diff --git a/latest-results.md b/latest-results.md
index f1f52ea..b168b5d 100644
--- a/latest-results.md
+++ b/latest-results.md
@@ -1,8 +1,8 @@
 # Python LSP Benchmark Comparison
 
-Generated from `results/bench-servers/summary-20260924T060612Z.json`
+Generated from `results/bench-servers/summary-20260925T060552Z.json`
 
-- Generated at: 20260924T060612Z
+- Generated at: 20260925T060552Z
 - Config: `github-releases`
 - Servers: pyright, ty, pyrefly, pylsp-mypy
 - Baseline server: Pyright (pyright)
@@ -13,7 +13,7 @@ Generated from `results/bench-servers/summary-20260924T060612Z.json`
 | Server | Version | Source |
 | --- | --- | --- |
 | Pyright | 1.1.414 | /home/runner/work/python-lsp-compare/python-lsp-compare/.python-lsp-compare/servers/pyright/1.1.414/package/dist/pyright-langserver.js |
-| Ty | 0.0.83 | /home/runner/work/python-lsp-compare/python-lsp-compare/.python-lsp-compare/servers/ty/0.0.83/ty-x86_64-unknown-linux-gnu/ty |
+| Ty | 0.0.84 | /home/runner/work/python-lsp-compare/python-lsp-compare/.python-lsp-compare/servers/ty/0.0.84/ty-x86_64-unknown-linux-gnu/ty |
 | Pyrefly | 1.3.1 | /home/runner/work/python-lsp-compare/python-lsp-compare/.python-lsp-compare/servers/pyrefly/venv/bin/pyrefly |
 | pylsp-mypy | 1.15.0 | /home/runner/work/python-lsp-compare/python-lsp-compare/.python-lsp-compare/servers/pylsp-mypy/venv/bin/pylsp |
 
@@ -30,10 +30,10 @@ Generated from `results/bench-servers/summary-20260924T060612Z.json`
 
 | Server | Success | Benchmarks | Wall clock ms | Avg measured ms | Measured requests | Non-empty % | Failed points |
 | --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 6 | 5047.01 | 4.10 | 150 | 100% | 0 |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | no | 8 | 16595.98 | 37.17 | 205 | 97% | 2 |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 6 | 38377.15 | 73.66 | 150 | 97% | 0 |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | no | 6 | 249936.78 | 365.30 | 150 | 80% | 5 |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 6 | 5257.23 | 4.55 | 150 | 100% | 0 |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | no | 8 | 16102.72 | 34.82 | 205 | 97% | 2 |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 6 | 40052.47 | 76.88 | 150 | 97% | 0 |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | no | 6 | 222643.69 | 379.02 | 150 | 80% | 5 |
 
 *Wall clock ms includes server startup, warmup iterations, and shutdown — but excludes one-time environment creation and dependency installation.*
 
@@ -41,10 +41,10 @@ Generated from `results/bench-servers/summary-20260924T060612Z.json`
 
 | Server | Success | Wall clock ms | Avg measured ms | Points | Measured requests | Non-empty % | Failed points |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 507.40 | 3.91 | 5 | 25 | 100% | 0 |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 1211.71 | 25.41 | 5 | 25 | 100% | 0 |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 4543.71 | 75.39 | 5 | 25 | 100% | 0 |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | no | 7879.65 | 115.37 | 5 | 25 | 80% | 1 |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 547.86 | 4.73 | 5 | 25 | 100% | 0 |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 1140.68 | 25.02 | 5 | 25 | 100% | 0 |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 4713.95 | 81.57 | 5 | 25 | 100% | 0 |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | no | 8034.45 | 114.46 | 5 | 25 | 80% | 1 |
 
 ### dataframe completion
 
@@ -52,10 +52,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 1.60 | 1.75 | 100% | 223.00 | +22.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 6.25 | 11.74 | 100% | 201.00 | 0.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 88.90 | 350.32 | 100% | 250.00 | +49.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 225.66 | 419.59 | 100% | 188.00 | -13.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 1.74 | 1.90 | 100% | 223.00 | +22.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 6.09 | 10.09 | 100% | 201.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 90.29 | 352.80 | 100% | 250.00 | +49.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 214.65 | 497.89 | 100% | 188.00 | -13.00 | pass |
 
 ### dataframe describe hover
 
@@ -63,10 +63,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 0.32 | 0.33 | 100% | 4232.00 | +213.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 1.07 | 1.44 | 100% | 4019.00 | 0.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 2.45 | 2.70 | 100% | 3182.00 | -837.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 179.85 | 181.69 | 100% | 4134.00 | +115.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 0.31 | 0.32 | 100% | 4232.00 | +213.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 1.15 | 1.57 | 100% | 4019.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 2.42 | 2.70 | 100% | 3182.00 | -837.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 182.60 | 185.16 | 100% | 4134.00 | +115.00 | pass |
 
 ### summarize definition
 
@@ -74,10 +74,10 @@ Method: `textDocument/definition`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Definitions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 0.21 | 0.22 | 100% | 1.00 | 0.00 | pass |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 0.22 | 0.22 | 100% | 1.00 | 0.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 0.36 | 0.41 | 100% | 1.00 | 0.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 1.05 | 1.11 | 100% | 1.00 | 0.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 0.21 | 0.22 | 100% | 1.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 0.23 | 0.24 | 100% | 1.00 | 0.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 0.41 | 0.46 | 100% | 1.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 1.41 | 1.53 | 100% | 1.00 | 0.00 | pass |
 
 ### edit array then complete (edit+completion)
 
@@ -85,10 +85,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | no | 4.36 | 4.62 | 0% | 0.00 | -168.00 | fail (10) |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 12.06 | 14.40 | 100% | 168.00 | 0.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 32.99 | 50.34 | 100% | 149.00 | -19.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 336.71 | 488.72 | 100% | 168.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | no | 5.02 | 5.52 | 0% | 0.00 | -168.00 | fail (10) |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 15.33 | 16.89 | 100% | 168.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 30.46 | 44.94 | 100% | 149.00 | -19.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 368.32 | 484.12 | 100% | 168.00 | 0.00 | pass |
 
 ### edit array then hover (edit+hover)
 
@@ -96,10 +96,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 2.50 | 2.53 | 100% | 2546.00 | +2268.00 | pass |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 5.38 | 5.63 | 100% | 267.00 | -11.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 32.56 | 36.96 | 100% | 278.00 | 0.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 165.95 | 169.90 | 100% | 5662.00 | +5384.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 1.68 | 3.52 | 100% | 2546.00 | +2268.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 6.09 | 6.42 | 100% | 267.00 | -11.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 31.89 | 32.80 | 100% | 278.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 168.64 | 171.24 | 100% | 5662.00 | +5384.00 | pass |
 
 ### Result Differences
 
@@ -112,10 +112,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Wall clock ms | Avg measured ms | Points | Measured requests | Non-empty % | Failed points |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 258.18 | 2.55 | 5 | 25 | 100% | 0 |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 294.37 | 4.61 | 5 | 25 | 100% | 0 |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 1465.40 | 14.18 | 5 | 25 | 100% | 0 |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 7691.33 | 172.16 | 5 | 25 | 100% | 0 |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 264.33 | 2.69 | 5 | 25 | 100% | 0 |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 294.48 | 4.49 | 5 | 25 | 100% | 0 |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 1522.55 | 15.25 | 5 | 25 | 100% | 0 |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 8072.02 | 180.04 | 5 | 25 | 100% | 0 |
 
 ### queryset completion
 
@@ -123,10 +123,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 4.61 | 7.35 | 100% | 10.00 | 0.00 | pass |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 4.72 | 7.07 | 100% | 261.00 | +251.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 15.42 | 60.47 | 100% | 15.00 | +5.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 208.65 | 638.35 | 100% | 2.00 | -8.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 5.04 | 7.54 | 100% | 261.00 | +251.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 5.24 | 8.38 | 100% | 10.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 15.72 | 61.79 | 100% | 15.00 | +5.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 218.92 | 665.80 | 100% | 2.00 | -8.00 | pass |
 
 ### queryset filter hover
 
@@ -134,10 +134,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 0.25 | 0.28 | 100% | 46.00 | -11.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 0.30 | 0.39 | 100% | 298.00 | +241.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 0.55 | 0.61 | 100% | 57.00 | 0.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 154.43 | 156.34 | 100% | 57.00 | 0.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 0.24 | 0.25 | 100% | 46.00 | -11.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 0.33 | 0.45 | 100% | 298.00 | +241.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 0.58 | 0.64 | 100% | 57.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 163.43 | 172.51 | 100% | 57.00 | 0.00 | pass |
 
 ### model definition
 
@@ -145,10 +145,10 @@ Method: `textDocument/definition`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Definitions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 0.21 | 0.21 | 100% | 1.00 | 0.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 0.22 | 0.24 | 100% | 1.00 | 0.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 0.38 | 0.43 | 100% | 1.00 | 0.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 1.05 | 1.08 | 100% | 1.00 | 0.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 0.20 | 0.21 | 100% | 1.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 0.22 | 0.24 | 100% | 1.00 | 0.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 1.09 | 3.13 | 100% | 1.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 1.10 | 1.13 | 100% | 1.00 | 0.00 | pass |
 
 ### edit queryset then complete (edit+completion)
 
@@ -156,10 +156,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 4.51 | 4.76 | 100% | 104.00 | 0.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 6.49 | 20.11 | 100% | 83.00 | -21.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 26.47 | 29.56 | 100% | 104.00 | 0.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 252.14 | 286.33 | 100% | 143.00 | +39.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 2.08 | 2.20 | 100% | 83.00 | -21.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 4.85 | 5.60 | 100% | 104.00 | 0.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 28.14 | 29.66 | 100% | 104.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 264.25 | 307.68 | 100% | 143.00 | +39.00 | pass |
 
 ### edit queryset then hover (edit+hover)
 
@@ -167,10 +167,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 0.64 | 0.66 | 100% | 858.00 | +775.00 | pass |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 3.06 | 3.10 | 100% | 100.00 | +17.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 38.90 | 44.11 | 100% | 83.00 | 0.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 244.54 | 249.05 | 100% | 71.00 | -12.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 3.11 | 3.15 | 100% | 100.00 | +17.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 4.12 | 11.07 | 100% | 858.00 | +775.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 41.20 | 49.16 | 100% | 83.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 252.50 | 255.68 | 100% | 71.00 | -12.00 | pass |
 
 ### Result Differences
 
@@ -183,10 +183,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Wall clock ms | Avg measured ms | Points | Measured requests | Non-empty % | Failed points |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 830.51 | 7.90 | 5 | 25 | 100% | 0 |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 1232.89 | 31.43 | 5 | 25 | 100% | 0 |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 7896.78 | 135.92 | 5 | 25 | 100% | 0 |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 11426.79 | 186.74 | 5 | 25 | 100% | 0 |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 859.75 | 8.43 | 5 | 25 | 100% | 0 |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 1156.70 | 29.12 | 5 | 25 | 100% | 0 |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 8225.58 | 142.58 | 5 | 25 | 100% | 0 |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 11762.89 | 188.87 | 5 | 25 | 100% | 0 |
 
 ### report dataframe completion
 
@@ -194,10 +194,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 18.23 | 22.00 | 100% | 1000.00 | +728.80 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 77.60 | 157.39 | 100% | 6.00 | -265.20 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 78.84 | 265.02 | 100% | 271.20 | 0.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 81.21 | 322.92 | 100% | 16.00 | -255.20 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 18.53 | 22.16 | 100% | 1000.00 | +728.80 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 80.56 | 265.96 | 100% | 271.20 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 88.82 | 200.14 | 100% | 6.00 | -265.20 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 92.24 | 368.00 | 100% | 16.00 | -255.20 | pass |
 
 ### dataframe groupby hover
 
@@ -205,10 +205,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 0.28 | 0.31 | 100% | 329.00 | -21.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 0.77 | 0.88 | 100% | 350.00 | 0.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 4.67 | 5.88 | 100% | 2759.00 | +2409.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 191.70 | 193.30 | 100% | 301.00 | -49.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 0.29 | 0.31 | 100% | 329.00 | -21.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 0.77 | 0.86 | 100% | 350.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 2.33 | 2.50 | 100% | 2759.00 | +2409.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 195.33 | 201.68 | 100% | 301.00 | -49.00 | pass |
 
 ### build report definition
 
@@ -216,10 +216,10 @@ Method: `textDocument/definition`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Definitions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 0.21 | 0.22 | 100% | 1.00 | 0.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 0.44 | 0.50 | 100% | 1.00 | 0.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 1.05 | 1.10 | 100% | 1.00 | 0.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 2.93 | 2.94 | 100% | 1.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 0.21 | 0.22 | 100% | 1.00 | 0.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 0.23 | 0.23 | 100% | 1.00 | 0.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 0.36 | 0.45 | 100% | 1.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 1.25 | 1.51 | 100% | 1.00 | 0.00 | pass |
 
 ### edit dataframe then complete (edit+completion)
 
@@ -227,10 +227,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 16.34 | 17.18 | 100% | 448.00 | +8.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 46.41 | 68.95 | 100% | 256.00 | -184.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 227.43 | 232.47 | 100% | 441.00 | +1.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 840.83 | 1378.03 | 100% | 440.00 | 0.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 18.41 | 19.45 | 100% | 448.00 | +8.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 43.63 | 66.53 | 100% | 256.00 | -184.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 240.28 | 247.06 | 100% | 441.00 | +1.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 851.42 | 1397.31 | 100% | 440.00 | 0.00 | pass |
 
 ### edit dataframe then hover (edit+hover)
 
@@ -238,10 +238,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 4.45 | 4.55 | 100% | 4441.00 | +149.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 12.80 | 15.54 | 100% | 4292.00 | 0.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 21.95 | 83.00 | 100% | 943.00 | -3349.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 181.80 | 183.43 | 100% | 232.00 | -4060.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 4.68 | 4.85 | 100% | 4441.00 | +149.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 7.22 | 17.34 | 100% | 943.00 | -3349.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 11.22 | 13.38 | 100% | 4292.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 187.22 | 190.81 | 100% | 232.00 | -4060.00 | pass |
 
 ### Result Differences
 
@@ -254,10 +254,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Wall clock ms | Avg measured ms | Points | Measured requests | Non-empty % | Failed points |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 366.71 | 2.58 | 5 | 25 | 100% | 0 |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 919.12 | 20.44 | 5 | 25 | 100% | 0 |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 3582.24 | 48.24 | 5 | 25 | 100% | 0 |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | no | 7188.29 | 114.45 | 5 | 25 | 60% | 2 |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 385.26 | 2.93 | 5 | 25 | 100% | 0 |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 894.53 | 19.16 | 5 | 25 | 100% | 0 |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 3876.16 | 52.07 | 5 | 25 | 100% | 0 |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | no | 7473.87 | 126.24 | 5 | 25 | 60% | 2 |
 
 ### query completion
 
@@ -265,10 +265,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 3.29 | 7.20 | 100% | 1.00 | 0.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 7.49 | 13.30 | 100% | 1.00 | 0.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 84.29 | 336.20 | 100% | 15.00 | +14.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 168.87 | 427.48 | 100% | 1.00 | 0.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 3.32 | 7.43 | 100% | 1.00 | 0.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 15.15 | 27.81 | 100% | 1.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 90.66 | 361.70 | 100% | 15.00 | +14.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 218.77 | 432.53 | 100% | 1.00 | 0.00 | pass |
 
 ### sessionmaker hover
 
@@ -276,10 +276,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 0.40 | 0.42 | 100% | 10621.00 | +49.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 1.29 | 1.63 | 100% | 10572.00 | 0.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 3.26 | 5.05 | 100% | 15232.00 | +4660.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 323.92 | 324.79 | 100% | 10498.00 | -74.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 0.41 | 0.43 | 100% | 10621.00 | +42.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 0.98 | 1.07 | 100% | 15239.00 | +4660.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 3.34 | 7.80 | 100% | 10579.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 333.13 | 339.32 | 100% | 10498.00 | -81.00 | pass |
 
 ### mapped class definition
 
@@ -287,10 +287,10 @@ Method: `textDocument/definition`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Definitions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 0.22 | 0.22 | 100% | 2.00 | +1.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 0.41 | 0.45 | 100% | 1.00 | 0.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 1.10 | 1.14 | 100% | 1.00 | 0.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 2.73 | 2.93 | 100% | 1.00 | 0.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 0.23 | 0.24 | 100% | 2.00 | +1.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 0.26 | 0.28 | 100% | 1.00 | 0.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 0.74 | 1.62 | 100% | 1.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 1.30 | 1.67 | 100% | 1.00 | 0.00 | pass |
 
 ### edit query then complete (edit+completion)
 
@@ -298,10 +298,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 3.97 | 6.37 | 100% | 17.00 | -21.00 | pass |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 4.68 | 4.95 | 100% | 23.00 | -15.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | no | 39.09 | 39.88 | 0% | 0.00 | -38.00 | fail (10) |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 141.15 | 205.91 | 100% | 38.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 1.82 | 3.06 | 100% | 17.00 | -21.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 5.51 | 6.21 | 100% | 23.00 | -15.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | no | 40.09 | 41.63 | 0% | 0.00 | -38.00 | fail (10) |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 140.80 | 175.88 | 100% | 38.00 | 0.00 | pass |
 
 ### edit session then hover (edit+hover)
 
@@ -309,27 +309,27 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 4.32 | 4.40 | 100% | 958.00 | +58.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 7.93 | 24.73 | 100% | 2246.00 | +1346.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | no | 39.28 | 39.42 | 0% | 0.00 | -900.00 | fail (10) |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 90.86 | 98.35 | 100% | 900.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 2.11 | 5.48 | 100% | 2242.00 | +1349.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 5.18 | 5.28 | 100% | 951.00 | +58.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | no | 37.93 | 38.08 | 0% | 0.00 | -893.00 | fail (10) |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 100.32 | 109.98 | 100% | 893.00 | 0.00 | pass |
 
 ### Result Differences
 
 - query completion: result differences detected (1.00, 15.00).
-- sessionmaker hover: result differences detected (10498.00, 10572.00, 10621.00, 15232.00).
+- sessionmaker hover: result differences detected (10498.00, 10579.00, 10621.00, 15239.00).
 - mapped class definition: result differences detected (1.00, 2.00).
 - edit query then complete (edit+completion): result differences detected (0.00, 17.00, 23.00, 38.00).
-- edit session then hover (edit+hover): result differences detected (0.00, 2246.00, 900.00, 958.00).
+- edit session then hover (edit+hover): result differences detected (0.00, 2242.00, 893.00, 951.00).
 
 ## Benchmark: transformers
 
 | Server | Success | Wall clock ms | Avg measured ms | Points | Measured requests | Non-empty % | Failed points |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 2732.83 | 4.73 | 5 | 25 | 100% | 0 |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 15832.26 | 108.35 | 5 | 25 | 80% | 0 |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 5816.53 | 185.85 | 5 | 25 | 80% | 0 |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | no | 214440.64 | 1548.26 | 5 | 25 | 40% | 2 |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 2837.23 | 5.55 | 5 | 25 | 100% | 0 |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 16609.58 | 113.87 | 5 | 25 | 80% | 0 |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 5533.74 | 175.02 | 5 | 25 | 80% | 0 |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | no | 185725.04 | 1593.05 | 5 | 25 | 40% | 2 |
 
 ### classifier pipeline completion
 
@@ -337,10 +337,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 11.32 | 12.38 | 100% | 777.00 | +654.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 50.54 | 82.65 | 100% | 123.00 | 0.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 151.68 | 154.56 | 100% | 2.00 | -121.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 896.29 | 3557.04 | 100% | 15.00 | -108.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 12.16 | 13.05 | 100% | 777.00 | +654.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 52.47 | 77.79 | 100% | 123.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 146.75 | 150.04 | 100% | 2.00 | -121.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 850.43 | 3400.86 | 100% | 15.00 | -108.00 | pass |
 
 ### pipeline hover
 
@@ -348,10 +348,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 0.33 | 0.67 | 100% | 7.00 | -27.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 0.45 | 0.51 | 100% | 34.00 | 0.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 3.53 | 5.35 | 100% | 48.00 | +14.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | no | 2767.88 | 2795.77 | 0% | 0.00 | -34.00 | fail (10) |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 0.22 | 0.23 | 100% | 48.00 | +14.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 0.25 | 0.28 | 100% | 7.00 | -27.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 0.45 | 0.51 | 100% | 34.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | no | 2814.45 | 2881.02 | 0% | 0.00 | -34.00 | fail (10) |
 
 ### auto tokenizer definition
 
@@ -359,10 +359,10 @@ Method: `textDocument/definition`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Definitions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 0.28 | 0.31 | 100% | 1.00 | 0.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 0.42 | 0.48 | 100% | 1.00 | 0.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 1.18 | 2.56 | 100% | 1.00 | 0.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 2199.99 | 2243.39 | 100% | 1.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 0.24 | 0.27 | 100% | 1.00 | 0.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 0.29 | 0.31 | 100% | 1.00 | 0.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 0.48 | 0.57 | 100% | 1.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 2282.52 | 2350.46 | 100% | 1.00 | 0.00 | pass |
 
 ### edit prediction then complete (edit+completion)
 
@@ -370,10 +370,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 2.79 | 3.05 | 0% | 0.00 | 0.00 | pass |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 5.97 | 6.14 | 100% | 23.00 | +23.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 6.72 | 9.09 | 0% | 0.00 | 0.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 25.02 | 37.31 | 0% | 0.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 2.80 | 9.74 | 0% | 0.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 2.80 | 3.04 | 0% | 0.00 | 0.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 7.10 | 7.79 | 100% | 23.00 | +23.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 7.32 | 9.53 | 0% | 0.00 | 0.00 | pass |
 
 ### edit tokenizer then hover (edit+hover)
 
@@ -381,10 +381,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 3.23 | 5.44 | 100% | 33.00 | +3.00 | pass |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 5.75 | 5.79 | 100% | 7.00 | -23.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 483.59 | 517.71 | 100% | 30.00 | 0.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | no | 2618.97 | 2639.89 | 0% | 0.00 | -30.00 | fail (10) |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 7.92 | 8.78 | 100% | 7.00 | -23.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 21.40 | 38.85 | 100% | 33.00 | +3.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 508.63 | 537.46 | 100% | 30.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | no | 2718.75 | 2742.15 | 0% | 0.00 | -30.00 | fail (10) |
 
 ### Result Differences
 
@@ -397,10 +397,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Wall clock ms | Avg measured ms | Points | Measured requests | Non-empty % | Failed points |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 351.39 | 2.91 | 5 | 25 | 100% | 0 |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 1526.75 | 9.08 | 5 | 25 | 100% | 0 |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 919.76 | 15.55 | 5 | 25 | 100% | 0 |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 4840.11 | 105.62 | 5 | 25 | 100% | 0 |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 362.80 | 3.00 | 5 | 25 | 100% | 0 |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 1567.35 | 9.64 | 5 | 25 | 100% | 0 |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 1000.96 | 17.72 | 5 | 25 | 100% | 0 |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 5112.74 | 117.74 | 5 | 25 | 100% | 0 |
 
 ### request args completion
 
@@ -408,10 +408,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 4.75 | 8.64 | 100% | 14.00 | 0.00 | pass |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 6.29 | 9.21 | 100% | 467.00 | +453.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 66.83 | 203.05 | 100% | 487.80 | +473.80 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 79.83 | 132.23 | 100% | 1.00 | -13.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 6.05 | 8.42 | 100% | 467.00 | +453.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 6.08 | 10.83 | 100% | 14.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 80.66 | 243.42 | 100% | 487.80 | +473.80 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 95.38 | 175.80 | 100% | 1.00 | -13.00 | pass |
 
 ### client session hover
 
@@ -419,10 +419,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 0.23 | 0.26 | 100% | 7.00 | -19.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 0.52 | 0.60 | 100% | 26.00 | 0.00 | pass |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 5.25 | 18.35 | 100% | 167.00 | +141.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 123.34 | 196.06 | 100% | 359.00 | +333.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 0.22 | 0.24 | 100% | 7.00 | -19.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 0.54 | 0.61 | 100% | 26.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 5.55 | 19.53 | 100% | 167.00 | +141.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 154.19 | 301.43 | 100% | 359.00 | +333.00 | pass |
 
 ### client references
 
@@ -430,10 +430,10 @@ Method: `textDocument/references`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | References found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 0.33 | 0.35 | 100% | 2.00 | 0.00 | pass |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 0.61 | 0.72 | 100% | 2.00 | 0.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 0.81 | 1.02 | 100% | 2.00 | 0.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 6.93 | 16.32 | 100% | 2.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 0.33 | 0.35 | 100% | 2.00 | 0.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 0.65 | 0.77 | 100% | 2.00 | 0.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 0.77 | 0.87 | 100% | 2.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 3.08 | 3.53 | 100% | 2.00 | 0.00 | pass |
 
 ### edit response then complete (edit+completion)
 
@@ -441,10 +441,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 3.82 | 4.88 | 100% | 32.00 | -173.00 | pass |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 4.62 | 5.12 | 100% | 225.00 | +20.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 4.98 | 6.29 | 100% | 205.00 | 0.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 87.41 | 88.75 | 100% | 57.00 | -148.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 0.55 | 0.56 | 100% | 32.00 | -173.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 4.29 | 6.09 | 100% | 205.00 | 0.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 5.07 | 5.51 | 100% | 225.00 | +20.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 91.69 | 93.02 | 100% | 57.00 | -148.00 | pass |
 
 ### edit response then hover (edit+hover)
 
@@ -452,10 +452,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 1.51 | 1.54 | 100% | 9977.00 | +9557.00 | pass |
-| [Ty](latest-results/ty-20260924T060612Z.json) | yes | 2.79 | 2.80 | 100% | 1555.00 | +1135.00 | pass |
-| [Pyright](latest-results/pyright-20260924T060612Z.json) | yes | 34.36 | 39.32 | 100% | 420.00 | 0.00 | pass |
-| [pylsp-mypy](latest-results/pylsp-mypy-20260924T060612Z.json) | yes | 230.57 | 231.39 | 100% | 880.00 | +460.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 1.50 | 1.56 | 100% | 9977.00 | +9557.00 | pass |
+| [Ty](latest-results/ty-20260925T060552Z.json) | yes | 2.99 | 3.06 | 100% | 1555.00 | +1135.00 | pass |
+| [Pyright](latest-results/pyright-20260925T060552Z.json) | yes | 36.50 | 39.61 | 100% | 420.00 | 0.00 | pass |
+| [pylsp-mypy](latest-results/pylsp-mypy-20260925T060552Z.json) | yes | 244.36 | 255.60 | 100% | 880.00 | +460.00 | pass |
 
 ### Result Differences
 
@@ -468,7 +468,7 @@ Method: `textDocument/hover`
 
 | Server | Success | Wall clock ms | Avg measured ms | Points | Measured requests | Non-empty % | Failed points |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | no | 221.12 | 0.43 | 8 | 40 | 100% | 2 |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | no | 220.93 | 0.32 | 8 | 40 | 100% | 2 |
 
 ### builtins semantic tokens
 
@@ -476,7 +476,7 @@ Method: semantic token impl using typeServer/getComputedType
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Semantic tokens found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 1.85 | 4.39 | 100% | 30.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 0.99 | 1.06 | 100% | 30.00 | 0.00 | pass |
 
 ### builtin int computed type
 
@@ -484,7 +484,7 @@ Method: `typeServer/getComputedType`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Results found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 0.20 | 0.22 | 100% | 7.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 0.19 | 0.21 | 100% | 7.00 | 0.00 | pass |
 
 ### list declared type
 
@@ -492,7 +492,7 @@ Method: `typeServer/getDeclaredType`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Results found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 0.23 | 0.24 | 100% | 7.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 0.25 | 0.28 | 100% | 7.00 | 0.00 | pass |
 
 ### generic specialization computed type
 
@@ -500,7 +500,7 @@ Method: `typeServer/getComputedType`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Results found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 0.24 | 0.26 | 100% | 7.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 0.23 | 0.24 | 100% | 7.00 | 0.00 | pass |
 
 ### stdlib path computed type
 
@@ -508,7 +508,7 @@ Method: `typeServer/getComputedType`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Results found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 0.24 | 0.25 | 100% | 7.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 0.22 | 0.25 | 100% | 7.00 | 0.00 | pass |
 
 ### function argument expected type
 
@@ -516,13 +516,13 @@ Method: `typeServer/getExpectedType`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Results found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 0.23 | 0.25 | 100% | 7.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 0.25 | 0.26 | 100% | 7.00 | 0.00 | pass |
 
 ## Benchmark: tsp_semantic
 
 | Server | Success | Wall clock ms | Avg measured ms | Points | Measured requests | Non-empty % | Failed points |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 5980.47 | 34.71 | 3 | 15 | 100% | 0 |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 5860.70 | 24.13 | 3 | 15 | 100% | 0 |
 
 ### django semantic tokens
 
@@ -530,7 +530,7 @@ Method: semantic token impl using typeServer/getComputedType
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Semantic tokens found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 29.70 | 59.23 | 100% | 126.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 14.66 | 22.88 | 100% | 126.00 | 0.00 | pass |
 
 ### transformers semantic tokens
 
@@ -538,7 +538,7 @@ Method: semantic token impl using typeServer/getComputedType
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Semantic tokens found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 67.53 | 95.57 | 100% | 74.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 51.81 | 53.03 | 100% | 74.00 | 0.00 | pass |
 
 ### stdlib semantic tokens
 
@@ -546,4 +546,4 @@ Method: semantic token impl using typeServer/getComputedType
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Semantic tokens found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| [Pyrefly](latest-results/pyrefly-20260924T060612Z.json) | yes | 6.90 | 6.97 | 100% | 75.00 | 0.00 | pass |
+| [Pyrefly](latest-results/pyrefly-20260925T060552Z.json) | yes | 5.91 | 5.97 | 100% | 75.00 | 0.00 | pass |
diff --git a/latest-results/pylsp-mypy-20260924T060612Z-responses.jsonl b/latest-results/pylsp-mypy-20260925T060552Z-responses.jsonl
similarity index 98%
rename from latest-results/pylsp-mypy-20260924T060612Z-responses.jsonl
rename to latest-results/pylsp-mypy-20260925T060552Z-responses.jsonl
index 9170fc2..40da258 100644
--- a/latest-results/pylsp-mypy-20260924T060612Z-responses.jsonl
+++ b/latest-results/pylsp-mypy-20260925T060552Z-responses.jsonl
@@ -64,9 +64,9 @@
 {"suite": "pandas", "label": "build report definition", "method": "textDocument/definition", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py", "line": 16, "character": 17, "iteration": 4, "result": [{"uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py", "range": {"start": {"line": 3, "character": 4}, "end": {"line": 3, "character": 16}}}]}
 {"suite": "pandas", "label": "build report definition", "method": "textDocument/definition", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py", "line": 16, "character": 17, "iteration": 5, "result": [{"uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py", "range": {"start": {"line": 3, "character": 4}, "end": {"line": 3, "character": 16}}}]}
 {"suite": "pandas", "label": "edit dataframe then complete (edit+completion)", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py", "line": 17, "character": 39, "iteration": 1, "result": {"isIncomplete": false, "items": [{"label": "abs()", "kind": 3, "sortText": "aabs", "insertText": "abs", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "add(other, axis, level, fill_value)", "kind": 3, "sortText": "aadd", "insertText": "add", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "add_prefix(prefix, axis)", "kind": 3, "sortText": "aadd_prefix", "insertText": "add_prefix", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "add_suffix(suffix, axis)", "kind": 3, "sortText": "aadd_suffix", "insertText": "add_suffix", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "agg", "kind": 6, "sortText": "aagg", "insertText": "agg", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "aggregate(func, axis, args, kwargs)", "kind": 3, "sortText": "aaggregate", "insertText": "aggregate", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "align(other, join, axis, level, copy, fill_value, method, limit, fill_axis, broadcast_axis)", "kind": 3, "sortText": "aalign", "insertText": "align", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "all(axis, bool_only, skipna, kwargs)", "kind": 3, "sortText": "aall", "insertText": "all", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "any(axis, bool_only, skipna, kwargs)", "kind": 3, "sortText": "aany", "insertText": "any", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "apply(func, axis, raw, result_type, args, by_row, engine, engine_kwargs, kwargs)", "kind": 3, "sortText": "aapply", "insertText": "apply", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "applymap(func, na_action, kwargs)", "kind": 3, "sortText": "aapplymap", "insertText": "applymap", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "asfreq(freq, method, how, normalize, fill_value)", "kind": 3, "sortText": "aasfreq", "insertText": "asfreq", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "asof(where, subset)", "kind": 3, "sortText": "aasof", "insertText": "asof", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "assign(kwargs)", "kind": 3, "sortText": "aassign", "insertText": "assign", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "astype(dtype, copy, errors)", "kind": 3, "sortText": "aastype", "insertText": "astype", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "at", "kind": 10, "sortText": "aat", "insertText": "at", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "at_time(time, asof, axis)", "kind": 3, "sortText": "aat_time", "insertText": "at_time", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "attrs", "kind": 6, "sortText": "aattrs", "insertText": "attrs", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "axes", "kind": 10, "sortText": "aaxes", "insertText": "axes", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "backfill(axis, inplace, limit, downcast)", "kind": 3, "sortText": "abackfill", "insertText": "backfill", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "between_time(start_time, end_time, inclusive, axis)", "kind": 3, "sortText": "abetween_time", "insertText": "between_time", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "bfill(axis, inplace, limit, limit_area, downcast)", "kind": 3, "sortText": "abfill", "insertText": "bfill", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "bool()", "kind": 3, "sortText": "abool", "insertText": "bool", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "boxplot", "kind": 6, "sortText": "aboxplot", "insertText": "boxplot", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "clip(lower, upper, axis, inplace, kwargs)", "kind": 3, "sortText": "aclip", "insertText": "clip", "data": {"doc_uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/pandas/src/report.py"}}, {"label": "columns", "kind": 6, 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diff --git a/latest-results/pyrefly-20260924T060612Z-responses.jsonl b/latest-results/pyrefly-20260925T060552Z-responses.jsonl
similarity index 97%
rename from latest-results/pyrefly-20260924T060612Z-responses.jsonl
rename to latest-results/pyrefly-20260925T060552Z-responses.jsonl
index 85cbd4e..33d5ef2 100644
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@@ -78,26 +78,26 @@
 {"suite": "sqlalchemy", "label": "query completion", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 22, "iteration": 3, "result": {"isIncomplete": true, "items": [{"kind": 14, "label": "False", "sortText": "0.9999.False"}, {"kind": 14, "label": "None", "sortText": "0.9999.None"}, {"detail": "sessionmaker[Session]", "kind": 6, "label": "SessionLocal", "sortText": "0.9999.SessionLocal"}, {"kind": 14, "label": "True", "sortText": "0.9999.True"}, {"kind": 14, "label": "and", "sortText": "0.9999.and"}, {"kind": 14, "label": "await", "sortText": "0.9999.await"}, {"kind": 14, "label": "else", "sortText": "0.9999.else"}, {"kind": 14, "label": "for", "sortText": "0.9999.for"}, {"kind": 14, "label": "if", "sortText": "0.9999.if"}, {"kind": 14, "label": "in", "sortText": "0.9999.in"}, {"kind": 14, "label": "is", "sortText": "0.9999.is"}, {"kind": 14, "label": "lambda", "sortText": "0.9999.lambda"}, {"kind": 14, "label": "not", "sortText": "0.9999.not"}, {"kind": 14, "label": "or", "sortText": "0.9999.or"}, {"kind": 14, "label": "yield", "sortText": "0.9999.yield"}]}}
 {"suite": "sqlalchemy", "label": "query completion", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 22, "iteration": 4, "result": {"isIncomplete": true, "items": [{"kind": 14, "label": "False", "sortText": "0.9999.False"}, {"kind": 14, "label": "None", "sortText": "0.9999.None"}, {"detail": "sessionmaker[Session]", "kind": 6, "label": "SessionLocal", "sortText": "0.9999.SessionLocal"}, {"kind": 14, "label": "True", "sortText": "0.9999.True"}, {"kind": 14, "label": "and", "sortText": "0.9999.and"}, {"kind": 14, "label": "await", "sortText": "0.9999.await"}, {"kind": 14, "label": "else", "sortText": "0.9999.else"}, {"kind": 14, "label": "for", "sortText": "0.9999.for"}, {"kind": 14, "label": "if", "sortText": "0.9999.if"}, {"kind": 14, "label": "in", "sortText": "0.9999.in"}, {"kind": 14, "label": "is", "sortText": "0.9999.is"}, {"kind": 14, "label": "lambda", "sortText": "0.9999.lambda"}, {"kind": 14, "label": "not", "sortText": "0.9999.not"}, {"kind": 14, "label": "or", "sortText": "0.9999.or"}, {"kind": 14, "label": "yield", "sortText": "0.9999.yield"}]}}
 {"suite": "sqlalchemy", "label": "query completion", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 22, "iteration": 5, "result": {"isIncomplete": true, "items": [{"kind": 14, "label": "False", "sortText": "0.9999.False"}, {"kind": 14, "label": "None", "sortText": "0.9999.None"}, {"detail": "sessionmaker[Session]", "kind": 6, "label": "SessionLocal", "sortText": "0.9999.SessionLocal"}, {"kind": 14, "label": "True", "sortText": "0.9999.True"}, {"kind": 14, "label": "and", "sortText": "0.9999.and"}, {"kind": 14, "label": "await", "sortText": "0.9999.await"}, {"kind": 14, "label": "else", "sortText": "0.9999.else"}, {"kind": 14, "label": "for", "sortText": "0.9999.for"}, {"kind": 14, "label": "if", "sortText": "0.9999.if"}, {"kind": 14, "label": "in", "sortText": "0.9999.in"}, {"kind": 14, "label": "is", "sortText": "0.9999.is"}, {"kind": 14, "label": "lambda", "sortText": "0.9999.lambda"}, {"kind": 14, "label": "not", "sortText": "0.9999.not"}, {"kind": 14, "label": "or", "sortText": "0.9999.or"}, {"kind": 14, "label": "yield", "sortText": "0.9999.yield"}]}}
-{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 1, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(function) mapped_column: def mapped_column[_T](\n    __name_pos         : SchemaEventTarget | TypeEngine[Any] | str | type[TypeEngine[Any]] | None = None,\n    __type_pos         : SchemaEventTarget | TypeEngine[Any] | type[TypeEngine[Any]] | None       = None,\n    *args              : SchemaEventTarget,\n    *,\n    init               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    repr               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    default            : Any | None                                                               = _NoArg.NO_ARG,\n    default_factory    : (() -> _T) | _NoArg                                                      = _NoArg.NO_ARG,\n    compare            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    kw_only            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    hash               : _NoArg | bool | None                                                     = _NoArg.NO_ARG,\n    nullable           : Literal[SchemaConst.NULL_UNSPECIFIED] | bool | None                      = SchemaConst.NULL_UNSPECIFIED,\n    primary_key        : bool | None                                                              = False,\n    deferred           : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    deferred_group     : str | None                                                               = None,\n    deferred_raiseload : bool | None                                                              = None,\n    use_existing_column: bool                                                                     = False,\n    name               : str | None                                                               = None,\n    type_              : TypeEngine[Any] | type[TypeEngine[Any]] | None                           = None,\n    autoincrement      : _AutoIncrementType                                                       = 'auto',\n    doc                : str | None                                                               = None,\n    key                : str | None                                                               = None,\n    index              : bool | None                                                              = None,\n    unique             : bool | None                                                              = None,\n    info               : dict[Any, Any] | None                                                    = None,\n    onupdate           : Any | None                                                               = None,\n    insert_default     : Any | None                                                               = _NoArg.NO_ARG,\n    server_default     : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    server_onupdate    : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    active_history     : bool                                                                     = False,\n    quote              : bool | None                                                              = None,\n    system             : bool                                                                     = False,\n    comment            : str | None                                                               = None,\n    sort_order         : _NoArg | int                                                             = _NoArg.NO_ARG,\n    dataclass_metadata : Mapping[Any, Any] | _NoArg | None                                        = _NoArg.NO_ARG,\n    **kw               : Any\n) -> MappedColumn[Any]: ...\n```\n---\ndeclare a new ORM-mapped `_schema.Column` construct  \nfor use within `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \nThe `_orm.mapped_column` function provides an ORM-aware and  \nPython-typing-compatible construct which is used with  \n`declarative <orm_declarative_mapping>` mappings to indicate an  \nattribute that's mapped to a Core `_schema.Column` object.  It  \nprovides the equivalent feature as mapping an attribute to a  \n`_schema.Column` object directly when using Declarative,  \nspecifically when using `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \n.. versionadded:: 2.0  \n  \n`_orm.mapped_column` is normally used with explicit typing along with  \nthe `_orm.Mapped` annotation type, where it can derive the SQL  \ntype and nullability for the column based on what's present within the  \n`_orm.Mapped` annotation.   It also may be used without annotations  \nas a drop-in replacement for how `_schema.Column` is used in  \nDeclarative mappings in SQLAlchemy 1.x style.  \n  \nFor usage examples of `_orm.mapped_column`, see the documentation  \nat `orm_declarative_table`.  \n  \n.. seealso:  \n  \n```  \n`orm_declarative_table` - complete documentation  \n  \n`whatsnew_20_orm_declarative_typing` - migration notes for  \nDeclarative mappings using 1.x style mappings  \n  \n```  \n:param __name: String name to give to the `_schema.Column`.  This  \n&nbsp;is an optional, positional only argument that if present must be the  \n&nbsp;first positional argument passed.  If omitted, the attribute name to  \n&nbsp;which the `_orm.mapped_column`  is mapped will be used as the SQL  \n&nbsp;column name.  \n:param __type: `_types.TypeEngine` type or instance which will  \n&nbsp;indicate the datatype to be associated with the `_schema.Column`.  \n&nbsp;This is an optional, positional-only argument that if present must  \n&nbsp;immediately follow the ``__name`` parameter if present also, or otherwise  \n&nbsp;be the first positional parameter.  If omitted, the ultimate type for  \n&nbsp;the column may be derived either from the annotated type, or if a  \n&nbsp;`_schema.ForeignKey` is present, from the datatype of the  \n&nbsp;referenced column.  \n:param \\*args: Additional positional arguments include constructs such  \n&nbsp;as `_schema.ForeignKey`, `_schema.CheckConstraint`,  \n&nbsp;and `_schema.Identity`, which are passed through to the constructed  \n&nbsp;`_schema.Column`.  \n:param nullable: Optional bool, whether the column should be \"NULL\" or  \n&nbsp;\"NOT NULL\". If omitted, the nullability is derived from the type  \n&nbsp;annotation based on whether or not ``typing.Optional`` (or its equivalent)  \n&nbsp;is present.  ``nullable`` defaults to ``True`` otherwise for non-primary  \n&nbsp;key columns, and ``False`` for primary key columns.  \n:param primary_key: optional bool, indicates the `_schema.Column`  \n&nbsp;would be part of the table's primary key or not.  \n:param deferred: Optional bool - this keyword argument is consumed by the  \n&nbsp;ORM declarative process, and is not part of the `_schema.Column`  \n&nbsp;itself; instead, it indicates that this column should be \"deferred\" for  \n&nbsp;loading as though mapped by `_orm.deferred`.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_declarative`  \n  \n```  \n:param deferred_group: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.group` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_group`  \n  \n```  \n:param deferred_raiseload: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.raiseload` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_raiseload`  \n  \n```  \n:param use_existing_column: if True, will attempt to locate the given  \n&nbsp;column name on an inherited superclass (typically single inheriting  \n&nbsp;superclass), and if present, will not produce a new column, mapping  \n&nbsp;to the superclass column as though it were omitted from this class.  \n&nbsp;This is used for mixins that add new columns to an inherited superclass.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_inheritance_column_conflicts`  \n  \n```  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter if the  \n&nbsp;`_orm.mapped_column.insert_default` parameter is not present.  \n&nbsp;Additionally, when used with `orm_declarative_native_dataclasses`,  \n&nbsp;indicates a default Python value that should be applied to the keyword  \n&nbsp;constructor within the generated ``__init__()`` method.  \n  \n&nbsp;Note that in the case of dataclass generation when  \n&nbsp;`_orm.mapped_column.insert_default` is not present, this means  \n&nbsp;the `_orm.mapped_column.default` value is used in **two**  \n&nbsp;places, both the ``__init__()`` method as well as the  \n&nbsp;`_schema.Column.default` parameter. While this behavior may  \n&nbsp;change in a future release, for the moment this tends to \"work out\"; a  \n&nbsp;default of ``None`` will mean that the `_schema.Column` gets no  \n&nbsp;default generator, whereas a default that refers to a non-``None`` Python  \n&nbsp;or SQL expression value will be assigned up front on the object when  \n&nbsp;``__init__()`` is called, which is the same value that the Core  \n&nbsp;`_sql.Insert` construct would use in any case, leading to the same  \n&nbsp;end result.  \n  \n&nbsp;.. note:: When using Core level column defaults that are callables to  \n&nbsp;&nbsp;&nbsp;&nbsp;be interpreted by the underlying `_schema.Column` in conjunction  \n&nbsp;&nbsp;&nbsp;&nbsp;with `ORM-mapped dataclasses  \n&nbsp;&nbsp;&nbsp;&nbsp;<orm_declarative_native_dataclasses>`, especially those that are  \n&nbsp;&nbsp;&nbsp;&nbsp;`context-aware default functions <context_default_functions>`,  \n&nbsp;&nbsp;&nbsp;&nbsp;**the** `_orm.mapped_column.insert_default` **parameter must  \n&nbsp;&nbsp;&nbsp;&nbsp;be used instead**.  This is necessary to disambiguate the callable from  \n&nbsp;&nbsp;&nbsp;&nbsp;being interpreted as a dataclass level default.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param insert_default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter; will supersede the value  \n&nbsp;of `_orm.mapped_column.default` when present, however  \n&nbsp;`_orm.mapped_column.default` will always apply to the  \n&nbsp;constructor default for a dataclasses mapping.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param sort_order: An integer that indicates how this mapped column  \n&nbsp;should be sorted compared to the others when the ORM is creating a  \n&nbsp;`_schema.Table`. Among mapped columns that have the same  \n&nbsp;value the default ordering is used, placing first the mapped columns  \n&nbsp;defined in the main class, then the ones in the super classes.  \n&nbsp;Defaults to 0. The sort is ascending.  \n  \n&nbsp;.. versionadded:: 2.0.4  \n  \n:param active_history=False:  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;When ``True``, indicates that the \"previous\" value for a  \n&nbsp;&nbsp;&nbsp;&nbsp;scalar attribute should be loaded when replaced, if not  \n&nbsp;&nbsp;&nbsp;&nbsp;already loaded. Normally, history tracking logic for  \n&nbsp;&nbsp;&nbsp;&nbsp;simple non-primary-key scalar values only needs to be  \n&nbsp;&nbsp;&nbsp;&nbsp;aware of the \"new\" value in order to perform a flush. This  \n&nbsp;&nbsp;&nbsp;&nbsp;flag is available for applications that make use of  \n&nbsp;&nbsp;&nbsp;&nbsp;`.attributes.get_history` or `.Session.is_modified`  \n&nbsp;&nbsp;&nbsp;&nbsp;which also need to know the \"previous\" value of the attribute.  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;.. versionadded:: 2.0.10  \n  \n  \n:param init: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n:param repr: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__repr__()``  \n&nbsp;method as generated by the dataclass process.  \n:param default_factory: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`,  \n&nbsp;specifies a default-value generation function that will take place  \n&nbsp;as part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n```  \n:param compare: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be included in comparison operations when generating the  \n&nbsp;``__eq__()`` and ``__ne__()`` methods for the mapped class.  \n  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param kw_only: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be marked as keyword-only when generating the ``__init__()``.  \n  \n:param hash: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, controls if this field  \n&nbsp;is included when generating the ``__hash__()`` method for the mapped  \n&nbsp;class.  \n  \n&nbsp;.. versionadded:: 2.0.36  \n  \n:param dataclass_metadata: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, supplies metadata  \n&nbsp;to be attached to the generated dataclass field.  \n  \n&nbsp;.. versionadded:: 2.0.42  \n  \n:param \\**kw: All remaining keyword arguments are passed through to the  \n&nbsp;constructor for the `_schema.Column`.\n\nGo to [SchemaEventTarget](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L1403,7) | [TypeEngine](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/type_api.py#L118,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [_NoArg](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L106,7) | [bool](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3200,7) | [SchemaConst](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L131,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ColumnElement](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L1223,7) | [FetchedValue](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L3989,7) | [TextClause](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L2235,7) | [int](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L418,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [MappedColumn](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/properties.py#L511,7)"}}}
-{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 2, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(function) mapped_column: def mapped_column[_T](\n    __name_pos         : SchemaEventTarget | TypeEngine[Any] | str | type[TypeEngine[Any]] | None = None,\n    __type_pos         : SchemaEventTarget | TypeEngine[Any] | type[TypeEngine[Any]] | None       = None,\n    *args              : SchemaEventTarget,\n    *,\n    init               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    repr               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    default            : Any | None                                                               = _NoArg.NO_ARG,\n    default_factory    : (() -> _T) | _NoArg                                                      = _NoArg.NO_ARG,\n    compare            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    kw_only            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    hash               : _NoArg | bool | None                                                     = _NoArg.NO_ARG,\n    nullable           : Literal[SchemaConst.NULL_UNSPECIFIED] | bool | None                      = SchemaConst.NULL_UNSPECIFIED,\n    primary_key        : bool | None                                                              = False,\n    deferred           : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    deferred_group     : str | None                                                               = None,\n    deferred_raiseload : bool | None                                                              = None,\n    use_existing_column: bool                                                                     = False,\n    name               : str | None                                                               = None,\n    type_              : TypeEngine[Any] | type[TypeEngine[Any]] | None                           = None,\n    autoincrement      : _AutoIncrementType                                                       = 'auto',\n    doc                : str | None                                                               = None,\n    key                : str | None                                                               = None,\n    index              : bool | None                                                              = None,\n    unique             : bool | None                                                              = None,\n    info               : dict[Any, Any] | None                                                    = None,\n    onupdate           : Any | None                                                               = None,\n    insert_default     : Any | None                                                               = _NoArg.NO_ARG,\n    server_default     : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    server_onupdate    : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    active_history     : bool                                                                     = False,\n    quote              : bool | None                                                              = None,\n    system             : bool                                                                     = False,\n    comment            : str | None                                                               = None,\n    sort_order         : _NoArg | int                                                             = _NoArg.NO_ARG,\n    dataclass_metadata : Mapping[Any, Any] | _NoArg | None                                        = _NoArg.NO_ARG,\n    **kw               : Any\n) -> MappedColumn[Any]: ...\n```\n---\ndeclare a new ORM-mapped `_schema.Column` construct  \nfor use within `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \nThe `_orm.mapped_column` function provides an ORM-aware and  \nPython-typing-compatible construct which is used with  \n`declarative <orm_declarative_mapping>` mappings to indicate an  \nattribute that's mapped to a Core `_schema.Column` object.  It  \nprovides the equivalent feature as mapping an attribute to a  \n`_schema.Column` object directly when using Declarative,  \nspecifically when using `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \n.. versionadded:: 2.0  \n  \n`_orm.mapped_column` is normally used with explicit typing along with  \nthe `_orm.Mapped` annotation type, where it can derive the SQL  \ntype and nullability for the column based on what's present within the  \n`_orm.Mapped` annotation.   It also may be used without annotations  \nas a drop-in replacement for how `_schema.Column` is used in  \nDeclarative mappings in SQLAlchemy 1.x style.  \n  \nFor usage examples of `_orm.mapped_column`, see the documentation  \nat `orm_declarative_table`.  \n  \n.. seealso:  \n  \n```  \n`orm_declarative_table` - complete documentation  \n  \n`whatsnew_20_orm_declarative_typing` - migration notes for  \nDeclarative mappings using 1.x style mappings  \n  \n```  \n:param __name: String name to give to the `_schema.Column`.  This  \n&nbsp;is an optional, positional only argument that if present must be the  \n&nbsp;first positional argument passed.  If omitted, the attribute name to  \n&nbsp;which the `_orm.mapped_column`  is mapped will be used as the SQL  \n&nbsp;column name.  \n:param __type: `_types.TypeEngine` type or instance which will  \n&nbsp;indicate the datatype to be associated with the `_schema.Column`.  \n&nbsp;This is an optional, positional-only argument that if present must  \n&nbsp;immediately follow the ``__name`` parameter if present also, or otherwise  \n&nbsp;be the first positional parameter.  If omitted, the ultimate type for  \n&nbsp;the column may be derived either from the annotated type, or if a  \n&nbsp;`_schema.ForeignKey` is present, from the datatype of the  \n&nbsp;referenced column.  \n:param \\*args: Additional positional arguments include constructs such  \n&nbsp;as `_schema.ForeignKey`, `_schema.CheckConstraint`,  \n&nbsp;and `_schema.Identity`, which are passed through to the constructed  \n&nbsp;`_schema.Column`.  \n:param nullable: Optional bool, whether the column should be \"NULL\" or  \n&nbsp;\"NOT NULL\". If omitted, the nullability is derived from the type  \n&nbsp;annotation based on whether or not ``typing.Optional`` (or its equivalent)  \n&nbsp;is present.  ``nullable`` defaults to ``True`` otherwise for non-primary  \n&nbsp;key columns, and ``False`` for primary key columns.  \n:param primary_key: optional bool, indicates the `_schema.Column`  \n&nbsp;would be part of the table's primary key or not.  \n:param deferred: Optional bool - this keyword argument is consumed by the  \n&nbsp;ORM declarative process, and is not part of the `_schema.Column`  \n&nbsp;itself; instead, it indicates that this column should be \"deferred\" for  \n&nbsp;loading as though mapped by `_orm.deferred`.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_declarative`  \n  \n```  \n:param deferred_group: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.group` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_group`  \n  \n```  \n:param deferred_raiseload: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.raiseload` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_raiseload`  \n  \n```  \n:param use_existing_column: if True, will attempt to locate the given  \n&nbsp;column name on an inherited superclass (typically single inheriting  \n&nbsp;superclass), and if present, will not produce a new column, mapping  \n&nbsp;to the superclass column as though it were omitted from this class.  \n&nbsp;This is used for mixins that add new columns to an inherited superclass.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_inheritance_column_conflicts`  \n  \n```  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter if the  \n&nbsp;`_orm.mapped_column.insert_default` parameter is not present.  \n&nbsp;Additionally, when used with `orm_declarative_native_dataclasses`,  \n&nbsp;indicates a default Python value that should be applied to the keyword  \n&nbsp;constructor within the generated ``__init__()`` method.  \n  \n&nbsp;Note that in the case of dataclass generation when  \n&nbsp;`_orm.mapped_column.insert_default` is not present, this means  \n&nbsp;the `_orm.mapped_column.default` value is used in **two**  \n&nbsp;places, both the ``__init__()`` method as well as the  \n&nbsp;`_schema.Column.default` parameter. While this behavior may  \n&nbsp;change in a future release, for the moment this tends to \"work out\"; a  \n&nbsp;default of ``None`` will mean that the `_schema.Column` gets no  \n&nbsp;default generator, whereas a default that refers to a non-``None`` Python  \n&nbsp;or SQL expression value will be assigned up front on the object when  \n&nbsp;``__init__()`` is called, which is the same value that the Core  \n&nbsp;`_sql.Insert` construct would use in any case, leading to the same  \n&nbsp;end result.  \n  \n&nbsp;.. note:: When using Core level column defaults that are callables to  \n&nbsp;&nbsp;&nbsp;&nbsp;be interpreted by the underlying `_schema.Column` in conjunction  \n&nbsp;&nbsp;&nbsp;&nbsp;with `ORM-mapped dataclasses  \n&nbsp;&nbsp;&nbsp;&nbsp;<orm_declarative_native_dataclasses>`, especially those that are  \n&nbsp;&nbsp;&nbsp;&nbsp;`context-aware default functions <context_default_functions>`,  \n&nbsp;&nbsp;&nbsp;&nbsp;**the** `_orm.mapped_column.insert_default` **parameter must  \n&nbsp;&nbsp;&nbsp;&nbsp;be used instead**.  This is necessary to disambiguate the callable from  \n&nbsp;&nbsp;&nbsp;&nbsp;being interpreted as a dataclass level default.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param insert_default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter; will supersede the value  \n&nbsp;of `_orm.mapped_column.default` when present, however  \n&nbsp;`_orm.mapped_column.default` will always apply to the  \n&nbsp;constructor default for a dataclasses mapping.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param sort_order: An integer that indicates how this mapped column  \n&nbsp;should be sorted compared to the others when the ORM is creating a  \n&nbsp;`_schema.Table`. Among mapped columns that have the same  \n&nbsp;value the default ordering is used, placing first the mapped columns  \n&nbsp;defined in the main class, then the ones in the super classes.  \n&nbsp;Defaults to 0. The sort is ascending.  \n  \n&nbsp;.. versionadded:: 2.0.4  \n  \n:param active_history=False:  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;When ``True``, indicates that the \"previous\" value for a  \n&nbsp;&nbsp;&nbsp;&nbsp;scalar attribute should be loaded when replaced, if not  \n&nbsp;&nbsp;&nbsp;&nbsp;already loaded. Normally, history tracking logic for  \n&nbsp;&nbsp;&nbsp;&nbsp;simple non-primary-key scalar values only needs to be  \n&nbsp;&nbsp;&nbsp;&nbsp;aware of the \"new\" value in order to perform a flush. This  \n&nbsp;&nbsp;&nbsp;&nbsp;flag is available for applications that make use of  \n&nbsp;&nbsp;&nbsp;&nbsp;`.attributes.get_history` or `.Session.is_modified`  \n&nbsp;&nbsp;&nbsp;&nbsp;which also need to know the \"previous\" value of the attribute.  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;.. versionadded:: 2.0.10  \n  \n  \n:param init: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n:param repr: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__repr__()``  \n&nbsp;method as generated by the dataclass process.  \n:param default_factory: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`,  \n&nbsp;specifies a default-value generation function that will take place  \n&nbsp;as part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n```  \n:param compare: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be included in comparison operations when generating the  \n&nbsp;``__eq__()`` and ``__ne__()`` methods for the mapped class.  \n  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param kw_only: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be marked as keyword-only when generating the ``__init__()``.  \n  \n:param hash: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, controls if this field  \n&nbsp;is included when generating the ``__hash__()`` method for the mapped  \n&nbsp;class.  \n  \n&nbsp;.. versionadded:: 2.0.36  \n  \n:param dataclass_metadata: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, supplies metadata  \n&nbsp;to be attached to the generated dataclass field.  \n  \n&nbsp;.. versionadded:: 2.0.42  \n  \n:param \\**kw: All remaining keyword arguments are passed through to the  \n&nbsp;constructor for the `_schema.Column`.\n\nGo to [SchemaEventTarget](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L1403,7) | [TypeEngine](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/type_api.py#L118,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [_NoArg](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L106,7) | [bool](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3200,7) | [SchemaConst](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L131,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ColumnElement](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L1223,7) | [FetchedValue](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L3989,7) | [TextClause](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L2235,7) | [int](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L418,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [MappedColumn](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/properties.py#L511,7)"}}}
-{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 3, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(function) mapped_column: def mapped_column[_T](\n    __name_pos         : SchemaEventTarget | TypeEngine[Any] | str | type[TypeEngine[Any]] | None = None,\n    __type_pos         : SchemaEventTarget | TypeEngine[Any] | type[TypeEngine[Any]] | None       = None,\n    *args              : SchemaEventTarget,\n    *,\n    init               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    repr               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    default            : Any | None                                                               = _NoArg.NO_ARG,\n    default_factory    : (() -> _T) | _NoArg                                                      = _NoArg.NO_ARG,\n    compare            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    kw_only            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    hash               : _NoArg | bool | None                                                     = _NoArg.NO_ARG,\n    nullable           : Literal[SchemaConst.NULL_UNSPECIFIED] | bool | None                      = SchemaConst.NULL_UNSPECIFIED,\n    primary_key        : bool | None                                                              = False,\n    deferred           : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    deferred_group     : str | None                                                               = None,\n    deferred_raiseload : bool | None                                                              = None,\n    use_existing_column: bool                                                                     = False,\n    name               : str | None                                                               = None,\n    type_              : TypeEngine[Any] | type[TypeEngine[Any]] | None                           = None,\n    autoincrement      : _AutoIncrementType                                                       = 'auto',\n    doc                : str | None                                                               = None,\n    key                : str | None                                                               = None,\n    index              : bool | None                                                              = None,\n    unique             : bool | None                                                              = None,\n    info               : dict[Any, Any] | None                                                    = None,\n    onupdate           : Any | None                                                               = None,\n    insert_default     : Any | None                                                               = _NoArg.NO_ARG,\n    server_default     : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    server_onupdate    : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    active_history     : bool                                                                     = False,\n    quote              : bool | None                                                              = None,\n    system             : bool                                                                     = False,\n    comment            : str | None                                                               = None,\n    sort_order         : _NoArg | int                                                             = _NoArg.NO_ARG,\n    dataclass_metadata : Mapping[Any, Any] | _NoArg | None                                        = _NoArg.NO_ARG,\n    **kw               : Any\n) -> MappedColumn[Any]: ...\n```\n---\ndeclare a new ORM-mapped `_schema.Column` construct  \nfor use within `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \nThe `_orm.mapped_column` function provides an ORM-aware and  \nPython-typing-compatible construct which is used with  \n`declarative <orm_declarative_mapping>` mappings to indicate an  \nattribute that's mapped to a Core `_schema.Column` object.  It  \nprovides the equivalent feature as mapping an attribute to a  \n`_schema.Column` object directly when using Declarative,  \nspecifically when using `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \n.. versionadded:: 2.0  \n  \n`_orm.mapped_column` is normally used with explicit typing along with  \nthe `_orm.Mapped` annotation type, where it can derive the SQL  \ntype and nullability for the column based on what's present within the  \n`_orm.Mapped` annotation.   It also may be used without annotations  \nas a drop-in replacement for how `_schema.Column` is used in  \nDeclarative mappings in SQLAlchemy 1.x style.  \n  \nFor usage examples of `_orm.mapped_column`, see the documentation  \nat `orm_declarative_table`.  \n  \n.. seealso:  \n  \n```  \n`orm_declarative_table` - complete documentation  \n  \n`whatsnew_20_orm_declarative_typing` - migration notes for  \nDeclarative mappings using 1.x style mappings  \n  \n```  \n:param __name: String name to give to the `_schema.Column`.  This  \n&nbsp;is an optional, positional only argument that if present must be the  \n&nbsp;first positional argument passed.  If omitted, the attribute name to  \n&nbsp;which the `_orm.mapped_column`  is mapped will be used as the SQL  \n&nbsp;column name.  \n:param __type: `_types.TypeEngine` type or instance which will  \n&nbsp;indicate the datatype to be associated with the `_schema.Column`.  \n&nbsp;This is an optional, positional-only argument that if present must  \n&nbsp;immediately follow the ``__name`` parameter if present also, or otherwise  \n&nbsp;be the first positional parameter.  If omitted, the ultimate type for  \n&nbsp;the column may be derived either from the annotated type, or if a  \n&nbsp;`_schema.ForeignKey` is present, from the datatype of the  \n&nbsp;referenced column.  \n:param \\*args: Additional positional arguments include constructs such  \n&nbsp;as `_schema.ForeignKey`, `_schema.CheckConstraint`,  \n&nbsp;and `_schema.Identity`, which are passed through to the constructed  \n&nbsp;`_schema.Column`.  \n:param nullable: Optional bool, whether the column should be \"NULL\" or  \n&nbsp;\"NOT NULL\". If omitted, the nullability is derived from the type  \n&nbsp;annotation based on whether or not ``typing.Optional`` (or its equivalent)  \n&nbsp;is present.  ``nullable`` defaults to ``True`` otherwise for non-primary  \n&nbsp;key columns, and ``False`` for primary key columns.  \n:param primary_key: optional bool, indicates the `_schema.Column`  \n&nbsp;would be part of the table's primary key or not.  \n:param deferred: Optional bool - this keyword argument is consumed by the  \n&nbsp;ORM declarative process, and is not part of the `_schema.Column`  \n&nbsp;itself; instead, it indicates that this column should be \"deferred\" for  \n&nbsp;loading as though mapped by `_orm.deferred`.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_declarative`  \n  \n```  \n:param deferred_group: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.group` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_group`  \n  \n```  \n:param deferred_raiseload: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.raiseload` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_raiseload`  \n  \n```  \n:param use_existing_column: if True, will attempt to locate the given  \n&nbsp;column name on an inherited superclass (typically single inheriting  \n&nbsp;superclass), and if present, will not produce a new column, mapping  \n&nbsp;to the superclass column as though it were omitted from this class.  \n&nbsp;This is used for mixins that add new columns to an inherited superclass.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_inheritance_column_conflicts`  \n  \n```  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter if the  \n&nbsp;`_orm.mapped_column.insert_default` parameter is not present.  \n&nbsp;Additionally, when used with `orm_declarative_native_dataclasses`,  \n&nbsp;indicates a default Python value that should be applied to the keyword  \n&nbsp;constructor within the generated ``__init__()`` method.  \n  \n&nbsp;Note that in the case of dataclass generation when  \n&nbsp;`_orm.mapped_column.insert_default` is not present, this means  \n&nbsp;the `_orm.mapped_column.default` value is used in **two**  \n&nbsp;places, both the ``__init__()`` method as well as the  \n&nbsp;`_schema.Column.default` parameter. While this behavior may  \n&nbsp;change in a future release, for the moment this tends to \"work out\"; a  \n&nbsp;default of ``None`` will mean that the `_schema.Column` gets no  \n&nbsp;default generator, whereas a default that refers to a non-``None`` Python  \n&nbsp;or SQL expression value will be assigned up front on the object when  \n&nbsp;``__init__()`` is called, which is the same value that the Core  \n&nbsp;`_sql.Insert` construct would use in any case, leading to the same  \n&nbsp;end result.  \n  \n&nbsp;.. note:: When using Core level column defaults that are callables to  \n&nbsp;&nbsp;&nbsp;&nbsp;be interpreted by the underlying `_schema.Column` in conjunction  \n&nbsp;&nbsp;&nbsp;&nbsp;with `ORM-mapped dataclasses  \n&nbsp;&nbsp;&nbsp;&nbsp;<orm_declarative_native_dataclasses>`, especially those that are  \n&nbsp;&nbsp;&nbsp;&nbsp;`context-aware default functions <context_default_functions>`,  \n&nbsp;&nbsp;&nbsp;&nbsp;**the** `_orm.mapped_column.insert_default` **parameter must  \n&nbsp;&nbsp;&nbsp;&nbsp;be used instead**.  This is necessary to disambiguate the callable from  \n&nbsp;&nbsp;&nbsp;&nbsp;being interpreted as a dataclass level default.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param insert_default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter; will supersede the value  \n&nbsp;of `_orm.mapped_column.default` when present, however  \n&nbsp;`_orm.mapped_column.default` will always apply to the  \n&nbsp;constructor default for a dataclasses mapping.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param sort_order: An integer that indicates how this mapped column  \n&nbsp;should be sorted compared to the others when the ORM is creating a  \n&nbsp;`_schema.Table`. Among mapped columns that have the same  \n&nbsp;value the default ordering is used, placing first the mapped columns  \n&nbsp;defined in the main class, then the ones in the super classes.  \n&nbsp;Defaults to 0. The sort is ascending.  \n  \n&nbsp;.. versionadded:: 2.0.4  \n  \n:param active_history=False:  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;When ``True``, indicates that the \"previous\" value for a  \n&nbsp;&nbsp;&nbsp;&nbsp;scalar attribute should be loaded when replaced, if not  \n&nbsp;&nbsp;&nbsp;&nbsp;already loaded. Normally, history tracking logic for  \n&nbsp;&nbsp;&nbsp;&nbsp;simple non-primary-key scalar values only needs to be  \n&nbsp;&nbsp;&nbsp;&nbsp;aware of the \"new\" value in order to perform a flush. This  \n&nbsp;&nbsp;&nbsp;&nbsp;flag is available for applications that make use of  \n&nbsp;&nbsp;&nbsp;&nbsp;`.attributes.get_history` or `.Session.is_modified`  \n&nbsp;&nbsp;&nbsp;&nbsp;which also need to know the \"previous\" value of the attribute.  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;.. versionadded:: 2.0.10  \n  \n  \n:param init: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n:param repr: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__repr__()``  \n&nbsp;method as generated by the dataclass process.  \n:param default_factory: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`,  \n&nbsp;specifies a default-value generation function that will take place  \n&nbsp;as part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n```  \n:param compare: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be included in comparison operations when generating the  \n&nbsp;``__eq__()`` and ``__ne__()`` methods for the mapped class.  \n  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param kw_only: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be marked as keyword-only when generating the ``__init__()``.  \n  \n:param hash: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, controls if this field  \n&nbsp;is included when generating the ``__hash__()`` method for the mapped  \n&nbsp;class.  \n  \n&nbsp;.. versionadded:: 2.0.36  \n  \n:param dataclass_metadata: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, supplies metadata  \n&nbsp;to be attached to the generated dataclass field.  \n  \n&nbsp;.. versionadded:: 2.0.42  \n  \n:param \\**kw: All remaining keyword arguments are passed through to the  \n&nbsp;constructor for the `_schema.Column`.\n\nGo to [SchemaEventTarget](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L1403,7) | [TypeEngine](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/type_api.py#L118,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [_NoArg](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L106,7) | [bool](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3200,7) | [SchemaConst](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L131,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ColumnElement](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L1223,7) | [FetchedValue](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L3989,7) | [TextClause](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L2235,7) | [int](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L418,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [MappedColumn](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/properties.py#L511,7)"}}}
-{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 4, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(function) mapped_column: def mapped_column[_T](\n    __name_pos         : SchemaEventTarget | TypeEngine[Any] | str | type[TypeEngine[Any]] | None = None,\n    __type_pos         : SchemaEventTarget | TypeEngine[Any] | type[TypeEngine[Any]] | None       = None,\n    *args              : SchemaEventTarget,\n    *,\n    init               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    repr               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    default            : Any | None                                                               = _NoArg.NO_ARG,\n    default_factory    : (() -> _T) | _NoArg                                                      = _NoArg.NO_ARG,\n    compare            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    kw_only            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    hash               : _NoArg | bool | None                                                     = _NoArg.NO_ARG,\n    nullable           : Literal[SchemaConst.NULL_UNSPECIFIED] | bool | None                      = SchemaConst.NULL_UNSPECIFIED,\n    primary_key        : bool | None                                                              = False,\n    deferred           : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    deferred_group     : str | None                                                               = None,\n    deferred_raiseload : bool | None                                                              = None,\n    use_existing_column: bool                                                                     = False,\n    name               : str | None                                                               = None,\n    type_              : TypeEngine[Any] | type[TypeEngine[Any]] | None                           = None,\n    autoincrement      : _AutoIncrementType                                                       = 'auto',\n    doc                : str | None                                                               = None,\n    key                : str | None                                                               = None,\n    index              : bool | None                                                              = None,\n    unique             : bool | None                                                              = None,\n    info               : dict[Any, Any] | None                                                    = None,\n    onupdate           : Any | None                                                               = None,\n    insert_default     : Any | None                                                               = _NoArg.NO_ARG,\n    server_default     : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    server_onupdate    : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    active_history     : bool                                                                     = False,\n    quote              : bool | None                                                              = None,\n    system             : bool                                                                     = False,\n    comment            : str | None                                                               = None,\n    sort_order         : _NoArg | int                                                             = _NoArg.NO_ARG,\n    dataclass_metadata : Mapping[Any, Any] | _NoArg | None                                        = _NoArg.NO_ARG,\n    **kw               : Any\n) -> MappedColumn[Any]: ...\n```\n---\ndeclare a new ORM-mapped `_schema.Column` construct  \nfor use within `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \nThe `_orm.mapped_column` function provides an ORM-aware and  \nPython-typing-compatible construct which is used with  \n`declarative <orm_declarative_mapping>` mappings to indicate an  \nattribute that's mapped to a Core `_schema.Column` object.  It  \nprovides the equivalent feature as mapping an attribute to a  \n`_schema.Column` object directly when using Declarative,  \nspecifically when using `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \n.. versionadded:: 2.0  \n  \n`_orm.mapped_column` is normally used with explicit typing along with  \nthe `_orm.Mapped` annotation type, where it can derive the SQL  \ntype and nullability for the column based on what's present within the  \n`_orm.Mapped` annotation.   It also may be used without annotations  \nas a drop-in replacement for how `_schema.Column` is used in  \nDeclarative mappings in SQLAlchemy 1.x style.  \n  \nFor usage examples of `_orm.mapped_column`, see the documentation  \nat `orm_declarative_table`.  \n  \n.. seealso:  \n  \n```  \n`orm_declarative_table` - complete documentation  \n  \n`whatsnew_20_orm_declarative_typing` - migration notes for  \nDeclarative mappings using 1.x style mappings  \n  \n```  \n:param __name: String name to give to the `_schema.Column`.  This  \n&nbsp;is an optional, positional only argument that if present must be the  \n&nbsp;first positional argument passed.  If omitted, the attribute name to  \n&nbsp;which the `_orm.mapped_column`  is mapped will be used as the SQL  \n&nbsp;column name.  \n:param __type: `_types.TypeEngine` type or instance which will  \n&nbsp;indicate the datatype to be associated with the `_schema.Column`.  \n&nbsp;This is an optional, positional-only argument that if present must  \n&nbsp;immediately follow the ``__name`` parameter if present also, or otherwise  \n&nbsp;be the first positional parameter.  If omitted, the ultimate type for  \n&nbsp;the column may be derived either from the annotated type, or if a  \n&nbsp;`_schema.ForeignKey` is present, from the datatype of the  \n&nbsp;referenced column.  \n:param \\*args: Additional positional arguments include constructs such  \n&nbsp;as `_schema.ForeignKey`, `_schema.CheckConstraint`,  \n&nbsp;and `_schema.Identity`, which are passed through to the constructed  \n&nbsp;`_schema.Column`.  \n:param nullable: Optional bool, whether the column should be \"NULL\" or  \n&nbsp;\"NOT NULL\". If omitted, the nullability is derived from the type  \n&nbsp;annotation based on whether or not ``typing.Optional`` (or its equivalent)  \n&nbsp;is present.  ``nullable`` defaults to ``True`` otherwise for non-primary  \n&nbsp;key columns, and ``False`` for primary key columns.  \n:param primary_key: optional bool, indicates the `_schema.Column`  \n&nbsp;would be part of the table's primary key or not.  \n:param deferred: Optional bool - this keyword argument is consumed by the  \n&nbsp;ORM declarative process, and is not part of the `_schema.Column`  \n&nbsp;itself; instead, it indicates that this column should be \"deferred\" for  \n&nbsp;loading as though mapped by `_orm.deferred`.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_declarative`  \n  \n```  \n:param deferred_group: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.group` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_group`  \n  \n```  \n:param deferred_raiseload: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.raiseload` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_raiseload`  \n  \n```  \n:param use_existing_column: if True, will attempt to locate the given  \n&nbsp;column name on an inherited superclass (typically single inheriting  \n&nbsp;superclass), and if present, will not produce a new column, mapping  \n&nbsp;to the superclass column as though it were omitted from this class.  \n&nbsp;This is used for mixins that add new columns to an inherited superclass.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_inheritance_column_conflicts`  \n  \n```  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter if the  \n&nbsp;`_orm.mapped_column.insert_default` parameter is not present.  \n&nbsp;Additionally, when used with `orm_declarative_native_dataclasses`,  \n&nbsp;indicates a default Python value that should be applied to the keyword  \n&nbsp;constructor within the generated ``__init__()`` method.  \n  \n&nbsp;Note that in the case of dataclass generation when  \n&nbsp;`_orm.mapped_column.insert_default` is not present, this means  \n&nbsp;the `_orm.mapped_column.default` value is used in **two**  \n&nbsp;places, both the ``__init__()`` method as well as the  \n&nbsp;`_schema.Column.default` parameter. While this behavior may  \n&nbsp;change in a future release, for the moment this tends to \"work out\"; a  \n&nbsp;default of ``None`` will mean that the `_schema.Column` gets no  \n&nbsp;default generator, whereas a default that refers to a non-``None`` Python  \n&nbsp;or SQL expression value will be assigned up front on the object when  \n&nbsp;``__init__()`` is called, which is the same value that the Core  \n&nbsp;`_sql.Insert` construct would use in any case, leading to the same  \n&nbsp;end result.  \n  \n&nbsp;.. note:: When using Core level column defaults that are callables to  \n&nbsp;&nbsp;&nbsp;&nbsp;be interpreted by the underlying `_schema.Column` in conjunction  \n&nbsp;&nbsp;&nbsp;&nbsp;with `ORM-mapped dataclasses  \n&nbsp;&nbsp;&nbsp;&nbsp;<orm_declarative_native_dataclasses>`, especially those that are  \n&nbsp;&nbsp;&nbsp;&nbsp;`context-aware default functions <context_default_functions>`,  \n&nbsp;&nbsp;&nbsp;&nbsp;**the** `_orm.mapped_column.insert_default` **parameter must  \n&nbsp;&nbsp;&nbsp;&nbsp;be used instead**.  This is necessary to disambiguate the callable from  \n&nbsp;&nbsp;&nbsp;&nbsp;being interpreted as a dataclass level default.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param insert_default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter; will supersede the value  \n&nbsp;of `_orm.mapped_column.default` when present, however  \n&nbsp;`_orm.mapped_column.default` will always apply to the  \n&nbsp;constructor default for a dataclasses mapping.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param sort_order: An integer that indicates how this mapped column  \n&nbsp;should be sorted compared to the others when the ORM is creating a  \n&nbsp;`_schema.Table`. Among mapped columns that have the same  \n&nbsp;value the default ordering is used, placing first the mapped columns  \n&nbsp;defined in the main class, then the ones in the super classes.  \n&nbsp;Defaults to 0. The sort is ascending.  \n  \n&nbsp;.. versionadded:: 2.0.4  \n  \n:param active_history=False:  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;When ``True``, indicates that the \"previous\" value for a  \n&nbsp;&nbsp;&nbsp;&nbsp;scalar attribute should be loaded when replaced, if not  \n&nbsp;&nbsp;&nbsp;&nbsp;already loaded. Normally, history tracking logic for  \n&nbsp;&nbsp;&nbsp;&nbsp;simple non-primary-key scalar values only needs to be  \n&nbsp;&nbsp;&nbsp;&nbsp;aware of the \"new\" value in order to perform a flush. This  \n&nbsp;&nbsp;&nbsp;&nbsp;flag is available for applications that make use of  \n&nbsp;&nbsp;&nbsp;&nbsp;`.attributes.get_history` or `.Session.is_modified`  \n&nbsp;&nbsp;&nbsp;&nbsp;which also need to know the \"previous\" value of the attribute.  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;.. versionadded:: 2.0.10  \n  \n  \n:param init: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n:param repr: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__repr__()``  \n&nbsp;method as generated by the dataclass process.  \n:param default_factory: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`,  \n&nbsp;specifies a default-value generation function that will take place  \n&nbsp;as part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n```  \n:param compare: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be included in comparison operations when generating the  \n&nbsp;``__eq__()`` and ``__ne__()`` methods for the mapped class.  \n  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param kw_only: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be marked as keyword-only when generating the ``__init__()``.  \n  \n:param hash: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, controls if this field  \n&nbsp;is included when generating the ``__hash__()`` method for the mapped  \n&nbsp;class.  \n  \n&nbsp;.. versionadded:: 2.0.36  \n  \n:param dataclass_metadata: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, supplies metadata  \n&nbsp;to be attached to the generated dataclass field.  \n  \n&nbsp;.. versionadded:: 2.0.42  \n  \n:param \\**kw: All remaining keyword arguments are passed through to the  \n&nbsp;constructor for the `_schema.Column`.\n\nGo to [SchemaEventTarget](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L1403,7) | [TypeEngine](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/type_api.py#L118,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [_NoArg](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L106,7) | [bool](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3200,7) | [SchemaConst](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L131,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ColumnElement](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L1223,7) | [FetchedValue](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L3989,7) | [TextClause](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L2235,7) | [int](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L418,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [MappedColumn](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/properties.py#L511,7)"}}}
-{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 5, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(function) mapped_column: def mapped_column[_T](\n    __name_pos         : SchemaEventTarget | TypeEngine[Any] | str | type[TypeEngine[Any]] | None = None,\n    __type_pos         : SchemaEventTarget | TypeEngine[Any] | type[TypeEngine[Any]] | None       = None,\n    *args              : SchemaEventTarget,\n    *,\n    init               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    repr               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    default            : Any | None                                                               = _NoArg.NO_ARG,\n    default_factory    : (() -> _T) | _NoArg                                                      = _NoArg.NO_ARG,\n    compare            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    kw_only            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    hash               : _NoArg | bool | None                                                     = _NoArg.NO_ARG,\n    nullable           : Literal[SchemaConst.NULL_UNSPECIFIED] | bool | None                      = SchemaConst.NULL_UNSPECIFIED,\n    primary_key        : bool | None                                                              = False,\n    deferred           : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    deferred_group     : str | None                                                               = None,\n    deferred_raiseload : bool | None                                                              = None,\n    use_existing_column: bool                                                                     = False,\n    name               : str | None                                                               = None,\n    type_              : TypeEngine[Any] | type[TypeEngine[Any]] | None                           = None,\n    autoincrement      : _AutoIncrementType                                                       = 'auto',\n    doc                : str | None                                                               = None,\n    key                : str | None                                                               = None,\n    index              : bool | None                                                              = None,\n    unique             : bool | None                                                              = None,\n    info               : dict[Any, Any] | None                                                    = None,\n    onupdate           : Any | None                                                               = None,\n    insert_default     : Any | None                                                               = _NoArg.NO_ARG,\n    server_default     : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    server_onupdate    : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    active_history     : bool                                                                     = False,\n    quote              : bool | None                                                              = None,\n    system             : bool                                                                     = False,\n    comment            : str | None                                                               = None,\n    sort_order         : _NoArg | int                                                             = _NoArg.NO_ARG,\n    dataclass_metadata : Mapping[Any, Any] | _NoArg | None                                        = _NoArg.NO_ARG,\n    **kw               : Any\n) -> MappedColumn[Any]: ...\n```\n---\ndeclare a new ORM-mapped `_schema.Column` construct  \nfor use within `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \nThe `_orm.mapped_column` function provides an ORM-aware and  \nPython-typing-compatible construct which is used with  \n`declarative <orm_declarative_mapping>` mappings to indicate an  \nattribute that's mapped to a Core `_schema.Column` object.  It  \nprovides the equivalent feature as mapping an attribute to a  \n`_schema.Column` object directly when using Declarative,  \nspecifically when using `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \n.. versionadded:: 2.0  \n  \n`_orm.mapped_column` is normally used with explicit typing along with  \nthe `_orm.Mapped` annotation type, where it can derive the SQL  \ntype and nullability for the column based on what's present within the  \n`_orm.Mapped` annotation.   It also may be used without annotations  \nas a drop-in replacement for how `_schema.Column` is used in  \nDeclarative mappings in SQLAlchemy 1.x style.  \n  \nFor usage examples of `_orm.mapped_column`, see the documentation  \nat `orm_declarative_table`.  \n  \n.. seealso:  \n  \n```  \n`orm_declarative_table` - complete documentation  \n  \n`whatsnew_20_orm_declarative_typing` - migration notes for  \nDeclarative mappings using 1.x style mappings  \n  \n```  \n:param __name: String name to give to the `_schema.Column`.  This  \n&nbsp;is an optional, positional only argument that if present must be the  \n&nbsp;first positional argument passed.  If omitted, the attribute name to  \n&nbsp;which the `_orm.mapped_column`  is mapped will be used as the SQL  \n&nbsp;column name.  \n:param __type: `_types.TypeEngine` type or instance which will  \n&nbsp;indicate the datatype to be associated with the `_schema.Column`.  \n&nbsp;This is an optional, positional-only argument that if present must  \n&nbsp;immediately follow the ``__name`` parameter if present also, or otherwise  \n&nbsp;be the first positional parameter.  If omitted, the ultimate type for  \n&nbsp;the column may be derived either from the annotated type, or if a  \n&nbsp;`_schema.ForeignKey` is present, from the datatype of the  \n&nbsp;referenced column.  \n:param \\*args: Additional positional arguments include constructs such  \n&nbsp;as `_schema.ForeignKey`, `_schema.CheckConstraint`,  \n&nbsp;and `_schema.Identity`, which are passed through to the constructed  \n&nbsp;`_schema.Column`.  \n:param nullable: Optional bool, whether the column should be \"NULL\" or  \n&nbsp;\"NOT NULL\". If omitted, the nullability is derived from the type  \n&nbsp;annotation based on whether or not ``typing.Optional`` (or its equivalent)  \n&nbsp;is present.  ``nullable`` defaults to ``True`` otherwise for non-primary  \n&nbsp;key columns, and ``False`` for primary key columns.  \n:param primary_key: optional bool, indicates the `_schema.Column`  \n&nbsp;would be part of the table's primary key or not.  \n:param deferred: Optional bool - this keyword argument is consumed by the  \n&nbsp;ORM declarative process, and is not part of the `_schema.Column`  \n&nbsp;itself; instead, it indicates that this column should be \"deferred\" for  \n&nbsp;loading as though mapped by `_orm.deferred`.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_declarative`  \n  \n```  \n:param deferred_group: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.group` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_group`  \n  \n```  \n:param deferred_raiseload: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.raiseload` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_raiseload`  \n  \n```  \n:param use_existing_column: if True, will attempt to locate the given  \n&nbsp;column name on an inherited superclass (typically single inheriting  \n&nbsp;superclass), and if present, will not produce a new column, mapping  \n&nbsp;to the superclass column as though it were omitted from this class.  \n&nbsp;This is used for mixins that add new columns to an inherited superclass.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_inheritance_column_conflicts`  \n  \n```  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter if the  \n&nbsp;`_orm.mapped_column.insert_default` parameter is not present.  \n&nbsp;Additionally, when used with `orm_declarative_native_dataclasses`,  \n&nbsp;indicates a default Python value that should be applied to the keyword  \n&nbsp;constructor within the generated ``__init__()`` method.  \n  \n&nbsp;Note that in the case of dataclass generation when  \n&nbsp;`_orm.mapped_column.insert_default` is not present, this means  \n&nbsp;the `_orm.mapped_column.default` value is used in **two**  \n&nbsp;places, both the ``__init__()`` method as well as the  \n&nbsp;`_schema.Column.default` parameter. While this behavior may  \n&nbsp;change in a future release, for the moment this tends to \"work out\"; a  \n&nbsp;default of ``None`` will mean that the `_schema.Column` gets no  \n&nbsp;default generator, whereas a default that refers to a non-``None`` Python  \n&nbsp;or SQL expression value will be assigned up front on the object when  \n&nbsp;``__init__()`` is called, which is the same value that the Core  \n&nbsp;`_sql.Insert` construct would use in any case, leading to the same  \n&nbsp;end result.  \n  \n&nbsp;.. note:: When using Core level column defaults that are callables to  \n&nbsp;&nbsp;&nbsp;&nbsp;be interpreted by the underlying `_schema.Column` in conjunction  \n&nbsp;&nbsp;&nbsp;&nbsp;with `ORM-mapped dataclasses  \n&nbsp;&nbsp;&nbsp;&nbsp;<orm_declarative_native_dataclasses>`, especially those that are  \n&nbsp;&nbsp;&nbsp;&nbsp;`context-aware default functions <context_default_functions>`,  \n&nbsp;&nbsp;&nbsp;&nbsp;**the** `_orm.mapped_column.insert_default` **parameter must  \n&nbsp;&nbsp;&nbsp;&nbsp;be used instead**.  This is necessary to disambiguate the callable from  \n&nbsp;&nbsp;&nbsp;&nbsp;being interpreted as a dataclass level default.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param insert_default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter; will supersede the value  \n&nbsp;of `_orm.mapped_column.default` when present, however  \n&nbsp;`_orm.mapped_column.default` will always apply to the  \n&nbsp;constructor default for a dataclasses mapping.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param sort_order: An integer that indicates how this mapped column  \n&nbsp;should be sorted compared to the others when the ORM is creating a  \n&nbsp;`_schema.Table`. Among mapped columns that have the same  \n&nbsp;value the default ordering is used, placing first the mapped columns  \n&nbsp;defined in the main class, then the ones in the super classes.  \n&nbsp;Defaults to 0. The sort is ascending.  \n  \n&nbsp;.. versionadded:: 2.0.4  \n  \n:param active_history=False:  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;When ``True``, indicates that the \"previous\" value for a  \n&nbsp;&nbsp;&nbsp;&nbsp;scalar attribute should be loaded when replaced, if not  \n&nbsp;&nbsp;&nbsp;&nbsp;already loaded. Normally, history tracking logic for  \n&nbsp;&nbsp;&nbsp;&nbsp;simple non-primary-key scalar values only needs to be  \n&nbsp;&nbsp;&nbsp;&nbsp;aware of the \"new\" value in order to perform a flush. This  \n&nbsp;&nbsp;&nbsp;&nbsp;flag is available for applications that make use of  \n&nbsp;&nbsp;&nbsp;&nbsp;`.attributes.get_history` or `.Session.is_modified`  \n&nbsp;&nbsp;&nbsp;&nbsp;which also need to know the \"previous\" value of the attribute.  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;.. versionadded:: 2.0.10  \n  \n  \n:param init: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n:param repr: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__repr__()``  \n&nbsp;method as generated by the dataclass process.  \n:param default_factory: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`,  \n&nbsp;specifies a default-value generation function that will take place  \n&nbsp;as part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n```  \n:param compare: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be included in comparison operations when generating the  \n&nbsp;``__eq__()`` and ``__ne__()`` methods for the mapped class.  \n  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param kw_only: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be marked as keyword-only when generating the ``__init__()``.  \n  \n:param hash: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, controls if this field  \n&nbsp;is included when generating the ``__hash__()`` method for the mapped  \n&nbsp;class.  \n  \n&nbsp;.. versionadded:: 2.0.36  \n  \n:param dataclass_metadata: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, supplies metadata  \n&nbsp;to be attached to the generated dataclass field.  \n  \n&nbsp;.. versionadded:: 2.0.42  \n  \n:param \\**kw: All remaining keyword arguments are passed through to the  \n&nbsp;constructor for the `_schema.Column`.\n\nGo to [SchemaEventTarget](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L1403,7) | [TypeEngine](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/type_api.py#L118,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [_NoArg](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L106,7) | [bool](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3200,7) | [SchemaConst](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L131,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ColumnElement](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L1223,7) | [FetchedValue](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L3989,7) | [TextClause](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L2235,7) | [int](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L418,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [MappedColumn](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/properties.py#L511,7)"}}}
-{"suite": "sqlalchemy", "label": "mapped class definition", "method": "textDocument/definition", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 16, "iteration": 1, "result": {"range": {"end": {"character": 16, "line": 5126}, "start": {"character": 8, "line": 5126}}, "uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py"}}
-{"suite": "sqlalchemy", "label": "mapped class definition", "method": "textDocument/definition", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 16, "iteration": 2, "result": {"range": {"end": {"character": 16, "line": 5126}, "start": {"character": 8, "line": 5126}}, "uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py"}}
-{"suite": "sqlalchemy", "label": "mapped class definition", "method": "textDocument/definition", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 16, "iteration": 3, "result": {"range": {"end": {"character": 16, "line": 5126}, "start": {"character": 8, "line": 5126}}, "uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py"}}
-{"suite": "sqlalchemy", "label": "mapped class definition", "method": "textDocument/definition", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 16, "iteration": 4, "result": {"range": {"end": {"character": 16, "line": 5126}, "start": {"character": 8, "line": 5126}}, "uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py"}}
-{"suite": "sqlalchemy", "label": "mapped class definition", "method": "textDocument/definition", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 16, "iteration": 5, "result": {"range": {"end": {"character": 16, "line": 5126}, "start": {"character": 8, "line": 5126}}, "uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py"}}
+{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 1, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(function) mapped_column: def mapped_column[_T](\n    __name_pos         : SchemaEventTarget | TypeEngine[Any] | str | type[TypeEngine[Any]] | None = None,\n    __type_pos         : SchemaEventTarget | TypeEngine[Any] | type[TypeEngine[Any]] | None       = None,\n    /,\n    *args              : SchemaEventTarget,\n    *,\n    init               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    repr               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    default            : Any | None                                                               = _NoArg.NO_ARG,\n    default_factory    : (() -> _T) | _NoArg                                                      = _NoArg.NO_ARG,\n    compare            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    kw_only            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    hash               : _NoArg | bool | None                                                     = _NoArg.NO_ARG,\n    nullable           : Literal[SchemaConst.NULL_UNSPECIFIED] | bool | None                      = SchemaConst.NULL_UNSPECIFIED,\n    primary_key        : bool | None                                                              = False,\n    deferred           : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    deferred_group     : str | None                                                               = None,\n    deferred_raiseload : bool | None                                                              = None,\n    use_existing_column: bool                                                                     = False,\n    name               : str | None                                                               = None,\n    type_              : TypeEngine[Any] | type[TypeEngine[Any]] | None                           = None,\n    autoincrement      : _AutoIncrementType                                                       = 'auto',\n    doc                : str | None                                                               = None,\n    key                : str | None                                                               = None,\n    index              : bool | None                                                              = None,\n    unique             : bool | None                                                              = None,\n    info               : dict[Any, Any] | None                                                    = None,\n    onupdate           : Any | None                                                               = None,\n    insert_default     : Any | None                                                               = _NoArg.NO_ARG,\n    server_default     : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    server_onupdate    : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    active_history     : bool                                                                     = False,\n    quote              : bool | None                                                              = None,\n    system             : bool                                                                     = False,\n    comment            : str | None                                                               = None,\n    sort_order         : _NoArg | int                                                             = _NoArg.NO_ARG,\n    dataclass_metadata : Mapping[Any, Any] | _NoArg | None                                        = _NoArg.NO_ARG,\n    **kw               : Any\n) -> MappedColumn[Any]: ...\n```\n---\ndeclare a new ORM-mapped `_schema.Column` construct  \nfor use within `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \nThe `_orm.mapped_column` function provides an ORM-aware and  \nPython-typing-compatible construct which is used with  \n`declarative <orm_declarative_mapping>` mappings to indicate an  \nattribute that's mapped to a Core `_schema.Column` object.  It  \nprovides the equivalent feature as mapping an attribute to a  \n`_schema.Column` object directly when using Declarative,  \nspecifically when using `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \n.. versionadded:: 2.0  \n  \n`_orm.mapped_column` is normally used with explicit typing along with  \nthe `_orm.Mapped` annotation type, where it can derive the SQL  \ntype and nullability for the column based on what's present within the  \n`_orm.Mapped` annotation.   It also may be used without annotations  \nas a drop-in replacement for how `_schema.Column` is used in  \nDeclarative mappings in SQLAlchemy 1.x style.  \n  \nFor usage examples of `_orm.mapped_column`, see the documentation  \nat `orm_declarative_table`.  \n  \n.. seealso:  \n  \n```  \n`orm_declarative_table` - complete documentation  \n  \n`whatsnew_20_orm_declarative_typing` - migration notes for  \nDeclarative mappings using 1.x style mappings  \n  \n```  \n:param __name: String name to give to the `_schema.Column`.  This  \n&nbsp;is an optional, positional only argument that if present must be the  \n&nbsp;first positional argument passed.  If omitted, the attribute name to  \n&nbsp;which the `_orm.mapped_column`  is mapped will be used as the SQL  \n&nbsp;column name.  \n:param __type: `_types.TypeEngine` type or instance which will  \n&nbsp;indicate the datatype to be associated with the `_schema.Column`.  \n&nbsp;This is an optional, positional-only argument that if present must  \n&nbsp;immediately follow the ``__name`` parameter if present also, or otherwise  \n&nbsp;be the first positional parameter.  If omitted, the ultimate type for  \n&nbsp;the column may be derived either from the annotated type, or if a  \n&nbsp;`_schema.ForeignKey` is present, from the datatype of the  \n&nbsp;referenced column.  \n:param \\*args: Additional positional arguments include constructs such  \n&nbsp;as `_schema.ForeignKey`, `_schema.CheckConstraint`,  \n&nbsp;and `_schema.Identity`, which are passed through to the constructed  \n&nbsp;`_schema.Column`.  \n:param nullable: Optional bool, whether the column should be \"NULL\" or  \n&nbsp;\"NOT NULL\". If omitted, the nullability is derived from the type  \n&nbsp;annotation based on whether or not ``typing.Optional`` (or its equivalent)  \n&nbsp;is present.  ``nullable`` defaults to ``True`` otherwise for non-primary  \n&nbsp;key columns, and ``False`` for primary key columns.  \n:param primary_key: optional bool, indicates the `_schema.Column`  \n&nbsp;would be part of the table's primary key or not.  \n:param deferred: Optional bool - this keyword argument is consumed by the  \n&nbsp;ORM declarative process, and is not part of the `_schema.Column`  \n&nbsp;itself; instead, it indicates that this column should be \"deferred\" for  \n&nbsp;loading as though mapped by `_orm.deferred`.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_declarative`  \n  \n```  \n:param deferred_group: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.group` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_group`  \n  \n```  \n:param deferred_raiseload: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.raiseload` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_raiseload`  \n  \n```  \n:param use_existing_column: if True, will attempt to locate the given  \n&nbsp;column name on an inherited superclass (typically single inheriting  \n&nbsp;superclass), and if present, will not produce a new column, mapping  \n&nbsp;to the superclass column as though it were omitted from this class.  \n&nbsp;This is used for mixins that add new columns to an inherited superclass.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_inheritance_column_conflicts`  \n  \n```  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter if the  \n&nbsp;`_orm.mapped_column.insert_default` parameter is not present.  \n&nbsp;Additionally, when used with `orm_declarative_native_dataclasses`,  \n&nbsp;indicates a default Python value that should be applied to the keyword  \n&nbsp;constructor within the generated ``__init__()`` method.  \n  \n&nbsp;Note that in the case of dataclass generation when  \n&nbsp;`_orm.mapped_column.insert_default` is not present, this means  \n&nbsp;the `_orm.mapped_column.default` value is used in **two**  \n&nbsp;places, both the ``__init__()`` method as well as the  \n&nbsp;`_schema.Column.default` parameter. While this behavior may  \n&nbsp;change in a future release, for the moment this tends to \"work out\"; a  \n&nbsp;default of ``None`` will mean that the `_schema.Column` gets no  \n&nbsp;default generator, whereas a default that refers to a non-``None`` Python  \n&nbsp;or SQL expression value will be assigned up front on the object when  \n&nbsp;``__init__()`` is called, which is the same value that the Core  \n&nbsp;`_sql.Insert` construct would use in any case, leading to the same  \n&nbsp;end result.  \n  \n&nbsp;.. note:: When using Core level column defaults that are callables to  \n&nbsp;&nbsp;&nbsp;&nbsp;be interpreted by the underlying `_schema.Column` in conjunction  \n&nbsp;&nbsp;&nbsp;&nbsp;with `ORM-mapped dataclasses  \n&nbsp;&nbsp;&nbsp;&nbsp;<orm_declarative_native_dataclasses>`, especially those that are  \n&nbsp;&nbsp;&nbsp;&nbsp;`context-aware default functions <context_default_functions>`,  \n&nbsp;&nbsp;&nbsp;&nbsp;**the** `_orm.mapped_column.insert_default` **parameter must  \n&nbsp;&nbsp;&nbsp;&nbsp;be used instead**.  This is necessary to disambiguate the callable from  \n&nbsp;&nbsp;&nbsp;&nbsp;being interpreted as a dataclass level default.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param insert_default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter; will supersede the value  \n&nbsp;of `_orm.mapped_column.default` when present, however  \n&nbsp;`_orm.mapped_column.default` will always apply to the  \n&nbsp;constructor default for a dataclasses mapping.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param sort_order: An integer that indicates how this mapped column  \n&nbsp;should be sorted compared to the others when the ORM is creating a  \n&nbsp;`_schema.Table`. Among mapped columns that have the same  \n&nbsp;value the default ordering is used, placing first the mapped columns  \n&nbsp;defined in the main class, then the ones in the super classes.  \n&nbsp;Defaults to 0. The sort is ascending.  \n  \n&nbsp;.. versionadded:: 2.0.4  \n  \n:param active_history=False:  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;When ``True``, indicates that the \"previous\" value for a  \n&nbsp;&nbsp;&nbsp;&nbsp;scalar attribute should be loaded when replaced, if not  \n&nbsp;&nbsp;&nbsp;&nbsp;already loaded. Normally, history tracking logic for  \n&nbsp;&nbsp;&nbsp;&nbsp;simple non-primary-key scalar values only needs to be  \n&nbsp;&nbsp;&nbsp;&nbsp;aware of the \"new\" value in order to perform a flush. This  \n&nbsp;&nbsp;&nbsp;&nbsp;flag is available for applications that make use of  \n&nbsp;&nbsp;&nbsp;&nbsp;`.attributes.get_history` or `.Session.is_modified`  \n&nbsp;&nbsp;&nbsp;&nbsp;which also need to know the \"previous\" value of the attribute.  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;.. versionadded:: 2.0.10  \n  \n  \n:param init: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n:param repr: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__repr__()``  \n&nbsp;method as generated by the dataclass process.  \n:param default_factory: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`,  \n&nbsp;specifies a default-value generation function that will take place  \n&nbsp;as part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n```  \n:param compare: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be included in comparison operations when generating the  \n&nbsp;``__eq__()`` and ``__ne__()`` methods for the mapped class.  \n  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param kw_only: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be marked as keyword-only when generating the ``__init__()``.  \n  \n:param hash: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, controls if this field  \n&nbsp;is included when generating the ``__hash__()`` method for the mapped  \n&nbsp;class.  \n  \n&nbsp;.. versionadded:: 2.0.36  \n  \n:param dataclass_metadata: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, supplies metadata  \n&nbsp;to be attached to the generated dataclass field.  \n  \n&nbsp;.. versionadded:: 2.0.42  \n  \n:param \\**kw: All remaining keyword arguments are passed through to the  \n&nbsp;constructor for the `_schema.Column`.\n\nGo to [SchemaEventTarget](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L1823,7) | [TypeEngine](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/type_api.py#L116,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [_NoArg](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L118,7) | [bool](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3200,7) | [SchemaConst](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L145,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ColumnElement](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L1287,7) | [FetchedValue](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L4706,7) | [TextClause](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L2545,7) | [int](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L418,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [MappedColumn](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/properties.py#L516,7)"}}}
+{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 2, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(function) mapped_column: def mapped_column[_T](\n    __name_pos         : SchemaEventTarget | TypeEngine[Any] | str | type[TypeEngine[Any]] | None = None,\n    __type_pos         : SchemaEventTarget | TypeEngine[Any] | type[TypeEngine[Any]] | None       = None,\n    /,\n    *args              : SchemaEventTarget,\n    *,\n    init               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    repr               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    default            : Any | None                                                               = _NoArg.NO_ARG,\n    default_factory    : (() -> _T) | _NoArg                                                      = _NoArg.NO_ARG,\n    compare            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    kw_only            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    hash               : _NoArg | bool | None                                                     = _NoArg.NO_ARG,\n    nullable           : Literal[SchemaConst.NULL_UNSPECIFIED] | bool | None                      = SchemaConst.NULL_UNSPECIFIED,\n    primary_key        : bool | None                                                              = False,\n    deferred           : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    deferred_group     : str | None                                                               = None,\n    deferred_raiseload : bool | None                                                              = None,\n    use_existing_column: bool                                                                     = False,\n    name               : str | None                                                               = None,\n    type_              : TypeEngine[Any] | type[TypeEngine[Any]] | None                           = None,\n    autoincrement      : _AutoIncrementType                                                       = 'auto',\n    doc                : str | None                                                               = None,\n    key                : str | None                                                               = None,\n    index              : bool | None                                                              = None,\n    unique             : bool | None                                                              = None,\n    info               : dict[Any, Any] | None                                                    = None,\n    onupdate           : Any | None                                                               = None,\n    insert_default     : Any | None                                                               = _NoArg.NO_ARG,\n    server_default     : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    server_onupdate    : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    active_history     : bool                                                                     = False,\n    quote              : bool | None                                                              = None,\n    system             : bool                                                                     = False,\n    comment            : str | None                                                               = None,\n    sort_order         : _NoArg | int                                                             = _NoArg.NO_ARG,\n    dataclass_metadata : Mapping[Any, Any] | _NoArg | None                                        = _NoArg.NO_ARG,\n    **kw               : Any\n) -> MappedColumn[Any]: ...\n```\n---\ndeclare a new ORM-mapped `_schema.Column` construct  \nfor use within `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \nThe `_orm.mapped_column` function provides an ORM-aware and  \nPython-typing-compatible construct which is used with  \n`declarative <orm_declarative_mapping>` mappings to indicate an  \nattribute that's mapped to a Core `_schema.Column` object.  It  \nprovides the equivalent feature as mapping an attribute to a  \n`_schema.Column` object directly when using Declarative,  \nspecifically when using `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \n.. versionadded:: 2.0  \n  \n`_orm.mapped_column` is normally used with explicit typing along with  \nthe `_orm.Mapped` annotation type, where it can derive the SQL  \ntype and nullability for the column based on what's present within the  \n`_orm.Mapped` annotation.   It also may be used without annotations  \nas a drop-in replacement for how `_schema.Column` is used in  \nDeclarative mappings in SQLAlchemy 1.x style.  \n  \nFor usage examples of `_orm.mapped_column`, see the documentation  \nat `orm_declarative_table`.  \n  \n.. seealso:  \n  \n```  \n`orm_declarative_table` - complete documentation  \n  \n`whatsnew_20_orm_declarative_typing` - migration notes for  \nDeclarative mappings using 1.x style mappings  \n  \n```  \n:param __name: String name to give to the `_schema.Column`.  This  \n&nbsp;is an optional, positional only argument that if present must be the  \n&nbsp;first positional argument passed.  If omitted, the attribute name to  \n&nbsp;which the `_orm.mapped_column`  is mapped will be used as the SQL  \n&nbsp;column name.  \n:param __type: `_types.TypeEngine` type or instance which will  \n&nbsp;indicate the datatype to be associated with the `_schema.Column`.  \n&nbsp;This is an optional, positional-only argument that if present must  \n&nbsp;immediately follow the ``__name`` parameter if present also, or otherwise  \n&nbsp;be the first positional parameter.  If omitted, the ultimate type for  \n&nbsp;the column may be derived either from the annotated type, or if a  \n&nbsp;`_schema.ForeignKey` is present, from the datatype of the  \n&nbsp;referenced column.  \n:param \\*args: Additional positional arguments include constructs such  \n&nbsp;as `_schema.ForeignKey`, `_schema.CheckConstraint`,  \n&nbsp;and `_schema.Identity`, which are passed through to the constructed  \n&nbsp;`_schema.Column`.  \n:param nullable: Optional bool, whether the column should be \"NULL\" or  \n&nbsp;\"NOT NULL\". If omitted, the nullability is derived from the type  \n&nbsp;annotation based on whether or not ``typing.Optional`` (or its equivalent)  \n&nbsp;is present.  ``nullable`` defaults to ``True`` otherwise for non-primary  \n&nbsp;key columns, and ``False`` for primary key columns.  \n:param primary_key: optional bool, indicates the `_schema.Column`  \n&nbsp;would be part of the table's primary key or not.  \n:param deferred: Optional bool - this keyword argument is consumed by the  \n&nbsp;ORM declarative process, and is not part of the `_schema.Column`  \n&nbsp;itself; instead, it indicates that this column should be \"deferred\" for  \n&nbsp;loading as though mapped by `_orm.deferred`.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_declarative`  \n  \n```  \n:param deferred_group: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.group` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_group`  \n  \n```  \n:param deferred_raiseload: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.raiseload` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_raiseload`  \n  \n```  \n:param use_existing_column: if True, will attempt to locate the given  \n&nbsp;column name on an inherited superclass (typically single inheriting  \n&nbsp;superclass), and if present, will not produce a new column, mapping  \n&nbsp;to the superclass column as though it were omitted from this class.  \n&nbsp;This is used for mixins that add new columns to an inherited superclass.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_inheritance_column_conflicts`  \n  \n```  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter if the  \n&nbsp;`_orm.mapped_column.insert_default` parameter is not present.  \n&nbsp;Additionally, when used with `orm_declarative_native_dataclasses`,  \n&nbsp;indicates a default Python value that should be applied to the keyword  \n&nbsp;constructor within the generated ``__init__()`` method.  \n  \n&nbsp;Note that in the case of dataclass generation when  \n&nbsp;`_orm.mapped_column.insert_default` is not present, this means  \n&nbsp;the `_orm.mapped_column.default` value is used in **two**  \n&nbsp;places, both the ``__init__()`` method as well as the  \n&nbsp;`_schema.Column.default` parameter. While this behavior may  \n&nbsp;change in a future release, for the moment this tends to \"work out\"; a  \n&nbsp;default of ``None`` will mean that the `_schema.Column` gets no  \n&nbsp;default generator, whereas a default that refers to a non-``None`` Python  \n&nbsp;or SQL expression value will be assigned up front on the object when  \n&nbsp;``__init__()`` is called, which is the same value that the Core  \n&nbsp;`_sql.Insert` construct would use in any case, leading to the same  \n&nbsp;end result.  \n  \n&nbsp;.. note:: When using Core level column defaults that are callables to  \n&nbsp;&nbsp;&nbsp;&nbsp;be interpreted by the underlying `_schema.Column` in conjunction  \n&nbsp;&nbsp;&nbsp;&nbsp;with `ORM-mapped dataclasses  \n&nbsp;&nbsp;&nbsp;&nbsp;<orm_declarative_native_dataclasses>`, especially those that are  \n&nbsp;&nbsp;&nbsp;&nbsp;`context-aware default functions <context_default_functions>`,  \n&nbsp;&nbsp;&nbsp;&nbsp;**the** `_orm.mapped_column.insert_default` **parameter must  \n&nbsp;&nbsp;&nbsp;&nbsp;be used instead**.  This is necessary to disambiguate the callable from  \n&nbsp;&nbsp;&nbsp;&nbsp;being interpreted as a dataclass level default.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param insert_default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter; will supersede the value  \n&nbsp;of `_orm.mapped_column.default` when present, however  \n&nbsp;`_orm.mapped_column.default` will always apply to the  \n&nbsp;constructor default for a dataclasses mapping.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param sort_order: An integer that indicates how this mapped column  \n&nbsp;should be sorted compared to the others when the ORM is creating a  \n&nbsp;`_schema.Table`. Among mapped columns that have the same  \n&nbsp;value the default ordering is used, placing first the mapped columns  \n&nbsp;defined in the main class, then the ones in the super classes.  \n&nbsp;Defaults to 0. The sort is ascending.  \n  \n&nbsp;.. versionadded:: 2.0.4  \n  \n:param active_history=False:  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;When ``True``, indicates that the \"previous\" value for a  \n&nbsp;&nbsp;&nbsp;&nbsp;scalar attribute should be loaded when replaced, if not  \n&nbsp;&nbsp;&nbsp;&nbsp;already loaded. Normally, history tracking logic for  \n&nbsp;&nbsp;&nbsp;&nbsp;simple non-primary-key scalar values only needs to be  \n&nbsp;&nbsp;&nbsp;&nbsp;aware of the \"new\" value in order to perform a flush. This  \n&nbsp;&nbsp;&nbsp;&nbsp;flag is available for applications that make use of  \n&nbsp;&nbsp;&nbsp;&nbsp;`.attributes.get_history` or `.Session.is_modified`  \n&nbsp;&nbsp;&nbsp;&nbsp;which also need to know the \"previous\" value of the attribute.  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;.. versionadded:: 2.0.10  \n  \n  \n:param init: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n:param repr: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__repr__()``  \n&nbsp;method as generated by the dataclass process.  \n:param default_factory: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`,  \n&nbsp;specifies a default-value generation function that will take place  \n&nbsp;as part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n```  \n:param compare: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be included in comparison operations when generating the  \n&nbsp;``__eq__()`` and ``__ne__()`` methods for the mapped class.  \n  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param kw_only: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be marked as keyword-only when generating the ``__init__()``.  \n  \n:param hash: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, controls if this field  \n&nbsp;is included when generating the ``__hash__()`` method for the mapped  \n&nbsp;class.  \n  \n&nbsp;.. versionadded:: 2.0.36  \n  \n:param dataclass_metadata: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, supplies metadata  \n&nbsp;to be attached to the generated dataclass field.  \n  \n&nbsp;.. versionadded:: 2.0.42  \n  \n:param \\**kw: All remaining keyword arguments are passed through to the  \n&nbsp;constructor for the `_schema.Column`.\n\nGo to [SchemaEventTarget](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L1823,7) | [TypeEngine](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/type_api.py#L116,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [_NoArg](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L118,7) | [bool](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3200,7) | [SchemaConst](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L145,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ColumnElement](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L1287,7) | [FetchedValue](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L4706,7) | [TextClause](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L2545,7) | [int](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L418,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [MappedColumn](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/properties.py#L516,7)"}}}
+{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 3, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(function) mapped_column: def mapped_column[_T](\n    __name_pos         : SchemaEventTarget | TypeEngine[Any] | str | type[TypeEngine[Any]] | None = None,\n    __type_pos         : SchemaEventTarget | TypeEngine[Any] | type[TypeEngine[Any]] | None       = None,\n    /,\n    *args              : SchemaEventTarget,\n    *,\n    init               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    repr               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    default            : Any | None                                                               = _NoArg.NO_ARG,\n    default_factory    : (() -> _T) | _NoArg                                                      = _NoArg.NO_ARG,\n    compare            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    kw_only            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    hash               : _NoArg | bool | None                                                     = _NoArg.NO_ARG,\n    nullable           : Literal[SchemaConst.NULL_UNSPECIFIED] | bool | None                      = SchemaConst.NULL_UNSPECIFIED,\n    primary_key        : bool | None                                                              = False,\n    deferred           : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    deferred_group     : str | None                                                               = None,\n    deferred_raiseload : bool | None                                                              = None,\n    use_existing_column: bool                                                                     = False,\n    name               : str | None                                                               = None,\n    type_              : TypeEngine[Any] | type[TypeEngine[Any]] | None                           = None,\n    autoincrement      : _AutoIncrementType                                                       = 'auto',\n    doc                : str | None                                                               = None,\n    key                : str | None                                                               = None,\n    index              : bool | None                                                              = None,\n    unique             : bool | None                                                              = None,\n    info               : dict[Any, Any] | None                                                    = None,\n    onupdate           : Any | None                                                               = None,\n    insert_default     : Any | None                                                               = _NoArg.NO_ARG,\n    server_default     : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    server_onupdate    : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    active_history     : bool                                                                     = False,\n    quote              : bool | None                                                              = None,\n    system             : bool                                                                     = False,\n    comment            : str | None                                                               = None,\n    sort_order         : _NoArg | int                                                             = _NoArg.NO_ARG,\n    dataclass_metadata : Mapping[Any, Any] | _NoArg | None                                        = _NoArg.NO_ARG,\n    **kw               : Any\n) -> MappedColumn[Any]: ...\n```\n---\ndeclare a new ORM-mapped `_schema.Column` construct  \nfor use within `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \nThe `_orm.mapped_column` function provides an ORM-aware and  \nPython-typing-compatible construct which is used with  \n`declarative <orm_declarative_mapping>` mappings to indicate an  \nattribute that's mapped to a Core `_schema.Column` object.  It  \nprovides the equivalent feature as mapping an attribute to a  \n`_schema.Column` object directly when using Declarative,  \nspecifically when using `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \n.. versionadded:: 2.0  \n  \n`_orm.mapped_column` is normally used with explicit typing along with  \nthe `_orm.Mapped` annotation type, where it can derive the SQL  \ntype and nullability for the column based on what's present within the  \n`_orm.Mapped` annotation.   It also may be used without annotations  \nas a drop-in replacement for how `_schema.Column` is used in  \nDeclarative mappings in SQLAlchemy 1.x style.  \n  \nFor usage examples of `_orm.mapped_column`, see the documentation  \nat `orm_declarative_table`.  \n  \n.. seealso:  \n  \n```  \n`orm_declarative_table` - complete documentation  \n  \n`whatsnew_20_orm_declarative_typing` - migration notes for  \nDeclarative mappings using 1.x style mappings  \n  \n```  \n:param __name: String name to give to the `_schema.Column`.  This  \n&nbsp;is an optional, positional only argument that if present must be the  \n&nbsp;first positional argument passed.  If omitted, the attribute name to  \n&nbsp;which the `_orm.mapped_column`  is mapped will be used as the SQL  \n&nbsp;column name.  \n:param __type: `_types.TypeEngine` type or instance which will  \n&nbsp;indicate the datatype to be associated with the `_schema.Column`.  \n&nbsp;This is an optional, positional-only argument that if present must  \n&nbsp;immediately follow the ``__name`` parameter if present also, or otherwise  \n&nbsp;be the first positional parameter.  If omitted, the ultimate type for  \n&nbsp;the column may be derived either from the annotated type, or if a  \n&nbsp;`_schema.ForeignKey` is present, from the datatype of the  \n&nbsp;referenced column.  \n:param \\*args: Additional positional arguments include constructs such  \n&nbsp;as `_schema.ForeignKey`, `_schema.CheckConstraint`,  \n&nbsp;and `_schema.Identity`, which are passed through to the constructed  \n&nbsp;`_schema.Column`.  \n:param nullable: Optional bool, whether the column should be \"NULL\" or  \n&nbsp;\"NOT NULL\". If omitted, the nullability is derived from the type  \n&nbsp;annotation based on whether or not ``typing.Optional`` (or its equivalent)  \n&nbsp;is present.  ``nullable`` defaults to ``True`` otherwise for non-primary  \n&nbsp;key columns, and ``False`` for primary key columns.  \n:param primary_key: optional bool, indicates the `_schema.Column`  \n&nbsp;would be part of the table's primary key or not.  \n:param deferred: Optional bool - this keyword argument is consumed by the  \n&nbsp;ORM declarative process, and is not part of the `_schema.Column`  \n&nbsp;itself; instead, it indicates that this column should be \"deferred\" for  \n&nbsp;loading as though mapped by `_orm.deferred`.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_declarative`  \n  \n```  \n:param deferred_group: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.group` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_group`  \n  \n```  \n:param deferred_raiseload: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.raiseload` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_raiseload`  \n  \n```  \n:param use_existing_column: if True, will attempt to locate the given  \n&nbsp;column name on an inherited superclass (typically single inheriting  \n&nbsp;superclass), and if present, will not produce a new column, mapping  \n&nbsp;to the superclass column as though it were omitted from this class.  \n&nbsp;This is used for mixins that add new columns to an inherited superclass.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_inheritance_column_conflicts`  \n  \n```  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter if the  \n&nbsp;`_orm.mapped_column.insert_default` parameter is not present.  \n&nbsp;Additionally, when used with `orm_declarative_native_dataclasses`,  \n&nbsp;indicates a default Python value that should be applied to the keyword  \n&nbsp;constructor within the generated ``__init__()`` method.  \n  \n&nbsp;Note that in the case of dataclass generation when  \n&nbsp;`_orm.mapped_column.insert_default` is not present, this means  \n&nbsp;the `_orm.mapped_column.default` value is used in **two**  \n&nbsp;places, both the ``__init__()`` method as well as the  \n&nbsp;`_schema.Column.default` parameter. While this behavior may  \n&nbsp;change in a future release, for the moment this tends to \"work out\"; a  \n&nbsp;default of ``None`` will mean that the `_schema.Column` gets no  \n&nbsp;default generator, whereas a default that refers to a non-``None`` Python  \n&nbsp;or SQL expression value will be assigned up front on the object when  \n&nbsp;``__init__()`` is called, which is the same value that the Core  \n&nbsp;`_sql.Insert` construct would use in any case, leading to the same  \n&nbsp;end result.  \n  \n&nbsp;.. note:: When using Core level column defaults that are callables to  \n&nbsp;&nbsp;&nbsp;&nbsp;be interpreted by the underlying `_schema.Column` in conjunction  \n&nbsp;&nbsp;&nbsp;&nbsp;with `ORM-mapped dataclasses  \n&nbsp;&nbsp;&nbsp;&nbsp;<orm_declarative_native_dataclasses>`, especially those that are  \n&nbsp;&nbsp;&nbsp;&nbsp;`context-aware default functions <context_default_functions>`,  \n&nbsp;&nbsp;&nbsp;&nbsp;**the** `_orm.mapped_column.insert_default` **parameter must  \n&nbsp;&nbsp;&nbsp;&nbsp;be used instead**.  This is necessary to disambiguate the callable from  \n&nbsp;&nbsp;&nbsp;&nbsp;being interpreted as a dataclass level default.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param insert_default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter; will supersede the value  \n&nbsp;of `_orm.mapped_column.default` when present, however  \n&nbsp;`_orm.mapped_column.default` will always apply to the  \n&nbsp;constructor default for a dataclasses mapping.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param sort_order: An integer that indicates how this mapped column  \n&nbsp;should be sorted compared to the others when the ORM is creating a  \n&nbsp;`_schema.Table`. Among mapped columns that have the same  \n&nbsp;value the default ordering is used, placing first the mapped columns  \n&nbsp;defined in the main class, then the ones in the super classes.  \n&nbsp;Defaults to 0. The sort is ascending.  \n  \n&nbsp;.. versionadded:: 2.0.4  \n  \n:param active_history=False:  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;When ``True``, indicates that the \"previous\" value for a  \n&nbsp;&nbsp;&nbsp;&nbsp;scalar attribute should be loaded when replaced, if not  \n&nbsp;&nbsp;&nbsp;&nbsp;already loaded. Normally, history tracking logic for  \n&nbsp;&nbsp;&nbsp;&nbsp;simple non-primary-key scalar values only needs to be  \n&nbsp;&nbsp;&nbsp;&nbsp;aware of the \"new\" value in order to perform a flush. This  \n&nbsp;&nbsp;&nbsp;&nbsp;flag is available for applications that make use of  \n&nbsp;&nbsp;&nbsp;&nbsp;`.attributes.get_history` or `.Session.is_modified`  \n&nbsp;&nbsp;&nbsp;&nbsp;which also need to know the \"previous\" value of the attribute.  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;.. versionadded:: 2.0.10  \n  \n  \n:param init: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n:param repr: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__repr__()``  \n&nbsp;method as generated by the dataclass process.  \n:param default_factory: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`,  \n&nbsp;specifies a default-value generation function that will take place  \n&nbsp;as part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n```  \n:param compare: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be included in comparison operations when generating the  \n&nbsp;``__eq__()`` and ``__ne__()`` methods for the mapped class.  \n  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param kw_only: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be marked as keyword-only when generating the ``__init__()``.  \n  \n:param hash: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, controls if this field  \n&nbsp;is included when generating the ``__hash__()`` method for the mapped  \n&nbsp;class.  \n  \n&nbsp;.. versionadded:: 2.0.36  \n  \n:param dataclass_metadata: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, supplies metadata  \n&nbsp;to be attached to the generated dataclass field.  \n  \n&nbsp;.. versionadded:: 2.0.42  \n  \n:param \\**kw: All remaining keyword arguments are passed through to the  \n&nbsp;constructor for the `_schema.Column`.\n\nGo to [SchemaEventTarget](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L1823,7) | [TypeEngine](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/type_api.py#L116,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [_NoArg](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L118,7) | [bool](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3200,7) | [SchemaConst](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L145,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ColumnElement](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L1287,7) | [FetchedValue](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L4706,7) | [TextClause](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L2545,7) | [int](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L418,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [MappedColumn](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/properties.py#L516,7)"}}}
+{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 4, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(function) mapped_column: def mapped_column[_T](\n    __name_pos         : SchemaEventTarget | TypeEngine[Any] | str | type[TypeEngine[Any]] | None = None,\n    __type_pos         : SchemaEventTarget | TypeEngine[Any] | type[TypeEngine[Any]] | None       = None,\n    /,\n    *args              : SchemaEventTarget,\n    *,\n    init               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    repr               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    default            : Any | None                                                               = _NoArg.NO_ARG,\n    default_factory    : (() -> _T) | _NoArg                                                      = _NoArg.NO_ARG,\n    compare            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    kw_only            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    hash               : _NoArg | bool | None                                                     = _NoArg.NO_ARG,\n    nullable           : Literal[SchemaConst.NULL_UNSPECIFIED] | bool | None                      = SchemaConst.NULL_UNSPECIFIED,\n    primary_key        : bool | None                                                              = False,\n    deferred           : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    deferred_group     : str | None                                                               = None,\n    deferred_raiseload : bool | None                                                              = None,\n    use_existing_column: bool                                                                     = False,\n    name               : str | None                                                               = None,\n    type_              : TypeEngine[Any] | type[TypeEngine[Any]] | None                           = None,\n    autoincrement      : _AutoIncrementType                                                       = 'auto',\n    doc                : str | None                                                               = None,\n    key                : str | None                                                               = None,\n    index              : bool | None                                                              = None,\n    unique             : bool | None                                                              = None,\n    info               : dict[Any, Any] | None                                                    = None,\n    onupdate           : Any | None                                                               = None,\n    insert_default     : Any | None                                                               = _NoArg.NO_ARG,\n    server_default     : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    server_onupdate    : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    active_history     : bool                                                                     = False,\n    quote              : bool | None                                                              = None,\n    system             : bool                                                                     = False,\n    comment            : str | None                                                               = None,\n    sort_order         : _NoArg | int                                                             = _NoArg.NO_ARG,\n    dataclass_metadata : Mapping[Any, Any] | _NoArg | None                                        = _NoArg.NO_ARG,\n    **kw               : Any\n) -> MappedColumn[Any]: ...\n```\n---\ndeclare a new ORM-mapped `_schema.Column` construct  \nfor use within `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \nThe `_orm.mapped_column` function provides an ORM-aware and  \nPython-typing-compatible construct which is used with  \n`declarative <orm_declarative_mapping>` mappings to indicate an  \nattribute that's mapped to a Core `_schema.Column` object.  It  \nprovides the equivalent feature as mapping an attribute to a  \n`_schema.Column` object directly when using Declarative,  \nspecifically when using `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \n.. versionadded:: 2.0  \n  \n`_orm.mapped_column` is normally used with explicit typing along with  \nthe `_orm.Mapped` annotation type, where it can derive the SQL  \ntype and nullability for the column based on what's present within the  \n`_orm.Mapped` annotation.   It also may be used without annotations  \nas a drop-in replacement for how `_schema.Column` is used in  \nDeclarative mappings in SQLAlchemy 1.x style.  \n  \nFor usage examples of `_orm.mapped_column`, see the documentation  \nat `orm_declarative_table`.  \n  \n.. seealso:  \n  \n```  \n`orm_declarative_table` - complete documentation  \n  \n`whatsnew_20_orm_declarative_typing` - migration notes for  \nDeclarative mappings using 1.x style mappings  \n  \n```  \n:param __name: String name to give to the `_schema.Column`.  This  \n&nbsp;is an optional, positional only argument that if present must be the  \n&nbsp;first positional argument passed.  If omitted, the attribute name to  \n&nbsp;which the `_orm.mapped_column`  is mapped will be used as the SQL  \n&nbsp;column name.  \n:param __type: `_types.TypeEngine` type or instance which will  \n&nbsp;indicate the datatype to be associated with the `_schema.Column`.  \n&nbsp;This is an optional, positional-only argument that if present must  \n&nbsp;immediately follow the ``__name`` parameter if present also, or otherwise  \n&nbsp;be the first positional parameter.  If omitted, the ultimate type for  \n&nbsp;the column may be derived either from the annotated type, or if a  \n&nbsp;`_schema.ForeignKey` is present, from the datatype of the  \n&nbsp;referenced column.  \n:param \\*args: Additional positional arguments include constructs such  \n&nbsp;as `_schema.ForeignKey`, `_schema.CheckConstraint`,  \n&nbsp;and `_schema.Identity`, which are passed through to the constructed  \n&nbsp;`_schema.Column`.  \n:param nullable: Optional bool, whether the column should be \"NULL\" or  \n&nbsp;\"NOT NULL\". If omitted, the nullability is derived from the type  \n&nbsp;annotation based on whether or not ``typing.Optional`` (or its equivalent)  \n&nbsp;is present.  ``nullable`` defaults to ``True`` otherwise for non-primary  \n&nbsp;key columns, and ``False`` for primary key columns.  \n:param primary_key: optional bool, indicates the `_schema.Column`  \n&nbsp;would be part of the table's primary key or not.  \n:param deferred: Optional bool - this keyword argument is consumed by the  \n&nbsp;ORM declarative process, and is not part of the `_schema.Column`  \n&nbsp;itself; instead, it indicates that this column should be \"deferred\" for  \n&nbsp;loading as though mapped by `_orm.deferred`.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_declarative`  \n  \n```  \n:param deferred_group: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.group` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_group`  \n  \n```  \n:param deferred_raiseload: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.raiseload` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_raiseload`  \n  \n```  \n:param use_existing_column: if True, will attempt to locate the given  \n&nbsp;column name on an inherited superclass (typically single inheriting  \n&nbsp;superclass), and if present, will not produce a new column, mapping  \n&nbsp;to the superclass column as though it were omitted from this class.  \n&nbsp;This is used for mixins that add new columns to an inherited superclass.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_inheritance_column_conflicts`  \n  \n```  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter if the  \n&nbsp;`_orm.mapped_column.insert_default` parameter is not present.  \n&nbsp;Additionally, when used with `orm_declarative_native_dataclasses`,  \n&nbsp;indicates a default Python value that should be applied to the keyword  \n&nbsp;constructor within the generated ``__init__()`` method.  \n  \n&nbsp;Note that in the case of dataclass generation when  \n&nbsp;`_orm.mapped_column.insert_default` is not present, this means  \n&nbsp;the `_orm.mapped_column.default` value is used in **two**  \n&nbsp;places, both the ``__init__()`` method as well as the  \n&nbsp;`_schema.Column.default` parameter. While this behavior may  \n&nbsp;change in a future release, for the moment this tends to \"work out\"; a  \n&nbsp;default of ``None`` will mean that the `_schema.Column` gets no  \n&nbsp;default generator, whereas a default that refers to a non-``None`` Python  \n&nbsp;or SQL expression value will be assigned up front on the object when  \n&nbsp;``__init__()`` is called, which is the same value that the Core  \n&nbsp;`_sql.Insert` construct would use in any case, leading to the same  \n&nbsp;end result.  \n  \n&nbsp;.. note:: When using Core level column defaults that are callables to  \n&nbsp;&nbsp;&nbsp;&nbsp;be interpreted by the underlying `_schema.Column` in conjunction  \n&nbsp;&nbsp;&nbsp;&nbsp;with `ORM-mapped dataclasses  \n&nbsp;&nbsp;&nbsp;&nbsp;<orm_declarative_native_dataclasses>`, especially those that are  \n&nbsp;&nbsp;&nbsp;&nbsp;`context-aware default functions <context_default_functions>`,  \n&nbsp;&nbsp;&nbsp;&nbsp;**the** `_orm.mapped_column.insert_default` **parameter must  \n&nbsp;&nbsp;&nbsp;&nbsp;be used instead**.  This is necessary to disambiguate the callable from  \n&nbsp;&nbsp;&nbsp;&nbsp;being interpreted as a dataclass level default.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param insert_default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter; will supersede the value  \n&nbsp;of `_orm.mapped_column.default` when present, however  \n&nbsp;`_orm.mapped_column.default` will always apply to the  \n&nbsp;constructor default for a dataclasses mapping.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param sort_order: An integer that indicates how this mapped column  \n&nbsp;should be sorted compared to the others when the ORM is creating a  \n&nbsp;`_schema.Table`. Among mapped columns that have the same  \n&nbsp;value the default ordering is used, placing first the mapped columns  \n&nbsp;defined in the main class, then the ones in the super classes.  \n&nbsp;Defaults to 0. The sort is ascending.  \n  \n&nbsp;.. versionadded:: 2.0.4  \n  \n:param active_history=False:  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;When ``True``, indicates that the \"previous\" value for a  \n&nbsp;&nbsp;&nbsp;&nbsp;scalar attribute should be loaded when replaced, if not  \n&nbsp;&nbsp;&nbsp;&nbsp;already loaded. Normally, history tracking logic for  \n&nbsp;&nbsp;&nbsp;&nbsp;simple non-primary-key scalar values only needs to be  \n&nbsp;&nbsp;&nbsp;&nbsp;aware of the \"new\" value in order to perform a flush. This  \n&nbsp;&nbsp;&nbsp;&nbsp;flag is available for applications that make use of  \n&nbsp;&nbsp;&nbsp;&nbsp;`.attributes.get_history` or `.Session.is_modified`  \n&nbsp;&nbsp;&nbsp;&nbsp;which also need to know the \"previous\" value of the attribute.  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;.. versionadded:: 2.0.10  \n  \n  \n:param init: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n:param repr: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__repr__()``  \n&nbsp;method as generated by the dataclass process.  \n:param default_factory: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`,  \n&nbsp;specifies a default-value generation function that will take place  \n&nbsp;as part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n```  \n:param compare: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be included in comparison operations when generating the  \n&nbsp;``__eq__()`` and ``__ne__()`` methods for the mapped class.  \n  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param kw_only: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be marked as keyword-only when generating the ``__init__()``.  \n  \n:param hash: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, controls if this field  \n&nbsp;is included when generating the ``__hash__()`` method for the mapped  \n&nbsp;class.  \n  \n&nbsp;.. versionadded:: 2.0.36  \n  \n:param dataclass_metadata: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, supplies metadata  \n&nbsp;to be attached to the generated dataclass field.  \n  \n&nbsp;.. versionadded:: 2.0.42  \n  \n:param \\**kw: All remaining keyword arguments are passed through to the  \n&nbsp;constructor for the `_schema.Column`.\n\nGo to [SchemaEventTarget](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L1823,7) | [TypeEngine](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/type_api.py#L116,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [_NoArg](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L118,7) | [bool](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3200,7) | [SchemaConst](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L145,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ColumnElement](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L1287,7) | [FetchedValue](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L4706,7) | [TextClause](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L2545,7) | [int](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L418,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [MappedColumn](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/properties.py#L516,7)"}}}
+{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 5, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(function) mapped_column: def mapped_column[_T](\n    __name_pos         : SchemaEventTarget | TypeEngine[Any] | str | type[TypeEngine[Any]] | None = None,\n    __type_pos         : SchemaEventTarget | TypeEngine[Any] | type[TypeEngine[Any]] | None       = None,\n    /,\n    *args              : SchemaEventTarget,\n    *,\n    init               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    repr               : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    default            : Any | None                                                               = _NoArg.NO_ARG,\n    default_factory    : (() -> _T) | _NoArg                                                      = _NoArg.NO_ARG,\n    compare            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    kw_only            : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    hash               : _NoArg | bool | None                                                     = _NoArg.NO_ARG,\n    nullable           : Literal[SchemaConst.NULL_UNSPECIFIED] | bool | None                      = SchemaConst.NULL_UNSPECIFIED,\n    primary_key        : bool | None                                                              = False,\n    deferred           : _NoArg | bool                                                            = _NoArg.NO_ARG,\n    deferred_group     : str | None                                                               = None,\n    deferred_raiseload : bool | None                                                              = None,\n    use_existing_column: bool                                                                     = False,\n    name               : str | None                                                               = None,\n    type_              : TypeEngine[Any] | type[TypeEngine[Any]] | None                           = None,\n    autoincrement      : _AutoIncrementType                                                       = 'auto',\n    doc                : str | None                                                               = None,\n    key                : str | None                                                               = None,\n    index              : bool | None                                                              = None,\n    unique             : bool | None                                                              = None,\n    info               : dict[Any, Any] | None                                                    = None,\n    onupdate           : Any | None                                                               = None,\n    insert_default     : Any | None                                                               = _NoArg.NO_ARG,\n    server_default     : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    server_onupdate    : ColumnElement[Any] | FetchedValue | TextClause | str | None              = None,\n    active_history     : bool                                                                     = False,\n    quote              : bool | None                                                              = None,\n    system             : bool                                                                     = False,\n    comment            : str | None                                                               = None,\n    sort_order         : _NoArg | int                                                             = _NoArg.NO_ARG,\n    dataclass_metadata : Mapping[Any, Any] | _NoArg | None                                        = _NoArg.NO_ARG,\n    **kw               : Any\n) -> MappedColumn[Any]: ...\n```\n---\ndeclare a new ORM-mapped `_schema.Column` construct  \nfor use within `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \nThe `_orm.mapped_column` function provides an ORM-aware and  \nPython-typing-compatible construct which is used with  \n`declarative <orm_declarative_mapping>` mappings to indicate an  \nattribute that's mapped to a Core `_schema.Column` object.  It  \nprovides the equivalent feature as mapping an attribute to a  \n`_schema.Column` object directly when using Declarative,  \nspecifically when using `Declarative Table <orm_declarative_table>`  \nconfiguration.  \n  \n.. versionadded:: 2.0  \n  \n`_orm.mapped_column` is normally used with explicit typing along with  \nthe `_orm.Mapped` annotation type, where it can derive the SQL  \ntype and nullability for the column based on what's present within the  \n`_orm.Mapped` annotation.   It also may be used without annotations  \nas a drop-in replacement for how `_schema.Column` is used in  \nDeclarative mappings in SQLAlchemy 1.x style.  \n  \nFor usage examples of `_orm.mapped_column`, see the documentation  \nat `orm_declarative_table`.  \n  \n.. seealso:  \n  \n```  \n`orm_declarative_table` - complete documentation  \n  \n`whatsnew_20_orm_declarative_typing` - migration notes for  \nDeclarative mappings using 1.x style mappings  \n  \n```  \n:param __name: String name to give to the `_schema.Column`.  This  \n&nbsp;is an optional, positional only argument that if present must be the  \n&nbsp;first positional argument passed.  If omitted, the attribute name to  \n&nbsp;which the `_orm.mapped_column`  is mapped will be used as the SQL  \n&nbsp;column name.  \n:param __type: `_types.TypeEngine` type or instance which will  \n&nbsp;indicate the datatype to be associated with the `_schema.Column`.  \n&nbsp;This is an optional, positional-only argument that if present must  \n&nbsp;immediately follow the ``__name`` parameter if present also, or otherwise  \n&nbsp;be the first positional parameter.  If omitted, the ultimate type for  \n&nbsp;the column may be derived either from the annotated type, or if a  \n&nbsp;`_schema.ForeignKey` is present, from the datatype of the  \n&nbsp;referenced column.  \n:param \\*args: Additional positional arguments include constructs such  \n&nbsp;as `_schema.ForeignKey`, `_schema.CheckConstraint`,  \n&nbsp;and `_schema.Identity`, which are passed through to the constructed  \n&nbsp;`_schema.Column`.  \n:param nullable: Optional bool, whether the column should be \"NULL\" or  \n&nbsp;\"NOT NULL\". If omitted, the nullability is derived from the type  \n&nbsp;annotation based on whether or not ``typing.Optional`` (or its equivalent)  \n&nbsp;is present.  ``nullable`` defaults to ``True`` otherwise for non-primary  \n&nbsp;key columns, and ``False`` for primary key columns.  \n:param primary_key: optional bool, indicates the `_schema.Column`  \n&nbsp;would be part of the table's primary key or not.  \n:param deferred: Optional bool - this keyword argument is consumed by the  \n&nbsp;ORM declarative process, and is not part of the `_schema.Column`  \n&nbsp;itself; instead, it indicates that this column should be \"deferred\" for  \n&nbsp;loading as though mapped by `_orm.deferred`.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_declarative`  \n  \n```  \n:param deferred_group: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.group` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_group`  \n  \n```  \n:param deferred_raiseload: Implies `_orm.mapped_column.deferred`  \n&nbsp;to ``True``, and set the `_orm.deferred.raiseload` parameter.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_queryguide_deferred_raiseload`  \n  \n```  \n:param use_existing_column: if True, will attempt to locate the given  \n&nbsp;column name on an inherited superclass (typically single inheriting  \n&nbsp;superclass), and if present, will not produce a new column, mapping  \n&nbsp;to the superclass column as though it were omitted from this class.  \n&nbsp;This is used for mixins that add new columns to an inherited superclass.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`orm_inheritance_column_conflicts`  \n  \n```  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter if the  \n&nbsp;`_orm.mapped_column.insert_default` parameter is not present.  \n&nbsp;Additionally, when used with `orm_declarative_native_dataclasses`,  \n&nbsp;indicates a default Python value that should be applied to the keyword  \n&nbsp;constructor within the generated ``__init__()`` method.  \n  \n&nbsp;Note that in the case of dataclass generation when  \n&nbsp;`_orm.mapped_column.insert_default` is not present, this means  \n&nbsp;the `_orm.mapped_column.default` value is used in **two**  \n&nbsp;places, both the ``__init__()`` method as well as the  \n&nbsp;`_schema.Column.default` parameter. While this behavior may  \n&nbsp;change in a future release, for the moment this tends to \"work out\"; a  \n&nbsp;default of ``None`` will mean that the `_schema.Column` gets no  \n&nbsp;default generator, whereas a default that refers to a non-``None`` Python  \n&nbsp;or SQL expression value will be assigned up front on the object when  \n&nbsp;``__init__()`` is called, which is the same value that the Core  \n&nbsp;`_sql.Insert` construct would use in any case, leading to the same  \n&nbsp;end result.  \n  \n&nbsp;.. note:: When using Core level column defaults that are callables to  \n&nbsp;&nbsp;&nbsp;&nbsp;be interpreted by the underlying `_schema.Column` in conjunction  \n&nbsp;&nbsp;&nbsp;&nbsp;with `ORM-mapped dataclasses  \n&nbsp;&nbsp;&nbsp;&nbsp;<orm_declarative_native_dataclasses>`, especially those that are  \n&nbsp;&nbsp;&nbsp;&nbsp;`context-aware default functions <context_default_functions>`,  \n&nbsp;&nbsp;&nbsp;&nbsp;**the** `_orm.mapped_column.insert_default` **parameter must  \n&nbsp;&nbsp;&nbsp;&nbsp;be used instead**.  This is necessary to disambiguate the callable from  \n&nbsp;&nbsp;&nbsp;&nbsp;being interpreted as a dataclass level default.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param insert_default: Passed directly to the  \n&nbsp;`_schema.Column.default` parameter; will supersede the value  \n&nbsp;of `_orm.mapped_column.default` when present, however  \n&nbsp;`_orm.mapped_column.default` will always apply to the  \n&nbsp;constructor default for a dataclasses mapping.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.default_factory`  \n  \n```  \n:param sort_order: An integer that indicates how this mapped column  \n&nbsp;should be sorted compared to the others when the ORM is creating a  \n&nbsp;`_schema.Table`. Among mapped columns that have the same  \n&nbsp;value the default ordering is used, placing first the mapped columns  \n&nbsp;defined in the main class, then the ones in the super classes.  \n&nbsp;Defaults to 0. The sort is ascending.  \n  \n&nbsp;.. versionadded:: 2.0.4  \n  \n:param active_history=False:  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;When ``True``, indicates that the \"previous\" value for a  \n&nbsp;&nbsp;&nbsp;&nbsp;scalar attribute should be loaded when replaced, if not  \n&nbsp;&nbsp;&nbsp;&nbsp;already loaded. Normally, history tracking logic for  \n&nbsp;&nbsp;&nbsp;&nbsp;simple non-primary-key scalar values only needs to be  \n&nbsp;&nbsp;&nbsp;&nbsp;aware of the \"new\" value in order to perform a flush. This  \n&nbsp;&nbsp;&nbsp;&nbsp;flag is available for applications that make use of  \n&nbsp;&nbsp;&nbsp;&nbsp;`.attributes.get_history` or `.Session.is_modified`  \n&nbsp;&nbsp;&nbsp;&nbsp;which also need to know the \"previous\" value of the attribute.  \n  \n&nbsp;&nbsp;&nbsp;&nbsp;.. versionadded:: 2.0.10  \n  \n  \n:param init: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n:param repr: Specific to `orm_declarative_native_dataclasses`,  \n&nbsp;specifies if the mapped attribute should be part of the ``__repr__()``  \n&nbsp;method as generated by the dataclass process.  \n:param default_factory: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`,  \n&nbsp;specifies a default-value generation function that will take place  \n&nbsp;as part of the ``__init__()``  \n&nbsp;method as generated by the dataclass process.  \n  \n&nbsp;.. seealso:  \n  \n```  \n`defaults_default_factory_insert_default`  \n  \n`_orm.mapped_column.default`  \n  \n`_orm.mapped_column.insert_default`  \n  \n```  \n:param compare: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be included in comparison operations when generating the  \n&nbsp;``__eq__()`` and ``__ne__()`` methods for the mapped class.  \n  \n&nbsp;.. versionadded:: 2.0.0b4  \n  \n:param kw_only: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, indicates if this field  \n&nbsp;should be marked as keyword-only when generating the ``__init__()``.  \n  \n:param hash: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, controls if this field  \n&nbsp;is included when generating the ``__hash__()`` method for the mapped  \n&nbsp;class.  \n  \n&nbsp;.. versionadded:: 2.0.36  \n  \n:param dataclass_metadata: Specific to  \n&nbsp;`orm_declarative_native_dataclasses`, supplies metadata  \n&nbsp;to be attached to the generated dataclass field.  \n  \n&nbsp;.. versionadded:: 2.0.42  \n  \n:param \\**kw: All remaining keyword arguments are passed through to the  \n&nbsp;constructor for the `_schema.Column`.\n\nGo to [SchemaEventTarget](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L1823,7) | [TypeEngine](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/type_api.py#L116,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [_NoArg](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/base.py#L118,7) | [bool](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3200,7) | [SchemaConst](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L145,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ColumnElement](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L1287,7) | [FetchedValue](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/schema.py#L4706,7) | [TextClause](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/elements.py#L2545,7) | [int](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L418,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [MappedColumn](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/properties.py#L516,7)"}}}
+{"suite": "sqlalchemy", "label": "mapped class definition", "method": "textDocument/definition", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 16, "iteration": 1, "result": {"range": {"end": {"character": 16, "line": 5317}, "start": {"character": 8, "line": 5317}}, "uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py"}}
+{"suite": "sqlalchemy", "label": "mapped class definition", "method": "textDocument/definition", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 16, "iteration": 2, "result": {"range": {"end": {"character": 16, "line": 5317}, "start": {"character": 8, "line": 5317}}, "uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py"}}
+{"suite": "sqlalchemy", "label": "mapped class definition", "method": "textDocument/definition", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 16, "iteration": 3, "result": {"range": {"end": {"character": 16, "line": 5317}, "start": {"character": 8, "line": 5317}}, "uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py"}}
+{"suite": "sqlalchemy", "label": "mapped class definition", "method": "textDocument/definition", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 16, "iteration": 4, "result": {"range": {"end": {"character": 16, "line": 5317}, "start": {"character": 8, "line": 5317}}, "uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py"}}
+{"suite": "sqlalchemy", "label": "mapped class definition", "method": "textDocument/definition", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 16, "iteration": 5, "result": {"range": {"end": {"character": 16, "line": 5317}, "start": {"character": 8, "line": 5317}}, "uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py"}}
 {"suite": "sqlalchemy", "label": "edit query then complete (edit+completion)", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 51, "iteration": 1, "result": {"isIncomplete": false, "items": [{"detail": "int", "kind": 5, "label": "id", "sortText": "0.9999.id"}, {"detail": "MetaData", "kind": 5, "label": "metadata", "sortText": "0.9999.metadata"}, {"detail": "str", "kind": 5, "label": "name", "sortText": "0.9999.name"}, {"detail": "registry", "kind": 5, "label": "registry", "sortText": "0.9999.registry"}, {"detail": "def _sa_inspect_instance(self: User) -> InstanceState[User]: ...", "kind": 2, "label": "_sa_inspect_instance", "sortText": "2.9999._sa_inspect_instance"}, {"detail": "def _sa_inspect_type(self: User) -> Mapper[User]: ...", "kind": 2, "label": "_sa_inspect_type", "sortText": "2.9999._sa_inspect_type"}, {"detail": "registry", "kind": 5, "label": "_sa_registry", "sortText": "2.9999._sa_registry"}, {"detail": "def __bool__(self: NoneType) -> Literal[False]: ...", "documentation": {"kind": "markdown", "value": "True if self else False"}, "kind": 2, "label": "__bool__", "sortText": "3.9999.__bool__"}, {"detail": "((self: NoneType) -> None) | ((\n    self: User,\n    **kw: Any\n) -> None)", "kind": 5, "label": "__init__", "sortText": "3.9999.__init__"}, {"detail": "((cls: type[NoneType]) -> None) | ((\n    cls: type[User],\n    **kw: Any\n) -> None)", "kind": 5, "label": "__init_subclass__", "sortText": "3.9999.__init_subclass__"}, {"detail": "Mapper[Any]", "kind": 5, "label": "__mapper__", "sortText": "3.9999.__mapper__"}, {"detail": "Any", "kind": 5, "label": "__mapper_args__", "sortText": "3.9999.__mapper_args__"}, {"detail": "str", "kind": 5, "label": "__name__", "sortText": "3.9999.__name__"}, {"detail": "tuple[()]", "kind": 5, "label": "__slots__", "sortText": "3.9999.__slots__"}, {"detail": "FromClause", "kind": 5, "label": "__table__", "sortText": "3.9999.__table__"}, {"detail": "Any", "kind": 5, "label": "__table_args__", "sortText": "3.9999.__table_args__"}, {"detail": "Any", "kind": 5, "label": "__tablename__", "sortText": "3.9999.__tablename__"}]}}
 {"suite": "sqlalchemy", "label": "edit query then complete (edit+completion)", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 51, "iteration": 2, "result": {"isIncomplete": false, "items": [{"detail": "int", "kind": 5, "label": "id", "sortText": "0.9999.id"}, {"detail": "MetaData", "kind": 5, "label": "metadata", "sortText": "0.9999.metadata"}, {"detail": "str", "kind": 5, "label": "name", "sortText": "0.9999.name"}, {"detail": "registry", "kind": 5, "label": "registry", "sortText": "0.9999.registry"}, {"detail": "def _sa_inspect_instance(self: User) -> InstanceState[User]: ...", "kind": 2, "label": "_sa_inspect_instance", "sortText": "2.9999._sa_inspect_instance"}, {"detail": "def _sa_inspect_type(self: User) -> Mapper[User]: ...", "kind": 2, "label": "_sa_inspect_type", "sortText": "2.9999._sa_inspect_type"}, {"detail": "registry", "kind": 5, "label": "_sa_registry", "sortText": "2.9999._sa_registry"}, {"detail": "def __bool__(self: NoneType) -> Literal[False]: ...", "documentation": {"kind": "markdown", "value": "True if self else False"}, "kind": 2, "label": "__bool__", "sortText": "3.9999.__bool__"}, {"detail": "((self: NoneType) -> None) | ((\n    self: User,\n    **kw: Any\n) -> None)", "kind": 5, "label": "__init__", "sortText": "3.9999.__init__"}, {"detail": "((cls: type[NoneType]) -> None) | ((\n    cls: type[User],\n    **kw: Any\n) -> None)", "kind": 5, "label": "__init_subclass__", "sortText": "3.9999.__init_subclass__"}, {"detail": "Mapper[Any]", "kind": 5, "label": "__mapper__", "sortText": "3.9999.__mapper__"}, {"detail": "Any", "kind": 5, "label": "__mapper_args__", "sortText": "3.9999.__mapper_args__"}, {"detail": "str", "kind": 5, "label": "__name__", "sortText": "3.9999.__name__"}, {"detail": "tuple[()]", "kind": 5, "label": "__slots__", "sortText": "3.9999.__slots__"}, {"detail": "FromClause", "kind": 5, "label": "__table__", "sortText": "3.9999.__table__"}, {"detail": "Any", "kind": 5, "label": "__table_args__", "sortText": "3.9999.__table_args__"}, {"detail": "Any", "kind": 5, "label": "__tablename__", "sortText": "3.9999.__tablename__"}]}}
 {"suite": "sqlalchemy", "label": "edit query then complete (edit+completion)", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 51, "iteration": 3, "result": {"isIncomplete": false, "items": [{"detail": "int", "kind": 5, "label": "id", "sortText": "0.9999.id"}, {"detail": "MetaData", "kind": 5, "label": "metadata", "sortText": "0.9999.metadata"}, {"detail": "str", "kind": 5, "label": "name", "sortText": "0.9999.name"}, {"detail": "registry", "kind": 5, "label": "registry", "sortText": "0.9999.registry"}, {"detail": "def _sa_inspect_instance(self: User) -> InstanceState[User]: ...", "kind": 2, "label": "_sa_inspect_instance", "sortText": "2.9999._sa_inspect_instance"}, {"detail": "def _sa_inspect_type(self: User) -> Mapper[User]: ...", "kind": 2, "label": "_sa_inspect_type", "sortText": "2.9999._sa_inspect_type"}, {"detail": "registry", "kind": 5, "label": "_sa_registry", "sortText": "2.9999._sa_registry"}, {"detail": "def __bool__(self: NoneType) -> Literal[False]: ...", "documentation": {"kind": "markdown", "value": "True if self else False"}, "kind": 2, "label": "__bool__", "sortText": "3.9999.__bool__"}, {"detail": "((self: NoneType) -> None) | ((\n    self: User,\n    **kw: Any\n) -> None)", "kind": 5, "label": "__init__", "sortText": "3.9999.__init__"}, {"detail": "((cls: type[NoneType]) -> None) | ((\n    cls: type[User],\n    **kw: Any\n) -> None)", "kind": 5, "label": "__init_subclass__", "sortText": "3.9999.__init_subclass__"}, {"detail": "Mapper[Any]", "kind": 5, "label": "__mapper__", "sortText": "3.9999.__mapper__"}, {"detail": "Any", "kind": 5, "label": "__mapper_args__", "sortText": "3.9999.__mapper_args__"}, {"detail": "str", "kind": 5, "label": "__name__", "sortText": "3.9999.__name__"}, {"detail": "tuple[()]", "kind": 5, "label": "__slots__", "sortText": "3.9999.__slots__"}, {"detail": "FromClause", "kind": 5, "label": "__table__", "sortText": "3.9999.__table__"}, {"detail": "Any", "kind": 5, "label": "__table_args__", "sortText": "3.9999.__table_args__"}, {"detail": "Any", "kind": 5, "label": "__tablename__", "sortText": "3.9999.__tablename__"}]}}
 {"suite": "sqlalchemy", "label": "edit query then complete (edit+completion)", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 51, "iteration": 4, "result": {"isIncomplete": false, "items": [{"detail": "int", "kind": 5, "label": "id", "sortText": "0.9999.id"}, {"detail": "MetaData", "kind": 5, "label": "metadata", "sortText": "0.9999.metadata"}, {"detail": "str", "kind": 5, "label": "name", "sortText": "0.9999.name"}, {"detail": "registry", "kind": 5, "label": "registry", "sortText": "0.9999.registry"}, {"detail": "def _sa_inspect_instance(self: User) -> InstanceState[User]: ...", "kind": 2, "label": "_sa_inspect_instance", "sortText": "2.9999._sa_inspect_instance"}, {"detail": "def _sa_inspect_type(self: User) -> Mapper[User]: ...", "kind": 2, "label": "_sa_inspect_type", "sortText": "2.9999._sa_inspect_type"}, {"detail": "registry", "kind": 5, "label": "_sa_registry", "sortText": "2.9999._sa_registry"}, {"detail": "def __bool__(self: NoneType) -> Literal[False]: ...", "documentation": {"kind": "markdown", "value": "True if self else False"}, "kind": 2, "label": "__bool__", "sortText": "3.9999.__bool__"}, {"detail": "((self: NoneType) -> None) | ((\n    self: User,\n    **kw: Any\n) -> None)", "kind": 5, "label": "__init__", "sortText": "3.9999.__init__"}, {"detail": "((cls: type[NoneType]) -> None) | ((\n    cls: type[User],\n    **kw: Any\n) -> None)", "kind": 5, "label": "__init_subclass__", "sortText": "3.9999.__init_subclass__"}, {"detail": "Mapper[Any]", "kind": 5, "label": "__mapper__", "sortText": "3.9999.__mapper__"}, {"detail": "Any", "kind": 5, "label": "__mapper_args__", "sortText": "3.9999.__mapper_args__"}, {"detail": "str", "kind": 5, "label": "__name__", "sortText": "3.9999.__name__"}, {"detail": "tuple[()]", "kind": 5, "label": "__slots__", "sortText": "3.9999.__slots__"}, {"detail": "FromClause", "kind": 5, "label": "__table__", "sortText": "3.9999.__table__"}, {"detail": "Any", "kind": 5, "label": "__table_args__", "sortText": "3.9999.__table_args__"}, {"detail": "Any", "kind": 5, "label": "__tablename__", "sortText": "3.9999.__tablename__"}]}}
 {"suite": "sqlalchemy", "label": "edit query then complete (edit+completion)", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 51, "iteration": 5, "result": {"isIncomplete": false, "items": [{"detail": "int", "kind": 5, "label": "id", "sortText": "0.9999.id"}, {"detail": "MetaData", "kind": 5, "label": "metadata", "sortText": "0.9999.metadata"}, {"detail": "str", "kind": 5, "label": "name", "sortText": "0.9999.name"}, {"detail": "registry", "kind": 5, "label": "registry", "sortText": "0.9999.registry"}, {"detail": "def _sa_inspect_instance(self: User) -> InstanceState[User]: ...", "kind": 2, "label": "_sa_inspect_instance", "sortText": "2.9999._sa_inspect_instance"}, {"detail": "def _sa_inspect_type(self: User) -> Mapper[User]: ...", "kind": 2, "label": "_sa_inspect_type", "sortText": "2.9999._sa_inspect_type"}, {"detail": "registry", "kind": 5, "label": "_sa_registry", "sortText": "2.9999._sa_registry"}, {"detail": "def __bool__(self: NoneType) -> Literal[False]: ...", "documentation": {"kind": "markdown", "value": "True if self else False"}, "kind": 2, "label": "__bool__", "sortText": "3.9999.__bool__"}, {"detail": "((self: NoneType) -> None) | ((\n    self: User,\n    **kw: Any\n) -> None)", "kind": 5, "label": "__init__", "sortText": "3.9999.__init__"}, {"detail": "((cls: type[NoneType]) -> None) | ((\n    cls: type[User],\n    **kw: Any\n) -> None)", "kind": 5, "label": "__init_subclass__", "sortText": "3.9999.__init_subclass__"}, {"detail": "Mapper[Any]", "kind": 5, "label": "__mapper__", "sortText": "3.9999.__mapper__"}, {"detail": "Any", "kind": 5, "label": "__mapper_args__", "sortText": "3.9999.__mapper_args__"}, {"detail": "str", "kind": 5, "label": "__name__", "sortText": "3.9999.__name__"}, {"detail": "tuple[()]", "kind": 5, "label": "__slots__", "sortText": "3.9999.__slots__"}, {"detail": "FromClause", "kind": 5, "label": "__table__", "sortText": "3.9999.__table__"}, {"detail": "Any", "kind": 5, "label": "__table_args__", "sortText": "3.9999.__table_args__"}, {"detail": "Any", "kind": 5, "label": "__tablename__", "sortText": "3.9999.__tablename__"}]}}
-{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 1, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(method) scalars: [_T: Any](\n    self             : Session,\n    statement        : TypedReturnsRows[tuple[_T]],\n    params           : Mapping[str, Any] | Sequence[Mapping[str, Any]] | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter                             = ...,\n    bind_arguments   : dict[str, Any] | None                                  = None,\n    **kw             : Any\n) -> ScalarResult[_T]\n```\n---\nExecute a statement and return the results as scalars.  \n  \nUsage and parameters are the same as that of  \n`_orm.Session.execute`; the return result is a  \n`_result.ScalarResult` filtering object which  \nwill return single elements rather than `_row.Row` objects.  \n  \n:return:  a `_result.ScalarResult` object  \n  \n.. versionadded:: 1.4.24 Added `_orm.Session.scalars`  \n  \n.. versionadded:: 1.4.26 Added `_orm.scoped_session.scalars`  \n  \n.. seealso:  \n  \n```  \n`orm_queryguide_select_orm_entities` - contrasts the behavior  \nof `_orm.Session.execute` to `_orm.Session.scalars`  \n  \n  \n```\n\nGo to [Session](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py#L1458,7) | [TypedReturnsRows](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/selectable.py#L295,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [Sequence](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L718,7) | [_OrmKnownExecutionOptions](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/_typing.py#L89,7) | [immutabledict](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/util/_py_collections.py#L85,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ScalarResult](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/engine/result.py#L1741,7)"}}}
-{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 2, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(method) scalars: [_T: Any](\n    self             : Session,\n    statement        : TypedReturnsRows[tuple[_T]],\n    params           : Mapping[str, Any] | Sequence[Mapping[str, Any]] | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter                             = ...,\n    bind_arguments   : dict[str, Any] | None                                  = None,\n    **kw             : Any\n) -> ScalarResult[_T]\n```\n---\nExecute a statement and return the results as scalars.  \n  \nUsage and parameters are the same as that of  \n`_orm.Session.execute`; the return result is a  \n`_result.ScalarResult` filtering object which  \nwill return single elements rather than `_row.Row` objects.  \n  \n:return:  a `_result.ScalarResult` object  \n  \n.. versionadded:: 1.4.24 Added `_orm.Session.scalars`  \n  \n.. versionadded:: 1.4.26 Added `_orm.scoped_session.scalars`  \n  \n.. seealso:  \n  \n```  \n`orm_queryguide_select_orm_entities` - contrasts the behavior  \nof `_orm.Session.execute` to `_orm.Session.scalars`  \n  \n  \n```\n\nGo to [Session](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py#L1458,7) | [TypedReturnsRows](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/selectable.py#L295,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [Sequence](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L718,7) | [_OrmKnownExecutionOptions](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/_typing.py#L89,7) | [immutabledict](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/util/_py_collections.py#L85,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ScalarResult](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/engine/result.py#L1741,7)"}}}
-{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 3, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(method) scalars: [_T: Any](\n    self             : Session,\n    statement        : TypedReturnsRows[tuple[_T]],\n    params           : Mapping[str, Any] | Sequence[Mapping[str, Any]] | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter                             = ...,\n    bind_arguments   : dict[str, Any] | None                                  = None,\n    **kw             : Any\n) -> ScalarResult[_T]\n```\n---\nExecute a statement and return the results as scalars.  \n  \nUsage and parameters are the same as that of  \n`_orm.Session.execute`; the return result is a  \n`_result.ScalarResult` filtering object which  \nwill return single elements rather than `_row.Row` objects.  \n  \n:return:  a `_result.ScalarResult` object  \n  \n.. versionadded:: 1.4.24 Added `_orm.Session.scalars`  \n  \n.. versionadded:: 1.4.26 Added `_orm.scoped_session.scalars`  \n  \n.. seealso:  \n  \n```  \n`orm_queryguide_select_orm_entities` - contrasts the behavior  \nof `_orm.Session.execute` to `_orm.Session.scalars`  \n  \n  \n```\n\nGo to [Session](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py#L1458,7) | [TypedReturnsRows](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/selectable.py#L295,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [Sequence](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L718,7) | [_OrmKnownExecutionOptions](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/_typing.py#L89,7) | [immutabledict](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/util/_py_collections.py#L85,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ScalarResult](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/engine/result.py#L1741,7)"}}}
-{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 4, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(method) scalars: [_T: Any](\n    self             : Session,\n    statement        : TypedReturnsRows[tuple[_T]],\n    params           : Mapping[str, Any] | Sequence[Mapping[str, Any]] | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter                             = ...,\n    bind_arguments   : dict[str, Any] | None                                  = None,\n    **kw             : Any\n) -> ScalarResult[_T]\n```\n---\nExecute a statement and return the results as scalars.  \n  \nUsage and parameters are the same as that of  \n`_orm.Session.execute`; the return result is a  \n`_result.ScalarResult` filtering object which  \nwill return single elements rather than `_row.Row` objects.  \n  \n:return:  a `_result.ScalarResult` object  \n  \n.. versionadded:: 1.4.24 Added `_orm.Session.scalars`  \n  \n.. versionadded:: 1.4.26 Added `_orm.scoped_session.scalars`  \n  \n.. seealso:  \n  \n```  \n`orm_queryguide_select_orm_entities` - contrasts the behavior  \nof `_orm.Session.execute` to `_orm.Session.scalars`  \n  \n  \n```\n\nGo to [Session](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py#L1458,7) | [TypedReturnsRows](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/selectable.py#L295,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [Sequence](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L718,7) | [_OrmKnownExecutionOptions](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/_typing.py#L89,7) | [immutabledict](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/util/_py_collections.py#L85,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ScalarResult](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/engine/result.py#L1741,7)"}}}
-{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 5, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(method) scalars: [_T: Any](\n    self             : Session,\n    statement        : TypedReturnsRows[tuple[_T]],\n    params           : Mapping[str, Any] | Sequence[Mapping[str, Any]] | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter                             = ...,\n    bind_arguments   : dict[str, Any] | None                                  = None,\n    **kw             : Any\n) -> ScalarResult[_T]\n```\n---\nExecute a statement and return the results as scalars.  \n  \nUsage and parameters are the same as that of  \n`_orm.Session.execute`; the return result is a  \n`_result.ScalarResult` filtering object which  \nwill return single elements rather than `_row.Row` objects.  \n  \n:return:  a `_result.ScalarResult` object  \n  \n.. versionadded:: 1.4.24 Added `_orm.Session.scalars`  \n  \n.. versionadded:: 1.4.26 Added `_orm.scoped_session.scalars`  \n  \n.. seealso:  \n  \n```  \n`orm_queryguide_select_orm_entities` - contrasts the behavior  \nof `_orm.Session.execute` to `_orm.Session.scalars`  \n  \n  \n```\n\nGo to [Session](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py#L1458,7) | [TypedReturnsRows](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/selectable.py#L295,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [Sequence](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L718,7) | [_OrmKnownExecutionOptions](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/_typing.py#L89,7) | [immutabledict](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/util/_py_collections.py#L85,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ScalarResult](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/engine/result.py#L1741,7)"}}}
+{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 1, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(method) scalars: [_T: Any](\n    self             : Session,\n    statement        : TypedReturnsRows[_T],\n    params           : Mapping[str, Any] | Sequence[Mapping[str, Any]] | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter                             = ...,\n    bind_arguments   : dict[str, Any] | None                                  = None,\n    **kw             : Any\n) -> ScalarResult[_T]\n```\n---\nExecute a statement and return the results as scalars.  \n  \nUsage and parameters are the same as that of  \n`_orm.Session.execute`; the return result is a  \n`_result.ScalarResult` filtering object which  \nwill return single elements rather than `_row.Row` objects.  \n  \n:return:  a `_result.ScalarResult` object  \n  \n.. versionadded:: 1.4.24 Added `_orm.Session.scalars`  \n  \n.. versionadded:: 1.4.26 Added `_orm.scoped_session.scalars`  \n  \n.. seealso:  \n  \n```  \n`orm_queryguide_select_orm_entities` - contrasts the behavior  \nof `_orm.Session.execute` to `_orm.Session.scalars`  \n  \n  \n```\n\nGo to [Session](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py#L1472,7) | [TypedReturnsRows](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/selectable.py#L311,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [Sequence](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L718,7) | [_OrmKnownExecutionOptions](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/_typing.py#L86,7) | [immutabledict](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/util/_immutabledict_cy.py#L110,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ScalarResult](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/engine/result.py#L1293,7)"}}}
+{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 2, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(method) scalars: [_T: Any](\n    self             : Session,\n    statement        : TypedReturnsRows[_T],\n    params           : Mapping[str, Any] | Sequence[Mapping[str, Any]] | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter                             = ...,\n    bind_arguments   : dict[str, Any] | None                                  = None,\n    **kw             : Any\n) -> ScalarResult[_T]\n```\n---\nExecute a statement and return the results as scalars.  \n  \nUsage and parameters are the same as that of  \n`_orm.Session.execute`; the return result is a  \n`_result.ScalarResult` filtering object which  \nwill return single elements rather than `_row.Row` objects.  \n  \n:return:  a `_result.ScalarResult` object  \n  \n.. versionadded:: 1.4.24 Added `_orm.Session.scalars`  \n  \n.. versionadded:: 1.4.26 Added `_orm.scoped_session.scalars`  \n  \n.. seealso:  \n  \n```  \n`orm_queryguide_select_orm_entities` - contrasts the behavior  \nof `_orm.Session.execute` to `_orm.Session.scalars`  \n  \n  \n```\n\nGo to [Session](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py#L1472,7) | [TypedReturnsRows](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/selectable.py#L311,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [Sequence](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L718,7) | [_OrmKnownExecutionOptions](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/_typing.py#L86,7) | [immutabledict](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/util/_immutabledict_cy.py#L110,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ScalarResult](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/engine/result.py#L1293,7)"}}}
+{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 3, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(method) scalars: [_T: Any](\n    self             : Session,\n    statement        : TypedReturnsRows[_T],\n    params           : Mapping[str, Any] | Sequence[Mapping[str, Any]] | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter                             = ...,\n    bind_arguments   : dict[str, Any] | None                                  = None,\n    **kw             : Any\n) -> ScalarResult[_T]\n```\n---\nExecute a statement and return the results as scalars.  \n  \nUsage and parameters are the same as that of  \n`_orm.Session.execute`; the return result is a  \n`_result.ScalarResult` filtering object which  \nwill return single elements rather than `_row.Row` objects.  \n  \n:return:  a `_result.ScalarResult` object  \n  \n.. versionadded:: 1.4.24 Added `_orm.Session.scalars`  \n  \n.. versionadded:: 1.4.26 Added `_orm.scoped_session.scalars`  \n  \n.. seealso:  \n  \n```  \n`orm_queryguide_select_orm_entities` - contrasts the behavior  \nof `_orm.Session.execute` to `_orm.Session.scalars`  \n  \n  \n```\n\nGo to [Session](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py#L1472,7) | [TypedReturnsRows](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/selectable.py#L311,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [Sequence](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L718,7) | [_OrmKnownExecutionOptions](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/_typing.py#L86,7) | [immutabledict](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/util/_immutabledict_cy.py#L110,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ScalarResult](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/engine/result.py#L1293,7)"}}}
+{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 4, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(method) scalars: [_T: Any](\n    self             : Session,\n    statement        : TypedReturnsRows[_T],\n    params           : Mapping[str, Any] | Sequence[Mapping[str, Any]] | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter                             = ...,\n    bind_arguments   : dict[str, Any] | None                                  = None,\n    **kw             : Any\n) -> ScalarResult[_T]\n```\n---\nExecute a statement and return the results as scalars.  \n  \nUsage and parameters are the same as that of  \n`_orm.Session.execute`; the return result is a  \n`_result.ScalarResult` filtering object which  \nwill return single elements rather than `_row.Row` objects.  \n  \n:return:  a `_result.ScalarResult` object  \n  \n.. versionadded:: 1.4.24 Added `_orm.Session.scalars`  \n  \n.. versionadded:: 1.4.26 Added `_orm.scoped_session.scalars`  \n  \n.. seealso:  \n  \n```  \n`orm_queryguide_select_orm_entities` - contrasts the behavior  \nof `_orm.Session.execute` to `_orm.Session.scalars`  \n  \n  \n```\n\nGo to [Session](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py#L1472,7) | [TypedReturnsRows](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/selectable.py#L311,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [Sequence](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L718,7) | [_OrmKnownExecutionOptions](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/_typing.py#L86,7) | [immutabledict](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/util/_immutabledict_cy.py#L110,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ScalarResult](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/engine/result.py#L1293,7)"}}}
+{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 5, "result": {"canIncreaseVerbosity": true, "contents": {"kind": "markdown", "value": "```python\n(method) scalars: [_T: Any](\n    self             : Session,\n    statement        : TypedReturnsRows[_T],\n    params           : Mapping[str, Any] | Sequence[Mapping[str, Any]] | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter                             = ...,\n    bind_arguments   : dict[str, Any] | None                                  = None,\n    **kw             : Any\n) -> ScalarResult[_T]\n```\n---\nExecute a statement and return the results as scalars.  \n  \nUsage and parameters are the same as that of  \n`_orm.Session.execute`; the return result is a  \n`_result.ScalarResult` filtering object which  \nwill return single elements rather than `_row.Row` objects.  \n  \n:return:  a `_result.ScalarResult` object  \n  \n.. versionadded:: 1.4.24 Added `_orm.Session.scalars`  \n  \n.. versionadded:: 1.4.26 Added `_orm.scoped_session.scalars`  \n  \n.. seealso:  \n  \n```  \n`orm_queryguide_select_orm_entities` - contrasts the behavior  \nof `_orm.Session.execute` to `_orm.Session.scalars`  \n  \n  \n```\n\nGo to [Session](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/session.py#L1472,7) | [TypedReturnsRows](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/sql/selectable.py#L311,7) | [str](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L1033,7) | [Mapping](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L862,7) | [Sequence](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/typing.pyi#L718,7) | [_OrmKnownExecutionOptions](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/orm/_typing.py#L86,7) | [immutabledict](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/util/_immutabledict_cy.py#L110,7) | [dict](file:///tmp/pyrefly_bundled_typeshed_2e94b8840ea5/builtins.pyi#L3627,7) | [ScalarResult](file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/.venv/lib/python3.12/site-packages/sqlalchemy/engine/result.py#L1293,7)"}}}
 {"suite": "transformers", "label": "classifier pipeline completion", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/transformers/src/inference.py", "line": 15, "character": 19, "iteration": 1, "result": {"isIncomplete": true, "items": [{"kind": 14, "label": "False", "sortText": "0.9999.False"}, {"kind": 14, "label": "None", "sortText": "0.9999.None"}, {"kind": 14, "label": "True", "sortText": "0.9999.True"}, {"kind": 14, "label": "and", "sortText": "0.9999.and"}, {"kind": 14, "label": "await", "sortText": "0.9999.await"}, {"detail": "Unknown", "kind": 6, "label": "classifier", "sortText": "0.9999.classifier"}, {"kind": 14, "label": "else", "sortText": "0.9999.else"}, {"kind": 14, "label": "for", "sortText": "0.9999.for"}, {"kind": 14, "label": "if", "sortText": "0.9999.if"}, {"kind": 14, "label": "in", "sortText": "0.9999.in"}, {"kind": 14, "label": "is", "sortText": "0.9999.is"}, {"kind": 14, "label": "lambda", "sortText": "0.9999.lambda"}, {"kind": 14, "label": "not", "sortText": "0.9999.not"}, {"kind": 14, "label": "or", "sortText": "0.9999.or"}, {"kind": 14, "label": "yield", "sortText": "0.9999.yield"}]}}
 {"suite": "transformers", "label": "classifier pipeline completion", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/transformers/src/inference.py", "line": 15, "character": 19, "iteration": 2, "result": {"isIncomplete": true, "items": [{"kind": 14, "label": "False", "sortText": "0.9999.False"}, {"kind": 14, "label": "None", "sortText": "0.9999.None"}, {"kind": 14, "label": "True", "sortText": "0.9999.True"}, {"kind": 14, "label": "and", "sortText": "0.9999.and"}, {"kind": 14, "label": "await", "sortText": "0.9999.await"}, {"detail": "Unknown", "kind": 6, "label": "classifier", "sortText": "0.9999.classifier"}, {"kind": 14, "label": "else", "sortText": "0.9999.else"}, {"kind": 14, "label": "for", "sortText": "0.9999.for"}, {"kind": 14, "label": "if", "sortText": "0.9999.if"}, {"kind": 14, "label": "in", "sortText": "0.9999.in"}, {"kind": 14, "label": "is", "sortText": "0.9999.is"}, {"kind": 14, "label": "lambda", "sortText": "0.9999.lambda"}, {"kind": 14, "label": "not", "sortText": "0.9999.not"}, {"kind": 14, "label": "or", "sortText": "0.9999.or"}, {"kind": 14, "label": "yield", "sortText": "0.9999.yield"}]}}
 {"suite": "transformers", "label": "classifier pipeline completion", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/transformers/src/inference.py", "line": 15, "character": 19, "iteration": 3, "result": {"isIncomplete": true, "items": [{"kind": 14, "label": "False", "sortText": "0.9999.False"}, {"kind": 14, "label": "None", "sortText": "0.9999.None"}, {"kind": 14, "label": "True", "sortText": "0.9999.True"}, {"kind": 14, "label": "and", "sortText": "0.9999.and"}, {"kind": 14, "label": "await", "sortText": "0.9999.await"}, {"detail": "Unknown", "kind": 6, "label": "classifier", "sortText": "0.9999.classifier"}, {"kind": 14, "label": "else", "sortText": "0.9999.else"}, {"kind": 14, "label": "for", "sortText": "0.9999.for"}, {"kind": 14, "label": "if", "sortText": "0.9999.if"}, {"kind": 14, "label": "in", "sortText": "0.9999.in"}, {"kind": 14, "label": "is", "sortText": "0.9999.is"}, {"kind": 14, "label": "lambda", "sortText": "0.9999.lambda"}, {"kind": 14, "label": "not", "sortText": "0.9999.not"}, {"kind": 14, "label": "or", "sortText": "0.9999.or"}, {"kind": 14, "label": "yield", "sortText": "0.9999.yield"}]}}
@@ -128,36 +128,36 @@
 {"suite": "tsp_core", "label": "builtins semantic tokens", "method": "typeServer/semanticTokens", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/tsp_core/src/builtins_basic.py", "line": 0, "character": 0, "iteration": 3, "result": {"data": [0, 0, 5, 10, 1, 0, 5, 1, 2, 0, 0, 2, 3, 5, 0, 0, 4, 1, 2, 0, 0, 2, 1, 4, 0, 1, 0, 4, 10, 1, 0, 4, 1, 2, 0, 0, 2, 3, 5, 0, 0, 4, 1, 2, 0, 0, 2, 8, 3, 0, 1, 0, 5, 10, 1, 0, 5, 1, 2, 0, 0, 2, 4, 5, 0, 0, 4, 1, 2, 0, 0, 1, 3, 5, 0, 0, 3, 1, 2, 0, 0, 2, 1, 2, 0, 0, 2, 1, 2, 0, 0, 1, 1, 4, 0, 0, 1, 1, 2, 0, 0, 2, 1, 4, 0, 0, 1, 1, 2, 0, 0, 2, 1, 4, 0, 0, 1, 1, 2, 0, 1, 0, 6, 10, 1, 0, 7, 1, 2, 0, 0, 2, 3, 7, 2048, 0, 3, 1, 2, 0, 0, 1, 5, 10, 0, 0, 5, 1, 2, 0], "semantic_token_count": 30, "type_query_count": 2, "type_query_failure_count": 0, "token_type_counts": {"function": 1, "number": 4, "operator": 15, "string": 1, "type": 4, "variable": 5}, "legend": {"tokenTypes": ["comment", "keyword", "operator", "string", "number", "type", "class", "function", "method", "property", "variable", "parameter", "module", "selfParameter", "clsParameter", "builtinConstant"]}}}
 {"suite": "tsp_core", "label": "builtins semantic tokens", "method": "typeServer/semanticTokens", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/tsp_core/src/builtins_basic.py", "line": 0, "character": 0, "iteration": 4, "result": {"data": [0, 0, 5, 10, 1, 0, 5, 1, 2, 0, 0, 2, 3, 5, 0, 0, 4, 1, 2, 0, 0, 2, 1, 4, 0, 1, 0, 4, 10, 1, 0, 4, 1, 2, 0, 0, 2, 3, 5, 0, 0, 4, 1, 2, 0, 0, 2, 8, 3, 0, 1, 0, 5, 10, 1, 0, 5, 1, 2, 0, 0, 2, 4, 5, 0, 0, 4, 1, 2, 0, 0, 1, 3, 5, 0, 0, 3, 1, 2, 0, 0, 2, 1, 2, 0, 0, 2, 1, 2, 0, 0, 1, 1, 4, 0, 0, 1, 1, 2, 0, 0, 2, 1, 4, 0, 0, 1, 1, 2, 0, 0, 2, 1, 4, 0, 0, 1, 1, 2, 0, 1, 0, 6, 10, 1, 0, 7, 1, 2, 0, 0, 2, 3, 7, 2048, 0, 3, 1, 2, 0, 0, 1, 5, 10, 0, 0, 5, 1, 2, 0], "semantic_token_count": 30, "type_query_count": 2, "type_query_failure_count": 0, "token_type_counts": {"function": 1, "number": 4, "operator": 15, "string": 1, "type": 4, "variable": 5}, "legend": {"tokenTypes": ["comment", "keyword", "operator", "string", "number", "type", "class", "function", "method", "property", "variable", "parameter", "module", "selfParameter", "clsParameter", "builtinConstant"]}}}
 {"suite": "tsp_core", "label": "builtins semantic tokens", "method": "typeServer/semanticTokens", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/tsp_core/src/builtins_basic.py", "line": 0, "character": 0, "iteration": 5, "result": {"data": [0, 0, 5, 10, 1, 0, 5, 1, 2, 0, 0, 2, 3, 5, 0, 0, 4, 1, 2, 0, 0, 2, 1, 4, 0, 1, 0, 4, 10, 1, 0, 4, 1, 2, 0, 0, 2, 3, 5, 0, 0, 4, 1, 2, 0, 0, 2, 8, 3, 0, 1, 0, 5, 10, 1, 0, 5, 1, 2, 0, 0, 2, 4, 5, 0, 0, 4, 1, 2, 0, 0, 1, 3, 5, 0, 0, 3, 1, 2, 0, 0, 2, 1, 2, 0, 0, 2, 1, 2, 0, 0, 1, 1, 4, 0, 0, 1, 1, 2, 0, 0, 2, 1, 4, 0, 0, 1, 1, 2, 0, 0, 2, 1, 4, 0, 0, 1, 1, 2, 0, 1, 0, 6, 10, 1, 0, 7, 1, 2, 0, 0, 2, 3, 7, 2048, 0, 3, 1, 2, 0, 0, 1, 5, 10, 0, 0, 5, 1, 2, 0], "semantic_token_count": 30, "type_query_count": 2, "type_query_failure_count": 0, "token_type_counts": {"function": 1, "number": 4, "operator": 15, "string": 1, "type": 4, "variable": 5}, "legend": {"tokenTypes": ["comment", "keyword", "operator", "string", "number", "type", "class", "function", "method", "property", "variable", "parameter", "module", "selfParameter", "clsParameter", "builtinConstant"]}}}
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diff --git a/latest-results/pyright-20260924T060612Z-responses.jsonl b/latest-results/pyright-20260925T060552Z-responses.jsonl
similarity index 97%
rename from latest-results/pyright-20260924T060612Z-responses.jsonl
rename to latest-results/pyright-20260925T060552Z-responses.jsonl
index 63cc562..063d766 100644
--- a/latest-results/pyright-20260924T060612Z-responses.jsonl
+++ b/latest-results/pyright-20260925T060552Z-responses.jsonl
@@ -78,26 +78,26 @@
 {"suite": "sqlalchemy", "label": "query completion", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 22, "iteration": 3, "result": {"items": [{"label": "SessionLocal", "kind": 6, "sortText": "12.9999.SessionLocal", "data": {"uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "position": {"line": 16, "character": 22}, "funcParensDisabled": true, "symbolLabel": "SessionLocal"}}], "isIncomplete": true}}
 {"suite": "sqlalchemy", "label": "query completion", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 22, "iteration": 4, "result": {"items": [{"label": "SessionLocal", "kind": 6, "sortText": "12.9999.SessionLocal", "data": {"uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "position": {"line": 16, "character": 22}, "funcParensDisabled": true, "symbolLabel": "SessionLocal"}}], "isIncomplete": true}}
 {"suite": "sqlalchemy", "label": "query completion", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 22, "iteration": 5, "result": {"items": [{"label": "SessionLocal", "kind": 6, "sortText": "12.9999.SessionLocal", "data": {"uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "position": {"line": 16, "character": 22}, "funcParensDisabled": true, "symbolLabel": "SessionLocal"}}], "isIncomplete": true}}
-{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 1, "result": {"contents": {"kind": "plaintext", "value": "(function) def mapped_column(\n    __name_pos: _TypeEngineArgument[Any] | str | SchemaEventTarget | None = None,\n    __type_pos: _TypeEngineArgument[Any] | SchemaEventTarget | None = None,\n    *args: SchemaEventTarget,\n    init: _NoArg | bool = _NoArg.NO_ARG,\n    repr: _NoArg | bool = _NoArg.NO_ARG,\n    default: Any | None = _NoArg.NO_ARG,\n    default_factory: _NoArg | (() -> _T@mapped_column) = _NoArg.NO_ARG,\n    compare: _NoArg | bool = _NoArg.NO_ARG,\n    kw_only: _NoArg | bool = _NoArg.NO_ARG,\n    hash: _NoArg | bool | None = _NoArg.NO_ARG,\n    nullable: bool | Literal[SchemaConst.NULL_UNSPECIFIED] | None = SchemaConst.NULL_UNSPECIFIED,\n    primary_key: bool | None = False,\n    deferred: _NoArg | bool = _NoArg.NO_ARG,\n    deferred_group: str | None = None,\n    deferred_raiseload: bool | None = None,\n    use_existing_column: bool = False,\n    name: str | None = None,\n    type_: _TypeEngineArgument[Any] | None = None,\n    autoincrement: _AutoIncrementType = \"auto\",\n    doc: str | None = None,\n    key: str | None = None,\n    index: bool | None = None,\n    unique: bool | None = None,\n    info: _InfoType | None = None,\n    onupdate: Any | None = None,\n    insert_default: Any | None = _NoArg.NO_ARG,\n    server_default: _ServerDefaultArgument | None = None,\n    server_onupdate: _ServerOnUpdateArgument | None = None,\n    active_history: bool = False,\n    quote: bool | None = None,\n    system: bool = False,\n    comment: str | None = None,\n    sort_order: _NoArg | int = _NoArg.NO_ARG,\n    dataclass_metadata: _NoArg | Mapping[Any, Any] | None = _NoArg.NO_ARG,\n    **kw: Any\n) -> MappedColumn[Any]\n\ndeclare a new ORM-mapped :class:`_schema.Column` construct\nfor use within :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\nThe :func:`_orm.mapped_column` function provides an ORM-aware and\nPython-typing-compatible construct which is used with\n:ref:`declarative <orm_declarative_mapping>` mappings to indicate an\nattribute that's mapped to a Core :class:`_schema.Column` object.  It\nprovides the equivalent feature as mapping an attribute to a\n:class:`_schema.Column` object directly when using Declarative,\nspecifically when using :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\n.. versionadded:: 2.0\n\n:func:`_orm.mapped_column` is normally used with explicit typing along with\nthe :class:`_orm.Mapped` annotation type, where it can derive the SQL\ntype and nullability for the column based on what's present within the\n:class:`_orm.Mapped` annotation.   It also may be used without annotations\nas a drop-in replacement for how :class:`_schema.Column` is used in\nDeclarative mappings in SQLAlchemy 1.x style.\n\nFor usage examples of :func:`_orm.mapped_column`, see the documentation\nat :ref:`orm_declarative_table`.\n\n.. seealso::\n\n    :ref:`orm_declarative_table` - complete documentation\n\n    :ref:`whatsnew_20_orm_declarative_typing` - migration notes for\n    Declarative mappings using 1.x style mappings\n\n:param __name: String name to give to the :class:`_schema.Column`.  This\n is an optional, positional only argument that if present must be the\n first positional argument passed.  If omitted, the attribute name to\n which the :func:`_orm.mapped_column`  is mapped will be used as the SQL\n column name.\n:param __type: :class:`_types.TypeEngine` type or instance which will\n indicate the datatype to be associated with the :class:`_schema.Column`.\n This is an optional, positional-only argument that if present must\n immediately follow the ``__name`` parameter if present also, or otherwise\n be the first positional parameter.  If omitted, the ultimate type for\n the column may be derived either from the annotated type, or if a\n :class:`_schema.ForeignKey` is present, from the datatype of the\n referenced column.\n:param \\*args: Additional positional arguments include constructs such\n as :class:`_schema.ForeignKey`, :class:`_schema.CheckConstraint`,\n and :class:`_schema.Identity`, which are passed through to the constructed\n :class:`_schema.Column`.\n:param nullable: Optional bool, whether the column should be \"NULL\" or\n \"NOT NULL\". If omitted, the nullability is derived from the type\n annotation based on whether or not ``typing.Optional`` (or its equivalent)\n is present.  ``nullable`` defaults to ``True`` otherwise for non-primary\n key columns, and ``False`` for primary key columns.\n:param primary_key: optional bool, indicates the :class:`_schema.Column`\n would be part of the table's primary key or not.\n:param deferred: Optional bool - this keyword argument is consumed by the\n ORM declarative process, and is not part of the :class:`_schema.Column`\n itself; instead, it indicates that this column should be \"deferred\" for\n loading as though mapped by :func:`_orm.deferred`.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_declarative`\n\n:param deferred_group: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.group` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_group`\n\n:param deferred_raiseload: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.raiseload` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_raiseload`\n\n:param use_existing_column: if True, will attempt to locate the given\n column name on an inherited superclass (typically single inheriting\n superclass), and if present, will not produce a new column, mapping\n to the superclass column as though it were omitted from this class.\n This is used for mixins that add new columns to an inherited superclass.\n\n .. seealso::\n\n    :ref:`orm_inheritance_column_conflicts`\n\n .. versionadded:: 2.0.0b4\n\n:param default: Passed directly to the\n :paramref:`_schema.Column.default` parameter if the\n :paramref:`_orm.mapped_column.insert_default` parameter is not present.\n Additionally, when used with :ref:`orm_declarative_native_dataclasses`,\n indicates a default Python value that should be applied to the keyword\n constructor within the generated ``__init__()`` method.\n\n Note that in the case of dataclass generation when\n :paramref:`_orm.mapped_column.insert_default` is not present, this means\n the :paramref:`_orm.mapped_column.default` value is used in **two**\n places, both the ``__init__()`` method as well as the\n :paramref:`_schema.Column.default` parameter. While this behavior may\n change in a future release, for the moment this tends to \"work out\"; a\n default of ``None`` will mean that the :class:`_schema.Column` gets no\n default generator, whereas a default that refers to a non-``None`` Python\n or SQL expression value will be assigned up front on the object when\n ``__init__()`` is called, which is the same value that the Core\n :class:`_sql.Insert` construct would use in any case, leading to the same\n end result.\n\n .. note:: When using Core level column defaults that are callables to\n    be interpreted by the underlying :class:`_schema.Column` in conjunction\n    with :ref:`ORM-mapped dataclasses\n    <orm_declarative_native_dataclasses>`, especially those that are\n    :ref:`context-aware default functions <context_default_functions>`,\n    **the** :paramref:`_orm.mapped_column.insert_default` **parameter must\n    be used instead**.  This is necessary to disambiguate the callable from\n    being interpreted as a dataclass level default.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param insert_default: Passed directly to the\n :paramref:`_schema.Column.default` parameter; will supersede the value\n of :paramref:`_orm.mapped_column.default` when present, however\n :paramref:`_orm.mapped_column.default` will always apply to the\n constructor default for a dataclasses mapping.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param sort_order: An integer that indicates how this mapped column\n should be sorted compared to the others when the ORM is creating a\n :class:`_schema.Table`. Among mapped columns that have the same\n value the default ordering is used, placing first the mapped columns\n defined in the main class, then the ones in the super classes.\n Defaults to 0. The sort is ascending.\n\n .. versionadded:: 2.0.4\n\n:param active_history=False:\n\n    When ``True``, indicates that the \"previous\" value for a\n    scalar attribute should be loaded when replaced, if not\n    already loaded. Normally, history tracking logic for\n    simple non-primary-key scalar values only needs to be\n    aware of the \"new\" value in order to perform a flush. This\n    flag is available for applications that make use of\n    :func:`.attributes.get_history` or :meth:`.Session.is_modified`\n    which also need to know the \"previous\" value of the attribute.\n\n    .. versionadded:: 2.0.10\n\n:param init: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__init__()``\n method as generated by the dataclass process.\n:param repr: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__repr__()``\n method as generated by the dataclass process.\n:param default_factory: Specific to\n :ref:`orm_declarative_native_dataclasses`,\n specifies a default-value generation function that will take place\n as part of the ``__init__()``\n method as generated by the dataclass process.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n:param compare: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be included in comparison operations when generating the\n ``__eq__()`` and ``__ne__()`` methods for the mapped class.\n\n .. versionadded:: 2.0.0b4\n\n:param kw_only: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be marked as keyword-only when generating the ``__init__()``.\n\n:param hash: Specific to\n :ref:`orm_declarative_native_dataclasses`, controls if this field\n is included when generating the ``__hash__()`` method for the mapped\n class.\n\n .. versionadded:: 2.0.36\n\n:param dataclass_metadata: Specific to\n :ref:`orm_declarative_native_dataclasses`, supplies metadata\n to be attached to the generated dataclass field.\n\n .. versionadded:: 2.0.42\n\n:param \\**kw: All remaining keyword arguments are passed through to the\n constructor for the :class:`_schema.Column`."}, "range": {"start": {"line": 12, "character": 24}, "end": {"line": 12, "character": 37}}}}
-{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 2, "result": {"contents": {"kind": "plaintext", "value": "(function) def mapped_column(\n    __name_pos: _TypeEngineArgument[Any] | str | SchemaEventTarget | None = None,\n    __type_pos: _TypeEngineArgument[Any] | SchemaEventTarget | None = None,\n    *args: SchemaEventTarget,\n    init: _NoArg | bool = _NoArg.NO_ARG,\n    repr: _NoArg | bool = _NoArg.NO_ARG,\n    default: Any | None = _NoArg.NO_ARG,\n    default_factory: _NoArg | (() -> _T@mapped_column) = _NoArg.NO_ARG,\n    compare: _NoArg | bool = _NoArg.NO_ARG,\n    kw_only: _NoArg | bool = _NoArg.NO_ARG,\n    hash: _NoArg | bool | None = _NoArg.NO_ARG,\n    nullable: bool | Literal[SchemaConst.NULL_UNSPECIFIED] | None = SchemaConst.NULL_UNSPECIFIED,\n    primary_key: bool | None = False,\n    deferred: _NoArg | bool = _NoArg.NO_ARG,\n    deferred_group: str | None = None,\n    deferred_raiseload: bool | None = None,\n    use_existing_column: bool = False,\n    name: str | None = None,\n    type_: _TypeEngineArgument[Any] | None = None,\n    autoincrement: _AutoIncrementType = \"auto\",\n    doc: str | None = None,\n    key: str | None = None,\n    index: bool | None = None,\n    unique: bool | None = None,\n    info: _InfoType | None = None,\n    onupdate: Any | None = None,\n    insert_default: Any | None = _NoArg.NO_ARG,\n    server_default: _ServerDefaultArgument | None = None,\n    server_onupdate: _ServerOnUpdateArgument | None = None,\n    active_history: bool = False,\n    quote: bool | None = None,\n    system: bool = False,\n    comment: str | None = None,\n    sort_order: _NoArg | int = _NoArg.NO_ARG,\n    dataclass_metadata: _NoArg | Mapping[Any, Any] | None = _NoArg.NO_ARG,\n    **kw: Any\n) -> MappedColumn[Any]\n\ndeclare a new ORM-mapped :class:`_schema.Column` construct\nfor use within :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\nThe :func:`_orm.mapped_column` function provides an ORM-aware and\nPython-typing-compatible construct which is used with\n:ref:`declarative <orm_declarative_mapping>` mappings to indicate an\nattribute that's mapped to a Core :class:`_schema.Column` object.  It\nprovides the equivalent feature as mapping an attribute to a\n:class:`_schema.Column` object directly when using Declarative,\nspecifically when using :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\n.. versionadded:: 2.0\n\n:func:`_orm.mapped_column` is normally used with explicit typing along with\nthe :class:`_orm.Mapped` annotation type, where it can derive the SQL\ntype and nullability for the column based on what's present within the\n:class:`_orm.Mapped` annotation.   It also may be used without annotations\nas a drop-in replacement for how :class:`_schema.Column` is used in\nDeclarative mappings in SQLAlchemy 1.x style.\n\nFor usage examples of :func:`_orm.mapped_column`, see the documentation\nat :ref:`orm_declarative_table`.\n\n.. seealso::\n\n    :ref:`orm_declarative_table` - complete documentation\n\n    :ref:`whatsnew_20_orm_declarative_typing` - migration notes for\n    Declarative mappings using 1.x style mappings\n\n:param __name: String name to give to the :class:`_schema.Column`.  This\n is an optional, positional only argument that if present must be the\n first positional argument passed.  If omitted, the attribute name to\n which the :func:`_orm.mapped_column`  is mapped will be used as the SQL\n column name.\n:param __type: :class:`_types.TypeEngine` type or instance which will\n indicate the datatype to be associated with the :class:`_schema.Column`.\n This is an optional, positional-only argument that if present must\n immediately follow the ``__name`` parameter if present also, or otherwise\n be the first positional parameter.  If omitted, the ultimate type for\n the column may be derived either from the annotated type, or if a\n :class:`_schema.ForeignKey` is present, from the datatype of the\n referenced column.\n:param \\*args: Additional positional arguments include constructs such\n as :class:`_schema.ForeignKey`, :class:`_schema.CheckConstraint`,\n and :class:`_schema.Identity`, which are passed through to the constructed\n :class:`_schema.Column`.\n:param nullable: Optional bool, whether the column should be \"NULL\" or\n \"NOT NULL\". If omitted, the nullability is derived from the type\n annotation based on whether or not ``typing.Optional`` (or its equivalent)\n is present.  ``nullable`` defaults to ``True`` otherwise for non-primary\n key columns, and ``False`` for primary key columns.\n:param primary_key: optional bool, indicates the :class:`_schema.Column`\n would be part of the table's primary key or not.\n:param deferred: Optional bool - this keyword argument is consumed by the\n ORM declarative process, and is not part of the :class:`_schema.Column`\n itself; instead, it indicates that this column should be \"deferred\" for\n loading as though mapped by :func:`_orm.deferred`.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_declarative`\n\n:param deferred_group: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.group` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_group`\n\n:param deferred_raiseload: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.raiseload` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_raiseload`\n\n:param use_existing_column: if True, will attempt to locate the given\n column name on an inherited superclass (typically single inheriting\n superclass), and if present, will not produce a new column, mapping\n to the superclass column as though it were omitted from this class.\n This is used for mixins that add new columns to an inherited superclass.\n\n .. seealso::\n\n    :ref:`orm_inheritance_column_conflicts`\n\n .. versionadded:: 2.0.0b4\n\n:param default: Passed directly to the\n :paramref:`_schema.Column.default` parameter if the\n :paramref:`_orm.mapped_column.insert_default` parameter is not present.\n Additionally, when used with :ref:`orm_declarative_native_dataclasses`,\n indicates a default Python value that should be applied to the keyword\n constructor within the generated ``__init__()`` method.\n\n Note that in the case of dataclass generation when\n :paramref:`_orm.mapped_column.insert_default` is not present, this means\n the :paramref:`_orm.mapped_column.default` value is used in **two**\n places, both the ``__init__()`` method as well as the\n :paramref:`_schema.Column.default` parameter. While this behavior may\n change in a future release, for the moment this tends to \"work out\"; a\n default of ``None`` will mean that the :class:`_schema.Column` gets no\n default generator, whereas a default that refers to a non-``None`` Python\n or SQL expression value will be assigned up front on the object when\n ``__init__()`` is called, which is the same value that the Core\n :class:`_sql.Insert` construct would use in any case, leading to the same\n end result.\n\n .. note:: When using Core level column defaults that are callables to\n    be interpreted by the underlying :class:`_schema.Column` in conjunction\n    with :ref:`ORM-mapped dataclasses\n    <orm_declarative_native_dataclasses>`, especially those that are\n    :ref:`context-aware default functions <context_default_functions>`,\n    **the** :paramref:`_orm.mapped_column.insert_default` **parameter must\n    be used instead**.  This is necessary to disambiguate the callable from\n    being interpreted as a dataclass level default.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param insert_default: Passed directly to the\n :paramref:`_schema.Column.default` parameter; will supersede the value\n of :paramref:`_orm.mapped_column.default` when present, however\n :paramref:`_orm.mapped_column.default` will always apply to the\n constructor default for a dataclasses mapping.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param sort_order: An integer that indicates how this mapped column\n should be sorted compared to the others when the ORM is creating a\n :class:`_schema.Table`. Among mapped columns that have the same\n value the default ordering is used, placing first the mapped columns\n defined in the main class, then the ones in the super classes.\n Defaults to 0. The sort is ascending.\n\n .. versionadded:: 2.0.4\n\n:param active_history=False:\n\n    When ``True``, indicates that the \"previous\" value for a\n    scalar attribute should be loaded when replaced, if not\n    already loaded. Normally, history tracking logic for\n    simple non-primary-key scalar values only needs to be\n    aware of the \"new\" value in order to perform a flush. This\n    flag is available for applications that make use of\n    :func:`.attributes.get_history` or :meth:`.Session.is_modified`\n    which also need to know the \"previous\" value of the attribute.\n\n    .. versionadded:: 2.0.10\n\n:param init: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__init__()``\n method as generated by the dataclass process.\n:param repr: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__repr__()``\n method as generated by the dataclass process.\n:param default_factory: Specific to\n :ref:`orm_declarative_native_dataclasses`,\n specifies a default-value generation function that will take place\n as part of the ``__init__()``\n method as generated by the dataclass process.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n:param compare: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be included in comparison operations when generating the\n ``__eq__()`` and ``__ne__()`` methods for the mapped class.\n\n .. versionadded:: 2.0.0b4\n\n:param kw_only: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be marked as keyword-only when generating the ``__init__()``.\n\n:param hash: Specific to\n :ref:`orm_declarative_native_dataclasses`, controls if this field\n is included when generating the ``__hash__()`` method for the mapped\n class.\n\n .. versionadded:: 2.0.36\n\n:param dataclass_metadata: Specific to\n :ref:`orm_declarative_native_dataclasses`, supplies metadata\n to be attached to the generated dataclass field.\n\n .. versionadded:: 2.0.42\n\n:param \\**kw: All remaining keyword arguments are passed through to the\n constructor for the :class:`_schema.Column`."}, "range": {"start": {"line": 12, "character": 24}, "end": {"line": 12, "character": 37}}}}
-{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 3, "result": {"contents": {"kind": "plaintext", "value": "(function) def mapped_column(\n    __name_pos: _TypeEngineArgument[Any] | str | SchemaEventTarget | None = None,\n    __type_pos: _TypeEngineArgument[Any] | SchemaEventTarget | None = None,\n    *args: SchemaEventTarget,\n    init: _NoArg | bool = _NoArg.NO_ARG,\n    repr: _NoArg | bool = _NoArg.NO_ARG,\n    default: Any | None = _NoArg.NO_ARG,\n    default_factory: _NoArg | (() -> _T@mapped_column) = _NoArg.NO_ARG,\n    compare: _NoArg | bool = _NoArg.NO_ARG,\n    kw_only: _NoArg | bool = _NoArg.NO_ARG,\n    hash: _NoArg | bool | None = _NoArg.NO_ARG,\n    nullable: bool | Literal[SchemaConst.NULL_UNSPECIFIED] | None = SchemaConst.NULL_UNSPECIFIED,\n    primary_key: bool | None = False,\n    deferred: _NoArg | bool = _NoArg.NO_ARG,\n    deferred_group: str | None = None,\n    deferred_raiseload: bool | None = None,\n    use_existing_column: bool = False,\n    name: str | None = None,\n    type_: _TypeEngineArgument[Any] | None = None,\n    autoincrement: _AutoIncrementType = \"auto\",\n    doc: str | None = None,\n    key: str | None = None,\n    index: bool | None = None,\n    unique: bool | None = None,\n    info: _InfoType | None = None,\n    onupdate: Any | None = None,\n    insert_default: Any | None = _NoArg.NO_ARG,\n    server_default: _ServerDefaultArgument | None = None,\n    server_onupdate: _ServerOnUpdateArgument | None = None,\n    active_history: bool = False,\n    quote: bool | None = None,\n    system: bool = False,\n    comment: str | None = None,\n    sort_order: _NoArg | int = _NoArg.NO_ARG,\n    dataclass_metadata: _NoArg | Mapping[Any, Any] | None = _NoArg.NO_ARG,\n    **kw: Any\n) -> MappedColumn[Any]\n\ndeclare a new ORM-mapped :class:`_schema.Column` construct\nfor use within :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\nThe :func:`_orm.mapped_column` function provides an ORM-aware and\nPython-typing-compatible construct which is used with\n:ref:`declarative <orm_declarative_mapping>` mappings to indicate an\nattribute that's mapped to a Core :class:`_schema.Column` object.  It\nprovides the equivalent feature as mapping an attribute to a\n:class:`_schema.Column` object directly when using Declarative,\nspecifically when using :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\n.. versionadded:: 2.0\n\n:func:`_orm.mapped_column` is normally used with explicit typing along with\nthe :class:`_orm.Mapped` annotation type, where it can derive the SQL\ntype and nullability for the column based on what's present within the\n:class:`_orm.Mapped` annotation.   It also may be used without annotations\nas a drop-in replacement for how :class:`_schema.Column` is used in\nDeclarative mappings in SQLAlchemy 1.x style.\n\nFor usage examples of :func:`_orm.mapped_column`, see the documentation\nat :ref:`orm_declarative_table`.\n\n.. seealso::\n\n    :ref:`orm_declarative_table` - complete documentation\n\n    :ref:`whatsnew_20_orm_declarative_typing` - migration notes for\n    Declarative mappings using 1.x style mappings\n\n:param __name: String name to give to the :class:`_schema.Column`.  This\n is an optional, positional only argument that if present must be the\n first positional argument passed.  If omitted, the attribute name to\n which the :func:`_orm.mapped_column`  is mapped will be used as the SQL\n column name.\n:param __type: :class:`_types.TypeEngine` type or instance which will\n indicate the datatype to be associated with the :class:`_schema.Column`.\n This is an optional, positional-only argument that if present must\n immediately follow the ``__name`` parameter if present also, or otherwise\n be the first positional parameter.  If omitted, the ultimate type for\n the column may be derived either from the annotated type, or if a\n :class:`_schema.ForeignKey` is present, from the datatype of the\n referenced column.\n:param \\*args: Additional positional arguments include constructs such\n as :class:`_schema.ForeignKey`, :class:`_schema.CheckConstraint`,\n and :class:`_schema.Identity`, which are passed through to the constructed\n :class:`_schema.Column`.\n:param nullable: Optional bool, whether the column should be \"NULL\" or\n \"NOT NULL\". If omitted, the nullability is derived from the type\n annotation based on whether or not ``typing.Optional`` (or its equivalent)\n is present.  ``nullable`` defaults to ``True`` otherwise for non-primary\n key columns, and ``False`` for primary key columns.\n:param primary_key: optional bool, indicates the :class:`_schema.Column`\n would be part of the table's primary key or not.\n:param deferred: Optional bool - this keyword argument is consumed by the\n ORM declarative process, and is not part of the :class:`_schema.Column`\n itself; instead, it indicates that this column should be \"deferred\" for\n loading as though mapped by :func:`_orm.deferred`.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_declarative`\n\n:param deferred_group: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.group` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_group`\n\n:param deferred_raiseload: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.raiseload` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_raiseload`\n\n:param use_existing_column: if True, will attempt to locate the given\n column name on an inherited superclass (typically single inheriting\n superclass), and if present, will not produce a new column, mapping\n to the superclass column as though it were omitted from this class.\n This is used for mixins that add new columns to an inherited superclass.\n\n .. seealso::\n\n    :ref:`orm_inheritance_column_conflicts`\n\n .. versionadded:: 2.0.0b4\n\n:param default: Passed directly to the\n :paramref:`_schema.Column.default` parameter if the\n :paramref:`_orm.mapped_column.insert_default` parameter is not present.\n Additionally, when used with :ref:`orm_declarative_native_dataclasses`,\n indicates a default Python value that should be applied to the keyword\n constructor within the generated ``__init__()`` method.\n\n Note that in the case of dataclass generation when\n :paramref:`_orm.mapped_column.insert_default` is not present, this means\n the :paramref:`_orm.mapped_column.default` value is used in **two**\n places, both the ``__init__()`` method as well as the\n :paramref:`_schema.Column.default` parameter. While this behavior may\n change in a future release, for the moment this tends to \"work out\"; a\n default of ``None`` will mean that the :class:`_schema.Column` gets no\n default generator, whereas a default that refers to a non-``None`` Python\n or SQL expression value will be assigned up front on the object when\n ``__init__()`` is called, which is the same value that the Core\n :class:`_sql.Insert` construct would use in any case, leading to the same\n end result.\n\n .. note:: When using Core level column defaults that are callables to\n    be interpreted by the underlying :class:`_schema.Column` in conjunction\n    with :ref:`ORM-mapped dataclasses\n    <orm_declarative_native_dataclasses>`, especially those that are\n    :ref:`context-aware default functions <context_default_functions>`,\n    **the** :paramref:`_orm.mapped_column.insert_default` **parameter must\n    be used instead**.  This is necessary to disambiguate the callable from\n    being interpreted as a dataclass level default.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param insert_default: Passed directly to the\n :paramref:`_schema.Column.default` parameter; will supersede the value\n of :paramref:`_orm.mapped_column.default` when present, however\n :paramref:`_orm.mapped_column.default` will always apply to the\n constructor default for a dataclasses mapping.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param sort_order: An integer that indicates how this mapped column\n should be sorted compared to the others when the ORM is creating a\n :class:`_schema.Table`. Among mapped columns that have the same\n value the default ordering is used, placing first the mapped columns\n defined in the main class, then the ones in the super classes.\n Defaults to 0. The sort is ascending.\n\n .. versionadded:: 2.0.4\n\n:param active_history=False:\n\n    When ``True``, indicates that the \"previous\" value for a\n    scalar attribute should be loaded when replaced, if not\n    already loaded. Normally, history tracking logic for\n    simple non-primary-key scalar values only needs to be\n    aware of the \"new\" value in order to perform a flush. This\n    flag is available for applications that make use of\n    :func:`.attributes.get_history` or :meth:`.Session.is_modified`\n    which also need to know the \"previous\" value of the attribute.\n\n    .. versionadded:: 2.0.10\n\n:param init: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__init__()``\n method as generated by the dataclass process.\n:param repr: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__repr__()``\n method as generated by the dataclass process.\n:param default_factory: Specific to\n :ref:`orm_declarative_native_dataclasses`,\n specifies a default-value generation function that will take place\n as part of the ``__init__()``\n method as generated by the dataclass process.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n:param compare: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be included in comparison operations when generating the\n ``__eq__()`` and ``__ne__()`` methods for the mapped class.\n\n .. versionadded:: 2.0.0b4\n\n:param kw_only: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be marked as keyword-only when generating the ``__init__()``.\n\n:param hash: Specific to\n :ref:`orm_declarative_native_dataclasses`, controls if this field\n is included when generating the ``__hash__()`` method for the mapped\n class.\n\n .. versionadded:: 2.0.36\n\n:param dataclass_metadata: Specific to\n :ref:`orm_declarative_native_dataclasses`, supplies metadata\n to be attached to the generated dataclass field.\n\n .. versionadded:: 2.0.42\n\n:param \\**kw: All remaining keyword arguments are passed through to the\n constructor for the :class:`_schema.Column`."}, "range": {"start": {"line": 12, "character": 24}, "end": {"line": 12, "character": 37}}}}
-{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 4, "result": {"contents": {"kind": "plaintext", "value": "(function) def mapped_column(\n    __name_pos: _TypeEngineArgument[Any] | str | SchemaEventTarget | None = None,\n    __type_pos: _TypeEngineArgument[Any] | SchemaEventTarget | None = None,\n    *args: SchemaEventTarget,\n    init: _NoArg | bool = _NoArg.NO_ARG,\n    repr: _NoArg | bool = _NoArg.NO_ARG,\n    default: Any | None = _NoArg.NO_ARG,\n    default_factory: _NoArg | (() -> _T@mapped_column) = _NoArg.NO_ARG,\n    compare: _NoArg | bool = _NoArg.NO_ARG,\n    kw_only: _NoArg | bool = _NoArg.NO_ARG,\n    hash: _NoArg | bool | None = _NoArg.NO_ARG,\n    nullable: bool | Literal[SchemaConst.NULL_UNSPECIFIED] | None = SchemaConst.NULL_UNSPECIFIED,\n    primary_key: bool | None = False,\n    deferred: _NoArg | bool = _NoArg.NO_ARG,\n    deferred_group: str | None = None,\n    deferred_raiseload: bool | None = None,\n    use_existing_column: bool = False,\n    name: str | None = None,\n    type_: _TypeEngineArgument[Any] | None = None,\n    autoincrement: _AutoIncrementType = \"auto\",\n    doc: str | None = None,\n    key: str | None = None,\n    index: bool | None = None,\n    unique: bool | None = None,\n    info: _InfoType | None = None,\n    onupdate: Any | None = None,\n    insert_default: Any | None = _NoArg.NO_ARG,\n    server_default: _ServerDefaultArgument | None = None,\n    server_onupdate: _ServerOnUpdateArgument | None = None,\n    active_history: bool = False,\n    quote: bool | None = None,\n    system: bool = False,\n    comment: str | None = None,\n    sort_order: _NoArg | int = _NoArg.NO_ARG,\n    dataclass_metadata: _NoArg | Mapping[Any, Any] | None = _NoArg.NO_ARG,\n    **kw: Any\n) -> MappedColumn[Any]\n\ndeclare a new ORM-mapped :class:`_schema.Column` construct\nfor use within :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\nThe :func:`_orm.mapped_column` function provides an ORM-aware and\nPython-typing-compatible construct which is used with\n:ref:`declarative <orm_declarative_mapping>` mappings to indicate an\nattribute that's mapped to a Core :class:`_schema.Column` object.  It\nprovides the equivalent feature as mapping an attribute to a\n:class:`_schema.Column` object directly when using Declarative,\nspecifically when using :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\n.. versionadded:: 2.0\n\n:func:`_orm.mapped_column` is normally used with explicit typing along with\nthe :class:`_orm.Mapped` annotation type, where it can derive the SQL\ntype and nullability for the column based on what's present within the\n:class:`_orm.Mapped` annotation.   It also may be used without annotations\nas a drop-in replacement for how :class:`_schema.Column` is used in\nDeclarative mappings in SQLAlchemy 1.x style.\n\nFor usage examples of :func:`_orm.mapped_column`, see the documentation\nat :ref:`orm_declarative_table`.\n\n.. seealso::\n\n    :ref:`orm_declarative_table` - complete documentation\n\n    :ref:`whatsnew_20_orm_declarative_typing` - migration notes for\n    Declarative mappings using 1.x style mappings\n\n:param __name: String name to give to the :class:`_schema.Column`.  This\n is an optional, positional only argument that if present must be the\n first positional argument passed.  If omitted, the attribute name to\n which the :func:`_orm.mapped_column`  is mapped will be used as the SQL\n column name.\n:param __type: :class:`_types.TypeEngine` type or instance which will\n indicate the datatype to be associated with the :class:`_schema.Column`.\n This is an optional, positional-only argument that if present must\n immediately follow the ``__name`` parameter if present also, or otherwise\n be the first positional parameter.  If omitted, the ultimate type for\n the column may be derived either from the annotated type, or if a\n :class:`_schema.ForeignKey` is present, from the datatype of the\n referenced column.\n:param \\*args: Additional positional arguments include constructs such\n as :class:`_schema.ForeignKey`, :class:`_schema.CheckConstraint`,\n and :class:`_schema.Identity`, which are passed through to the constructed\n :class:`_schema.Column`.\n:param nullable: Optional bool, whether the column should be \"NULL\" or\n \"NOT NULL\". If omitted, the nullability is derived from the type\n annotation based on whether or not ``typing.Optional`` (or its equivalent)\n is present.  ``nullable`` defaults to ``True`` otherwise for non-primary\n key columns, and ``False`` for primary key columns.\n:param primary_key: optional bool, indicates the :class:`_schema.Column`\n would be part of the table's primary key or not.\n:param deferred: Optional bool - this keyword argument is consumed by the\n ORM declarative process, and is not part of the :class:`_schema.Column`\n itself; instead, it indicates that this column should be \"deferred\" for\n loading as though mapped by :func:`_orm.deferred`.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_declarative`\n\n:param deferred_group: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.group` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_group`\n\n:param deferred_raiseload: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.raiseload` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_raiseload`\n\n:param use_existing_column: if True, will attempt to locate the given\n column name on an inherited superclass (typically single inheriting\n superclass), and if present, will not produce a new column, mapping\n to the superclass column as though it were omitted from this class.\n This is used for mixins that add new columns to an inherited superclass.\n\n .. seealso::\n\n    :ref:`orm_inheritance_column_conflicts`\n\n .. versionadded:: 2.0.0b4\n\n:param default: Passed directly to the\n :paramref:`_schema.Column.default` parameter if the\n :paramref:`_orm.mapped_column.insert_default` parameter is not present.\n Additionally, when used with :ref:`orm_declarative_native_dataclasses`,\n indicates a default Python value that should be applied to the keyword\n constructor within the generated ``__init__()`` method.\n\n Note that in the case of dataclass generation when\n :paramref:`_orm.mapped_column.insert_default` is not present, this means\n the :paramref:`_orm.mapped_column.default` value is used in **two**\n places, both the ``__init__()`` method as well as the\n :paramref:`_schema.Column.default` parameter. While this behavior may\n change in a future release, for the moment this tends to \"work out\"; a\n default of ``None`` will mean that the :class:`_schema.Column` gets no\n default generator, whereas a default that refers to a non-``None`` Python\n or SQL expression value will be assigned up front on the object when\n ``__init__()`` is called, which is the same value that the Core\n :class:`_sql.Insert` construct would use in any case, leading to the same\n end result.\n\n .. note:: When using Core level column defaults that are callables to\n    be interpreted by the underlying :class:`_schema.Column` in conjunction\n    with :ref:`ORM-mapped dataclasses\n    <orm_declarative_native_dataclasses>`, especially those that are\n    :ref:`context-aware default functions <context_default_functions>`,\n    **the** :paramref:`_orm.mapped_column.insert_default` **parameter must\n    be used instead**.  This is necessary to disambiguate the callable from\n    being interpreted as a dataclass level default.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param insert_default: Passed directly to the\n :paramref:`_schema.Column.default` parameter; will supersede the value\n of :paramref:`_orm.mapped_column.default` when present, however\n :paramref:`_orm.mapped_column.default` will always apply to the\n constructor default for a dataclasses mapping.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param sort_order: An integer that indicates how this mapped column\n should be sorted compared to the others when the ORM is creating a\n :class:`_schema.Table`. Among mapped columns that have the same\n value the default ordering is used, placing first the mapped columns\n defined in the main class, then the ones in the super classes.\n Defaults to 0. The sort is ascending.\n\n .. versionadded:: 2.0.4\n\n:param active_history=False:\n\n    When ``True``, indicates that the \"previous\" value for a\n    scalar attribute should be loaded when replaced, if not\n    already loaded. Normally, history tracking logic for\n    simple non-primary-key scalar values only needs to be\n    aware of the \"new\" value in order to perform a flush. This\n    flag is available for applications that make use of\n    :func:`.attributes.get_history` or :meth:`.Session.is_modified`\n    which also need to know the \"previous\" value of the attribute.\n\n    .. versionadded:: 2.0.10\n\n:param init: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__init__()``\n method as generated by the dataclass process.\n:param repr: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__repr__()``\n method as generated by the dataclass process.\n:param default_factory: Specific to\n :ref:`orm_declarative_native_dataclasses`,\n specifies a default-value generation function that will take place\n as part of the ``__init__()``\n method as generated by the dataclass process.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n:param compare: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be included in comparison operations when generating the\n ``__eq__()`` and ``__ne__()`` methods for the mapped class.\n\n .. versionadded:: 2.0.0b4\n\n:param kw_only: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be marked as keyword-only when generating the ``__init__()``.\n\n:param hash: Specific to\n :ref:`orm_declarative_native_dataclasses`, controls if this field\n is included when generating the ``__hash__()`` method for the mapped\n class.\n\n .. versionadded:: 2.0.36\n\n:param dataclass_metadata: Specific to\n :ref:`orm_declarative_native_dataclasses`, supplies metadata\n to be attached to the generated dataclass field.\n\n .. versionadded:: 2.0.42\n\n:param \\**kw: All remaining keyword arguments are passed through to the\n constructor for the :class:`_schema.Column`."}, "range": {"start": {"line": 12, "character": 24}, "end": {"line": 12, "character": 37}}}}
-{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 5, "result": {"contents": {"kind": "plaintext", "value": "(function) def mapped_column(\n    __name_pos: _TypeEngineArgument[Any] | str | SchemaEventTarget | None = None,\n    __type_pos: _TypeEngineArgument[Any] | SchemaEventTarget | None = None,\n    *args: SchemaEventTarget,\n    init: _NoArg | bool = _NoArg.NO_ARG,\n    repr: _NoArg | bool = _NoArg.NO_ARG,\n    default: Any | None = _NoArg.NO_ARG,\n    default_factory: _NoArg | (() -> _T@mapped_column) = _NoArg.NO_ARG,\n    compare: _NoArg | bool = _NoArg.NO_ARG,\n    kw_only: _NoArg | bool = _NoArg.NO_ARG,\n    hash: _NoArg | bool | None = _NoArg.NO_ARG,\n    nullable: bool | Literal[SchemaConst.NULL_UNSPECIFIED] | None = SchemaConst.NULL_UNSPECIFIED,\n    primary_key: bool | None = False,\n    deferred: _NoArg | bool = _NoArg.NO_ARG,\n    deferred_group: str | None = None,\n    deferred_raiseload: bool | None = None,\n    use_existing_column: bool = False,\n    name: str | None = None,\n    type_: _TypeEngineArgument[Any] | None = None,\n    autoincrement: _AutoIncrementType = \"auto\",\n    doc: str | None = None,\n    key: str | None = None,\n    index: bool | None = None,\n    unique: bool | None = None,\n    info: _InfoType | None = None,\n    onupdate: Any | None = None,\n    insert_default: Any | None = _NoArg.NO_ARG,\n    server_default: _ServerDefaultArgument | None = None,\n    server_onupdate: _ServerOnUpdateArgument | None = None,\n    active_history: bool = False,\n    quote: bool | None = None,\n    system: bool = False,\n    comment: str | None = None,\n    sort_order: _NoArg | int = _NoArg.NO_ARG,\n    dataclass_metadata: _NoArg | Mapping[Any, Any] | None = _NoArg.NO_ARG,\n    **kw: Any\n) -> MappedColumn[Any]\n\ndeclare a new ORM-mapped :class:`_schema.Column` construct\nfor use within :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\nThe :func:`_orm.mapped_column` function provides an ORM-aware and\nPython-typing-compatible construct which is used with\n:ref:`declarative <orm_declarative_mapping>` mappings to indicate an\nattribute that's mapped to a Core :class:`_schema.Column` object.  It\nprovides the equivalent feature as mapping an attribute to a\n:class:`_schema.Column` object directly when using Declarative,\nspecifically when using :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\n.. versionadded:: 2.0\n\n:func:`_orm.mapped_column` is normally used with explicit typing along with\nthe :class:`_orm.Mapped` annotation type, where it can derive the SQL\ntype and nullability for the column based on what's present within the\n:class:`_orm.Mapped` annotation.   It also may be used without annotations\nas a drop-in replacement for how :class:`_schema.Column` is used in\nDeclarative mappings in SQLAlchemy 1.x style.\n\nFor usage examples of :func:`_orm.mapped_column`, see the documentation\nat :ref:`orm_declarative_table`.\n\n.. seealso::\n\n    :ref:`orm_declarative_table` - complete documentation\n\n    :ref:`whatsnew_20_orm_declarative_typing` - migration notes for\n    Declarative mappings using 1.x style mappings\n\n:param __name: String name to give to the :class:`_schema.Column`.  This\n is an optional, positional only argument that if present must be the\n first positional argument passed.  If omitted, the attribute name to\n which the :func:`_orm.mapped_column`  is mapped will be used as the SQL\n column name.\n:param __type: :class:`_types.TypeEngine` type or instance which will\n indicate the datatype to be associated with the :class:`_schema.Column`.\n This is an optional, positional-only argument that if present must\n immediately follow the ``__name`` parameter if present also, or otherwise\n be the first positional parameter.  If omitted, the ultimate type for\n the column may be derived either from the annotated type, or if a\n :class:`_schema.ForeignKey` is present, from the datatype of the\n referenced column.\n:param \\*args: Additional positional arguments include constructs such\n as :class:`_schema.ForeignKey`, :class:`_schema.CheckConstraint`,\n and :class:`_schema.Identity`, which are passed through to the constructed\n :class:`_schema.Column`.\n:param nullable: Optional bool, whether the column should be \"NULL\" or\n \"NOT NULL\". If omitted, the nullability is derived from the type\n annotation based on whether or not ``typing.Optional`` (or its equivalent)\n is present.  ``nullable`` defaults to ``True`` otherwise for non-primary\n key columns, and ``False`` for primary key columns.\n:param primary_key: optional bool, indicates the :class:`_schema.Column`\n would be part of the table's primary key or not.\n:param deferred: Optional bool - this keyword argument is consumed by the\n ORM declarative process, and is not part of the :class:`_schema.Column`\n itself; instead, it indicates that this column should be \"deferred\" for\n loading as though mapped by :func:`_orm.deferred`.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_declarative`\n\n:param deferred_group: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.group` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_group`\n\n:param deferred_raiseload: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.raiseload` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_raiseload`\n\n:param use_existing_column: if True, will attempt to locate the given\n column name on an inherited superclass (typically single inheriting\n superclass), and if present, will not produce a new column, mapping\n to the superclass column as though it were omitted from this class.\n This is used for mixins that add new columns to an inherited superclass.\n\n .. seealso::\n\n    :ref:`orm_inheritance_column_conflicts`\n\n .. versionadded:: 2.0.0b4\n\n:param default: Passed directly to the\n :paramref:`_schema.Column.default` parameter if the\n :paramref:`_orm.mapped_column.insert_default` parameter is not present.\n Additionally, when used with :ref:`orm_declarative_native_dataclasses`,\n indicates a default Python value that should be applied to the keyword\n constructor within the generated ``__init__()`` method.\n\n Note that in the case of dataclass generation when\n :paramref:`_orm.mapped_column.insert_default` is not present, this means\n the :paramref:`_orm.mapped_column.default` value is used in **two**\n places, both the ``__init__()`` method as well as the\n :paramref:`_schema.Column.default` parameter. While this behavior may\n change in a future release, for the moment this tends to \"work out\"; a\n default of ``None`` will mean that the :class:`_schema.Column` gets no\n default generator, whereas a default that refers to a non-``None`` Python\n or SQL expression value will be assigned up front on the object when\n ``__init__()`` is called, which is the same value that the Core\n :class:`_sql.Insert` construct would use in any case, leading to the same\n end result.\n\n .. note:: When using Core level column defaults that are callables to\n    be interpreted by the underlying :class:`_schema.Column` in conjunction\n    with :ref:`ORM-mapped dataclasses\n    <orm_declarative_native_dataclasses>`, especially those that are\n    :ref:`context-aware default functions <context_default_functions>`,\n    **the** :paramref:`_orm.mapped_column.insert_default` **parameter must\n    be used instead**.  This is necessary to disambiguate the callable from\n    being interpreted as a dataclass level default.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param insert_default: Passed directly to the\n :paramref:`_schema.Column.default` parameter; will supersede the value\n of :paramref:`_orm.mapped_column.default` when present, however\n :paramref:`_orm.mapped_column.default` will always apply to the\n constructor default for a dataclasses mapping.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param sort_order: An integer that indicates how this mapped column\n should be sorted compared to the others when the ORM is creating a\n :class:`_schema.Table`. Among mapped columns that have the same\n value the default ordering is used, placing first the mapped columns\n defined in the main class, then the ones in the super classes.\n Defaults to 0. The sort is ascending.\n\n .. versionadded:: 2.0.4\n\n:param active_history=False:\n\n    When ``True``, indicates that the \"previous\" value for a\n    scalar attribute should be loaded when replaced, if not\n    already loaded. Normally, history tracking logic for\n    simple non-primary-key scalar values only needs to be\n    aware of the \"new\" value in order to perform a flush. This\n    flag is available for applications that make use of\n    :func:`.attributes.get_history` or :meth:`.Session.is_modified`\n    which also need to know the \"previous\" value of the attribute.\n\n    .. versionadded:: 2.0.10\n\n:param init: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__init__()``\n method as generated by the dataclass process.\n:param repr: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__repr__()``\n method as generated by the dataclass process.\n:param default_factory: Specific to\n :ref:`orm_declarative_native_dataclasses`,\n specifies a default-value generation function that will take place\n as part of the ``__init__()``\n method as generated by the dataclass process.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n:param compare: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be included in comparison operations when generating the\n ``__eq__()`` and ``__ne__()`` methods for the mapped class.\n\n .. versionadded:: 2.0.0b4\n\n:param kw_only: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be marked as keyword-only when generating the ``__init__()``.\n\n:param hash: Specific to\n :ref:`orm_declarative_native_dataclasses`, controls if this field\n is included when generating the ``__hash__()`` method for the mapped\n class.\n\n .. versionadded:: 2.0.36\n\n:param dataclass_metadata: Specific to\n :ref:`orm_declarative_native_dataclasses`, supplies metadata\n to be attached to the generated dataclass field.\n\n .. versionadded:: 2.0.42\n\n:param \\**kw: All remaining keyword arguments are passed through to the\n constructor for the :class:`_schema.Column`."}, "range": {"start": {"line": 12, "character": 24}, "end": {"line": 12, "character": 37}}}}
+{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 1, "result": {"contents": {"kind": "plaintext", "value": "(function) def mapped_column(\n    __name_pos: _TypeEngineArgument[Any] | str | SchemaEventTarget | None = None,\n    __type_pos: _TypeEngineArgument[Any] | SchemaEventTarget | None = None,\n    /,\n    *args: SchemaEventTarget,\n    init: _NoArg | bool = _NoArg.NO_ARG,\n    repr: _NoArg | bool = _NoArg.NO_ARG,\n    default: Any | None = _NoArg.NO_ARG,\n    default_factory: _NoArg | (() -> _T@mapped_column) = _NoArg.NO_ARG,\n    compare: _NoArg | bool = _NoArg.NO_ARG,\n    kw_only: _NoArg | bool = _NoArg.NO_ARG,\n    hash: _NoArg | bool | None = _NoArg.NO_ARG,\n    nullable: bool | Literal[SchemaConst.NULL_UNSPECIFIED] | None = SchemaConst.NULL_UNSPECIFIED,\n    primary_key: bool | None = False,\n    deferred: _NoArg | bool = _NoArg.NO_ARG,\n    deferred_group: str | None = None,\n    deferred_raiseload: bool | None = None,\n    use_existing_column: bool = False,\n    name: str | None = None,\n    type_: _TypeEngineArgument[Any] | None = None,\n    autoincrement: _AutoIncrementType = \"auto\",\n    doc: str | None = None,\n    key: str | None = None,\n    index: bool | None = None,\n    unique: bool | None = None,\n    info: _InfoType | None = None,\n    onupdate: Any | None = None,\n    insert_default: Any | None = _NoArg.NO_ARG,\n    server_default: _ServerDefaultArgument | None = None,\n    server_onupdate: _ServerOnUpdateArgument | None = None,\n    active_history: bool = False,\n    quote: bool | None = None,\n    system: bool = False,\n    comment: str | None = None,\n    sort_order: _NoArg | int = _NoArg.NO_ARG,\n    dataclass_metadata: _NoArg | Mapping[Any, Any] | None = _NoArg.NO_ARG,\n    **kw: Any\n) -> MappedColumn[Any]\n\ndeclare a new ORM-mapped :class:`_schema.Column` construct\nfor use within :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\nThe :func:`_orm.mapped_column` function provides an ORM-aware and\nPython-typing-compatible construct which is used with\n:ref:`declarative <orm_declarative_mapping>` mappings to indicate an\nattribute that's mapped to a Core :class:`_schema.Column` object.  It\nprovides the equivalent feature as mapping an attribute to a\n:class:`_schema.Column` object directly when using Declarative,\nspecifically when using :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\n.. versionadded:: 2.0\n\n:func:`_orm.mapped_column` is normally used with explicit typing along with\nthe :class:`_orm.Mapped` annotation type, where it can derive the SQL\ntype and nullability for the column based on what's present within the\n:class:`_orm.Mapped` annotation.   It also may be used without annotations\nas a drop-in replacement for how :class:`_schema.Column` is used in\nDeclarative mappings in SQLAlchemy 1.x style.\n\nFor usage examples of :func:`_orm.mapped_column`, see the documentation\nat :ref:`orm_declarative_table`.\n\n.. seealso::\n\n    :ref:`orm_declarative_table` - complete documentation\n\n    :ref:`whatsnew_20_orm_declarative_typing` - migration notes for\n    Declarative mappings using 1.x style mappings\n\n:param __name: String name to give to the :class:`_schema.Column`.  This\n is an optional, positional only argument that if present must be the\n first positional argument passed.  If omitted, the attribute name to\n which the :func:`_orm.mapped_column`  is mapped will be used as the SQL\n column name.\n:param __type: :class:`_types.TypeEngine` type or instance which will\n indicate the datatype to be associated with the :class:`_schema.Column`.\n This is an optional, positional-only argument that if present must\n immediately follow the ``__name`` parameter if present also, or otherwise\n be the first positional parameter.  If omitted, the ultimate type for\n the column may be derived either from the annotated type, or if a\n :class:`_schema.ForeignKey` is present, from the datatype of the\n referenced column.\n:param \\*args: Additional positional arguments include constructs such\n as :class:`_schema.ForeignKey`, :class:`_schema.CheckConstraint`,\n and :class:`_schema.Identity`, which are passed through to the constructed\n :class:`_schema.Column`.\n:param nullable: Optional bool, whether the column should be \"NULL\" or\n \"NOT NULL\". If omitted, the nullability is derived from the type\n annotation based on whether or not ``typing.Optional`` (or its equivalent)\n is present.  ``nullable`` defaults to ``True`` otherwise for non-primary\n key columns, and ``False`` for primary key columns.\n:param primary_key: optional bool, indicates the :class:`_schema.Column`\n would be part of the table's primary key or not.\n:param deferred: Optional bool - this keyword argument is consumed by the\n ORM declarative process, and is not part of the :class:`_schema.Column`\n itself; instead, it indicates that this column should be \"deferred\" for\n loading as though mapped by :func:`_orm.deferred`.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_declarative`\n\n:param deferred_group: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.group` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_group`\n\n:param deferred_raiseload: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.raiseload` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_raiseload`\n\n:param use_existing_column: if True, will attempt to locate the given\n column name on an inherited superclass (typically single inheriting\n superclass), and if present, will not produce a new column, mapping\n to the superclass column as though it were omitted from this class.\n This is used for mixins that add new columns to an inherited superclass.\n\n .. seealso::\n\n    :ref:`orm_inheritance_column_conflicts`\n\n .. versionadded:: 2.0.0b4\n\n:param default: Passed directly to the\n :paramref:`_schema.Column.default` parameter if the\n :paramref:`_orm.mapped_column.insert_default` parameter is not present.\n Additionally, when used with :ref:`orm_declarative_native_dataclasses`,\n indicates a default Python value that should be applied to the keyword\n constructor within the generated ``__init__()`` method.\n\n Note that in the case of dataclass generation when\n :paramref:`_orm.mapped_column.insert_default` is not present, this means\n the :paramref:`_orm.mapped_column.default` value is used in **two**\n places, both the ``__init__()`` method as well as the\n :paramref:`_schema.Column.default` parameter. While this behavior may\n change in a future release, for the moment this tends to \"work out\"; a\n default of ``None`` will mean that the :class:`_schema.Column` gets no\n default generator, whereas a default that refers to a non-``None`` Python\n or SQL expression value will be assigned up front on the object when\n ``__init__()`` is called, which is the same value that the Core\n :class:`_sql.Insert` construct would use in any case, leading to the same\n end result.\n\n .. note:: When using Core level column defaults that are callables to\n    be interpreted by the underlying :class:`_schema.Column` in conjunction\n    with :ref:`ORM-mapped dataclasses\n    <orm_declarative_native_dataclasses>`, especially those that are\n    :ref:`context-aware default functions <context_default_functions>`,\n    **the** :paramref:`_orm.mapped_column.insert_default` **parameter must\n    be used instead**.  This is necessary to disambiguate the callable from\n    being interpreted as a dataclass level default.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param insert_default: Passed directly to the\n :paramref:`_schema.Column.default` parameter; will supersede the value\n of :paramref:`_orm.mapped_column.default` when present, however\n :paramref:`_orm.mapped_column.default` will always apply to the\n constructor default for a dataclasses mapping.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param sort_order: An integer that indicates how this mapped column\n should be sorted compared to the others when the ORM is creating a\n :class:`_schema.Table`. Among mapped columns that have the same\n value the default ordering is used, placing first the mapped columns\n defined in the main class, then the ones in the super classes.\n Defaults to 0. The sort is ascending.\n\n .. versionadded:: 2.0.4\n\n:param active_history=False:\n\n    When ``True``, indicates that the \"previous\" value for a\n    scalar attribute should be loaded when replaced, if not\n    already loaded. Normally, history tracking logic for\n    simple non-primary-key scalar values only needs to be\n    aware of the \"new\" value in order to perform a flush. This\n    flag is available for applications that make use of\n    :func:`.attributes.get_history` or :meth:`.Session.is_modified`\n    which also need to know the \"previous\" value of the attribute.\n\n    .. versionadded:: 2.0.10\n\n:param init: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__init__()``\n method as generated by the dataclass process.\n:param repr: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__repr__()``\n method as generated by the dataclass process.\n:param default_factory: Specific to\n :ref:`orm_declarative_native_dataclasses`,\n specifies a default-value generation function that will take place\n as part of the ``__init__()``\n method as generated by the dataclass process.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n:param compare: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be included in comparison operations when generating the\n ``__eq__()`` and ``__ne__()`` methods for the mapped class.\n\n .. versionadded:: 2.0.0b4\n\n:param kw_only: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be marked as keyword-only when generating the ``__init__()``.\n\n:param hash: Specific to\n :ref:`orm_declarative_native_dataclasses`, controls if this field\n is included when generating the ``__hash__()`` method for the mapped\n class.\n\n .. versionadded:: 2.0.36\n\n:param dataclass_metadata: Specific to\n :ref:`orm_declarative_native_dataclasses`, supplies metadata\n to be attached to the generated dataclass field.\n\n .. versionadded:: 2.0.42\n\n:param \\**kw: All remaining keyword arguments are passed through to the\n constructor for the :class:`_schema.Column`."}, "range": {"start": {"line": 12, "character": 24}, "end": {"line": 12, "character": 37}}}}
+{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 2, "result": {"contents": {"kind": "plaintext", "value": "(function) def mapped_column(\n    __name_pos: _TypeEngineArgument[Any] | str | SchemaEventTarget | None = None,\n    __type_pos: _TypeEngineArgument[Any] | SchemaEventTarget | None = None,\n    /,\n    *args: SchemaEventTarget,\n    init: _NoArg | bool = _NoArg.NO_ARG,\n    repr: _NoArg | bool = _NoArg.NO_ARG,\n    default: Any | None = _NoArg.NO_ARG,\n    default_factory: _NoArg | (() -> _T@mapped_column) = _NoArg.NO_ARG,\n    compare: _NoArg | bool = _NoArg.NO_ARG,\n    kw_only: _NoArg | bool = _NoArg.NO_ARG,\n    hash: _NoArg | bool | None = _NoArg.NO_ARG,\n    nullable: bool | Literal[SchemaConst.NULL_UNSPECIFIED] | None = SchemaConst.NULL_UNSPECIFIED,\n    primary_key: bool | None = False,\n    deferred: _NoArg | bool = _NoArg.NO_ARG,\n    deferred_group: str | None = None,\n    deferred_raiseload: bool | None = None,\n    use_existing_column: bool = False,\n    name: str | None = None,\n    type_: _TypeEngineArgument[Any] | None = None,\n    autoincrement: _AutoIncrementType = \"auto\",\n    doc: str | None = None,\n    key: str | None = None,\n    index: bool | None = None,\n    unique: bool | None = None,\n    info: _InfoType | None = None,\n    onupdate: Any | None = None,\n    insert_default: Any | None = _NoArg.NO_ARG,\n    server_default: _ServerDefaultArgument | None = None,\n    server_onupdate: _ServerOnUpdateArgument | None = None,\n    active_history: bool = False,\n    quote: bool | None = None,\n    system: bool = False,\n    comment: str | None = None,\n    sort_order: _NoArg | int = _NoArg.NO_ARG,\n    dataclass_metadata: _NoArg | Mapping[Any, Any] | None = _NoArg.NO_ARG,\n    **kw: Any\n) -> MappedColumn[Any]\n\ndeclare a new ORM-mapped :class:`_schema.Column` construct\nfor use within :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\nThe :func:`_orm.mapped_column` function provides an ORM-aware and\nPython-typing-compatible construct which is used with\n:ref:`declarative <orm_declarative_mapping>` mappings to indicate an\nattribute that's mapped to a Core :class:`_schema.Column` object.  It\nprovides the equivalent feature as mapping an attribute to a\n:class:`_schema.Column` object directly when using Declarative,\nspecifically when using :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\n.. versionadded:: 2.0\n\n:func:`_orm.mapped_column` is normally used with explicit typing along with\nthe :class:`_orm.Mapped` annotation type, where it can derive the SQL\ntype and nullability for the column based on what's present within the\n:class:`_orm.Mapped` annotation.   It also may be used without annotations\nas a drop-in replacement for how :class:`_schema.Column` is used in\nDeclarative mappings in SQLAlchemy 1.x style.\n\nFor usage examples of :func:`_orm.mapped_column`, see the documentation\nat :ref:`orm_declarative_table`.\n\n.. seealso::\n\n    :ref:`orm_declarative_table` - complete documentation\n\n    :ref:`whatsnew_20_orm_declarative_typing` - migration notes for\n    Declarative mappings using 1.x style mappings\n\n:param __name: String name to give to the :class:`_schema.Column`.  This\n is an optional, positional only argument that if present must be the\n first positional argument passed.  If omitted, the attribute name to\n which the :func:`_orm.mapped_column`  is mapped will be used as the SQL\n column name.\n:param __type: :class:`_types.TypeEngine` type or instance which will\n indicate the datatype to be associated with the :class:`_schema.Column`.\n This is an optional, positional-only argument that if present must\n immediately follow the ``__name`` parameter if present also, or otherwise\n be the first positional parameter.  If omitted, the ultimate type for\n the column may be derived either from the annotated type, or if a\n :class:`_schema.ForeignKey` is present, from the datatype of the\n referenced column.\n:param \\*args: Additional positional arguments include constructs such\n as :class:`_schema.ForeignKey`, :class:`_schema.CheckConstraint`,\n and :class:`_schema.Identity`, which are passed through to the constructed\n :class:`_schema.Column`.\n:param nullable: Optional bool, whether the column should be \"NULL\" or\n \"NOT NULL\". If omitted, the nullability is derived from the type\n annotation based on whether or not ``typing.Optional`` (or its equivalent)\n is present.  ``nullable`` defaults to ``True`` otherwise for non-primary\n key columns, and ``False`` for primary key columns.\n:param primary_key: optional bool, indicates the :class:`_schema.Column`\n would be part of the table's primary key or not.\n:param deferred: Optional bool - this keyword argument is consumed by the\n ORM declarative process, and is not part of the :class:`_schema.Column`\n itself; instead, it indicates that this column should be \"deferred\" for\n loading as though mapped by :func:`_orm.deferred`.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_declarative`\n\n:param deferred_group: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.group` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_group`\n\n:param deferred_raiseload: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.raiseload` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_raiseload`\n\n:param use_existing_column: if True, will attempt to locate the given\n column name on an inherited superclass (typically single inheriting\n superclass), and if present, will not produce a new column, mapping\n to the superclass column as though it were omitted from this class.\n This is used for mixins that add new columns to an inherited superclass.\n\n .. seealso::\n\n    :ref:`orm_inheritance_column_conflicts`\n\n .. versionadded:: 2.0.0b4\n\n:param default: Passed directly to the\n :paramref:`_schema.Column.default` parameter if the\n :paramref:`_orm.mapped_column.insert_default` parameter is not present.\n Additionally, when used with :ref:`orm_declarative_native_dataclasses`,\n indicates a default Python value that should be applied to the keyword\n constructor within the generated ``__init__()`` method.\n\n Note that in the case of dataclass generation when\n :paramref:`_orm.mapped_column.insert_default` is not present, this means\n the :paramref:`_orm.mapped_column.default` value is used in **two**\n places, both the ``__init__()`` method as well as the\n :paramref:`_schema.Column.default` parameter. While this behavior may\n change in a future release, for the moment this tends to \"work out\"; a\n default of ``None`` will mean that the :class:`_schema.Column` gets no\n default generator, whereas a default that refers to a non-``None`` Python\n or SQL expression value will be assigned up front on the object when\n ``__init__()`` is called, which is the same value that the Core\n :class:`_sql.Insert` construct would use in any case, leading to the same\n end result.\n\n .. note:: When using Core level column defaults that are callables to\n    be interpreted by the underlying :class:`_schema.Column` in conjunction\n    with :ref:`ORM-mapped dataclasses\n    <orm_declarative_native_dataclasses>`, especially those that are\n    :ref:`context-aware default functions <context_default_functions>`,\n    **the** :paramref:`_orm.mapped_column.insert_default` **parameter must\n    be used instead**.  This is necessary to disambiguate the callable from\n    being interpreted as a dataclass level default.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param insert_default: Passed directly to the\n :paramref:`_schema.Column.default` parameter; will supersede the value\n of :paramref:`_orm.mapped_column.default` when present, however\n :paramref:`_orm.mapped_column.default` will always apply to the\n constructor default for a dataclasses mapping.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param sort_order: An integer that indicates how this mapped column\n should be sorted compared to the others when the ORM is creating a\n :class:`_schema.Table`. Among mapped columns that have the same\n value the default ordering is used, placing first the mapped columns\n defined in the main class, then the ones in the super classes.\n Defaults to 0. The sort is ascending.\n\n .. versionadded:: 2.0.4\n\n:param active_history=False:\n\n    When ``True``, indicates that the \"previous\" value for a\n    scalar attribute should be loaded when replaced, if not\n    already loaded. Normally, history tracking logic for\n    simple non-primary-key scalar values only needs to be\n    aware of the \"new\" value in order to perform a flush. This\n    flag is available for applications that make use of\n    :func:`.attributes.get_history` or :meth:`.Session.is_modified`\n    which also need to know the \"previous\" value of the attribute.\n\n    .. versionadded:: 2.0.10\n\n:param init: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__init__()``\n method as generated by the dataclass process.\n:param repr: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__repr__()``\n method as generated by the dataclass process.\n:param default_factory: Specific to\n :ref:`orm_declarative_native_dataclasses`,\n specifies a default-value generation function that will take place\n as part of the ``__init__()``\n method as generated by the dataclass process.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n:param compare: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be included in comparison operations when generating the\n ``__eq__()`` and ``__ne__()`` methods for the mapped class.\n\n .. versionadded:: 2.0.0b4\n\n:param kw_only: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be marked as keyword-only when generating the ``__init__()``.\n\n:param hash: Specific to\n :ref:`orm_declarative_native_dataclasses`, controls if this field\n is included when generating the ``__hash__()`` method for the mapped\n class.\n\n .. versionadded:: 2.0.36\n\n:param dataclass_metadata: Specific to\n :ref:`orm_declarative_native_dataclasses`, supplies metadata\n to be attached to the generated dataclass field.\n\n .. versionadded:: 2.0.42\n\n:param \\**kw: All remaining keyword arguments are passed through to the\n constructor for the :class:`_schema.Column`."}, "range": {"start": {"line": 12, "character": 24}, "end": {"line": 12, "character": 37}}}}
+{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 3, "result": {"contents": {"kind": "plaintext", "value": "(function) def mapped_column(\n    __name_pos: _TypeEngineArgument[Any] | str | SchemaEventTarget | None = None,\n    __type_pos: _TypeEngineArgument[Any] | SchemaEventTarget | None = None,\n    /,\n    *args: SchemaEventTarget,\n    init: _NoArg | bool = _NoArg.NO_ARG,\n    repr: _NoArg | bool = _NoArg.NO_ARG,\n    default: Any | None = _NoArg.NO_ARG,\n    default_factory: _NoArg | (() -> _T@mapped_column) = _NoArg.NO_ARG,\n    compare: _NoArg | bool = _NoArg.NO_ARG,\n    kw_only: _NoArg | bool = _NoArg.NO_ARG,\n    hash: _NoArg | bool | None = _NoArg.NO_ARG,\n    nullable: bool | Literal[SchemaConst.NULL_UNSPECIFIED] | None = SchemaConst.NULL_UNSPECIFIED,\n    primary_key: bool | None = False,\n    deferred: _NoArg | bool = _NoArg.NO_ARG,\n    deferred_group: str | None = None,\n    deferred_raiseload: bool | None = None,\n    use_existing_column: bool = False,\n    name: str | None = None,\n    type_: _TypeEngineArgument[Any] | None = None,\n    autoincrement: _AutoIncrementType = \"auto\",\n    doc: str | None = None,\n    key: str | None = None,\n    index: bool | None = None,\n    unique: bool | None = None,\n    info: _InfoType | None = None,\n    onupdate: Any | None = None,\n    insert_default: Any | None = _NoArg.NO_ARG,\n    server_default: _ServerDefaultArgument | None = None,\n    server_onupdate: _ServerOnUpdateArgument | None = None,\n    active_history: bool = False,\n    quote: bool | None = None,\n    system: bool = False,\n    comment: str | None = None,\n    sort_order: _NoArg | int = _NoArg.NO_ARG,\n    dataclass_metadata: _NoArg | Mapping[Any, Any] | None = _NoArg.NO_ARG,\n    **kw: Any\n) -> MappedColumn[Any]\n\ndeclare a new ORM-mapped :class:`_schema.Column` construct\nfor use within :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\nThe :func:`_orm.mapped_column` function provides an ORM-aware and\nPython-typing-compatible construct which is used with\n:ref:`declarative <orm_declarative_mapping>` mappings to indicate an\nattribute that's mapped to a Core :class:`_schema.Column` object.  It\nprovides the equivalent feature as mapping an attribute to a\n:class:`_schema.Column` object directly when using Declarative,\nspecifically when using :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\n.. versionadded:: 2.0\n\n:func:`_orm.mapped_column` is normally used with explicit typing along with\nthe :class:`_orm.Mapped` annotation type, where it can derive the SQL\ntype and nullability for the column based on what's present within the\n:class:`_orm.Mapped` annotation.   It also may be used without annotations\nas a drop-in replacement for how :class:`_schema.Column` is used in\nDeclarative mappings in SQLAlchemy 1.x style.\n\nFor usage examples of :func:`_orm.mapped_column`, see the documentation\nat :ref:`orm_declarative_table`.\n\n.. seealso::\n\n    :ref:`orm_declarative_table` - complete documentation\n\n    :ref:`whatsnew_20_orm_declarative_typing` - migration notes for\n    Declarative mappings using 1.x style mappings\n\n:param __name: String name to give to the :class:`_schema.Column`.  This\n is an optional, positional only argument that if present must be the\n first positional argument passed.  If omitted, the attribute name to\n which the :func:`_orm.mapped_column`  is mapped will be used as the SQL\n column name.\n:param __type: :class:`_types.TypeEngine` type or instance which will\n indicate the datatype to be associated with the :class:`_schema.Column`.\n This is an optional, positional-only argument that if present must\n immediately follow the ``__name`` parameter if present also, or otherwise\n be the first positional parameter.  If omitted, the ultimate type for\n the column may be derived either from the annotated type, or if a\n :class:`_schema.ForeignKey` is present, from the datatype of the\n referenced column.\n:param \\*args: Additional positional arguments include constructs such\n as :class:`_schema.ForeignKey`, :class:`_schema.CheckConstraint`,\n and :class:`_schema.Identity`, which are passed through to the constructed\n :class:`_schema.Column`.\n:param nullable: Optional bool, whether the column should be \"NULL\" or\n \"NOT NULL\". If omitted, the nullability is derived from the type\n annotation based on whether or not ``typing.Optional`` (or its equivalent)\n is present.  ``nullable`` defaults to ``True`` otherwise for non-primary\n key columns, and ``False`` for primary key columns.\n:param primary_key: optional bool, indicates the :class:`_schema.Column`\n would be part of the table's primary key or not.\n:param deferred: Optional bool - this keyword argument is consumed by the\n ORM declarative process, and is not part of the :class:`_schema.Column`\n itself; instead, it indicates that this column should be \"deferred\" for\n loading as though mapped by :func:`_orm.deferred`.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_declarative`\n\n:param deferred_group: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.group` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_group`\n\n:param deferred_raiseload: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.raiseload` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_raiseload`\n\n:param use_existing_column: if True, will attempt to locate the given\n column name on an inherited superclass (typically single inheriting\n superclass), and if present, will not produce a new column, mapping\n to the superclass column as though it were omitted from this class.\n This is used for mixins that add new columns to an inherited superclass.\n\n .. seealso::\n\n    :ref:`orm_inheritance_column_conflicts`\n\n .. versionadded:: 2.0.0b4\n\n:param default: Passed directly to the\n :paramref:`_schema.Column.default` parameter if the\n :paramref:`_orm.mapped_column.insert_default` parameter is not present.\n Additionally, when used with :ref:`orm_declarative_native_dataclasses`,\n indicates a default Python value that should be applied to the keyword\n constructor within the generated ``__init__()`` method.\n\n Note that in the case of dataclass generation when\n :paramref:`_orm.mapped_column.insert_default` is not present, this means\n the :paramref:`_orm.mapped_column.default` value is used in **two**\n places, both the ``__init__()`` method as well as the\n :paramref:`_schema.Column.default` parameter. While this behavior may\n change in a future release, for the moment this tends to \"work out\"; a\n default of ``None`` will mean that the :class:`_schema.Column` gets no\n default generator, whereas a default that refers to a non-``None`` Python\n or SQL expression value will be assigned up front on the object when\n ``__init__()`` is called, which is the same value that the Core\n :class:`_sql.Insert` construct would use in any case, leading to the same\n end result.\n\n .. note:: When using Core level column defaults that are callables to\n    be interpreted by the underlying :class:`_schema.Column` in conjunction\n    with :ref:`ORM-mapped dataclasses\n    <orm_declarative_native_dataclasses>`, especially those that are\n    :ref:`context-aware default functions <context_default_functions>`,\n    **the** :paramref:`_orm.mapped_column.insert_default` **parameter must\n    be used instead**.  This is necessary to disambiguate the callable from\n    being interpreted as a dataclass level default.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param insert_default: Passed directly to the\n :paramref:`_schema.Column.default` parameter; will supersede the value\n of :paramref:`_orm.mapped_column.default` when present, however\n :paramref:`_orm.mapped_column.default` will always apply to the\n constructor default for a dataclasses mapping.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param sort_order: An integer that indicates how this mapped column\n should be sorted compared to the others when the ORM is creating a\n :class:`_schema.Table`. Among mapped columns that have the same\n value the default ordering is used, placing first the mapped columns\n defined in the main class, then the ones in the super classes.\n Defaults to 0. The sort is ascending.\n\n .. versionadded:: 2.0.4\n\n:param active_history=False:\n\n    When ``True``, indicates that the \"previous\" value for a\n    scalar attribute should be loaded when replaced, if not\n    already loaded. Normally, history tracking logic for\n    simple non-primary-key scalar values only needs to be\n    aware of the \"new\" value in order to perform a flush. This\n    flag is available for applications that make use of\n    :func:`.attributes.get_history` or :meth:`.Session.is_modified`\n    which also need to know the \"previous\" value of the attribute.\n\n    .. versionadded:: 2.0.10\n\n:param init: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__init__()``\n method as generated by the dataclass process.\n:param repr: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__repr__()``\n method as generated by the dataclass process.\n:param default_factory: Specific to\n :ref:`orm_declarative_native_dataclasses`,\n specifies a default-value generation function that will take place\n as part of the ``__init__()``\n method as generated by the dataclass process.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n:param compare: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be included in comparison operations when generating the\n ``__eq__()`` and ``__ne__()`` methods for the mapped class.\n\n .. versionadded:: 2.0.0b4\n\n:param kw_only: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be marked as keyword-only when generating the ``__init__()``.\n\n:param hash: Specific to\n :ref:`orm_declarative_native_dataclasses`, controls if this field\n is included when generating the ``__hash__()`` method for the mapped\n class.\n\n .. versionadded:: 2.0.36\n\n:param dataclass_metadata: Specific to\n :ref:`orm_declarative_native_dataclasses`, supplies metadata\n to be attached to the generated dataclass field.\n\n .. versionadded:: 2.0.42\n\n:param \\**kw: All remaining keyword arguments are passed through to the\n constructor for the :class:`_schema.Column`."}, "range": {"start": {"line": 12, "character": 24}, "end": {"line": 12, "character": 37}}}}
+{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 4, "result": {"contents": {"kind": "plaintext", "value": "(function) def mapped_column(\n    __name_pos: _TypeEngineArgument[Any] | str | SchemaEventTarget | None = None,\n    __type_pos: _TypeEngineArgument[Any] | SchemaEventTarget | None = None,\n    /,\n    *args: SchemaEventTarget,\n    init: _NoArg | bool = _NoArg.NO_ARG,\n    repr: _NoArg | bool = _NoArg.NO_ARG,\n    default: Any | None = _NoArg.NO_ARG,\n    default_factory: _NoArg | (() -> _T@mapped_column) = _NoArg.NO_ARG,\n    compare: _NoArg | bool = _NoArg.NO_ARG,\n    kw_only: _NoArg | bool = _NoArg.NO_ARG,\n    hash: _NoArg | bool | None = _NoArg.NO_ARG,\n    nullable: bool | Literal[SchemaConst.NULL_UNSPECIFIED] | None = SchemaConst.NULL_UNSPECIFIED,\n    primary_key: bool | None = False,\n    deferred: _NoArg | bool = _NoArg.NO_ARG,\n    deferred_group: str | None = None,\n    deferred_raiseload: bool | None = None,\n    use_existing_column: bool = False,\n    name: str | None = None,\n    type_: _TypeEngineArgument[Any] | None = None,\n    autoincrement: _AutoIncrementType = \"auto\",\n    doc: str | None = None,\n    key: str | None = None,\n    index: bool | None = None,\n    unique: bool | None = None,\n    info: _InfoType | None = None,\n    onupdate: Any | None = None,\n    insert_default: Any | None = _NoArg.NO_ARG,\n    server_default: _ServerDefaultArgument | None = None,\n    server_onupdate: _ServerOnUpdateArgument | None = None,\n    active_history: bool = False,\n    quote: bool | None = None,\n    system: bool = False,\n    comment: str | None = None,\n    sort_order: _NoArg | int = _NoArg.NO_ARG,\n    dataclass_metadata: _NoArg | Mapping[Any, Any] | None = _NoArg.NO_ARG,\n    **kw: Any\n) -> MappedColumn[Any]\n\ndeclare a new ORM-mapped :class:`_schema.Column` construct\nfor use within :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\nThe :func:`_orm.mapped_column` function provides an ORM-aware and\nPython-typing-compatible construct which is used with\n:ref:`declarative <orm_declarative_mapping>` mappings to indicate an\nattribute that's mapped to a Core :class:`_schema.Column` object.  It\nprovides the equivalent feature as mapping an attribute to a\n:class:`_schema.Column` object directly when using Declarative,\nspecifically when using :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\n.. versionadded:: 2.0\n\n:func:`_orm.mapped_column` is normally used with explicit typing along with\nthe :class:`_orm.Mapped` annotation type, where it can derive the SQL\ntype and nullability for the column based on what's present within the\n:class:`_orm.Mapped` annotation.   It also may be used without annotations\nas a drop-in replacement for how :class:`_schema.Column` is used in\nDeclarative mappings in SQLAlchemy 1.x style.\n\nFor usage examples of :func:`_orm.mapped_column`, see the documentation\nat :ref:`orm_declarative_table`.\n\n.. seealso::\n\n    :ref:`orm_declarative_table` - complete documentation\n\n    :ref:`whatsnew_20_orm_declarative_typing` - migration notes for\n    Declarative mappings using 1.x style mappings\n\n:param __name: String name to give to the :class:`_schema.Column`.  This\n is an optional, positional only argument that if present must be the\n first positional argument passed.  If omitted, the attribute name to\n which the :func:`_orm.mapped_column`  is mapped will be used as the SQL\n column name.\n:param __type: :class:`_types.TypeEngine` type or instance which will\n indicate the datatype to be associated with the :class:`_schema.Column`.\n This is an optional, positional-only argument that if present must\n immediately follow the ``__name`` parameter if present also, or otherwise\n be the first positional parameter.  If omitted, the ultimate type for\n the column may be derived either from the annotated type, or if a\n :class:`_schema.ForeignKey` is present, from the datatype of the\n referenced column.\n:param \\*args: Additional positional arguments include constructs such\n as :class:`_schema.ForeignKey`, :class:`_schema.CheckConstraint`,\n and :class:`_schema.Identity`, which are passed through to the constructed\n :class:`_schema.Column`.\n:param nullable: Optional bool, whether the column should be \"NULL\" or\n \"NOT NULL\". If omitted, the nullability is derived from the type\n annotation based on whether or not ``typing.Optional`` (or its equivalent)\n is present.  ``nullable`` defaults to ``True`` otherwise for non-primary\n key columns, and ``False`` for primary key columns.\n:param primary_key: optional bool, indicates the :class:`_schema.Column`\n would be part of the table's primary key or not.\n:param deferred: Optional bool - this keyword argument is consumed by the\n ORM declarative process, and is not part of the :class:`_schema.Column`\n itself; instead, it indicates that this column should be \"deferred\" for\n loading as though mapped by :func:`_orm.deferred`.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_declarative`\n\n:param deferred_group: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.group` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_group`\n\n:param deferred_raiseload: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.raiseload` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_raiseload`\n\n:param use_existing_column: if True, will attempt to locate the given\n column name on an inherited superclass (typically single inheriting\n superclass), and if present, will not produce a new column, mapping\n to the superclass column as though it were omitted from this class.\n This is used for mixins that add new columns to an inherited superclass.\n\n .. seealso::\n\n    :ref:`orm_inheritance_column_conflicts`\n\n .. versionadded:: 2.0.0b4\n\n:param default: Passed directly to the\n :paramref:`_schema.Column.default` parameter if the\n :paramref:`_orm.mapped_column.insert_default` parameter is not present.\n Additionally, when used with :ref:`orm_declarative_native_dataclasses`,\n indicates a default Python value that should be applied to the keyword\n constructor within the generated ``__init__()`` method.\n\n Note that in the case of dataclass generation when\n :paramref:`_orm.mapped_column.insert_default` is not present, this means\n the :paramref:`_orm.mapped_column.default` value is used in **two**\n places, both the ``__init__()`` method as well as the\n :paramref:`_schema.Column.default` parameter. While this behavior may\n change in a future release, for the moment this tends to \"work out\"; a\n default of ``None`` will mean that the :class:`_schema.Column` gets no\n default generator, whereas a default that refers to a non-``None`` Python\n or SQL expression value will be assigned up front on the object when\n ``__init__()`` is called, which is the same value that the Core\n :class:`_sql.Insert` construct would use in any case, leading to the same\n end result.\n\n .. note:: When using Core level column defaults that are callables to\n    be interpreted by the underlying :class:`_schema.Column` in conjunction\n    with :ref:`ORM-mapped dataclasses\n    <orm_declarative_native_dataclasses>`, especially those that are\n    :ref:`context-aware default functions <context_default_functions>`,\n    **the** :paramref:`_orm.mapped_column.insert_default` **parameter must\n    be used instead**.  This is necessary to disambiguate the callable from\n    being interpreted as a dataclass level default.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param insert_default: Passed directly to the\n :paramref:`_schema.Column.default` parameter; will supersede the value\n of :paramref:`_orm.mapped_column.default` when present, however\n :paramref:`_orm.mapped_column.default` will always apply to the\n constructor default for a dataclasses mapping.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param sort_order: An integer that indicates how this mapped column\n should be sorted compared to the others when the ORM is creating a\n :class:`_schema.Table`. Among mapped columns that have the same\n value the default ordering is used, placing first the mapped columns\n defined in the main class, then the ones in the super classes.\n Defaults to 0. The sort is ascending.\n\n .. versionadded:: 2.0.4\n\n:param active_history=False:\n\n    When ``True``, indicates that the \"previous\" value for a\n    scalar attribute should be loaded when replaced, if not\n    already loaded. Normally, history tracking logic for\n    simple non-primary-key scalar values only needs to be\n    aware of the \"new\" value in order to perform a flush. This\n    flag is available for applications that make use of\n    :func:`.attributes.get_history` or :meth:`.Session.is_modified`\n    which also need to know the \"previous\" value of the attribute.\n\n    .. versionadded:: 2.0.10\n\n:param init: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__init__()``\n method as generated by the dataclass process.\n:param repr: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__repr__()``\n method as generated by the dataclass process.\n:param default_factory: Specific to\n :ref:`orm_declarative_native_dataclasses`,\n specifies a default-value generation function that will take place\n as part of the ``__init__()``\n method as generated by the dataclass process.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n:param compare: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be included in comparison operations when generating the\n ``__eq__()`` and ``__ne__()`` methods for the mapped class.\n\n .. versionadded:: 2.0.0b4\n\n:param kw_only: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be marked as keyword-only when generating the ``__init__()``.\n\n:param hash: Specific to\n :ref:`orm_declarative_native_dataclasses`, controls if this field\n is included when generating the ``__hash__()`` method for the mapped\n class.\n\n .. versionadded:: 2.0.36\n\n:param dataclass_metadata: Specific to\n :ref:`orm_declarative_native_dataclasses`, supplies metadata\n to be attached to the generated dataclass field.\n\n .. versionadded:: 2.0.42\n\n:param \\**kw: All remaining keyword arguments are passed through to the\n constructor for the :class:`_schema.Column`."}, "range": {"start": {"line": 12, "character": 24}, "end": {"line": 12, "character": 37}}}}
+{"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 5, "result": {"contents": {"kind": "plaintext", "value": "(function) def mapped_column(\n    __name_pos: _TypeEngineArgument[Any] | str | SchemaEventTarget | None = None,\n    __type_pos: _TypeEngineArgument[Any] | SchemaEventTarget | None = None,\n    /,\n    *args: SchemaEventTarget,\n    init: _NoArg | bool = _NoArg.NO_ARG,\n    repr: _NoArg | bool = _NoArg.NO_ARG,\n    default: Any | None = _NoArg.NO_ARG,\n    default_factory: _NoArg | (() -> _T@mapped_column) = _NoArg.NO_ARG,\n    compare: _NoArg | bool = _NoArg.NO_ARG,\n    kw_only: _NoArg | bool = _NoArg.NO_ARG,\n    hash: _NoArg | bool | None = _NoArg.NO_ARG,\n    nullable: bool | Literal[SchemaConst.NULL_UNSPECIFIED] | None = SchemaConst.NULL_UNSPECIFIED,\n    primary_key: bool | None = False,\n    deferred: _NoArg | bool = _NoArg.NO_ARG,\n    deferred_group: str | None = None,\n    deferred_raiseload: bool | None = None,\n    use_existing_column: bool = False,\n    name: str | None = None,\n    type_: _TypeEngineArgument[Any] | None = None,\n    autoincrement: _AutoIncrementType = \"auto\",\n    doc: str | None = None,\n    key: str | None = None,\n    index: bool | None = None,\n    unique: bool | None = None,\n    info: _InfoType | None = None,\n    onupdate: Any | None = None,\n    insert_default: Any | None = _NoArg.NO_ARG,\n    server_default: _ServerDefaultArgument | None = None,\n    server_onupdate: _ServerOnUpdateArgument | None = None,\n    active_history: bool = False,\n    quote: bool | None = None,\n    system: bool = False,\n    comment: str | None = None,\n    sort_order: _NoArg | int = _NoArg.NO_ARG,\n    dataclass_metadata: _NoArg | Mapping[Any, Any] | None = _NoArg.NO_ARG,\n    **kw: Any\n) -> MappedColumn[Any]\n\ndeclare a new ORM-mapped :class:`_schema.Column` construct\nfor use within :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\nThe :func:`_orm.mapped_column` function provides an ORM-aware and\nPython-typing-compatible construct which is used with\n:ref:`declarative <orm_declarative_mapping>` mappings to indicate an\nattribute that's mapped to a Core :class:`_schema.Column` object.  It\nprovides the equivalent feature as mapping an attribute to a\n:class:`_schema.Column` object directly when using Declarative,\nspecifically when using :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\n.. versionadded:: 2.0\n\n:func:`_orm.mapped_column` is normally used with explicit typing along with\nthe :class:`_orm.Mapped` annotation type, where it can derive the SQL\ntype and nullability for the column based on what's present within the\n:class:`_orm.Mapped` annotation.   It also may be used without annotations\nas a drop-in replacement for how :class:`_schema.Column` is used in\nDeclarative mappings in SQLAlchemy 1.x style.\n\nFor usage examples of :func:`_orm.mapped_column`, see the documentation\nat :ref:`orm_declarative_table`.\n\n.. seealso::\n\n    :ref:`orm_declarative_table` - complete documentation\n\n    :ref:`whatsnew_20_orm_declarative_typing` - migration notes for\n    Declarative mappings using 1.x style mappings\n\n:param __name: String name to give to the :class:`_schema.Column`.  This\n is an optional, positional only argument that if present must be the\n first positional argument passed.  If omitted, the attribute name to\n which the :func:`_orm.mapped_column`  is mapped will be used as the SQL\n column name.\n:param __type: :class:`_types.TypeEngine` type or instance which will\n indicate the datatype to be associated with the :class:`_schema.Column`.\n This is an optional, positional-only argument that if present must\n immediately follow the ``__name`` parameter if present also, or otherwise\n be the first positional parameter.  If omitted, the ultimate type for\n the column may be derived either from the annotated type, or if a\n :class:`_schema.ForeignKey` is present, from the datatype of the\n referenced column.\n:param \\*args: Additional positional arguments include constructs such\n as :class:`_schema.ForeignKey`, :class:`_schema.CheckConstraint`,\n and :class:`_schema.Identity`, which are passed through to the constructed\n :class:`_schema.Column`.\n:param nullable: Optional bool, whether the column should be \"NULL\" or\n \"NOT NULL\". If omitted, the nullability is derived from the type\n annotation based on whether or not ``typing.Optional`` (or its equivalent)\n is present.  ``nullable`` defaults to ``True`` otherwise for non-primary\n key columns, and ``False`` for primary key columns.\n:param primary_key: optional bool, indicates the :class:`_schema.Column`\n would be part of the table's primary key or not.\n:param deferred: Optional bool - this keyword argument is consumed by the\n ORM declarative process, and is not part of the :class:`_schema.Column`\n itself; instead, it indicates that this column should be \"deferred\" for\n loading as though mapped by :func:`_orm.deferred`.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_declarative`\n\n:param deferred_group: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.group` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_group`\n\n:param deferred_raiseload: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.raiseload` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_raiseload`\n\n:param use_existing_column: if True, will attempt to locate the given\n column name on an inherited superclass (typically single inheriting\n superclass), and if present, will not produce a new column, mapping\n to the superclass column as though it were omitted from this class.\n This is used for mixins that add new columns to an inherited superclass.\n\n .. seealso::\n\n    :ref:`orm_inheritance_column_conflicts`\n\n .. versionadded:: 2.0.0b4\n\n:param default: Passed directly to the\n :paramref:`_schema.Column.default` parameter if the\n :paramref:`_orm.mapped_column.insert_default` parameter is not present.\n Additionally, when used with :ref:`orm_declarative_native_dataclasses`,\n indicates a default Python value that should be applied to the keyword\n constructor within the generated ``__init__()`` method.\n\n Note that in the case of dataclass generation when\n :paramref:`_orm.mapped_column.insert_default` is not present, this means\n the :paramref:`_orm.mapped_column.default` value is used in **two**\n places, both the ``__init__()`` method as well as the\n :paramref:`_schema.Column.default` parameter. While this behavior may\n change in a future release, for the moment this tends to \"work out\"; a\n default of ``None`` will mean that the :class:`_schema.Column` gets no\n default generator, whereas a default that refers to a non-``None`` Python\n or SQL expression value will be assigned up front on the object when\n ``__init__()`` is called, which is the same value that the Core\n :class:`_sql.Insert` construct would use in any case, leading to the same\n end result.\n\n .. note:: When using Core level column defaults that are callables to\n    be interpreted by the underlying :class:`_schema.Column` in conjunction\n    with :ref:`ORM-mapped dataclasses\n    <orm_declarative_native_dataclasses>`, especially those that are\n    :ref:`context-aware default functions <context_default_functions>`,\n    **the** :paramref:`_orm.mapped_column.insert_default` **parameter must\n    be used instead**.  This is necessary to disambiguate the callable from\n    being interpreted as a dataclass level default.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param insert_default: Passed directly to the\n :paramref:`_schema.Column.default` parameter; will supersede the value\n of :paramref:`_orm.mapped_column.default` when present, however\n :paramref:`_orm.mapped_column.default` will always apply to the\n constructor default for a dataclasses mapping.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param sort_order: An integer that indicates how this mapped column\n should be sorted compared to the others when the ORM is creating a\n :class:`_schema.Table`. Among mapped columns that have the same\n value the default ordering is used, placing first the mapped columns\n defined in the main class, then the ones in the super classes.\n Defaults to 0. The sort is ascending.\n\n .. versionadded:: 2.0.4\n\n:param active_history=False:\n\n    When ``True``, indicates that the \"previous\" value for a\n    scalar attribute should be loaded when replaced, if not\n    already loaded. Normally, history tracking logic for\n    simple non-primary-key scalar values only needs to be\n    aware of the \"new\" value in order to perform a flush. This\n    flag is available for applications that make use of\n    :func:`.attributes.get_history` or :meth:`.Session.is_modified`\n    which also need to know the \"previous\" value of the attribute.\n\n    .. versionadded:: 2.0.10\n\n:param init: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__init__()``\n method as generated by the dataclass process.\n:param repr: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__repr__()``\n method as generated by the dataclass process.\n:param default_factory: Specific to\n :ref:`orm_declarative_native_dataclasses`,\n specifies a default-value generation function that will take place\n as part of the ``__init__()``\n method as generated by the dataclass process.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n:param compare: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be included in comparison operations when generating the\n ``__eq__()`` and ``__ne__()`` methods for the mapped class.\n\n .. versionadded:: 2.0.0b4\n\n:param kw_only: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be marked as keyword-only when generating the ``__init__()``.\n\n:param hash: Specific to\n :ref:`orm_declarative_native_dataclasses`, controls if this field\n is included when generating the ``__hash__()`` method for the mapped\n class.\n\n .. versionadded:: 2.0.36\n\n:param dataclass_metadata: Specific to\n :ref:`orm_declarative_native_dataclasses`, supplies metadata\n to be attached to the generated dataclass field.\n\n .. versionadded:: 2.0.42\n\n:param \\**kw: All remaining keyword arguments are passed through to the\n constructor for the :class:`_schema.Column`."}, "range": {"start": {"line": 12, "character": 24}, "end": {"line": 12, "character": 37}}}}
 {"suite": "sqlalchemy", "label": "mapped class definition", "method": "textDocument/definition", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 16, "iteration": 1, "result": [{"uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "range": {"start": {"line": 15, "character": 0}, "end": {"line": 15, "character": 12}}}]}
 {"suite": "sqlalchemy", "label": "mapped class definition", "method": "textDocument/definition", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 16, "character": 16, "iteration": 2, "result": [{"uri": "file:///home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "range": {"start": {"line": 15, "character": 0}, "end": {"line": 15, "character": 12}}}]}
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-{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 1, "result": {"contents": {"kind": "plaintext", "value": "(method) def scalars(\n    statement: TypedReturnsRows[Tuple[_T@scalars]],\n    params: _CoreAnyExecuteParams | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter = util.EMPTY_DICT,\n    bind_arguments: _BindArguments | None = None,\n    **kw: Any\n) -> ScalarResult[_T@scalars]\n\nExecute a statement and return the results as scalars.\n\nUsage and parameters are the same as that of\n:meth:`_orm.Session.execute`; the return result is a\n:class:`_result.ScalarResult` filtering object which\nwill return single elements rather than :class:`_row.Row` objects.\n\n:return:  a :class:`_result.ScalarResult` object\n\n.. versionadded:: 1.4.24 Added :meth:`_orm.Session.scalars`\n\n.. versionadded:: 1.4.26 Added :meth:`_orm.scoped_session.scalars`\n\n.. seealso::\n\n    :ref:`orm_queryguide_select_orm_entities` - contrasts the behavior\n    of :meth:`_orm.Session.execute` to :meth:`_orm.Session.scalars`"}, "range": {"start": {"line": 18, "character": 21}, "end": {"line": 18, "character": 28}}}}
-{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 2, "result": {"contents": {"kind": "plaintext", "value": "(method) def scalars(\n    statement: TypedReturnsRows[Tuple[_T@scalars]],\n    params: _CoreAnyExecuteParams | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter = util.EMPTY_DICT,\n    bind_arguments: _BindArguments | None = None,\n    **kw: Any\n) -> ScalarResult[_T@scalars]\n\nExecute a statement and return the results as scalars.\n\nUsage and parameters are the same as that of\n:meth:`_orm.Session.execute`; the return result is a\n:class:`_result.ScalarResult` filtering object which\nwill return single elements rather than :class:`_row.Row` objects.\n\n:return:  a :class:`_result.ScalarResult` object\n\n.. versionadded:: 1.4.24 Added :meth:`_orm.Session.scalars`\n\n.. versionadded:: 1.4.26 Added :meth:`_orm.scoped_session.scalars`\n\n.. seealso::\n\n    :ref:`orm_queryguide_select_orm_entities` - contrasts the behavior\n    of :meth:`_orm.Session.execute` to :meth:`_orm.Session.scalars`"}, "range": {"start": {"line": 18, "character": 21}, "end": {"line": 18, "character": 28}}}}
-{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 3, "result": {"contents": {"kind": "plaintext", "value": "(method) def scalars(\n    statement: TypedReturnsRows[Tuple[_T@scalars]],\n    params: _CoreAnyExecuteParams | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter = util.EMPTY_DICT,\n    bind_arguments: _BindArguments | None = None,\n    **kw: Any\n) -> ScalarResult[_T@scalars]\n\nExecute a statement and return the results as scalars.\n\nUsage and parameters are the same as that of\n:meth:`_orm.Session.execute`; the return result is a\n:class:`_result.ScalarResult` filtering object which\nwill return single elements rather than :class:`_row.Row` objects.\n\n:return:  a :class:`_result.ScalarResult` object\n\n.. versionadded:: 1.4.24 Added :meth:`_orm.Session.scalars`\n\n.. versionadded:: 1.4.26 Added :meth:`_orm.scoped_session.scalars`\n\n.. seealso::\n\n    :ref:`orm_queryguide_select_orm_entities` - contrasts the behavior\n    of :meth:`_orm.Session.execute` to :meth:`_orm.Session.scalars`"}, "range": {"start": {"line": 18, "character": 21}, "end": {"line": 18, "character": 28}}}}
-{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 4, "result": {"contents": {"kind": "plaintext", "value": "(method) def scalars(\n    statement: TypedReturnsRows[Tuple[_T@scalars]],\n    params: _CoreAnyExecuteParams | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter = util.EMPTY_DICT,\n    bind_arguments: _BindArguments | None = None,\n    **kw: Any\n) -> ScalarResult[_T@scalars]\n\nExecute a statement and return the results as scalars.\n\nUsage and parameters are the same as that of\n:meth:`_orm.Session.execute`; the return result is a\n:class:`_result.ScalarResult` filtering object which\nwill return single elements rather than :class:`_row.Row` objects.\n\n:return:  a :class:`_result.ScalarResult` object\n\n.. versionadded:: 1.4.24 Added :meth:`_orm.Session.scalars`\n\n.. versionadded:: 1.4.26 Added :meth:`_orm.scoped_session.scalars`\n\n.. seealso::\n\n    :ref:`orm_queryguide_select_orm_entities` - contrasts the behavior\n    of :meth:`_orm.Session.execute` to :meth:`_orm.Session.scalars`"}, "range": {"start": {"line": 18, "character": 21}, "end": {"line": 18, "character": 28}}}}
-{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 5, "result": {"contents": {"kind": "plaintext", "value": "(method) def scalars(\n    statement: TypedReturnsRows[Tuple[_T@scalars]],\n    params: _CoreAnyExecuteParams | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter = util.EMPTY_DICT,\n    bind_arguments: _BindArguments | None = None,\n    **kw: Any\n) -> ScalarResult[_T@scalars]\n\nExecute a statement and return the results as scalars.\n\nUsage and parameters are the same as that of\n:meth:`_orm.Session.execute`; the return result is a\n:class:`_result.ScalarResult` filtering object which\nwill return single elements rather than :class:`_row.Row` objects.\n\n:return:  a :class:`_result.ScalarResult` object\n\n.. versionadded:: 1.4.24 Added :meth:`_orm.Session.scalars`\n\n.. versionadded:: 1.4.26 Added :meth:`_orm.scoped_session.scalars`\n\n.. seealso::\n\n    :ref:`orm_queryguide_select_orm_entities` - contrasts the behavior\n    of :meth:`_orm.Session.execute` to :meth:`_orm.Session.scalars`"}, "range": {"start": {"line": 18, "character": 21}, "end": {"line": 18, "character": 28}}}}
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+{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 1, "result": {"contents": {"kind": "plaintext", "value": "(method) def scalars(\n    statement: TypedReturnsRows[_T@scalars],\n    params: _CoreAnyExecuteParams | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter = util.EMPTY_DICT,\n    bind_arguments: _BindArguments | None = None,\n    **kw: Any\n) -> ScalarResult[_T@scalars]\n\nExecute a statement and return the results as scalars.\n\nUsage and parameters are the same as that of\n:meth:`_orm.Session.execute`; the return result is a\n:class:`_result.ScalarResult` filtering object which\nwill return single elements rather than :class:`_row.Row` objects.\n\n:return:  a :class:`_result.ScalarResult` object\n\n.. versionadded:: 1.4.24 Added :meth:`_orm.Session.scalars`\n\n.. versionadded:: 1.4.26 Added :meth:`_orm.scoped_session.scalars`\n\n.. seealso::\n\n    :ref:`orm_queryguide_select_orm_entities` - contrasts the behavior\n    of :meth:`_orm.Session.execute` to :meth:`_orm.Session.scalars`"}, "range": {"start": {"line": 18, "character": 21}, "end": {"line": 18, "character": 28}}}}
+{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 2, "result": {"contents": {"kind": "plaintext", "value": "(method) def scalars(\n    statement: TypedReturnsRows[_T@scalars],\n    params: _CoreAnyExecuteParams | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter = util.EMPTY_DICT,\n    bind_arguments: _BindArguments | None = None,\n    **kw: Any\n) -> ScalarResult[_T@scalars]\n\nExecute a statement and return the results as scalars.\n\nUsage and parameters are the same as that of\n:meth:`_orm.Session.execute`; the return result is a\n:class:`_result.ScalarResult` filtering object which\nwill return single elements rather than :class:`_row.Row` objects.\n\n:return:  a :class:`_result.ScalarResult` object\n\n.. versionadded:: 1.4.24 Added :meth:`_orm.Session.scalars`\n\n.. versionadded:: 1.4.26 Added :meth:`_orm.scoped_session.scalars`\n\n.. seealso::\n\n    :ref:`orm_queryguide_select_orm_entities` - contrasts the behavior\n    of :meth:`_orm.Session.execute` to :meth:`_orm.Session.scalars`"}, "range": {"start": {"line": 18, "character": 21}, "end": {"line": 18, "character": 28}}}}
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+{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 4, "result": {"contents": {"kind": "plaintext", "value": "(method) def scalars(\n    statement: TypedReturnsRows[_T@scalars],\n    params: _CoreAnyExecuteParams | None = None,\n    *,\n    execution_options: OrmExecuteOptionsParameter = util.EMPTY_DICT,\n    bind_arguments: _BindArguments | None = None,\n    **kw: Any\n) -> ScalarResult[_T@scalars]\n\nExecute a statement and return the results as scalars.\n\nUsage and parameters are the same as that of\n:meth:`_orm.Session.execute`; the return result is a\n:class:`_result.ScalarResult` filtering object which\nwill return single elements rather than :class:`_row.Row` objects.\n\n:return:  a :class:`_result.ScalarResult` object\n\n.. versionadded:: 1.4.24 Added :meth:`_orm.Session.scalars`\n\n.. versionadded:: 1.4.26 Added :meth:`_orm.scoped_session.scalars`\n\n.. seealso::\n\n    :ref:`orm_queryguide_select_orm_entities` - contrasts the behavior\n    of :meth:`_orm.Session.execute` to :meth:`_orm.Session.scalars`"}, "range": {"start": {"line": 18, "character": 21}, "end": {"line": 18, "character": 28}}}}
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-          "started_at_unix": 1790230063.285088,
+          "started_at_unix": 1790316444.117487,
           "bytes_sent": 319,
           "bytes_received": 0,
           "request_id": null,
@@ -17216,9 +17216,9 @@
         {
           "kind": "notification",
           "method": "textDocument/didChange",
-          "duration_ms": 0.02310299998953269,
+          "duration_ms": 0.02201099999865619,
           "success": true,
-          "started_at_unix": 1790230063.285139,
+          "started_at_unix": 1790316444.1175377,
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           "bytes_received": 0,
           "request_id": null,
@@ -17235,9 +17235,9 @@
         {
           "kind": "request",
           "method": "textDocument/hover",
-          "duration_ms": 30.494305999980043,
+          "duration_ms": 32.97430699998927,
           "success": true,
-          "started_at_unix": 1790230063.2851748,
+          "started_at_unix": 1790316444.1175718,
           "bytes_sent": 241,
           "bytes_received": 614,
           "request_id": 31,
@@ -17265,9 +17265,9 @@
         {
           "kind": "notification",
           "method": "textDocument/didChange",
-          "duration_ms": 0.032341000007818366,
+          "duration_ms": 0.03681799998389579,
           "success": true,
-          "started_at_unix": 1790230063.31576,
+          "started_at_unix": 1790316444.1506689,
           "bytes_sent": 319,
           "bytes_received": 0,
           "request_id": null,
@@ -17284,9 +17284,9 @@
         {
           "kind": "notification",
           "method": "textDocument/didClose",
-          "duration_ms": 0.02797199999804434,
+          "duration_ms": 0.021800999974175284,
           "success": true,
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           "bytes_sent": 198,
           "bytes_received": 0,
           "request_id": null,
@@ -17299,9 +17299,9 @@
         {
           "kind": "request",
           "method": "shutdown",
-          "duration_ms": 2.193211000019346,
+          "duration_ms": 1.92296299999839,
           "success": true,
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           "bytes_sent": 67,
           "bytes_received": 61,
           "request_id": 32,
@@ -17319,9 +17319,9 @@
         {
           "kind": "notification",
           "method": "exit",
-          "duration_ms": 0.029665999988992553,
+          "duration_ms": 0.027302000006557137,
           "success": true,
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diff --git a/latest-results/summary-20260924T060612Z.csv b/latest-results/summary-20260924T060612Z.csv
deleted file mode 100644
index 99197e1..0000000
--- a/latest-results/summary-20260924T060612Z.csv
+++ /dev/null
@@ -1,132 +0,0 @@
-report_type,baseline_server_id,server_id,server_name,suite_name,scenario_name,point_label,method,method_display,success,mean_ms,p95_ms,non_empty_rate,result_metric_name,result_metric_label,result_metric_value,result_metric_delta,validation_passed,validation_failure_count
-benchmark,pyright,pyright,Pyright,data_science,,dataframe completion,textDocument/completion,textDocument/completion,True,6.246705999990354,11.736555999993925,1.0,completion_item_count,Completions found,201.0,0.0,True,0
-benchmark,pyright,ty,Ty,data_science,,dataframe completion,textDocument/completion,textDocument/completion,True,1.5998021999962475,1.7495510000230752,1.0,completion_item_count,Completions found,223.0,22.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,data_science,,dataframe completion,textDocument/completion,textDocument/completion,True,88.89723880000702,350.32461340000503,1.0,completion_item_count,Completions found,250.0,49.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,data_science,,dataframe completion,textDocument/completion,textDocument/completion,True,225.65622320000784,419.590062400016,1.0,completion_item_count,Completions found,188.0,-13.0,True,0
-benchmark,pyright,pyright,Pyright,data_science,,dataframe describe hover,textDocument/hover,textDocument/hover,True,1.0725002000071981,1.43732200000386,1.0,hover_text_char_count,Hover length,4019.0,0.0,True,0
-benchmark,pyright,ty,Ty,data_science,,dataframe describe hover,textDocument/hover,textDocument/hover,True,0.31673480000335985,0.3343256000107431,1.0,hover_text_char_count,Hover length,4232.0,213.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,data_science,,dataframe describe hover,textDocument/hover,textDocument/hover,True,2.450170600002366,2.704117999974187,1.0,hover_text_char_count,Hover length,3182.0,-837.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,data_science,,dataframe describe hover,textDocument/hover,textDocument/hover,True,179.84956899999816,181.68842959998983,1.0,hover_text_char_count,Hover length,4134.0,115.0,True,0
-benchmark,pyright,pyright,Pyright,data_science,,summarize definition,textDocument/definition,textDocument/definition,True,0.3614308000010169,0.4121761999840601,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,ty,Ty,data_science,,summarize definition,textDocument/definition,textDocument/definition,True,0.2151736000200799,0.22102240003505358,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,data_science,,summarize definition,textDocument/definition,textDocument/definition,True,0.20882219997702123,0.22018979996119015,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,data_science,,summarize definition,textDocument/definition,textDocument/definition,True,1.0535559999993893,1.1067097999784892,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,pyright,Pyright,data_science,,edit array then complete (edit+completion),textDocument/completion,textDocument/completion,True,336.7102377999913,488.71699379998284,1.0,completion_item_count,Completions found,168.0,0.0,True,0
-benchmark,pyright,ty,Ty,data_science,,edit array then complete (edit+completion),textDocument/completion,textDocument/completion,True,12.057412000012846,14.404845600040515,1.0,completion_item_count,Completions found,168.0,0.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,data_science,,edit array then complete (edit+completion),textDocument/completion,textDocument/completion,True,32.98749639999414,50.34154339998622,1.0,completion_item_count,Completions found,149.0,-19.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,data_science,,edit array then complete (edit+completion),textDocument/completion,textDocument/completion,False,4.355405800015433,4.622928200001297,0.0,completion_item_count,Completions found,0.0,-168.0,False,10
-benchmark,pyright,pyright,Pyright,data_science,,edit array then hover (edit+hover),textDocument/hover,textDocument/hover,True,32.55502559999286,36.961372000007486,1.0,hover_text_char_count,Hover length,278.0,0.0,True,0
-benchmark,pyright,ty,Ty,data_science,,edit array then hover (edit+hover),textDocument/hover,textDocument/hover,True,5.375352400005795,5.634968000003937,1.0,hover_text_char_count,Hover length,267.0,-11.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,data_science,,edit array then hover (edit+hover),textDocument/hover,textDocument/hover,True,2.499962400008826,2.529197400008343,1.0,hover_text_char_count,Hover length,2546.0,2268.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,data_science,,edit array then hover (edit+hover),textDocument/hover,textDocument/hover,True,165.9490723999852,169.90160979999018,1.0,hover_text_char_count,Hover length,5662.0,5384.0,True,0
-benchmark,pyright,pyright,Pyright,django,,queryset completion,textDocument/completion,textDocument/completion,True,4.613101000006736,7.3540825999884865,1.0,completion_item_count,Completions found,10.0,0.0,True,0
-benchmark,pyright,ty,Ty,django,,queryset completion,textDocument/completion,textDocument/completion,True,4.722853800012672,7.072524400030033,1.0,completion_item_count,Completions found,261.0,251.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,django,,queryset completion,textDocument/completion,textDocument/completion,True,15.416242399987823,60.47047019998216,1.0,completion_item_count,Completions found,15.0,5.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,django,,queryset completion,textDocument/completion,textDocument/completion,True,208.64546419999215,638.3478991999708,1.0,completion_item_count,Completions found,2.0,-8.0,True,0
-benchmark,pyright,pyright,Pyright,django,,queryset filter hover,textDocument/hover,textDocument/hover,True,0.5521076000036373,0.6148312000050282,1.0,hover_text_char_count,Hover length,57.0,0.0,True,0
-benchmark,pyright,ty,Ty,django,,queryset filter hover,textDocument/hover,textDocument/hover,True,0.2490494000085164,0.2807130000064717,1.0,hover_text_char_count,Hover length,46.0,-11.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,django,,queryset filter hover,textDocument/hover,textDocument/hover,True,0.30161439998437345,0.39092000000664484,1.0,hover_text_char_count,Hover length,298.0,241.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,django,,queryset filter hover,textDocument/hover,textDocument/hover,True,154.4332375999943,156.33964319998768,1.0,hover_text_char_count,Hover length,57.0,0.0,True,0
-benchmark,pyright,pyright,Pyright,django,,model definition,textDocument/definition,textDocument/definition,True,0.3754730000196105,0.43026980000604453,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,ty,Ty,django,,model definition,textDocument/definition,textDocument/definition,True,0.2065622000031908,0.2104755999880581,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,django,,model definition,textDocument/definition,textDocument/definition,True,0.21893879998060584,0.24476900002809998,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,django,,model definition,textDocument/definition,textDocument/definition,True,1.052736599990567,1.07793979999542,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,pyright,Pyright,django,,edit queryset then complete (edit+completion),textDocument/completion,textDocument/completion,True,26.469747999988158,29.563689999986305,1.0,completion_item_count,Completions found,104.0,0.0,True,0
-benchmark,pyright,ty,Ty,django,,edit queryset then complete (edit+completion),textDocument/completion,textDocument/completion,True,4.508504400007496,4.7622688000046765,1.0,completion_item_count,Completions found,104.0,0.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,django,,edit queryset then complete (edit+completion),textDocument/completion,textDocument/completion,True,6.488708000006227,20.113625600015435,1.0,completion_item_count,Completions found,83.0,-21.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,django,,edit queryset then complete (edit+completion),textDocument/completion,textDocument/completion,True,252.13550659999555,286.33380939998005,1.0,completion_item_count,Completions found,143.0,39.0,True,0
-benchmark,pyright,pyright,Pyright,django,,edit queryset then hover (edit+hover),textDocument/hover,textDocument/hover,True,38.902197799995974,44.11498939996363,1.0,hover_text_char_count,Hover length,83.0,0.0,True,0
-benchmark,pyright,ty,Ty,django,,edit queryset then hover (edit+hover),textDocument/hover,textDocument/hover,True,3.058043999999427,3.103694599985829,1.0,hover_text_char_count,Hover length,100.0,17.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,django,,edit queryset then hover (edit+hover),textDocument/hover,textDocument/hover,True,0.6387112000084016,0.6569010000362141,1.0,hover_text_char_count,Hover length,858.0,775.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,django,,edit queryset then hover (edit+hover),textDocument/hover,textDocument/hover,True,244.54430819998834,249.04789619995427,1.0,hover_text_char_count,Hover length,71.0,-12.0,True,0
-benchmark,pyright,pyright,Pyright,pandas,,report dataframe completion,textDocument/completion,textDocument/completion,True,78.84473600001911,265.02482180002283,1.0,completion_item_count,Completions found,271.2,0.0,True,0
-benchmark,pyright,ty,Ty,pandas,,report dataframe completion,textDocument/completion,textDocument/completion,True,18.231262799986325,22.002172599968617,1.0,completion_item_count,Completions found,1000.0,728.8,True,0
-benchmark,pyright,pyrefly,Pyrefly,pandas,,report dataframe completion,textDocument/completion,textDocument/completion,True,81.20871959999931,322.91587899998143,1.0,completion_item_count,Completions found,16.0,-255.2,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,pandas,,report dataframe completion,textDocument/completion,textDocument/completion,True,77.60250339999857,157.38987999997104,1.0,completion_item_count,Completions found,6.0,-265.2,True,0
-benchmark,pyright,pyright,Pyright,pandas,,dataframe groupby hover,textDocument/hover,textDocument/hover,True,0.7684504000053494,0.8835183999963192,1.0,hover_text_char_count,Hover length,350.0,0.0,True,0
-benchmark,pyright,ty,Ty,pandas,,dataframe groupby hover,textDocument/hover,textDocument/hover,True,0.2837387999875318,0.31300959999498446,1.0,hover_text_char_count,Hover length,329.0,-21.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,pandas,,dataframe groupby hover,textDocument/hover,textDocument/hover,True,4.6673986000200784,5.883399200024542,1.0,hover_text_char_count,Hover length,2759.0,2409.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,pandas,,dataframe groupby hover,textDocument/hover,textDocument/hover,True,191.7019580000101,193.30400460000874,1.0,hover_text_char_count,Hover length,301.0,-49.0,True,0
-benchmark,pyright,pyright,Pyright,pandas,,build report definition,textDocument/definition,textDocument/definition,True,0.4377857999884327,0.4983811999977661,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,ty,Ty,pandas,,build report definition,textDocument/definition,textDocument/definition,True,0.2131444000042393,0.21615600001041457,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,pandas,,build report definition,textDocument/definition,textDocument/definition,True,2.932658600002469,2.9403128000126344,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,pandas,,build report definition,textDocument/definition,textDocument/definition,True,1.0525083999937124,1.0998551999932715,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,pyright,Pyright,pandas,,edit dataframe then complete (edit+completion),textDocument/completion,textDocument/completion,True,840.8274500000061,1378.0332010000166,1.0,completion_item_count,Completions found,440.0,0.0,True,0
-benchmark,pyright,ty,Ty,pandas,,edit dataframe then complete (edit+completion),textDocument/completion,textDocument/completion,True,16.338420399995357,17.180635599993366,1.0,completion_item_count,Completions found,448.0,8.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,pandas,,edit dataframe then complete (edit+completion),textDocument/completion,textDocument/completion,True,46.4066588000037,68.9530879999893,1.0,completion_item_count,Completions found,256.0,-184.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,pandas,,edit dataframe then complete (edit+completion),textDocument/completion,textDocument/completion,True,227.42545660001952,232.47459500001924,1.0,completion_item_count,Completions found,441.0,1.0,True,0
-benchmark,pyright,pyright,Pyright,pandas,,edit dataframe then hover (edit+hover),textDocument/hover,textDocument/hover,True,12.796680200005994,15.53772280000203,1.0,hover_text_char_count,Hover length,4292.0,0.0,True,0
-benchmark,pyright,ty,Ty,pandas,,edit dataframe then hover (edit+hover),textDocument/hover,textDocument/hover,True,4.448672000000897,4.5481383999913305,1.0,hover_text_char_count,Hover length,4441.0,149.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,pandas,,edit dataframe then hover (edit+hover),textDocument/hover,textDocument/hover,True,21.951202599996122,82.99898139999867,1.0,hover_text_char_count,Hover length,943.0,-3349.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,pandas,,edit dataframe then hover (edit+hover),textDocument/hover,textDocument/hover,True,181.80179620001127,183.43313520002766,1.0,hover_text_char_count,Hover length,232.0,-4060.0,True,0
-benchmark,pyright,pyright,Pyright,sqlalchemy,,query completion,textDocument/completion,textDocument/completion,True,7.489866799983247,13.297605999980533,1.0,completion_item_count,Completions found,1.0,0.0,True,0
-benchmark,pyright,ty,Ty,sqlalchemy,,query completion,textDocument/completion,textDocument/completion,True,3.2911438000041926,7.1976806000066045,1.0,completion_item_count,Completions found,1.0,0.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,sqlalchemy,,query completion,textDocument/completion,textDocument/completion,True,84.28802860001952,336.198008600013,1.0,completion_item_count,Completions found,15.0,14.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,sqlalchemy,,query completion,textDocument/completion,textDocument/completion,True,168.86717619997853,427.4770792000139,1.0,completion_item_count,Completions found,1.0,0.0,True,0
-benchmark,pyright,pyright,Pyright,sqlalchemy,,sessionmaker hover,textDocument/hover,textDocument/hover,True,1.2921226000003116,1.6312232000245785,1.0,hover_text_char_count,Hover length,10572.0,0.0,True,0
-benchmark,pyright,ty,Ty,sqlalchemy,,sessionmaker hover,textDocument/hover,textDocument/hover,True,0.40268639999112565,0.42056779999484206,1.0,hover_text_char_count,Hover length,10621.0,49.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,sqlalchemy,,sessionmaker hover,textDocument/hover,textDocument/hover,True,3.2585961999984647,5.048299999998562,1.0,hover_text_char_count,Hover length,15232.0,4660.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,sqlalchemy,,sessionmaker hover,textDocument/hover,textDocument/hover,True,323.91504439997334,324.78789919996416,1.0,hover_text_char_count,Hover length,10498.0,-74.0,True,0
-benchmark,pyright,pyright,Pyright,sqlalchemy,,mapped class definition,textDocument/definition,textDocument/definition,True,0.41386440000223956,0.445487000013145,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,ty,Ty,sqlalchemy,,mapped class definition,textDocument/definition,textDocument/definition,True,0.2204440000127761,0.22495700001172736,1.0,location_count,Definitions found,2.0,1.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,sqlalchemy,,mapped class definition,textDocument/definition,textDocument/definition,True,2.7265608000107022,2.9315401999838286,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,sqlalchemy,,mapped class definition,textDocument/definition,textDocument/definition,True,1.0958575999893583,1.1440836000019772,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,pyright,Pyright,sqlalchemy,,edit query then complete (edit+completion),textDocument/completion,textDocument/completion,True,141.14810300001182,205.90983680002637,1.0,completion_item_count,Completions found,38.0,0.0,True,0
-benchmark,pyright,ty,Ty,sqlalchemy,,edit query then complete (edit+completion),textDocument/completion,textDocument/completion,True,4.679966399999103,4.949722599974393,1.0,completion_item_count,Completions found,23.0,-15.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,sqlalchemy,,edit query then complete (edit+completion),textDocument/completion,textDocument/completion,True,3.9684136000118997,6.369349400006286,1.0,completion_item_count,Completions found,17.0,-21.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,sqlalchemy,,edit query then complete (edit+completion),textDocument/completion,textDocument/completion,False,39.089523000052395,39.8811546000843,0.0,completion_item_count,Completions found,0.0,-38.0,False,10
-benchmark,pyright,pyright,Pyright,sqlalchemy,,edit session then hover (edit+hover),textDocument/hover,textDocument/hover,True,90.86225660000764,98.35222000000385,1.0,hover_text_char_count,Hover length,900.0,0.0,True,0
-benchmark,pyright,ty,Ty,sqlalchemy,,edit session then hover (edit+hover),textDocument/hover,textDocument/hover,True,4.318042200009131,4.403075400000489,1.0,hover_text_char_count,Hover length,958.0,58.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,sqlalchemy,,edit session then hover (edit+hover),textDocument/hover,textDocument/hover,True,7.934004999992794,24.730573999977416,1.0,hover_text_char_count,Hover length,2246.0,1346.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,sqlalchemy,,edit session then hover (edit+hover),textDocument/hover,textDocument/hover,False,39.28013000002011,39.418098800069856,0.0,hover_text_char_count,Hover length,0.0,-900.0,False,10
-benchmark,pyright,pyright,Pyright,transformers,,classifier pipeline completion,textDocument/completion,textDocument/completion,True,50.54470919999403,82.6501535999796,1.0,completion_item_count,Completions found,123.0,0.0,True,0
-benchmark,pyright,ty,Ty,transformers,,classifier pipeline completion,textDocument/completion,textDocument/completion,True,11.32141440000396,12.376205400016715,1.0,completion_item_count,Completions found,777.0,654.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,transformers,,classifier pipeline completion,textDocument/completion,textDocument/completion,True,896.2939033999986,3557.035683400021,1.0,completion_item_count,Completions found,15.0,-108.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,transformers,,classifier pipeline completion,textDocument/completion,textDocument/completion,True,151.6793767999843,154.56306759999734,1.0,completion_item_count,Completions found,2.0,-121.0,True,0
-benchmark,pyright,pyright,Pyright,transformers,,pipeline hover,textDocument/hover,textDocument/hover,True,0.4536455999982536,0.5106141999817737,1.0,hover_text_char_count,Hover length,34.0,0.0,True,0
-benchmark,pyright,ty,Ty,transformers,,pipeline hover,textDocument/hover,textDocument/hover,True,0.33451619999596005,0.6706773999781034,1.0,hover_text_char_count,Hover length,7.0,-27.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,transformers,,pipeline hover,textDocument/hover,textDocument/hover,True,3.534234000005654,5.351762799989501,1.0,hover_text_char_count,Hover length,48.0,14.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,transformers,,pipeline hover,textDocument/hover,textDocument/hover,False,2767.879278999999,2795.7745658000476,0.0,hover_text_char_count,Hover length,0.0,-34.0,False,10
-benchmark,pyright,pyright,Pyright,transformers,,auto tokenizer definition,textDocument/definition,textDocument/definition,True,0.41859340000200973,0.47540999999000627,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,ty,Ty,transformers,,auto tokenizer definition,textDocument/definition,textDocument/definition,True,0.27676979999569085,0.30869160003703655,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,transformers,,auto tokenizer definition,textDocument/definition,textDocument/definition,True,1.1846041999888257,2.5620104000040556,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,transformers,,auto tokenizer definition,textDocument/definition,textDocument/definition,True,2199.9941071999956,2243.3856017999688,1.0,location_count,Definitions found,1.0,0.0,True,0
-benchmark,pyright,pyright,Pyright,transformers,,edit prediction then complete (edit+completion),textDocument/completion,textDocument/completion,True,6.723479399988719,9.09340319999501,0.0,completion_item_count,Completions found,0.0,0.0,True,0
-benchmark,pyright,ty,Ty,transformers,,edit prediction then complete (edit+completion),textDocument/completion,textDocument/completion,True,5.966992200001187,6.137207999995553,1.0,completion_item_count,Completions found,23.0,23.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,transformers,,edit prediction then complete (edit+completion),textDocument/completion,textDocument/completion,True,25.020183599986012,37.31301299998222,0.0,completion_item_count,Completions found,0.0,0.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,transformers,,edit prediction then complete (edit+completion),textDocument/completion,textDocument/completion,True,2.7932504000091285,3.054755200037107,0.0,completion_item_count,Completions found,0.0,0.0,True,0
-benchmark,pyright,pyright,Pyright,transformers,,edit tokenizer then hover (edit+hover),textDocument/hover,textDocument/hover,True,483.5860442000012,517.7058710000097,1.0,hover_text_char_count,Hover length,30.0,0.0,True,0
-benchmark,pyright,ty,Ty,transformers,,edit tokenizer then hover (edit+hover),textDocument/hover,textDocument/hover,True,5.746371799989447,5.790829199997916,1.0,hover_text_char_count,Hover length,7.0,-23.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,transformers,,edit tokenizer then hover (edit+hover),textDocument/hover,textDocument/hover,True,3.2259292000048845,5.43822120000641,1.0,hover_text_char_count,Hover length,33.0,3.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,transformers,,edit tokenizer then hover (edit+hover),textDocument/hover,textDocument/hover,False,2618.9748677999887,2639.8942043999796,0.0,hover_text_char_count,Hover length,0.0,-30.0,False,10
-benchmark,pyright,pyright,Pyright,web,,request args completion,textDocument/completion,textDocument/completion,True,4.747344800000519,8.640930000012759,1.0,completion_item_count,Completions found,14.0,0.0,True,0
-benchmark,pyright,ty,Ty,web,,request args completion,textDocument/completion,textDocument/completion,True,6.293402800008607,9.209919400029776,1.0,completion_item_count,Completions found,467.0,453.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,web,,request args completion,textDocument/completion,textDocument/completion,True,66.82793919999312,203.05376919998247,1.0,completion_item_count,Completions found,487.8,473.8,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,web,,request args completion,textDocument/completion,textDocument/completion,True,79.82682239999122,132.23239999992984,1.0,completion_item_count,Completions found,1.0,-13.0,True,0
-benchmark,pyright,pyright,Pyright,web,,client session hover,textDocument/hover,textDocument/hover,True,0.5211687999917558,0.5956305999916367,1.0,hover_text_char_count,Hover length,26.0,0.0,True,0
-benchmark,pyright,ty,Ty,web,,client session hover,textDocument/hover,textDocument/hover,True,0.2340838000122858,0.26220820001299217,1.0,hover_text_char_count,Hover length,7.0,-19.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,web,,client session hover,textDocument/hover,textDocument/hover,True,5.249217599998701,18.34808359999442,1.0,hover_text_char_count,Hover length,167.0,141.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,web,,client session hover,textDocument/hover,textDocument/hover,True,123.3404889999747,196.06130499998926,1.0,hover_text_char_count,Hover length,359.0,333.0,True,0
-benchmark,pyright,pyright,Pyright,web,,client references,textDocument/references,textDocument/references,True,0.8070814000006976,1.024068399999578,1.0,location_count,References found,2.0,0.0,True,0
-benchmark,pyright,ty,Ty,web,,client references,textDocument/references,textDocument/references,True,0.6113640000080522,0.7173046000275463,1.0,location_count,References found,2.0,0.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,web,,client references,textDocument/references,textDocument/references,True,0.3300878000004559,0.3457405999938601,1.0,location_count,References found,2.0,0.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,web,,client references,textDocument/references,textDocument/references,True,6.927176399995005,16.3231768000287,1.0,location_count,References found,2.0,0.0,True,0
-benchmark,pyright,pyright,Pyright,web,,edit response then complete (edit+completion),textDocument/completion,textDocument/completion,True,4.98143599999139,6.294451800010847,1.0,completion_item_count,Completions found,205.0,0.0,True,0
-benchmark,pyright,ty,Ty,web,,edit response then complete (edit+completion),textDocument/completion,textDocument/completion,True,4.621111199992356,5.1186060000077305,1.0,completion_item_count,Completions found,225.0,20.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,web,,edit response then complete (edit+completion),textDocument/completion,textDocument/completion,True,3.819480399999975,4.880160999994132,1.0,completion_item_count,Completions found,32.0,-173.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,web,,edit response then complete (edit+completion),textDocument/completion,textDocument/completion,True,87.41079579999678,88.74537940000664,1.0,completion_item_count,Completions found,57.0,-148.0,True,0
-benchmark,pyright,pyright,Pyright,web,,edit response then hover (edit+hover),textDocument/hover,textDocument/hover,True,34.36470980000195,39.3212150000295,1.0,hover_text_char_count,Hover length,420.0,0.0,True,0
-benchmark,pyright,ty,Ty,web,,edit response then hover (edit+hover),textDocument/hover,textDocument/hover,True,2.793833999976414,2.7991633999818077,1.0,hover_text_char_count,Hover length,1555.0,1135.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,web,,edit response then hover (edit+hover),textDocument/hover,textDocument/hover,True,1.5094923999981802,1.5423042000065834,1.0,hover_text_char_count,Hover length,9977.0,9557.0,True,0
-benchmark,pyright,pylsp-mypy,pylsp-mypy,web,,edit response then hover (edit+hover),textDocument/hover,textDocument/hover,True,230.57284640003672,231.3885186000789,1.0,hover_text_char_count,Hover length,880.0,460.0,True,0
-benchmark,pyright,pyrefly,Pyrefly,tsp_core,,builtins semantic tokens,typeServer/semanticTokens,semantic token impl using typeServer/getComputedType,True,1.846149199991487,4.393665600002804,1.0,semantic_token_count,Semantic tokens found,30.0,,True,0
-benchmark,pyright,pyrefly,Pyrefly,tsp_core,,builtin int computed type,typeServer/getComputedType,typeServer/getComputedType,True,0.2037865999909627,0.22391259998357782,1.0,top_level_count,Results found,7.0,,True,0
-benchmark,pyright,pyrefly,Pyrefly,tsp_core,,list declared type,typeServer/getDeclaredType,typeServer/getDeclaredType,True,0.23484099998540842,0.2438137999774881,1.0,top_level_count,Results found,7.0,,True,0
-benchmark,pyright,pyrefly,Pyrefly,tsp_core,,generic specialization computed type,typeServer/getComputedType,typeServer/getComputedType,True,0.24069220000910718,0.2574635999849306,1.0,top_level_count,Results found,7.0,,True,0
-benchmark,pyright,pyrefly,Pyrefly,tsp_core,,flow narrowed branch type,typeServer/getComputedType,typeServer/getComputedType,False,0.23853199999166463,0.2786291999882451,,,,,,False,10
-benchmark,pyright,pyrefly,Pyrefly,tsp_core,,stdlib path computed type,typeServer/getComputedType,typeServer/getComputedType,True,0.24270579999665642,0.24936300000035772,1.0,top_level_count,Results found,7.0,,True,0
-benchmark,pyright,pyrefly,Pyrefly,tsp_core,,function argument expected type,typeServer/getExpectedType,typeServer/getExpectedType,True,0.23045880000154284,0.24667099999078346,1.0,top_level_count,Results found,7.0,,True,0
-benchmark,pyright,pyrefly,Pyrefly,tsp_core,,edited narrowing recomputes type (edit+getComputedType),typeServer/getComputedType,typeServer/getComputedType,False,0.21760960000847263,0.23581980000244585,,,,,,False,10
-benchmark,pyright,pyrefly,Pyrefly,tsp_semantic,,django semantic tokens,typeServer/semanticTokens,semantic token impl using typeServer/getComputedType,True,29.6971236000104,59.22887800001035,1.0,semantic_token_count,Semantic tokens found,126.0,,True,0
-benchmark,pyright,pyrefly,Pyrefly,tsp_semantic,,transformers semantic tokens,typeServer/semanticTokens,semantic token impl using typeServer/getComputedType,True,67.52507119998654,95.57229099997357,1.0,semantic_token_count,Semantic tokens found,74.0,,True,0
-benchmark,pyright,pyrefly,Pyrefly,tsp_semantic,,stdlib semantic tokens,typeServer/semanticTokens,semantic token impl using typeServer/getComputedType,True,6.902692400001342,6.968165400030557,1.0,semantic_token_count,Semantic tokens found,75.0,,True,0
diff --git a/latest-results/summary-20260925T060552Z.csv b/latest-results/summary-20260925T060552Z.csv
new file mode 100644
index 0000000..561c774
--- /dev/null
+++ b/latest-results/summary-20260925T060552Z.csv
@@ -0,0 +1,132 @@
+report_type,baseline_server_id,server_id,server_name,suite_name,scenario_name,point_label,method,method_display,success,mean_ms,p95_ms,non_empty_rate,result_metric_name,result_metric_label,result_metric_value,result_metric_delta,validation_passed,validation_failure_count
+benchmark,pyright,pyright,Pyright,data_science,,dataframe completion,textDocument/completion,textDocument/completion,True,6.087339199984854,10.0871641999845,1.0,completion_item_count,Completions found,201.0,0.0,True,0
+benchmark,pyright,ty,Ty,data_science,,dataframe completion,textDocument/completion,textDocument/completion,True,1.7369766000115305,1.9029156000215153,1.0,completion_item_count,Completions found,223.0,22.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,data_science,,dataframe completion,textDocument/completion,textDocument/completion,True,90.29349919999277,352.80100399998554,1.0,completion_item_count,Completions found,250.0,49.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,data_science,,dataframe completion,textDocument/completion,textDocument/completion,True,214.64915619999942,497.8879466000023,1.0,completion_item_count,Completions found,188.0,-13.0,True,0
+benchmark,pyright,pyright,Pyright,data_science,,dataframe describe hover,textDocument/hover,textDocument/hover,True,1.1523242000066602,1.5661096000087582,1.0,hover_text_char_count,Hover length,4019.0,0.0,True,0
+benchmark,pyright,ty,Ty,data_science,,dataframe describe hover,textDocument/hover,textDocument/hover,True,0.31146540000008827,0.3230274000088684,1.0,hover_text_char_count,Hover length,4232.0,213.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,data_science,,dataframe describe hover,textDocument/hover,textDocument/hover,True,2.41931719999684,2.70471199999065,1.0,hover_text_char_count,Hover length,3182.0,-837.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,data_science,,dataframe describe hover,textDocument/hover,textDocument/hover,True,182.59642980001445,185.16094260002092,1.0,hover_text_char_count,Hover length,4134.0,115.0,True,0
+benchmark,pyright,pyright,Pyright,data_science,,summarize definition,textDocument/definition,textDocument/definition,True,0.40668780000601146,0.45710840001333963,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,ty,Ty,data_science,,summarize definition,textDocument/definition,textDocument/definition,True,0.20776119999936782,0.21584080000707218,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,data_science,,summarize definition,textDocument/definition,textDocument/definition,True,0.22850180000091314,0.24001159999329502,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,data_science,,summarize definition,textDocument/definition,textDocument/definition,True,1.4103033999958825,1.5312743999743361,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,pyright,Pyright,data_science,,edit array then complete (edit+completion),textDocument/completion,textDocument/completion,True,368.32103779999557,484.1238860000146,1.0,completion_item_count,Completions found,168.0,0.0,True,0
+benchmark,pyright,ty,Ty,data_science,,edit array then complete (edit+completion),textDocument/completion,textDocument/completion,True,15.326865600007977,16.89097599999627,1.0,completion_item_count,Completions found,168.0,0.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,data_science,,edit array then complete (edit+completion),textDocument/completion,textDocument/completion,True,30.459041800003206,44.937324799997214,1.0,completion_item_count,Completions found,149.0,-19.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,data_science,,edit array then complete (edit+completion),textDocument/completion,textDocument/completion,False,5.023281799981305,5.520951599964974,0.0,completion_item_count,Completions found,0.0,-168.0,False,10
+benchmark,pyright,pyright,Pyright,data_science,,edit array then hover (edit+hover),textDocument/hover,textDocument/hover,True,31.89374279999697,32.79998619998992,1.0,hover_text_char_count,Hover length,278.0,0.0,True,0
+benchmark,pyright,ty,Ty,data_science,,edit array then hover (edit+hover),textDocument/hover,textDocument/hover,True,6.085609800004477,6.421146399998179,1.0,hover_text_char_count,Hover length,267.0,-11.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,data_science,,edit array then hover (edit+hover),textDocument/hover,textDocument/hover,True,1.683286999991651,3.5249199999952907,1.0,hover_text_char_count,Hover length,2546.0,2268.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,data_science,,edit array then hover (edit+hover),textDocument/hover,textDocument/hover,True,168.64165959997308,171.23699359995044,1.0,hover_text_char_count,Hover length,5662.0,5384.0,True,0
+benchmark,pyright,pyright,Pyright,django,,queryset completion,textDocument/completion,textDocument/completion,True,5.235042999993311,8.378036599987126,1.0,completion_item_count,Completions found,10.0,0.0,True,0
+benchmark,pyright,ty,Ty,django,,queryset completion,textDocument/completion,textDocument/completion,True,5.039419000001999,7.543556800015948,1.0,completion_item_count,Completions found,261.0,251.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,django,,queryset completion,textDocument/completion,textDocument/completion,True,15.723703599996952,61.79050780000351,1.0,completion_item_count,Completions found,15.0,5.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,django,,queryset completion,textDocument/completion,textDocument/completion,True,218.9219976000004,665.8027663999973,1.0,completion_item_count,Completions found,2.0,-8.0,True,0
+benchmark,pyright,pyright,Pyright,django,,queryset filter hover,textDocument/hover,textDocument/hover,True,0.575970599993525,0.6382388000020001,1.0,hover_text_char_count,Hover length,57.0,0.0,True,0
+benchmark,pyright,ty,Ty,django,,queryset filter hover,textDocument/hover,textDocument/hover,True,0.23859700000343764,0.25127660000521246,1.0,hover_text_char_count,Hover length,46.0,-11.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,django,,queryset filter hover,textDocument/hover,textDocument/hover,True,0.3268704000049638,0.44954460001349617,1.0,hover_text_char_count,Hover length,298.0,241.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,django,,queryset filter hover,textDocument/hover,textDocument/hover,True,163.43185879999282,172.51399479996508,1.0,hover_text_char_count,Hover length,57.0,0.0,True,0
+benchmark,pyright,pyright,Pyright,django,,model definition,textDocument/definition,textDocument/definition,True,1.0859310000057576,3.1296200000156196,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,ty,Ty,django,,model definition,textDocument/definition,textDocument/definition,True,0.19924520000245138,0.2050006000047233,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,django,,model definition,textDocument/definition,textDocument/definition,True,0.22415979999550473,0.24054399999613452,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,django,,model definition,textDocument/definition,textDocument/definition,True,1.0957540000049448,1.1261250000075052,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,pyright,Pyright,django,,edit queryset then complete (edit+completion),textDocument/completion,textDocument/completion,True,28.13514920000557,29.659692200016252,1.0,completion_item_count,Completions found,104.0,0.0,True,0
+benchmark,pyright,ty,Ty,django,,edit queryset then complete (edit+completion),textDocument/completion,textDocument/completion,True,4.850582200003828,5.599456799984637,1.0,completion_item_count,Completions found,104.0,0.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,django,,edit queryset then complete (edit+completion),textDocument/completion,textDocument/completion,True,2.083139800004119,2.20273560000237,1.0,completion_item_count,Completions found,83.0,-21.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,django,,edit queryset then complete (edit+completion),textDocument/completion,textDocument/completion,True,264.24598240000705,307.6826507999954,1.0,completion_item_count,Completions found,143.0,39.0,True,0
+benchmark,pyright,pyright,Pyright,django,,edit queryset then hover (edit+hover),textDocument/hover,textDocument/hover,True,41.19942460000061,49.16465659999858,1.0,hover_text_char_count,Hover length,83.0,0.0,True,0
+benchmark,pyright,ty,Ty,django,,edit queryset then hover (edit+hover),textDocument/hover,textDocument/hover,True,3.1120671999929073,3.1485414000030687,1.0,hover_text_char_count,Hover length,100.0,17.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,django,,edit queryset then hover (edit+hover),textDocument/hover,textDocument/hover,True,4.11582279999152,11.073892799993246,1.0,hover_text_char_count,Hover length,858.0,775.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,django,,edit queryset then hover (edit+hover),textDocument/hover,textDocument/hover,True,252.50452540000197,255.67885339999066,1.0,hover_text_char_count,Hover length,71.0,-12.0,True,0
+benchmark,pyright,pyright,Pyright,pandas,,report dataframe completion,textDocument/completion,textDocument/completion,True,80.5606434000083,265.96442980000455,1.0,completion_item_count,Completions found,271.2,0.0,True,0
+benchmark,pyright,ty,Ty,pandas,,report dataframe completion,textDocument/completion,textDocument/completion,True,18.53302319999557,22.15735379999728,1.0,completion_item_count,Completions found,1000.0,728.8,True,0
+benchmark,pyright,pyrefly,Pyrefly,pandas,,report dataframe completion,textDocument/completion,textDocument/completion,True,92.23552220000215,368.0017177999957,1.0,completion_item_count,Completions found,16.0,-255.2,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,pandas,,report dataframe completion,textDocument/completion,textDocument/completion,True,88.82186879998244,200.13633779999506,1.0,completion_item_count,Completions found,6.0,-265.2,True,0
+benchmark,pyright,pyright,Pyright,pandas,,dataframe groupby hover,textDocument/hover,textDocument/hover,True,0.7681304000016098,0.8569585999964602,1.0,hover_text_char_count,Hover length,350.0,0.0,True,0
+benchmark,pyright,ty,Ty,pandas,,dataframe groupby hover,textDocument/hover,textDocument/hover,True,0.2915619999896535,0.31475939999836555,1.0,hover_text_char_count,Hover length,329.0,-21.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,pandas,,dataframe groupby hover,textDocument/hover,textDocument/hover,True,2.3318935999895984,2.50328419999164,1.0,hover_text_char_count,Hover length,2759.0,2409.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,pandas,,dataframe groupby hover,textDocument/hover,textDocument/hover,True,195.33075240000244,201.67546859998993,1.0,hover_text_char_count,Hover length,301.0,-49.0,True,0
+benchmark,pyright,pyright,Pyright,pandas,,build report definition,textDocument/definition,textDocument/definition,True,0.3611145999968812,0.44570099998963997,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,ty,Ty,pandas,,build report definition,textDocument/definition,textDocument/definition,True,0.22577500000693362,0.23032140001078005,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,pandas,,build report definition,textDocument/definition,textDocument/definition,True,0.2085866000072656,0.2241798000113704,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,pandas,,build report definition,textDocument/definition,textDocument/definition,True,1.246750600012092,1.5066434000118534,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,pyright,Pyright,pandas,,edit dataframe then complete (edit+completion),textDocument/completion,textDocument/completion,True,851.4248746000078,1397.3136877999991,1.0,completion_item_count,Completions found,440.0,0.0,True,0
+benchmark,pyright,ty,Ty,pandas,,edit dataframe then complete (edit+completion),textDocument/completion,textDocument/completion,True,18.410378200007926,19.454630600000655,1.0,completion_item_count,Completions found,448.0,8.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,pandas,,edit dataframe then complete (edit+completion),textDocument/completion,textDocument/completion,True,43.625462199997855,66.52742039999566,1.0,completion_item_count,Completions found,256.0,-184.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,pandas,,edit dataframe then complete (edit+completion),textDocument/completion,textDocument/completion,True,240.28013719998853,247.06456820002813,1.0,completion_item_count,Completions found,441.0,1.0,True,0
+benchmark,pyright,pyright,Pyright,pandas,,edit dataframe then hover (edit+hover),textDocument/hover,textDocument/hover,True,11.222108199996228,13.384161400000494,1.0,hover_text_char_count,Hover length,4292.0,0.0,True,0
+benchmark,pyright,ty,Ty,pandas,,edit dataframe then hover (edit+hover),textDocument/hover,textDocument/hover,True,4.676234399994428,4.85322139999198,1.0,hover_text_char_count,Hover length,4441.0,149.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,pandas,,edit dataframe then hover (edit+hover),textDocument/hover,textDocument/hover,True,7.2169390000055955,17.343487400000868,1.0,hover_text_char_count,Hover length,943.0,-3349.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,pandas,,edit dataframe then hover (edit+hover),textDocument/hover,textDocument/hover,True,187.2201825999923,190.8113266000214,1.0,hover_text_char_count,Hover length,232.0,-4060.0,True,0
+benchmark,pyright,pyright,Pyright,sqlalchemy,,query completion,textDocument/completion,textDocument/completion,True,15.152295800004367,27.81121620000135,1.0,completion_item_count,Completions found,1.0,0.0,True,0
+benchmark,pyright,ty,Ty,sqlalchemy,,query completion,textDocument/completion,textDocument/completion,True,3.3191759999965598,7.433115599980054,1.0,completion_item_count,Completions found,1.0,0.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,sqlalchemy,,query completion,textDocument/completion,textDocument/completion,True,90.65606100000423,361.7012100000124,1.0,completion_item_count,Completions found,15.0,14.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,sqlalchemy,,query completion,textDocument/completion,textDocument/completion,True,218.76624339998898,432.5306131999696,1.0,completion_item_count,Completions found,1.0,0.0,True,0
+benchmark,pyright,pyright,Pyright,sqlalchemy,,sessionmaker hover,textDocument/hover,textDocument/hover,True,3.3409575999996832,7.802513000001453,1.0,hover_text_char_count,Hover length,10579.0,0.0,True,0
+benchmark,pyright,ty,Ty,sqlalchemy,,sessionmaker hover,textDocument/hover,textDocument/hover,True,0.41419540000333654,0.42995060000521335,1.0,hover_text_char_count,Hover length,10621.0,42.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,sqlalchemy,,sessionmaker hover,textDocument/hover,textDocument/hover,True,0.9844574000055673,1.0720750000018597,1.0,hover_text_char_count,Hover length,15239.0,4660.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,sqlalchemy,,sessionmaker hover,textDocument/hover,textDocument/hover,True,333.12508380000736,339.32282359999135,1.0,hover_text_char_count,Hover length,10498.0,-81.0,True,0
+benchmark,pyright,pyright,Pyright,sqlalchemy,,mapped class definition,textDocument/definition,textDocument/definition,True,0.744816400003856,1.6209024000033874,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,ty,Ty,sqlalchemy,,mapped class definition,textDocument/definition,textDocument/definition,True,0.22876059999248355,0.24035380000100304,1.0,location_count,Definitions found,2.0,1.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,sqlalchemy,,mapped class definition,textDocument/definition,textDocument/definition,True,0.2562378000106946,0.27960320000488537,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,sqlalchemy,,mapped class definition,textDocument/definition,textDocument/definition,True,1.300259200002074,1.666975800014825,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,pyright,Pyright,sqlalchemy,,edit query then complete (edit+completion),textDocument/completion,textDocument/completion,True,140.80336659999375,175.88043559999278,1.0,completion_item_count,Completions found,38.0,0.0,True,0
+benchmark,pyright,ty,Ty,sqlalchemy,,edit query then complete (edit+completion),textDocument/completion,textDocument/completion,True,5.50745600000937,6.212083800011214,1.0,completion_item_count,Completions found,23.0,-15.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,sqlalchemy,,edit query then complete (edit+completion),textDocument/completion,textDocument/completion,True,1.817587799996545,3.058799800004408,1.0,completion_item_count,Completions found,17.0,-21.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,sqlalchemy,,edit query then complete (edit+completion),textDocument/completion,textDocument/completion,False,40.08522260000973,41.630356799998935,0.0,completion_item_count,Completions found,0.0,-38.0,False,10
+benchmark,pyright,pyright,Pyright,sqlalchemy,,edit session then hover (edit+hover),textDocument/hover,textDocument/hover,True,100.31841560000885,109.98007520000783,1.0,hover_text_char_count,Hover length,893.0,0.0,True,0
+benchmark,pyright,ty,Ty,sqlalchemy,,edit session then hover (edit+hover),textDocument/hover,textDocument/hover,True,5.184219600005235,5.281081000003951,1.0,hover_text_char_count,Hover length,951.0,58.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,sqlalchemy,,edit session then hover (edit+hover),textDocument/hover,textDocument/hover,True,2.10552999999436,5.477610999980698,1.0,hover_text_char_count,Hover length,2242.0,1349.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,sqlalchemy,,edit session then hover (edit+hover),textDocument/hover,textDocument/hover,False,37.931283199998234,38.08462200003078,0.0,hover_text_char_count,Hover length,0.0,-893.0,False,10
+benchmark,pyright,pyright,Pyright,transformers,,classifier pipeline completion,textDocument/completion,textDocument/completion,True,52.46872059999532,77.79318859999194,1.0,completion_item_count,Completions found,123.0,0.0,True,0
+benchmark,pyright,ty,Ty,transformers,,classifier pipeline completion,textDocument/completion,textDocument/completion,True,12.162283399999296,13.054686599991783,1.0,completion_item_count,Completions found,777.0,654.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,transformers,,classifier pipeline completion,textDocument/completion,textDocument/completion,True,850.4251233999923,3400.8553091999884,1.0,completion_item_count,Completions found,15.0,-108.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,transformers,,classifier pipeline completion,textDocument/completion,textDocument/completion,True,146.75271479998173,150.0356408000357,1.0,completion_item_count,Completions found,2.0,-121.0,True,0
+benchmark,pyright,pyright,Pyright,transformers,,pipeline hover,textDocument/hover,textDocument/hover,True,0.4543649999959598,0.5133149999835496,1.0,hover_text_char_count,Hover length,34.0,0.0,True,0
+benchmark,pyright,ty,Ty,transformers,,pipeline hover,textDocument/hover,textDocument/hover,True,0.2521437999973841,0.27521720001004724,1.0,hover_text_char_count,Hover length,7.0,-27.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,transformers,,pipeline hover,textDocument/hover,textDocument/hover,True,0.22422599999458726,0.22874799999499373,1.0,hover_text_char_count,Hover length,48.0,14.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,transformers,,pipeline hover,textDocument/hover,textDocument/hover,False,2814.452318799988,2881.0188599999833,0.0,hover_text_char_count,Hover length,0.0,-34.0,False,10
+benchmark,pyright,pyright,Pyright,transformers,,auto tokenizer definition,textDocument/definition,textDocument/definition,True,0.4792817999998533,0.5713739999919198,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,ty,Ty,transformers,,auto tokenizer definition,textDocument/definition,textDocument/definition,True,0.2919847999976355,0.3114435999862053,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,transformers,,auto tokenizer definition,textDocument/definition,textDocument/definition,True,0.24042799999506315,0.27198879998309167,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,transformers,,auto tokenizer definition,textDocument/definition,textDocument/definition,True,2282.517052799983,2350.4590835999807,1.0,location_count,Definitions found,1.0,0.0,True,0
+benchmark,pyright,pyright,Pyright,transformers,,edit prediction then complete (edit+completion),textDocument/completion,textDocument/completion,True,7.318958999996994,9.53202379999425,0.0,completion_item_count,Completions found,0.0,0.0,True,0
+benchmark,pyright,ty,Ty,transformers,,edit prediction then complete (edit+completion),textDocument/completion,textDocument/completion,True,7.0988982000073975,7.79078960000561,1.0,completion_item_count,Completions found,23.0,23.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,transformers,,edit prediction then complete (edit+completion),textDocument/completion,textDocument/completion,True,2.795053999994934,9.735246799982631,0.0,completion_item_count,Completions found,0.0,0.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,transformers,,edit prediction then complete (edit+completion),textDocument/completion,textDocument/completion,True,2.7967944000238276,3.0396424000059596,0.0,completion_item_count,Completions found,0.0,0.0,True,0
+benchmark,pyright,pyright,Pyright,transformers,,edit tokenizer then hover (edit+hover),textDocument/hover,textDocument/hover,True,508.6312612000029,537.4621338000111,1.0,hover_text_char_count,Hover length,30.0,0.0,True,0
+benchmark,pyright,ty,Ty,transformers,,edit tokenizer then hover (edit+hover),textDocument/hover,textDocument/hover,True,7.923710799997252,8.780609600012212,1.0,hover_text_char_count,Hover length,7.0,-23.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,transformers,,edit tokenizer then hover (edit+hover),textDocument/hover,textDocument/hover,True,21.404606999999487,38.84995719999438,1.0,hover_text_char_count,Hover length,33.0,3.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,transformers,,edit tokenizer then hover (edit+hover),textDocument/hover,textDocument/hover,False,2718.745893200014,2742.1454804000177,0.0,hover_text_char_count,Hover length,0.0,-30.0,False,10
+benchmark,pyright,pyright,Pyright,web,,request args completion,textDocument/completion,textDocument/completion,True,6.075733000005812,10.830926000011232,1.0,completion_item_count,Completions found,14.0,0.0,True,0
+benchmark,pyright,ty,Ty,web,,request args completion,textDocument/completion,textDocument/completion,True,6.0492278000026545,8.415858800003662,1.0,completion_item_count,Completions found,467.0,453.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,web,,request args completion,textDocument/completion,textDocument/completion,True,80.65946299999496,243.4212674000093,1.0,completion_item_count,Completions found,487.8,473.8,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,web,,request args completion,textDocument/completion,textDocument/completion,True,95.3827752000052,175.798087999965,1.0,completion_item_count,Completions found,1.0,-13.0,True,0
+benchmark,pyright,pyright,Pyright,web,,client session hover,textDocument/hover,textDocument/hover,True,0.5368664000059198,0.6063126000128705,1.0,hover_text_char_count,Hover length,26.0,0.0,True,0
+benchmark,pyright,ty,Ty,web,,client session hover,textDocument/hover,textDocument/hover,True,0.2194712000061827,0.24413340000819517,1.0,hover_text_char_count,Hover length,7.0,-19.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,web,,client session hover,textDocument/hover,textDocument/hover,True,5.546965199999931,19.527771399987156,1.0,hover_text_char_count,Hover length,167.0,141.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,web,,client session hover,textDocument/hover,textDocument/hover,True,154.18587259999867,301.43438540000034,1.0,hover_text_char_count,Hover length,359.0,333.0,True,0
+benchmark,pyright,pyright,Pyright,web,,client references,textDocument/references,textDocument/references,True,0.7736869999916962,0.8747611999865512,1.0,location_count,References found,2.0,0.0,True,0
+benchmark,pyright,ty,Ty,web,,client references,textDocument/references,textDocument/references,True,0.6535441999972136,0.772304799994572,1.0,location_count,References found,2.0,0.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,web,,client references,textDocument/references,textDocument/references,True,0.3344608000020344,0.35002960000838357,1.0,location_count,References found,2.0,0.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,web,,client references,textDocument/references,textDocument/references,True,3.075753000007353,3.525986199986164,1.0,location_count,References found,2.0,0.0,True,0
+benchmark,pyright,pyright,Pyright,web,,edit response then complete (edit+completion),textDocument/completion,textDocument/completion,True,4.28865099999598,6.08974920000378,1.0,completion_item_count,Completions found,205.0,0.0,True,0
+benchmark,pyright,ty,Ty,web,,edit response then complete (edit+completion),textDocument/completion,textDocument/completion,True,5.066450799995437,5.511688799992953,1.0,completion_item_count,Completions found,225.0,20.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,web,,edit response then complete (edit+completion),textDocument/completion,textDocument/completion,True,0.5549193999968338,0.5639344000030633,1.0,completion_item_count,Completions found,32.0,-173.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,web,,edit response then complete (edit+completion),textDocument/completion,textDocument/completion,True,91.68851979999317,93.02164299998594,1.0,completion_item_count,Completions found,57.0,-148.0,True,0
+benchmark,pyright,pyright,Pyright,web,,edit response then hover (edit+hover),textDocument/hover,textDocument/hover,True,36.50495159999991,39.61198019999301,1.0,hover_text_char_count,Hover length,420.0,0.0,True,0
+benchmark,pyright,ty,Ty,web,,edit response then hover (edit+hover),textDocument/hover,textDocument/hover,True,2.9895291999935125,3.0615705999935017,1.0,hover_text_char_count,Hover length,1555.0,1135.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,web,,edit response then hover (edit+hover),textDocument/hover,textDocument/hover,True,1.4985104000004412,1.556086399995138,1.0,hover_text_char_count,Hover length,9977.0,9557.0,True,0
+benchmark,pyright,pylsp-mypy,pylsp-mypy,web,,edit response then hover (edit+hover),textDocument/hover,textDocument/hover,True,244.36172899999065,255.5952481999725,1.0,hover_text_char_count,Hover length,880.0,460.0,True,0
+benchmark,pyright,pyrefly,Pyrefly,tsp_core,,builtins semantic tokens,typeServer/semanticTokens,semantic token impl using typeServer/getComputedType,True,0.9922859999960565,1.0596265999993193,1.0,semantic_token_count,Semantic tokens found,30.0,,True,0
+benchmark,pyright,pyrefly,Pyrefly,tsp_core,,builtin int computed type,typeServer/getComputedType,typeServer/getComputedType,True,0.19484279999915088,0.20599579999611706,1.0,top_level_count,Results found,7.0,,True,0
+benchmark,pyright,pyrefly,Pyrefly,tsp_core,,list declared type,typeServer/getDeclaredType,typeServer/getDeclaredType,True,0.2524930000106451,0.2812208000079863,1.0,top_level_count,Results found,7.0,,True,0
+benchmark,pyright,pyrefly,Pyrefly,tsp_core,,generic specialization computed type,typeServer/getComputedType,typeServer/getComputedType,True,0.22557919999712794,0.23855940000885312,1.0,top_level_count,Results found,7.0,,True,0
+benchmark,pyright,pyrefly,Pyrefly,tsp_core,,flow narrowed branch type,typeServer/getComputedType,typeServer/getComputedType,False,0.2301736000049459,0.2540972000133479,,,,,,False,10
+benchmark,pyright,pyrefly,Pyrefly,tsp_core,,stdlib path computed type,typeServer/getComputedType,typeServer/getComputedType,True,0.2231467999990855,0.251387799994518,1.0,top_level_count,Results found,7.0,,True,0
+benchmark,pyright,pyrefly,Pyrefly,tsp_core,,function argument expected type,typeServer/getExpectedType,typeServer/getExpectedType,True,0.2523926000094434,0.2623392000145941,1.0,top_level_count,Results found,7.0,,True,0
+benchmark,pyright,pyrefly,Pyrefly,tsp_core,,edited narrowing recomputes type (edit+getComputedType),typeServer/getComputedType,typeServer/getComputedType,False,0.21767719999843393,0.23190040000145018,,,,,,False,10
+benchmark,pyright,pyrefly,Pyrefly,tsp_semantic,,django semantic tokens,typeServer/semanticTokens,semantic token impl using typeServer/getComputedType,True,14.66498880000131,22.879978999992545,1.0,semantic_token_count,Semantic tokens found,126.0,,True,0
+benchmark,pyright,pyrefly,Pyrefly,tsp_semantic,,transformers semantic tokens,typeServer/semanticTokens,semantic token impl using typeServer/getComputedType,True,51.811098199999606,53.033343800001376,1.0,semantic_token_count,Semantic tokens found,74.0,,True,0
+benchmark,pyright,pyrefly,Pyrefly,tsp_semantic,,stdlib semantic tokens,typeServer/semanticTokens,semantic token impl using typeServer/getComputedType,True,5.910225600001695,5.969541999991179,1.0,semantic_token_count,Semantic tokens found,75.0,,True,0
diff --git a/latest-results/summary-20260924T060612Z.json b/latest-results/summary-20260925T060552Z.json
similarity index 89%
rename from latest-results/summary-20260924T060612Z.json
rename to latest-results/summary-20260925T060552Z.json
index 5f541a8..03f6c7d 100644
--- a/latest-results/summary-20260924T060612Z.json
+++ b/latest-results/summary-20260925T060552Z.json
@@ -17,12 +17,12 @@
     "tsp_semantic"
   ],
   "baseline_server": "pyright",
-  "generated_at": "20260924T060612Z",
+  "generated_at": "20260925T060552Z",
   "servers": [
     {
       "id": "pyright",
       "display_name": "Pyright",
-      "output_path": "results/bench-servers/pyright-20260924T060612Z.json",
+      "output_path": "results/bench-servers/pyright-20260925T060552Z.json",
       "success": true,
       "benchmark_count": 6,
       "command": [
@@ -58,21 +58,21 @@
     {
       "id": "ty",
       "display_name": "Ty",
-      "output_path": "results/bench-servers/ty-20260924T060612Z.json",
+      "output_path": "results/bench-servers/ty-20260925T060552Z.json",
       "success": true,
       "benchmark_count": 6,
       "command": [
-        "/home/runner/work/python-lsp-compare/python-lsp-compare/.python-lsp-compare/servers/ty/0.0.83/ty-x86_64-unknown-linux-gnu/ty",
+        "/home/runner/work/python-lsp-compare/python-lsp-compare/.python-lsp-compare/servers/ty/0.0.84/ty-x86_64-unknown-linux-gnu/ty",
         "server"
       ],
-      "source_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/.python-lsp-compare/servers/ty/0.0.83/ty-x86_64-unknown-linux-gnu/ty",
+      "source_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/.python-lsp-compare/servers/ty/0.0.84/ty-x86_64-unknown-linux-gnu/ty",
       "version": {
         "kind": "release",
-        "label": "0.0.83",
+        "label": "0.0.84",
         "repo_root": null,
         "commit": null,
         "short_commit": null,
-        "source_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/.python-lsp-compare/servers/ty/0.0.83/ty-x86_64-unknown-linux-gnu/ty"
+        "source_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/.python-lsp-compare/servers/ty/0.0.84/ty-x86_64-unknown-linux-gnu/ty"
       },
       "requested_benchmarks": [
         "data_science",
@@ -91,7 +91,7 @@
     {
       "id": "pyrefly",
       "display_name": "Pyrefly",
-      "output_path": "results/bench-servers/pyrefly-20260924T060612Z.json",
+      "output_path": "results/bench-servers/pyrefly-20260925T060552Z.json",
       "success": false,
       "benchmark_count": 8,
       "command": [
@@ -131,7 +131,7 @@
     {
       "id": "pylsp-mypy",
       "display_name": "pylsp-mypy",
-      "output_path": "results/bench-servers/pylsp-mypy-20260924T060612Z.json",
+      "output_path": "results/bench-servers/pylsp-mypy-20260925T060552Z.json",
       "success": false,
       "benchmark_count": 6,
       "command": [
diff --git a/latest-results/summary-20260924T060612Z.md b/latest-results/summary-20260925T060552Z.md
similarity index 61%
rename from latest-results/summary-20260924T060612Z.md
rename to latest-results/summary-20260925T060552Z.md
index 8a3c272..193b669 100644
--- a/latest-results/summary-20260924T060612Z.md
+++ b/latest-results/summary-20260925T060552Z.md
@@ -1,8 +1,8 @@
 # Python LSP Benchmark Comparison
 
-Generated from `results/bench-servers/summary-20260924T060612Z.json`
+Generated from `results/bench-servers/summary-20260925T060552Z.json`
 
-- Generated at: 20260924T060612Z
+- Generated at: 20260925T060552Z
 - Config: `github-releases`
 - Servers: pyright, ty, pyrefly, pylsp-mypy
 - Baseline server: Pyright (pyright)
@@ -13,7 +13,7 @@ Generated from `results/bench-servers/summary-20260924T060612Z.json`
 | Server | Version | Source |
 | --- | --- | --- |
 | Pyright | 1.1.414 | /home/runner/work/python-lsp-compare/python-lsp-compare/.python-lsp-compare/servers/pyright/1.1.414/package/dist/pyright-langserver.js |
-| Ty | 0.0.83 | /home/runner/work/python-lsp-compare/python-lsp-compare/.python-lsp-compare/servers/ty/0.0.83/ty-x86_64-unknown-linux-gnu/ty |
+| Ty | 0.0.84 | /home/runner/work/python-lsp-compare/python-lsp-compare/.python-lsp-compare/servers/ty/0.0.84/ty-x86_64-unknown-linux-gnu/ty |
 | Pyrefly | 1.3.1 | /home/runner/work/python-lsp-compare/python-lsp-compare/.python-lsp-compare/servers/pyrefly/venv/bin/pyrefly |
 | pylsp-mypy | 1.15.0 | /home/runner/work/python-lsp-compare/python-lsp-compare/.python-lsp-compare/servers/pylsp-mypy/venv/bin/pylsp |
 
@@ -30,10 +30,10 @@ Generated from `results/bench-servers/summary-20260924T060612Z.json`
 
 | Server | Success | Benchmarks | Wall clock ms | Avg measured ms | Measured requests | Non-empty % | Failed points |
 | --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
-| Ty | yes | 6 | 5047.01 | 4.10 | 150 | 100% | 0 |
-| Pyrefly | no | 8 | 16595.98 | 37.17 | 205 | 97% | 2 |
-| Pyright | yes | 6 | 38377.15 | 73.66 | 150 | 97% | 0 |
-| pylsp-mypy | no | 6 | 249936.78 | 365.30 | 150 | 80% | 5 |
+| Ty | yes | 6 | 5257.23 | 4.55 | 150 | 100% | 0 |
+| Pyrefly | no | 8 | 16102.72 | 34.82 | 205 | 97% | 2 |
+| Pyright | yes | 6 | 40052.47 | 76.88 | 150 | 97% | 0 |
+| pylsp-mypy | no | 6 | 222643.69 | 379.02 | 150 | 80% | 5 |
 
 *Wall clock ms includes server startup, warmup iterations, and shutdown — but excludes one-time environment creation and dependency installation.*
 
@@ -41,10 +41,10 @@ Generated from `results/bench-servers/summary-20260924T060612Z.json`
 
 | Server | Success | Wall clock ms | Avg measured ms | Points | Measured requests | Non-empty % | Failed points |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
-| Ty | yes | 507.40 | 3.91 | 5 | 25 | 100% | 0 |
-| Pyrefly | yes | 1211.71 | 25.41 | 5 | 25 | 100% | 0 |
-| Pyright | yes | 4543.71 | 75.39 | 5 | 25 | 100% | 0 |
-| pylsp-mypy | no | 7879.65 | 115.37 | 5 | 25 | 80% | 1 |
+| Ty | yes | 547.86 | 4.73 | 5 | 25 | 100% | 0 |
+| Pyrefly | yes | 1140.68 | 25.02 | 5 | 25 | 100% | 0 |
+| Pyright | yes | 4713.95 | 81.57 | 5 | 25 | 100% | 0 |
+| pylsp-mypy | no | 8034.45 | 114.46 | 5 | 25 | 80% | 1 |
 
 ### dataframe completion
 
@@ -52,10 +52,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 1.60 | 1.75 | 100% | 223.00 | +22.00 | pass |
-| Pyright | yes | 6.25 | 11.74 | 100% | 201.00 | 0.00 | pass |
-| Pyrefly | yes | 88.90 | 350.32 | 100% | 250.00 | +49.00 | pass |
-| pylsp-mypy | yes | 225.66 | 419.59 | 100% | 188.00 | -13.00 | pass |
+| Ty | yes | 1.74 | 1.90 | 100% | 223.00 | +22.00 | pass |
+| Pyright | yes | 6.09 | 10.09 | 100% | 201.00 | 0.00 | pass |
+| Pyrefly | yes | 90.29 | 352.80 | 100% | 250.00 | +49.00 | pass |
+| pylsp-mypy | yes | 214.65 | 497.89 | 100% | 188.00 | -13.00 | pass |
 
 ### dataframe describe hover
 
@@ -63,10 +63,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 0.32 | 0.33 | 100% | 4232.00 | +213.00 | pass |
-| Pyright | yes | 1.07 | 1.44 | 100% | 4019.00 | 0.00 | pass |
-| Pyrefly | yes | 2.45 | 2.70 | 100% | 3182.00 | -837.00 | pass |
-| pylsp-mypy | yes | 179.85 | 181.69 | 100% | 4134.00 | +115.00 | pass |
+| Ty | yes | 0.31 | 0.32 | 100% | 4232.00 | +213.00 | pass |
+| Pyright | yes | 1.15 | 1.57 | 100% | 4019.00 | 0.00 | pass |
+| Pyrefly | yes | 2.42 | 2.70 | 100% | 3182.00 | -837.00 | pass |
+| pylsp-mypy | yes | 182.60 | 185.16 | 100% | 4134.00 | +115.00 | pass |
 
 ### summarize definition
 
@@ -74,10 +74,10 @@ Method: `textDocument/definition`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Definitions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyrefly | yes | 0.21 | 0.22 | 100% | 1.00 | 0.00 | pass |
-| Ty | yes | 0.22 | 0.22 | 100% | 1.00 | 0.00 | pass |
-| Pyright | yes | 0.36 | 0.41 | 100% | 1.00 | 0.00 | pass |
-| pylsp-mypy | yes | 1.05 | 1.11 | 100% | 1.00 | 0.00 | pass |
+| Ty | yes | 0.21 | 0.22 | 100% | 1.00 | 0.00 | pass |
+| Pyrefly | yes | 0.23 | 0.24 | 100% | 1.00 | 0.00 | pass |
+| Pyright | yes | 0.41 | 0.46 | 100% | 1.00 | 0.00 | pass |
+| pylsp-mypy | yes | 1.41 | 1.53 | 100% | 1.00 | 0.00 | pass |
 
 ### edit array then complete (edit+completion)
 
@@ -85,10 +85,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| pylsp-mypy | no | 4.36 | 4.62 | 0% | 0.00 | -168.00 | fail (10) |
-| Ty | yes | 12.06 | 14.40 | 100% | 168.00 | 0.00 | pass |
-| Pyrefly | yes | 32.99 | 50.34 | 100% | 149.00 | -19.00 | pass |
-| Pyright | yes | 336.71 | 488.72 | 100% | 168.00 | 0.00 | pass |
+| pylsp-mypy | no | 5.02 | 5.52 | 0% | 0.00 | -168.00 | fail (10) |
+| Ty | yes | 15.33 | 16.89 | 100% | 168.00 | 0.00 | pass |
+| Pyrefly | yes | 30.46 | 44.94 | 100% | 149.00 | -19.00 | pass |
+| Pyright | yes | 368.32 | 484.12 | 100% | 168.00 | 0.00 | pass |
 
 ### edit array then hover (edit+hover)
 
@@ -96,10 +96,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyrefly | yes | 2.50 | 2.53 | 100% | 2546.00 | +2268.00 | pass |
-| Ty | yes | 5.38 | 5.63 | 100% | 267.00 | -11.00 | pass |
-| Pyright | yes | 32.56 | 36.96 | 100% | 278.00 | 0.00 | pass |
-| pylsp-mypy | yes | 165.95 | 169.90 | 100% | 5662.00 | +5384.00 | pass |
+| Pyrefly | yes | 1.68 | 3.52 | 100% | 2546.00 | +2268.00 | pass |
+| Ty | yes | 6.09 | 6.42 | 100% | 267.00 | -11.00 | pass |
+| Pyright | yes | 31.89 | 32.80 | 100% | 278.00 | 0.00 | pass |
+| pylsp-mypy | yes | 168.64 | 171.24 | 100% | 5662.00 | +5384.00 | pass |
 
 ### Result Differences
 
@@ -112,10 +112,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Wall clock ms | Avg measured ms | Points | Measured requests | Non-empty % | Failed points |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
-| Ty | yes | 258.18 | 2.55 | 5 | 25 | 100% | 0 |
-| Pyrefly | yes | 294.37 | 4.61 | 5 | 25 | 100% | 0 |
-| Pyright | yes | 1465.40 | 14.18 | 5 | 25 | 100% | 0 |
-| pylsp-mypy | yes | 7691.33 | 172.16 | 5 | 25 | 100% | 0 |
+| Ty | yes | 264.33 | 2.69 | 5 | 25 | 100% | 0 |
+| Pyrefly | yes | 294.48 | 4.49 | 5 | 25 | 100% | 0 |
+| Pyright | yes | 1522.55 | 15.25 | 5 | 25 | 100% | 0 |
+| pylsp-mypy | yes | 8072.02 | 180.04 | 5 | 25 | 100% | 0 |
 
 ### queryset completion
 
@@ -123,10 +123,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyright | yes | 4.61 | 7.35 | 100% | 10.00 | 0.00 | pass |
-| Ty | yes | 4.72 | 7.07 | 100% | 261.00 | +251.00 | pass |
-| Pyrefly | yes | 15.42 | 60.47 | 100% | 15.00 | +5.00 | pass |
-| pylsp-mypy | yes | 208.65 | 638.35 | 100% | 2.00 | -8.00 | pass |
+| Ty | yes | 5.04 | 7.54 | 100% | 261.00 | +251.00 | pass |
+| Pyright | yes | 5.24 | 8.38 | 100% | 10.00 | 0.00 | pass |
+| Pyrefly | yes | 15.72 | 61.79 | 100% | 15.00 | +5.00 | pass |
+| pylsp-mypy | yes | 218.92 | 665.80 | 100% | 2.00 | -8.00 | pass |
 
 ### queryset filter hover
 
@@ -134,10 +134,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 0.25 | 0.28 | 100% | 46.00 | -11.00 | pass |
-| Pyrefly | yes | 0.30 | 0.39 | 100% | 298.00 | +241.00 | pass |
-| Pyright | yes | 0.55 | 0.61 | 100% | 57.00 | 0.00 | pass |
-| pylsp-mypy | yes | 154.43 | 156.34 | 100% | 57.00 | 0.00 | pass |
+| Ty | yes | 0.24 | 0.25 | 100% | 46.00 | -11.00 | pass |
+| Pyrefly | yes | 0.33 | 0.45 | 100% | 298.00 | +241.00 | pass |
+| Pyright | yes | 0.58 | 0.64 | 100% | 57.00 | 0.00 | pass |
+| pylsp-mypy | yes | 163.43 | 172.51 | 100% | 57.00 | 0.00 | pass |
 
 ### model definition
 
@@ -145,10 +145,10 @@ Method: `textDocument/definition`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Definitions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 0.21 | 0.21 | 100% | 1.00 | 0.00 | pass |
+| Ty | yes | 0.20 | 0.21 | 100% | 1.00 | 0.00 | pass |
 | Pyrefly | yes | 0.22 | 0.24 | 100% | 1.00 | 0.00 | pass |
-| Pyright | yes | 0.38 | 0.43 | 100% | 1.00 | 0.00 | pass |
-| pylsp-mypy | yes | 1.05 | 1.08 | 100% | 1.00 | 0.00 | pass |
+| Pyright | yes | 1.09 | 3.13 | 100% | 1.00 | 0.00 | pass |
+| pylsp-mypy | yes | 1.10 | 1.13 | 100% | 1.00 | 0.00 | pass |
 
 ### edit queryset then complete (edit+completion)
 
@@ -156,10 +156,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 4.51 | 4.76 | 100% | 104.00 | 0.00 | pass |
-| Pyrefly | yes | 6.49 | 20.11 | 100% | 83.00 | -21.00 | pass |
-| Pyright | yes | 26.47 | 29.56 | 100% | 104.00 | 0.00 | pass |
-| pylsp-mypy | yes | 252.14 | 286.33 | 100% | 143.00 | +39.00 | pass |
+| Pyrefly | yes | 2.08 | 2.20 | 100% | 83.00 | -21.00 | pass |
+| Ty | yes | 4.85 | 5.60 | 100% | 104.00 | 0.00 | pass |
+| Pyright | yes | 28.14 | 29.66 | 100% | 104.00 | 0.00 | pass |
+| pylsp-mypy | yes | 264.25 | 307.68 | 100% | 143.00 | +39.00 | pass |
 
 ### edit queryset then hover (edit+hover)
 
@@ -167,10 +167,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyrefly | yes | 0.64 | 0.66 | 100% | 858.00 | +775.00 | pass |
-| Ty | yes | 3.06 | 3.10 | 100% | 100.00 | +17.00 | pass |
-| Pyright | yes | 38.90 | 44.11 | 100% | 83.00 | 0.00 | pass |
-| pylsp-mypy | yes | 244.54 | 249.05 | 100% | 71.00 | -12.00 | pass |
+| Ty | yes | 3.11 | 3.15 | 100% | 100.00 | +17.00 | pass |
+| Pyrefly | yes | 4.12 | 11.07 | 100% | 858.00 | +775.00 | pass |
+| Pyright | yes | 41.20 | 49.16 | 100% | 83.00 | 0.00 | pass |
+| pylsp-mypy | yes | 252.50 | 255.68 | 100% | 71.00 | -12.00 | pass |
 
 ### Result Differences
 
@@ -183,10 +183,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Wall clock ms | Avg measured ms | Points | Measured requests | Non-empty % | Failed points |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
-| Ty | yes | 830.51 | 7.90 | 5 | 25 | 100% | 0 |
-| Pyrefly | yes | 1232.89 | 31.43 | 5 | 25 | 100% | 0 |
-| pylsp-mypy | yes | 7896.78 | 135.92 | 5 | 25 | 100% | 0 |
-| Pyright | yes | 11426.79 | 186.74 | 5 | 25 | 100% | 0 |
+| Ty | yes | 859.75 | 8.43 | 5 | 25 | 100% | 0 |
+| Pyrefly | yes | 1156.70 | 29.12 | 5 | 25 | 100% | 0 |
+| pylsp-mypy | yes | 8225.58 | 142.58 | 5 | 25 | 100% | 0 |
+| Pyright | yes | 11762.89 | 188.87 | 5 | 25 | 100% | 0 |
 
 ### report dataframe completion
 
@@ -194,10 +194,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 18.23 | 22.00 | 100% | 1000.00 | +728.80 | pass |
-| pylsp-mypy | yes | 77.60 | 157.39 | 100% | 6.00 | -265.20 | pass |
-| Pyright | yes | 78.84 | 265.02 | 100% | 271.20 | 0.00 | pass |
-| Pyrefly | yes | 81.21 | 322.92 | 100% | 16.00 | -255.20 | pass |
+| Ty | yes | 18.53 | 22.16 | 100% | 1000.00 | +728.80 | pass |
+| Pyright | yes | 80.56 | 265.96 | 100% | 271.20 | 0.00 | pass |
+| pylsp-mypy | yes | 88.82 | 200.14 | 100% | 6.00 | -265.20 | pass |
+| Pyrefly | yes | 92.24 | 368.00 | 100% | 16.00 | -255.20 | pass |
 
 ### dataframe groupby hover
 
@@ -205,10 +205,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 0.28 | 0.31 | 100% | 329.00 | -21.00 | pass |
-| Pyright | yes | 0.77 | 0.88 | 100% | 350.00 | 0.00 | pass |
-| Pyrefly | yes | 4.67 | 5.88 | 100% | 2759.00 | +2409.00 | pass |
-| pylsp-mypy | yes | 191.70 | 193.30 | 100% | 301.00 | -49.00 | pass |
+| Ty | yes | 0.29 | 0.31 | 100% | 329.00 | -21.00 | pass |
+| Pyright | yes | 0.77 | 0.86 | 100% | 350.00 | 0.00 | pass |
+| Pyrefly | yes | 2.33 | 2.50 | 100% | 2759.00 | +2409.00 | pass |
+| pylsp-mypy | yes | 195.33 | 201.68 | 100% | 301.00 | -49.00 | pass |
 
 ### build report definition
 
@@ -216,10 +216,10 @@ Method: `textDocument/definition`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Definitions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 0.21 | 0.22 | 100% | 1.00 | 0.00 | pass |
-| Pyright | yes | 0.44 | 0.50 | 100% | 1.00 | 0.00 | pass |
-| pylsp-mypy | yes | 1.05 | 1.10 | 100% | 1.00 | 0.00 | pass |
-| Pyrefly | yes | 2.93 | 2.94 | 100% | 1.00 | 0.00 | pass |
+| Pyrefly | yes | 0.21 | 0.22 | 100% | 1.00 | 0.00 | pass |
+| Ty | yes | 0.23 | 0.23 | 100% | 1.00 | 0.00 | pass |
+| Pyright | yes | 0.36 | 0.45 | 100% | 1.00 | 0.00 | pass |
+| pylsp-mypy | yes | 1.25 | 1.51 | 100% | 1.00 | 0.00 | pass |
 
 ### edit dataframe then complete (edit+completion)
 
@@ -227,10 +227,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 16.34 | 17.18 | 100% | 448.00 | +8.00 | pass |
-| Pyrefly | yes | 46.41 | 68.95 | 100% | 256.00 | -184.00 | pass |
-| pylsp-mypy | yes | 227.43 | 232.47 | 100% | 441.00 | +1.00 | pass |
-| Pyright | yes | 840.83 | 1378.03 | 100% | 440.00 | 0.00 | pass |
+| Ty | yes | 18.41 | 19.45 | 100% | 448.00 | +8.00 | pass |
+| Pyrefly | yes | 43.63 | 66.53 | 100% | 256.00 | -184.00 | pass |
+| pylsp-mypy | yes | 240.28 | 247.06 | 100% | 441.00 | +1.00 | pass |
+| Pyright | yes | 851.42 | 1397.31 | 100% | 440.00 | 0.00 | pass |
 
 ### edit dataframe then hover (edit+hover)
 
@@ -238,10 +238,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 4.45 | 4.55 | 100% | 4441.00 | +149.00 | pass |
-| Pyright | yes | 12.80 | 15.54 | 100% | 4292.00 | 0.00 | pass |
-| Pyrefly | yes | 21.95 | 83.00 | 100% | 943.00 | -3349.00 | pass |
-| pylsp-mypy | yes | 181.80 | 183.43 | 100% | 232.00 | -4060.00 | pass |
+| Ty | yes | 4.68 | 4.85 | 100% | 4441.00 | +149.00 | pass |
+| Pyrefly | yes | 7.22 | 17.34 | 100% | 943.00 | -3349.00 | pass |
+| Pyright | yes | 11.22 | 13.38 | 100% | 4292.00 | 0.00 | pass |
+| pylsp-mypy | yes | 187.22 | 190.81 | 100% | 232.00 | -4060.00 | pass |
 
 ### Result Differences
 
@@ -254,10 +254,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Wall clock ms | Avg measured ms | Points | Measured requests | Non-empty % | Failed points |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
-| Ty | yes | 366.71 | 2.58 | 5 | 25 | 100% | 0 |
-| Pyrefly | yes | 919.12 | 20.44 | 5 | 25 | 100% | 0 |
-| Pyright | yes | 3582.24 | 48.24 | 5 | 25 | 100% | 0 |
-| pylsp-mypy | no | 7188.29 | 114.45 | 5 | 25 | 60% | 2 |
+| Ty | yes | 385.26 | 2.93 | 5 | 25 | 100% | 0 |
+| Pyrefly | yes | 894.53 | 19.16 | 5 | 25 | 100% | 0 |
+| Pyright | yes | 3876.16 | 52.07 | 5 | 25 | 100% | 0 |
+| pylsp-mypy | no | 7473.87 | 126.24 | 5 | 25 | 60% | 2 |
 
 ### query completion
 
@@ -265,10 +265,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 3.29 | 7.20 | 100% | 1.00 | 0.00 | pass |
-| Pyright | yes | 7.49 | 13.30 | 100% | 1.00 | 0.00 | pass |
-| Pyrefly | yes | 84.29 | 336.20 | 100% | 15.00 | +14.00 | pass |
-| pylsp-mypy | yes | 168.87 | 427.48 | 100% | 1.00 | 0.00 | pass |
+| Ty | yes | 3.32 | 7.43 | 100% | 1.00 | 0.00 | pass |
+| Pyright | yes | 15.15 | 27.81 | 100% | 1.00 | 0.00 | pass |
+| Pyrefly | yes | 90.66 | 361.70 | 100% | 15.00 | +14.00 | pass |
+| pylsp-mypy | yes | 218.77 | 432.53 | 100% | 1.00 | 0.00 | pass |
 
 ### sessionmaker hover
 
@@ -276,10 +276,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 0.40 | 0.42 | 100% | 10621.00 | +49.00 | pass |
-| Pyright | yes | 1.29 | 1.63 | 100% | 10572.00 | 0.00 | pass |
-| Pyrefly | yes | 3.26 | 5.05 | 100% | 15232.00 | +4660.00 | pass |
-| pylsp-mypy | yes | 323.92 | 324.79 | 100% | 10498.00 | -74.00 | pass |
+| Ty | yes | 0.41 | 0.43 | 100% | 10621.00 | +42.00 | pass |
+| Pyrefly | yes | 0.98 | 1.07 | 100% | 15239.00 | +4660.00 | pass |
+| Pyright | yes | 3.34 | 7.80 | 100% | 10579.00 | 0.00 | pass |
+| pylsp-mypy | yes | 333.13 | 339.32 | 100% | 10498.00 | -81.00 | pass |
 
 ### mapped class definition
 
@@ -287,10 +287,10 @@ Method: `textDocument/definition`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Definitions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 0.22 | 0.22 | 100% | 2.00 | +1.00 | pass |
-| Pyright | yes | 0.41 | 0.45 | 100% | 1.00 | 0.00 | pass |
-| pylsp-mypy | yes | 1.10 | 1.14 | 100% | 1.00 | 0.00 | pass |
-| Pyrefly | yes | 2.73 | 2.93 | 100% | 1.00 | 0.00 | pass |
+| Ty | yes | 0.23 | 0.24 | 100% | 2.00 | +1.00 | pass |
+| Pyrefly | yes | 0.26 | 0.28 | 100% | 1.00 | 0.00 | pass |
+| Pyright | yes | 0.74 | 1.62 | 100% | 1.00 | 0.00 | pass |
+| pylsp-mypy | yes | 1.30 | 1.67 | 100% | 1.00 | 0.00 | pass |
 
 ### edit query then complete (edit+completion)
 
@@ -298,10 +298,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyrefly | yes | 3.97 | 6.37 | 100% | 17.00 | -21.00 | pass |
-| Ty | yes | 4.68 | 4.95 | 100% | 23.00 | -15.00 | pass |
-| pylsp-mypy | no | 39.09 | 39.88 | 0% | 0.00 | -38.00 | fail (10) |
-| Pyright | yes | 141.15 | 205.91 | 100% | 38.00 | 0.00 | pass |
+| Pyrefly | yes | 1.82 | 3.06 | 100% | 17.00 | -21.00 | pass |
+| Ty | yes | 5.51 | 6.21 | 100% | 23.00 | -15.00 | pass |
+| pylsp-mypy | no | 40.09 | 41.63 | 0% | 0.00 | -38.00 | fail (10) |
+| Pyright | yes | 140.80 | 175.88 | 100% | 38.00 | 0.00 | pass |
 
 ### edit session then hover (edit+hover)
 
@@ -309,27 +309,27 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 4.32 | 4.40 | 100% | 958.00 | +58.00 | pass |
-| Pyrefly | yes | 7.93 | 24.73 | 100% | 2246.00 | +1346.00 | pass |
-| pylsp-mypy | no | 39.28 | 39.42 | 0% | 0.00 | -900.00 | fail (10) |
-| Pyright | yes | 90.86 | 98.35 | 100% | 900.00 | 0.00 | pass |
+| Pyrefly | yes | 2.11 | 5.48 | 100% | 2242.00 | +1349.00 | pass |
+| Ty | yes | 5.18 | 5.28 | 100% | 951.00 | +58.00 | pass |
+| pylsp-mypy | no | 37.93 | 38.08 | 0% | 0.00 | -893.00 | fail (10) |
+| Pyright | yes | 100.32 | 109.98 | 100% | 893.00 | 0.00 | pass |
 
 ### Result Differences
 
 - query completion: result differences detected (1.00, 15.00).
-- sessionmaker hover: result differences detected (10498.00, 10572.00, 10621.00, 15232.00).
+- sessionmaker hover: result differences detected (10498.00, 10579.00, 10621.00, 15239.00).
 - mapped class definition: result differences detected (1.00, 2.00).
 - edit query then complete (edit+completion): result differences detected (0.00, 17.00, 23.00, 38.00).
-- edit session then hover (edit+hover): result differences detected (0.00, 2246.00, 900.00, 958.00).
+- edit session then hover (edit+hover): result differences detected (0.00, 2242.00, 893.00, 951.00).
 
 ## Benchmark: transformers
 
 | Server | Success | Wall clock ms | Avg measured ms | Points | Measured requests | Non-empty % | Failed points |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
-| Ty | yes | 2732.83 | 4.73 | 5 | 25 | 100% | 0 |
-| Pyright | yes | 15832.26 | 108.35 | 5 | 25 | 80% | 0 |
-| Pyrefly | yes | 5816.53 | 185.85 | 5 | 25 | 80% | 0 |
-| pylsp-mypy | no | 214440.64 | 1548.26 | 5 | 25 | 40% | 2 |
+| Ty | yes | 2837.23 | 5.55 | 5 | 25 | 100% | 0 |
+| Pyright | yes | 16609.58 | 113.87 | 5 | 25 | 80% | 0 |
+| Pyrefly | yes | 5533.74 | 175.02 | 5 | 25 | 80% | 0 |
+| pylsp-mypy | no | 185725.04 | 1593.05 | 5 | 25 | 40% | 2 |
 
 ### classifier pipeline completion
 
@@ -337,10 +337,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 11.32 | 12.38 | 100% | 777.00 | +654.00 | pass |
-| Pyright | yes | 50.54 | 82.65 | 100% | 123.00 | 0.00 | pass |
-| pylsp-mypy | yes | 151.68 | 154.56 | 100% | 2.00 | -121.00 | pass |
-| Pyrefly | yes | 896.29 | 3557.04 | 100% | 15.00 | -108.00 | pass |
+| Ty | yes | 12.16 | 13.05 | 100% | 777.00 | +654.00 | pass |
+| Pyright | yes | 52.47 | 77.79 | 100% | 123.00 | 0.00 | pass |
+| pylsp-mypy | yes | 146.75 | 150.04 | 100% | 2.00 | -121.00 | pass |
+| Pyrefly | yes | 850.43 | 3400.86 | 100% | 15.00 | -108.00 | pass |
 
 ### pipeline hover
 
@@ -348,10 +348,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 0.33 | 0.67 | 100% | 7.00 | -27.00 | pass |
+| Pyrefly | yes | 0.22 | 0.23 | 100% | 48.00 | +14.00 | pass |
+| Ty | yes | 0.25 | 0.28 | 100% | 7.00 | -27.00 | pass |
 | Pyright | yes | 0.45 | 0.51 | 100% | 34.00 | 0.00 | pass |
-| Pyrefly | yes | 3.53 | 5.35 | 100% | 48.00 | +14.00 | pass |
-| pylsp-mypy | no | 2767.88 | 2795.77 | 0% | 0.00 | -34.00 | fail (10) |
+| pylsp-mypy | no | 2814.45 | 2881.02 | 0% | 0.00 | -34.00 | fail (10) |
 
 ### auto tokenizer definition
 
@@ -359,10 +359,10 @@ Method: `textDocument/definition`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Definitions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 0.28 | 0.31 | 100% | 1.00 | 0.00 | pass |
-| Pyright | yes | 0.42 | 0.48 | 100% | 1.00 | 0.00 | pass |
-| Pyrefly | yes | 1.18 | 2.56 | 100% | 1.00 | 0.00 | pass |
-| pylsp-mypy | yes | 2199.99 | 2243.39 | 100% | 1.00 | 0.00 | pass |
+| Pyrefly | yes | 0.24 | 0.27 | 100% | 1.00 | 0.00 | pass |
+| Ty | yes | 0.29 | 0.31 | 100% | 1.00 | 0.00 | pass |
+| Pyright | yes | 0.48 | 0.57 | 100% | 1.00 | 0.00 | pass |
+| pylsp-mypy | yes | 2282.52 | 2350.46 | 100% | 1.00 | 0.00 | pass |
 
 ### edit prediction then complete (edit+completion)
 
@@ -370,10 +370,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| pylsp-mypy | yes | 2.79 | 3.05 | 0% | 0.00 | 0.00 | pass |
-| Ty | yes | 5.97 | 6.14 | 100% | 23.00 | +23.00 | pass |
-| Pyright | yes | 6.72 | 9.09 | 0% | 0.00 | 0.00 | pass |
-| Pyrefly | yes | 25.02 | 37.31 | 0% | 0.00 | 0.00 | pass |
+| Pyrefly | yes | 2.80 | 9.74 | 0% | 0.00 | 0.00 | pass |
+| pylsp-mypy | yes | 2.80 | 3.04 | 0% | 0.00 | 0.00 | pass |
+| Ty | yes | 7.10 | 7.79 | 100% | 23.00 | +23.00 | pass |
+| Pyright | yes | 7.32 | 9.53 | 0% | 0.00 | 0.00 | pass |
 
 ### edit tokenizer then hover (edit+hover)
 
@@ -381,10 +381,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyrefly | yes | 3.23 | 5.44 | 100% | 33.00 | +3.00 | pass |
-| Ty | yes | 5.75 | 5.79 | 100% | 7.00 | -23.00 | pass |
-| Pyright | yes | 483.59 | 517.71 | 100% | 30.00 | 0.00 | pass |
-| pylsp-mypy | no | 2618.97 | 2639.89 | 0% | 0.00 | -30.00 | fail (10) |
+| Ty | yes | 7.92 | 8.78 | 100% | 7.00 | -23.00 | pass |
+| Pyrefly | yes | 21.40 | 38.85 | 100% | 33.00 | +3.00 | pass |
+| Pyright | yes | 508.63 | 537.46 | 100% | 30.00 | 0.00 | pass |
+| pylsp-mypy | no | 2718.75 | 2742.15 | 0% | 0.00 | -30.00 | fail (10) |
 
 ### Result Differences
 
@@ -397,10 +397,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Wall clock ms | Avg measured ms | Points | Measured requests | Non-empty % | Failed points |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
-| Ty | yes | 351.39 | 2.91 | 5 | 25 | 100% | 0 |
-| Pyright | yes | 1526.75 | 9.08 | 5 | 25 | 100% | 0 |
-| Pyrefly | yes | 919.76 | 15.55 | 5 | 25 | 100% | 0 |
-| pylsp-mypy | yes | 4840.11 | 105.62 | 5 | 25 | 100% | 0 |
+| Ty | yes | 362.80 | 3.00 | 5 | 25 | 100% | 0 |
+| Pyright | yes | 1567.35 | 9.64 | 5 | 25 | 100% | 0 |
+| Pyrefly | yes | 1000.96 | 17.72 | 5 | 25 | 100% | 0 |
+| pylsp-mypy | yes | 5112.74 | 117.74 | 5 | 25 | 100% | 0 |
 
 ### request args completion
 
@@ -408,10 +408,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyright | yes | 4.75 | 8.64 | 100% | 14.00 | 0.00 | pass |
-| Ty | yes | 6.29 | 9.21 | 100% | 467.00 | +453.00 | pass |
-| Pyrefly | yes | 66.83 | 203.05 | 100% | 487.80 | +473.80 | pass |
-| pylsp-mypy | yes | 79.83 | 132.23 | 100% | 1.00 | -13.00 | pass |
+| Ty | yes | 6.05 | 8.42 | 100% | 467.00 | +453.00 | pass |
+| Pyright | yes | 6.08 | 10.83 | 100% | 14.00 | 0.00 | pass |
+| Pyrefly | yes | 80.66 | 243.42 | 100% | 487.80 | +473.80 | pass |
+| pylsp-mypy | yes | 95.38 | 175.80 | 100% | 1.00 | -13.00 | pass |
 
 ### client session hover
 
@@ -419,10 +419,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Ty | yes | 0.23 | 0.26 | 100% | 7.00 | -19.00 | pass |
-| Pyright | yes | 0.52 | 0.60 | 100% | 26.00 | 0.00 | pass |
-| Pyrefly | yes | 5.25 | 18.35 | 100% | 167.00 | +141.00 | pass |
-| pylsp-mypy | yes | 123.34 | 196.06 | 100% | 359.00 | +333.00 | pass |
+| Ty | yes | 0.22 | 0.24 | 100% | 7.00 | -19.00 | pass |
+| Pyright | yes | 0.54 | 0.61 | 100% | 26.00 | 0.00 | pass |
+| Pyrefly | yes | 5.55 | 19.53 | 100% | 167.00 | +141.00 | pass |
+| pylsp-mypy | yes | 154.19 | 301.43 | 100% | 359.00 | +333.00 | pass |
 
 ### client references
 
@@ -431,9 +431,9 @@ Method: `textDocument/references`
 | Server | Success | Mean ms | P95 ms | Non-empty % | References found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
 | Pyrefly | yes | 0.33 | 0.35 | 100% | 2.00 | 0.00 | pass |
-| Ty | yes | 0.61 | 0.72 | 100% | 2.00 | 0.00 | pass |
-| Pyright | yes | 0.81 | 1.02 | 100% | 2.00 | 0.00 | pass |
-| pylsp-mypy | yes | 6.93 | 16.32 | 100% | 2.00 | 0.00 | pass |
+| Ty | yes | 0.65 | 0.77 | 100% | 2.00 | 0.00 | pass |
+| Pyright | yes | 0.77 | 0.87 | 100% | 2.00 | 0.00 | pass |
+| pylsp-mypy | yes | 3.08 | 3.53 | 100% | 2.00 | 0.00 | pass |
 
 ### edit response then complete (edit+completion)
 
@@ -441,10 +441,10 @@ Method: `textDocument/completion`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Completions found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyrefly | yes | 3.82 | 4.88 | 100% | 32.00 | -173.00 | pass |
-| Ty | yes | 4.62 | 5.12 | 100% | 225.00 | +20.00 | pass |
-| Pyright | yes | 4.98 | 6.29 | 100% | 205.00 | 0.00 | pass |
-| pylsp-mypy | yes | 87.41 | 88.75 | 100% | 57.00 | -148.00 | pass |
+| Pyrefly | yes | 0.55 | 0.56 | 100% | 32.00 | -173.00 | pass |
+| Pyright | yes | 4.29 | 6.09 | 100% | 205.00 | 0.00 | pass |
+| Ty | yes | 5.07 | 5.51 | 100% | 225.00 | +20.00 | pass |
+| pylsp-mypy | yes | 91.69 | 93.02 | 100% | 57.00 | -148.00 | pass |
 
 ### edit response then hover (edit+hover)
 
@@ -452,10 +452,10 @@ Method: `textDocument/hover`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Hover length | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyrefly | yes | 1.51 | 1.54 | 100% | 9977.00 | +9557.00 | pass |
-| Ty | yes | 2.79 | 2.80 | 100% | 1555.00 | +1135.00 | pass |
-| Pyright | yes | 34.36 | 39.32 | 100% | 420.00 | 0.00 | pass |
-| pylsp-mypy | yes | 230.57 | 231.39 | 100% | 880.00 | +460.00 | pass |
+| Pyrefly | yes | 1.50 | 1.56 | 100% | 9977.00 | +9557.00 | pass |
+| Ty | yes | 2.99 | 3.06 | 100% | 1555.00 | +1135.00 | pass |
+| Pyright | yes | 36.50 | 39.61 | 100% | 420.00 | 0.00 | pass |
+| pylsp-mypy | yes | 244.36 | 255.60 | 100% | 880.00 | +460.00 | pass |
 
 ### Result Differences
 
@@ -468,7 +468,7 @@ Method: `textDocument/hover`
 
 | Server | Success | Wall clock ms | Avg measured ms | Points | Measured requests | Non-empty % | Failed points |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
-| Pyrefly | no | 221.12 | 0.43 | 8 | 40 | 100% | 2 |
+| Pyrefly | no | 220.93 | 0.32 | 8 | 40 | 100% | 2 |
 
 ### builtins semantic tokens
 
@@ -476,7 +476,7 @@ Method: semantic token impl using typeServer/getComputedType
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Semantic tokens found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyrefly | yes | 1.85 | 4.39 | 100% | 30.00 | 0.00 | pass |
+| Pyrefly | yes | 0.99 | 1.06 | 100% | 30.00 | 0.00 | pass |
 
 ### builtin int computed type
 
@@ -484,7 +484,7 @@ Method: `typeServer/getComputedType`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Results found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyrefly | yes | 0.20 | 0.22 | 100% | 7.00 | 0.00 | pass |
+| Pyrefly | yes | 0.19 | 0.21 | 100% | 7.00 | 0.00 | pass |
 
 ### list declared type
 
@@ -492,7 +492,7 @@ Method: `typeServer/getDeclaredType`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Results found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyrefly | yes | 0.23 | 0.24 | 100% | 7.00 | 0.00 | pass |
+| Pyrefly | yes | 0.25 | 0.28 | 100% | 7.00 | 0.00 | pass |
 
 ### generic specialization computed type
 
@@ -500,7 +500,7 @@ Method: `typeServer/getComputedType`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Results found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyrefly | yes | 0.24 | 0.26 | 100% | 7.00 | 0.00 | pass |
+| Pyrefly | yes | 0.23 | 0.24 | 100% | 7.00 | 0.00 | pass |
 
 ### stdlib path computed type
 
@@ -508,7 +508,7 @@ Method: `typeServer/getComputedType`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Results found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyrefly | yes | 0.24 | 0.25 | 100% | 7.00 | 0.00 | pass |
+| Pyrefly | yes | 0.22 | 0.25 | 100% | 7.00 | 0.00 | pass |
 
 ### function argument expected type
 
@@ -516,13 +516,13 @@ Method: `typeServer/getExpectedType`
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Results found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyrefly | yes | 0.23 | 0.25 | 100% | 7.00 | 0.00 | pass |
+| Pyrefly | yes | 0.25 | 0.26 | 100% | 7.00 | 0.00 | pass |
 
 ## Benchmark: tsp_semantic
 
 | Server | Success | Wall clock ms | Avg measured ms | Points | Measured requests | Non-empty % | Failed points |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: |
-| Pyrefly | yes | 5980.47 | 34.71 | 3 | 15 | 100% | 0 |
+| Pyrefly | yes | 5860.70 | 24.13 | 3 | 15 | 100% | 0 |
 
 ### django semantic tokens
 
@@ -530,7 +530,7 @@ Method: semantic token impl using typeServer/getComputedType
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Semantic tokens found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyrefly | yes | 29.70 | 59.23 | 100% | 126.00 | 0.00 | pass |
+| Pyrefly | yes | 14.66 | 22.88 | 100% | 126.00 | 0.00 | pass |
 
 ### transformers semantic tokens
 
@@ -538,7 +538,7 @@ Method: semantic token impl using typeServer/getComputedType
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Semantic tokens found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyrefly | yes | 67.53 | 95.57 | 100% | 74.00 | 0.00 | pass |
+| Pyrefly | yes | 51.81 | 53.03 | 100% | 74.00 | 0.00 | pass |
 
 ### stdlib semantic tokens
 
@@ -546,4 +546,4 @@ Method: semantic token impl using typeServer/getComputedType
 
 | Server | Success | Mean ms | P95 ms | Non-empty % | Semantic tokens found | Delta vs Pyright | Validation |
 | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
-| Pyrefly | yes | 6.90 | 6.97 | 100% | 75.00 | 0.00 | pass |
+| Pyrefly | yes | 5.91 | 5.97 | 100% | 75.00 | 0.00 | pass |
diff --git a/latest-results/ty-20260924T060612Z-responses.jsonl b/latest-results/ty-20260925T060552Z-responses.jsonl
similarity index 99%
rename from latest-results/ty-20260924T060612Z-responses.jsonl
rename to latest-results/ty-20260925T060552Z-responses.jsonl
index 3bb5ee9..5615ccf 100644
--- a/latest-results/ty-20260924T060612Z-responses.jsonl
+++ b/latest-results/ty-20260925T060552Z-responses.jsonl
@@ -83,21 +83,21 @@
 {"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 3, "result": {"contents": {"kind": "plaintext", "value": "def mapped_column[_T](\n    __name_pos: str | type[TypeEngine[Any]] | TypeEngine[Any] | SchemaEventTarget | None = None,\n    __type_pos: type[TypeEngine[Any]] | TypeEngine[Any] | SchemaEventTarget | None = None,\n    /,\n    *args: SchemaEventTarget,\n    init: _NoArg | bool = ...,\n    repr: _NoArg | bool = ...,\n    default: Any | None = ...,\n    default_factory: _NoArg | (() -> _T) = ...,\n    compare: _NoArg | bool = ...,\n    kw_only: _NoArg | bool = ...,\n    hash: _NoArg | bool | None = ...,\n    nullable: bool | Literal[SchemaConst.NULL_UNSPECIFIED] | None = SchemaConst.NULL_UNSPECIFIED,\n    primary_key: bool | None = False,\n    deferred: _NoArg | bool = ...,\n    deferred_group: str | None = None,\n    deferred_raiseload: bool | None = None,\n    use_existing_column: bool = False,\n    name: str | None = None,\n    type_: type[TypeEngine[Any]] | TypeEngine[Any] | None = None,\n    autoincrement: bool | Literal[\"auto\", \"ignore_fk\"] = \"auto\",\n    doc: str | None = None,\n    key: str | None = None,\n    index: bool | None = None,\n    unique: bool | None = None,\n    info: dict[Any, Any] | None = None,\n    onupdate: Any | None = None,\n    insert_default: Any | None = ...,\n    server_default: FetchedValue | str | TextClause | ColumnElement[Any] | None = None,\n    server_onupdate: FetchedValue | str | TextClause | ColumnElement[Any] | None = None,\n    active_history: bool = False,\n    quote: bool | None = None,\n    system: bool = False,\n    comment: str | None = None,\n    sort_order: _NoArg | int = ...,\n    dataclass_metadata: _NoArg | Mapping[Any, Any] | None = ...,\n    **kw: Any\n) -> MappedColumn[Any]\n---------------------------------------------\ndeclare a new ORM-mapped :class:`_schema.Column` construct\nfor use within :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\nThe :func:`_orm.mapped_column` function provides an ORM-aware and\nPython-typing-compatible construct which is used with\n:ref:`declarative <orm_declarative_mapping>` mappings to indicate an\nattribute that's mapped to a Core :class:`_schema.Column` object.  It\nprovides the equivalent feature as mapping an attribute to a\n:class:`_schema.Column` object directly when using Declarative,\nspecifically when using :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\n.. versionadded:: 2.0\n\n:func:`_orm.mapped_column` is normally used with explicit typing along with\nthe :class:`_orm.Mapped` annotation type, where it can derive the SQL\ntype and nullability for the column based on what's present within the\n:class:`_orm.Mapped` annotation.   It also may be used without annotations\nas a drop-in replacement for how :class:`_schema.Column` is used in\nDeclarative mappings in SQLAlchemy 1.x style.\n\nFor usage examples of :func:`_orm.mapped_column`, see the documentation\nat :ref:`orm_declarative_table`.\n\n.. seealso::\n\n    :ref:`orm_declarative_table` - complete documentation\n\n    :ref:`whatsnew_20_orm_declarative_typing` - migration notes for\n    Declarative mappings using 1.x style mappings\n\n:param __name: String name to give to the :class:`_schema.Column`.  This\n is an optional, positional only argument that if present must be the\n first positional argument passed.  If omitted, the attribute name to\n which the :func:`_orm.mapped_column`  is mapped will be used as the SQL\n column name.\n:param __type: :class:`_types.TypeEngine` type or instance which will\n indicate the datatype to be associated with the :class:`_schema.Column`.\n This is an optional, positional-only argument that if present must\n immediately follow the ``__name`` parameter if present also, or otherwise\n be the first positional parameter.  If omitted, the ultimate type for\n the column may be derived either from the annotated type, or if a\n :class:`_schema.ForeignKey` is present, from the datatype of the\n referenced column.\n:param \\*args: Additional positional arguments include constructs such\n as :class:`_schema.ForeignKey`, :class:`_schema.CheckConstraint`,\n and :class:`_schema.Identity`, which are passed through to the constructed\n :class:`_schema.Column`.\n:param nullable: Optional bool, whether the column should be \"NULL\" or\n \"NOT NULL\". If omitted, the nullability is derived from the type\n annotation based on whether or not ``typing.Optional`` (or its equivalent)\n is present.  ``nullable`` defaults to ``True`` otherwise for non-primary\n key columns, and ``False`` for primary key columns.\n:param primary_key: optional bool, indicates the :class:`_schema.Column`\n would be part of the table's primary key or not.\n:param deferred: Optional bool - this keyword argument is consumed by the\n ORM declarative process, and is not part of the :class:`_schema.Column`\n itself; instead, it indicates that this column should be \"deferred\" for\n loading as though mapped by :func:`_orm.deferred`.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_declarative`\n\n:param deferred_group: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.group` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_group`\n\n:param deferred_raiseload: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.raiseload` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_raiseload`\n\n:param use_existing_column: if True, will attempt to locate the given\n column name on an inherited superclass (typically single inheriting\n superclass), and if present, will not produce a new column, mapping\n to the superclass column as though it were omitted from this class.\n This is used for mixins that add new columns to an inherited superclass.\n\n .. seealso::\n\n    :ref:`orm_inheritance_column_conflicts`\n\n .. versionadded:: 2.0.0b4\n\n:param default: Passed directly to the\n :paramref:`_schema.Column.default` parameter if the\n :paramref:`_orm.mapped_column.insert_default` parameter is not present.\n Additionally, when used with :ref:`orm_declarative_native_dataclasses`,\n indicates a default Python value that should be applied to the keyword\n constructor within the generated ``__init__()`` method.\n\n Note that in the case of dataclass generation when\n :paramref:`_orm.mapped_column.insert_default` is not present, this means\n the :paramref:`_orm.mapped_column.default` value is used in **two**\n places, both the ``__init__()`` method as well as the\n :paramref:`_schema.Column.default` parameter. While this behavior may\n change in a future release, for the moment this tends to \"work out\"; a\n default of ``None`` will mean that the :class:`_schema.Column` gets no\n default generator, whereas a default that refers to a non-``None`` Python\n or SQL expression value will be assigned up front on the object when\n ``__init__()`` is called, which is the same value that the Core\n :class:`_sql.Insert` construct would use in any case, leading to the same\n end result.\n\n .. note:: When using Core level column defaults that are callables to\n    be interpreted by the underlying :class:`_schema.Column` in conjunction\n    with :ref:`ORM-mapped dataclasses\n    <orm_declarative_native_dataclasses>`, especially those that are\n    :ref:`context-aware default functions <context_default_functions>`,\n    **the** :paramref:`_orm.mapped_column.insert_default` **parameter must\n    be used instead**.  This is necessary to disambiguate the callable from\n    being interpreted as a dataclass level default.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param insert_default: Passed directly to the\n :paramref:`_schema.Column.default` parameter; will supersede the value\n of :paramref:`_orm.mapped_column.default` when present, however\n :paramref:`_orm.mapped_column.default` will always apply to the\n constructor default for a dataclasses mapping.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param sort_order: An integer that indicates how this mapped column\n should be sorted compared to the others when the ORM is creating a\n :class:`_schema.Table`. Among mapped columns that have the same\n value the default ordering is used, placing first the mapped columns\n defined in the main class, then the ones in the super classes.\n Defaults to 0. The sort is ascending.\n\n .. versionadded:: 2.0.4\n\n:param active_history=False:\n\n    When ``True``, indicates that the \"previous\" value for a\n    scalar attribute should be loaded when replaced, if not\n    already loaded. Normally, history tracking logic for\n    simple non-primary-key scalar values only needs to be\n    aware of the \"new\" value in order to perform a flush. This\n    flag is available for applications that make use of\n    :func:`.attributes.get_history` or :meth:`.Session.is_modified`\n    which also need to know the \"previous\" value of the attribute.\n\n    .. versionadded:: 2.0.10\n\n\n:param init: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__init__()``\n method as generated by the dataclass process.\n:param repr: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__repr__()``\n method as generated by the dataclass process.\n:param default_factory: Specific to\n :ref:`orm_declarative_native_dataclasses`,\n specifies a default-value generation function that will take place\n as part of the ``__init__()``\n method as generated by the dataclass process.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n:param compare: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be included in comparison operations when generating the\n ``__eq__()`` and ``__ne__()`` methods for the mapped class.\n\n .. versionadded:: 2.0.0b4\n\n:param kw_only: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be marked as keyword-only when generating the ``__init__()``.\n\n:param hash: Specific to\n :ref:`orm_declarative_native_dataclasses`, controls if this field\n is included when generating the ``__hash__()`` method for the mapped\n class.\n\n .. versionadded:: 2.0.36\n\n:param dataclass_metadata: Specific to\n :ref:`orm_declarative_native_dataclasses`, supplies metadata\n to be attached to the generated dataclass field.\n\n .. versionadded:: 2.0.42\n\n:param \\**kw: All remaining keyword arguments are passed through to the\n constructor for the :class:`_schema.Column`.\n"}, "range": {"end": {"character": 37, "line": 12}, "start": {"character": 24, "line": 12}}}}
 {"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 4, "result": {"contents": {"kind": "plaintext", "value": "def mapped_column[_T](\n    __name_pos: str | type[TypeEngine[Any]] | TypeEngine[Any] | SchemaEventTarget | None = None,\n    __type_pos: type[TypeEngine[Any]] | TypeEngine[Any] | SchemaEventTarget | None = None,\n    /,\n    *args: SchemaEventTarget,\n    init: _NoArg | bool = ...,\n    repr: _NoArg | bool = ...,\n    default: Any | None = ...,\n    default_factory: _NoArg | (() -> _T) = ...,\n    compare: _NoArg | bool = ...,\n    kw_only: _NoArg | bool = ...,\n    hash: _NoArg | bool | None = ...,\n    nullable: bool | Literal[SchemaConst.NULL_UNSPECIFIED] | None = SchemaConst.NULL_UNSPECIFIED,\n    primary_key: bool | None = False,\n    deferred: _NoArg | bool = ...,\n    deferred_group: str | None = None,\n    deferred_raiseload: bool | None = None,\n    use_existing_column: bool = False,\n    name: str | None = None,\n    type_: type[TypeEngine[Any]] | TypeEngine[Any] | None = None,\n    autoincrement: bool | Literal[\"auto\", \"ignore_fk\"] = \"auto\",\n    doc: str | None = None,\n    key: str | None = None,\n    index: bool | None = None,\n    unique: bool | None = None,\n    info: dict[Any, Any] | None = None,\n    onupdate: Any | None = None,\n    insert_default: Any | None = ...,\n    server_default: FetchedValue | str | TextClause | ColumnElement[Any] | None = None,\n    server_onupdate: FetchedValue | str | TextClause | ColumnElement[Any] | None = None,\n    active_history: bool = False,\n    quote: bool | None = None,\n    system: bool = False,\n    comment: str | None = None,\n    sort_order: _NoArg | int = ...,\n    dataclass_metadata: _NoArg | Mapping[Any, Any] | None = ...,\n    **kw: Any\n) -> MappedColumn[Any]\n---------------------------------------------\ndeclare a new ORM-mapped :class:`_schema.Column` construct\nfor use within :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\nThe :func:`_orm.mapped_column` function provides an ORM-aware and\nPython-typing-compatible construct which is used with\n:ref:`declarative <orm_declarative_mapping>` mappings to indicate an\nattribute that's mapped to a Core :class:`_schema.Column` object.  It\nprovides the equivalent feature as mapping an attribute to a\n:class:`_schema.Column` object directly when using Declarative,\nspecifically when using :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\n.. versionadded:: 2.0\n\n:func:`_orm.mapped_column` is normally used with explicit typing along with\nthe :class:`_orm.Mapped` annotation type, where it can derive the SQL\ntype and nullability for the column based on what's present within the\n:class:`_orm.Mapped` annotation.   It also may be used without annotations\nas a drop-in replacement for how :class:`_schema.Column` is used in\nDeclarative mappings in SQLAlchemy 1.x style.\n\nFor usage examples of :func:`_orm.mapped_column`, see the documentation\nat :ref:`orm_declarative_table`.\n\n.. seealso::\n\n    :ref:`orm_declarative_table` - complete documentation\n\n    :ref:`whatsnew_20_orm_declarative_typing` - migration notes for\n    Declarative mappings using 1.x style mappings\n\n:param __name: String name to give to the :class:`_schema.Column`.  This\n is an optional, positional only argument that if present must be the\n first positional argument passed.  If omitted, the attribute name to\n which the :func:`_orm.mapped_column`  is mapped will be used as the SQL\n column name.\n:param __type: :class:`_types.TypeEngine` type or instance which will\n indicate the datatype to be associated with the :class:`_schema.Column`.\n This is an optional, positional-only argument that if present must\n immediately follow the ``__name`` parameter if present also, or otherwise\n be the first positional parameter.  If omitted, the ultimate type for\n the column may be derived either from the annotated type, or if a\n :class:`_schema.ForeignKey` is present, from the datatype of the\n referenced column.\n:param \\*args: Additional positional arguments include constructs such\n as :class:`_schema.ForeignKey`, :class:`_schema.CheckConstraint`,\n and :class:`_schema.Identity`, which are passed through to the constructed\n :class:`_schema.Column`.\n:param nullable: Optional bool, whether the column should be \"NULL\" or\n \"NOT NULL\". If omitted, the nullability is derived from the type\n annotation based on whether or not ``typing.Optional`` (or its equivalent)\n is present.  ``nullable`` defaults to ``True`` otherwise for non-primary\n key columns, and ``False`` for primary key columns.\n:param primary_key: optional bool, indicates the :class:`_schema.Column`\n would be part of the table's primary key or not.\n:param deferred: Optional bool - this keyword argument is consumed by the\n ORM declarative process, and is not part of the :class:`_schema.Column`\n itself; instead, it indicates that this column should be \"deferred\" for\n loading as though mapped by :func:`_orm.deferred`.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_declarative`\n\n:param deferred_group: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.group` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_group`\n\n:param deferred_raiseload: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.raiseload` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_raiseload`\n\n:param use_existing_column: if True, will attempt to locate the given\n column name on an inherited superclass (typically single inheriting\n superclass), and if present, will not produce a new column, mapping\n to the superclass column as though it were omitted from this class.\n This is used for mixins that add new columns to an inherited superclass.\n\n .. seealso::\n\n    :ref:`orm_inheritance_column_conflicts`\n\n .. versionadded:: 2.0.0b4\n\n:param default: Passed directly to the\n :paramref:`_schema.Column.default` parameter if the\n :paramref:`_orm.mapped_column.insert_default` parameter is not present.\n Additionally, when used with :ref:`orm_declarative_native_dataclasses`,\n indicates a default Python value that should be applied to the keyword\n constructor within the generated ``__init__()`` method.\n\n Note that in the case of dataclass generation when\n :paramref:`_orm.mapped_column.insert_default` is not present, this means\n the :paramref:`_orm.mapped_column.default` value is used in **two**\n places, both the ``__init__()`` method as well as the\n :paramref:`_schema.Column.default` parameter. While this behavior may\n change in a future release, for the moment this tends to \"work out\"; a\n default of ``None`` will mean that the :class:`_schema.Column` gets no\n default generator, whereas a default that refers to a non-``None`` Python\n or SQL expression value will be assigned up front on the object when\n ``__init__()`` is called, which is the same value that the Core\n :class:`_sql.Insert` construct would use in any case, leading to the same\n end result.\n\n .. note:: When using Core level column defaults that are callables to\n    be interpreted by the underlying :class:`_schema.Column` in conjunction\n    with :ref:`ORM-mapped dataclasses\n    <orm_declarative_native_dataclasses>`, especially those that are\n    :ref:`context-aware default functions <context_default_functions>`,\n    **the** :paramref:`_orm.mapped_column.insert_default` **parameter must\n    be used instead**.  This is necessary to disambiguate the callable from\n    being interpreted as a dataclass level default.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param insert_default: Passed directly to the\n :paramref:`_schema.Column.default` parameter; will supersede the value\n of :paramref:`_orm.mapped_column.default` when present, however\n :paramref:`_orm.mapped_column.default` will always apply to the\n constructor default for a dataclasses mapping.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param sort_order: An integer that indicates how this mapped column\n should be sorted compared to the others when the ORM is creating a\n :class:`_schema.Table`. Among mapped columns that have the same\n value the default ordering is used, placing first the mapped columns\n defined in the main class, then the ones in the super classes.\n Defaults to 0. The sort is ascending.\n\n .. versionadded:: 2.0.4\n\n:param active_history=False:\n\n    When ``True``, indicates that the \"previous\" value for a\n    scalar attribute should be loaded when replaced, if not\n    already loaded. Normally, history tracking logic for\n    simple non-primary-key scalar values only needs to be\n    aware of the \"new\" value in order to perform a flush. This\n    flag is available for applications that make use of\n    :func:`.attributes.get_history` or :meth:`.Session.is_modified`\n    which also need to know the \"previous\" value of the attribute.\n\n    .. versionadded:: 2.0.10\n\n\n:param init: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__init__()``\n method as generated by the dataclass process.\n:param repr: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__repr__()``\n method as generated by the dataclass process.\n:param default_factory: Specific to\n :ref:`orm_declarative_native_dataclasses`,\n specifies a default-value generation function that will take place\n as part of the ``__init__()``\n method as generated by the dataclass process.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n:param compare: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be included in comparison operations when generating the\n ``__eq__()`` and ``__ne__()`` methods for the mapped class.\n\n .. versionadded:: 2.0.0b4\n\n:param kw_only: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be marked as keyword-only when generating the ``__init__()``.\n\n:param hash: Specific to\n :ref:`orm_declarative_native_dataclasses`, controls if this field\n is included when generating the ``__hash__()`` method for the mapped\n class.\n\n .. versionadded:: 2.0.36\n\n:param dataclass_metadata: Specific to\n :ref:`orm_declarative_native_dataclasses`, supplies metadata\n to be attached to the generated dataclass field.\n\n .. versionadded:: 2.0.42\n\n:param \\**kw: All remaining keyword arguments are passed through to the\n constructor for the :class:`_schema.Column`.\n"}, "range": {"end": {"character": 37, "line": 12}, "start": {"character": 24, "line": 12}}}}
 {"suite": "sqlalchemy", "label": "sessionmaker hover", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 12, "character": 27, "iteration": 5, "result": {"contents": {"kind": "plaintext", "value": "def mapped_column[_T](\n    __name_pos: str | type[TypeEngine[Any]] | TypeEngine[Any] | SchemaEventTarget | None = None,\n    __type_pos: type[TypeEngine[Any]] | TypeEngine[Any] | SchemaEventTarget | None = None,\n    /,\n    *args: SchemaEventTarget,\n    init: _NoArg | bool = ...,\n    repr: _NoArg | bool = ...,\n    default: Any | None = ...,\n    default_factory: _NoArg | (() -> _T) = ...,\n    compare: _NoArg | bool = ...,\n    kw_only: _NoArg | bool = ...,\n    hash: _NoArg | bool | None = ...,\n    nullable: bool | Literal[SchemaConst.NULL_UNSPECIFIED] | None = SchemaConst.NULL_UNSPECIFIED,\n    primary_key: bool | None = False,\n    deferred: _NoArg | bool = ...,\n    deferred_group: str | None = None,\n    deferred_raiseload: bool | None = None,\n    use_existing_column: bool = False,\n    name: str | None = None,\n    type_: type[TypeEngine[Any]] | TypeEngine[Any] | None = None,\n    autoincrement: bool | Literal[\"auto\", \"ignore_fk\"] = \"auto\",\n    doc: str | None = None,\n    key: str | None = None,\n    index: bool | None = None,\n    unique: bool | None = None,\n    info: dict[Any, Any] | None = None,\n    onupdate: Any | None = None,\n    insert_default: Any | None = ...,\n    server_default: FetchedValue | str | TextClause | ColumnElement[Any] | None = None,\n    server_onupdate: FetchedValue | str | TextClause | ColumnElement[Any] | None = None,\n    active_history: bool = False,\n    quote: bool | None = None,\n    system: bool = False,\n    comment: str | None = None,\n    sort_order: _NoArg | int = ...,\n    dataclass_metadata: _NoArg | Mapping[Any, Any] | None = ...,\n    **kw: Any\n) -> MappedColumn[Any]\n---------------------------------------------\ndeclare a new ORM-mapped :class:`_schema.Column` construct\nfor use within :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\nThe :func:`_orm.mapped_column` function provides an ORM-aware and\nPython-typing-compatible construct which is used with\n:ref:`declarative <orm_declarative_mapping>` mappings to indicate an\nattribute that's mapped to a Core :class:`_schema.Column` object.  It\nprovides the equivalent feature as mapping an attribute to a\n:class:`_schema.Column` object directly when using Declarative,\nspecifically when using :ref:`Declarative Table <orm_declarative_table>`\nconfiguration.\n\n.. versionadded:: 2.0\n\n:func:`_orm.mapped_column` is normally used with explicit typing along with\nthe :class:`_orm.Mapped` annotation type, where it can derive the SQL\ntype and nullability for the column based on what's present within the\n:class:`_orm.Mapped` annotation.   It also may be used without annotations\nas a drop-in replacement for how :class:`_schema.Column` is used in\nDeclarative mappings in SQLAlchemy 1.x style.\n\nFor usage examples of :func:`_orm.mapped_column`, see the documentation\nat :ref:`orm_declarative_table`.\n\n.. seealso::\n\n    :ref:`orm_declarative_table` - complete documentation\n\n    :ref:`whatsnew_20_orm_declarative_typing` - migration notes for\n    Declarative mappings using 1.x style mappings\n\n:param __name: String name to give to the :class:`_schema.Column`.  This\n is an optional, positional only argument that if present must be the\n first positional argument passed.  If omitted, the attribute name to\n which the :func:`_orm.mapped_column`  is mapped will be used as the SQL\n column name.\n:param __type: :class:`_types.TypeEngine` type or instance which will\n indicate the datatype to be associated with the :class:`_schema.Column`.\n This is an optional, positional-only argument that if present must\n immediately follow the ``__name`` parameter if present also, or otherwise\n be the first positional parameter.  If omitted, the ultimate type for\n the column may be derived either from the annotated type, or if a\n :class:`_schema.ForeignKey` is present, from the datatype of the\n referenced column.\n:param \\*args: Additional positional arguments include constructs such\n as :class:`_schema.ForeignKey`, :class:`_schema.CheckConstraint`,\n and :class:`_schema.Identity`, which are passed through to the constructed\n :class:`_schema.Column`.\n:param nullable: Optional bool, whether the column should be \"NULL\" or\n \"NOT NULL\". If omitted, the nullability is derived from the type\n annotation based on whether or not ``typing.Optional`` (or its equivalent)\n is present.  ``nullable`` defaults to ``True`` otherwise for non-primary\n key columns, and ``False`` for primary key columns.\n:param primary_key: optional bool, indicates the :class:`_schema.Column`\n would be part of the table's primary key or not.\n:param deferred: Optional bool - this keyword argument is consumed by the\n ORM declarative process, and is not part of the :class:`_schema.Column`\n itself; instead, it indicates that this column should be \"deferred\" for\n loading as though mapped by :func:`_orm.deferred`.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_declarative`\n\n:param deferred_group: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.group` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_group`\n\n:param deferred_raiseload: Implies :paramref:`_orm.mapped_column.deferred`\n to ``True``, and set the :paramref:`_orm.deferred.raiseload` parameter.\n\n .. seealso::\n\n    :ref:`orm_queryguide_deferred_raiseload`\n\n:param use_existing_column: if True, will attempt to locate the given\n column name on an inherited superclass (typically single inheriting\n superclass), and if present, will not produce a new column, mapping\n to the superclass column as though it were omitted from this class.\n This is used for mixins that add new columns to an inherited superclass.\n\n .. seealso::\n\n    :ref:`orm_inheritance_column_conflicts`\n\n .. versionadded:: 2.0.0b4\n\n:param default: Passed directly to the\n :paramref:`_schema.Column.default` parameter if the\n :paramref:`_orm.mapped_column.insert_default` parameter is not present.\n Additionally, when used with :ref:`orm_declarative_native_dataclasses`,\n indicates a default Python value that should be applied to the keyword\n constructor within the generated ``__init__()`` method.\n\n Note that in the case of dataclass generation when\n :paramref:`_orm.mapped_column.insert_default` is not present, this means\n the :paramref:`_orm.mapped_column.default` value is used in **two**\n places, both the ``__init__()`` method as well as the\n :paramref:`_schema.Column.default` parameter. While this behavior may\n change in a future release, for the moment this tends to \"work out\"; a\n default of ``None`` will mean that the :class:`_schema.Column` gets no\n default generator, whereas a default that refers to a non-``None`` Python\n or SQL expression value will be assigned up front on the object when\n ``__init__()`` is called, which is the same value that the Core\n :class:`_sql.Insert` construct would use in any case, leading to the same\n end result.\n\n .. note:: When using Core level column defaults that are callables to\n    be interpreted by the underlying :class:`_schema.Column` in conjunction\n    with :ref:`ORM-mapped dataclasses\n    <orm_declarative_native_dataclasses>`, especially those that are\n    :ref:`context-aware default functions <context_default_functions>`,\n    **the** :paramref:`_orm.mapped_column.insert_default` **parameter must\n    be used instead**.  This is necessary to disambiguate the callable from\n    being interpreted as a dataclass level default.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param insert_default: Passed directly to the\n :paramref:`_schema.Column.default` parameter; will supersede the value\n of :paramref:`_orm.mapped_column.default` when present, however\n :paramref:`_orm.mapped_column.default` will always apply to the\n constructor default for a dataclasses mapping.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.default_factory`\n\n:param sort_order: An integer that indicates how this mapped column\n should be sorted compared to the others when the ORM is creating a\n :class:`_schema.Table`. Among mapped columns that have the same\n value the default ordering is used, placing first the mapped columns\n defined in the main class, then the ones in the super classes.\n Defaults to 0. The sort is ascending.\n\n .. versionadded:: 2.0.4\n\n:param active_history=False:\n\n    When ``True``, indicates that the \"previous\" value for a\n    scalar attribute should be loaded when replaced, if not\n    already loaded. Normally, history tracking logic for\n    simple non-primary-key scalar values only needs to be\n    aware of the \"new\" value in order to perform a flush. This\n    flag is available for applications that make use of\n    :func:`.attributes.get_history` or :meth:`.Session.is_modified`\n    which also need to know the \"previous\" value of the attribute.\n\n    .. versionadded:: 2.0.10\n\n\n:param init: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__init__()``\n method as generated by the dataclass process.\n:param repr: Specific to :ref:`orm_declarative_native_dataclasses`,\n specifies if the mapped attribute should be part of the ``__repr__()``\n method as generated by the dataclass process.\n:param default_factory: Specific to\n :ref:`orm_declarative_native_dataclasses`,\n specifies a default-value generation function that will take place\n as part of the ``__init__()``\n method as generated by the dataclass process.\n\n .. seealso::\n\n    :ref:`defaults_default_factory_insert_default`\n\n    :paramref:`_orm.mapped_column.default`\n\n    :paramref:`_orm.mapped_column.insert_default`\n\n:param compare: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be included in comparison operations when generating the\n ``__eq__()`` and ``__ne__()`` methods for the mapped class.\n\n .. versionadded:: 2.0.0b4\n\n:param kw_only: Specific to\n :ref:`orm_declarative_native_dataclasses`, indicates if this field\n should be marked as keyword-only when generating the ``__init__()``.\n\n:param hash: Specific to\n :ref:`orm_declarative_native_dataclasses`, controls if this field\n is included when generating the ``__hash__()`` method for the mapped\n class.\n\n .. versionadded:: 2.0.36\n\n:param dataclass_metadata: Specific to\n :ref:`orm_declarative_native_dataclasses`, supplies metadata\n to be attached to the generated dataclass field.\n\n .. versionadded:: 2.0.42\n\n:param \\**kw: All remaining keyword arguments are passed through to the\n constructor for the :class:`_schema.Column`.\n"}, "range": {"end": {"character": 37, "line": 12}, "start": {"character": 24, "line": 12}}}}
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-{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 1, "result": {"contents": {"kind": "plaintext", "value": "def scalars[_T](\n    statement: TypedReturnsRows[tuple[_T]],\n    params: Sequence[Mapping[str, Any]] | Mapping[str, Any] | None = None,\n    *,\n    execution_options: _OrmKnownExecutionOptions | Mapping[str, Any] = ...,\n    bind_arguments: dict[str, Any] | None = None,\n    **kw: Any\n) -> ScalarResult[_T]\n---------------------------------------------\nExecute a statement and return the results as scalars.\n\nUsage and parameters are the same as that of\n:meth:`_orm.Session.execute`; the return result is a\n:class:`_result.ScalarResult` filtering object which\nwill return single elements rather than :class:`_row.Row` objects.\n\n:return:  a :class:`_result.ScalarResult` object\n\n.. versionadded:: 1.4.24 Added :meth:`_orm.Session.scalars`\n\n.. versionadded:: 1.4.26 Added :meth:`_orm.scoped_session.scalars`\n\n.. seealso::\n\n    :ref:`orm_queryguide_select_orm_entities` - contrasts the behavior\n    of :meth:`_orm.Session.execute` to :meth:`_orm.Session.scalars`\n"}, "range": {"end": {"character": 28, "line": 18}, "start": {"character": 21, "line": 18}}}}
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-{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 5, "result": {"contents": {"kind": "plaintext", "value": "def scalars[_T](\n    statement: TypedReturnsRows[tuple[_T]],\n    params: Sequence[Mapping[str, Any]] | Mapping[str, Any] | None = None,\n    *,\n    execution_options: _OrmKnownExecutionOptions | Mapping[str, Any] = ...,\n    bind_arguments: dict[str, Any] | None = None,\n    **kw: Any\n) -> ScalarResult[_T]\n---------------------------------------------\nExecute a statement and return the results as scalars.\n\nUsage and parameters are the same as that of\n:meth:`_orm.Session.execute`; the return result is a\n:class:`_result.ScalarResult` filtering object which\nwill return single elements rather than :class:`_row.Row` objects.\n\n:return:  a :class:`_result.ScalarResult` object\n\n.. versionadded:: 1.4.24 Added :meth:`_orm.Session.scalars`\n\n.. versionadded:: 1.4.26 Added :meth:`_orm.scoped_session.scalars`\n\n.. seealso::\n\n    :ref:`orm_queryguide_select_orm_entities` - contrasts the behavior\n    of :meth:`_orm.Session.execute` to :meth:`_orm.Session.scalars`\n"}, "range": {"end": {"character": 28, "line": 18}, "start": {"character": 21, "line": 18}}}}
+{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 1, "result": {"contents": {"kind": "plaintext", "value": "def scalars[_T](\n    statement: TypedReturnsRows[_T],\n    params: Sequence[Mapping[str, Any]] | Mapping[str, Any] | None = None,\n    *,\n    execution_options: _OrmKnownExecutionOptions | Mapping[str, Any] = ...,\n    bind_arguments: dict[str, Any] | None = None,\n    **kw: Any\n) -> ScalarResult[_T]\n---------------------------------------------\nExecute a statement and return the results as scalars.\n\nUsage and parameters are the same as that of\n:meth:`_orm.Session.execute`; the return result is a\n:class:`_result.ScalarResult` filtering object which\nwill return single elements rather than :class:`_row.Row` objects.\n\n:return:  a :class:`_result.ScalarResult` object\n\n.. versionadded:: 1.4.24 Added :meth:`_orm.Session.scalars`\n\n.. versionadded:: 1.4.26 Added :meth:`_orm.scoped_session.scalars`\n\n.. seealso::\n\n    :ref:`orm_queryguide_select_orm_entities` - contrasts the behavior\n    of :meth:`_orm.Session.execute` to :meth:`_orm.Session.scalars`\n"}, "range": {"end": {"character": 28, "line": 18}, "start": {"character": 21, "line": 18}}}}
+{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 2, "result": {"contents": {"kind": "plaintext", "value": "def scalars[_T](\n    statement: TypedReturnsRows[_T],\n    params: Sequence[Mapping[str, Any]] | Mapping[str, Any] | None = None,\n    *,\n    execution_options: _OrmKnownExecutionOptions | Mapping[str, Any] = ...,\n    bind_arguments: dict[str, Any] | None = None,\n    **kw: Any\n) -> ScalarResult[_T]\n---------------------------------------------\nExecute a statement and return the results as scalars.\n\nUsage and parameters are the same as that of\n:meth:`_orm.Session.execute`; the return result is a\n:class:`_result.ScalarResult` filtering object which\nwill return single elements rather than :class:`_row.Row` objects.\n\n:return:  a :class:`_result.ScalarResult` object\n\n.. versionadded:: 1.4.24 Added :meth:`_orm.Session.scalars`\n\n.. versionadded:: 1.4.26 Added :meth:`_orm.scoped_session.scalars`\n\n.. seealso::\n\n    :ref:`orm_queryguide_select_orm_entities` - contrasts the behavior\n    of :meth:`_orm.Session.execute` to :meth:`_orm.Session.scalars`\n"}, "range": {"end": {"character": 28, "line": 18}, "start": {"character": 21, "line": 18}}}}
+{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 3, "result": {"contents": {"kind": "plaintext", "value": "def scalars[_T](\n    statement: TypedReturnsRows[_T],\n    params: Sequence[Mapping[str, Any]] | Mapping[str, Any] | None = None,\n    *,\n    execution_options: _OrmKnownExecutionOptions | Mapping[str, Any] = ...,\n    bind_arguments: dict[str, Any] | None = None,\n    **kw: Any\n) -> ScalarResult[_T]\n---------------------------------------------\nExecute a statement and return the results as scalars.\n\nUsage and parameters are the same as that of\n:meth:`_orm.Session.execute`; the return result is a\n:class:`_result.ScalarResult` filtering object which\nwill return single elements rather than :class:`_row.Row` objects.\n\n:return:  a :class:`_result.ScalarResult` object\n\n.. versionadded:: 1.4.24 Added :meth:`_orm.Session.scalars`\n\n.. versionadded:: 1.4.26 Added :meth:`_orm.scoped_session.scalars`\n\n.. seealso::\n\n    :ref:`orm_queryguide_select_orm_entities` - contrasts the behavior\n    of :meth:`_orm.Session.execute` to :meth:`_orm.Session.scalars`\n"}, "range": {"end": {"character": 28, "line": 18}, "start": {"character": 21, "line": 18}}}}
+{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 4, "result": {"contents": {"kind": "plaintext", "value": "def scalars[_T](\n    statement: TypedReturnsRows[_T],\n    params: Sequence[Mapping[str, Any]] | Mapping[str, Any] | None = None,\n    *,\n    execution_options: _OrmKnownExecutionOptions | Mapping[str, Any] = ...,\n    bind_arguments: dict[str, Any] | None = None,\n    **kw: Any\n) -> ScalarResult[_T]\n---------------------------------------------\nExecute a statement and return the results as scalars.\n\nUsage and parameters are the same as that of\n:meth:`_orm.Session.execute`; the return result is a\n:class:`_result.ScalarResult` filtering object which\nwill return single elements rather than :class:`_row.Row` objects.\n\n:return:  a :class:`_result.ScalarResult` object\n\n.. versionadded:: 1.4.24 Added :meth:`_orm.Session.scalars`\n\n.. versionadded:: 1.4.26 Added :meth:`_orm.scoped_session.scalars`\n\n.. seealso::\n\n    :ref:`orm_queryguide_select_orm_entities` - contrasts the behavior\n    of :meth:`_orm.Session.execute` to :meth:`_orm.Session.scalars`\n"}, "range": {"end": {"character": 28, "line": 18}, "start": {"character": 21, "line": 18}}}}
+{"suite": "sqlalchemy", "label": "edit session then hover (edit+hover)", "method": "textDocument/hover", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/sqlalchemy/src/models.py", "line": 18, "character": 24, "iteration": 5, "result": {"contents": {"kind": "plaintext", "value": "def scalars[_T](\n    statement: TypedReturnsRows[_T],\n    params: Sequence[Mapping[str, Any]] | Mapping[str, Any] | None = None,\n    *,\n    execution_options: _OrmKnownExecutionOptions | Mapping[str, Any] = ...,\n    bind_arguments: dict[str, Any] | None = None,\n    **kw: Any\n) -> ScalarResult[_T]\n---------------------------------------------\nExecute a statement and return the results as scalars.\n\nUsage and parameters are the same as that of\n:meth:`_orm.Session.execute`; the return result is a\n:class:`_result.ScalarResult` filtering object which\nwill return single elements rather than :class:`_row.Row` objects.\n\n:return:  a :class:`_result.ScalarResult` object\n\n.. versionadded:: 1.4.24 Added :meth:`_orm.Session.scalars`\n\n.. versionadded:: 1.4.26 Added :meth:`_orm.scoped_session.scalars`\n\n.. seealso::\n\n    :ref:`orm_queryguide_select_orm_entities` - contrasts the behavior\n    of :meth:`_orm.Session.execute` to :meth:`_orm.Session.scalars`\n"}, "range": {"end": {"character": 28, "line": 18}, "start": {"character": 21, "line": 18}}}}
 {"suite": "transformers", "label": "classifier pipeline completion", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/transformers/src/inference.py", "line": 15, "character": 19, "iteration": 1, "result": {"isIncomplete": true, "items": [{"detail": "Unknown", "documentation": {"kind": "plaintext", "value": "`Unknown` is a dynamic type inferred due to missing type information or an inference error.\n\nty infers `Unknown` for unannotated values with insufficient type information. It also uses it as a\nfallback after certain type errors. This contrasts with `Any`, which represents an *explicitly*\nannotated dynamic type. Like `Any`, however, it is a dynamic type, so ty allows any operation on it.\n"}, "label": "classifier", "sortText": "  0"}, {"additionalTextEdits": [{"newText": "import dataclasses\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "dataclasses", "kind": 9, "label": "dataclasses (import dataclasses)", "sortText": "  1"}, {"detail": "<class 'classmethod'>", "documentation": {"kind": "plaintext", "value": "Convert a function to be a class method.\n\nA class method receives the class as implicit first argument,\njust like an instance method receives the instance.\nTo declare a class method, use this idiom:\n\n  class C:\n      @classmethod\n      def f(cls, arg1, arg2, argN):\n          ...\n\nIt can be called either on the class (e.g. C.f()) or on an instance\n(e.g. C().f()).  The instance is ignored except for its class.\nIf a class method is called for a derived class, the derived class\nobject is passed as the implied first argument.\n\nClass methods are different than C++ or Java static methods.\nIf you want those, see the staticmethod builtin.\n"}, "kind": 7, "label": "classmethod", "sortText": "  2"}, {"detail": "def issubclass(cls: type, class_or_tuple: _ClassInfo, /) -> bool", "documentation": {"kind": "plaintext", "value": "Return whether 'cls' is derived from another class or is the same class.\n\nA tuple, as in ``issubclass(x, (A, B, ...))``, may be given as the\ntarget to check against.  This is equivalent to ``issubclass(x, A) or\nissubclass(x, B) or ...``.\n"}, "kind": 3, "label": "issubclass", "sortText": "  3"}, {"additionalTextEdits": [{"newText": "from python_lsp_compare.tsp_semantic_tokens import CLASS_MEMBER_MODIFIER\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "CLASS_MEMBER_MODIFIER", "kind": 21, "label": "CLASS_MEMBER_MODIFIER (import python_lsp_compare.tsp_semantic_tokens)", "sortText": "  4"}, {"additionalTextEdits": [{"newText": "from typing import ClassVar\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassVar", "kind": 6, "label": "ClassVar (import typing)", "sortText": "  5"}, {"additionalTextEdits": [{"newText": "from typing import dataclass_transform\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "dataclass_transform", "kind": 3, "label": "dataclass_transform (import typing)", "sortText": "  6"}, {"additionalTextEdits": [{"newText": "from msilib.schema import Class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Class", "kind": 6, "label": "Class (import msilib.schema)", "sortText": "  7"}, {"additionalTextEdits": [{"newText": "from pyclbr import Class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Class", "kind": 7, "label": "Class (import pyclbr)", "sortText": "  8"}, {"additionalTextEdits": [{"newText": "from symtable import Class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Class", "kind": 7, "label": "Class (import symtable)", "sortText": "  9"}, {"additionalTextEdits": [{"newText": "from transformers.utils.auto_docstring import ClassAttrs\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassAttrs", "kind": 7, "label": "ClassAttrs (import transformers.utils.auto_docstring)", "sortText": " 10"}, {"additionalTextEdits": [{"newText": "from ast import ClassDef\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassDef", "kind": 7, "label": "ClassDef (import ast)", "sortText": " 11"}, {"additionalTextEdits": [{"newText": "from transformers.utils.auto_docstring import ClassDocstring\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassDocstring", "kind": 7, "label": "ClassDocstring (import transformers.utils.auto_docstring)", "sortText": " 12"}, {"additionalTextEdits": [{"newText": "from transformers.commands.add_new_model_like import ClassFinder\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassFinder", "kind": 7, "label": "ClassFinder (import transformers.commands.add_new_model_like)", "sortText": " 13"}, {"additionalTextEdits": [{"newText": "from inspect import ClassFoundException\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassFoundException", "kind": 7, "label": "ClassFoundException (import inspect)", "sortText": " 14"}, {"additionalTextEdits": [{"newText": "from transformers.activations import ClassInstantier\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassInstantier", "kind": 7, "label": "ClassInstantier (import transformers.activations)", "sortText": " 15"}, {"additionalTextEdits": [{"newText": "from types import ClassMethodDescriptorType\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassMethodDescriptorType", "kind": 7, "label": "ClassMethodDescriptorType (import types)", "sortText": " 16"}, {"additionalTextEdits": [{"newText": "from typing_extensions import ClassVar\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassVar", "kind": 6, "label": "ClassVar (import typing_extensions)", "sortText": " 17"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.image_classification import ClassificationFunction\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassificationFunction", "kind": 7, "label": "ClassificationFunction (import transformers.pipelines.image_classification)", "sortText": " 18"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.text_classification import ClassificationFunction\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassificationFunction", "kind": 7, "label": "ClassificationFunction (import transformers.pipelines.text_classification)", "sortText": " 19"}, {"additionalTextEdits": [{"newText": ", ClassifierFreeGuidanceLogitsProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ClassifierFreeGuidanceLogitsProcessor", "kind": 6, "label": "ClassifierFreeGuidanceLogitsProcessor (import transformers)", "sortText": " 20"}, {"additionalTextEdits": [{"newText": "from transformers.generation.logits_process import ClassifierFreeGuidanceLogitsProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassifierFreeGuidanceLogitsProcessor", "kind": 7, "label": "ClassifierFreeGuidanceLogitsProcessor (import transformers.generation.logits_process)", "sortText": " 21"}, {"additionalTextEdits": [{"newText": "from transformers.utils.dummy_pt_objects import ClassifierFreeGuidanceLogitsProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassifierFreeGuidanceLogitsProcessor", "kind": 7, "label": "ClassifierFreeGuidanceLogitsProcessor (import transformers.utils.dummy_pt_objects)", "sortText": " 22"}, {"additionalTextEdits": [{"newText": "from inspect import classify_class_attrs\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "classify_class_attrs", "kind": 3, "label": "classify_class_attrs (import inspect)", "sortText": " 23"}, {"additionalTextEdits": [{"newText": "from subprocess import ABOVE_NORMAL_PRIORITY_CLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ABOVE_NORMAL_PRIORITY_CLASS", "kind": 21, "label": "ABOVE_NORMAL_PRIORITY_CLASS (import subprocess)", "sortText": " 24"}, {"additionalTextEdits": [{"newText": ", ASTForAudioClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ASTForAudioClassification", "kind": 7, "label": "ASTForAudioClassification (import transformers)", "sortText": " 25"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import AUDIO_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AUDIO_CLASSIFICATION_SAMPLE", "kind": 21, "label": "AUDIO_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": " 26"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import AUDIO_FRAME_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AUDIO_FRAME_CLASSIFICATION_SAMPLE", "kind": 21, "label": "AUDIO_FRAME_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": " 27"}, {"additionalTextEdits": [{"newText": "from transformers.processing_utils import AUTO_TO_BASE_CLASS_MAPPING\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AUTO_TO_BASE_CLASS_MAPPING", "kind": 21, "label": "AUTO_TO_BASE_CLASS_MAPPING (import transformers.processing_utils)", "sortText": " 28"}, {"additionalTextEdits": [{"newText": ", AlbertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AlbertForSequenceClassification", "kind": 7, "label": "AlbertForSequenceClassification (import transformers)", "sortText": " 29"}, {"additionalTextEdits": [{"newText": ", AlbertForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AlbertForTokenClassification", "kind": 7, "label": "AlbertForTokenClassification (import transformers)", "sortText": " 30"}, {"additionalTextEdits": [{"newText": "from transformers.models.apertus import ApertusForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ApertusForTokenClassification", "kind": 7, "label": "ApertusForTokenClassification (import transformers.models.apertus)", "sortText": " 31"}, {"additionalTextEdits": [{"newText": "from transformers.models.apertus.modular_apertus import ApertusForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ApertusForTokenClassification", "kind": 7, "label": "ApertusForTokenClassification (import transformers.models.apertus.modular_apertus)", "sortText": " 32"}, {"additionalTextEdits": [{"newText": ", ArceeForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ArceeForSequenceClassification", "kind": 7, "label": "ArceeForSequenceClassification (import transformers)", "sortText": " 33"}, {"additionalTextEdits": [{"newText": "from transformers.models.arcee.modular_arcee import ArceeForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ArceeForSequenceClassification", "kind": 7, "label": "ArceeForSequenceClassification (import 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"AudioClassificationInput (import huggingface_hub)", "sortText": " 37"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import AudioClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AudioClassificationOutputElement", "kind": 6, "label": "AudioClassificationOutputElement (import huggingface_hub)", "sortText": " 38"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import AudioClassificationOutputTransform\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AudioClassificationOutputTransform", "kind": 6, "label": "AudioClassificationOutputTransform (import huggingface_hub)", "sortText": " 39"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import AudioClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AudioClassificationParameters", "kind": 6, "label": "AudioClassificationParameters (import huggingface_hub)", "sortText": " 40"}, {"additionalTextEdits": [{"newText": ", AudioClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AudioClassificationPipeline", "kind": 6, "label": "AudioClassificationPipeline (import transformers)", "sortText": " 41"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.audio_classification import AudioClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AudioClassificationPipeline", "kind": 7, "label": "AudioClassificationPipeline (import transformers.pipelines.audio_classification)", "sortText": " 42"}, {"additionalTextEdits": [{"newText": ", AutoModelForAudioClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForAudioClassification", "kind": 7, "label": "AutoModelForAudioClassification (import transformers)", "sortText": " 43"}, {"additionalTextEdits": [{"newText": ", AutoModelForAudioFrameClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForAudioFrameClassification", "kind": 7, "label": "AutoModelForAudioFrameClassification (import transformers)", "sortText": " 44"}, {"additionalTextEdits": [{"newText": ", AutoModelForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForImageClassification", "kind": 7, "label": "AutoModelForImageClassification (import transformers)", "sortText": " 45"}, {"additionalTextEdits": [{"newText": ", AutoModelForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForSequenceClassification", "kind": 7, "label": "AutoModelForSequenceClassification (import transformers)", "sortText": " 46"}, {"additionalTextEdits": [{"newText": ", AutoModelForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForTokenClassification", "kind": 7, "label": "AutoModelForTokenClassification (import transformers)", "sortText": " 47"}, {"additionalTextEdits": [{"newText": ", AutoModelForVideoClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForVideoClassification", "kind": 7, "label": "AutoModelForVideoClassification (import transformers)", "sortText": " 48"}, {"additionalTextEdits": [{"newText": ", AutoModelForZeroShotImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForZeroShotImageClassification", "kind": 7, "label": "AutoModelForZeroShotImageClassification (import transformers)", "sortText": " 49"}, {"additionalTextEdits": [{"newText": "from subprocess import BELOW_NORMAL_PRIORITY_CLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "BELOW_NORMAL_PRIORITY_CLASS", "kind": 21, "label": "BELOW_NORMAL_PRIORITY_CLASS (import subprocess)", "sortText": " 50"}, {"additionalTextEdits": [{"newText": ", BartForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BartForSequenceClassification", "kind": 7, "label": "BartForSequenceClassification (import transformers)", "sortText": " 51"}, {"additionalTextEdits": [{"newText": ", BeitForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BeitForImageClassification", "kind": 7, "label": "BeitForImageClassification (import transformers)", "sortText": " 52"}, {"additionalTextEdits": [{"newText": ", BertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BertForSequenceClassification", "kind": 7, "label": "BertForSequenceClassification (import transformers)", "sortText": " 53"}, {"additionalTextEdits": [{"newText": ", BertForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BertForTokenClassification", "kind": 7, "label": "BertForTokenClassification (import transformers)", "sortText": " 54"}, {"additionalTextEdits": [{"newText": ", BigBirdForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BigBirdForSequenceClassification", "kind": 7, "label": "BigBirdForSequenceClassification (import transformers)", "sortText": " 55"}, {"additionalTextEdits": [{"newText": ", BigBirdForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BigBirdForTokenClassification", "kind": 7, "label": "BigBirdForTokenClassification (import transformers)", "sortText": " 56"}, {"additionalTextEdits": [{"newText": ", BigBirdPegasusForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BigBirdPegasusForSequenceClassification", "kind": 7, "label": "BigBirdPegasusForSequenceClassification (import transformers)", "sortText": " 57"}, {"additionalTextEdits": [{"newText": ", BioGptForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BioGptForSequenceClassification", "kind": 7, "label": "BioGptForSequenceClassification (import transformers)", "sortText": " 58"}, {"additionalTextEdits": [{"newText": "from transformers.models.biogpt.modular_biogpt import BioGptForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "BioGptForSequenceClassification", "kind": 7, "label": "BioGptForSequenceClassification (import transformers.models.biogpt.modular_biogpt)", "sortText": " 59"}, {"additionalTextEdits": [{"newText": ", BioGptForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BioGptForTokenClassification", "kind": 7, "label": "BioGptForTokenClassification (import transformers)", "sortText": " 60"}, {"additionalTextEdits": [{"newText": "from transformers.models.biogpt.modular_biogpt import BioGptForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "BioGptForTokenClassification", "kind": 7, "label": "BioGptForTokenClassification (import transformers.models.biogpt.modular_biogpt)", "sortText": " 61"}, {"additionalTextEdits": [{"newText": ", BitForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, 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"BrosForTokenClassification (import transformers)", "sortText": " 65"}, {"additionalTextEdits": [{"newText": ", BrosSpadeEEForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BrosSpadeEEForTokenClassification", "kind": 7, "label": "BrosSpadeEEForTokenClassification (import transformers)", "sortText": " 66"}, {"additionalTextEdits": [{"newText": ", BrosSpadeELForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BrosSpadeELForTokenClassification", "kind": 7, "label": "BrosSpadeELForTokenClassification (import transformers)", "sortText": " 67"}, {"additionalTextEdits": [{"newText": ", CLIPForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CLIPForImageClassification", "kind": 7, "label": "CLIPForImageClassification (import transformers)", "sortText": " 68"}, {"additionalTextEdits": [{"newText": ", CTRLForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CTRLForSequenceClassification", "kind": 7, "label": "CTRLForSequenceClassification (import transformers)", "sortText": " 69"}, {"additionalTextEdits": [{"newText": ", CamembertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CamembertForSequenceClassification", "kind": 7, "label": "CamembertForSequenceClassification (import transformers)", "sortText": " 70"}, {"additionalTextEdits": [{"newText": ", CamembertForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CamembertForTokenClassification", "kind": 7, "label": "CamembertForTokenClassification (import transformers)", "sortText": " 71"}, {"additionalTextEdits": [{"newText": ", CanineForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CanineForSequenceClassification", "kind": 7, "label": "CanineForSequenceClassification (import transformers)", "sortText": " 72"}, {"additionalTextEdits": [{"newText": ", CanineForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CanineForTokenClassification", "kind": 7, "label": "CanineForTokenClassification (import transformers)", "sortText": " 73"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ChatCompletionInputToolChoiceClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ChatCompletionInputToolChoiceClass", "kind": 6, "label": "ChatCompletionInputToolChoiceClass (import huggingface_hub)", "sortText": " 74"}, {"additionalTextEdits": [{"newText": ", ConvBertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ConvBertForSequenceClassification", "kind": 7, "label": "ConvBertForSequenceClassification (import transformers)", "sortText": " 75"}, {"additionalTextEdits": [{"newText": ", ConvBertForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ConvBertForTokenClassification", "kind": 7, "label": "ConvBertForTokenClassification (import transformers)", "sortText": " 76"}, {"additionalTextEdits": [{"newText": ", ConvNextForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ConvNextForImageClassification", "kind": 7, "label": "ConvNextForImageClassification (import transformers)", "sortText": " 77"}, {"additionalTextEdits": [{"newText": ", ConvNextV2ForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ConvNextV2ForImageClassification", "kind": 7, "label": "ConvNextV2ForImageClassification (import transformers)", "sortText": " 78"}, {"additionalTextEdits": [{"newText": ", CvtForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CvtForImageClassification", "kind": 7, "label": "CvtForImageClassification (import transformers)", "sortText": " 79"}, {"additionalTextEdits": [{"newText": ", Data2VecAudioForAudioFrameClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Data2VecAudioForAudioFrameClassification", "kind": 7, "label": "Data2VecAudioForAudioFrameClassification (import transformers)", "sortText": " 80"}, {"additionalTextEdits": [{"newText": "from transformers.models.data2vec.modular_data2vec_audio import Data2VecAudioForAudioFrameClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Data2VecAudioForAudioFrameClassification", "kind": 7, "label": "Data2VecAudioForAudioFrameClassification (import transformers.models.data2vec.modular_data2vec_audio)", "sortText": " 81"}, {"additionalTextEdits": [{"newText": ", Data2VecAudioForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Data2VecAudioForSequenceClassification", "kind": 7, "label": "Data2VecAudioForSequenceClassification (import transformers)", "sortText": " 82"}, {"additionalTextEdits": [{"newText": "from transformers.models.data2vec.modular_data2vec_audio import Data2VecAudioForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Data2VecAudioForSequenceClassification", "kind": 7, "label": "Data2VecAudioForSequenceClassification (import transformers.models.data2vec.modular_data2vec_audio)", "sortText": " 83"}, {"additionalTextEdits": [{"newText": ", Data2VecTextForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Data2VecTextForSequenceClassification", "kind": 7, "label": "Data2VecTextForSequenceClassification (import transformers)", "sortText": " 84"}, {"additionalTextEdits": [{"newText": ", Data2VecTextForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Data2VecTextForTokenClassification", "kind": 7, "label": "Data2VecTextForTokenClassification (import transformers)", "sortText": " 85"}, {"additionalTextEdits": [{"newText": ", Data2VecVisionForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Data2VecVisionForImageClassification", "kind": 7, "label": "Data2VecVisionForImageClassification (import transformers)", "sortText": " 86"}, {"additionalTextEdits": [{"newText": "from transformers.hf_argparser import DataClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DataClass", "kind": 6, "label": "DataClass (import transformers.hf_argparser)", "sortText": " 87"}, {"additionalTextEdits": [{"newText": "from transformers.hf_argparser import DataClassType\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DataClassType", "kind": 6, "label": "DataClassType (import transformers.hf_argparser)", "sortText": " 88"}, {"additionalTextEdits": [{"newText": ", DataCollatorForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DataCollatorForTokenClassification", "kind": 7, "label": "DataCollatorForTokenClassification (import transformers)", "sortText": " 89"}, {"additionalTextEdits": [{"newText": "from huggingface_hub.hub_mixin import DataclassInstance\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DataclassInstance", "kind": 7, "label": "DataclassInstance (import huggingface_hub.hub_mixin)", "sortText": " 90"}, {"additionalTextEdits": [{"newText": ", DebertaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DebertaForSequenceClassification", "kind": 7, "label": "DebertaForSequenceClassification (import transformers)", "sortText": " 91"}, {"additionalTextEdits": [{"newText": ", DebertaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DebertaForTokenClassification", "kind": 7, "label": "DebertaForTokenClassification (import transformers)", "sortText": " 92"}, {"additionalTextEdits": [{"newText": ", DebertaV2ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DebertaV2ForSequenceClassification", "kind": 7, "label": "DebertaV2ForSequenceClassification (import transformers)", "sortText": " 93"}, {"additionalTextEdits": [{"newText": ", DebertaV2ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DebertaV2ForTokenClassification", "kind": 7, "label": "DebertaV2ForTokenClassification (import transformers)", "sortText": " 94"}, {"additionalTextEdits": [{"newText": ", DeepseekV2ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DeepseekV2ForSequenceClassification", "kind": 7, "label": "DeepseekV2ForSequenceClassification (import transformers)", "sortText": " 95"}, {"additionalTextEdits": [{"newText": "from transformers.models.deepseek_v2.modular_deepseek_v2 import DeepseekV2ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DeepseekV2ForSequenceClassification", "kind": 7, "label": "DeepseekV2ForSequenceClassification (import transformers.models.deepseek_v2.modular_deepseek_v2)", "sortText": " 96"}, {"additionalTextEdits": [{"newText": ", DeepseekV3ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DeepseekV3ForSequenceClassification", "kind": 7, "label": "DeepseekV3ForSequenceClassification (import transformers)", "sortText": " 97"}, {"additionalTextEdits": [{"newText": "from transformers.models.deepseek_v3.modular_deepseek_v3 import DeepseekV3ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DeepseekV3ForSequenceClassification", "kind": 7, "label": "DeepseekV3ForSequenceClassification (import transformers.models.deepseek_v3.modular_deepseek_v3)", "sortText": " 98"}, {"additionalTextEdits": [{"newText": ", DeepseekV3ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DeepseekV3ForTokenClassification", "kind": 7, "label": "DeepseekV3ForTokenClassification (import transformers)", "sortText": " 99"}, {"additionalTextEdits": [{"newText": "from transformers.models.deepseek_v3.modular_deepseek_v3 import DeepseekV3ForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DeepseekV3ForTokenClassification", "kind": 7, "label": "DeepseekV3ForTokenClassification (import transformers.models.deepseek_v3.modular_deepseek_v3)", "sortText": "100"}, {"additionalTextEdits": [{"newText": ", DeiTForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DeiTForImageClassification", "kind": 7, "label": "DeiTForImageClassification (import transformers)", "sortText": "101"}, {"additionalTextEdits": [{"newText": ", DeiTForImageClassificationWithTeacher", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DeiTForImageClassificationWithTeacher", "kind": 7, "label": "DeiTForImageClassificationWithTeacher (import transformers)", "sortText": "102"}, {"additionalTextEdits": [{"newText": "from transformers.generation.logits_process import DiaClassifierFreeGuidanceLogitsProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DiaClassifierFreeGuidanceLogitsProcessor", "kind": 7, "label": "DiaClassifierFreeGuidanceLogitsProcessor (import transformers.generation.logits_process)", "sortText": "103"}, {"additionalTextEdits": [{"newText": ", DiffLlamaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DiffLlamaForSequenceClassification", "kind": 7, "label": "DiffLlamaForSequenceClassification (import transformers)", "sortText": "104"}, {"additionalTextEdits": [{"newText": "from transformers.models.diffllama.modular_diffllama import DiffLlamaForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DiffLlamaForSequenceClassification", "kind": 7, "label": "DiffLlamaForSequenceClassification (import transformers.models.diffllama.modular_diffllama)", "sortText": "105"}, {"additionalTextEdits": [{"newText": ", DiffLlamaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DiffLlamaForTokenClassification", "kind": 7, "label": "DiffLlamaForTokenClassification (import transformers)", "sortText": "106"}, {"additionalTextEdits": [{"newText": "from transformers.models.diffllama.modular_diffllama import DiffLlamaForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DiffLlamaForTokenClassification", "kind": 7, "label": "DiffLlamaForTokenClassification (import transformers.models.diffllama.modular_diffllama)", "sortText": "107"}, {"additionalTextEdits": [{"newText": ", DinatForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DinatForImageClassification", "kind": 7, "label": "DinatForImageClassification (import transformers)", "sortText": "108"}, {"additionalTextEdits": [{"newText": ", Dinov2ForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Dinov2ForImageClassification", "kind": 7, "label": "Dinov2ForImageClassification (import transformers)", "sortText": "109"}, {"additionalTextEdits": [{"newText": ", Dinov2WithRegistersForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Dinov2WithRegistersForImageClassification", "kind": 7, "label": "Dinov2WithRegistersForImageClassification (import transformers)", "sortText": "110"}, {"additionalTextEdits": [{"newText": "from transformers.models.dinov2_with_registers.modular_dinov2_with_registers import Dinov2WithRegistersForImageClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Dinov2WithRegistersForImageClassification", "kind": 7, "label": "Dinov2WithRegistersForImageClassification (import transformers.models.dinov2_with_registers.modular_dinov2_with_registers)", "sortText": "111"}, {"additionalTextEdits": [{"newText": ", DistilBertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DistilBertForSequenceClassification", "kind": 7, "label": "DistilBertForSequenceClassification (import transformers)", "sortText": "112"}, {"additionalTextEdits": [{"newText": ", 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"FlaxElectraForSequenceClassification", "kind": 7, "label": "FlaxElectraForSequenceClassification (import transformers)", "sortText": "162"}, {"additionalTextEdits": [{"newText": ", FlaxElectraForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "FlaxElectraForTokenClassification", "kind": 7, "label": "FlaxElectraForTokenClassification (import transformers)", "sortText": "163"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_flax_outputs import FlaxImageClassifierOutputWithNoAttention\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "FlaxImageClassifierOutputWithNoAttention", "kind": 7, "label": "FlaxImageClassifierOutputWithNoAttention (import transformers.modeling_flax_outputs)", "sortText": "164"}, {"additionalTextEdits": [{"newText": ", FlaxMBartForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": 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"FlaxRoFormerForSequenceClassification", "kind": 7, "label": "FlaxRoFormerForSequenceClassification (import transformers)", "sortText": "168"}, {"additionalTextEdits": [{"newText": ", FlaxRoFormerForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "FlaxRoFormerForTokenClassification", "kind": 7, "label": "FlaxRoFormerForTokenClassification (import transformers)", "sortText": "169"}, {"additionalTextEdits": [{"newText": ", FlaxRobertaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "FlaxRobertaForSequenceClassification", "kind": 7, "label": "FlaxRobertaForSequenceClassification (import transformers)", "sortText": "170"}, {"additionalTextEdits": [{"newText": ", FlaxRobertaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "FlaxRobertaForTokenClassification", "kind": 7, "label": "FlaxRobertaForTokenClassification (import transformers)", "sortText": "171"}, {"additionalTextEdits": [{"newText": ", FlaxRobertaPreLayerNormForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "FlaxRobertaPreLayerNormForSequenceClassification", "kind": 7, "label": "FlaxRobertaPreLayerNormForSequenceClassification (import transformers)", "sortText": "172"}, {"additionalTextEdits": [{"newText": ", FlaxRobertaPreLayerNormForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "FlaxRobertaPreLayerNormForTokenClassification", "kind": 7, "label": "FlaxRobertaPreLayerNormForTokenClassification (import transformers)", "sortText": "173"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_flax_outputs import FlaxSeq2SeqSequenceClassifierOutput\n", "range": {"end": 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FlaxXLMRobertaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "FlaxXLMRobertaForTokenClassification", "kind": 7, "label": "FlaxXLMRobertaForTokenClassification (import transformers)", "sortText": "180"}, {"additionalTextEdits": [{"newText": ", FocalNetForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "FocalNetForImageClassification", "kind": 7, "label": "FocalNetForImageClassification (import transformers)", "sortText": "181"}, {"additionalTextEdits": [{"newText": "from transformers.loss.loss_utils import ForSequenceClassificationLoss\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ForSequenceClassificationLoss", "kind": 3, "label": "ForSequenceClassificationLoss (import transformers.loss.loss_utils)", "sortText": "182"}, {"additionalTextEdits": [{"newText": "from transformers.loss.loss_utils import ForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ForTokenClassification", "kind": 3, "label": "ForTokenClassification (import transformers.loss.loss_utils)", "sortText": "183"}, {"additionalTextEdits": [{"newText": ", FunnelForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "FunnelForSequenceClassification", "kind": 7, "label": "FunnelForSequenceClassification (import transformers)", "sortText": "184"}, {"additionalTextEdits": [{"newText": ", FunnelForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "FunnelForTokenClassification", "kind": 7, "label": "FunnelForTokenClassification (import transformers)", "sortText": "185"}, {"additionalTextEdits": [{"newText": ", GPT2ForSequenceClassification", "range": {"end": 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"insertText": "GPTBigCodeForTokenClassification", "kind": 7, "label": "GPTBigCodeForTokenClassification (import transformers)", "sortText": "189"}, {"additionalTextEdits": [{"newText": ", GPTJForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GPTJForSequenceClassification", "kind": 7, "label": "GPTJForSequenceClassification (import transformers)", "sortText": "190"}, {"additionalTextEdits": [{"newText": ", GPTNeoForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GPTNeoForSequenceClassification", "kind": 7, "label": "GPTNeoForSequenceClassification (import transformers)", "sortText": "191"}, {"additionalTextEdits": [{"newText": ", GPTNeoForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GPTNeoForTokenClassification", "kind": 7, "label": "GPTNeoForTokenClassification (import transformers)", "sortText": "192"}, {"additionalTextEdits": [{"newText": ", GPTNeoXForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GPTNeoXForSequenceClassification", "kind": 7, "label": "GPTNeoXForSequenceClassification (import transformers)", "sortText": "193"}, {"additionalTextEdits": [{"newText": "from transformers.models.gpt_neox.modular_gpt_neox import GPTNeoXForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GPTNeoXForSequenceClassification", "kind": 7, "label": "GPTNeoXForSequenceClassification (import transformers.models.gpt_neox.modular_gpt_neox)", "sortText": "194"}, {"additionalTextEdits": [{"newText": ", GPTNeoXForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GPTNeoXForTokenClassification", "kind": 7, "label": "GPTNeoXForTokenClassification (import transformers)", "sortText": "195"}, {"additionalTextEdits": [{"newText": "from transformers.models.gpt_neox.modular_gpt_neox import GPTNeoXForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GPTNeoXForTokenClassification", "kind": 7, "label": "GPTNeoXForTokenClassification (import transformers.models.gpt_neox.modular_gpt_neox)", "sortText": "196"}, {"additionalTextEdits": [{"newText": ", Gemma2ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Gemma2ForSequenceClassification", "kind": 7, "label": "Gemma2ForSequenceClassification (import transformers)", "sortText": "197"}, {"additionalTextEdits": [{"newText": "from transformers.models.gemma2.modular_gemma2 import Gemma2ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Gemma2ForSequenceClassification", "kind": 7, "label": "Gemma2ForSequenceClassification (import transformers.models.gemma2.modular_gemma2)", "sortText": "198"}, {"additionalTextEdits": [{"newText": ", Gemma2ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Gemma2ForTokenClassification", "kind": 7, "label": "Gemma2ForTokenClassification (import transformers)", "sortText": "199"}, {"additionalTextEdits": [{"newText": "from transformers.models.gemma2.modular_gemma2 import Gemma2ForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Gemma2ForTokenClassification", "kind": 7, "label": "Gemma2ForTokenClassification (import transformers.models.gemma2.modular_gemma2)", "sortText": "200"}, {"additionalTextEdits": [{"newText": ", Gemma3ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Gemma3ForSequenceClassification", "kind": 7, "label": "Gemma3ForSequenceClassification (import transformers)", "sortText": "201"}, {"additionalTextEdits": [{"newText": "from transformers.models.gemma3.modular_gemma3 import Gemma3ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Gemma3ForSequenceClassification", "kind": 7, "label": "Gemma3ForSequenceClassification (import transformers.models.gemma3.modular_gemma3)", "sortText": "202"}, {"additionalTextEdits": [{"newText": ", Gemma3TextForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Gemma3TextForSequenceClassification", "kind": 7, "label": "Gemma3TextForSequenceClassification (import transformers)", "sortText": "203"}, {"additionalTextEdits": [{"newText": "from transformers.models.gemma3.modular_gemma3 import Gemma3TextForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Gemma3TextForSequenceClassification", "kind": 7, "label": "Gemma3TextForSequenceClassification (import transformers.models.gemma3.modular_gemma3)", "sortText": "204"}, {"additionalTextEdits": [{"newText": ", GemmaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GemmaForSequenceClassification", "kind": 7, "label": "GemmaForSequenceClassification (import transformers)", "sortText": "205"}, {"additionalTextEdits": [{"newText": "from transformers.models.gemma.modular_gemma import GemmaForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GemmaForSequenceClassification", "kind": 7, "label": "GemmaForSequenceClassification (import transformers.models.gemma.modular_gemma)", "sortText": "206"}, {"additionalTextEdits": [{"newText": ", GemmaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GemmaForTokenClassification", "kind": 7, "label": "GemmaForTokenClassification (import transformers)", "sortText": "207"}, {"additionalTextEdits": [{"newText": "from transformers.models.gemma.modular_gemma import GemmaForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GemmaForTokenClassification", "kind": 7, "label": "GemmaForTokenClassification (import transformers.models.gemma.modular_gemma)", "sortText": "208"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_layers import GenericForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GenericForSequenceClassification", "kind": 7, "label": "GenericForSequenceClassification (import transformers.modeling_layers)", "sortText": "209"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_layers import GenericForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GenericForTokenClassification", "kind": 7, "label": "GenericForTokenClassification (import transformers.modeling_layers)", "sortText": "210"}, {"additionalTextEdits": [{"newText": ", Glm4ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Glm4ForSequenceClassification", "kind": 7, "label": "Glm4ForSequenceClassification (import transformers)", "sortText": "211"}, {"additionalTextEdits": [{"newText": "from transformers.models.glm4.modular_glm4 import Glm4ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Glm4ForSequenceClassification", "kind": 7, "label": "Glm4ForSequenceClassification (import transformers.models.glm4.modular_glm4)", "sortText": "212"}, {"additionalTextEdits": [{"newText": ", Glm4ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Glm4ForTokenClassification", "kind": 7, "label": "Glm4ForTokenClassification (import transformers)", "sortText": "213"}, {"additionalTextEdits": [{"newText": "from transformers.models.glm4.modular_glm4 import Glm4ForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Glm4ForTokenClassification", "kind": 7, "label": "Glm4ForTokenClassification (import transformers.models.glm4.modular_glm4)", "sortText": "214"}, {"additionalTextEdits": [{"newText": ", GlmForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GlmForSequenceClassification", "kind": 7, "label": "GlmForSequenceClassification (import transformers)", "sortText": "215"}, {"additionalTextEdits": [{"newText": "from transformers.models.glm.modular_glm import GlmForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GlmForSequenceClassification", "kind": 7, "label": "GlmForSequenceClassification (import transformers.models.glm.modular_glm)", "sortText": "216"}, {"additionalTextEdits": [{"newText": ", GlmForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GlmForTokenClassification", "kind": 7, "label": "GlmForTokenClassification (import transformers)", "sortText": "217"}, {"additionalTextEdits": [{"newText": "from transformers.models.glm.modular_glm import GlmForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GlmForTokenClassification", "kind": 7, "label": "GlmForTokenClassification (import transformers.models.glm.modular_glm)", "sortText": "218"}, {"additionalTextEdits": [{"newText": ", GptOssForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GptOssForSequenceClassification", "kind": 7, "label": "GptOssForSequenceClassification (import transformers)", "sortText": "219"}, {"additionalTextEdits": [{"newText": "from transformers.models.gpt_oss.modular_gpt_oss import GptOssForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GptOssForSequenceClassification", "kind": 7, "label": "GptOssForSequenceClassification (import transformers.models.gpt_oss.modular_gpt_oss)", "sortText": "220"}, {"additionalTextEdits": [{"newText": ", GptOssForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GptOssForTokenClassification", "kind": 7, "label": "GptOssForTokenClassification (import transformers)", "sortText": "221"}, {"additionalTextEdits": [{"newText": "from transformers.models.gpt_oss.modular_gpt_oss import GptOssForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GptOssForTokenClassification", "kind": 7, "label": "GptOssForTokenClassification (import transformers.models.gpt_oss.modular_gpt_oss)", "sortText": "222"}, {"additionalTextEdits": [{"newText": ", GraphormerForGraphClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GraphormerForGraphClassification", "kind": 7, "label": "GraphormerForGraphClassification (import transformers)", "sortText": "223"}, {"additionalTextEdits": [{"newText": "from transformers.utils.fx import HFProxyableClassMeta\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HFProxyableClassMeta", "kind": 7, "label": "HFProxyableClassMeta (import transformers.utils.fx)", "sortText": "224"}, {"additionalTextEdits": [{"newText": ", HGNetV2ForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HGNetV2ForImageClassification", "kind": 7, "label": "HGNetV2ForImageClassification (import transformers)", "sortText": "225"}, {"additionalTextEdits": [{"newText": "from transformers.models.hgnet_v2.modular_hgnet_v2 import HGNetV2ForImageClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HGNetV2ForImageClassification", "kind": 7, "label": "HGNetV2ForImageClassification (import transformers.models.hgnet_v2.modular_hgnet_v2)", "sortText": "226"}, {"additionalTextEdits": [{"newText": "from subprocess import HIGH_PRIORITY_CLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HIGH_PRIORITY_CLASS", "kind": 21, "label": "HIGH_PRIORITY_CLASS (import subprocess)", "sortText": "227"}, {"additionalTextEdits": [{"newText": "from winreg import HKEY_CLASSES_ROOT\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HKEY_CLASSES_ROOT", "kind": 21, "label": "HKEY_CLASSES_ROOT (import winreg)", "sortText": "228"}, {"additionalTextEdits": [{"newText": ", HeliumForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HeliumForSequenceClassification", "kind": 7, "label": "HeliumForSequenceClassification (import transformers)", "sortText": "229"}, {"additionalTextEdits": [{"newText": "from transformers.models.helium.modular_helium import HeliumForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HeliumForSequenceClassification", "kind": 7, "label": "HeliumForSequenceClassification (import transformers.models.helium.modular_helium)", "sortText": "230"}, {"additionalTextEdits": [{"newText": ", HeliumForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HeliumForTokenClassification", "kind": 7, "label": "HeliumForTokenClassification (import transformers)", "sortText": "231"}, {"additionalTextEdits": [{"newText": "from transformers.models.helium.modular_helium import HeliumForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HeliumForTokenClassification", "kind": 7, "label": "HeliumForTokenClassification (import transformers.models.helium.modular_helium)", "sortText": "232"}, {"additionalTextEdits": [{"newText": ", HieraForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HieraForImageClassification", "kind": 7, "label": "HieraForImageClassification (import transformers)", "sortText": "233"}, {"additionalTextEdits": [{"newText": ", HubertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HubertForSequenceClassification", "kind": 7, "label": "HubertForSequenceClassification (import transformers)", "sortText": "234"}, {"additionalTextEdits": [{"newText": "from transformers.models.hubert.modular_hubert import HubertForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HubertForSequenceClassification", "kind": 7, "label": "HubertForSequenceClassification (import transformers.models.hubert.modular_hubert)", "sortText": "235"}, {"additionalTextEdits": [{"newText": ", HunYuanDenseV1ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HunYuanDenseV1ForSequenceClassification", "kind": 7, "label": "HunYuanDenseV1ForSequenceClassification (import transformers)", "sortText": "236"}, {"additionalTextEdits": [{"newText": "from transformers.models.hunyuan_v1_dense.modular_hunyuan_v1_dense import HunYuanDenseV1ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HunYuanDenseV1ForSequenceClassification", "kind": 7, "label": "HunYuanDenseV1ForSequenceClassification (import transformers.models.hunyuan_v1_dense.modular_hunyuan_v1_dense)", "sortText": "237"}, {"additionalTextEdits": [{"newText": "from transformers.models.hunyuan_v1_moe.modeling_hunyuan_v1_moe import HunYuanMoEV1ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HunYuanMoEV1ForSequenceClassification", "kind": 7, "label": "HunYuanMoEV1ForSequenceClassification (import transformers.models.hunyuan_v1_moe.modeling_hunyuan_v1_moe)", "sortText": "238"}, {"additionalTextEdits": [{"newText": "from transformers.models.hunyuan_v1_moe.modular_hunyuan_v1_moe import HunYuanMoEV1ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HunYuanMoEV1ForSequenceClassification", "kind": 7, "label": "HunYuanMoEV1ForSequenceClassification (import transformers.models.hunyuan_v1_moe.modular_hunyuan_v1_moe)", "sortText": "239"}, {"additionalTextEdits": [{"newText": ", IBertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "IBertForSequenceClassification", "kind": 7, "label": "IBertForSequenceClassification (import transformers)", "sortText": "240"}, {"additionalTextEdits": [{"newText": ", IBertForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "IBertForTokenClassification", "kind": 7, "label": "IBertForTokenClassification (import transformers)", "sortText": "241"}, {"additionalTextEdits": [{"newText": "from subprocess import IDLE_PRIORITY_CLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "IDLE_PRIORITY_CLASS", "kind": 21, "label": "IDLE_PRIORITY_CLASS (import subprocess)", "sortText": "242"}, {"additionalTextEdits": [{"newText": ", IJepaForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "IJepaForImageClassification", "kind": 7, "label": "IJepaForImageClassification (import transformers)", "sortText": "243"}, {"additionalTextEdits": [{"newText": "from transformers.models.ijepa.modular_ijepa import IJepaForImageClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "IJepaForImageClassification", "kind": 7, "label": "IJepaForImageClassification (import transformers.models.ijepa.modular_ijepa)", "sortText": "244"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import IMAGE_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "IMAGE_CLASSIFICATION_SAMPLE", "kind": 21, "label": "IMAGE_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "245"}, {"additionalTextEdits": [{"newText": "from socket import IPV6_RECVTCLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "IPV6_RECVTCLASS", "kind": 6, "label": "IPV6_RECVTCLASS (import socket)", "sortText": "246"}, {"additionalTextEdits": [{"newText": "from socket import IPV6_TCLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "IPV6_TCLASS", "kind": 6, "label": "IPV6_TCLASS (import socket)", "sortText": "247"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ImageClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassificationInput", "kind": 6, "label": "ImageClassificationInput (import huggingface_hub)", "sortText": "248"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ImageClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassificationOutputElement", "kind": 6, "label": "ImageClassificationOutputElement (import huggingface_hub)", "sortText": "249"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ImageClassificationOutputTransform\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassificationOutputTransform", "kind": 6, "label": "ImageClassificationOutputTransform (import huggingface_hub)", "sortText": "250"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ImageClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassificationParameters", "kind": 6, "label": "ImageClassificationParameters (import huggingface_hub)", "sortText": "251"}, {"additionalTextEdits": [{"newText": ", ImageClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ImageClassificationPipeline", "kind": 6, "label": "ImageClassificationPipeline (import transformers)", "sortText": "252"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.image_classification import ImageClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassificationPipeline", "kind": 7, "label": "ImageClassificationPipeline (import transformers.pipelines.image_classification)", "sortText": "253"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_outputs import ImageClassifierOutput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassifierOutput", "kind": 7, "label": "ImageClassifierOutput (import transformers.modeling_outputs)", "sortText": "254"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_outputs import ImageClassifierOutputWithNoAttention\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassifierOutputWithNoAttention", "kind": 7, "label": "ImageClassifierOutputWithNoAttention (import transformers.modeling_outputs)", "sortText": "255"}, {"additionalTextEdits": [{"newText": ", ImageGPTForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ImageGPTForImageClassification", "kind": 7, "label": "ImageGPTForImageClassification (import transformers)", "sortText": "256"}, {"additionalTextEdits": [{"newText": "from transformers.data.data_collator import InputDataClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "InputDataClass", "kind": 6, "label": "InputDataClass (import transformers.data.data_collator)", "sortText": "257"}, {"additionalTextEdits": [{"newText": ", JambaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "JambaForSequenceClassification", "kind": 7, "label": "JambaForSequenceClassification (import transformers)", "sortText": "258"}, {"additionalTextEdits": [{"newText": ", JetMoeForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "JetMoeForSequenceClassification", "kind": 7, "label": "JetMoeForSequenceClassification (import transformers)", "sortText": "259"}, 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1}}}], "insertText": "MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING (import transformers)", "sortText": "288"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING (import transformers)", "sortText": "289"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING (import transformers)", "sortText": "290"}, {"additionalTextEdits": [{"newText": ", MPNetForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": 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"MT5ForTokenClassification (import transformers)", "sortText": "294"}, {"additionalTextEdits": [{"newText": ", MarkupLMForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MarkupLMForSequenceClassification", "kind": 7, "label": "MarkupLMForSequenceClassification (import transformers)", "sortText": "295"}, {"additionalTextEdits": [{"newText": ", MarkupLMForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MarkupLMForTokenClassification", "kind": 7, "label": "MarkupLMForTokenClassification (import transformers)", "sortText": "296"}, {"additionalTextEdits": [{"newText": "from ast import MatchClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "MatchClass", "kind": 7, "label": "MatchClass (import ast)", "sortText": "297"}, {"additionalTextEdits": [{"newText": ", MegaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MegaForSequenceClassification", "kind": 7, "label": "MegaForSequenceClassification (import transformers)", "sortText": "298"}, {"additionalTextEdits": [{"newText": ", MegaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MegaForTokenClassification", "kind": 7, "label": "MegaForTokenClassification (import transformers)", "sortText": "299"}, {"additionalTextEdits": [{"newText": ", MegatronBertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MegatronBertForSequenceClassification", "kind": 7, "label": "MegatronBertForSequenceClassification (import transformers)", "sortText": "300"}, {"additionalTextEdits": [{"newText": ", MegatronBertForTokenClassification", "range": {"end": {"character": 33, 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{"additionalTextEdits": [{"newText": ", MiniMaxForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MiniMaxForSequenceClassification", "kind": 7, "label": "MiniMaxForSequenceClassification (import transformers)", "sortText": "304"}, {"additionalTextEdits": [{"newText": "from transformers.models.minimax.modular_minimax import MiniMaxForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "MiniMaxForSequenceClassification", "kind": 7, "label": "MiniMaxForSequenceClassification (import transformers.models.minimax.modular_minimax)", "sortText": "305"}, {"additionalTextEdits": [{"newText": ", MiniMaxForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MiniMaxForTokenClassification", "kind": 7, "label": "MiniMaxForTokenClassification (import transformers)", 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"sortText": "537"}, {"additionalTextEdits": [{"newText": ", TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING", "kind": 21, "label": "TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING (import transformers)", "sortText": "538"}, {"additionalTextEdits": [{"newText": ", TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING", "kind": 21, "label": "TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING (import transformers)", "sortText": "539"}, {"additionalTextEdits": [{"newText": ", TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING", "kind": 21, "label": 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"insertText": "TF_SEQUENCE_CLASSIFICATION_SAMPLE", "kind": 21, "label": "TF_SEQUENCE_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "543"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import TF_TOKEN_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TF_TOKEN_CLASSIFICATION_SAMPLE", "kind": 21, "label": "TF_TOKEN_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "544"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import TF_VISION_SEQ_CLASS_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TF_VISION_SEQ_CLASS_SAMPLE", "kind": 21, "label": "TF_VISION_SEQ_CLASS_SAMPLE (import transformers.utils.doc)", "sortText": "545"}, {"additionalTextEdits": [{"newText": "from transformers.convert_slow_tokenizers_checkpoints_to_fast import TOKENIZER_CLASSES\n", "range": {"end": 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1}, "start": {"character": 33, "line": 1}}}], "insertText": "TextNetForImageClassification", "kind": 7, "label": "TextNetForImageClassification (import transformers)", "sortText": "555"}, {"additionalTextEdits": [{"newText": ", TimesformerForVideoClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TimesformerForVideoClassification", "kind": 7, "label": "TimesformerForVideoClassification (import transformers)", "sortText": "556"}, {"additionalTextEdits": [{"newText": ", TimmWrapperForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TimmWrapperForImageClassification", "kind": 7, "label": "TimmWrapperForImageClassification (import transformers)", "sortText": "557"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TokenClassificationAggregationStrategy\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassificationAggregationStrategy", "kind": 6, "label": "TokenClassificationAggregationStrategy (import huggingface_hub)", "sortText": "558"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.token_classification import TokenClassificationArgumentHandler\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassificationArgumentHandler", "kind": 7, "label": "TokenClassificationArgumentHandler (import transformers.pipelines.token_classification)", "sortText": "559"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TokenClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassificationInput", "kind": 6, "label": "TokenClassificationInput (import huggingface_hub)", "sortText": "560"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TokenClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassificationOutputElement", "kind": 6, "label": "TokenClassificationOutputElement (import huggingface_hub)", "sortText": "561"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TokenClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassificationParameters", "kind": 6, "label": "TokenClassificationParameters (import huggingface_hub)", "sortText": "562"}, {"additionalTextEdits": [{"newText": ", TokenClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TokenClassificationPipeline", "kind": 6, "label": "TokenClassificationPipeline (import transformers)", "sortText": "563"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.token_classification import TokenClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassificationPipeline", "kind": 7, "label": "TokenClassificationPipeline (import transformers.pipelines.token_classification)", "sortText": "564"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_outputs import TokenClassifierOutput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassifierOutput", "kind": 7, "label": "TokenClassifierOutput (import transformers.modeling_outputs)", "sortText": "565"}, {"additionalTextEdits": [{"newText": ", TransfoXLForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TransfoXLForSequenceClassification", "kind": 7, "label": "TransfoXLForSequenceClassification (import transformers)", "sortText": "566"}, {"additionalTextEdits": [{"newText": ", TvltForAudioVisualClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TvltForAudioVisualClassification", "kind": 7, "label": "TvltForAudioVisualClassification (import transformers)", "sortText": "567"}, {"additionalTextEdits": [{"newText": ", UMT5ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "UMT5ForSequenceClassification", "kind": 7, "label": "UMT5ForSequenceClassification (import transformers)", "sortText": "568"}, {"additionalTextEdits": [{"newText": ", UMT5ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "UMT5ForTokenClassification", "kind": 7, "label": "UMT5ForTokenClassification (import transformers)", "sortText": "569"}, {"additionalTextEdits": [{"newText": "from transformers.utils.auto_docstring import UNROLL_KWARGS_CLASSES\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "UNROLL_KWARGS_CLASSES", "kind": 21, "label": "UNROLL_KWARGS_CLASSES (import transformers.utils.auto_docstring)", "sortText": "570"}, {"additionalTextEdits": [{"newText": ", UnbatchedClassifierFreeGuidanceLogitsProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "UnbatchedClassifierFreeGuidanceLogitsProcessor", "kind": 6, "label": "UnbatchedClassifierFreeGuidanceLogitsProcessor (import transformers)", "sortText": "571"}, {"additionalTextEdits": [{"newText": "from transformers.generation.logits_process import UnbatchedClassifierFreeGuidanceLogitsProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "UnbatchedClassifierFreeGuidanceLogitsProcessor", "kind": 7, "label": "UnbatchedClassifierFreeGuidanceLogitsProcessor (import transformers.generation.logits_process)", "sortText": "572"}, {"additionalTextEdits": [{"newText": "from transformers.utils.dummy_pt_objects import UnbatchedClassifierFreeGuidanceLogitsProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "UnbatchedClassifierFreeGuidanceLogitsProcessor", "kind": 7, "label": "UnbatchedClassifierFreeGuidanceLogitsProcessor (import transformers.utils.dummy_pt_objects)", "sortText": "573"}, {"additionalTextEdits": [{"newText": ", UniSpeechForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "UniSpeechForSequenceClassification", "kind": 7, "label": "UniSpeechForSequenceClassification (import transformers)", "sortText": "574"}, {"additionalTextEdits": [{"newText": "from transformers.models.unispeech.modular_unispeech import UniSpeechForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "UniSpeechForSequenceClassification", "kind": 7, "label": "UniSpeechForSequenceClassification (import transformers.models.unispeech.modular_unispeech)", "sortText": "575"}, {"additionalTextEdits": [{"newText": ", UniSpeechSatForAudioFrameClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "UniSpeechSatForAudioFrameClassification", "kind": 7, "label": "UniSpeechSatForAudioFrameClassification (import transformers)", "sortText": "576"}, {"additionalTextEdits": [{"newText": "from transformers.models.unispeech_sat.modular_unispeech_sat import UniSpeechSatForAudioFrameClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "UniSpeechSatForAudioFrameClassification", "kind": 7, "label": "UniSpeechSatForAudioFrameClassification (import transformers.models.unispeech_sat.modular_unispeech_sat)", "sortText": "577"}, {"additionalTextEdits": [{"newText": ", UniSpeechSatForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "UniSpeechSatForSequenceClassification", "kind": 7, "label": "UniSpeechSatForSequenceClassification (import transformers)", "sortText": "578"}, {"additionalTextEdits": [{"newText": "from transformers.models.unispeech_sat.modular_unispeech_sat import UniSpeechSatForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "UniSpeechSatForSequenceClassification", "kind": 7, "label": "UniSpeechSatForSequenceClassification (import transformers.models.unispeech_sat.modular_unispeech_sat)", "sortText": "579"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import VIDEO_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "VIDEO_CLASSIFICATION_SAMPLE", "kind": 21, "label": "VIDEO_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "580"}, {"additionalTextEdits": [{"newText": ", VJEPA2ForVideoClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "VJEPA2ForVideoClassification", "kind": 7, "label": "VJEPA2ForVideoClassification (import transformers)", "sortText": "581"}, {"additionalTextEdits": [{"newText": ", VanForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "VanForImageClassification", "kind": 7, "label": "VanForImageClassification (import transformers)", "sortText": "582"}, {"additionalTextEdits": [{"newText": ", ViTForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ViTForImageClassification", "kind": 7, "label": "ViTForImageClassification (import transformers)", "sortText": "583"}, {"additionalTextEdits": [{"newText": ", ViTHybridForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ViTHybridForImageClassification", "kind": 7, "label": "ViTHybridForImageClassification (import transformers)", "sortText": "584"}, {"additionalTextEdits": [{"newText": ", ViTMSNForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ViTMSNForImageClassification", "kind": 7, "label": "ViTMSNForImageClassification (import transformers)", "sortText": "585"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import VideoClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "VideoClassificationInput", "kind": 6, "label": "VideoClassificationInput (import huggingface_hub)", "sortText": "586"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import VideoClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "VideoClassificationOutputElement", "kind": 6, "label": "VideoClassificationOutputElement (import huggingface_hub)", "sortText": "587"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import VideoClassificationOutputTransform\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "VideoClassificationOutputTransform", "kind": 6, "label": "VideoClassificationOutputTransform (import huggingface_hub)", "sortText": "588"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import VideoClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "VideoClassificationParameters", "kind": 6, "label": "VideoClassificationParameters (import huggingface_hub)", "sortText": "589"}, {"additionalTextEdits": [{"newText": ", VideoClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "VideoClassificationPipeline", "kind": 6, "label": "VideoClassificationPipeline (import transformers)", "sortText": "590"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.video_classification import VideoClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "VideoClassificationPipeline", "kind": 7, "label": "VideoClassificationPipeline (import transformers.pipelines.video_classification)", "sortText": "591"}, {"additionalTextEdits": [{"newText": ", VideoMAEForVideoClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "VideoMAEForVideoClassification", "kind": 7, "label": "VideoMAEForVideoClassification (import transformers)", "sortText": "592"}, {"additionalTextEdits": [{"newText": ", ViltForImagesAndTextClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ViltForImagesAndTextClassification", "kind": 7, "label": "ViltForImagesAndTextClassification (import transformers)", "sortText": "593"}, {"additionalTextEdits": [{"newText": ", ViltForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ViltForTokenClassification", "kind": 7, "label": "ViltForTokenClassification (import transformers)", "sortText": "594"}, {"additionalTextEdits": [{"newText": ", VivitForVideoClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "VivitForVideoClassification", "kind": 7, "label": "VivitForVideoClassification (import transformers)", "sortText": "595"}, {"additionalTextEdits": [{"newText": ", Wav2Vec2BertForAudioFrameClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Wav2Vec2BertForAudioFrameClassification", "kind": 7, "label": "Wav2Vec2BertForAudioFrameClassification (import transformers)", "sortText": "596"}, {"additionalTextEdits": [{"newText": "from transformers.models.wav2vec2_bert.modular_wav2vec2_bert import Wav2Vec2BertForAudioFrameClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Wav2Vec2BertForAudioFrameClassification", "kind": 7, "label": "Wav2Vec2BertForAudioFrameClassification (import transformers.models.wav2vec2_bert.modular_wav2vec2_bert)", "sortText": "597"}, {"additionalTextEdits": [{"newText": ", Wav2Vec2BertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Wav2Vec2BertForSequenceClassification", "kind": 7, "label": "Wav2Vec2BertForSequenceClassification (import transformers)", "sortText": "598"}, {"additionalTextEdits": [{"newText": "from transformers.models.wav2vec2_bert.modular_wav2vec2_bert import Wav2Vec2BertForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Wav2Vec2BertForSequenceClassification", "kind": 7, "label": "Wav2Vec2BertForSequenceClassification (import transformers.models.wav2vec2_bert.modular_wav2vec2_bert)", "sortText": "599"}, {"additionalTextEdits": [{"newText": ", Wav2Vec2ConformerForAudioFrameClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Wav2Vec2ConformerForAudioFrameClassification", "kind": 7, "label": "Wav2Vec2ConformerForAudioFrameClassification (import transformers)", "sortText": "600"}, {"additionalTextEdits": [{"newText": "from transformers.models.wav2vec2_conformer.modular_wav2vec2_conformer import Wav2Vec2ConformerForAudioFrameClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Wav2Vec2ConformerForAudioFrameClassification", "kind": 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[{"newText": ", Wav2Vec2ForAudioFrameClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Wav2Vec2ForAudioFrameClassification", "kind": 7, "label": "Wav2Vec2ForAudioFrameClassification (import transformers)", "sortText": "604"}, {"additionalTextEdits": [{"newText": ", Wav2Vec2ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Wav2Vec2ForSequenceClassification", "kind": 7, "label": "Wav2Vec2ForSequenceClassification (import transformers)", "sortText": "605"}, {"additionalTextEdits": [{"newText": ", WavLMForAudioFrameClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "WavLMForAudioFrameClassification", "kind": 7, "label": "WavLMForAudioFrameClassification (import transformers)", "sortText": "606"}, {"additionalTextEdits": [{"newText": "from transformers.models.wavlm.modular_wavlm import WavLMForAudioFrameClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "WavLMForAudioFrameClassification", "kind": 7, "label": "WavLMForAudioFrameClassification (import transformers.models.wavlm.modular_wavlm)", "sortText": "607"}, {"additionalTextEdits": [{"newText": ", WavLMForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "WavLMForSequenceClassification", "kind": 7, "label": "WavLMForSequenceClassification (import transformers)", "sortText": "608"}, {"additionalTextEdits": [{"newText": "from transformers.models.wavlm.modular_wavlm import WavLMForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "WavLMForSequenceClassification", "kind": 7, "label": "WavLMForSequenceClassification (import 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XLMRobertaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLMRobertaForSequenceClassification", "kind": 7, "label": "XLMRobertaForSequenceClassification (import transformers)", "sortText": "613"}, {"additionalTextEdits": [{"newText": ", XLMRobertaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLMRobertaForTokenClassification", "kind": 7, "label": "XLMRobertaForTokenClassification (import transformers)", "sortText": "614"}, {"additionalTextEdits": [{"newText": ", XLMRobertaXLForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLMRobertaXLForSequenceClassification", "kind": 7, "label": "XLMRobertaXLForSequenceClassification (import transformers)", "sortText": "615"}, {"additionalTextEdits": [{"newText": ", XLMRobertaXLForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLMRobertaXLForTokenClassification", "kind": 7, "label": "XLMRobertaXLForTokenClassification (import transformers)", "sortText": "616"}, {"additionalTextEdits": [{"newText": ", XLNetForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLNetForSequenceClassification", "kind": 7, "label": "XLNetForSequenceClassification (import transformers)", "sortText": "617"}, {"additionalTextEdits": [{"newText": ", XLNetForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLNetForTokenClassification", "kind": 7, "label": "XLNetForTokenClassification (import transformers)", "sortText": "618"}, {"additionalTextEdits": [{"newText": ", XmodForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XmodForSequenceClassification", "kind": 7, "label": "XmodForSequenceClassification (import transformers)", "sortText": "619"}, {"additionalTextEdits": [{"newText": ", XmodForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XmodForTokenClassification", "kind": 7, "label": "XmodForTokenClassification (import transformers)", "sortText": "620"}, {"additionalTextEdits": [{"newText": "from yaml import YAMLObjectMetaclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "YAMLObjectMetaclass", "kind": 7, "label": "YAMLObjectMetaclass (import yaml)", "sortText": "621"}, {"additionalTextEdits": [{"newText": ", YosoForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "YosoForSequenceClassification", "kind": 7, "label": "YosoForSequenceClassification (import transformers)", "sortText": "622"}, {"additionalTextEdits": [{"newText": ", YosoForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "YosoForTokenClassification", "kind": 7, "label": "YosoForTokenClassification (import transformers)", "sortText": "623"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import ZERO_SHOT_IMAGE_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZERO_SHOT_IMAGE_CLASSIFICATION_SAMPLE", "kind": 21, "label": "ZERO_SHOT_IMAGE_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "624"}, {"additionalTextEdits": [{"newText": ", Zamba2ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Zamba2ForSequenceClassification", "kind": 7, "label": "Zamba2ForSequenceClassification (import transformers)", "sortText": "625"}, {"additionalTextEdits": [{"newText": "from transformers.models.zamba2.modular_zamba2 import Zamba2ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Zamba2ForSequenceClassification", "kind": 7, "label": "Zamba2ForSequenceClassification (import transformers.models.zamba2.modular_zamba2)", "sortText": "626"}, {"additionalTextEdits": [{"newText": ", ZambaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ZambaForSequenceClassification", "kind": 7, "label": "ZambaForSequenceClassification (import transformers)", "sortText": "627"}, {"additionalTextEdits": [{"newText": ", ZeroShotAudioClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ZeroShotAudioClassificationPipeline", "kind": 6, "label": "ZeroShotAudioClassificationPipeline (import transformers)", "sortText": "628"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.zero_shot_audio_classification import ZeroShotAudioClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotAudioClassificationPipeline", "kind": 7, "label": "ZeroShotAudioClassificationPipeline (import transformers.pipelines.zero_shot_audio_classification)", "sortText": "629"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.zero_shot_classification import ZeroShotClassificationArgumentHandler\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotClassificationArgumentHandler", "kind": 7, "label": "ZeroShotClassificationArgumentHandler (import transformers.pipelines.zero_shot_classification)", "sortText": "630"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotClassificationInput", "kind": 6, "label": "ZeroShotClassificationInput (import huggingface_hub)", "sortText": "631"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotClassificationOutputElement", "kind": 6, "label": "ZeroShotClassificationOutputElement (import huggingface_hub)", "sortText": "632"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotClassificationParameters", "kind": 6, "label": "ZeroShotClassificationParameters (import huggingface_hub)", "sortText": "633"}, {"additionalTextEdits": [{"newText": ", ZeroShotClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ZeroShotClassificationPipeline", "kind": 6, "label": "ZeroShotClassificationPipeline (import transformers)", "sortText": "634"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.zero_shot_classification import ZeroShotClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotClassificationPipeline", "kind": 7, "label": "ZeroShotClassificationPipeline (import transformers.pipelines.zero_shot_classification)", "sortText": "635"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotImageClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotImageClassificationInput", "kind": 6, "label": "ZeroShotImageClassificationInput (import huggingface_hub)", "sortText": "636"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotImageClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotImageClassificationOutputElement", "kind": 6, "label": "ZeroShotImageClassificationOutputElement (import huggingface_hub)", "sortText": "637"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotImageClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotImageClassificationParameters", "kind": 6, "label": "ZeroShotImageClassificationParameters (import huggingface_hub)", "sortText": "638"}, {"additionalTextEdits": [{"newText": ", ZeroShotImageClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ZeroShotImageClassificationPipeline", "kind": 6, "label": "ZeroShotImageClassificationPipeline (import transformers)", "sortText": "639"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.zero_shot_image_classification import ZeroShotImageClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotImageClassificationPipeline", "kind": 7, "label": "ZeroShotImageClassificationPipeline (import transformers.pipelines.zero_shot_image_classification)", "sortText": "640"}, {"additionalTextEdits": [{"newText": "from transformers.utils.auto_docstring import auto_class_docstring\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "auto_class_docstring", "kind": 3, "label": "auto_class_docstring (import transformers.utils.auto_docstring)", "sortText": "641"}, {"additionalTextEdits": [{"newText": "from idna.idnadata import codepoint_classes\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "codepoint_classes", "kind": 6, "label": "codepoint_classes (import idna.idnadata)", "sortText": "642"}, {"additionalTextEdits": [{"newText": "from dataclasses import dataclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "dataclass", "kind": 3, "label": "dataclass (import dataclasses)", "sortText": "643"}, {"additionalTextEdits": [{"newText": "from typing_extensions import dataclass_transform\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "dataclass_transform", "kind": 3, "label": "dataclass_transform (import typing_extensions)", "sortText": "644"}, {"additionalTextEdits": [{"newText": "from logging.config import dictConfigClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "dictConfigClass", "kind": 6, "label": "dictConfigClass (import logging.config)", "sortText": "645"}, {"additionalTextEdits": [{"newText": "from transformers.commands.add_new_model_like import find_all_classes_from_file\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "find_all_classes_from_file", "kind": 3, "label": "find_all_classes_from_file (import transformers.commands.add_new_model_like)", "sortText": "646"}, {"additionalTextEdits": [{"newText": "from logging import getLoggerClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "getLoggerClass", "kind": 3, "label": "getLoggerClass (import logging)", "sortText": "647"}, {"additionalTextEdits": [{"newText": "from transformers.utils.auto_docstring import get_checkpoint_from_config_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "get_checkpoint_from_config_class", "kind": 3, "label": "get_checkpoint_from_config_class (import transformers.utils.auto_docstring)", "sortText": "648"}, {"additionalTextEdits": [{"newText": "from transformers.dynamic_module_utils import get_class_from_dynamic_module\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "get_class_from_dynamic_module", "kind": 3, "label": "get_class_from_dynamic_module (import transformers.dynamic_module_utils)", "sortText": "649"}, {"additionalTextEdits": [{"newText": "from transformers.dynamic_module_utils import get_class_in_module\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "get_class_in_module", "kind": 3, "label": "get_class_in_module (import transformers.dynamic_module_utils)", "sortText": "650"}, {"additionalTextEdits": [{"newText": "from fsspec import get_filesystem_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "get_filesystem_class", "kind": 3, "label": "get_filesystem_class (import fsspec)", "sortText": "651"}, {"additionalTextEdits": [{"newText": "from transformers.trainer_pt_utils import get_module_class_from_name\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "get_module_class_from_name", "kind": 3, "label": "get_module_class_from_name (import transformers.trainer_pt_utils)", "sortText": "652"}, {"additionalTextEdits": [{"newText": "from inspect import getclasstree\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "getclasstree", "kind": 3, "label": "getclasstree (import inspect)", "sortText": "653"}, {"additionalTextEdits": [{"newText": "from lib2to3.fixes.fix_metaclass import has_metaclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "has_metaclass", "kind": 3, "label": "has_metaclass (import lib2to3.fixes.fix_metaclass)", "sortText": "654"}, {"additionalTextEdits": [{"newText": "import huggingface_hub.dataclasses\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "huggingface_hub.dataclasses", "kind": 9, "label": "huggingface_hub.dataclasses (import huggingface_hub.dataclasses)", "sortText": "655"}, {"additionalTextEdits": [{"newText": "from dataclasses import is_dataclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "is_dataclass", "kind": 3, "label": "is_dataclass (import dataclasses)", "sortText": "656"}, {"additionalTextEdits": [{"newText": "from inspect import isclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "isclass", "kind": 3, "label": "isclass (import inspect)", "sortText": "657"}, {"additionalTextEdits": [{"newText": "import lib2to3.fixes.fix_metaclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "lib2to3.fixes.fix_metaclass", "kind": 9, "label": "lib2to3.fixes.fix_metaclass (import lib2to3.fixes.fix_metaclass)", "sortText": "658"}, {"additionalTextEdits": [{"newText": "from dataclasses import make_dataclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "make_dataclass", "kind": 3, "label": "make_dataclass (import dataclasses)", "sortText": "659"}, {"additionalTextEdits": [{"newText": "from types import new_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "new_class", "kind": 3, "label": "new_class (import types)", "sortText": "660"}, {"additionalTextEdits": [{"newText": "from types import prepare_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "prepare_class", "kind": 3, "label": "prepare_class (import types)", "sortText": "661"}, {"additionalTextEdits": [{"newText": "from logging import setLoggerClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "setLoggerClass", "kind": 3, "label": "setLoggerClass (import logging)", "sortText": "662"}, {"additionalTextEdits": [{"newText": "from unittest.util import strclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "strclass", "kind": 3, "label": "strclass (import unittest.util)", "sortText": "663"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.audio_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.audio_classification", "kind": 9, "label": "transformers.pipelines.audio_classification (import transformers.pipelines.audio_classification)", "sortText": "664"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.image_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.image_classification", "kind": 9, "label": "transformers.pipelines.image_classification (import transformers.pipelines.image_classification)", "sortText": "665"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.text_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.text_classification", "kind": 9, "label": "transformers.pipelines.text_classification (import transformers.pipelines.text_classification)", "sortText": "666"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.token_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.token_classification", "kind": 9, "label": "transformers.pipelines.token_classification (import transformers.pipelines.token_classification)", "sortText": "667"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.video_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.video_classification", "kind": 9, "label": "transformers.pipelines.video_classification (import transformers.pipelines.video_classification)", "sortText": "668"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.zero_shot_audio_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.zero_shot_audio_classification", "kind": 9, "label": "transformers.pipelines.zero_shot_audio_classification (import transformers.pipelines.zero_shot_audio_classification)", "sortText": "669"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.zero_shot_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.zero_shot_classification", "kind": 9, "label": "transformers.pipelines.zero_shot_classification (import transformers.pipelines.zero_shot_classification)", "sortText": "670"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.zero_shot_image_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.zero_shot_image_classification", "kind": 9, "label": "transformers.pipelines.zero_shot_image_classification (import transformers.pipelines.zero_shot_image_classification)", "sortText": "671"}, {"additionalTextEdits": [{"newText": "from socket import CAN_ISOTP_DEFAULT_EXT_ADDRESS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "CAN_ISOTP_DEFAULT_EXT_ADDRESS", "kind": 21, "label": "CAN_ISOTP_DEFAULT_EXT_ADDRESS (import socket)", "sortText": "672"}, {"additionalTextEdits": [{"newText": ", CLIPImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CLIPImageProcessor", "kind": 7, "label": "CLIPImageProcessor (import transformers)", "sortText": "673"}, {"additionalTextEdits": [{"newText": ", CLIPImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CLIPImageProcessorFast", "kind": 7, "label": "CLIPImageProcessorFast (import transformers)", "sortText": "674"}, {"additionalTextEdits": [{"newText": ", ChameleonImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ChameleonImageProcessor", "kind": 7, "label": "ChameleonImageProcessor (import transformers)", "sortText": "675"}, {"additionalTextEdits": [{"newText": ", ChameleonImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ChameleonImageProcessorFast", "kind": 7, "label": "ChameleonImageProcessorFast (import transformers)", "sortText": "676"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ChatCompletionInputResponseFormatJSONSchema\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ChatCompletionInputResponseFormatJSONSchema", "kind": 6, "label": "ChatCompletionInputResponseFormatJSONSchema (import huggingface_hub)", "sortText": "677"}, {"additionalTextEdits": [{"newText": ", ChineseCLIPImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ChineseCLIPImageProcessor", "kind": 7, "label": "ChineseCLIPImageProcessor (import transformers)", "sortText": "678"}, {"additionalTextEdits": [{"newText": ", ChineseCLIPImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ChineseCLIPImageProcessorFast", "kind": 7, "label": "ChineseCLIPImageProcessorFast (import transformers)", "sortText": "679"}, {"additionalTextEdits": [{"newText": ", ClapProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ClapProcessor", "kind": 7, "label": "ClapProcessor (import transformers)", "sortText": "680"}, {"additionalTextEdits": [{"newText": ", ColPaliProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ColPaliProcessor", "kind": 7, "label": "ColPaliProcessor (import transformers)", "sortText": "681"}, {"additionalTextEdits": [{"newText": "from transformers.models.colpali.modular_colpali import ColPaliProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ColPaliProcessor", "kind": 7, "label": "ColPaliProcessor (import transformers.models.colpali.modular_colpali)", "sortText": "682"}, {"additionalTextEdits": [{"newText": "from transformers.data.processors.glue import ColaProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ColaProcessor", "kind": 7, "label": "ColaProcessor (import transformers.data.processors.glue)", "sortText": "683"}, {"additionalTextEdits": [{"newText": ", ConditionalDetrImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ConditionalDetrImageProcessor", "kind": 7, "label": "ConditionalDetrImageProcessor (import transformers)", "sortText": "684"}, {"additionalTextEdits": [{"newText": ", ConditionalDetrImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ConditionalDetrImageProcessorFast", "kind": 7, "label": "ConditionalDetrImageProcessorFast (import transformers)", "sortText": "685"}, {"additionalTextEdits": [{"newText": "from transformers.models.conditional_detr.modular_conditional_detr import ConditionalDetrImageProcessorFast\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ConditionalDetrImageProcessorFast", "kind": 7, "label": "ConditionalDetrImageProcessorFast (import transformers.models.conditional_detr.modular_conditional_detr)", "sortText": "686"}, {"additionalTextEdits": [{"newText": ", DataCollatorForSeq2Seq", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DataCollatorForSeq2Seq", "kind": 7, "label": "DataCollatorForSeq2Seq (import transformers)", "sortText": "687"}, {"additionalTextEdits": [{"newText": "from transformers.tokenization_mistral_common import ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING", "kind": 21, "label": "ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING (import transformers.tokenization_mistral_common)", "sortText": "688"}, {"additionalTextEdits": [{"newText": "from transformers.tokenization_utils_base import ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING", "kind": 21, "label": "ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING (import transformers.tokenization_utils_base)", "sortText": "689"}, {"additionalTextEdits": [{"newText": ", EfficientLoFTRImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "EfficientLoFTRImageProcessor", "kind": 7, "label": "EfficientLoFTRImageProcessor (import transformers)", "sortText": "690"}, {"additionalTextEdits": [{"newText": ", EfficientLoFTRImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "EfficientLoFTRImageProcessorFast", "kind": 7, "label": "EfficientLoFTRImageProcessorFast (import transformers)", "sortText": "691"}, {"additionalTextEdits": [{"newText": "from asyncio.constants import FLOW_CONTROL_HIGH_WATER_SSL_READ\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "FLOW_CONTROL_HIGH_WATER_SSL_READ", "kind": 21, "label": "FLOW_CONTROL_HIGH_WATER_SSL_READ (import asyncio.constants)", "sortText": "692"}, {"additionalTextEdits": [{"newText": "from asyncio.constants import FLOW_CONTROL_HIGH_WATER_SSL_WRITE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "FLOW_CONTROL_HIGH_WATER_SSL_WRITE", "kind": 21, "label": "FLOW_CONTROL_HIGH_WATER_SSL_WRITE (import asyncio.constants)", "sortText": "693"}, {"additionalTextEdits": [{"newText": "from huggingface_hub.constants import HF_HUB_LOCAL_DIR_AUTO_SYMLINK_THRESHOLD\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HF_HUB_LOCAL_DIR_AUTO_SYMLINK_THRESHOLD", "kind": 21, "label": "HF_HUB_LOCAL_DIR_AUTO_SYMLINK_THRESHOLD (import huggingface_hub.constants)", "sortText": "694"}, {"additionalTextEdits": [{"newText": "from socket import HVSOCKET_ADDRESS_FLAG_PASSTHRU\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HVSOCKET_ADDRESS_FLAG_PASSTHRU", "kind": 21, "label": "HVSOCKET_ADDRESS_FLAG_PASSTHRU (import socket)", "sortText": "695"}, {"additionalTextEdits": [{"newText": ", InstructBlipVideoImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "InstructBlipVideoImageProcessor", "kind": 7, "label": "InstructBlipVideoImageProcessor (import transformers)", "sortText": "696"}, {"additionalTextEdits": [{"newText": ", LongcatFlashForCausalLM", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LongcatFlashForCausalLM", "kind": 7, "label": "LongcatFlashForCausalLM (import transformers)", "sortText": "697"}, {"additionalTextEdits": [{"newText": "from transformers.models.longcat_flash.modular_longcat_flash import LongcatFlashForCausalLM\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "LongcatFlashForCausalLM", "kind": 7, "label": "LongcatFlashForCausalLM (import transformers.models.longcat_flash.modular_longcat_flash)", "sortText": "698"}, {"additionalTextEdits": [{"newText": ", PerceptionLMImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "PerceptionLMImageProcessorFast", "kind": 7, "label": "PerceptionLMImageProcessorFast (import transformers)", "sortText": "699"}, {"additionalTextEdits": [{"newText": "from winreg import REG_NOTIFY_CHANGE_LAST_SET\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "REG_NOTIFY_CHANGE_LAST_SET", "kind": 21, "label": "REG_NOTIFY_CHANGE_LAST_SET (import winreg)", "sortText": "700"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_tf_utils import TFCausalLanguageModelingLoss\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TFCausalLanguageModelingLoss", "kind": 7, "label": "TFCausalLanguageModelingLoss (import transformers.modeling_tf_utils)", "sortText": "701"}, {"additionalTextEdits": [{"newText": "from transformers.commands.serving import TransformersCompletionCreateParamsStreaming\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TransformersCompletionCreateParamsStreaming", "kind": 7, "label": "TransformersCompletionCreateParamsStreaming (import transformers.commands.serving)", "sortText": "702"}, {"additionalTextEdits": [{"newText": "from codecs import backslashreplace_errors\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "backslashreplace_errors", "kind": 3, "label": "backslashreplace_errors (import codecs)", "sortText": "703"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import cancel_access_request\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "cancel_access_request", "kind": 6, "label": "cancel_access_request (import huggingface_hub)", "sortText": "704"}, {"additionalTextEdits": [{"newText": "from transformers.utils.import_utils import check_torch_load_is_safe\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "check_torch_load_is_safe", "kind": 3, "label": "check_torch_load_is_safe (import transformers.utils.import_utils)", "sortText": "705"}, {"additionalTextEdits": [{"newText": "from transformers.models.esm.openfold_utils.residue_constants import chi_angle_atoms_for_res\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "chi_angle_atoms_for_res", "kind": 6, "label": "chi_angle_atoms_for_res (import transformers.models.esm.openfold_utils.residue_constants)", "sortText": "706"}, {"additionalTextEdits": [{"newText": "from transformers.models.esm.openfold_utils.residue_constants import chi_angles_atom_indices_list\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "chi_angles_atom_indices_list", "kind": 6, "label": "chi_angles_atom_indices_list (import transformers.models.esm.openfold_utils.residue_constants)", "sortText": "707"}, {"additionalTextEdits": [{"newText": "from transformers.models.esm.openfold_utils.residue_constants import chi_angles_atom_indices_ours\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "chi_angles_atom_indices_ours", "kind": 6, "label": "chi_angles_atom_indices_ours (import transformers.models.esm.openfold_utils.residue_constants)", "sortText": "708"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines import clean_custom_task\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "clean_custom_task", "kind": 3, "label": "clean_custom_task (import transformers.pipelines)", "sortText": "709"}, {"additionalTextEdits": [{"newText": "from turtle import clearstamps\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "clearstamps", "kind": 3, "label": "clearstamps (import turtle)", "sortText": "710"}, {"additionalTextEdits": [{"newText": "from ipaddress import collapse_addresses\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "collapse_addresses", "kind": 3, "label": "collapse_addresses (import ipaddress)", "sortText": "711"}, {"additionalTextEdits": [{"newText": "from transformers.onnx.utils import compute_serialized_parameters_size\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "compute_serialized_parameters_size", "kind": 3, "label": "compute_serialized_parameters_size (import transformers.onnx.utils)", "sortText": "712"}, {"additionalTextEdits": [{"newText": "from transformers.integrations.tensor_parallel import convert_local_tensor_to_dtensor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "convert_local_tensor_to_dtensor", "kind": 3, "label": "convert_local_tensor_to_dtensor (import transformers.integrations.tensor_parallel)", "sortText": "713"}, {"additionalTextEdits": [{"newText": "from packaging.tags import create_compatible_tags_selector\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "create_compatible_tags_selector", "kind": 3, "label": "create_compatible_tags_selector (import packaging.tags)", "sortText": "714"}, {"additionalTextEdits": [{"newText": "from transformers.masking_utils import create_sliding_window_causal_mask\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "create_sliding_window_causal_mask", "kind": 3, "label": "create_sliding_window_causal_mask (import transformers.masking_utils)", "sortText": "715"}, {"additionalTextEdits": [{"newText": "import encodings.aliases\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "encodings.aliases", "kind": 9, "label": "encodings.aliases (import encodings.aliases)", "sortText": "716"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.asyn_wrapper\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.asyn_wrapper", "kind": 9, "label": "fsspec.implementations.asyn_wrapper (import fsspec.implementations.asyn_wrapper)", "sortText": "717"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.dask\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.dask", "kind": 9, "label": "fsspec.implementations.dask (import fsspec.implementations.dask)", "sortText": "718"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.dbfs\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.dbfs", "kind": 9, "label": "fsspec.implementations.dbfs (import fsspec.implementations.dbfs)", "sortText": "719"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.dirfs\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.dirfs", "kind": 9, "label": "fsspec.implementations.dirfs (import fsspec.implementations.dirfs)", "sortText": "720"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.gist\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.gist", "kind": 9, "label": "fsspec.implementations.gist (import fsspec.implementations.gist)", "sortText": "721"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.http_sync\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.http_sync", "kind": 9, "label": "fsspec.implementations.http_sync (import fsspec.implementations.http_sync)", "sortText": "722"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.sftp\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.sftp", "kind": 9, "label": "fsspec.implementations.sftp (import fsspec.implementations.sftp)", "sortText": "723"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.smb\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.smb", "kind": 9, "label": "fsspec.implementations.smb (import fsspec.implementations.smb)", "sortText": "724"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.webhdfs\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.webhdfs", "kind": 9, "label": "fsspec.implementations.webhdfs (import fsspec.implementations.webhdfs)", "sortText": "725"}, {"additionalTextEdits": [{"newText": "import transformers.models.audio_spectrogram_transformer.modeling_audio_spectrogram_transformer\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.audio_spectrogram_transformer.modeling_audio_spectrogram_transformer", "kind": 9, "label": "transformers.models.audio_spectrogram_transformer.modeling_audio_spectrogram_transformer (import transformers.models.audio_spectrogram_transformer.modeling_audio_spectrogram_transformer)", "sortText": "726"}, {"additionalTextEdits": [{"newText": "import transformers.models.chameleon.image_processing_chameleon\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.chameleon.image_processing_chameleon", "kind": 9, "label": "transformers.models.chameleon.image_processing_chameleon (import transformers.models.chameleon.image_processing_chameleon)", "sortText": "727"}, {"additionalTextEdits": [{"newText": "import transformers.models.chameleon.image_processing_chameleon_fast\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.chameleon.image_processing_chameleon_fast", "kind": 9, "label": "transformers.models.chameleon.image_processing_chameleon_fast (import transformers.models.chameleon.image_processing_chameleon_fast)", "sortText": "728"}, {"additionalTextEdits": [{"newText": "import transformers.models.chinese_clip.image_processing_chinese_clip\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.chinese_clip.image_processing_chinese_clip", "kind": 9, "label": "transformers.models.chinese_clip.image_processing_chinese_clip (import transformers.models.chinese_clip.image_processing_chinese_clip)", "sortText": "729"}, {"additionalTextEdits": [{"newText": "import transformers.models.chinese_clip.image_processing_chinese_clip_fast\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.chinese_clip.image_processing_chinese_clip_fast", "kind": 9, "label": "transformers.models.chinese_clip.image_processing_chinese_clip_fast (import transformers.models.chinese_clip.image_processing_chinese_clip_fast)", "sortText": "730"}, {"additionalTextEdits": [{"newText": "import transformers.models.clap.processing_clap\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.clap.processing_clap", "kind": 9, "label": "transformers.models.clap.processing_clap (import transformers.models.clap.processing_clap)", "sortText": "731"}, {"additionalTextEdits": [{"newText": "import transformers.models.clip.image_processing_clip\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.clip.image_processing_clip", "kind": 9, "label": "transformers.models.clip.image_processing_clip (import transformers.models.clip.image_processing_clip)", "sortText": "732"}, {"additionalTextEdits": [{"newText": "import transformers.models.clip.image_processing_clip_fast\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.clip.image_processing_clip_fast", "kind": 9, "label": "transformers.models.clip.image_processing_clip_fast (import transformers.models.clip.image_processing_clip_fast)", "sortText": "733"}, {"additionalTextEdits": [{"newText": "import transformers.models.colpali.processing_colpali\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.colpali.processing_colpali", "kind": 9, "label": "transformers.models.colpali.processing_colpali (import transformers.models.colpali.processing_colpali)", "sortText": "734"}, {"additionalTextEdits": [{"newText": "import transformers.models.conditional_detr.image_processing_conditional_detr\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.conditional_detr.image_processing_conditional_detr", "kind": 9, "label": "transformers.models.conditional_detr.image_processing_conditional_detr (import transformers.models.conditional_detr.image_processing_conditional_detr)", "sortText": "735"}, {"additionalTextEdits": [{"newText": "import transformers.models.conditional_detr.image_processing_conditional_detr_fast\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.conditional_detr.image_processing_conditional_detr_fast", "kind": 9, "label": "transformers.models.conditional_detr.image_processing_conditional_detr_fast (import transformers.models.conditional_detr.image_processing_conditional_detr_fast)", "sortText": "736"}, {"additionalTextEdits": [{"newText": "import transformers.models.deprecated.transfo_xl.modeling_tf_transfo_xl_utilities\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.deprecated.transfo_xl.modeling_tf_transfo_xl_utilities", "kind": 9, "label": "transformers.models.deprecated.transfo_xl.modeling_tf_transfo_xl_utilities (import transformers.models.deprecated.transfo_xl.modeling_tf_transfo_xl_utilities)", "sortText": "737"}, {"additionalTextEdits": [{"newText": "import transformers.models.deprecated.transfo_xl.modeling_transfo_xl_utilities\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.deprecated.transfo_xl.modeling_transfo_xl_utilities", "kind": 9, "label": "transformers.models.deprecated.transfo_xl.modeling_transfo_xl_utilities (import transformers.models.deprecated.transfo_xl.modeling_transfo_xl_utilities)", "sortText": "738"}, {"additionalTextEdits": [{"newText": "import transformers.models.deprecated.tvlt.image_processing_tvlt\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.deprecated.tvlt.image_processing_tvlt", "kind": 9, "label": "transformers.models.deprecated.tvlt.image_processing_tvlt (import transformers.models.deprecated.tvlt.image_processing_tvlt)", "sortText": "739"}, {"additionalTextEdits": [{"newText": "import transformers.models.efficientloftr.image_processing_efficientloftr\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.efficientloftr.image_processing_efficientloftr", "kind": 9, "label": "transformers.models.efficientloftr.image_processing_efficientloftr (import transformers.models.efficientloftr.image_processing_efficientloftr)", "sortText": "740"}, {"additionalTextEdits": [{"newText": "import transformers.models.efficientloftr.image_processing_efficientloftr_fast\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.efficientloftr.image_processing_efficientloftr_fast", "kind": 9, "label": "transformers.models.efficientloftr.image_processing_efficientloftr_fast (import transformers.models.efficientloftr.image_processing_efficientloftr_fast)", "sortText": "741"}, {"additionalTextEdits": [{"newText": "import transformers.models.fastspeech2_conformer.modeling_fastspeech2_conformer\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.fastspeech2_conformer.modeling_fastspeech2_conformer", "kind": 9, "label": "transformers.models.fastspeech2_conformer.modeling_fastspeech2_conformer (import transformers.models.fastspeech2_conformer.modeling_fastspeech2_conformer)", "sortText": "742"}, {"additionalTextEdits": [{"newText": "import transformers.models.instructblipvideo.image_processing_instructblipvideo\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.instructblipvideo.image_processing_instructblipvideo", "kind": 9, "label": "transformers.models.instructblipvideo.image_processing_instructblipvideo (import transformers.models.instructblipvideo.image_processing_instructblipvideo)", "sortText": "743"}, {"additionalTextEdits": [{"newText": "import transformers.models.llava_onevision.image_processing_llava_onevision_fast\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.llava_onevision.image_processing_llava_onevision_fast", "kind": 9, "label": "transformers.models.llava_onevision.image_processing_llava_onevision_fast (import transformers.models.llava_onevision.image_processing_llava_onevision_fast)", "sortText": "744"}, {"additionalTextEdits": [{"newText": "import transformers.models.longcat_flash.configuration_longcat_flash\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.longcat_flash.configuration_longcat_flash", "kind": 9, "label": "transformers.models.longcat_flash.configuration_longcat_flash (import transformers.models.longcat_flash.configuration_longcat_flash)", "sortText": "745"}, {"additionalTextEdits": [{"newText": "import transformers.models.longcat_flash.modeling_longcat_flash\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.longcat_flash.modeling_longcat_flash", "kind": 9, "label": "transformers.models.longcat_flash.modeling_longcat_flash (import transformers.models.longcat_flash.modeling_longcat_flash)", "sortText": "746"}, {"additionalTextEdits": [{"newText": "import transformers.models.longcat_flash.modular_longcat_flash\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.longcat_flash.modular_longcat_flash", "kind": 9, "label": "transformers.models.longcat_flash.modular_longcat_flash (import transformers.models.longcat_flash.modular_longcat_flash)", "sortText": "747"}, {"additionalTextEdits": [{"newText": "import transformers.models.perception_lm.image_processing_perception_lm_fast\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.perception_lm.image_processing_perception_lm_fast", "kind": 9, "label": "transformers.models.perception_lm.image_processing_perception_lm_fast (import transformers.models.perception_lm.image_processing_perception_lm_fast)", "sortText": "748"}, {"additionalTextEdits": [{"newText": "import transformers.models.switch_transformers.modeling_switch_transformers\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.switch_transformers.modeling_switch_transformers", "kind": 9, "label": "transformers.models.switch_transformers.modeling_switch_transformers (import transformers.models.switch_transformers.modeling_switch_transformers)", "sortText": "749"}, {"additionalTextEdits": [{"newText": "import transformers.models.unispeech_sat.modular_unispeech_sat\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.unispeech_sat.modular_unispeech_sat", "kind": 9, "label": "transformers.models.unispeech_sat.modular_unispeech_sat (import transformers.models.unispeech_sat.modular_unispeech_sat)", "sortText": "750"}, {"additionalTextEdits": [{"newText": "from abc import abstractclassmethod\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "abstractclassmethod", "kind": 7, "label": "abstractclassmethod (import abc)", "sortText": "751"}, {"additionalTextEdits": [{"newText": "from _typeshed import DataclassInstance\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DataclassInstance", "kind": 7, "label": "DataclassInstance (import _typeshed)", "sortText": "752"}, {"detail": "def __build_class__(func: () -> CellType | Any, name: str, /, *bases: Any, metaclass: Any = ..., **kwds: Any) -> Any", "documentation": {"kind": "plaintext", "value": "__build_class__(func, name, /, *bases, [metaclass], **kwds) -> class\n\nInternal helper function used by the class statement.\n"}, "kind": 3, "label": "__build_class__", "sortText": "753"}, {"detail": "type[ModuleType]", "documentation": {"kind": "plaintext", "value": "Create a module object.\n\nThe name must be a string; the optional doc argument can have any type.\n"}, "kind": 7, "label": "__class__", "sortText": "754"}, {"detail": "bound method type[ModuleType].__init_subclass__() -> None", "kind": 2, "label": "__init_subclass__", "sortText": "755"}, {"detail": "bound method type[ModuleType].__subclasshook__(subclass: type, /) -> bool", "kind": 2, "label": "__subclasshook__", "sortText": "756"}, {"additionalTextEdits": [{"newText": "from python_lsp_compare.tsp_semantic_tokens import _classify_type_result\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_classify_type_result", "kind": 3, "label": "_classify_type_result (import python_lsp_compare.tsp_semantic_tokens)", "sortText": "757"}, {"additionalTextEdits": [{"newText": "from python_lsp_compare.runner import _effective_validation_thresholds\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_effective_validation_thresholds", "kind": 3, "label": "_effective_validation_thresholds (import python_lsp_compare.runner)", "sortText": "758"}, {"additionalTextEdits": [{"newText": "from sqlite3 import _AnyParamWindowAggregateClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_AnyParamWindowAggregateClass", "kind": 7, "label": "_AnyParamWindowAggregateClass (import sqlite3)", "sortText": "759"}, {"additionalTextEdits": [{"newText": "from urllib3.connectionpool import _DEFAULT_QUEUE_CLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_DEFAULT_QUEUE_CLASS", "kind": 21, "label": "_DEFAULT_QUEUE_CLASS (import urllib3.connectionpool)", "sortText": "760"}, {"additionalTextEdits": [{"newText": "from charset_normalizer.constant import _KNOWN_MB_CLASSES\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_KNOWN_MB_CLASSES", "kind": 21, "label": "_KNOWN_MB_CLASSES (import charset_normalizer.constant)", "sortText": "761"}, {"additionalTextEdits": [{"newText": "from unittest.runner import _ResultClassType\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_ResultClassType", "kind": 6, "label": "_ResultClassType (import unittest.runner)", "sortText": "762"}, {"additionalTextEdits": [{"newText": "from sqlite3 import _SingleParamWindowAggregateClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_SingleParamWindowAggregateClass", "kind": 7, "label": "_SingleParamWindowAggregateClass (import sqlite3)", "sortText": "763"}, {"additionalTextEdits": [{"newText": "from unittest.loader import _SuiteClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_SuiteClass", "kind": 6, "label": "_SuiteClass (import unittest.loader)", "sortText": "764"}, {"additionalTextEdits": [{"newText": "from sqlite3 import _WindowAggregateClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_WindowAggregateClass", "kind": 7, "label": "_WindowAggregateClass (import sqlite3)", "sortText": "765"}, {"additionalTextEdits": [{"newText": "from idna.core import _combining_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_combining_class", "kind": 3, "label": "_combining_class (import idna.core)", "sortText": "766"}, {"additionalTextEdits": [{"newText": "from transformers.utils.fx import _generate_supported_model_class_names\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_generate_supported_model_class_names", "kind": 3, "label": "_generate_supported_model_class_names (import transformers.utils.fx)", "sortText": "767"}, {"additionalTextEdits": [{"newText": "from huggingface_hub.hub_mixin import _load_dataclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_load_dataclass", "kind": 3, "label": "_load_dataclass (import huggingface_hub.hub_mixin)", "sortText": "768"}, {"additionalTextEdits": [{"newText": "from fsspec.spec import _registered_classes\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_registered_classes", "kind": 6, "label": "_registered_classes (import fsspec.spec)", "sortText": "769"}, {"additionalTextEdits": [{"newText": "from idna.core import _virama_combining_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_virama_combining_class", "kind": 6, "label": "_virama_combining_class (import idna.core)", "sortText": "770"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_rope_utils import _compute_linear_scaling_rope_parameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_compute_linear_scaling_rope_parameters", "kind": 3, "label": "_compute_linear_scaling_rope_parameters (import transformers.modeling_rope_utils)", "sortText": "771"}, {"additionalTextEdits": [{"newText": "from fsspec.asyn import _deferred_close_tasks\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_deferred_close_tasks", "kind": 6, "label": "_deferred_close_tasks (import fsspec.asyn)", "sortText": "772"}, {"additionalTextEdits": [{"newText": "from transformers.masking_utils import _ignore_causal_mask_sdpa\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_ignore_causal_mask_sdpa", "kind": 3, "label": "_ignore_causal_mask_sdpa (import transformers.masking_utils)", "sortText": "773"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_attn_mask_utils import _prepare_4d_causal_attention_mask_for_sdpa\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_prepare_4d_causal_attention_mask_for_sdpa", "kind": 3, "label": "_prepare_4d_causal_attention_mask_for_sdpa (import transformers.modeling_attn_mask_utils)", "sortText": "774"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_flash_attention_utils import _process_flash_attention_kwargs\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_process_flash_attention_kwargs", "kind": 3, "label": "_process_flash_attention_kwargs (import transformers.modeling_flash_attention_utils)", "sortText": "775"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_flash_attention_utils import _process_flash_kwargs_fn\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_process_flash_kwargs_fn", "kind": 6, "label": "_process_flash_kwargs_fn (import transformers.modeling_flash_attention_utils)", "sortText": "776"}]}}
 {"suite": "transformers", "label": "classifier pipeline completion", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/transformers/src/inference.py", "line": 15, "character": 19, "iteration": 2, "result": {"isIncomplete": true, "items": [{"detail": "Unknown", "documentation": {"kind": "plaintext", "value": "`Unknown` is a dynamic type inferred due to missing type information or an inference error.\n\nty infers `Unknown` for unannotated values with insufficient type information. It also uses it as a\nfallback after certain type errors. This contrasts with `Any`, which represents an *explicitly*\nannotated dynamic type. Like `Any`, however, it is a dynamic type, so ty allows any operation on it.\n"}, "label": "classifier", "sortText": "  0"}, {"additionalTextEdits": [{"newText": "import dataclasses\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "dataclasses", "kind": 9, "label": "dataclasses (import dataclasses)", "sortText": "  1"}, {"detail": "<class 'classmethod'>", "documentation": {"kind": "plaintext", "value": "Convert a function to be a class method.\n\nA class method receives the class as implicit first argument,\njust like an instance method receives the instance.\nTo declare a class method, use this idiom:\n\n  class C:\n      @classmethod\n      def f(cls, arg1, arg2, argN):\n          ...\n\nIt can be called either on the class (e.g. C.f()) or on an instance\n(e.g. C().f()).  The instance is ignored except for its class.\nIf a class method is called for a derived class, the derived class\nobject is passed as the implied first argument.\n\nClass methods are different than C++ or Java static methods.\nIf you want those, see the staticmethod builtin.\n"}, "kind": 7, "label": "classmethod", "sortText": "  2"}, {"detail": "def issubclass(cls: type, class_or_tuple: _ClassInfo, /) -> bool", "documentation": {"kind": "plaintext", "value": "Return whether 'cls' is derived from another class or is the same class.\n\nA tuple, as in ``issubclass(x, (A, B, ...))``, may be given as the\ntarget to check against.  This is equivalent to ``issubclass(x, A) or\nissubclass(x, B) or ...``.\n"}, "kind": 3, "label": "issubclass", "sortText": "  3"}, {"additionalTextEdits": [{"newText": "from python_lsp_compare.tsp_semantic_tokens import CLASS_MEMBER_MODIFIER\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "CLASS_MEMBER_MODIFIER", "kind": 21, "label": "CLASS_MEMBER_MODIFIER (import python_lsp_compare.tsp_semantic_tokens)", "sortText": "  4"}, {"additionalTextEdits": [{"newText": "from typing import ClassVar\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassVar", "kind": 6, "label": "ClassVar (import typing)", "sortText": "  5"}, {"additionalTextEdits": [{"newText": "from typing import dataclass_transform\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "dataclass_transform", "kind": 3, "label": "dataclass_transform (import typing)", "sortText": "  6"}, {"additionalTextEdits": [{"newText": "from msilib.schema import Class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Class", "kind": 6, "label": "Class (import msilib.schema)", "sortText": "  7"}, {"additionalTextEdits": [{"newText": "from pyclbr import Class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Class", "kind": 7, "label": "Class (import pyclbr)", "sortText": "  8"}, {"additionalTextEdits": [{"newText": "from symtable import Class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Class", "kind": 7, "label": "Class (import symtable)", "sortText": "  9"}, {"additionalTextEdits": [{"newText": "from transformers.utils.auto_docstring import ClassAttrs\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassAttrs", "kind": 7, "label": "ClassAttrs (import transformers.utils.auto_docstring)", "sortText": " 10"}, {"additionalTextEdits": [{"newText": "from ast import ClassDef\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassDef", "kind": 7, "label": "ClassDef (import ast)", "sortText": " 11"}, {"additionalTextEdits": [{"newText": "from transformers.utils.auto_docstring import ClassDocstring\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassDocstring", "kind": 7, "label": "ClassDocstring (import transformers.utils.auto_docstring)", "sortText": " 12"}, {"additionalTextEdits": [{"newText": "from transformers.commands.add_new_model_like import ClassFinder\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassFinder", "kind": 7, "label": "ClassFinder (import transformers.commands.add_new_model_like)", "sortText": " 13"}, {"additionalTextEdits": [{"newText": "from inspect import ClassFoundException\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassFoundException", "kind": 7, "label": "ClassFoundException (import inspect)", "sortText": " 14"}, {"additionalTextEdits": [{"newText": "from transformers.activations import ClassInstantier\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassInstantier", "kind": 7, "label": "ClassInstantier (import transformers.activations)", "sortText": " 15"}, {"additionalTextEdits": [{"newText": "from types import ClassMethodDescriptorType\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassMethodDescriptorType", "kind": 7, "label": "ClassMethodDescriptorType (import types)", "sortText": " 16"}, {"additionalTextEdits": [{"newText": "from typing_extensions import ClassVar\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassVar", "kind": 6, "label": "ClassVar (import typing_extensions)", "sortText": " 17"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.image_classification import ClassificationFunction\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassificationFunction", "kind": 7, "label": "ClassificationFunction (import transformers.pipelines.image_classification)", "sortText": " 18"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.text_classification import ClassificationFunction\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassificationFunction", "kind": 7, "label": "ClassificationFunction (import transformers.pipelines.text_classification)", "sortText": " 19"}, {"additionalTextEdits": [{"newText": ", ClassifierFreeGuidanceLogitsProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ClassifierFreeGuidanceLogitsProcessor", "kind": 6, "label": "ClassifierFreeGuidanceLogitsProcessor (import transformers)", "sortText": " 20"}, {"additionalTextEdits": [{"newText": "from transformers.generation.logits_process import ClassifierFreeGuidanceLogitsProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassifierFreeGuidanceLogitsProcessor", "kind": 7, "label": "ClassifierFreeGuidanceLogitsProcessor (import transformers.generation.logits_process)", "sortText": " 21"}, {"additionalTextEdits": [{"newText": "from transformers.utils.dummy_pt_objects import ClassifierFreeGuidanceLogitsProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassifierFreeGuidanceLogitsProcessor", "kind": 7, "label": "ClassifierFreeGuidanceLogitsProcessor (import transformers.utils.dummy_pt_objects)", "sortText": " 22"}, {"additionalTextEdits": [{"newText": "from inspect import classify_class_attrs\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "classify_class_attrs", "kind": 3, "label": "classify_class_attrs (import inspect)", "sortText": " 23"}, {"additionalTextEdits": [{"newText": "from subprocess import ABOVE_NORMAL_PRIORITY_CLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ABOVE_NORMAL_PRIORITY_CLASS", "kind": 21, "label": "ABOVE_NORMAL_PRIORITY_CLASS (import subprocess)", "sortText": " 24"}, {"additionalTextEdits": [{"newText": ", ASTForAudioClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ASTForAudioClassification", "kind": 7, "label": "ASTForAudioClassification (import transformers)", "sortText": " 25"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import AUDIO_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AUDIO_CLASSIFICATION_SAMPLE", "kind": 21, "label": "AUDIO_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": " 26"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import AUDIO_FRAME_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AUDIO_FRAME_CLASSIFICATION_SAMPLE", "kind": 21, "label": "AUDIO_FRAME_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": " 27"}, {"additionalTextEdits": [{"newText": "from transformers.processing_utils import AUTO_TO_BASE_CLASS_MAPPING\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AUTO_TO_BASE_CLASS_MAPPING", "kind": 21, "label": "AUTO_TO_BASE_CLASS_MAPPING (import transformers.processing_utils)", "sortText": " 28"}, {"additionalTextEdits": [{"newText": ", AlbertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AlbertForSequenceClassification", "kind": 7, "label": "AlbertForSequenceClassification (import transformers)", "sortText": " 29"}, {"additionalTextEdits": [{"newText": ", AlbertForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AlbertForTokenClassification", "kind": 7, "label": "AlbertForTokenClassification (import transformers)", "sortText": " 30"}, {"additionalTextEdits": [{"newText": "from transformers.models.apertus import ApertusForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ApertusForTokenClassification", "kind": 7, "label": "ApertusForTokenClassification (import transformers.models.apertus)", "sortText": " 31"}, {"additionalTextEdits": [{"newText": "from transformers.models.apertus.modular_apertus import ApertusForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ApertusForTokenClassification", "kind": 7, "label": "ApertusForTokenClassification (import transformers.models.apertus.modular_apertus)", "sortText": " 32"}, {"additionalTextEdits": [{"newText": ", ArceeForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ArceeForSequenceClassification", "kind": 7, "label": "ArceeForSequenceClassification (import transformers)", "sortText": " 33"}, {"additionalTextEdits": [{"newText": "from transformers.models.arcee.modular_arcee import ArceeForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ArceeForSequenceClassification", "kind": 7, "label": "ArceeForSequenceClassification (import transformers.models.arcee.modular_arcee)", "sortText": " 34"}, {"additionalTextEdits": [{"newText": ", ArceeForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ArceeForTokenClassification", "kind": 7, "label": "ArceeForTokenClassification (import transformers)", "sortText": " 35"}, {"additionalTextEdits": [{"newText": "from transformers.models.arcee.modular_arcee import ArceeForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ArceeForTokenClassification", "kind": 7, "label": "ArceeForTokenClassification (import transformers.models.arcee.modular_arcee)", "sortText": " 36"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import AudioClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AudioClassificationInput", "kind": 6, "label": "AudioClassificationInput (import huggingface_hub)", "sortText": " 37"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import AudioClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AudioClassificationOutputElement", "kind": 6, "label": "AudioClassificationOutputElement (import huggingface_hub)", "sortText": " 38"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import AudioClassificationOutputTransform\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AudioClassificationOutputTransform", "kind": 6, "label": "AudioClassificationOutputTransform (import huggingface_hub)", "sortText": " 39"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import AudioClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AudioClassificationParameters", "kind": 6, "label": "AudioClassificationParameters (import huggingface_hub)", "sortText": " 40"}, {"additionalTextEdits": [{"newText": ", AudioClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AudioClassificationPipeline", "kind": 6, "label": "AudioClassificationPipeline (import transformers)", "sortText": " 41"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.audio_classification import AudioClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AudioClassificationPipeline", "kind": 7, "label": "AudioClassificationPipeline (import transformers.pipelines.audio_classification)", "sortText": " 42"}, {"additionalTextEdits": [{"newText": ", AutoModelForAudioClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForAudioClassification", "kind": 7, "label": "AutoModelForAudioClassification (import transformers)", "sortText": " 43"}, {"additionalTextEdits": [{"newText": ", AutoModelForAudioFrameClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForAudioFrameClassification", "kind": 7, "label": "AutoModelForAudioFrameClassification (import transformers)", "sortText": " 44"}, {"additionalTextEdits": [{"newText": ", AutoModelForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForImageClassification", "kind": 7, "label": "AutoModelForImageClassification (import transformers)", "sortText": " 45"}, {"additionalTextEdits": [{"newText": ", AutoModelForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForSequenceClassification", "kind": 7, "label": "AutoModelForSequenceClassification (import transformers)", "sortText": " 46"}, {"additionalTextEdits": [{"newText": ", AutoModelForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForTokenClassification", "kind": 7, "label": "AutoModelForTokenClassification (import transformers)", "sortText": " 47"}, {"additionalTextEdits": [{"newText": ", AutoModelForVideoClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForVideoClassification", "kind": 7, "label": "AutoModelForVideoClassification (import transformers)", "sortText": " 48"}, {"additionalTextEdits": [{"newText": ", AutoModelForZeroShotImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForZeroShotImageClassification", "kind": 7, "label": "AutoModelForZeroShotImageClassification (import transformers)", "sortText": " 49"}, {"additionalTextEdits": [{"newText": "from subprocess import BELOW_NORMAL_PRIORITY_CLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "BELOW_NORMAL_PRIORITY_CLASS", "kind": 21, "label": "BELOW_NORMAL_PRIORITY_CLASS (import subprocess)", "sortText": " 50"}, {"additionalTextEdits": [{"newText": ", BartForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BartForSequenceClassification", "kind": 7, "label": "BartForSequenceClassification (import transformers)", "sortText": " 51"}, {"additionalTextEdits": [{"newText": ", BeitForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BeitForImageClassification", "kind": 7, "label": "BeitForImageClassification (import transformers)", "sortText": " 52"}, {"additionalTextEdits": [{"newText": ", BertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BertForSequenceClassification", "kind": 7, "label": "BertForSequenceClassification (import transformers)", "sortText": " 53"}, {"additionalTextEdits": [{"newText": ", BertForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BertForTokenClassification", "kind": 7, "label": "BertForTokenClassification (import transformers)", "sortText": " 54"}, {"additionalTextEdits": [{"newText": ", BigBirdForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BigBirdForSequenceClassification", "kind": 7, "label": "BigBirdForSequenceClassification (import transformers)", "sortText": " 55"}, {"additionalTextEdits": [{"newText": ", BigBirdForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BigBirdForTokenClassification", "kind": 7, "label": "BigBirdForTokenClassification (import transformers)", "sortText": " 56"}, {"additionalTextEdits": [{"newText": ", BigBirdPegasusForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BigBirdPegasusForSequenceClassification", "kind": 7, "label": "BigBirdPegasusForSequenceClassification (import transformers)", "sortText": " 57"}, {"additionalTextEdits": [{"newText": ", BioGptForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BioGptForSequenceClassification", "kind": 7, "label": "BioGptForSequenceClassification (import transformers)", "sortText": " 58"}, {"additionalTextEdits": [{"newText": "from transformers.models.biogpt.modular_biogpt import BioGptForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "BioGptForSequenceClassification", "kind": 7, "label": "BioGptForSequenceClassification (import transformers.models.biogpt.modular_biogpt)", "sortText": " 59"}, {"additionalTextEdits": [{"newText": ", BioGptForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BioGptForTokenClassification", "kind": 7, "label": "BioGptForTokenClassification (import transformers)", "sortText": " 60"}, {"additionalTextEdits": [{"newText": "from transformers.models.biogpt.modular_biogpt import BioGptForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "BioGptForTokenClassification", "kind": 7, "label": "BioGptForTokenClassification (import transformers.models.biogpt.modular_biogpt)", "sortText": " 61"}, {"additionalTextEdits": [{"newText": ", BitForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, 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{"additionalTextEdits": [{"newText": ", CTRLForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CTRLForSequenceClassification", "kind": 7, "label": "CTRLForSequenceClassification (import transformers)", "sortText": " 69"}, {"additionalTextEdits": [{"newText": ", CamembertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CamembertForSequenceClassification", "kind": 7, "label": "CamembertForSequenceClassification (import transformers)", "sortText": " 70"}, {"additionalTextEdits": [{"newText": ", CamembertForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CamembertForTokenClassification", "kind": 7, "label": "CamembertForTokenClassification (import transformers)", "sortText": " 71"}, {"additionalTextEdits": [{"newText": ", CanineForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CanineForSequenceClassification", "kind": 7, "label": "CanineForSequenceClassification (import transformers)", "sortText": " 72"}, {"additionalTextEdits": [{"newText": ", CanineForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CanineForTokenClassification", "kind": 7, "label": "CanineForTokenClassification (import transformers)", "sortText": " 73"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ChatCompletionInputToolChoiceClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ChatCompletionInputToolChoiceClass", "kind": 6, "label": "ChatCompletionInputToolChoiceClass (import huggingface_hub)", "sortText": " 74"}, {"additionalTextEdits": [{"newText": ", ConvBertForSequenceClassification", "range": 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"line": 0}}}], "insertText": "Data2VecAudioForAudioFrameClassification", "kind": 7, "label": "Data2VecAudioForAudioFrameClassification (import transformers.models.data2vec.modular_data2vec_audio)", "sortText": " 81"}, {"additionalTextEdits": [{"newText": ", Data2VecAudioForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Data2VecAudioForSequenceClassification", "kind": 7, "label": "Data2VecAudioForSequenceClassification (import transformers)", "sortText": " 82"}, {"additionalTextEdits": [{"newText": "from transformers.models.data2vec.modular_data2vec_audio import Data2VecAudioForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Data2VecAudioForSequenceClassification", "kind": 7, "label": "Data2VecAudioForSequenceClassification (import transformers.models.data2vec.modular_data2vec_audio)", "sortText": " 83"}, {"additionalTextEdits": [{"newText": ", Data2VecTextForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Data2VecTextForSequenceClassification", "kind": 7, "label": "Data2VecTextForSequenceClassification (import transformers)", "sortText": " 84"}, {"additionalTextEdits": [{"newText": ", Data2VecTextForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Data2VecTextForTokenClassification", "kind": 7, "label": "Data2VecTextForTokenClassification (import transformers)", "sortText": " 85"}, {"additionalTextEdits": [{"newText": ", Data2VecVisionForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Data2VecVisionForImageClassification", "kind": 7, "label": "Data2VecVisionForImageClassification (import transformers)", "sortText": " 86"}, {"additionalTextEdits": [{"newText": "from transformers.hf_argparser import DataClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DataClass", "kind": 6, "label": "DataClass (import transformers.hf_argparser)", "sortText": " 87"}, {"additionalTextEdits": [{"newText": "from transformers.hf_argparser import DataClassType\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DataClassType", "kind": 6, "label": "DataClassType (import transformers.hf_argparser)", "sortText": " 88"}, {"additionalTextEdits": [{"newText": ", DataCollatorForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DataCollatorForTokenClassification", "kind": 7, "label": "DataCollatorForTokenClassification (import transformers)", "sortText": " 89"}, {"additionalTextEdits": [{"newText": "from huggingface_hub.hub_mixin import DataclassInstance\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DataclassInstance", "kind": 7, "label": "DataclassInstance (import huggingface_hub.hub_mixin)", "sortText": " 90"}, {"additionalTextEdits": [{"newText": ", DebertaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DebertaForSequenceClassification", "kind": 7, "label": "DebertaForSequenceClassification (import transformers)", "sortText": " 91"}, {"additionalTextEdits": [{"newText": ", DebertaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DebertaForTokenClassification", "kind": 7, "label": "DebertaForTokenClassification (import transformers)", "sortText": " 92"}, {"additionalTextEdits": [{"newText": ", DebertaV2ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], 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"line": 0}}}], "insertText": "DeepseekV2ForSequenceClassification", "kind": 7, "label": "DeepseekV2ForSequenceClassification (import transformers.models.deepseek_v2.modular_deepseek_v2)", "sortText": " 96"}, {"additionalTextEdits": [{"newText": ", DeepseekV3ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DeepseekV3ForSequenceClassification", "kind": 7, "label": "DeepseekV3ForSequenceClassification (import transformers)", "sortText": " 97"}, {"additionalTextEdits": [{"newText": "from transformers.models.deepseek_v3.modular_deepseek_v3 import DeepseekV3ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DeepseekV3ForSequenceClassification", "kind": 7, "label": "DeepseekV3ForSequenceClassification (import transformers.models.deepseek_v3.modular_deepseek_v3)", "sortText": " 98"}, {"additionalTextEdits": [{"newText": ", DeepseekV3ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DeepseekV3ForTokenClassification", "kind": 7, "label": "DeepseekV3ForTokenClassification (import transformers)", "sortText": " 99"}, {"additionalTextEdits": [{"newText": "from transformers.models.deepseek_v3.modular_deepseek_v3 import DeepseekV3ForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DeepseekV3ForTokenClassification", "kind": 7, "label": "DeepseekV3ForTokenClassification (import transformers.models.deepseek_v3.modular_deepseek_v3)", "sortText": "100"}, {"additionalTextEdits": [{"newText": ", DeiTForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DeiTForImageClassification", "kind": 7, "label": "DeiTForImageClassification (import transformers)", "sortText": "101"}, {"additionalTextEdits": [{"newText": ", DeiTForImageClassificationWithTeacher", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DeiTForImageClassificationWithTeacher", "kind": 7, "label": "DeiTForImageClassificationWithTeacher (import transformers)", "sortText": "102"}, {"additionalTextEdits": [{"newText": "from transformers.generation.logits_process import DiaClassifierFreeGuidanceLogitsProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DiaClassifierFreeGuidanceLogitsProcessor", "kind": 7, "label": "DiaClassifierFreeGuidanceLogitsProcessor (import transformers.generation.logits_process)", "sortText": "103"}, {"additionalTextEdits": [{"newText": ", DiffLlamaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DiffLlamaForSequenceClassification", "kind": 7, "label": "DiffLlamaForSequenceClassification (import transformers)", "sortText": "104"}, {"additionalTextEdits": [{"newText": "from transformers.models.diffllama.modular_diffllama import DiffLlamaForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DiffLlamaForSequenceClassification", "kind": 7, "label": "DiffLlamaForSequenceClassification (import transformers.models.diffllama.modular_diffllama)", "sortText": "105"}, {"additionalTextEdits": [{"newText": ", DiffLlamaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DiffLlamaForTokenClassification", "kind": 7, "label": "DiffLlamaForTokenClassification (import transformers)", "sortText": "106"}, {"additionalTextEdits": [{"newText": "from transformers.models.diffllama.modular_diffllama import DiffLlamaForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DiffLlamaForTokenClassification", "kind": 7, "label": "DiffLlamaForTokenClassification (import transformers.models.diffllama.modular_diffllama)", "sortText": "107"}, {"additionalTextEdits": [{"newText": ", DinatForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DinatForImageClassification", "kind": 7, "label": "DinatForImageClassification (import transformers)", "sortText": "108"}, {"additionalTextEdits": [{"newText": ", Dinov2ForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Dinov2ForImageClassification", "kind": 7, "label": "Dinov2ForImageClassification (import transformers)", "sortText": "109"}, {"additionalTextEdits": [{"newText": ", Dinov2WithRegistersForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Dinov2WithRegistersForImageClassification", "kind": 7, "label": "Dinov2WithRegistersForImageClassification (import transformers)", "sortText": "110"}, {"additionalTextEdits": [{"newText": "from transformers.models.dinov2_with_registers.modular_dinov2_with_registers import Dinov2WithRegistersForImageClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Dinov2WithRegistersForImageClassification", "kind": 7, "label": "Dinov2WithRegistersForImageClassification (import transformers.models.dinov2_with_registers.modular_dinov2_with_registers)", "sortText": "111"}, {"additionalTextEdits": [{"newText": ", DistilBertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DistilBertForSequenceClassification", "kind": 7, "label": "DistilBertForSequenceClassification (import transformers)", "sortText": "112"}, {"additionalTextEdits": [{"newText": ", DistilBertForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DistilBertForTokenClassification", "kind": 7, "label": "DistilBertForTokenClassification (import transformers)", "sortText": "113"}, {"additionalTextEdits": [{"newText": "from distutils.errors import DistutilsClassError\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DistutilsClassError", "kind": 7, "label": "DistutilsClassError (import distutils.errors)", "sortText": "114"}, {"additionalTextEdits": [{"newText": "from ctypes import DllGetClassObject\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DllGetClassObject", "kind": 3, "label": "DllGetClassObject (import ctypes)", "sortText": "115"}, {"additionalTextEdits": [{"newText": "from transformers.models.doge import DogeForSequenceClassification\n", "range": {"end": {"character": 0, 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transformers.models.exaone4.modular_exaone4 import Exaone4ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Exaone4ForSequenceClassification", "kind": 7, "label": "Exaone4ForSequenceClassification (import transformers.models.exaone4.modular_exaone4)", "sortText": "132"}, {"additionalTextEdits": [{"newText": ", Exaone4ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Exaone4ForTokenClassification", "kind": 7, "label": "Exaone4ForTokenClassification (import transformers)", "sortText": "133"}, {"additionalTextEdits": [{"newText": "from transformers.models.exaone4.modular_exaone4 import Exaone4ForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Exaone4ForTokenClassification", "kind": 7, "label": "Exaone4ForTokenClassification (import 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Gemma3TextForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Gemma3TextForSequenceClassification", "kind": 7, "label": "Gemma3TextForSequenceClassification (import transformers.models.gemma3.modular_gemma3)", "sortText": "204"}, {"additionalTextEdits": [{"newText": ", GemmaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GemmaForSequenceClassification", "kind": 7, "label": "GemmaForSequenceClassification (import transformers)", "sortText": "205"}, {"additionalTextEdits": [{"newText": "from transformers.models.gemma.modular_gemma import GemmaForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GemmaForSequenceClassification", "kind": 7, "label": "GemmaForSequenceClassification (import transformers.models.gemma.modular_gemma)", "sortText": "206"}, {"additionalTextEdits": [{"newText": ", GemmaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GemmaForTokenClassification", "kind": 7, "label": "GemmaForTokenClassification (import transformers)", "sortText": "207"}, {"additionalTextEdits": [{"newText": "from transformers.models.gemma.modular_gemma import GemmaForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GemmaForTokenClassification", "kind": 7, "label": "GemmaForTokenClassification (import transformers.models.gemma.modular_gemma)", "sortText": "208"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_layers import GenericForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GenericForSequenceClassification", "kind": 7, "label": "GenericForSequenceClassification (import transformers.modeling_layers)", "sortText": "209"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_layers import GenericForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GenericForTokenClassification", "kind": 7, "label": "GenericForTokenClassification (import transformers.modeling_layers)", "sortText": "210"}, {"additionalTextEdits": [{"newText": ", Glm4ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Glm4ForSequenceClassification", "kind": 7, "label": "Glm4ForSequenceClassification (import transformers)", "sortText": "211"}, {"additionalTextEdits": [{"newText": "from transformers.models.glm4.modular_glm4 import Glm4ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Glm4ForSequenceClassification", "kind": 7, "label": "Glm4ForSequenceClassification (import transformers.models.glm4.modular_glm4)", "sortText": "212"}, {"additionalTextEdits": [{"newText": ", Glm4ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Glm4ForTokenClassification", "kind": 7, "label": "Glm4ForTokenClassification (import transformers)", "sortText": "213"}, {"additionalTextEdits": [{"newText": "from transformers.models.glm4.modular_glm4 import Glm4ForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Glm4ForTokenClassification", "kind": 7, "label": "Glm4ForTokenClassification (import transformers.models.glm4.modular_glm4)", "sortText": "214"}, {"additionalTextEdits": [{"newText": ", GlmForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GlmForSequenceClassification", "kind": 7, "label": "GlmForSequenceClassification (import transformers)", "sortText": "215"}, {"additionalTextEdits": [{"newText": "from transformers.models.glm.modular_glm import GlmForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GlmForSequenceClassification", "kind": 7, "label": "GlmForSequenceClassification (import transformers.models.glm.modular_glm)", "sortText": "216"}, {"additionalTextEdits": [{"newText": ", GlmForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GlmForTokenClassification", "kind": 7, "label": "GlmForTokenClassification (import transformers)", "sortText": "217"}, {"additionalTextEdits": [{"newText": "from transformers.models.glm.modular_glm import GlmForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GlmForTokenClassification", "kind": 7, "label": "GlmForTokenClassification (import transformers.models.glm.modular_glm)", "sortText": "218"}, {"additionalTextEdits": [{"newText": ", GptOssForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GptOssForSequenceClassification", "kind": 7, "label": "GptOssForSequenceClassification (import transformers)", "sortText": "219"}, {"additionalTextEdits": [{"newText": "from transformers.models.gpt_oss.modular_gpt_oss import GptOssForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GptOssForSequenceClassification", "kind": 7, "label": "GptOssForSequenceClassification (import transformers.models.gpt_oss.modular_gpt_oss)", "sortText": "220"}, {"additionalTextEdits": [{"newText": ", GptOssForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GptOssForTokenClassification", "kind": 7, "label": "GptOssForTokenClassification (import transformers)", "sortText": "221"}, {"additionalTextEdits": [{"newText": "from transformers.models.gpt_oss.modular_gpt_oss import GptOssForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "GptOssForTokenClassification", "kind": 7, "label": "GptOssForTokenClassification (import transformers.models.gpt_oss.modular_gpt_oss)", "sortText": "222"}, {"additionalTextEdits": [{"newText": ", GraphormerForGraphClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "GraphormerForGraphClassification", "kind": 7, "label": "GraphormerForGraphClassification (import transformers)", "sortText": "223"}, {"additionalTextEdits": [{"newText": "from transformers.utils.fx import HFProxyableClassMeta\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HFProxyableClassMeta", "kind": 7, "label": "HFProxyableClassMeta (import transformers.utils.fx)", "sortText": "224"}, {"additionalTextEdits": [{"newText": ", HGNetV2ForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HGNetV2ForImageClassification", "kind": 7, "label": "HGNetV2ForImageClassification (import transformers)", "sortText": "225"}, {"additionalTextEdits": [{"newText": "from transformers.models.hgnet_v2.modular_hgnet_v2 import HGNetV2ForImageClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HGNetV2ForImageClassification", "kind": 7, "label": "HGNetV2ForImageClassification (import transformers.models.hgnet_v2.modular_hgnet_v2)", "sortText": "226"}, {"additionalTextEdits": [{"newText": "from subprocess import HIGH_PRIORITY_CLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HIGH_PRIORITY_CLASS", "kind": 21, "label": "HIGH_PRIORITY_CLASS (import subprocess)", "sortText": "227"}, {"additionalTextEdits": [{"newText": "from winreg import HKEY_CLASSES_ROOT\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HKEY_CLASSES_ROOT", "kind": 21, "label": "HKEY_CLASSES_ROOT (import winreg)", "sortText": "228"}, {"additionalTextEdits": [{"newText": ", HeliumForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HeliumForSequenceClassification", "kind": 7, "label": "HeliumForSequenceClassification (import transformers)", "sortText": "229"}, {"additionalTextEdits": [{"newText": "from transformers.models.helium.modular_helium import HeliumForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HeliumForSequenceClassification", "kind": 7, "label": "HeliumForSequenceClassification (import transformers.models.helium.modular_helium)", "sortText": "230"}, {"additionalTextEdits": [{"newText": ", HeliumForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HeliumForTokenClassification", "kind": 7, "label": "HeliumForTokenClassification (import transformers)", "sortText": "231"}, {"additionalTextEdits": [{"newText": "from transformers.models.helium.modular_helium import HeliumForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HeliumForTokenClassification", "kind": 7, "label": "HeliumForTokenClassification (import transformers.models.helium.modular_helium)", "sortText": "232"}, {"additionalTextEdits": [{"newText": ", HieraForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HieraForImageClassification", "kind": 7, "label": "HieraForImageClassification (import transformers)", "sortText": "233"}, {"additionalTextEdits": [{"newText": ", HubertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HubertForSequenceClassification", "kind": 7, "label": "HubertForSequenceClassification (import transformers)", "sortText": "234"}, {"additionalTextEdits": [{"newText": "from transformers.models.hubert.modular_hubert import HubertForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HubertForSequenceClassification", "kind": 7, "label": "HubertForSequenceClassification (import transformers.models.hubert.modular_hubert)", "sortText": "235"}, {"additionalTextEdits": [{"newText": ", HunYuanDenseV1ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HunYuanDenseV1ForSequenceClassification", "kind": 7, "label": "HunYuanDenseV1ForSequenceClassification (import transformers)", "sortText": "236"}, {"additionalTextEdits": [{"newText": "from transformers.models.hunyuan_v1_dense.modular_hunyuan_v1_dense import HunYuanDenseV1ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HunYuanDenseV1ForSequenceClassification", "kind": 7, "label": "HunYuanDenseV1ForSequenceClassification (import transformers.models.hunyuan_v1_dense.modular_hunyuan_v1_dense)", "sortText": "237"}, {"additionalTextEdits": [{"newText": "from transformers.models.hunyuan_v1_moe.modeling_hunyuan_v1_moe import HunYuanMoEV1ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HunYuanMoEV1ForSequenceClassification", "kind": 7, "label": "HunYuanMoEV1ForSequenceClassification (import transformers.models.hunyuan_v1_moe.modeling_hunyuan_v1_moe)", "sortText": "238"}, {"additionalTextEdits": [{"newText": "from transformers.models.hunyuan_v1_moe.modular_hunyuan_v1_moe import HunYuanMoEV1ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HunYuanMoEV1ForSequenceClassification", "kind": 7, "label": "HunYuanMoEV1ForSequenceClassification (import transformers.models.hunyuan_v1_moe.modular_hunyuan_v1_moe)", "sortText": "239"}, {"additionalTextEdits": [{"newText": ", IBertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "IBertForSequenceClassification", "kind": 7, "label": "IBertForSequenceClassification (import transformers)", "sortText": "240"}, {"additionalTextEdits": [{"newText": ", IBertForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "IBertForTokenClassification", "kind": 7, "label": "IBertForTokenClassification (import transformers)", "sortText": "241"}, {"additionalTextEdits": [{"newText": "from subprocess import IDLE_PRIORITY_CLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "IDLE_PRIORITY_CLASS", "kind": 21, "label": "IDLE_PRIORITY_CLASS (import subprocess)", "sortText": "242"}, {"additionalTextEdits": [{"newText": ", IJepaForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "IJepaForImageClassification", "kind": 7, "label": "IJepaForImageClassification (import transformers)", "sortText": "243"}, {"additionalTextEdits": [{"newText": "from transformers.models.ijepa.modular_ijepa import IJepaForImageClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "IJepaForImageClassification", "kind": 7, "label": "IJepaForImageClassification (import transformers.models.ijepa.modular_ijepa)", "sortText": "244"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import IMAGE_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "IMAGE_CLASSIFICATION_SAMPLE", "kind": 21, "label": "IMAGE_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "245"}, {"additionalTextEdits": [{"newText": "from socket import IPV6_RECVTCLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "IPV6_RECVTCLASS", "kind": 6, "label": "IPV6_RECVTCLASS (import socket)", "sortText": "246"}, {"additionalTextEdits": [{"newText": "from socket import IPV6_TCLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "IPV6_TCLASS", "kind": 6, "label": "IPV6_TCLASS (import socket)", "sortText": "247"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ImageClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassificationInput", "kind": 6, "label": "ImageClassificationInput (import huggingface_hub)", "sortText": "248"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ImageClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassificationOutputElement", "kind": 6, "label": "ImageClassificationOutputElement (import huggingface_hub)", "sortText": "249"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ImageClassificationOutputTransform\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassificationOutputTransform", "kind": 6, "label": "ImageClassificationOutputTransform (import huggingface_hub)", "sortText": "250"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ImageClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassificationParameters", "kind": 6, "label": "ImageClassificationParameters (import huggingface_hub)", "sortText": "251"}, {"additionalTextEdits": [{"newText": ", ImageClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ImageClassificationPipeline", "kind": 6, "label": "ImageClassificationPipeline (import transformers)", "sortText": "252"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.image_classification import ImageClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassificationPipeline", "kind": 7, "label": "ImageClassificationPipeline (import transformers.pipelines.image_classification)", "sortText": "253"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_outputs import ImageClassifierOutput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassifierOutput", "kind": 7, "label": "ImageClassifierOutput (import transformers.modeling_outputs)", "sortText": "254"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_outputs import ImageClassifierOutputWithNoAttention\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassifierOutputWithNoAttention", "kind": 7, "label": "ImageClassifierOutputWithNoAttention (import transformers.modeling_outputs)", "sortText": "255"}, {"additionalTextEdits": [{"newText": ", ImageGPTForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ImageGPTForImageClassification", "kind": 7, "label": "ImageGPTForImageClassification (import transformers)", "sortText": "256"}, {"additionalTextEdits": [{"newText": "from transformers.data.data_collator import InputDataClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "InputDataClass", "kind": 6, "label": "InputDataClass (import transformers.data.data_collator)", "sortText": "257"}, {"additionalTextEdits": [{"newText": ", JambaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "JambaForSequenceClassification", "kind": 7, "label": "JambaForSequenceClassification (import transformers)", "sortText": "258"}, {"additionalTextEdits": [{"newText": ", JetMoeForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "JetMoeForSequenceClassification", "kind": 7, "label": "JetMoeForSequenceClassification (import transformers)", "sortText": "259"}, {"additionalTextEdits": [{"newText": ", LEDForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LEDForSequenceClassification", "kind": 7, "label": "LEDForSequenceClassification (import transformers)", "sortText": "260"}, {"additionalTextEdits": [{"newText": ", LayoutLMForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LayoutLMForSequenceClassification", "kind": 7, "label": "LayoutLMForSequenceClassification (import transformers)", "sortText": "261"}, {"additionalTextEdits": [{"newText": ", LayoutLMForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LayoutLMForTokenClassification", "kind": 7, "label": "LayoutLMForTokenClassification (import transformers)", "sortText": "262"}, {"additionalTextEdits": [{"newText": ", LayoutLMv2ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LayoutLMv2ForSequenceClassification", "kind": 7, "label": "LayoutLMv2ForSequenceClassification (import transformers)", "sortText": "263"}, {"additionalTextEdits": [{"newText": ", LayoutLMv2ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LayoutLMv2ForTokenClassification", "kind": 7, "label": "LayoutLMv2ForTokenClassification (import transformers)", "sortText": "264"}, {"additionalTextEdits": [{"newText": ", LayoutLMv3ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LayoutLMv3ForSequenceClassification", "kind": 7, "label": "LayoutLMv3ForSequenceClassification (import transformers)", "sortText": "265"}, {"additionalTextEdits": [{"newText": ", LayoutLMv3ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LayoutLMv3ForTokenClassification", "kind": 7, "label": "LayoutLMv3ForTokenClassification (import transformers)", "sortText": "266"}, {"additionalTextEdits": [{"newText": ", LevitForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LevitForImageClassification", "kind": 7, "label": "LevitForImageClassification (import transformers)", "sortText": "267"}, {"additionalTextEdits": [{"newText": ", LevitForImageClassificationWithTeacher", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LevitForImageClassificationWithTeacher", "kind": 7, "label": "LevitForImageClassificationWithTeacher (import transformers)", "sortText": "268"}, {"additionalTextEdits": [{"newText": ", LiltForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LiltForSequenceClassification", "kind": 7, "label": "LiltForSequenceClassification (import transformers)", "sortText": "269"}, {"additionalTextEdits": [{"newText": ", LiltForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LiltForTokenClassification", "kind": 7, "label": "LiltForTokenClassification (import transformers)", "sortText": "270"}, {"additionalTextEdits": [{"newText": ", LlamaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LlamaForSequenceClassification", "kind": 7, "label": "LlamaForSequenceClassification (import transformers)", "sortText": "271"}, {"additionalTextEdits": [{"newText": ", LlamaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LlamaForTokenClassification", "kind": 7, "label": "LlamaForTokenClassification (import transformers)", "sortText": "272"}, {"additionalTextEdits": [{"newText": ", LongformerForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LongformerForSequenceClassification", "kind": 7, "label": "LongformerForSequenceClassification (import transformers)", "sortText": "273"}, {"additionalTextEdits": [{"newText": ", LongformerForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LongformerForTokenClassification", "kind": 7, "label": "LongformerForTokenClassification (import transformers)", "sortText": "274"}, {"additionalTextEdits": [{"newText": ", LukeForEntityClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LukeForEntityClassification", "kind": 7, "label": "LukeForEntityClassification (import transformers)", "sortText": "275"}, {"additionalTextEdits": [{"newText": ", LukeForEntityPairClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LukeForEntityPairClassification", "kind": 7, "label": "LukeForEntityPairClassification (import transformers)", "sortText": "276"}, {"additionalTextEdits": [{"newText": ", LukeForEntitySpanClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LukeForEntitySpanClassification", "kind": 7, "label": "LukeForEntitySpanClassification (import transformers)", "sortText": "277"}, {"additionalTextEdits": [{"newText": ", LukeForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LukeForSequenceClassification", "kind": 7, "label": "LukeForSequenceClassification (import transformers)", "sortText": "278"}, {"additionalTextEdits": [{"newText": ", LukeForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LukeForTokenClassification", "kind": 7, "label": "LukeForTokenClassification (import transformers)", "sortText": "279"}, {"additionalTextEdits": [{"newText": ", MBartForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MBartForSequenceClassification", "kind": 7, "label": "MBartForSequenceClassification (import transformers)", "sortText": "280"}, {"additionalTextEdits": [{"newText": ", MMBTForClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MMBTForClassification", "kind": 7, "label": "MMBTForClassification (import transformers)", "sortText": "281"}, {"additionalTextEdits": [{"newText": "from transformers.data.datasets.squad import MODEL_CONFIG_CLASSES\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "MODEL_CONFIG_CLASSES", "kind": 21, "label": "MODEL_CONFIG_CLASSES (import transformers.data.datasets.squad)", "sortText": "282"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING (import transformers)", "sortText": "283"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING (import transformers)", "sortText": "284"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING (import transformers)", "sortText": "285"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING (import transformers)", "sortText": "286"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_TIME_SERIES_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_TIME_SERIES_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_TIME_SERIES_CLASSIFICATION_MAPPING (import transformers)", "sortText": "287"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING (import transformers)", "sortText": "288"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING (import transformers)", "sortText": "289"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING (import transformers)", "sortText": "290"}, {"additionalTextEdits": [{"newText": ", MPNetForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MPNetForSequenceClassification", "kind": 7, "label": "MPNetForSequenceClassification (import transformers)", "sortText": "291"}, {"additionalTextEdits": [{"newText": ", MPNetForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MPNetForTokenClassification", "kind": 7, "label": "MPNetForTokenClassification (import transformers)", "sortText": "292"}, {"additionalTextEdits": [{"newText": ", MT5ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MT5ForSequenceClassification", "kind": 7, "label": "MT5ForSequenceClassification (import transformers)", "sortText": "293"}, {"additionalTextEdits": [{"newText": ", MT5ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MT5ForTokenClassification", "kind": 7, "label": "MT5ForTokenClassification (import transformers)", "sortText": "294"}, {"additionalTextEdits": [{"newText": ", MarkupLMForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MarkupLMForSequenceClassification", "kind": 7, "label": "MarkupLMForSequenceClassification (import transformers)", "sortText": "295"}, {"additionalTextEdits": [{"newText": ", MarkupLMForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MarkupLMForTokenClassification", "kind": 7, "label": "MarkupLMForTokenClassification (import transformers)", "sortText": "296"}, {"additionalTextEdits": [{"newText": "from ast import MatchClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "MatchClass", "kind": 7, "label": "MatchClass (import ast)", "sortText": "297"}, {"additionalTextEdits": [{"newText": ", MegaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MegaForSequenceClassification", "kind": 7, "label": "MegaForSequenceClassification (import transformers)", "sortText": "298"}, {"additionalTextEdits": [{"newText": ", MegaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MegaForTokenClassification", "kind": 7, "label": "MegaForTokenClassification (import transformers)", "sortText": "299"}, {"additionalTextEdits": [{"newText": ", MegatronBertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MegatronBertForSequenceClassification", "kind": 7, "label": "MegatronBertForSequenceClassification (import transformers)", "sortText": "300"}, {"additionalTextEdits": [{"newText": ", MegatronBertForTokenClassification", "range": {"end": {"character": 33, 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{"additionalTextEdits": [{"newText": ", MiniMaxForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MiniMaxForSequenceClassification", "kind": 7, "label": "MiniMaxForSequenceClassification (import transformers)", "sortText": "304"}, {"additionalTextEdits": [{"newText": "from transformers.models.minimax.modular_minimax import MiniMaxForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "MiniMaxForSequenceClassification", "kind": 7, "label": "MiniMaxForSequenceClassification (import transformers.models.minimax.modular_minimax)", "sortText": "305"}, {"additionalTextEdits": [{"newText": ", MiniMaxForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MiniMaxForTokenClassification", "kind": 7, "label": "MiniMaxForTokenClassification (import transformers)", "sortText": "306"}, {"additionalTextEdits": [{"newText": "from transformers.models.minimax.modular_minimax import MiniMaxForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "MiniMaxForTokenClassification", "kind": 7, "label": "MiniMaxForTokenClassification (import transformers.models.minimax.modular_minimax)", "sortText": "307"}, {"additionalTextEdits": [{"newText": ", MinistralForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MinistralForSequenceClassification", "kind": 7, "label": "MinistralForSequenceClassification (import transformers)", "sortText": "308"}, {"additionalTextEdits": [{"newText": "from transformers.models.ministral.modular_ministral import MinistralForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "MinistralForSequenceClassification", "kind": 7, "label": "MinistralForSequenceClassification (import transformers.models.ministral.modular_ministral)", "sortText": "309"}, {"additionalTextEdits": [{"newText": ", MinistralForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MinistralForTokenClassification", "kind": 7, "label": "MinistralForTokenClassification (import transformers)", "sortText": "310"}, {"additionalTextEdits": [{"newText": "from transformers.models.ministral.modular_ministral import MinistralForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "MinistralForTokenClassification", "kind": 7, "label": "MinistralForTokenClassification (import transformers.models.ministral.modular_ministral)", "sortText": "311"}, {"additionalTextEdits": [{"newText": ", MistralForSequenceClassification", "range": {"end": {"character": 33, 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MistralForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "MistralForTokenClassification", "kind": 7, "label": "MistralForTokenClassification (import transformers.models.mistral.modular_mistral)", "sortText": "315"}, {"additionalTextEdits": [{"newText": ", MixtralForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MixtralForSequenceClassification", "kind": 7, "label": "MixtralForSequenceClassification (import transformers)", "sortText": "316"}, {"additionalTextEdits": [{"newText": "from transformers.models.mixtral.modular_mixtral import MixtralForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "MixtralForSequenceClassification", "kind": 7, "label": "MixtralForSequenceClassification (import transformers.models.mixtral.modular_mixtral)", "sortText": "317"}, {"additionalTextEdits": [{"newText": ", MixtralForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MixtralForTokenClassification", "kind": 7, "label": "MixtralForTokenClassification (import transformers)", "sortText": "318"}, {"additionalTextEdits": [{"newText": "from transformers.models.mixtral.modular_mixtral import MixtralForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "MixtralForTokenClassification", "kind": 7, "label": "MixtralForTokenClassification (import transformers.models.mixtral.modular_mixtral)", "sortText": "319"}, {"additionalTextEdits": [{"newText": ", MobileBertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MobileBertForSequenceClassification", "kind": 7, "label": "MobileBertForSequenceClassification (import transformers)", 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", MobileViTForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MobileViTForImageClassification", "kind": 7, "label": "MobileViTForImageClassification (import transformers)", "sortText": "324"}, {"additionalTextEdits": [{"newText": ", MobileViTV2ForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MobileViTV2ForImageClassification", "kind": 7, "label": "MobileViTV2ForImageClassification (import transformers)", "sortText": "325"}, {"additionalTextEdits": [{"newText": ", ModernBertDecoderForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ModernBertDecoderForSequenceClassification", "kind": 7, "label": "ModernBertDecoderForSequenceClassification (import transformers)", "sortText": "326"}, {"additionalTextEdits": [{"newText": "from transformers.models.modernbert_decoder.modular_modernbert_decoder import ModernBertDecoderForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ModernBertDecoderForSequenceClassification", "kind": 7, "label": "ModernBertDecoderForSequenceClassification (import transformers.models.modernbert_decoder.modular_modernbert_decoder)", "sortText": "327"}, {"additionalTextEdits": [{"newText": ", ModernBertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ModernBertForSequenceClassification", "kind": 7, "label": "ModernBertForSequenceClassification (import transformers)", "sortText": "328"}, {"additionalTextEdits": [{"newText": "from transformers.models.modernbert.modular_modernbert import ModernBertForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ModernBertForSequenceClassification", "kind": 7, "label": "ModernBertForSequenceClassification (import transformers.models.modernbert.modular_modernbert)", "sortText": "329"}, {"additionalTextEdits": [{"newText": ", ModernBertForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ModernBertForTokenClassification", "kind": 7, "label": "ModernBertForTokenClassification (import transformers)", "sortText": "330"}, {"additionalTextEdits": [{"newText": "from transformers.models.modernbert.modular_modernbert import ModernBertForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ModernBertForTokenClassification", "kind": 7, "label": "ModernBertForTokenClassification (import transformers.models.modernbert.modular_modernbert)", "sortText": "331"}, {"additionalTextEdits": [{"newText": ", MptForSequenceClassification", "range": {"end": {"character": 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[{"newText": ", NemotronForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "NemotronForSequenceClassification", "kind": 7, "label": "NemotronForSequenceClassification (import transformers)", "sortText": "339"}, {"additionalTextEdits": [{"newText": ", NemotronForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "NemotronForTokenClassification", "kind": 7, "label": "NemotronForTokenClassification (import transformers)", "sortText": "340"}, {"additionalTextEdits": [{"newText": ", NezhaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "NezhaForSequenceClassification", "kind": 7, "label": "NezhaForSequenceClassification (import transformers)", "sortText": "341"}, {"additionalTextEdits": [{"newText": ", NezhaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "NezhaForTokenClassification", "kind": 7, "label": "NezhaForTokenClassification (import transformers)", "sortText": "342"}, {"additionalTextEdits": [{"newText": ", NystromformerForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "NystromformerForSequenceClassification", "kind": 7, "label": "NystromformerForSequenceClassification (import transformers)", "sortText": "343"}, {"additionalTextEdits": [{"newText": ", NystromformerForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "NystromformerForTokenClassification", "kind": 7, "label": "NystromformerForTokenClassification (import transformers)", "sortText": "344"}, {"additionalTextEdits": [{"newText": ", OPTForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "OPTForSequenceClassification", "kind": 7, "label": "OPTForSequenceClassification (import transformers)", "sortText": "345"}, {"additionalTextEdits": [{"newText": ", OpenAIGPTForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "OpenAIGPTForSequenceClassification", "kind": 7, "label": "OpenAIGPTForSequenceClassification (import transformers)", "sortText": "346"}, {"additionalTextEdits": [{"newText": ", OpenLlamaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "OpenLlamaForSequenceClassification", "kind": 7, "label": "OpenLlamaForSequenceClassification (import transformers)", "sortText": "347"}, {"additionalTextEdits": [{"newText": ", PLBartForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "PLBartForSequenceClassification", "kind": 7, "label": "PLBartForSequenceClassification (import transformers)", "sortText": "348"}, {"additionalTextEdits": [{"newText": "from transformers.models.plbart.modular_plbart import PLBartForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "PLBartForSequenceClassification", "kind": 7, "label": "PLBartForSequenceClassification (import transformers.models.plbart.modular_plbart)", "sortText": "349"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import PT_SEQUENCE_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "PT_SEQUENCE_CLASSIFICATION_SAMPLE", "kind": 21, "label": "PT_SEQUENCE_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "350"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import PT_SPEECH_FRAME_CLASS_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "PT_SPEECH_FRAME_CLASS_SAMPLE", "kind": 21, "label": "PT_SPEECH_FRAME_CLASS_SAMPLE (import transformers.utils.doc)", "sortText": "351"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import PT_SPEECH_SEQ_CLASS_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "PT_SPEECH_SEQ_CLASS_SAMPLE", "kind": 21, "label": "PT_SPEECH_SEQ_CLASS_SAMPLE (import transformers.utils.doc)", "sortText": "352"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import PT_TOKEN_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "PT_TOKEN_CLASSIFICATION_SAMPLE", "kind": 21, "label": "PT_TOKEN_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "353"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import 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{"character": 0, "line": 0}}}], "insertText": "Qwen3MoeForTokenClassification", "kind": 7, "label": "Qwen3MoeForTokenClassification (import transformers.models.qwen3_moe.modular_qwen3_moe)", "sortText": "390"}, {"additionalTextEdits": [{"newText": ", Qwen3NextForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Qwen3NextForSequenceClassification", "kind": 7, "label": "Qwen3NextForSequenceClassification (import transformers)", "sortText": "391"}, {"additionalTextEdits": [{"newText": "from transformers.models.qwen3_next.modular_qwen3_next import Qwen3NextForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Qwen3NextForSequenceClassification", "kind": 7, "label": "Qwen3NextForSequenceClassification (import transformers.models.qwen3_next.modular_qwen3_next)", "sortText": "392"}, {"additionalTextEdits": [{"newText": ", 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{"additionalTextEdits": [{"newText": ", ReformerForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ReformerForSequenceClassification", "kind": 7, "label": "ReformerForSequenceClassification (import transformers)", "sortText": "396"}, {"additionalTextEdits": [{"newText": ", RegNetForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "RegNetForImageClassification", "kind": 7, "label": "RegNetForImageClassification (import transformers)", "sortText": "397"}, {"additionalTextEdits": [{"newText": ", RemBertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "RemBertForSequenceClassification", "kind": 7, "label": "RemBertForSequenceClassification (import transformers)", "sortText": "398"}, {"additionalTextEdits": [{"newText": ", RemBertForTokenClassification", 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"SeedOssForTokenClassification (import transformers)", "sortText": "414"}, {"additionalTextEdits": [{"newText": "from transformers.models.seed_oss.modular_seed_oss import SeedOssForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "SeedOssForTokenClassification", "kind": 7, "label": "SeedOssForTokenClassification (import transformers.models.seed_oss.modular_seed_oss)", "sortText": "415"}, {"additionalTextEdits": [{"newText": ", SegformerForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "SegformerForImageClassification", "kind": 7, "label": "SegformerForImageClassification (import transformers)", "sortText": "416"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_outputs import Seq2SeqSequenceClassifierOutput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Seq2SeqSequenceClassifierOutput", "kind": 7, "label": "Seq2SeqSequenceClassifierOutput (import transformers.modeling_outputs)", "sortText": "417"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_outputs import SequenceClassifierOutput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "SequenceClassifierOutput", "kind": 7, "label": "SequenceClassifierOutput (import transformers.modeling_outputs)", "sortText": "418"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_outputs import SequenceClassifierOutputWithPast\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "SequenceClassifierOutputWithPast", "kind": 7, "label": "SequenceClassifierOutputWithPast (import transformers.modeling_outputs)", "sortText": "419"}, {"additionalTextEdits": [{"newText": ", ShieldGemma2ForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": 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"sortText": "537"}, {"additionalTextEdits": [{"newText": ", TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING", "kind": 21, "label": "TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING (import transformers)", "sortText": "538"}, {"additionalTextEdits": [{"newText": ", TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING", "kind": 21, "label": "TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING (import transformers)", "sortText": "539"}, {"additionalTextEdits": [{"newText": ", TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING", "kind": 21, "label": "TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING (import transformers)", "sortText": "540"}, {"additionalTextEdits": [{"newText": ", TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING", "kind": 21, "label": "TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING (import transformers)", "sortText": "541"}, {"additionalTextEdits": [{"newText": ", TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING", "kind": 21, "label": "TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING (import transformers)", "sortText": "542"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import TF_SEQUENCE_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TF_SEQUENCE_CLASSIFICATION_SAMPLE", "kind": 21, "label": "TF_SEQUENCE_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "543"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import TF_TOKEN_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TF_TOKEN_CLASSIFICATION_SAMPLE", "kind": 21, "label": "TF_TOKEN_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "544"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import TF_VISION_SEQ_CLASS_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TF_VISION_SEQ_CLASS_SAMPLE", "kind": 21, "label": "TF_VISION_SEQ_CLASS_SAMPLE (import transformers.utils.doc)", "sortText": "545"}, {"additionalTextEdits": [{"newText": "from transformers.convert_slow_tokenizers_checkpoints_to_fast import TOKENIZER_CLASSES\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TOKENIZER_CLASSES", "kind": 21, "label": "TOKENIZER_CLASSES (import transformers.convert_slow_tokenizers_checkpoints_to_fast)", "sortText": "546"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import TOKEN_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TOKEN_CLASSIFICATION_SAMPLE", "kind": 21, "label": "TOKEN_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "547"}, {"additionalTextEdits": [{"newText": ", TapasForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TapasForSequenceClassification", "kind": 7, "label": "TapasForSequenceClassification (import transformers)", "sortText": "548"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TextClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TextClassificationInput", "kind": 6, "label": "TextClassificationInput (import huggingface_hub)", "sortText": "549"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TextClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TextClassificationOutputElement", "kind": 6, "label": "TextClassificationOutputElement (import huggingface_hub)", "sortText": "550"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TextClassificationOutputTransform\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TextClassificationOutputTransform", "kind": 6, "label": "TextClassificationOutputTransform (import huggingface_hub)", "sortText": "551"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TextClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TextClassificationParameters", "kind": 6, "label": "TextClassificationParameters (import huggingface_hub)", "sortText": "552"}, {"additionalTextEdits": [{"newText": ", TextClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TextClassificationPipeline", "kind": 6, "label": "TextClassificationPipeline (import transformers)", "sortText": "553"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.text_classification import TextClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TextClassificationPipeline", "kind": 7, "label": "TextClassificationPipeline (import transformers.pipelines.text_classification)", "sortText": "554"}, {"additionalTextEdits": [{"newText": ", TextNetForImageClassification", "range": {"end": {"character": 33, "line": 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"line": 0}}}], "insertText": "TokenClassificationAggregationStrategy", "kind": 6, "label": "TokenClassificationAggregationStrategy (import huggingface_hub)", "sortText": "558"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.token_classification import TokenClassificationArgumentHandler\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassificationArgumentHandler", "kind": 7, "label": "TokenClassificationArgumentHandler (import transformers.pipelines.token_classification)", "sortText": "559"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TokenClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassificationInput", "kind": 6, "label": "TokenClassificationInput (import huggingface_hub)", "sortText": "560"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TokenClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassificationOutputElement", "kind": 6, "label": "TokenClassificationOutputElement (import huggingface_hub)", "sortText": "561"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TokenClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassificationParameters", "kind": 6, "label": "TokenClassificationParameters (import huggingface_hub)", "sortText": "562"}, {"additionalTextEdits": [{"newText": ", TokenClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TokenClassificationPipeline", "kind": 6, "label": "TokenClassificationPipeline (import transformers)", "sortText": "563"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.token_classification import TokenClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassificationPipeline", "kind": 7, "label": "TokenClassificationPipeline (import transformers.pipelines.token_classification)", "sortText": "564"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_outputs import TokenClassifierOutput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassifierOutput", "kind": 7, "label": "TokenClassifierOutput (import transformers.modeling_outputs)", "sortText": "565"}, {"additionalTextEdits": [{"newText": ", TransfoXLForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TransfoXLForSequenceClassification", "kind": 7, "label": "TransfoXLForSequenceClassification (import transformers)", "sortText": "566"}, {"additionalTextEdits": [{"newText": ", TvltForAudioVisualClassification", "range": 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"from transformers.utils.dummy_pt_objects import UnbatchedClassifierFreeGuidanceLogitsProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "UnbatchedClassifierFreeGuidanceLogitsProcessor", "kind": 7, "label": "UnbatchedClassifierFreeGuidanceLogitsProcessor (import transformers.utils.dummy_pt_objects)", "sortText": "573"}, {"additionalTextEdits": [{"newText": ", UniSpeechForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "UniSpeechForSequenceClassification", "kind": 7, "label": "UniSpeechForSequenceClassification (import transformers)", "sortText": "574"}, {"additionalTextEdits": [{"newText": "from transformers.models.unispeech.modular_unispeech import UniSpeechForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "UniSpeechForSequenceClassification", "kind": 7, "label": 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33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "UniSpeechSatForSequenceClassification", "kind": 7, "label": "UniSpeechSatForSequenceClassification (import transformers)", "sortText": "578"}, {"additionalTextEdits": [{"newText": "from transformers.models.unispeech_sat.modular_unispeech_sat import UniSpeechSatForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "UniSpeechSatForSequenceClassification", "kind": 7, "label": "UniSpeechSatForSequenceClassification (import transformers.models.unispeech_sat.modular_unispeech_sat)", "sortText": "579"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import VIDEO_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "VIDEO_CLASSIFICATION_SAMPLE", "kind": 21, "label": "VIDEO_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "580"}, {"additionalTextEdits": [{"newText": ", VJEPA2ForVideoClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "VJEPA2ForVideoClassification", "kind": 7, "label": "VJEPA2ForVideoClassification (import transformers)", "sortText": "581"}, {"additionalTextEdits": [{"newText": ", VanForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "VanForImageClassification", "kind": 7, "label": "VanForImageClassification (import transformers)", "sortText": "582"}, {"additionalTextEdits": [{"newText": ", ViTForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ViTForImageClassification", "kind": 7, "label": "ViTForImageClassification (import transformers)", "sortText": "583"}, {"additionalTextEdits": [{"newText": ", ViTHybridForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ViTHybridForImageClassification", "kind": 7, "label": "ViTHybridForImageClassification (import transformers)", "sortText": "584"}, {"additionalTextEdits": [{"newText": ", ViTMSNForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ViTMSNForImageClassification", "kind": 7, "label": "ViTMSNForImageClassification (import transformers)", "sortText": "585"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import VideoClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "VideoClassificationInput", "kind": 6, "label": "VideoClassificationInput (import huggingface_hub)", "sortText": "586"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import VideoClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "VideoClassificationOutputElement", "kind": 6, "label": "VideoClassificationOutputElement (import huggingface_hub)", "sortText": "587"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import VideoClassificationOutputTransform\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "VideoClassificationOutputTransform", "kind": 6, "label": "VideoClassificationOutputTransform (import huggingface_hub)", "sortText": "588"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import VideoClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "VideoClassificationParameters", "kind": 6, "label": "VideoClassificationParameters (import huggingface_hub)", "sortText": "589"}, {"additionalTextEdits": [{"newText": ", VideoClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "VideoClassificationPipeline", "kind": 6, "label": "VideoClassificationPipeline (import transformers)", "sortText": "590"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.video_classification import VideoClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "VideoClassificationPipeline", "kind": 7, "label": "VideoClassificationPipeline (import transformers.pipelines.video_classification)", "sortText": "591"}, {"additionalTextEdits": [{"newText": ", VideoMAEForVideoClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "VideoMAEForVideoClassification", "kind": 7, "label": "VideoMAEForVideoClassification (import transformers)", "sortText": "592"}, {"additionalTextEdits": [{"newText": ", ViltForImagesAndTextClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ViltForImagesAndTextClassification", "kind": 7, "label": "ViltForImagesAndTextClassification (import transformers)", "sortText": "593"}, {"additionalTextEdits": [{"newText": ", ViltForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ViltForTokenClassification", "kind": 7, "label": "ViltForTokenClassification (import transformers)", "sortText": "594"}, {"additionalTextEdits": [{"newText": ", VivitForVideoClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "VivitForVideoClassification", "kind": 7, "label": "VivitForVideoClassification (import transformers)", "sortText": "595"}, {"additionalTextEdits": [{"newText": ", Wav2Vec2BertForAudioFrameClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Wav2Vec2BertForAudioFrameClassification", "kind": 7, "label": "Wav2Vec2BertForAudioFrameClassification (import transformers)", "sortText": "596"}, {"additionalTextEdits": [{"newText": "from transformers.models.wav2vec2_bert.modular_wav2vec2_bert import Wav2Vec2BertForAudioFrameClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Wav2Vec2BertForAudioFrameClassification", "kind": 7, "label": "Wav2Vec2BertForAudioFrameClassification (import transformers.models.wav2vec2_bert.modular_wav2vec2_bert)", "sortText": "597"}, {"additionalTextEdits": [{"newText": ", Wav2Vec2BertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Wav2Vec2BertForSequenceClassification", "kind": 7, "label": "Wav2Vec2BertForSequenceClassification (import transformers)", "sortText": "598"}, {"additionalTextEdits": [{"newText": "from transformers.models.wav2vec2_bert.modular_wav2vec2_bert import Wav2Vec2BertForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Wav2Vec2BertForSequenceClassification", "kind": 7, "label": "Wav2Vec2BertForSequenceClassification (import transformers.models.wav2vec2_bert.modular_wav2vec2_bert)", "sortText": "599"}, {"additionalTextEdits": [{"newText": ", Wav2Vec2ConformerForAudioFrameClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Wav2Vec2ConformerForAudioFrameClassification", "kind": 7, "label": "Wav2Vec2ConformerForAudioFrameClassification (import transformers)", "sortText": "600"}, {"additionalTextEdits": [{"newText": "from transformers.models.wav2vec2_conformer.modular_wav2vec2_conformer import Wav2Vec2ConformerForAudioFrameClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Wav2Vec2ConformerForAudioFrameClassification", "kind": 7, "label": "Wav2Vec2ConformerForAudioFrameClassification (import transformers.models.wav2vec2_conformer.modular_wav2vec2_conformer)", "sortText": "601"}, {"additionalTextEdits": [{"newText": ", Wav2Vec2ConformerForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Wav2Vec2ConformerForSequenceClassification", "kind": 7, "label": "Wav2Vec2ConformerForSequenceClassification (import transformers)", "sortText": "602"}, {"additionalTextEdits": [{"newText": "from transformers.models.wav2vec2_conformer.modular_wav2vec2_conformer import Wav2Vec2ConformerForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Wav2Vec2ConformerForSequenceClassification", "kind": 7, "label": "Wav2Vec2ConformerForSequenceClassification (import transformers.models.wav2vec2_conformer.modular_wav2vec2_conformer)", "sortText": "603"}, {"additionalTextEdits": [{"newText": ", Wav2Vec2ForAudioFrameClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Wav2Vec2ForAudioFrameClassification", "kind": 7, "label": "Wav2Vec2ForAudioFrameClassification (import transformers)", "sortText": "604"}, {"additionalTextEdits": [{"newText": ", Wav2Vec2ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Wav2Vec2ForSequenceClassification", "kind": 7, "label": "Wav2Vec2ForSequenceClassification (import transformers)", "sortText": "605"}, {"additionalTextEdits": [{"newText": ", WavLMForAudioFrameClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "WavLMForAudioFrameClassification", "kind": 7, "label": "WavLMForAudioFrameClassification (import transformers)", "sortText": "606"}, {"additionalTextEdits": [{"newText": "from transformers.models.wavlm.modular_wavlm import WavLMForAudioFrameClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "WavLMForAudioFrameClassification", "kind": 7, "label": "WavLMForAudioFrameClassification (import transformers.models.wavlm.modular_wavlm)", "sortText": "607"}, {"additionalTextEdits": [{"newText": ", WavLMForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "WavLMForSequenceClassification", "kind": 7, "label": "WavLMForSequenceClassification (import transformers)", "sortText": "608"}, {"additionalTextEdits": [{"newText": "from transformers.models.wavlm.modular_wavlm import WavLMForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "WavLMForSequenceClassification", "kind": 7, "label": "WavLMForSequenceClassification (import transformers.models.wavlm.modular_wavlm)", "sortText": "609"}, {"additionalTextEdits": [{"newText": ", WhisperForAudioClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "WhisperForAudioClassification", "kind": 7, "label": "WhisperForAudioClassification (import transformers)", "sortText": "610"}, {"additionalTextEdits": [{"newText": ", XLMForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLMForSequenceClassification", "kind": 7, "label": "XLMForSequenceClassification (import transformers)", "sortText": "611"}, {"additionalTextEdits": [{"newText": ", XLMForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLMForTokenClassification", "kind": 7, "label": "XLMForTokenClassification (import transformers)", "sortText": "612"}, {"additionalTextEdits": [{"newText": ", XLMRobertaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLMRobertaForSequenceClassification", "kind": 7, "label": "XLMRobertaForSequenceClassification (import transformers)", "sortText": "613"}, {"additionalTextEdits": [{"newText": ", XLMRobertaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLMRobertaForTokenClassification", "kind": 7, "label": "XLMRobertaForTokenClassification (import transformers)", "sortText": "614"}, {"additionalTextEdits": [{"newText": ", XLMRobertaXLForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLMRobertaXLForSequenceClassification", "kind": 7, "label": "XLMRobertaXLForSequenceClassification (import transformers)", "sortText": "615"}, {"additionalTextEdits": [{"newText": ", XLMRobertaXLForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLMRobertaXLForTokenClassification", "kind": 7, "label": "XLMRobertaXLForTokenClassification (import transformers)", "sortText": "616"}, {"additionalTextEdits": [{"newText": ", XLNetForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLNetForSequenceClassification", "kind": 7, "label": "XLNetForSequenceClassification (import transformers)", "sortText": "617"}, {"additionalTextEdits": [{"newText": ", XLNetForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLNetForTokenClassification", "kind": 7, "label": "XLNetForTokenClassification (import transformers)", "sortText": "618"}, {"additionalTextEdits": [{"newText": ", XmodForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XmodForSequenceClassification", "kind": 7, "label": "XmodForSequenceClassification (import transformers)", "sortText": "619"}, {"additionalTextEdits": [{"newText": ", XmodForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XmodForTokenClassification", "kind": 7, "label": "XmodForTokenClassification (import transformers)", "sortText": "620"}, {"additionalTextEdits": [{"newText": "from yaml import YAMLObjectMetaclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "YAMLObjectMetaclass", "kind": 7, "label": "YAMLObjectMetaclass (import yaml)", "sortText": "621"}, {"additionalTextEdits": [{"newText": ", YosoForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "YosoForSequenceClassification", "kind": 7, "label": "YosoForSequenceClassification (import transformers)", "sortText": "622"}, {"additionalTextEdits": [{"newText": ", YosoForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "YosoForTokenClassification", "kind": 7, "label": "YosoForTokenClassification (import transformers)", "sortText": "623"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import ZERO_SHOT_IMAGE_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZERO_SHOT_IMAGE_CLASSIFICATION_SAMPLE", "kind": 21, "label": "ZERO_SHOT_IMAGE_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "624"}, {"additionalTextEdits": [{"newText": ", Zamba2ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Zamba2ForSequenceClassification", "kind": 7, "label": "Zamba2ForSequenceClassification (import transformers)", "sortText": "625"}, {"additionalTextEdits": [{"newText": "from transformers.models.zamba2.modular_zamba2 import Zamba2ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Zamba2ForSequenceClassification", "kind": 7, "label": "Zamba2ForSequenceClassification (import transformers.models.zamba2.modular_zamba2)", "sortText": "626"}, {"additionalTextEdits": [{"newText": ", ZambaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ZambaForSequenceClassification", "kind": 7, "label": "ZambaForSequenceClassification (import transformers)", "sortText": "627"}, {"additionalTextEdits": [{"newText": ", ZeroShotAudioClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ZeroShotAudioClassificationPipeline", "kind": 6, "label": "ZeroShotAudioClassificationPipeline (import transformers)", "sortText": "628"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.zero_shot_audio_classification import ZeroShotAudioClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotAudioClassificationPipeline", "kind": 7, "label": "ZeroShotAudioClassificationPipeline (import transformers.pipelines.zero_shot_audio_classification)", "sortText": "629"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.zero_shot_classification import ZeroShotClassificationArgumentHandler\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotClassificationArgumentHandler", "kind": 7, "label": "ZeroShotClassificationArgumentHandler (import transformers.pipelines.zero_shot_classification)", "sortText": "630"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotClassificationInput", "kind": 6, "label": "ZeroShotClassificationInput (import huggingface_hub)", "sortText": "631"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotClassificationOutputElement", "kind": 6, "label": "ZeroShotClassificationOutputElement (import huggingface_hub)", "sortText": "632"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotClassificationParameters", "kind": 6, "label": "ZeroShotClassificationParameters (import huggingface_hub)", "sortText": "633"}, {"additionalTextEdits": [{"newText": ", ZeroShotClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ZeroShotClassificationPipeline", "kind": 6, "label": "ZeroShotClassificationPipeline (import transformers)", "sortText": "634"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.zero_shot_classification import ZeroShotClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotClassificationPipeline", "kind": 7, "label": "ZeroShotClassificationPipeline (import transformers.pipelines.zero_shot_classification)", "sortText": "635"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotImageClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotImageClassificationInput", "kind": 6, "label": "ZeroShotImageClassificationInput (import huggingface_hub)", "sortText": "636"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotImageClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotImageClassificationOutputElement", "kind": 6, "label": "ZeroShotImageClassificationOutputElement (import huggingface_hub)", "sortText": "637"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotImageClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotImageClassificationParameters", "kind": 6, "label": "ZeroShotImageClassificationParameters (import huggingface_hub)", "sortText": "638"}, {"additionalTextEdits": [{"newText": ", ZeroShotImageClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ZeroShotImageClassificationPipeline", "kind": 6, "label": "ZeroShotImageClassificationPipeline (import transformers)", "sortText": "639"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.zero_shot_image_classification import ZeroShotImageClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotImageClassificationPipeline", "kind": 7, "label": "ZeroShotImageClassificationPipeline (import transformers.pipelines.zero_shot_image_classification)", "sortText": "640"}, {"additionalTextEdits": [{"newText": "from transformers.utils.auto_docstring import auto_class_docstring\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "auto_class_docstring", "kind": 3, "label": "auto_class_docstring (import transformers.utils.auto_docstring)", "sortText": "641"}, {"additionalTextEdits": [{"newText": "from idna.idnadata import codepoint_classes\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "codepoint_classes", "kind": 6, "label": "codepoint_classes (import idna.idnadata)", "sortText": "642"}, {"additionalTextEdits": [{"newText": "from dataclasses import dataclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "dataclass", "kind": 3, "label": "dataclass (import dataclasses)", "sortText": "643"}, {"additionalTextEdits": [{"newText": "from typing_extensions import dataclass_transform\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "dataclass_transform", "kind": 3, "label": "dataclass_transform (import typing_extensions)", "sortText": "644"}, {"additionalTextEdits": [{"newText": "from logging.config import dictConfigClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "dictConfigClass", "kind": 6, "label": "dictConfigClass (import logging.config)", "sortText": "645"}, {"additionalTextEdits": [{"newText": "from transformers.commands.add_new_model_like import find_all_classes_from_file\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "find_all_classes_from_file", "kind": 3, "label": "find_all_classes_from_file (import transformers.commands.add_new_model_like)", "sortText": "646"}, {"additionalTextEdits": [{"newText": "from logging import getLoggerClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "getLoggerClass", "kind": 3, "label": "getLoggerClass (import logging)", "sortText": "647"}, {"additionalTextEdits": [{"newText": "from transformers.utils.auto_docstring import get_checkpoint_from_config_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "get_checkpoint_from_config_class", "kind": 3, "label": "get_checkpoint_from_config_class (import transformers.utils.auto_docstring)", "sortText": "648"}, {"additionalTextEdits": [{"newText": "from transformers.dynamic_module_utils import get_class_from_dynamic_module\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "get_class_from_dynamic_module", "kind": 3, "label": "get_class_from_dynamic_module (import transformers.dynamic_module_utils)", "sortText": "649"}, {"additionalTextEdits": [{"newText": "from transformers.dynamic_module_utils import get_class_in_module\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "get_class_in_module", "kind": 3, "label": "get_class_in_module (import transformers.dynamic_module_utils)", "sortText": "650"}, {"additionalTextEdits": [{"newText": "from fsspec import get_filesystem_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "get_filesystem_class", "kind": 3, "label": "get_filesystem_class (import fsspec)", "sortText": "651"}, {"additionalTextEdits": [{"newText": "from transformers.trainer_pt_utils import get_module_class_from_name\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "get_module_class_from_name", "kind": 3, "label": "get_module_class_from_name (import transformers.trainer_pt_utils)", "sortText": "652"}, {"additionalTextEdits": [{"newText": "from inspect import getclasstree\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "getclasstree", "kind": 3, "label": "getclasstree (import inspect)", "sortText": "653"}, {"additionalTextEdits": [{"newText": "from lib2to3.fixes.fix_metaclass import has_metaclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "has_metaclass", "kind": 3, "label": "has_metaclass (import lib2to3.fixes.fix_metaclass)", "sortText": "654"}, {"additionalTextEdits": [{"newText": "import huggingface_hub.dataclasses\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "huggingface_hub.dataclasses", "kind": 9, "label": "huggingface_hub.dataclasses (import huggingface_hub.dataclasses)", "sortText": "655"}, {"additionalTextEdits": [{"newText": "from dataclasses import is_dataclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "is_dataclass", "kind": 3, "label": "is_dataclass (import dataclasses)", "sortText": "656"}, {"additionalTextEdits": [{"newText": "from inspect import isclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "isclass", "kind": 3, "label": "isclass (import inspect)", "sortText": "657"}, {"additionalTextEdits": [{"newText": "import lib2to3.fixes.fix_metaclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "lib2to3.fixes.fix_metaclass", "kind": 9, "label": "lib2to3.fixes.fix_metaclass (import lib2to3.fixes.fix_metaclass)", "sortText": "658"}, {"additionalTextEdits": [{"newText": "from dataclasses import make_dataclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "make_dataclass", "kind": 3, "label": "make_dataclass (import dataclasses)", "sortText": "659"}, {"additionalTextEdits": [{"newText": "from types import new_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "new_class", "kind": 3, "label": "new_class (import types)", "sortText": "660"}, {"additionalTextEdits": [{"newText": "from types import prepare_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "prepare_class", "kind": 3, "label": "prepare_class (import types)", "sortText": "661"}, {"additionalTextEdits": [{"newText": "from logging import setLoggerClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "setLoggerClass", "kind": 3, "label": "setLoggerClass (import logging)", "sortText": "662"}, {"additionalTextEdits": [{"newText": "from unittest.util import strclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "strclass", "kind": 3, "label": "strclass (import unittest.util)", "sortText": "663"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.audio_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.audio_classification", "kind": 9, "label": "transformers.pipelines.audio_classification (import transformers.pipelines.audio_classification)", "sortText": "664"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.image_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.image_classification", "kind": 9, "label": "transformers.pipelines.image_classification (import transformers.pipelines.image_classification)", "sortText": "665"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.text_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.text_classification", "kind": 9, "label": "transformers.pipelines.text_classification (import transformers.pipelines.text_classification)", "sortText": "666"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.token_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.token_classification", "kind": 9, "label": "transformers.pipelines.token_classification (import transformers.pipelines.token_classification)", "sortText": "667"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.video_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.video_classification", "kind": 9, "label": "transformers.pipelines.video_classification (import transformers.pipelines.video_classification)", "sortText": "668"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.zero_shot_audio_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.zero_shot_audio_classification", "kind": 9, "label": "transformers.pipelines.zero_shot_audio_classification (import transformers.pipelines.zero_shot_audio_classification)", "sortText": "669"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.zero_shot_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.zero_shot_classification", "kind": 9, "label": "transformers.pipelines.zero_shot_classification (import transformers.pipelines.zero_shot_classification)", "sortText": "670"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.zero_shot_image_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.zero_shot_image_classification", "kind": 9, "label": "transformers.pipelines.zero_shot_image_classification (import transformers.pipelines.zero_shot_image_classification)", "sortText": "671"}, {"additionalTextEdits": [{"newText": "from socket import CAN_ISOTP_DEFAULT_EXT_ADDRESS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "CAN_ISOTP_DEFAULT_EXT_ADDRESS", "kind": 21, "label": "CAN_ISOTP_DEFAULT_EXT_ADDRESS (import socket)", "sortText": "672"}, {"additionalTextEdits": [{"newText": ", CLIPImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CLIPImageProcessor", "kind": 7, "label": "CLIPImageProcessor (import transformers)", "sortText": "673"}, {"additionalTextEdits": [{"newText": ", CLIPImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CLIPImageProcessorFast", "kind": 7, "label": "CLIPImageProcessorFast (import transformers)", "sortText": "674"}, {"additionalTextEdits": [{"newText": ", ChameleonImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ChameleonImageProcessor", "kind": 7, "label": "ChameleonImageProcessor (import transformers)", "sortText": "675"}, {"additionalTextEdits": [{"newText": ", ChameleonImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ChameleonImageProcessorFast", "kind": 7, "label": "ChameleonImageProcessorFast (import transformers)", "sortText": "676"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ChatCompletionInputResponseFormatJSONSchema\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ChatCompletionInputResponseFormatJSONSchema", "kind": 6, "label": "ChatCompletionInputResponseFormatJSONSchema (import huggingface_hub)", "sortText": "677"}, {"additionalTextEdits": [{"newText": ", ChineseCLIPImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ChineseCLIPImageProcessor", "kind": 7, "label": "ChineseCLIPImageProcessor (import transformers)", "sortText": "678"}, {"additionalTextEdits": [{"newText": ", ChineseCLIPImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ChineseCLIPImageProcessorFast", "kind": 7, "label": "ChineseCLIPImageProcessorFast (import transformers)", "sortText": "679"}, {"additionalTextEdits": [{"newText": ", ClapProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ClapProcessor", "kind": 7, "label": "ClapProcessor (import transformers)", "sortText": "680"}, {"additionalTextEdits": [{"newText": ", ColPaliProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ColPaliProcessor", "kind": 7, "label": "ColPaliProcessor (import transformers)", "sortText": "681"}, {"additionalTextEdits": [{"newText": "from transformers.models.colpali.modular_colpali import ColPaliProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ColPaliProcessor", "kind": 7, "label": "ColPaliProcessor (import transformers.models.colpali.modular_colpali)", "sortText": "682"}, {"additionalTextEdits": [{"newText": "from transformers.data.processors.glue import ColaProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ColaProcessor", "kind": 7, "label": "ColaProcessor (import transformers.data.processors.glue)", "sortText": "683"}, {"additionalTextEdits": [{"newText": ", ConditionalDetrImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ConditionalDetrImageProcessor", "kind": 7, "label": "ConditionalDetrImageProcessor (import transformers)", "sortText": "684"}, {"additionalTextEdits": [{"newText": ", ConditionalDetrImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ConditionalDetrImageProcessorFast", "kind": 7, "label": "ConditionalDetrImageProcessorFast (import transformers)", "sortText": "685"}, {"additionalTextEdits": [{"newText": "from transformers.models.conditional_detr.modular_conditional_detr import ConditionalDetrImageProcessorFast\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ConditionalDetrImageProcessorFast", "kind": 7, "label": "ConditionalDetrImageProcessorFast (import transformers.models.conditional_detr.modular_conditional_detr)", "sortText": "686"}, {"additionalTextEdits": [{"newText": ", DataCollatorForSeq2Seq", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DataCollatorForSeq2Seq", "kind": 7, "label": "DataCollatorForSeq2Seq (import transformers)", "sortText": "687"}, {"additionalTextEdits": [{"newText": "from transformers.tokenization_mistral_common import ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING", "kind": 21, "label": "ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING (import transformers.tokenization_mistral_common)", "sortText": "688"}, {"additionalTextEdits": [{"newText": "from transformers.tokenization_utils_base import ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING", "kind": 21, "label": "ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING (import transformers.tokenization_utils_base)", "sortText": "689"}, {"additionalTextEdits": [{"newText": ", EfficientLoFTRImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "EfficientLoFTRImageProcessor", "kind": 7, "label": "EfficientLoFTRImageProcessor (import transformers)", "sortText": "690"}, {"additionalTextEdits": [{"newText": ", EfficientLoFTRImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "EfficientLoFTRImageProcessorFast", "kind": 7, "label": "EfficientLoFTRImageProcessorFast (import transformers)", "sortText": "691"}, {"additionalTextEdits": [{"newText": "from asyncio.constants import FLOW_CONTROL_HIGH_WATER_SSL_READ\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "FLOW_CONTROL_HIGH_WATER_SSL_READ", "kind": 21, "label": "FLOW_CONTROL_HIGH_WATER_SSL_READ (import asyncio.constants)", "sortText": "692"}, {"additionalTextEdits": [{"newText": "from asyncio.constants import FLOW_CONTROL_HIGH_WATER_SSL_WRITE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "FLOW_CONTROL_HIGH_WATER_SSL_WRITE", "kind": 21, "label": "FLOW_CONTROL_HIGH_WATER_SSL_WRITE (import asyncio.constants)", "sortText": "693"}, {"additionalTextEdits": [{"newText": "from huggingface_hub.constants import HF_HUB_LOCAL_DIR_AUTO_SYMLINK_THRESHOLD\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HF_HUB_LOCAL_DIR_AUTO_SYMLINK_THRESHOLD", "kind": 21, "label": "HF_HUB_LOCAL_DIR_AUTO_SYMLINK_THRESHOLD (import huggingface_hub.constants)", "sortText": "694"}, {"additionalTextEdits": [{"newText": "from socket import HVSOCKET_ADDRESS_FLAG_PASSTHRU\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HVSOCKET_ADDRESS_FLAG_PASSTHRU", "kind": 21, "label": "HVSOCKET_ADDRESS_FLAG_PASSTHRU (import socket)", "sortText": "695"}, {"additionalTextEdits": [{"newText": ", InstructBlipVideoImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "InstructBlipVideoImageProcessor", "kind": 7, "label": "InstructBlipVideoImageProcessor (import transformers)", "sortText": "696"}, {"additionalTextEdits": [{"newText": ", LongcatFlashForCausalLM", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LongcatFlashForCausalLM", "kind": 7, "label": "LongcatFlashForCausalLM (import transformers)", "sortText": "697"}, {"additionalTextEdits": [{"newText": "from transformers.models.longcat_flash.modular_longcat_flash import LongcatFlashForCausalLM\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "LongcatFlashForCausalLM", "kind": 7, "label": "LongcatFlashForCausalLM (import transformers.models.longcat_flash.modular_longcat_flash)", "sortText": "698"}, {"additionalTextEdits": [{"newText": ", PerceptionLMImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "PerceptionLMImageProcessorFast", "kind": 7, "label": "PerceptionLMImageProcessorFast (import transformers)", "sortText": "699"}, {"additionalTextEdits": [{"newText": "from winreg import REG_NOTIFY_CHANGE_LAST_SET\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "REG_NOTIFY_CHANGE_LAST_SET", "kind": 21, "label": "REG_NOTIFY_CHANGE_LAST_SET (import winreg)", "sortText": "700"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_tf_utils import TFCausalLanguageModelingLoss\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TFCausalLanguageModelingLoss", "kind": 7, "label": "TFCausalLanguageModelingLoss (import transformers.modeling_tf_utils)", "sortText": "701"}, {"additionalTextEdits": [{"newText": "from transformers.commands.serving import TransformersCompletionCreateParamsStreaming\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TransformersCompletionCreateParamsStreaming", "kind": 7, "label": "TransformersCompletionCreateParamsStreaming (import transformers.commands.serving)", "sortText": "702"}, {"additionalTextEdits": [{"newText": "from codecs import backslashreplace_errors\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "backslashreplace_errors", "kind": 3, "label": "backslashreplace_errors (import codecs)", "sortText": "703"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import cancel_access_request\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "cancel_access_request", "kind": 6, "label": "cancel_access_request (import huggingface_hub)", "sortText": "704"}, {"additionalTextEdits": [{"newText": "from transformers.utils.import_utils import check_torch_load_is_safe\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "check_torch_load_is_safe", "kind": 3, "label": "check_torch_load_is_safe (import transformers.utils.import_utils)", "sortText": "705"}, {"additionalTextEdits": [{"newText": "from transformers.models.esm.openfold_utils.residue_constants import chi_angle_atoms_for_res\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "chi_angle_atoms_for_res", "kind": 6, "label": "chi_angle_atoms_for_res (import transformers.models.esm.openfold_utils.residue_constants)", "sortText": "706"}, {"additionalTextEdits": [{"newText": "from transformers.models.esm.openfold_utils.residue_constants import chi_angles_atom_indices_list\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "chi_angles_atom_indices_list", "kind": 6, "label": "chi_angles_atom_indices_list (import transformers.models.esm.openfold_utils.residue_constants)", "sortText": "707"}, {"additionalTextEdits": [{"newText": "from transformers.models.esm.openfold_utils.residue_constants import chi_angles_atom_indices_ours\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "chi_angles_atom_indices_ours", "kind": 6, "label": "chi_angles_atom_indices_ours (import transformers.models.esm.openfold_utils.residue_constants)", "sortText": "708"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines import clean_custom_task\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "clean_custom_task", "kind": 3, "label": "clean_custom_task (import transformers.pipelines)", "sortText": "709"}, {"additionalTextEdits": [{"newText": "from turtle import clearstamps\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "clearstamps", "kind": 3, "label": "clearstamps (import turtle)", "sortText": "710"}, {"additionalTextEdits": [{"newText": "from ipaddress import collapse_addresses\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "collapse_addresses", "kind": 3, "label": "collapse_addresses (import ipaddress)", "sortText": "711"}, {"additionalTextEdits": [{"newText": "from transformers.onnx.utils import compute_serialized_parameters_size\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "compute_serialized_parameters_size", "kind": 3, "label": "compute_serialized_parameters_size (import transformers.onnx.utils)", "sortText": "712"}, {"additionalTextEdits": [{"newText": "from transformers.integrations.tensor_parallel import convert_local_tensor_to_dtensor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "convert_local_tensor_to_dtensor", "kind": 3, "label": "convert_local_tensor_to_dtensor (import transformers.integrations.tensor_parallel)", "sortText": "713"}, {"additionalTextEdits": [{"newText": "from packaging.tags import create_compatible_tags_selector\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "create_compatible_tags_selector", "kind": 3, "label": "create_compatible_tags_selector (import packaging.tags)", "sortText": "714"}, {"additionalTextEdits": [{"newText": "from transformers.masking_utils import create_sliding_window_causal_mask\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "create_sliding_window_causal_mask", "kind": 3, "label": "create_sliding_window_causal_mask (import transformers.masking_utils)", "sortText": "715"}, {"additionalTextEdits": [{"newText": "import encodings.aliases\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "encodings.aliases", "kind": 9, "label": "encodings.aliases (import encodings.aliases)", "sortText": "716"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.asyn_wrapper\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.asyn_wrapper", "kind": 9, "label": "fsspec.implementations.asyn_wrapper (import fsspec.implementations.asyn_wrapper)", "sortText": "717"}, {"additionalTextEdits": [{"newText": "import 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{"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.gist", "kind": 9, "label": "fsspec.implementations.gist (import fsspec.implementations.gist)", "sortText": "721"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.http_sync\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.http_sync", "kind": 9, "label": "fsspec.implementations.http_sync (import fsspec.implementations.http_sync)", "sortText": "722"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.sftp\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.sftp", "kind": 9, "label": "fsspec.implementations.sftp (import fsspec.implementations.sftp)", "sortText": "723"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.smb\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.smb", "kind": 9, "label": "fsspec.implementations.smb (import fsspec.implementations.smb)", "sortText": "724"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.webhdfs\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.webhdfs", "kind": 9, "label": "fsspec.implementations.webhdfs (import fsspec.implementations.webhdfs)", "sortText": "725"}, {"additionalTextEdits": [{"newText": "import transformers.models.audio_spectrogram_transformer.modeling_audio_spectrogram_transformer\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.audio_spectrogram_transformer.modeling_audio_spectrogram_transformer", "kind": 9, "label": "transformers.models.audio_spectrogram_transformer.modeling_audio_spectrogram_transformer (import 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transformers.models.efficientloftr.image_processing_efficientloftr_fast)", "sortText": "741"}, {"additionalTextEdits": [{"newText": "import transformers.models.fastspeech2_conformer.modeling_fastspeech2_conformer\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.fastspeech2_conformer.modeling_fastspeech2_conformer", "kind": 9, "label": "transformers.models.fastspeech2_conformer.modeling_fastspeech2_conformer (import transformers.models.fastspeech2_conformer.modeling_fastspeech2_conformer)", "sortText": "742"}, {"additionalTextEdits": [{"newText": "import transformers.models.instructblipvideo.image_processing_instructblipvideo\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.instructblipvideo.image_processing_instructblipvideo", "kind": 9, "label": "transformers.models.instructblipvideo.image_processing_instructblipvideo (import transformers.models.instructblipvideo.image_processing_instructblipvideo)", "sortText": "743"}, {"additionalTextEdits": [{"newText": "import transformers.models.llava_onevision.image_processing_llava_onevision_fast\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.llava_onevision.image_processing_llava_onevision_fast", "kind": 9, "label": "transformers.models.llava_onevision.image_processing_llava_onevision_fast (import transformers.models.llava_onevision.image_processing_llava_onevision_fast)", "sortText": "744"}, {"additionalTextEdits": [{"newText": "import transformers.models.longcat_flash.configuration_longcat_flash\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.longcat_flash.configuration_longcat_flash", "kind": 9, "label": "transformers.models.longcat_flash.configuration_longcat_flash (import transformers.models.longcat_flash.configuration_longcat_flash)", "sortText": "745"}, {"additionalTextEdits": [{"newText": "import transformers.models.longcat_flash.modeling_longcat_flash\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.longcat_flash.modeling_longcat_flash", "kind": 9, "label": "transformers.models.longcat_flash.modeling_longcat_flash (import transformers.models.longcat_flash.modeling_longcat_flash)", "sortText": "746"}, {"additionalTextEdits": [{"newText": "import transformers.models.longcat_flash.modular_longcat_flash\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.longcat_flash.modular_longcat_flash", "kind": 9, "label": "transformers.models.longcat_flash.modular_longcat_flash (import transformers.models.longcat_flash.modular_longcat_flash)", "sortText": "747"}, {"additionalTextEdits": [{"newText": "import transformers.models.perception_lm.image_processing_perception_lm_fast\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.perception_lm.image_processing_perception_lm_fast", "kind": 9, "label": "transformers.models.perception_lm.image_processing_perception_lm_fast (import transformers.models.perception_lm.image_processing_perception_lm_fast)", "sortText": "748"}, {"additionalTextEdits": [{"newText": "import transformers.models.switch_transformers.modeling_switch_transformers\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.switch_transformers.modeling_switch_transformers", "kind": 9, "label": "transformers.models.switch_transformers.modeling_switch_transformers (import transformers.models.switch_transformers.modeling_switch_transformers)", "sortText": "749"}, {"additionalTextEdits": [{"newText": "import transformers.models.unispeech_sat.modular_unispeech_sat\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.unispeech_sat.modular_unispeech_sat", "kind": 9, "label": "transformers.models.unispeech_sat.modular_unispeech_sat (import transformers.models.unispeech_sat.modular_unispeech_sat)", "sortText": "750"}, {"additionalTextEdits": [{"newText": "from abc import abstractclassmethod\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "abstractclassmethod", "kind": 7, "label": "abstractclassmethod (import abc)", "sortText": "751"}, {"additionalTextEdits": [{"newText": "from _typeshed import DataclassInstance\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DataclassInstance", "kind": 7, "label": "DataclassInstance (import _typeshed)", "sortText": "752"}, {"detail": "def __build_class__(func: () -> CellType | Any, name: str, /, *bases: Any, metaclass: Any = ..., **kwds: Any) -> Any", "documentation": {"kind": "plaintext", "value": "__build_class__(func, name, /, *bases, [metaclass], **kwds) -> class\n\nInternal helper function used by the class statement.\n"}, "kind": 3, "label": "__build_class__", "sortText": "753"}, {"detail": "type[ModuleType]", "documentation": {"kind": "plaintext", "value": "Create a module object.\n\nThe name must be a string; the optional doc argument can have any type.\n"}, "kind": 7, "label": "__class__", "sortText": "754"}, {"detail": "bound method type[ModuleType].__init_subclass__() -> None", "kind": 2, "label": "__init_subclass__", "sortText": "755"}, {"detail": "bound method type[ModuleType].__subclasshook__(subclass: type, /) -> bool", "kind": 2, "label": "__subclasshook__", "sortText": "756"}, {"additionalTextEdits": [{"newText": "from python_lsp_compare.tsp_semantic_tokens import _classify_type_result\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_classify_type_result", "kind": 3, "label": "_classify_type_result (import python_lsp_compare.tsp_semantic_tokens)", "sortText": "757"}, {"additionalTextEdits": [{"newText": "from python_lsp_compare.runner import _effective_validation_thresholds\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_effective_validation_thresholds", "kind": 3, "label": "_effective_validation_thresholds (import python_lsp_compare.runner)", "sortText": "758"}, {"additionalTextEdits": [{"newText": "from sqlite3 import _AnyParamWindowAggregateClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_AnyParamWindowAggregateClass", "kind": 7, "label": "_AnyParamWindowAggregateClass (import sqlite3)", "sortText": "759"}, {"additionalTextEdits": [{"newText": "from urllib3.connectionpool import _DEFAULT_QUEUE_CLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_DEFAULT_QUEUE_CLASS", "kind": 21, "label": "_DEFAULT_QUEUE_CLASS (import urllib3.connectionpool)", "sortText": "760"}, {"additionalTextEdits": [{"newText": "from charset_normalizer.constant import _KNOWN_MB_CLASSES\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_KNOWN_MB_CLASSES", "kind": 21, "label": "_KNOWN_MB_CLASSES (import charset_normalizer.constant)", "sortText": "761"}, {"additionalTextEdits": [{"newText": "from unittest.runner import _ResultClassType\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_ResultClassType", "kind": 6, "label": "_ResultClassType (import unittest.runner)", "sortText": "762"}, {"additionalTextEdits": [{"newText": "from sqlite3 import _SingleParamWindowAggregateClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_SingleParamWindowAggregateClass", "kind": 7, "label": "_SingleParamWindowAggregateClass (import sqlite3)", "sortText": "763"}, {"additionalTextEdits": [{"newText": "from unittest.loader import _SuiteClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_SuiteClass", "kind": 6, "label": "_SuiteClass (import unittest.loader)", "sortText": "764"}, {"additionalTextEdits": [{"newText": "from sqlite3 import _WindowAggregateClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_WindowAggregateClass", "kind": 7, "label": "_WindowAggregateClass (import sqlite3)", "sortText": "765"}, {"additionalTextEdits": [{"newText": "from idna.core import _combining_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_combining_class", "kind": 3, "label": "_combining_class (import idna.core)", "sortText": "766"}, {"additionalTextEdits": [{"newText": "from transformers.utils.fx import _generate_supported_model_class_names\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_generate_supported_model_class_names", "kind": 3, "label": "_generate_supported_model_class_names (import transformers.utils.fx)", "sortText": "767"}, {"additionalTextEdits": [{"newText": "from huggingface_hub.hub_mixin import _load_dataclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_load_dataclass", "kind": 3, "label": "_load_dataclass (import huggingface_hub.hub_mixin)", "sortText": "768"}, {"additionalTextEdits": [{"newText": "from fsspec.spec import _registered_classes\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_registered_classes", "kind": 6, "label": "_registered_classes (import fsspec.spec)", "sortText": "769"}, {"additionalTextEdits": [{"newText": "from idna.core import _virama_combining_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_virama_combining_class", "kind": 6, "label": "_virama_combining_class (import idna.core)", "sortText": "770"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_rope_utils import _compute_linear_scaling_rope_parameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_compute_linear_scaling_rope_parameters", "kind": 3, "label": "_compute_linear_scaling_rope_parameters (import transformers.modeling_rope_utils)", "sortText": "771"}, {"additionalTextEdits": [{"newText": "from fsspec.asyn import _deferred_close_tasks\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_deferred_close_tasks", "kind": 6, "label": "_deferred_close_tasks (import fsspec.asyn)", "sortText": "772"}, {"additionalTextEdits": [{"newText": "from transformers.masking_utils import _ignore_causal_mask_sdpa\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_ignore_causal_mask_sdpa", "kind": 3, "label": "_ignore_causal_mask_sdpa (import transformers.masking_utils)", "sortText": "773"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_attn_mask_utils import _prepare_4d_causal_attention_mask_for_sdpa\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_prepare_4d_causal_attention_mask_for_sdpa", "kind": 3, "label": "_prepare_4d_causal_attention_mask_for_sdpa (import transformers.modeling_attn_mask_utils)", "sortText": "774"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_flash_attention_utils import _process_flash_attention_kwargs\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_process_flash_attention_kwargs", "kind": 3, "label": "_process_flash_attention_kwargs (import transformers.modeling_flash_attention_utils)", "sortText": "775"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_flash_attention_utils import _process_flash_kwargs_fn\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_process_flash_kwargs_fn", "kind": 6, "label": "_process_flash_kwargs_fn (import transformers.modeling_flash_attention_utils)", "sortText": "776"}]}}
 {"suite": "transformers", "label": "classifier pipeline completion", "method": "textDocument/completion", "file_path": "/home/runner/work/python-lsp-compare/python-lsp-compare/benchmarks/transformers/src/inference.py", "line": 15, "character": 19, "iteration": 3, "result": {"isIncomplete": true, "items": [{"detail": "Unknown", "documentation": {"kind": "plaintext", "value": "`Unknown` is a dynamic type inferred due to missing type information or an inference error.\n\nty infers `Unknown` for unannotated values with insufficient type information. It also uses it as a\nfallback after certain type errors. This contrasts with `Any`, which represents an *explicitly*\nannotated dynamic type. Like `Any`, however, it is a dynamic type, so ty allows any operation on it.\n"}, "label": "classifier", "sortText": "  0"}, {"additionalTextEdits": [{"newText": "import dataclasses\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "dataclasses", "kind": 9, "label": "dataclasses (import dataclasses)", "sortText": "  1"}, {"detail": "<class 'classmethod'>", "documentation": {"kind": "plaintext", "value": "Convert a function to be a class method.\n\nA class method receives the class as implicit first argument,\njust like an instance method receives the instance.\nTo declare a class method, use this idiom:\n\n  class C:\n      @classmethod\n      def f(cls, arg1, arg2, argN):\n          ...\n\nIt can be called either on the class (e.g. C.f()) or on an instance\n(e.g. C().f()).  The instance is ignored except for its class.\nIf a class method is called for a derived class, the derived class\nobject is passed as the implied first argument.\n\nClass methods are different than C++ or Java static methods.\nIf you want those, see the staticmethod builtin.\n"}, "kind": 7, "label": "classmethod", "sortText": "  2"}, {"detail": "def issubclass(cls: type, class_or_tuple: _ClassInfo, /) -> bool", "documentation": {"kind": "plaintext", "value": "Return whether 'cls' is derived from another class or is the same class.\n\nA tuple, as in ``issubclass(x, (A, B, ...))``, may be given as the\ntarget to check against.  This is equivalent to ``issubclass(x, A) or\nissubclass(x, B) or ...``.\n"}, "kind": 3, "label": "issubclass", "sortText": "  3"}, {"additionalTextEdits": [{"newText": "from python_lsp_compare.tsp_semantic_tokens import CLASS_MEMBER_MODIFIER\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "CLASS_MEMBER_MODIFIER", "kind": 21, "label": "CLASS_MEMBER_MODIFIER (import python_lsp_compare.tsp_semantic_tokens)", "sortText": "  4"}, {"additionalTextEdits": [{"newText": "from typing import ClassVar\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassVar", "kind": 6, "label": "ClassVar (import typing)", "sortText": "  5"}, {"additionalTextEdits": [{"newText": "from typing import dataclass_transform\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "dataclass_transform", "kind": 3, "label": "dataclass_transform (import typing)", "sortText": "  6"}, {"additionalTextEdits": [{"newText": "from msilib.schema import Class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Class", "kind": 6, "label": "Class (import msilib.schema)", "sortText": "  7"}, {"additionalTextEdits": [{"newText": "from pyclbr import Class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Class", "kind": 7, "label": "Class (import pyclbr)", "sortText": "  8"}, {"additionalTextEdits": [{"newText": "from symtable import Class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Class", "kind": 7, "label": "Class (import symtable)", "sortText": "  9"}, {"additionalTextEdits": [{"newText": "from transformers.utils.auto_docstring import ClassAttrs\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassAttrs", "kind": 7, "label": "ClassAttrs (import transformers.utils.auto_docstring)", "sortText": " 10"}, {"additionalTextEdits": [{"newText": "from ast import ClassDef\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassDef", "kind": 7, "label": "ClassDef (import ast)", "sortText": " 11"}, {"additionalTextEdits": [{"newText": "from transformers.utils.auto_docstring import ClassDocstring\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassDocstring", "kind": 7, "label": "ClassDocstring (import transformers.utils.auto_docstring)", "sortText": " 12"}, {"additionalTextEdits": [{"newText": "from transformers.commands.add_new_model_like import ClassFinder\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassFinder", "kind": 7, "label": "ClassFinder (import transformers.commands.add_new_model_like)", "sortText": " 13"}, {"additionalTextEdits": [{"newText": "from inspect import ClassFoundException\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassFoundException", "kind": 7, "label": "ClassFoundException (import inspect)", "sortText": " 14"}, {"additionalTextEdits": [{"newText": "from transformers.activations import ClassInstantier\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassInstantier", "kind": 7, "label": "ClassInstantier (import transformers.activations)", "sortText": " 15"}, {"additionalTextEdits": [{"newText": "from types import ClassMethodDescriptorType\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassMethodDescriptorType", "kind": 7, "label": "ClassMethodDescriptorType (import types)", "sortText": " 16"}, {"additionalTextEdits": [{"newText": "from typing_extensions import ClassVar\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassVar", "kind": 6, "label": "ClassVar (import typing_extensions)", "sortText": " 17"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.image_classification import ClassificationFunction\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassificationFunction", "kind": 7, "label": "ClassificationFunction (import transformers.pipelines.image_classification)", "sortText": " 18"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.text_classification import ClassificationFunction\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassificationFunction", "kind": 7, "label": "ClassificationFunction (import transformers.pipelines.text_classification)", "sortText": " 19"}, {"additionalTextEdits": [{"newText": ", ClassifierFreeGuidanceLogitsProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ClassifierFreeGuidanceLogitsProcessor", "kind": 6, "label": "ClassifierFreeGuidanceLogitsProcessor (import transformers)", "sortText": " 20"}, {"additionalTextEdits": [{"newText": "from transformers.generation.logits_process import ClassifierFreeGuidanceLogitsProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassifierFreeGuidanceLogitsProcessor", "kind": 7, "label": "ClassifierFreeGuidanceLogitsProcessor (import transformers.generation.logits_process)", "sortText": " 21"}, {"additionalTextEdits": [{"newText": "from transformers.utils.dummy_pt_objects import ClassifierFreeGuidanceLogitsProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ClassifierFreeGuidanceLogitsProcessor", "kind": 7, "label": "ClassifierFreeGuidanceLogitsProcessor (import transformers.utils.dummy_pt_objects)", "sortText": " 22"}, {"additionalTextEdits": [{"newText": "from inspect import classify_class_attrs\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "classify_class_attrs", "kind": 3, "label": "classify_class_attrs (import inspect)", "sortText": " 23"}, {"additionalTextEdits": [{"newText": "from subprocess import ABOVE_NORMAL_PRIORITY_CLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ABOVE_NORMAL_PRIORITY_CLASS", "kind": 21, "label": "ABOVE_NORMAL_PRIORITY_CLASS (import subprocess)", "sortText": " 24"}, {"additionalTextEdits": [{"newText": ", ASTForAudioClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ASTForAudioClassification", "kind": 7, "label": "ASTForAudioClassification (import transformers)", "sortText": " 25"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import AUDIO_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AUDIO_CLASSIFICATION_SAMPLE", "kind": 21, "label": "AUDIO_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": " 26"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import AUDIO_FRAME_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AUDIO_FRAME_CLASSIFICATION_SAMPLE", "kind": 21, "label": "AUDIO_FRAME_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": " 27"}, {"additionalTextEdits": [{"newText": "from transformers.processing_utils import AUTO_TO_BASE_CLASS_MAPPING\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AUTO_TO_BASE_CLASS_MAPPING", "kind": 21, "label": "AUTO_TO_BASE_CLASS_MAPPING (import transformers.processing_utils)", "sortText": " 28"}, {"additionalTextEdits": [{"newText": ", AlbertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AlbertForSequenceClassification", "kind": 7, "label": "AlbertForSequenceClassification (import transformers)", "sortText": " 29"}, {"additionalTextEdits": [{"newText": ", AlbertForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AlbertForTokenClassification", "kind": 7, "label": "AlbertForTokenClassification (import transformers)", "sortText": " 30"}, {"additionalTextEdits": [{"newText": "from transformers.models.apertus import ApertusForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ApertusForTokenClassification", "kind": 7, "label": "ApertusForTokenClassification (import transformers.models.apertus)", "sortText": " 31"}, {"additionalTextEdits": [{"newText": "from transformers.models.apertus.modular_apertus import ApertusForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ApertusForTokenClassification", "kind": 7, "label": "ApertusForTokenClassification (import transformers.models.apertus.modular_apertus)", "sortText": " 32"}, {"additionalTextEdits": [{"newText": ", ArceeForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ArceeForSequenceClassification", "kind": 7, "label": "ArceeForSequenceClassification (import transformers)", "sortText": " 33"}, {"additionalTextEdits": [{"newText": "from transformers.models.arcee.modular_arcee import ArceeForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ArceeForSequenceClassification", "kind": 7, "label": "ArceeForSequenceClassification (import transformers.models.arcee.modular_arcee)", "sortText": " 34"}, {"additionalTextEdits": [{"newText": ", ArceeForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ArceeForTokenClassification", "kind": 7, "label": "ArceeForTokenClassification (import transformers)", "sortText": " 35"}, {"additionalTextEdits": [{"newText": "from transformers.models.arcee.modular_arcee import ArceeForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ArceeForTokenClassification", "kind": 7, "label": "ArceeForTokenClassification (import transformers.models.arcee.modular_arcee)", "sortText": " 36"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import AudioClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AudioClassificationInput", "kind": 6, "label": "AudioClassificationInput (import huggingface_hub)", "sortText": " 37"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import AudioClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AudioClassificationOutputElement", "kind": 6, "label": "AudioClassificationOutputElement (import huggingface_hub)", "sortText": " 38"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import AudioClassificationOutputTransform\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AudioClassificationOutputTransform", "kind": 6, "label": "AudioClassificationOutputTransform (import huggingface_hub)", "sortText": " 39"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import AudioClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AudioClassificationParameters", "kind": 6, "label": "AudioClassificationParameters (import huggingface_hub)", "sortText": " 40"}, {"additionalTextEdits": [{"newText": ", AudioClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AudioClassificationPipeline", "kind": 6, "label": "AudioClassificationPipeline (import transformers)", "sortText": " 41"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.audio_classification import AudioClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "AudioClassificationPipeline", "kind": 7, "label": "AudioClassificationPipeline (import transformers.pipelines.audio_classification)", "sortText": " 42"}, {"additionalTextEdits": [{"newText": ", AutoModelForAudioClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForAudioClassification", "kind": 7, "label": "AutoModelForAudioClassification (import transformers)", "sortText": " 43"}, {"additionalTextEdits": [{"newText": ", AutoModelForAudioFrameClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForAudioFrameClassification", "kind": 7, "label": "AutoModelForAudioFrameClassification (import transformers)", "sortText": " 44"}, {"additionalTextEdits": [{"newText": ", AutoModelForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForImageClassification", "kind": 7, "label": "AutoModelForImageClassification (import transformers)", "sortText": " 45"}, {"additionalTextEdits": [{"newText": ", AutoModelForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForSequenceClassification", "kind": 7, "label": "AutoModelForSequenceClassification (import transformers)", "sortText": " 46"}, {"additionalTextEdits": [{"newText": ", AutoModelForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForTokenClassification", "kind": 7, "label": "AutoModelForTokenClassification (import transformers)", "sortText": " 47"}, {"additionalTextEdits": [{"newText": ", AutoModelForVideoClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForVideoClassification", "kind": 7, "label": "AutoModelForVideoClassification (import transformers)", "sortText": " 48"}, {"additionalTextEdits": [{"newText": ", AutoModelForZeroShotImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "AutoModelForZeroShotImageClassification", "kind": 7, "label": "AutoModelForZeroShotImageClassification (import transformers)", "sortText": " 49"}, {"additionalTextEdits": [{"newText": "from subprocess import BELOW_NORMAL_PRIORITY_CLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "BELOW_NORMAL_PRIORITY_CLASS", "kind": 21, "label": "BELOW_NORMAL_PRIORITY_CLASS (import subprocess)", "sortText": " 50"}, {"additionalTextEdits": [{"newText": ", BartForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BartForSequenceClassification", "kind": 7, "label": "BartForSequenceClassification (import transformers)", "sortText": " 51"}, {"additionalTextEdits": [{"newText": ", BeitForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BeitForImageClassification", "kind": 7, "label": "BeitForImageClassification (import transformers)", "sortText": " 52"}, {"additionalTextEdits": [{"newText": ", BertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BertForSequenceClassification", "kind": 7, "label": "BertForSequenceClassification (import transformers)", "sortText": " 53"}, {"additionalTextEdits": [{"newText": ", BertForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BertForTokenClassification", "kind": 7, "label": "BertForTokenClassification (import transformers)", "sortText": " 54"}, {"additionalTextEdits": [{"newText": ", BigBirdForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BigBirdForSequenceClassification", "kind": 7, "label": "BigBirdForSequenceClassification (import transformers)", "sortText": " 55"}, {"additionalTextEdits": [{"newText": ", BigBirdForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BigBirdForTokenClassification", "kind": 7, "label": "BigBirdForTokenClassification (import transformers)", "sortText": " 56"}, {"additionalTextEdits": [{"newText": ", BigBirdPegasusForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BigBirdPegasusForSequenceClassification", "kind": 7, "label": "BigBirdPegasusForSequenceClassification (import transformers)", "sortText": " 57"}, {"additionalTextEdits": [{"newText": ", BioGptForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BioGptForSequenceClassification", "kind": 7, "label": "BioGptForSequenceClassification (import transformers)", "sortText": " 58"}, {"additionalTextEdits": [{"newText": "from transformers.models.biogpt.modular_biogpt import BioGptForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "BioGptForSequenceClassification", "kind": 7, "label": "BioGptForSequenceClassification (import transformers.models.biogpt.modular_biogpt)", "sortText": " 59"}, {"additionalTextEdits": [{"newText": ", BioGptForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BioGptForTokenClassification", "kind": 7, "label": "BioGptForTokenClassification (import transformers)", "sortText": " 60"}, {"additionalTextEdits": [{"newText": "from transformers.models.biogpt.modular_biogpt import BioGptForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "BioGptForTokenClassification", "kind": 7, "label": "BioGptForTokenClassification (import transformers.models.biogpt.modular_biogpt)", "sortText": " 61"}, {"additionalTextEdits": [{"newText": ", BitForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BitForImageClassification", "kind": 7, "label": "BitForImageClassification (import transformers)", "sortText": " 62"}, {"additionalTextEdits": [{"newText": ", BloomForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BloomForSequenceClassification", "kind": 7, "label": "BloomForSequenceClassification (import transformers)", "sortText": " 63"}, {"additionalTextEdits": [{"newText": ", BloomForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BloomForTokenClassification", "kind": 7, "label": "BloomForTokenClassification (import transformers)", "sortText": " 64"}, {"additionalTextEdits": [{"newText": ", BrosForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BrosForTokenClassification", "kind": 7, "label": "BrosForTokenClassification (import transformers)", "sortText": " 65"}, {"additionalTextEdits": [{"newText": ", BrosSpadeEEForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BrosSpadeEEForTokenClassification", "kind": 7, "label": "BrosSpadeEEForTokenClassification (import transformers)", "sortText": " 66"}, {"additionalTextEdits": [{"newText": ", BrosSpadeELForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "BrosSpadeELForTokenClassification", "kind": 7, "label": "BrosSpadeELForTokenClassification (import transformers)", "sortText": " 67"}, {"additionalTextEdits": [{"newText": ", CLIPForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CLIPForImageClassification", "kind": 7, "label": "CLIPForImageClassification (import transformers)", "sortText": " 68"}, {"additionalTextEdits": [{"newText": ", CTRLForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CTRLForSequenceClassification", "kind": 7, "label": "CTRLForSequenceClassification (import transformers)", "sortText": " 69"}, {"additionalTextEdits": [{"newText": ", CamembertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CamembertForSequenceClassification", "kind": 7, "label": "CamembertForSequenceClassification (import transformers)", "sortText": " 70"}, {"additionalTextEdits": [{"newText": ", CamembertForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CamembertForTokenClassification", "kind": 7, "label": "CamembertForTokenClassification (import transformers)", "sortText": " 71"}, {"additionalTextEdits": [{"newText": ", CanineForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CanineForSequenceClassification", "kind": 7, "label": "CanineForSequenceClassification (import transformers)", "sortText": " 72"}, {"additionalTextEdits": [{"newText": ", CanineForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CanineForTokenClassification", "kind": 7, "label": "CanineForTokenClassification (import transformers)", "sortText": " 73"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ChatCompletionInputToolChoiceClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ChatCompletionInputToolChoiceClass", "kind": 6, "label": "ChatCompletionInputToolChoiceClass (import huggingface_hub)", "sortText": " 74"}, {"additionalTextEdits": [{"newText": ", ConvBertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ConvBertForSequenceClassification", "kind": 7, "label": "ConvBertForSequenceClassification (import transformers)", "sortText": " 75"}, {"additionalTextEdits": [{"newText": ", ConvBertForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ConvBertForTokenClassification", "kind": 7, "label": "ConvBertForTokenClassification (import transformers)", "sortText": " 76"}, {"additionalTextEdits": [{"newText": ", ConvNextForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ConvNextForImageClassification", "kind": 7, "label": "ConvNextForImageClassification (import transformers)", "sortText": " 77"}, {"additionalTextEdits": [{"newText": ", ConvNextV2ForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ConvNextV2ForImageClassification", "kind": 7, "label": "ConvNextV2ForImageClassification (import transformers)", "sortText": " 78"}, {"additionalTextEdits": [{"newText": ", CvtForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CvtForImageClassification", "kind": 7, "label": "CvtForImageClassification (import transformers)", "sortText": " 79"}, {"additionalTextEdits": [{"newText": ", Data2VecAudioForAudioFrameClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Data2VecAudioForAudioFrameClassification", "kind": 7, "label": "Data2VecAudioForAudioFrameClassification (import transformers)", "sortText": " 80"}, {"additionalTextEdits": [{"newText": "from transformers.models.data2vec.modular_data2vec_audio import Data2VecAudioForAudioFrameClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Data2VecAudioForAudioFrameClassification", "kind": 7, "label": "Data2VecAudioForAudioFrameClassification (import transformers.models.data2vec.modular_data2vec_audio)", "sortText": " 81"}, {"additionalTextEdits": [{"newText": ", Data2VecAudioForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Data2VecAudioForSequenceClassification", "kind": 7, "label": "Data2VecAudioForSequenceClassification (import transformers)", "sortText": " 82"}, {"additionalTextEdits": [{"newText": "from transformers.models.data2vec.modular_data2vec_audio import Data2VecAudioForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Data2VecAudioForSequenceClassification", "kind": 7, "label": "Data2VecAudioForSequenceClassification (import transformers.models.data2vec.modular_data2vec_audio)", "sortText": " 83"}, {"additionalTextEdits": [{"newText": ", Data2VecTextForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Data2VecTextForSequenceClassification", "kind": 7, "label": "Data2VecTextForSequenceClassification (import transformers)", "sortText": " 84"}, {"additionalTextEdits": [{"newText": ", Data2VecTextForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Data2VecTextForTokenClassification", "kind": 7, "label": "Data2VecTextForTokenClassification (import transformers)", "sortText": " 85"}, {"additionalTextEdits": [{"newText": ", Data2VecVisionForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Data2VecVisionForImageClassification", "kind": 7, "label": "Data2VecVisionForImageClassification (import transformers)", "sortText": " 86"}, {"additionalTextEdits": [{"newText": "from transformers.hf_argparser import DataClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DataClass", "kind": 6, "label": "DataClass (import transformers.hf_argparser)", "sortText": " 87"}, {"additionalTextEdits": [{"newText": "from transformers.hf_argparser import DataClassType\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DataClassType", "kind": 6, "label": "DataClassType (import transformers.hf_argparser)", "sortText": " 88"}, {"additionalTextEdits": [{"newText": ", DataCollatorForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DataCollatorForTokenClassification", "kind": 7, "label": "DataCollatorForTokenClassification (import transformers)", "sortText": " 89"}, {"additionalTextEdits": [{"newText": "from huggingface_hub.hub_mixin import DataclassInstance\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DataclassInstance", "kind": 7, "label": "DataclassInstance (import huggingface_hub.hub_mixin)", "sortText": " 90"}, {"additionalTextEdits": [{"newText": ", DebertaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DebertaForSequenceClassification", "kind": 7, "label": "DebertaForSequenceClassification (import transformers)", "sortText": " 91"}, {"additionalTextEdits": [{"newText": ", DebertaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DebertaForTokenClassification", "kind": 7, "label": "DebertaForTokenClassification (import transformers)", "sortText": " 92"}, {"additionalTextEdits": [{"newText": ", DebertaV2ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DebertaV2ForSequenceClassification", "kind": 7, "label": "DebertaV2ForSequenceClassification (import transformers)", "sortText": " 93"}, {"additionalTextEdits": [{"newText": ", DebertaV2ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DebertaV2ForTokenClassification", "kind": 7, "label": "DebertaV2ForTokenClassification (import transformers)", "sortText": " 94"}, {"additionalTextEdits": [{"newText": ", DeepseekV2ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DeepseekV2ForSequenceClassification", "kind": 7, "label": "DeepseekV2ForSequenceClassification (import transformers)", "sortText": " 95"}, {"additionalTextEdits": [{"newText": "from transformers.models.deepseek_v2.modular_deepseek_v2 import DeepseekV2ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DeepseekV2ForSequenceClassification", "kind": 7, "label": "DeepseekV2ForSequenceClassification (import transformers.models.deepseek_v2.modular_deepseek_v2)", "sortText": " 96"}, {"additionalTextEdits": [{"newText": ", DeepseekV3ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DeepseekV3ForSequenceClassification", "kind": 7, "label": "DeepseekV3ForSequenceClassification (import transformers)", "sortText": " 97"}, {"additionalTextEdits": [{"newText": "from transformers.models.deepseek_v3.modular_deepseek_v3 import DeepseekV3ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DeepseekV3ForSequenceClassification", "kind": 7, "label": "DeepseekV3ForSequenceClassification (import transformers.models.deepseek_v3.modular_deepseek_v3)", "sortText": " 98"}, {"additionalTextEdits": [{"newText": ", DeepseekV3ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DeepseekV3ForTokenClassification", "kind": 7, "label": "DeepseekV3ForTokenClassification (import transformers)", "sortText": " 99"}, {"additionalTextEdits": [{"newText": "from transformers.models.deepseek_v3.modular_deepseek_v3 import DeepseekV3ForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DeepseekV3ForTokenClassification", "kind": 7, "label": "DeepseekV3ForTokenClassification (import transformers.models.deepseek_v3.modular_deepseek_v3)", "sortText": "100"}, {"additionalTextEdits": [{"newText": ", DeiTForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DeiTForImageClassification", "kind": 7, "label": "DeiTForImageClassification (import transformers)", "sortText": "101"}, {"additionalTextEdits": [{"newText": ", DeiTForImageClassificationWithTeacher", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DeiTForImageClassificationWithTeacher", "kind": 7, "label": "DeiTForImageClassificationWithTeacher (import transformers)", "sortText": "102"}, {"additionalTextEdits": [{"newText": "from transformers.generation.logits_process import DiaClassifierFreeGuidanceLogitsProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DiaClassifierFreeGuidanceLogitsProcessor", "kind": 7, "label": "DiaClassifierFreeGuidanceLogitsProcessor (import transformers.generation.logits_process)", "sortText": "103"}, {"additionalTextEdits": [{"newText": ", DiffLlamaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DiffLlamaForSequenceClassification", "kind": 7, "label": "DiffLlamaForSequenceClassification (import transformers)", "sortText": "104"}, {"additionalTextEdits": [{"newText": "from transformers.models.diffllama.modular_diffllama import DiffLlamaForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DiffLlamaForSequenceClassification", "kind": 7, "label": "DiffLlamaForSequenceClassification (import transformers.models.diffllama.modular_diffllama)", "sortText": "105"}, {"additionalTextEdits": [{"newText": ", DiffLlamaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DiffLlamaForTokenClassification", "kind": 7, "label": "DiffLlamaForTokenClassification (import transformers)", "sortText": "106"}, {"additionalTextEdits": [{"newText": "from transformers.models.diffllama.modular_diffllama import DiffLlamaForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DiffLlamaForTokenClassification", "kind": 7, "label": "DiffLlamaForTokenClassification (import transformers.models.diffllama.modular_diffllama)", "sortText": "107"}, {"additionalTextEdits": [{"newText": ", DinatForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DinatForImageClassification", "kind": 7, "label": "DinatForImageClassification (import transformers)", "sortText": "108"}, {"additionalTextEdits": [{"newText": ", Dinov2ForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Dinov2ForImageClassification", "kind": 7, "label": "Dinov2ForImageClassification (import transformers)", "sortText": "109"}, {"additionalTextEdits": [{"newText": ", Dinov2WithRegistersForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Dinov2WithRegistersForImageClassification", "kind": 7, "label": "Dinov2WithRegistersForImageClassification (import transformers)", "sortText": "110"}, {"additionalTextEdits": [{"newText": "from transformers.models.dinov2_with_registers.modular_dinov2_with_registers import Dinov2WithRegistersForImageClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Dinov2WithRegistersForImageClassification", "kind": 7, "label": "Dinov2WithRegistersForImageClassification (import transformers.models.dinov2_with_registers.modular_dinov2_with_registers)", "sortText": "111"}, {"additionalTextEdits": [{"newText": ", DistilBertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DistilBertForSequenceClassification", "kind": 7, "label": "DistilBertForSequenceClassification (import transformers)", "sortText": "112"}, {"additionalTextEdits": [{"newText": ", DistilBertForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DistilBertForTokenClassification", "kind": 7, "label": "DistilBertForTokenClassification (import transformers)", "sortText": "113"}, {"additionalTextEdits": [{"newText": "from distutils.errors import DistutilsClassError\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DistutilsClassError", "kind": 7, "label": "DistutilsClassError (import distutils.errors)", "sortText": "114"}, {"additionalTextEdits": [{"newText": "from ctypes import DllGetClassObject\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DllGetClassObject", "kind": 3, "label": "DllGetClassObject (import ctypes)", "sortText": "115"}, {"additionalTextEdits": [{"newText": "from transformers.models.doge import DogeForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DogeForSequenceClassification", "kind": 7, "label": "DogeForSequenceClassification (import transformers.models.doge)", "sortText": "116"}, {"additionalTextEdits": [{"newText": "from transformers.models.doge.modular_doge import DogeForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DogeForSequenceClassification", "kind": 7, "label": "DogeForSequenceClassification (import transformers.models.doge.modular_doge)", "sortText": "117"}, {"additionalTextEdits": [{"newText": ", DonutSwinForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DonutSwinForImageClassification", "kind": 7, "label": "DonutSwinForImageClassification (import transformers)", "sortText": "118"}, {"additionalTextEdits": [{"newText": "from types import DynamicClassAttribute\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "DynamicClassAttribute", "kind": 7, "label": "DynamicClassAttribute (import types)", "sortText": "119"}, {"additionalTextEdits": [{"newText": ", EfficientFormerForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "EfficientFormerForImageClassification", "kind": 7, "label": "EfficientFormerForImageClassification (import transformers)", "sortText": "120"}, {"additionalTextEdits": [{"newText": ", EfficientFormerForImageClassificationWithTeacher", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "EfficientFormerForImageClassificationWithTeacher", "kind": 7, "label": "EfficientFormerForImageClassificationWithTeacher (import transformers)", "sortText": "121"}, {"additionalTextEdits": [{"newText": ", EfficientNetForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "EfficientNetForImageClassification", "kind": 7, "label": "EfficientNetForImageClassification (import transformers)", "sortText": "122"}, {"additionalTextEdits": [{"newText": ", ElectraForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ElectraForSequenceClassification", "kind": 7, "label": "ElectraForSequenceClassification (import transformers)", "sortText": "123"}, {"additionalTextEdits": [{"newText": ", ElectraForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ElectraForTokenClassification", "kind": 7, "label": "ElectraForTokenClassification (import transformers)", "sortText": "124"}, {"additionalTextEdits": [{"newText": ", ErnieForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ErnieForSequenceClassification", "kind": 7, "label": "ErnieForSequenceClassification (import transformers)", "sortText": "125"}, {"additionalTextEdits": [{"newText": ", ErnieForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ErnieForTokenClassification", "kind": 7, "label": "ErnieForTokenClassification (import transformers)", "sortText": "126"}, {"additionalTextEdits": [{"newText": ", ErnieMForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ErnieMForSequenceClassification", "kind": 7, "label": "ErnieMForSequenceClassification (import transformers)", "sortText": "127"}, {"additionalTextEdits": [{"newText": ", ErnieMForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ErnieMForTokenClassification", "kind": 7, "label": "ErnieMForTokenClassification (import 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transformers.models.exaone4.modular_exaone4 import Exaone4ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Exaone4ForSequenceClassification", "kind": 7, "label": "Exaone4ForSequenceClassification (import transformers.models.exaone4.modular_exaone4)", "sortText": "132"}, {"additionalTextEdits": [{"newText": ", Exaone4ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Exaone4ForTokenClassification", "kind": 7, "label": "Exaone4ForTokenClassification (import transformers)", "sortText": "133"}, {"additionalTextEdits": [{"newText": "from transformers.models.exaone4.modular_exaone4 import Exaone4ForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Exaone4ForTokenClassification", "kind": 7, "label": "Exaone4ForTokenClassification (import 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"kind": 21, "label": "FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING (import transformers)", "sortText": "137"}, {"additionalTextEdits": [{"newText": ", FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING", "kind": 21, "label": "FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING (import transformers)", "sortText": "138"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import FLAX_SEQUENCE_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "FLAX_SEQUENCE_CLASSIFICATION_SAMPLE", "kind": 21, "label": "FLAX_SEQUENCE_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "139"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import FLAX_TOKEN_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "FLAX_TOKEN_CLASSIFICATION_SAMPLE", "kind": 21, "label": "FLAX_TOKEN_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "140"}, {"additionalTextEdits": [{"newText": ", FNetForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "FNetForSequenceClassification", "kind": 7, "label": "FNetForSequenceClassification (import transformers)", "sortText": "141"}, {"additionalTextEdits": [{"newText": ", FNetForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "FNetForTokenClassification", "kind": 7, "label": "FNetForTokenClassification (import transformers)", "sortText": "142"}, {"additionalTextEdits": [{"newText": ", FalconForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "FalconForSequenceClassification", "kind": 7, "label": "FalconForSequenceClassification (import transformers)", "sortText": "143"}, {"additionalTextEdits": [{"newText": ", FalconForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "FalconForTokenClassification", "kind": 7, "label": "FalconForTokenClassification (import transformers)", "sortText": "144"}, {"additionalTextEdits": [{"newText": "from lib2to3.fixes.fix_metaclass import FixMetaclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "FixMetaclass", "kind": 7, "label": "FixMetaclass (import lib2to3.fixes.fix_metaclass)", "sortText": "145"}, {"additionalTextEdits": [{"newText": ", FlaubertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "FlaubertForSequenceClassification", "kind": 7, "label": "FlaubertForSequenceClassification (import transformers)", 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0}}}], "insertText": "HFProxyableClassMeta", "kind": 7, "label": "HFProxyableClassMeta (import transformers.utils.fx)", "sortText": "224"}, {"additionalTextEdits": [{"newText": ", HGNetV2ForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HGNetV2ForImageClassification", "kind": 7, "label": "HGNetV2ForImageClassification (import transformers)", "sortText": "225"}, {"additionalTextEdits": [{"newText": "from transformers.models.hgnet_v2.modular_hgnet_v2 import HGNetV2ForImageClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HGNetV2ForImageClassification", "kind": 7, "label": "HGNetV2ForImageClassification (import transformers.models.hgnet_v2.modular_hgnet_v2)", "sortText": "226"}, {"additionalTextEdits": [{"newText": "from subprocess import HIGH_PRIORITY_CLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HIGH_PRIORITY_CLASS", "kind": 21, "label": "HIGH_PRIORITY_CLASS (import subprocess)", "sortText": "227"}, {"additionalTextEdits": [{"newText": "from winreg import HKEY_CLASSES_ROOT\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HKEY_CLASSES_ROOT", "kind": 21, "label": "HKEY_CLASSES_ROOT (import winreg)", "sortText": "228"}, {"additionalTextEdits": [{"newText": ", HeliumForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HeliumForSequenceClassification", "kind": 7, "label": "HeliumForSequenceClassification (import transformers)", "sortText": "229"}, {"additionalTextEdits": [{"newText": "from transformers.models.helium.modular_helium import HeliumForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HeliumForSequenceClassification", "kind": 7, "label": "HeliumForSequenceClassification (import transformers.models.helium.modular_helium)", "sortText": "230"}, {"additionalTextEdits": [{"newText": ", HeliumForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HeliumForTokenClassification", "kind": 7, "label": "HeliumForTokenClassification (import transformers)", "sortText": "231"}, {"additionalTextEdits": [{"newText": "from transformers.models.helium.modular_helium import HeliumForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HeliumForTokenClassification", "kind": 7, "label": "HeliumForTokenClassification (import transformers.models.helium.modular_helium)", "sortText": "232"}, {"additionalTextEdits": [{"newText": ", HieraForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HieraForImageClassification", "kind": 7, "label": "HieraForImageClassification (import transformers)", "sortText": "233"}, {"additionalTextEdits": [{"newText": ", HubertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HubertForSequenceClassification", "kind": 7, "label": "HubertForSequenceClassification (import transformers)", "sortText": "234"}, {"additionalTextEdits": [{"newText": "from transformers.models.hubert.modular_hubert import HubertForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HubertForSequenceClassification", "kind": 7, "label": "HubertForSequenceClassification (import transformers.models.hubert.modular_hubert)", "sortText": "235"}, {"additionalTextEdits": [{"newText": ", HunYuanDenseV1ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "HunYuanDenseV1ForSequenceClassification", "kind": 7, "label": "HunYuanDenseV1ForSequenceClassification (import transformers)", "sortText": "236"}, {"additionalTextEdits": [{"newText": "from transformers.models.hunyuan_v1_dense.modular_hunyuan_v1_dense import HunYuanDenseV1ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HunYuanDenseV1ForSequenceClassification", "kind": 7, "label": "HunYuanDenseV1ForSequenceClassification (import transformers.models.hunyuan_v1_dense.modular_hunyuan_v1_dense)", "sortText": "237"}, {"additionalTextEdits": [{"newText": "from transformers.models.hunyuan_v1_moe.modeling_hunyuan_v1_moe import HunYuanMoEV1ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HunYuanMoEV1ForSequenceClassification", "kind": 7, "label": "HunYuanMoEV1ForSequenceClassification (import transformers.models.hunyuan_v1_moe.modeling_hunyuan_v1_moe)", "sortText": "238"}, {"additionalTextEdits": [{"newText": "from transformers.models.hunyuan_v1_moe.modular_hunyuan_v1_moe import HunYuanMoEV1ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HunYuanMoEV1ForSequenceClassification", "kind": 7, "label": "HunYuanMoEV1ForSequenceClassification (import transformers.models.hunyuan_v1_moe.modular_hunyuan_v1_moe)", "sortText": "239"}, {"additionalTextEdits": [{"newText": ", IBertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "IBertForSequenceClassification", "kind": 7, "label": "IBertForSequenceClassification (import transformers)", "sortText": "240"}, {"additionalTextEdits": [{"newText": ", IBertForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "IBertForTokenClassification", "kind": 7, "label": "IBertForTokenClassification (import transformers)", "sortText": "241"}, {"additionalTextEdits": [{"newText": "from subprocess import IDLE_PRIORITY_CLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "IDLE_PRIORITY_CLASS", "kind": 21, "label": "IDLE_PRIORITY_CLASS (import subprocess)", "sortText": "242"}, {"additionalTextEdits": [{"newText": ", IJepaForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "IJepaForImageClassification", "kind": 7, "label": "IJepaForImageClassification (import transformers)", "sortText": "243"}, {"additionalTextEdits": [{"newText": "from transformers.models.ijepa.modular_ijepa import IJepaForImageClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "IJepaForImageClassification", "kind": 7, "label": "IJepaForImageClassification (import transformers.models.ijepa.modular_ijepa)", "sortText": "244"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import IMAGE_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "IMAGE_CLASSIFICATION_SAMPLE", "kind": 21, "label": "IMAGE_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "245"}, {"additionalTextEdits": [{"newText": "from socket import IPV6_RECVTCLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "IPV6_RECVTCLASS", "kind": 6, "label": "IPV6_RECVTCLASS (import socket)", "sortText": "246"}, {"additionalTextEdits": [{"newText": "from socket import IPV6_TCLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "IPV6_TCLASS", "kind": 6, "label": "IPV6_TCLASS (import socket)", "sortText": "247"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ImageClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassificationInput", "kind": 6, "label": "ImageClassificationInput (import huggingface_hub)", "sortText": "248"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ImageClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassificationOutputElement", "kind": 6, "label": "ImageClassificationOutputElement (import huggingface_hub)", "sortText": "249"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ImageClassificationOutputTransform\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassificationOutputTransform", "kind": 6, "label": "ImageClassificationOutputTransform (import huggingface_hub)", "sortText": "250"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ImageClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassificationParameters", "kind": 6, "label": "ImageClassificationParameters (import huggingface_hub)", "sortText": "251"}, {"additionalTextEdits": [{"newText": ", ImageClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ImageClassificationPipeline", "kind": 6, "label": "ImageClassificationPipeline (import transformers)", "sortText": "252"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.image_classification import ImageClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassificationPipeline", "kind": 7, "label": "ImageClassificationPipeline (import transformers.pipelines.image_classification)", "sortText": "253"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_outputs import ImageClassifierOutput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassifierOutput", "kind": 7, "label": "ImageClassifierOutput (import transformers.modeling_outputs)", "sortText": "254"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_outputs import ImageClassifierOutputWithNoAttention\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ImageClassifierOutputWithNoAttention", "kind": 7, "label": "ImageClassifierOutputWithNoAttention (import transformers.modeling_outputs)", "sortText": "255"}, {"additionalTextEdits": [{"newText": ", ImageGPTForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ImageGPTForImageClassification", "kind": 7, "label": "ImageGPTForImageClassification (import transformers)", "sortText": "256"}, {"additionalTextEdits": [{"newText": "from transformers.data.data_collator import InputDataClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "InputDataClass", "kind": 6, "label": "InputDataClass (import transformers.data.data_collator)", "sortText": "257"}, {"additionalTextEdits": [{"newText": ", JambaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "JambaForSequenceClassification", "kind": 7, "label": "JambaForSequenceClassification (import transformers)", "sortText": "258"}, {"additionalTextEdits": [{"newText": ", JetMoeForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "JetMoeForSequenceClassification", "kind": 7, "label": "JetMoeForSequenceClassification (import transformers)", "sortText": "259"}, {"additionalTextEdits": [{"newText": ", LEDForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LEDForSequenceClassification", "kind": 7, "label": "LEDForSequenceClassification (import transformers)", "sortText": "260"}, {"additionalTextEdits": [{"newText": ", LayoutLMForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LayoutLMForSequenceClassification", "kind": 7, "label": "LayoutLMForSequenceClassification (import transformers)", "sortText": "261"}, {"additionalTextEdits": [{"newText": ", LayoutLMForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LayoutLMForTokenClassification", "kind": 7, "label": "LayoutLMForTokenClassification (import transformers)", "sortText": "262"}, {"additionalTextEdits": [{"newText": ", LayoutLMv2ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LayoutLMv2ForSequenceClassification", "kind": 7, "label": "LayoutLMv2ForSequenceClassification (import transformers)", "sortText": "263"}, {"additionalTextEdits": [{"newText": ", LayoutLMv2ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LayoutLMv2ForTokenClassification", "kind": 7, "label": "LayoutLMv2ForTokenClassification (import transformers)", "sortText": "264"}, {"additionalTextEdits": [{"newText": ", LayoutLMv3ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LayoutLMv3ForSequenceClassification", "kind": 7, "label": "LayoutLMv3ForSequenceClassification (import transformers)", "sortText": "265"}, {"additionalTextEdits": [{"newText": ", LayoutLMv3ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LayoutLMv3ForTokenClassification", "kind": 7, "label": "LayoutLMv3ForTokenClassification (import transformers)", "sortText": "266"}, {"additionalTextEdits": [{"newText": ", LevitForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LevitForImageClassification", "kind": 7, "label": "LevitForImageClassification (import transformers)", "sortText": "267"}, {"additionalTextEdits": [{"newText": ", LevitForImageClassificationWithTeacher", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LevitForImageClassificationWithTeacher", "kind": 7, "label": "LevitForImageClassificationWithTeacher (import transformers)", "sortText": "268"}, {"additionalTextEdits": [{"newText": ", LiltForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LiltForSequenceClassification", "kind": 7, "label": "LiltForSequenceClassification (import transformers)", "sortText": "269"}, {"additionalTextEdits": [{"newText": ", LiltForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LiltForTokenClassification", "kind": 7, "label": "LiltForTokenClassification (import transformers)", "sortText": "270"}, {"additionalTextEdits": [{"newText": ", LlamaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LlamaForSequenceClassification", "kind": 7, "label": "LlamaForSequenceClassification (import transformers)", "sortText": "271"}, {"additionalTextEdits": [{"newText": ", LlamaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LlamaForTokenClassification", "kind": 7, "label": "LlamaForTokenClassification (import transformers)", "sortText": "272"}, {"additionalTextEdits": [{"newText": ", LongformerForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LongformerForSequenceClassification", "kind": 7, "label": "LongformerForSequenceClassification (import transformers)", "sortText": "273"}, {"additionalTextEdits": [{"newText": ", LongformerForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LongformerForTokenClassification", "kind": 7, "label": "LongformerForTokenClassification (import transformers)", "sortText": "274"}, {"additionalTextEdits": [{"newText": ", LukeForEntityClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LukeForEntityClassification", "kind": 7, "label": "LukeForEntityClassification (import transformers)", "sortText": "275"}, {"additionalTextEdits": [{"newText": ", LukeForEntityPairClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LukeForEntityPairClassification", "kind": 7, "label": "LukeForEntityPairClassification (import transformers)", "sortText": "276"}, {"additionalTextEdits": [{"newText": ", LukeForEntitySpanClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LukeForEntitySpanClassification", "kind": 7, "label": "LukeForEntitySpanClassification (import transformers)", "sortText": "277"}, {"additionalTextEdits": [{"newText": ", LukeForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LukeForSequenceClassification", "kind": 7, "label": "LukeForSequenceClassification (import transformers)", "sortText": "278"}, {"additionalTextEdits": [{"newText": ", LukeForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LukeForTokenClassification", "kind": 7, "label": "LukeForTokenClassification (import transformers)", "sortText": "279"}, {"additionalTextEdits": [{"newText": ", MBartForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MBartForSequenceClassification", "kind": 7, "label": "MBartForSequenceClassification (import transformers)", "sortText": "280"}, {"additionalTextEdits": [{"newText": ", MMBTForClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MMBTForClassification", "kind": 7, "label": "MMBTForClassification (import transformers)", "sortText": "281"}, {"additionalTextEdits": [{"newText": "from transformers.data.datasets.squad import MODEL_CONFIG_CLASSES\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "MODEL_CONFIG_CLASSES", "kind": 21, "label": "MODEL_CONFIG_CLASSES (import transformers.data.datasets.squad)", "sortText": "282"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING (import transformers)", "sortText": "283"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING (import transformers)", "sortText": "284"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING (import transformers)", "sortText": "285"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING (import transformers)", "sortText": "286"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_TIME_SERIES_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_TIME_SERIES_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_TIME_SERIES_CLASSIFICATION_MAPPING (import transformers)", "sortText": "287"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING (import transformers)", "sortText": "288"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING (import transformers)", "sortText": "289"}, {"additionalTextEdits": [{"newText": ", MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING", "kind": 21, "label": "MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING (import transformers)", "sortText": "290"}, {"additionalTextEdits": [{"newText": ", MPNetForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MPNetForSequenceClassification", "kind": 7, "label": "MPNetForSequenceClassification (import transformers)", "sortText": "291"}, {"additionalTextEdits": [{"newText": ", MPNetForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MPNetForTokenClassification", "kind": 7, "label": "MPNetForTokenClassification (import transformers)", "sortText": "292"}, {"additionalTextEdits": [{"newText": ", MT5ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MT5ForSequenceClassification", "kind": 7, "label": "MT5ForSequenceClassification (import transformers)", "sortText": "293"}, {"additionalTextEdits": [{"newText": ", MT5ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MT5ForTokenClassification", "kind": 7, "label": "MT5ForTokenClassification (import transformers)", "sortText": "294"}, {"additionalTextEdits": [{"newText": ", MarkupLMForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MarkupLMForSequenceClassification", "kind": 7, "label": "MarkupLMForSequenceClassification (import transformers)", "sortText": "295"}, {"additionalTextEdits": [{"newText": ", MarkupLMForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "MarkupLMForTokenClassification", "kind": 7, "label": "MarkupLMForTokenClassification (import transformers)", "sortText": "296"}, {"additionalTextEdits": [{"newText": "from ast import MatchClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "MatchClass", "kind": 7, "label": "MatchClass (import ast)", "sortText": "297"}, {"additionalTextEdits": [{"newText": ", 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"Seq2SeqSequenceClassifierOutput", "kind": 7, "label": "Seq2SeqSequenceClassifierOutput (import transformers.modeling_outputs)", "sortText": "417"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_outputs import SequenceClassifierOutput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "SequenceClassifierOutput", "kind": 7, "label": "SequenceClassifierOutput (import transformers.modeling_outputs)", "sortText": "418"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_outputs import SequenceClassifierOutputWithPast\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "SequenceClassifierOutputWithPast", "kind": 7, "label": "SequenceClassifierOutputWithPast (import transformers.modeling_outputs)", "sortText": "419"}, {"additionalTextEdits": [{"newText": ", ShieldGemma2ForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": 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"sortText": "434"}, {"additionalTextEdits": [{"newText": "from transformers.models.starcoder2.modular_starcoder2 import Starcoder2ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Starcoder2ForSequenceClassification", "kind": 7, "label": "Starcoder2ForSequenceClassification (import transformers.models.starcoder2.modular_starcoder2)", "sortText": "435"}, {"additionalTextEdits": [{"newText": ", Starcoder2ForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Starcoder2ForTokenClassification", "kind": 7, "label": "Starcoder2ForTokenClassification (import transformers)", "sortText": "436"}, {"additionalTextEdits": [{"newText": "from transformers.models.starcoder2.modular_starcoder2 import Starcoder2ForTokenClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": 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"sortText": "537"}, {"additionalTextEdits": [{"newText": ", TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING", "kind": 21, "label": "TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING (import transformers)", "sortText": "538"}, {"additionalTextEdits": [{"newText": ", TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING", "kind": 21, "label": "TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING (import transformers)", "sortText": "539"}, {"additionalTextEdits": [{"newText": ", TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING", "kind": 21, "label": "TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING (import transformers)", "sortText": "540"}, {"additionalTextEdits": [{"newText": ", TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING", "kind": 21, "label": "TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING (import transformers)", "sortText": "541"}, {"additionalTextEdits": [{"newText": ", TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING", "kind": 21, "label": "TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING (import transformers)", "sortText": "542"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import TF_SEQUENCE_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TF_SEQUENCE_CLASSIFICATION_SAMPLE", "kind": 21, "label": "TF_SEQUENCE_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "543"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import TF_TOKEN_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TF_TOKEN_CLASSIFICATION_SAMPLE", "kind": 21, "label": "TF_TOKEN_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "544"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import TF_VISION_SEQ_CLASS_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TF_VISION_SEQ_CLASS_SAMPLE", "kind": 21, "label": "TF_VISION_SEQ_CLASS_SAMPLE (import transformers.utils.doc)", "sortText": "545"}, {"additionalTextEdits": [{"newText": "from transformers.convert_slow_tokenizers_checkpoints_to_fast import TOKENIZER_CLASSES\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TOKENIZER_CLASSES", "kind": 21, "label": "TOKENIZER_CLASSES (import transformers.convert_slow_tokenizers_checkpoints_to_fast)", "sortText": "546"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import TOKEN_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TOKEN_CLASSIFICATION_SAMPLE", "kind": 21, "label": "TOKEN_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "547"}, {"additionalTextEdits": [{"newText": ", TapasForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TapasForSequenceClassification", "kind": 7, "label": "TapasForSequenceClassification (import transformers)", "sortText": "548"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TextClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TextClassificationInput", "kind": 6, "label": "TextClassificationInput (import huggingface_hub)", "sortText": "549"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TextClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TextClassificationOutputElement", "kind": 6, "label": "TextClassificationOutputElement (import huggingface_hub)", "sortText": "550"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TextClassificationOutputTransform\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TextClassificationOutputTransform", "kind": 6, "label": "TextClassificationOutputTransform (import huggingface_hub)", "sortText": "551"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TextClassificationParameters\n", "range": {"end": 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"line": 0}}}], "insertText": "TokenClassificationAggregationStrategy", "kind": 6, "label": "TokenClassificationAggregationStrategy (import huggingface_hub)", "sortText": "558"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.token_classification import TokenClassificationArgumentHandler\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassificationArgumentHandler", "kind": 7, "label": "TokenClassificationArgumentHandler (import transformers.pipelines.token_classification)", "sortText": "559"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TokenClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassificationInput", "kind": 6, "label": "TokenClassificationInput (import huggingface_hub)", "sortText": "560"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TokenClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassificationOutputElement", "kind": 6, "label": "TokenClassificationOutputElement (import huggingface_hub)", "sortText": "561"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import TokenClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassificationParameters", "kind": 6, "label": "TokenClassificationParameters (import huggingface_hub)", "sortText": "562"}, {"additionalTextEdits": [{"newText": ", TokenClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TokenClassificationPipeline", "kind": 6, "label": "TokenClassificationPipeline (import transformers)", "sortText": "563"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.token_classification import TokenClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassificationPipeline", "kind": 7, "label": "TokenClassificationPipeline (import transformers.pipelines.token_classification)", "sortText": "564"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_outputs import TokenClassifierOutput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TokenClassifierOutput", "kind": 7, "label": "TokenClassifierOutput (import transformers.modeling_outputs)", "sortText": "565"}, {"additionalTextEdits": [{"newText": ", TransfoXLForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "TransfoXLForSequenceClassification", "kind": 7, "label": "TransfoXLForSequenceClassification (import transformers)", "sortText": "566"}, {"additionalTextEdits": [{"newText": ", TvltForAudioVisualClassification", "range": 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{"character": 0, "line": 0}}}], "insertText": "UNROLL_KWARGS_CLASSES", "kind": 21, "label": "UNROLL_KWARGS_CLASSES (import transformers.utils.auto_docstring)", "sortText": "570"}, {"additionalTextEdits": [{"newText": ", UnbatchedClassifierFreeGuidanceLogitsProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "UnbatchedClassifierFreeGuidanceLogitsProcessor", "kind": 6, "label": "UnbatchedClassifierFreeGuidanceLogitsProcessor (import transformers)", "sortText": "571"}, {"additionalTextEdits": [{"newText": "from transformers.generation.logits_process import UnbatchedClassifierFreeGuidanceLogitsProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "UnbatchedClassifierFreeGuidanceLogitsProcessor", "kind": 7, "label": "UnbatchedClassifierFreeGuidanceLogitsProcessor (import transformers.generation.logits_process)", "sortText": "572"}, {"additionalTextEdits": [{"newText": "from transformers.utils.dummy_pt_objects import UnbatchedClassifierFreeGuidanceLogitsProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "UnbatchedClassifierFreeGuidanceLogitsProcessor", "kind": 7, "label": "UnbatchedClassifierFreeGuidanceLogitsProcessor (import transformers.utils.dummy_pt_objects)", "sortText": "573"}, {"additionalTextEdits": [{"newText": ", UniSpeechForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "UniSpeechForSequenceClassification", "kind": 7, "label": "UniSpeechForSequenceClassification (import transformers)", "sortText": "574"}, {"additionalTextEdits": [{"newText": "from transformers.models.unispeech.modular_unispeech import UniSpeechForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "UniSpeechForSequenceClassification", "kind": 7, "label": 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{"additionalTextEdits": [{"newText": ", VJEPA2ForVideoClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "VJEPA2ForVideoClassification", "kind": 7, "label": "VJEPA2ForVideoClassification (import transformers)", "sortText": "581"}, {"additionalTextEdits": [{"newText": ", VanForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "VanForImageClassification", "kind": 7, "label": "VanForImageClassification (import transformers)", "sortText": "582"}, {"additionalTextEdits": [{"newText": ", ViTForImageClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ViTForImageClassification", "kind": 7, "label": "ViTForImageClassification (import transformers)", "sortText": "583"}, {"additionalTextEdits": [{"newText": ", ViTHybridForImageClassification", "range": {"end": {"character": 33, "line": 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"insertText": "VideoClassificationOutputElement", "kind": 6, "label": "VideoClassificationOutputElement (import huggingface_hub)", "sortText": "587"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import VideoClassificationOutputTransform\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "VideoClassificationOutputTransform", "kind": 6, "label": "VideoClassificationOutputTransform (import huggingface_hub)", "sortText": "588"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import VideoClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "VideoClassificationParameters", "kind": 6, "label": "VideoClassificationParameters (import huggingface_hub)", "sortText": "589"}, {"additionalTextEdits": [{"newText": ", VideoClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "VideoClassificationPipeline", "kind": 6, "label": "VideoClassificationPipeline (import transformers)", "sortText": "590"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.video_classification import VideoClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "VideoClassificationPipeline", "kind": 7, "label": "VideoClassificationPipeline (import transformers.pipelines.video_classification)", "sortText": "591"}, {"additionalTextEdits": [{"newText": ", VideoMAEForVideoClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "VideoMAEForVideoClassification", "kind": 7, "label": "VideoMAEForVideoClassification (import transformers)", "sortText": "592"}, {"additionalTextEdits": [{"newText": ", ViltForImagesAndTextClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], 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"Wav2Vec2BertForAudioFrameClassification (import transformers)", "sortText": "596"}, {"additionalTextEdits": [{"newText": "from transformers.models.wav2vec2_bert.modular_wav2vec2_bert import Wav2Vec2BertForAudioFrameClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Wav2Vec2BertForAudioFrameClassification", "kind": 7, "label": "Wav2Vec2BertForAudioFrameClassification (import transformers.models.wav2vec2_bert.modular_wav2vec2_bert)", "sortText": "597"}, {"additionalTextEdits": [{"newText": ", Wav2Vec2BertForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Wav2Vec2BertForSequenceClassification", "kind": 7, "label": "Wav2Vec2BertForSequenceClassification (import transformers)", "sortText": "598"}, {"additionalTextEdits": [{"newText": "from transformers.models.wav2vec2_bert.modular_wav2vec2_bert import Wav2Vec2BertForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Wav2Vec2BertForSequenceClassification", "kind": 7, "label": "Wav2Vec2BertForSequenceClassification (import transformers.models.wav2vec2_bert.modular_wav2vec2_bert)", "sortText": "599"}, {"additionalTextEdits": [{"newText": ", Wav2Vec2ConformerForAudioFrameClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Wav2Vec2ConformerForAudioFrameClassification", "kind": 7, "label": "Wav2Vec2ConformerForAudioFrameClassification (import transformers)", "sortText": "600"}, {"additionalTextEdits": [{"newText": "from transformers.models.wav2vec2_conformer.modular_wav2vec2_conformer import Wav2Vec2ConformerForAudioFrameClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Wav2Vec2ConformerForAudioFrameClassification", "kind": 7, "label": "Wav2Vec2ConformerForAudioFrameClassification (import transformers.models.wav2vec2_conformer.modular_wav2vec2_conformer)", "sortText": "601"}, {"additionalTextEdits": [{"newText": ", Wav2Vec2ConformerForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Wav2Vec2ConformerForSequenceClassification", "kind": 7, "label": "Wav2Vec2ConformerForSequenceClassification (import transformers)", "sortText": "602"}, {"additionalTextEdits": [{"newText": "from transformers.models.wav2vec2_conformer.modular_wav2vec2_conformer import Wav2Vec2ConformerForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Wav2Vec2ConformerForSequenceClassification", "kind": 7, "label": "Wav2Vec2ConformerForSequenceClassification (import transformers.models.wav2vec2_conformer.modular_wav2vec2_conformer)", "sortText": "603"}, {"additionalTextEdits": [{"newText": ", Wav2Vec2ForAudioFrameClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Wav2Vec2ForAudioFrameClassification", "kind": 7, "label": "Wav2Vec2ForAudioFrameClassification (import transformers)", "sortText": "604"}, {"additionalTextEdits": [{"newText": ", Wav2Vec2ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Wav2Vec2ForSequenceClassification", "kind": 7, "label": "Wav2Vec2ForSequenceClassification (import transformers)", "sortText": "605"}, {"additionalTextEdits": [{"newText": ", WavLMForAudioFrameClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "WavLMForAudioFrameClassification", "kind": 7, "label": "WavLMForAudioFrameClassification (import transformers)", "sortText": "606"}, {"additionalTextEdits": [{"newText": "from transformers.models.wavlm.modular_wavlm import WavLMForAudioFrameClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "WavLMForAudioFrameClassification", "kind": 7, "label": "WavLMForAudioFrameClassification (import transformers.models.wavlm.modular_wavlm)", "sortText": "607"}, {"additionalTextEdits": [{"newText": ", WavLMForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "WavLMForSequenceClassification", "kind": 7, "label": "WavLMForSequenceClassification (import transformers)", "sortText": "608"}, {"additionalTextEdits": [{"newText": "from transformers.models.wavlm.modular_wavlm import WavLMForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "WavLMForSequenceClassification", "kind": 7, "label": "WavLMForSequenceClassification (import 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XLMRobertaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLMRobertaForSequenceClassification", "kind": 7, "label": "XLMRobertaForSequenceClassification (import transformers)", "sortText": "613"}, {"additionalTextEdits": [{"newText": ", XLMRobertaForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLMRobertaForTokenClassification", "kind": 7, "label": "XLMRobertaForTokenClassification (import transformers)", "sortText": "614"}, {"additionalTextEdits": [{"newText": ", XLMRobertaXLForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLMRobertaXLForSequenceClassification", "kind": 7, "label": "XLMRobertaXLForSequenceClassification (import transformers)", "sortText": "615"}, {"additionalTextEdits": [{"newText": ", XLMRobertaXLForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLMRobertaXLForTokenClassification", "kind": 7, "label": "XLMRobertaXLForTokenClassification (import transformers)", "sortText": "616"}, {"additionalTextEdits": [{"newText": ", XLNetForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLNetForSequenceClassification", "kind": 7, "label": "XLNetForSequenceClassification (import transformers)", "sortText": "617"}, {"additionalTextEdits": [{"newText": ", XLNetForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XLNetForTokenClassification", "kind": 7, "label": "XLNetForTokenClassification (import transformers)", "sortText": "618"}, {"additionalTextEdits": [{"newText": ", XmodForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XmodForSequenceClassification", "kind": 7, "label": "XmodForSequenceClassification (import transformers)", "sortText": "619"}, {"additionalTextEdits": [{"newText": ", XmodForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "XmodForTokenClassification", "kind": 7, "label": "XmodForTokenClassification (import transformers)", "sortText": "620"}, {"additionalTextEdits": [{"newText": "from yaml import YAMLObjectMetaclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "YAMLObjectMetaclass", "kind": 7, "label": "YAMLObjectMetaclass (import yaml)", "sortText": "621"}, {"additionalTextEdits": [{"newText": ", YosoForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "YosoForSequenceClassification", "kind": 7, "label": "YosoForSequenceClassification (import transformers)", "sortText": "622"}, {"additionalTextEdits": [{"newText": ", YosoForTokenClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "YosoForTokenClassification", "kind": 7, "label": "YosoForTokenClassification (import transformers)", "sortText": "623"}, {"additionalTextEdits": [{"newText": "from transformers.utils.doc import ZERO_SHOT_IMAGE_CLASSIFICATION_SAMPLE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZERO_SHOT_IMAGE_CLASSIFICATION_SAMPLE", "kind": 21, "label": "ZERO_SHOT_IMAGE_CLASSIFICATION_SAMPLE (import transformers.utils.doc)", "sortText": "624"}, {"additionalTextEdits": [{"newText": ", Zamba2ForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "Zamba2ForSequenceClassification", "kind": 7, "label": "Zamba2ForSequenceClassification (import transformers)", "sortText": "625"}, {"additionalTextEdits": [{"newText": "from transformers.models.zamba2.modular_zamba2 import Zamba2ForSequenceClassification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "Zamba2ForSequenceClassification", "kind": 7, "label": "Zamba2ForSequenceClassification (import transformers.models.zamba2.modular_zamba2)", "sortText": "626"}, {"additionalTextEdits": [{"newText": ", ZambaForSequenceClassification", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ZambaForSequenceClassification", "kind": 7, "label": "ZambaForSequenceClassification (import transformers)", "sortText": "627"}, {"additionalTextEdits": [{"newText": ", ZeroShotAudioClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ZeroShotAudioClassificationPipeline", "kind": 6, "label": "ZeroShotAudioClassificationPipeline (import transformers)", "sortText": "628"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.zero_shot_audio_classification import ZeroShotAudioClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotAudioClassificationPipeline", "kind": 7, "label": "ZeroShotAudioClassificationPipeline (import transformers.pipelines.zero_shot_audio_classification)", "sortText": "629"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.zero_shot_classification import ZeroShotClassificationArgumentHandler\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotClassificationArgumentHandler", "kind": 7, "label": "ZeroShotClassificationArgumentHandler (import transformers.pipelines.zero_shot_classification)", "sortText": "630"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotClassificationInput", "kind": 6, "label": "ZeroShotClassificationInput (import huggingface_hub)", "sortText": "631"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotClassificationOutputElement", "kind": 6, "label": "ZeroShotClassificationOutputElement (import huggingface_hub)", "sortText": "632"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotClassificationParameters", "kind": 6, "label": "ZeroShotClassificationParameters (import huggingface_hub)", "sortText": "633"}, {"additionalTextEdits": [{"newText": ", ZeroShotClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ZeroShotClassificationPipeline", "kind": 6, "label": "ZeroShotClassificationPipeline (import transformers)", "sortText": "634"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.zero_shot_classification import ZeroShotClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotClassificationPipeline", "kind": 7, "label": "ZeroShotClassificationPipeline (import transformers.pipelines.zero_shot_classification)", "sortText": "635"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotImageClassificationInput\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotImageClassificationInput", "kind": 6, "label": "ZeroShotImageClassificationInput (import huggingface_hub)", "sortText": "636"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotImageClassificationOutputElement\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotImageClassificationOutputElement", "kind": 6, "label": "ZeroShotImageClassificationOutputElement (import huggingface_hub)", "sortText": "637"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ZeroShotImageClassificationParameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotImageClassificationParameters", "kind": 6, "label": "ZeroShotImageClassificationParameters (import huggingface_hub)", "sortText": "638"}, {"additionalTextEdits": [{"newText": ", ZeroShotImageClassificationPipeline", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ZeroShotImageClassificationPipeline", "kind": 6, "label": "ZeroShotImageClassificationPipeline (import transformers)", "sortText": "639"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines.zero_shot_image_classification import ZeroShotImageClassificationPipeline\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ZeroShotImageClassificationPipeline", "kind": 7, "label": "ZeroShotImageClassificationPipeline (import transformers.pipelines.zero_shot_image_classification)", "sortText": "640"}, {"additionalTextEdits": [{"newText": "from transformers.utils.auto_docstring import auto_class_docstring\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "auto_class_docstring", "kind": 3, "label": "auto_class_docstring (import transformers.utils.auto_docstring)", "sortText": "641"}, {"additionalTextEdits": [{"newText": "from idna.idnadata import codepoint_classes\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "codepoint_classes", "kind": 6, "label": "codepoint_classes (import idna.idnadata)", "sortText": "642"}, {"additionalTextEdits": [{"newText": "from dataclasses import dataclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "dataclass", "kind": 3, "label": "dataclass (import dataclasses)", "sortText": "643"}, {"additionalTextEdits": [{"newText": "from typing_extensions import dataclass_transform\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "dataclass_transform", "kind": 3, "label": "dataclass_transform (import typing_extensions)", "sortText": "644"}, {"additionalTextEdits": [{"newText": "from logging.config import dictConfigClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "dictConfigClass", "kind": 6, "label": "dictConfigClass (import logging.config)", "sortText": "645"}, {"additionalTextEdits": [{"newText": "from transformers.commands.add_new_model_like import find_all_classes_from_file\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "find_all_classes_from_file", "kind": 3, "label": "find_all_classes_from_file (import transformers.commands.add_new_model_like)", "sortText": "646"}, {"additionalTextEdits": [{"newText": "from logging import getLoggerClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "getLoggerClass", "kind": 3, "label": "getLoggerClass (import logging)", "sortText": "647"}, {"additionalTextEdits": [{"newText": "from transformers.utils.auto_docstring import get_checkpoint_from_config_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "get_checkpoint_from_config_class", "kind": 3, "label": "get_checkpoint_from_config_class (import transformers.utils.auto_docstring)", "sortText": "648"}, {"additionalTextEdits": [{"newText": "from transformers.dynamic_module_utils import get_class_from_dynamic_module\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "get_class_from_dynamic_module", "kind": 3, "label": "get_class_from_dynamic_module (import transformers.dynamic_module_utils)", "sortText": "649"}, {"additionalTextEdits": [{"newText": "from transformers.dynamic_module_utils import get_class_in_module\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "get_class_in_module", "kind": 3, "label": "get_class_in_module (import transformers.dynamic_module_utils)", "sortText": "650"}, {"additionalTextEdits": [{"newText": "from fsspec import get_filesystem_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "get_filesystem_class", "kind": 3, "label": "get_filesystem_class (import fsspec)", "sortText": "651"}, {"additionalTextEdits": [{"newText": "from transformers.trainer_pt_utils import get_module_class_from_name\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "get_module_class_from_name", "kind": 3, "label": "get_module_class_from_name (import transformers.trainer_pt_utils)", "sortText": "652"}, {"additionalTextEdits": [{"newText": "from inspect import getclasstree\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "getclasstree", "kind": 3, "label": "getclasstree (import inspect)", "sortText": "653"}, {"additionalTextEdits": [{"newText": "from lib2to3.fixes.fix_metaclass import has_metaclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "has_metaclass", "kind": 3, "label": "has_metaclass (import lib2to3.fixes.fix_metaclass)", "sortText": "654"}, {"additionalTextEdits": [{"newText": "import huggingface_hub.dataclasses\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "huggingface_hub.dataclasses", "kind": 9, "label": "huggingface_hub.dataclasses (import huggingface_hub.dataclasses)", "sortText": "655"}, {"additionalTextEdits": [{"newText": "from dataclasses import is_dataclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "is_dataclass", "kind": 3, "label": "is_dataclass (import dataclasses)", "sortText": "656"}, {"additionalTextEdits": [{"newText": "from inspect import isclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "isclass", "kind": 3, "label": "isclass (import inspect)", "sortText": "657"}, {"additionalTextEdits": [{"newText": "import lib2to3.fixes.fix_metaclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "lib2to3.fixes.fix_metaclass", "kind": 9, "label": "lib2to3.fixes.fix_metaclass (import lib2to3.fixes.fix_metaclass)", "sortText": "658"}, {"additionalTextEdits": [{"newText": "from dataclasses import make_dataclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "make_dataclass", "kind": 3, "label": "make_dataclass (import dataclasses)", "sortText": "659"}, {"additionalTextEdits": [{"newText": "from types import new_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "new_class", "kind": 3, "label": "new_class (import types)", "sortText": "660"}, {"additionalTextEdits": [{"newText": "from types import prepare_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "prepare_class", "kind": 3, "label": "prepare_class (import types)", "sortText": "661"}, {"additionalTextEdits": [{"newText": "from logging import setLoggerClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "setLoggerClass", "kind": 3, "label": "setLoggerClass (import logging)", "sortText": "662"}, {"additionalTextEdits": [{"newText": "from unittest.util import strclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "strclass", "kind": 3, "label": "strclass (import unittest.util)", "sortText": "663"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.audio_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.audio_classification", "kind": 9, "label": "transformers.pipelines.audio_classification (import transformers.pipelines.audio_classification)", "sortText": "664"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.image_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.image_classification", "kind": 9, "label": "transformers.pipelines.image_classification (import transformers.pipelines.image_classification)", "sortText": "665"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.text_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.text_classification", "kind": 9, "label": "transformers.pipelines.text_classification (import transformers.pipelines.text_classification)", "sortText": "666"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.token_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.token_classification", "kind": 9, "label": "transformers.pipelines.token_classification (import transformers.pipelines.token_classification)", "sortText": "667"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.video_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.video_classification", "kind": 9, "label": "transformers.pipelines.video_classification (import transformers.pipelines.video_classification)", "sortText": "668"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.zero_shot_audio_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.zero_shot_audio_classification", "kind": 9, "label": "transformers.pipelines.zero_shot_audio_classification (import transformers.pipelines.zero_shot_audio_classification)", "sortText": "669"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.zero_shot_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.zero_shot_classification", "kind": 9, "label": "transformers.pipelines.zero_shot_classification (import transformers.pipelines.zero_shot_classification)", "sortText": "670"}, {"additionalTextEdits": [{"newText": "import transformers.pipelines.zero_shot_image_classification\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.pipelines.zero_shot_image_classification", "kind": 9, "label": "transformers.pipelines.zero_shot_image_classification (import transformers.pipelines.zero_shot_image_classification)", "sortText": "671"}, {"additionalTextEdits": [{"newText": "from socket import CAN_ISOTP_DEFAULT_EXT_ADDRESS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "CAN_ISOTP_DEFAULT_EXT_ADDRESS", "kind": 21, "label": "CAN_ISOTP_DEFAULT_EXT_ADDRESS (import socket)", "sortText": "672"}, {"additionalTextEdits": [{"newText": ", CLIPImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CLIPImageProcessor", "kind": 7, "label": "CLIPImageProcessor (import transformers)", "sortText": "673"}, {"additionalTextEdits": [{"newText": ", CLIPImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "CLIPImageProcessorFast", "kind": 7, "label": "CLIPImageProcessorFast (import transformers)", "sortText": "674"}, {"additionalTextEdits": [{"newText": ", ChameleonImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ChameleonImageProcessor", "kind": 7, "label": "ChameleonImageProcessor (import transformers)", "sortText": "675"}, {"additionalTextEdits": [{"newText": ", ChameleonImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ChameleonImageProcessorFast", "kind": 7, "label": "ChameleonImageProcessorFast (import transformers)", "sortText": "676"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import ChatCompletionInputResponseFormatJSONSchema\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ChatCompletionInputResponseFormatJSONSchema", "kind": 6, "label": "ChatCompletionInputResponseFormatJSONSchema (import huggingface_hub)", "sortText": "677"}, {"additionalTextEdits": [{"newText": ", ChineseCLIPImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ChineseCLIPImageProcessor", "kind": 7, "label": "ChineseCLIPImageProcessor (import transformers)", "sortText": "678"}, {"additionalTextEdits": [{"newText": ", ChineseCLIPImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ChineseCLIPImageProcessorFast", "kind": 7, "label": "ChineseCLIPImageProcessorFast (import transformers)", "sortText": "679"}, {"additionalTextEdits": [{"newText": ", ClapProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ClapProcessor", "kind": 7, "label": "ClapProcessor (import transformers)", "sortText": "680"}, {"additionalTextEdits": [{"newText": ", ColPaliProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ColPaliProcessor", "kind": 7, "label": "ColPaliProcessor (import transformers)", "sortText": "681"}, {"additionalTextEdits": [{"newText": "from transformers.models.colpali.modular_colpali import ColPaliProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ColPaliProcessor", "kind": 7, "label": "ColPaliProcessor (import transformers.models.colpali.modular_colpali)", "sortText": "682"}, {"additionalTextEdits": [{"newText": "from transformers.data.processors.glue import ColaProcessor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ColaProcessor", "kind": 7, "label": "ColaProcessor (import transformers.data.processors.glue)", "sortText": "683"}, {"additionalTextEdits": [{"newText": ", ConditionalDetrImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ConditionalDetrImageProcessor", "kind": 7, "label": "ConditionalDetrImageProcessor (import transformers)", "sortText": "684"}, {"additionalTextEdits": [{"newText": ", ConditionalDetrImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "ConditionalDetrImageProcessorFast", "kind": 7, "label": "ConditionalDetrImageProcessorFast (import transformers)", "sortText": "685"}, {"additionalTextEdits": [{"newText": "from transformers.models.conditional_detr.modular_conditional_detr import ConditionalDetrImageProcessorFast\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ConditionalDetrImageProcessorFast", "kind": 7, "label": "ConditionalDetrImageProcessorFast (import transformers.models.conditional_detr.modular_conditional_detr)", "sortText": "686"}, {"additionalTextEdits": [{"newText": ", DataCollatorForSeq2Seq", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "DataCollatorForSeq2Seq", "kind": 7, "label": "DataCollatorForSeq2Seq (import transformers)", "sortText": "687"}, {"additionalTextEdits": [{"newText": "from transformers.tokenization_mistral_common import ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING", "kind": 21, "label": "ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING (import transformers.tokenization_mistral_common)", "sortText": "688"}, {"additionalTextEdits": [{"newText": "from transformers.tokenization_utils_base import ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING", "kind": 21, "label": "ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING (import transformers.tokenization_utils_base)", "sortText": "689"}, {"additionalTextEdits": [{"newText": ", EfficientLoFTRImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "EfficientLoFTRImageProcessor", "kind": 7, "label": "EfficientLoFTRImageProcessor (import transformers)", "sortText": "690"}, {"additionalTextEdits": [{"newText": ", EfficientLoFTRImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "EfficientLoFTRImageProcessorFast", "kind": 7, "label": "EfficientLoFTRImageProcessorFast (import transformers)", "sortText": "691"}, {"additionalTextEdits": [{"newText": "from asyncio.constants import FLOW_CONTROL_HIGH_WATER_SSL_READ\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "FLOW_CONTROL_HIGH_WATER_SSL_READ", "kind": 21, "label": "FLOW_CONTROL_HIGH_WATER_SSL_READ (import asyncio.constants)", "sortText": "692"}, {"additionalTextEdits": [{"newText": "from asyncio.constants import FLOW_CONTROL_HIGH_WATER_SSL_WRITE\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "FLOW_CONTROL_HIGH_WATER_SSL_WRITE", "kind": 21, "label": "FLOW_CONTROL_HIGH_WATER_SSL_WRITE (import asyncio.constants)", "sortText": "693"}, {"additionalTextEdits": [{"newText": "from huggingface_hub.constants import HF_HUB_LOCAL_DIR_AUTO_SYMLINK_THRESHOLD\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HF_HUB_LOCAL_DIR_AUTO_SYMLINK_THRESHOLD", "kind": 21, "label": "HF_HUB_LOCAL_DIR_AUTO_SYMLINK_THRESHOLD (import huggingface_hub.constants)", "sortText": "694"}, {"additionalTextEdits": [{"newText": "from socket import HVSOCKET_ADDRESS_FLAG_PASSTHRU\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "HVSOCKET_ADDRESS_FLAG_PASSTHRU", "kind": 21, "label": "HVSOCKET_ADDRESS_FLAG_PASSTHRU (import socket)", "sortText": "695"}, {"additionalTextEdits": [{"newText": ", InstructBlipVideoImageProcessor", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "InstructBlipVideoImageProcessor", "kind": 7, "label": "InstructBlipVideoImageProcessor (import transformers)", "sortText": "696"}, {"additionalTextEdits": [{"newText": ", LongcatFlashForCausalLM", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "LongcatFlashForCausalLM", "kind": 7, "label": "LongcatFlashForCausalLM (import transformers)", "sortText": "697"}, {"additionalTextEdits": [{"newText": "from transformers.models.longcat_flash.modular_longcat_flash import LongcatFlashForCausalLM\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "LongcatFlashForCausalLM", "kind": 7, "label": "LongcatFlashForCausalLM (import transformers.models.longcat_flash.modular_longcat_flash)", "sortText": "698"}, {"additionalTextEdits": [{"newText": ", PerceptionLMImageProcessorFast", "range": {"end": {"character": 33, "line": 1}, "start": {"character": 33, "line": 1}}}], "insertText": "PerceptionLMImageProcessorFast", "kind": 7, "label": "PerceptionLMImageProcessorFast (import transformers)", "sortText": "699"}, {"additionalTextEdits": [{"newText": "from winreg import REG_NOTIFY_CHANGE_LAST_SET\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "REG_NOTIFY_CHANGE_LAST_SET", "kind": 21, "label": "REG_NOTIFY_CHANGE_LAST_SET (import winreg)", "sortText": "700"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_tf_utils import TFCausalLanguageModelingLoss\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TFCausalLanguageModelingLoss", "kind": 7, "label": "TFCausalLanguageModelingLoss (import transformers.modeling_tf_utils)", "sortText": "701"}, {"additionalTextEdits": [{"newText": "from transformers.commands.serving import TransformersCompletionCreateParamsStreaming\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "TransformersCompletionCreateParamsStreaming", "kind": 7, "label": "TransformersCompletionCreateParamsStreaming (import transformers.commands.serving)", "sortText": "702"}, {"additionalTextEdits": [{"newText": "from codecs import backslashreplace_errors\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "backslashreplace_errors", "kind": 3, "label": "backslashreplace_errors (import codecs)", "sortText": "703"}, {"additionalTextEdits": [{"newText": "from huggingface_hub import cancel_access_request\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "cancel_access_request", "kind": 6, "label": "cancel_access_request (import huggingface_hub)", "sortText": "704"}, {"additionalTextEdits": [{"newText": "from transformers.utils.import_utils import check_torch_load_is_safe\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "check_torch_load_is_safe", "kind": 3, "label": "check_torch_load_is_safe (import transformers.utils.import_utils)", "sortText": "705"}, {"additionalTextEdits": [{"newText": "from transformers.models.esm.openfold_utils.residue_constants import chi_angle_atoms_for_res\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "chi_angle_atoms_for_res", "kind": 6, "label": "chi_angle_atoms_for_res (import transformers.models.esm.openfold_utils.residue_constants)", "sortText": "706"}, {"additionalTextEdits": [{"newText": "from transformers.models.esm.openfold_utils.residue_constants import chi_angles_atom_indices_list\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "chi_angles_atom_indices_list", "kind": 6, "label": "chi_angles_atom_indices_list (import transformers.models.esm.openfold_utils.residue_constants)", "sortText": "707"}, {"additionalTextEdits": [{"newText": "from transformers.models.esm.openfold_utils.residue_constants import chi_angles_atom_indices_ours\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "chi_angles_atom_indices_ours", "kind": 6, "label": "chi_angles_atom_indices_ours (import transformers.models.esm.openfold_utils.residue_constants)", "sortText": "708"}, {"additionalTextEdits": [{"newText": "from transformers.pipelines import clean_custom_task\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "clean_custom_task", "kind": 3, "label": "clean_custom_task (import transformers.pipelines)", "sortText": "709"}, {"additionalTextEdits": [{"newText": "from turtle import clearstamps\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "clearstamps", "kind": 3, "label": "clearstamps (import turtle)", "sortText": "710"}, {"additionalTextEdits": [{"newText": "from ipaddress import collapse_addresses\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "collapse_addresses", "kind": 3, "label": "collapse_addresses (import ipaddress)", "sortText": "711"}, {"additionalTextEdits": [{"newText": "from transformers.onnx.utils import compute_serialized_parameters_size\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "compute_serialized_parameters_size", "kind": 3, "label": "compute_serialized_parameters_size (import transformers.onnx.utils)", "sortText": "712"}, {"additionalTextEdits": [{"newText": "from transformers.integrations.tensor_parallel import convert_local_tensor_to_dtensor\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "convert_local_tensor_to_dtensor", "kind": 3, "label": "convert_local_tensor_to_dtensor (import transformers.integrations.tensor_parallel)", "sortText": "713"}, {"additionalTextEdits": [{"newText": "from packaging.tags import create_compatible_tags_selector\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "create_compatible_tags_selector", "kind": 3, "label": "create_compatible_tags_selector (import packaging.tags)", "sortText": "714"}, {"additionalTextEdits": [{"newText": "from transformers.masking_utils import create_sliding_window_causal_mask\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "create_sliding_window_causal_mask", "kind": 3, "label": "create_sliding_window_causal_mask (import transformers.masking_utils)", "sortText": "715"}, {"additionalTextEdits": [{"newText": "import encodings.aliases\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "encodings.aliases", "kind": 9, "label": "encodings.aliases (import encodings.aliases)", "sortText": "716"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.asyn_wrapper\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.asyn_wrapper", "kind": 9, "label": "fsspec.implementations.asyn_wrapper (import fsspec.implementations.asyn_wrapper)", "sortText": "717"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.dask\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.dask", "kind": 9, "label": "fsspec.implementations.dask (import fsspec.implementations.dask)", "sortText": "718"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.dbfs\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.dbfs", "kind": 9, "label": "fsspec.implementations.dbfs (import fsspec.implementations.dbfs)", "sortText": "719"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.dirfs\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.dirfs", "kind": 9, "label": "fsspec.implementations.dirfs (import fsspec.implementations.dirfs)", "sortText": "720"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.gist\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.gist", "kind": 9, "label": "fsspec.implementations.gist (import fsspec.implementations.gist)", "sortText": "721"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.http_sync\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.http_sync", "kind": 9, "label": "fsspec.implementations.http_sync (import fsspec.implementations.http_sync)", "sortText": "722"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.sftp\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.sftp", "kind": 9, "label": "fsspec.implementations.sftp (import fsspec.implementations.sftp)", "sortText": "723"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.smb\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.smb", "kind": 9, "label": "fsspec.implementations.smb (import fsspec.implementations.smb)", "sortText": "724"}, {"additionalTextEdits": [{"newText": "import fsspec.implementations.webhdfs\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "fsspec.implementations.webhdfs", "kind": 9, "label": "fsspec.implementations.webhdfs (import fsspec.implementations.webhdfs)", "sortText": "725"}, {"additionalTextEdits": [{"newText": "import transformers.models.audio_spectrogram_transformer.modeling_audio_spectrogram_transformer\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.audio_spectrogram_transformer.modeling_audio_spectrogram_transformer", "kind": 9, "label": "transformers.models.audio_spectrogram_transformer.modeling_audio_spectrogram_transformer (import transformers.models.audio_spectrogram_transformer.modeling_audio_spectrogram_transformer)", "sortText": "726"}, {"additionalTextEdits": [{"newText": "import transformers.models.chameleon.image_processing_chameleon\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.chameleon.image_processing_chameleon", "kind": 9, "label": "transformers.models.chameleon.image_processing_chameleon (import transformers.models.chameleon.image_processing_chameleon)", "sortText": "727"}, {"additionalTextEdits": [{"newText": "import transformers.models.chameleon.image_processing_chameleon_fast\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "transformers.models.chameleon.image_processing_chameleon_fast", "kind": 9, "label": "transformers.models.chameleon.image_processing_chameleon_fast (import transformers.models.chameleon.image_processing_chameleon_fast)", "sortText": "728"}, 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Any, name: str, /, *bases: Any, metaclass: Any = ..., **kwds: Any) -> Any", "documentation": {"kind": "plaintext", "value": "__build_class__(func, name, /, *bases, [metaclass], **kwds) -> class\n\nInternal helper function used by the class statement.\n"}, "kind": 3, "label": "__build_class__", "sortText": "753"}, {"detail": "type[ModuleType]", "documentation": {"kind": "plaintext", "value": "Create a module object.\n\nThe name must be a string; the optional doc argument can have any type.\n"}, "kind": 7, "label": "__class__", "sortText": "754"}, {"detail": "bound method type[ModuleType].__init_subclass__() -> None", "kind": 2, "label": "__init_subclass__", "sortText": "755"}, {"detail": "bound method type[ModuleType].__subclasshook__(subclass: type, /) -> bool", "kind": 2, "label": "__subclasshook__", "sortText": "756"}, {"additionalTextEdits": [{"newText": "from python_lsp_compare.tsp_semantic_tokens import _classify_type_result\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_classify_type_result", "kind": 3, "label": "_classify_type_result (import python_lsp_compare.tsp_semantic_tokens)", "sortText": "757"}, {"additionalTextEdits": [{"newText": "from python_lsp_compare.runner import _effective_validation_thresholds\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_effective_validation_thresholds", "kind": 3, "label": "_effective_validation_thresholds (import python_lsp_compare.runner)", "sortText": "758"}, {"additionalTextEdits": [{"newText": "from sqlite3 import _AnyParamWindowAggregateClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_AnyParamWindowAggregateClass", "kind": 7, "label": "_AnyParamWindowAggregateClass (import sqlite3)", "sortText": "759"}, {"additionalTextEdits": [{"newText": "from urllib3.connectionpool import _DEFAULT_QUEUE_CLASS\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_DEFAULT_QUEUE_CLASS", "kind": 21, "label": "_DEFAULT_QUEUE_CLASS (import urllib3.connectionpool)", "sortText": "760"}, {"additionalTextEdits": [{"newText": "from charset_normalizer.constant import _KNOWN_MB_CLASSES\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_KNOWN_MB_CLASSES", "kind": 21, "label": "_KNOWN_MB_CLASSES (import charset_normalizer.constant)", "sortText": "761"}, {"additionalTextEdits": [{"newText": "from unittest.runner import _ResultClassType\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_ResultClassType", "kind": 6, "label": "_ResultClassType (import unittest.runner)", "sortText": "762"}, {"additionalTextEdits": [{"newText": "from sqlite3 import _SingleParamWindowAggregateClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_SingleParamWindowAggregateClass", "kind": 7, "label": "_SingleParamWindowAggregateClass (import sqlite3)", "sortText": "763"}, {"additionalTextEdits": [{"newText": "from unittest.loader import _SuiteClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_SuiteClass", "kind": 6, "label": "_SuiteClass (import unittest.loader)", "sortText": "764"}, {"additionalTextEdits": [{"newText": "from sqlite3 import _WindowAggregateClass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_WindowAggregateClass", "kind": 7, "label": "_WindowAggregateClass (import sqlite3)", "sortText": "765"}, {"additionalTextEdits": [{"newText": "from idna.core import _combining_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_combining_class", "kind": 3, "label": "_combining_class (import idna.core)", "sortText": "766"}, {"additionalTextEdits": [{"newText": "from transformers.utils.fx import _generate_supported_model_class_names\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_generate_supported_model_class_names", "kind": 3, "label": "_generate_supported_model_class_names (import transformers.utils.fx)", "sortText": "767"}, {"additionalTextEdits": [{"newText": "from huggingface_hub.hub_mixin import _load_dataclass\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_load_dataclass", "kind": 3, "label": "_load_dataclass (import huggingface_hub.hub_mixin)", "sortText": "768"}, {"additionalTextEdits": [{"newText": "from fsspec.spec import _registered_classes\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_registered_classes", "kind": 6, "label": "_registered_classes (import fsspec.spec)", "sortText": "769"}, {"additionalTextEdits": [{"newText": "from idna.core import _virama_combining_class\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_virama_combining_class", "kind": 6, "label": "_virama_combining_class (import idna.core)", "sortText": "770"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_rope_utils import _compute_linear_scaling_rope_parameters\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_compute_linear_scaling_rope_parameters", "kind": 3, "label": "_compute_linear_scaling_rope_parameters (import transformers.modeling_rope_utils)", "sortText": "771"}, {"additionalTextEdits": [{"newText": "from fsspec.asyn import _deferred_close_tasks\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_deferred_close_tasks", "kind": 6, "label": "_deferred_close_tasks (import fsspec.asyn)", "sortText": "772"}, {"additionalTextEdits": [{"newText": "from transformers.masking_utils import _ignore_causal_mask_sdpa\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_ignore_causal_mask_sdpa", "kind": 3, "label": "_ignore_causal_mask_sdpa (import transformers.masking_utils)", "sortText": "773"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_attn_mask_utils import _prepare_4d_causal_attention_mask_for_sdpa\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_prepare_4d_causal_attention_mask_for_sdpa", "kind": 3, "label": "_prepare_4d_causal_attention_mask_for_sdpa (import transformers.modeling_attn_mask_utils)", "sortText": "774"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_flash_attention_utils import _process_flash_attention_kwargs\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_process_flash_attention_kwargs", "kind": 3, "label": "_process_flash_attention_kwargs (import transformers.modeling_flash_attention_utils)", "sortText": "775"}, {"additionalTextEdits": [{"newText": "from transformers.modeling_flash_attention_utils import _process_flash_kwargs_fn\n", "range": {"end": {"character": 0, "line": 0}, "start": {"character": 0, "line": 0}}}], "insertText": "_process_flash_kwargs_fn", "kind": 6, "label": "_process_flash_kwargs_fn (import transformers.modeling_flash_attention_utils)", "sortText": "776"}]}}
diff --git a/latest-results/ty-20260924T060612Z.json b/latest-results/ty-20260925T060552Z.json
similarity index 89%
rename from latest-results/ty-20260924T060612Z.json
rename to latest-results/ty-20260925T060552Z.json
index a1e98bf..5891e45 100644
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