Fix test requirements to be compatible with python 3.11 (#7225)

* stash pop

* lint fix

* add changeset

* changes

* add changeset

* exclude

* fix

* tokenizers, transformers fix

* changes

---------

Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com>

.changeset/strong-bugs-stick.md

@@ -0,0 +1,5 @@
+---
+"gradio": patch
+---
+
+feat:Fix test requirements to be compatible with python 3.11

gradio/themes/base.py

@@ -4,9 +4,9 @@
 import re
 import tempfile
 import textwrap
+import warnings
 from pathlib import Path
 from typing import Iterable
-import warnings
 
 import huggingface_hub
 import semantic_version as semver
@@ -95,8 +95,8 @@ def repl_func(match):
         return f"{css_code}\n{dark_css_code}"
 
     def _get_computed_value(self, property: str, depth=0) -> str:
-        MAX_DEPTH = 100
-        if depth > MAX_DEPTH:
+        max_depth = 100
+        if depth > max_depth:
             warnings.warn(f"Cannot resolve '{property}' - circular reference detected.")
             return ""
         is_dark = property.endswith("_dark")

pyproject.toml

@@ -100,7 +100,8 @@ exclude = [
   "gradio/_frontend_code/",
   "gradio/components/*_plot.py",
   "gradio/ipython_ext.py",
-  "gradio/node"
+  "gradio/node/*.py",
+  "gradio/_frontend_code/*.py"
 ]
 
 [tool.ruff]

test/requirements.in

@@ -9,14 +9,13 @@ gradio_pdf==0.0.3
 httpx
 huggingface_hub
 polars==0.20.5
-pydantic
+pydantic[email]
 pytest
 pytest-asyncio
 pytest-cov
 ruff>=0.1.7
 respx
 scikit-image
-shap
 torch
 tqdm
 transformers

test/requirements.txt

@@ -32,8 +32,6 @@ certifi==2022.6.15
     #   requests
 charset-normalizer==2.1.0
     # via requests
-cloudpickle==2.1.0
-    # via shap
 decorator==5.1.1
     # via ipython
 entrypoints==0.4
@@ -79,40 +77,32 @@ joblib==1.1.0
     # via scikit-learn
 jsonschema==4.7.2
     # via altair
-llvmlite==0.38.1
-    # via numba
 markupsafe==2.1.1
     # via jinja2
 matplotlib-inline==0.1.3
     # via ipython
 networkx==2.6.3
     # via scikit-image
-numba==0.55.2
-    # via shap
-numpy==1.21.6
+numpy==1.24.4
     # via
     #   altair
     #   imageio
-    #   numba
     #   pandas
     #   pywavelets
     #   scikit-image
     #   scikit-learn
     #   scipy
-    #   shap
     #   tifffile
     #   transformers
 packaging==22.0
     # via
     #   huggingface-hub
     #   pytest
     #   scikit-image
-    #   shap
     #   transformers
 pandas==1.5.3
     # via
     #   altair
-    #   shap
     #   vega-datasets
 parso==0.8.3
     # via jedi
@@ -134,6 +124,8 @@ polars==0.20.5
     # via -r requirements.in
 py==1.11.0
     # via pytest
+pydantic[email]
+    # via requirements.in
 pyparsing==3.0.9
     # via packaging
 pyrsistent==0.18.1
@@ -177,19 +169,12 @@ s3transfer==0.6.0
     # via boto3
 scikit-image==0.19.3
     # via -r requirements.in
-scikit-learn==1.0.2
-    # via shap
-scipy==1.7.3
+scipy==1.10.0
     # via
     #   scikit-image
     #   scikit-learn
-    #   shap
-shap==0.41.0
-    # via -r requirements.in
 six==1.16.0
     # via python-dateutil
-slicer==0.0.7
-    # via shap
 sniffio==1.2.0
     # via
     #   anyio
@@ -201,26 +186,25 @@ threadpoolctl==3.1.0
     # via scikit-learn
 tifffile==2021.11.2
     # via scikit-image
-tokenizers==0.12.1
+tokenizers==0.15.1
     # via transformers
 tomli==2.0.1
     # via
     #   pytest
 toolz==0.12.0
     # via altair
-torch==1.12.0
+torch==2.1.2
     # via -r requirements.in
 tqdm==4.64.0
     # via
     #   -r requirements.in
     #   huggingface-hub
-    #   shap
     #   transformers
 traitlets==5.3.0
     # via
     #   ipython
     #   matplotlib-inline
-transformers==4.20.1
+transformers==4.37.2
     # via -r requirements.in
 urllib3==1.26.10
     # via
@@ -230,6 +214,3 @@ vega-datasets==0.9.0
     # via -r requirements.in
 wcwidth==0.2.5
     # via prompt-toolkit
-pydantic[email]
-# The following packages are considered to be unsafe in a requirements file:
-# setuptools