From e0fa3bba100b65ee067322f375f838703d5cc900 Mon Sep 17 00:00:00 2001
From: cosmicBboy <niels.bantilan@gmail.com>
Date: Tue, 9 Nov 2021 08:57:25 -0500
Subject: [PATCH] fix lint, docs tests

---
 docs/source/conf.py      | 3 +++
 docs/source/modin.rst    | 6 ++++++
 pandera/typing/koalas.py | 4 ++--
 3 files changed, 11 insertions(+), 2 deletions(-)

diff --git a/docs/source/conf.py b/docs/source/conf.py
index 77c9b06f3..8e47ab41c 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -50,6 +50,7 @@
 ]
 
 doctest_global_setup = """
+import platform
 import sys
 import pandas as pd
 import numpy as np
@@ -76,6 +77,8 @@
 SKIP_PANDAS_LT_V1 = version.parse(pd.__version__).release < (1, 0) or PY36
 SKIP_SCALING = True
 SKIP_SCHEMA_MODEL = SKIP_PANDAS_LT_V1 or KOALAS_INSTALLED
+SKIP_MODIN = platform.system() == "Windows"
+
 """
 
 doctest_default_flags = (
diff --git a/docs/source/modin.rst b/docs/source/modin.rst
index 3d5b1bb1b..fc6c58fd2 100644
--- a/docs/source/modin.rst
+++ b/docs/source/modin.rst
@@ -25,6 +25,7 @@ below we'll use the :ref:`class-based API <schema_models>` to define a
 :py:class:`SchemaModel` for validation.
 
 .. testcode:: scaling_modin
+    :skipif: SKIP_MODIN
 
     import modin.pandas as pd
     import pandas as pd
@@ -58,6 +59,7 @@ below we'll use the :ref:`class-based API <schema_models>` to define a
 
 
 .. testoutput:: scaling_modin
+    :skipif: SKIP_MODIN
 
       state           city  price
     0    FL        Orlando      8
@@ -73,6 +75,7 @@ modin dataframes at runtime:
 
 
 .. testcode:: scaling_modin
+    :skipif: SKIP_MODIN
 
     @pa.check_types
     def function(df: DataFrame[Schema]) -> DataFrame[Schema]:
@@ -82,6 +85,7 @@ modin dataframes at runtime:
 
 
 .. testoutput:: scaling_modin
+    :skipif: SKIP_MODIN
 
       state           city  price
     3    CA  San Francisco     16
@@ -93,6 +97,7 @@ And of course, you can use the object-based API to validate dask dataframes:
 
 
 .. testcode:: scaling_modin
+    :skipif: SKIP_MODIN
 
     schema = pa.DataFrameSchema({
         "state": pa.Column(str),
@@ -103,6 +108,7 @@ And of course, you can use the object-based API to validate dask dataframes:
 
 
 .. testoutput:: scaling_modin
+    :skipif: SKIP_MODIN
 
       state           city  price
     0    FL        Orlando      8
diff --git a/pandera/typing/koalas.py b/pandera/typing/koalas.py
index 052338f7f..940ce8f76 100644
--- a/pandera/typing/koalas.py
+++ b/pandera/typing/koalas.py
@@ -22,7 +22,7 @@
 
 if KOALAS_INSTALLED:
 
-    # pylint: disable=too-few-public-methods
+    # pylint: disable=too-few-public-methods,arguments-renamed
     class DataFrame(DataFrameBase, ks.DataFrame, Generic[T]):
         """
         Representation of dask.dataframe.DataFrame, only used for type
@@ -35,7 +35,7 @@ def __class_getitem__(cls, item):
             """Define this to override's koalas generic type."""
             return _GenericAlias(cls, item)
 
-    # pylint:disable=too-few-public-methods
+    # pylint:disable=too-few-public-methods,arguments-renamed
     class Series(SeriesBase, ks.Series, Generic[GenericDtype]):
         """Representation of pandas.Series, only used for type annotation.