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adding see also
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ci/code_checks.sh

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@@ -314,7 +314,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.api.types.is_sparse SA01" \
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-i "pandas.api.types.is_string_dtype SA01" \
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-i "pandas.api.types.is_timedelta64_ns_dtype SA01" \
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-i "pandas.api.types.is_unsigned_integer_dtype SA01" \
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-i "pandas.api.types.pandas_dtype PR07,RT03,SA01" \
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-i "pandas.api.types.union_categoricals RT03,SA01" \
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-i "pandas.arrays.ArrowExtensionArray PR07,SA01" \

pandas/core/dtypes/common.py

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@@ -771,6 +771,15 @@ def is_unsigned_integer_dtype(arr_or_dtype) -> bool:
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boolean
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Whether or not the array or dtype is of an unsigned integer dtype.
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See Also
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--------
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api.types.is_signed_integer_dtype : Check whether the provided array
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or dtype is of an signed integer dtype.
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api.types.is_integer_dtype : Check whether the provided array or dtype
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is of an integer dtype.
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api.types.is_numeric_dtype : Check whether the provided array or dtype
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is of a numeric dtype.
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Examples
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--------
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>>> from pandas.api.types import is_unsigned_integer_dtype

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