Ë ¿AHjãóЗddlmZddlZddlmZddlmZerddlmZeje «5ddl m Z ddd«e«dddœ d d „«Z y#1swYŒ%xYw) é)Ú annotationsN)Ú TYPE_CHECKING)Úunstable)Ú SchemaDict)Úassert_schema_equal_pyT©Úcheck_column_orderÚ check_dtypescóF—ddlm}t||«||«||¬«y)aE Assert that the schema of the left and right frame are equal. Raises a detailed `AssertionError` if the schemas of the frames differ. This function is intended for use in unit tests. .. warning:: This functionality is considered **unstable**. It may be changed at any point without it being considered a breaking change. Parameters ---------- left_schema The first DataFrame or LazyFrame to compare. right_schema The second DataFrame or LazyFrame to compare. check_column_order Requires column order to match. check_dtypes Requires data types to match. Examples -------- >>> import polars as pl >>> from polars.testing import assert_schema_equal >>> df1 = pl.DataFrame({"b": [3, 4], "a": [1, 2]}) >>> df2 = pl.DataFrame({"a": [1, 2], "b": [3, 4]}) >>> assert_schema_equal(df1.schema, df2.schema) Traceback (most recent call last): ... AssertionError: Schemas are different (columns are not in the same order) [left]: ["b", "a"] [right]: ["a", "b"] r)ÚSchemarN)Úpolarsr r)Ú left_schemaÚ right_schemar r r s úU/root/tools/cai/cai_env/lib/python3.12/site-packages/polars/testing/asserts/schema.pyÚassert_schema_equalrs&€õTäÙˆ{ÓÙˆ|ÓØ-Ø!ö ó) rrrrr Úboolr rÚreturnÚNone)Ú __future__rÚ contextlibÚtypingrÚpolars._utils.unstablerÚpolars._typingrÚsuppressÚ ImportErrorÚ polars._plrrr©rrúrs‹ðÝ"ãÝ å+áÝ)à€Z×јÓ%ñ3Ý2÷3ñ ƒð $Øñ 0Øð0àð0ðð 0ð ð 0ð  ò 0ó ñ0÷ 3ð3ús ±AÁA%