narwhals/__init__.py,sha256=hgA6KbugxhPowzqwHc_J7NJhPq-KQI91U1ijXKYszz8,2506
narwhals/_expression_parsing.py,sha256=pQkeNMjsxXS81IqLXV7XXChQm2C2jbaLJFICfE9hUyQ,9508
narwhals/dataframe.py,sha256=Xi3NvXo2IyrSKryIweADeqihh-O0QVXzVfM7ola62Ss,108894
narwhals/dependencies.py,sha256=XBwk-fPeK2LPlCzuwvWCS6hGIPpj9X3FCOyPHgN5fvI,2314
narwhals/dtypes.py,sha256=dPxEtdvLG6C9aAGoPCcyh3OnqizBntNwkv2jLRfqsMk,2656
narwhals/expr.py,sha256=rAgDyB8dcphrvBHO48rTU72qKbNQmu7cQnaK7I5HNio,134352
narwhals/functions.py,sha256=6xv2pUkA82olHv49y98FM8bgiskulfxDQ8OfsDX0GQg,3458
narwhals/group_by.py,sha256=E_M0fv6CFB_GEvSQgKYwBI8zHl1wqpjbrEEfCN8PrIY,4676
narwhals/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
narwhals/schema.py,sha256=mm8G0eSR9TjLuv10VG1iZsY2n_teAnGiEUysDXEEFi8,1988
narwhals/selectors.py,sha256=oA4jg-RM8u6MoeJpKn2WkZVW96EbNWYaeWoF3FsmXTc,7115
narwhals/series.py,sha256=Fk7_oQ1-qJA9Jld60OxPHcm8C4luZs_EczacegWTCWk,94794
narwhals/translate.py,sha256=08gzvItjKBZJT3Ar8oP_xPbITzPflCvZwagDwHuGGZ8,19622
narwhals/typing.py,sha256=y6q-ZmGhIPMxuBTopBu2kJTNhaL4tyh2gFDBHgXt9_E,1871
narwhals/utils.py,sha256=fkxpLg9MPwXijCyLoMeKPf1VTI4E-46hBXoZtP1GELM,13380
narwhals/_arrow/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
narwhals/_arrow/dataframe.py,sha256=ZlgUGuHpbWCn6JEnoWOtbyTOdg6lDDcdToBFugduylo,16084
narwhals/_arrow/expr.py,sha256=4toZyXryLXMzZGPL_LLg6wzMvNC9zfAqj06ilxplIMU,17070
narwhals/_arrow/group_by.py,sha256=ljo-9CmB-rvjDADQ6H_hqZmEG-ZkqQMUAnVqJAOV7j4,4833
narwhals/_arrow/namespace.py,sha256=2t3JXZ9boIFyfWEbWqTlPATzUz1df9P-JW_G9Tb9C2Y,6356
narwhals/_arrow/selectors.py,sha256=MOvyChXX3wRcHO9r8hi3ixfQ2zVtbwpNRpDvWpPdAIA,5138
narwhals/_arrow/series.py,sha256=NNyTov3QwXe0sHFoG0dMin8vpG6o_aR1Veo-uW1mH70,21332
narwhals/_arrow/typing.py,sha256=5yeyS91OujCpiGhG9kiSSnHxLQQEbRz9t1aib0WxlQ8,498
narwhals/_arrow/utils.py,sha256=eL_KFtc1tKDMfFwUzscIaA140TSALsR0UBg5IG26T3Y,8393
narwhals/_interchange/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
narwhals/_interchange/dataframe.py,sha256=43NQZINDjbjMg5SYHTSzIM-BF4g_5zIkHkgluhzmDMI,3508
narwhals/_interchange/series.py,sha256=pDEvQds8ymHSLfUgfDEzhZy5IH01kKbtqM2n_V4HBEw,1091
narwhals/_pandas_like/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
narwhals/_pandas_like/dataframe.py,sha256=iohIg7F1uV9wMMK9xSQ1Ma2MxPAcZt7vumrJmVhQLQo,21492
narwhals/_pandas_like/expr.py,sha256=hLD4rs6x5X1n0PmSeU04i5nhLqe_oftUVGDtsbCJ0Bk,22311
narwhals/_pandas_like/group_by.py,sha256=zQkVwU0s42156be0P2hI8tUygib8HLGlmZUDUkWlbDs,8356
narwhals/_pandas_like/namespace.py,sha256=RYyFyF0hkZDrvj0AaAqx6pS6rbhTW5QmlomWMZORgMY,8425
narwhals/_pandas_like/selectors.py,sha256=qvSs16NtZ6iNBhaj45x6rQsVLJbhQuajzHi7_POnOeQ,5712
narwhals/_pandas_like/series.py,sha256=5mS_S38vZtRRXfzJ5E0mCNvlISPeyFi_nayQzXfB9C0,31085
narwhals/_pandas_like/typing.py,sha256=2Vqf5H8Hq5E__Lxy8BzpKZsT7BPJ3R9Xc9nMbrXUb-I,523
narwhals/_pandas_like/utils.py,sha256=EHFaznzfFS8I8PjMYLcLjoCBvWh9UqLPNNopYGuooSY,15856
narwhals/_polars/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
narwhals/_polars/dataframe.py,sha256=avKiUIY1y20zf14NfQ_va1NvZd44hh1d7yX0Z6jHb7c,6632
narwhals/_polars/expr.py,sha256=hoFBTk_ocTAbshVcdFXDwLncfszq29oRNmCYQq4ezEM,5991
narwhals/_polars/group_by.py,sha256=DUJg-NorQbH9pe4i58BefHKeRAcHvqnvhhi94LrwecI,1474
narwhals/_polars/namespace.py,sha256=UbzGX4o0UFXb34pnSKDdKsTTwgM7EkuYL9K2gD6_jSI,4008
narwhals/_polars/series.py,sha256=7RTedG8Xt_Y56OIOdjEgPkceDKrEUsWuMGHTuV-Rc9Q,8367
narwhals/_polars/utils.py,sha256=pv3V-oarRzfOSGnMUY4AbQ42SLQCyuzIFItP5QW9oVo,3284
narwhals/stable/__init__.py,sha256=kndkvE6wHR_nT6MNrKGLyg62ew-QBU7Ze3M4lk-Zot0,49
narwhals/stable/v1.py,sha256=r6GayeJ-yYI-9_rfd6d4dChFLUTAfpG1c-vH6nfzjpU,42107
narwhals-1.1.5.dist-info/METADATA,sha256=T2kZCr76AUH8nD8bbuY9p2nxSBz5yIx8rEb2dT8tGOE,5215
narwhals-1.1.5.dist-info/WHEEL,sha256=1yFddiXMmvYK7QYTqtRNtX66WJ0Mz8PYEiEUoOUUxRY,87
narwhals-1.1.5.dist-info/licenses/LICENSE.md,sha256=heMD6hta6RzeBucppx59AUCgr_ukRY0ABj0bcrN3mKs,1071
narwhals-1.1.5.dist-info/RECORD,,
