a Of[ @s dZddlmZddlmZmZddlmZddlm Z ddl m Z ddl m Z ddlmZdd lZdd lmZdd lmZdd lmZdd lmZerddlmZmZddlmZmZm Z m!Z!m"Z"e eddd"ddddddddZ#e eddd dd e j$fdddddddd d!Z%d S)#z feather-format compat ) annotations) TYPE_CHECKINGAny)using_pyarrow_string_dtype)lib)import_optional_dependency)doc)check_dtype_backendN) DataFrame) _shared_docs)arrow_string_types_mapper) get_handle)HashableSequence) DtypeBackendFilePath ReadBufferStorageOptions WriteBufferstorage_options)rr zFilePath | WriteBuffer[bytes]zStorageOptions | NonerNone)dfpathrkwargsreturncKsptdddlm}t|ts&tdt|d|dd&}|j||jfi|Wdn1sb0YdS) a  Write a DataFrame to the binary Feather format. Parameters ---------- df : DataFrame path : str, path object, or file-like object {storage_options} **kwargs : Additional keywords passed to `pyarrow.feather.write_feather`. pyarrowrfeatherz'feather only support IO with DataFrameswbFrZis_textN) rrr isinstancer ValueErrorr Z write_featherhandle)rrrrrhandlesr$Q/var/www/ai-form-bot/venv/lib/python3.9/site-packages/pandas/io/feather_format.py to_feather&s  r&TzFilePath | ReadBuffer[bytes]zSequence[Hashable] | NoneboolzDtypeBackend | lib.NoDefault)rcolumns use_threadsr dtype_backendrc Cs tdddlm}ddl}t|t|d|dd}|tjurjtsj|j |j |t |dWdS|j |j |t |d}|d krdd l m} |j| jd WdS|dkr|jtjd WdStr|jtd WdStWdn1s0YdS) a Load a feather-format object from the file path. Parameters ---------- path : str, path object, or file-like object String, path object (implementing ``os.PathLike[str]``), or file-like object implementing a binary ``read()`` function. The string could be a URL. Valid URL schemes include http, ftp, s3, and file. For file URLs, a host is expected. A local file could be: ``file://localhost/path/to/table.feather``. columns : sequence, default None If not provided, all columns are read. use_threads : bool, default True Whether to parallelize reading using multiple threads. {storage_options} dtype_backend : {{'numpy_nullable', 'pyarrow'}}, default 'numpy_nullable' Back-end data type applied to the resultant :class:`DataFrame` (still experimental). Behaviour is as follows: * ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame` (default). * ``"pyarrow"``: returns pyarrow-backed nullable :class:`ArrowDtype` DataFrame. .. versionadded:: 2.0 Returns ------- type of object stored in file Examples -------- >>> df = pd.read_feather("path/to/file.feather") # doctest: +SKIP rrrNrbFr)r(r)Znumpy_nullable)_arrow_dtype_mapping)Z types_mapper)rrrZ(pandas.core.arrays.arrow.extension_typesr r r no_defaultr read_featherr"r'Z read_tablepandas.io._utilr,Z to_pandasgetpdZ ArrowDtyper NotImplementedError) rr(r)rr*rpandasr#Zpa_tabler,r$r$r%r.Es.+    r.)N)&__doc__ __future__rtypingrrZpandas._configrZ pandas._libsrZpandas.compat._optionalrZpandas.util._decoratorsrZpandas.util._validatorsr r3r1Zpandas.core.apir Zpandas.core.shared_docsr r/r Zpandas.io.commonr collections.abcrrZpandas._typingrrrrrr&r-r.r$r$r$r%s0