o g@sdZddlmZddlmZmZddlmZddlm Z ddl m Z m Z m Z ddlmZddlmZe ejd d  dd e d eed efddZe ejd d  dded efddZd S)z feather-format compat )AnyStr)FilePathOrBufferStorageOptions)import_optional_dependency)doc) DataFrame Int64Index RangeIndex)generic) get_handlestorage_options)r NdfpathcKstdddlm}t|tstdddh}t|jttfs,t |j}td|d|j t t t |s=td |jjd urGtd |jj|vrQtd t|d |dd}|j||jfi|Wd d S1spwYd S)aK Write a DataFrame to the binary Feather format. Parameters ---------- df : DataFrame path : string file path, or file-like object {storage_options} .. versionadded:: 1.2.0 **kwargs : Additional keywords passed to `pyarrow.feather.write_feather`. .. versionadded:: 1.1.0 pyarrowrfeatherz'feather only support IO with DataFramesstringunicodez%feather does not support serializing zG for the index; you can .reset_index() to make the index into column(s)zfeather does not support serializing a non-default index for the index; you can .reset_index() to make the index into column(s)Nz=feather does not serialize index meta-data on a default indexz%feather must have string column nameswbFr is_text)rrr isinstancer ValueErrorindexrr typeequals from_rangerangelennamecolumns inferred_typer write_featherhandle)r rr kwargsr valid_typestyphandlesr(V/home/ubuntu/cloudmapper/venv/lib/python3.10/site-packages/pandas/io/feather_format.py to_feathers4      "r*T use_threadscCs^tdddlm}t|d|dd}|j|j|t|dWdS1s(wYdS) a Load a feather-format object from the file path. Parameters ---------- path : str, path object or file-like object Any valid string path is acceptable. 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``. If you want to pass in a path object, pandas accepts any ``os.PathLike``. By file-like object, we refer to objects with a ``read()`` method, such as a file handle (e.g. via builtin ``open`` function) or ``StringIO``. 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} .. versionadded:: 1.2.0 Returns ------- type of object stored in file rrrrbFr)r r+N)rrrr read_featherr#bool)rr r+r rr'r(r(r)r-Zs!  $r-)N)NTN)__doc__typingrpandas._typingrrpandas.compat._optionalrpandas.util._decoratorsrpandasrrr pandas.corer pandas.io.commonr _shared_docsr*r.r-r(r(r(r)s0      C