o .iw$@sddlZddlmZmZddlmZddlmZmZm Z m Z m Z m Z ddl ZddlmZddlmZddlmZdd lmZmZdd lmZerRddlZd d lmZd ddefddZeGdddZdS)N) dataclassfield)BytesIO) TYPE_CHECKINGAnyClassVarDictOptionalUnion)config)DownloadConfig) array_cast) is_local_pathxopen)string_to_dict) FeatureTypepdfpdfplumber.pdf.PDFreturncCsLt}|jD] }||jjq|WdS1swYdS)z-Convert a pdfplumber.pdf.PDF object to bytes.N)rpageswriterstreamgetvalue)rbufferpagerI/home/ubuntu/.local/lib/python3.10/site-packages/datasets/features/pdf.py pdf_to_bytess  $rc@seZdZUdZdZeed<dZee ed<dZ e e ed<e e e dZe eed <edd d d Ze ed <d dZdee eedfdefddZdddefddZddeddfddZdedee dfffddZdee je je jfde jfddZ dS)Pdfa **Experimental.** Pdf [`Feature`] to read pdf documents from a pdf file. Input: The Pdf feature accepts as input: - A `str`: Absolute path to the pdf file (i.e. random access is allowed). - A `dict` with the keys: - `path`: String with relative path of the pdf file in a dataset repository. - `bytes`: Bytes of the pdf file. This is useful for archived files with sequential access. - A `pdfplumber.pdf.PDF`: pdfplumber pdf object. Args: mode (`str`, *optional*): The mode to convert the pdf to. If `None`, the native mode of the pdf is used. decode (`bool`, defaults to `True`): Whether to decode the pdf data. If `False`, returns the underlying dictionary in the format `{"path": pdf_path, "bytes": pdf_bytes}`. Examples: ```py >>> from datasets import Dataset, Pdf >>> ds = Dataset.from_dict({"pdf": ["path/to/pdf/file.pdf"]}).cast_column("pdf", Pdf()) >>> ds.features["pdf"] Pdf(decode=True, id=None) >>> ds[0]["pdf"] >>> ds = ds.cast_column("pdf", Pdf(decode=False)) >>> ds[0]["pdf"] {'bytes': None, 'path': 'path/to/pdf/file.pdf'} ``` TdecodeNidrdtypebytespathpa_typeF)defaultinitrepr_typecCs|jSN)r')selfrrr__call__Ksz Pdf.__call__valuercCstjrddl}nd}t|tr|ddSt|trd|dS|dur.t||jjr.||S| ddurEt j |drEd| ddS| ddusS| ddur^| d| ddSt d|d) zEncode example into a format for Arrow. Args: value (`str`, `bytes`, `pdfplumber.pdf.PDF` or `dict`): Data passed as input to Pdf feature. Returns: `dict` with "path" and "bytes" fields rNr&r%r&r$r%zRA pdf sample should have one of 'path' or 'bytes' but they are missing or None in .)r PDFPLUMBER_AVAILABLE pdfplumber isinstancestrr%rPDFencode_pdfplumber_pdfgetosr&isfile ValueError)r-r/r3rrrencode_exampleNs        zPdf.encode_examplercCs:t|drt|jdr|jjr|jjddSdt|dS)aa Encode a pdfplumber.pdf.PDF object into a dictionary. If the PDF has an associated file path, returns the path. Otherwise, serializes the PDF content into bytes. Args: pdf (pdfplumber.pdf.PDF): A pdfplumber PDF object. Returns: dict: A dictionary with "path" or "bytes" field. rnameNr0)hasattrrr=r)rrrrr7os zPdf.encode_pdfplumber_pdfcCs.|jstdtjrddl}ntd|duri}|d|d}}|dur{|dur2td|dt|r=||}|S| d d }| tj rMtj ntj }zt||d } || } Wn tyid} Ynwt| d } t|d | d} || S|t| } | }Wd|S1swY|S)aiDecode example pdf file into pdf data. Args: value (`str` or `dict`): A string with the absolute pdf file path, a dictionary with keys: - `path`: String with absolute or relative pdf file path. - `bytes`: The bytes of the pdf file. token_per_repo_id (`dict`, *optional*): To access and decode pdf files from private repositories on the Hub, you can pass a dictionary repo_id (`str`) -> token (`bool` or `str`). Returns: `pdfplumber.pdf.PDF` zKDecoding is disabled for this feature. Please use Pdf(decode=True) instead.rNz6To support decoding pdfs, please install 'pdfplumber'.r&r%z@A pdf should have one of 'path' or 'bytes' but both are None in r1z::repo_id)tokenrb)download_config)r! RuntimeErrorr r2r3 ImportErrorr;ropensplit startswith HF_ENDPOINTHUB_DATASETS_URLHUB_DATASETS_HFFS_URLrr8r rr)r-r/token_per_repo_idr3r&bytes_r source_urlpatternr@rArCfprrrdecode_examplesD       zPdf.decode_examplercCs(ddlm}|jr |S|d|ddS)zfIf in the decodable state, return the feature itself, otherwise flatten the feature into a dictionary.r)Valuebinarystringr$)featuresrSr!)r-rSrrrflattens z Pdf.flattenstoragecCs<tj|jr%tjdgt|td}tjj||gddg| d}nstj |jrJtjdgt|t d}tjj||gddg| d}nNtj |jr|j ddkr_|d}ntjdgt|td}|j ddkr{|d}ntjdgt|t d}tjj||gddg| d}t||jS)aCast an Arrow array to the Pdf arrow storage type. The Arrow types that can be converted to the Pdf pyarrow storage type are: - `pa.string()` - it must contain the "path" data - `pa.binary()` - it must contain the image bytes - `pa.struct({"bytes": pa.binary()})` - `pa.struct({"path": pa.string()})` - `pa.struct({"bytes": pa.binary(), "path": pa.string()})` - order doesn't matter - `pa.list(*)` - it must contain the pdf array data Args: storage (`Union[pa.StringArray, pa.StructArray, pa.ListArray]`): PyArrow array to cast. Returns: `pa.StructArray`: Array in the Pdf arrow storage type, that is `pa.struct({"bytes": pa.binary(), "path": pa.string()})`. N)typer%r&)maskr)patypes is_stringrYarraylenrT StructArray from_arraysis_null is_binaryrU is_structget_field_indexrrr')r-rX bytes_array path_arrayrrr cast_storages     zPdf.cast_storager,)!__name__ __module__ __qualname____doc__r!bool__annotations__r"r r5r#rr[structrTrUr'rrr+r.r r%dictr<r7rRrrW StringArrayr` ListArrayrhrrrrr s  $$!:( r ) r9 dataclassesrriortypingrrrrr r pyarrowr[r download.download_configr tablerutils.file_utilsrrutils.py_utilsrr3rVrr%rr rrrrs