+ NV-jRt^RIHt^RIHt^RIHt^RIt^RIH t ^RI H t ^RI H t ^RIHt^R IHt^R IHtHt]'d^R IHt] !R 4R ] P.3RRll4tRRRlltR#)zio on the clipboard) annotations)StringIO) TYPE_CHECKINGN)lib) set_module)find_stack_level)check_dtype_backend) ABCDataFrame) get_optionoption_context) DtypeBackendpandasz\s+c V^8dQhRRRR/#)sepstr dtype_backendzDtypeBackend | lib.NoDefault)formats"e/Volumes/fast/ai/experiments/ui-tars-smoke/.venv/lib/python3.14/site-packages/pandas/io/clipboards.py __annotate__rs$jTjT jT/jTc VPRR4pVe1VP4PRR4R8wd \R4h\ V4^RIHp^R IHpV!4pTPVPR4;'g \R 44pVR ,PR 4RRR ,pVUu0uF"qPR4PR4kK$ p p\!V4^8d\!V 4^8Xd|V P4^8wdgRp\!V^,4\!V^,PR44, p V ^8wd%VP#R\%\'V 444M&\)V\*4'g\-RV: R24h\!V4^8dVPR4fRVR&MF\!V4^8d7VPR4R8Xd!\.P0!R\34R7V!\5V43RVRV/VB# \dELi;iuupi)aN Read text from clipboard and pass to :func:`~pandas.read_csv`. Parses clipboard contents similar to how CSV files are parsed using :func:`~pandas.read_csv`. Parameters ---------- sep : str, default '\\s+' A string or regex delimiter. The default of ``'\\s+'`` denotes one or more whitespace characters. dtype_backend : {'numpy_nullable', 'pyarrow'} Back-end data type applied to the resultant :class:`DataFrame` (still experimental). If not specified, the default behavior is to not use nullable data types. If specified, the behavior is as follows: * ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame` * ``"pyarrow"``: returns pyarrow-backed nullable :class:`ArrowDtype` :class:`DataFrame` .. versionadded:: 2.0 **kwargs See :func:`~pandas.read_csv` for the full argument list. Returns ------- DataFrame A parsed :class:`~pandas.DataFrame` object. See Also -------- DataFrame.to_clipboard : Copy object to the system clipboard. read_csv : Read a comma-separated values (csv) file into DataFrame. read_fwf : Read a table of fixed-width formatted lines into DataFrame. Examples -------- >>> df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=["A", "B", "C"]) >>> df.to_clipboard() # doctest: +SKIP >>> pd.read_clipboard() # doctest: +SKIP A B C 0 1 2 3 1 4 5 6 encodingutf-8N-utf8z3reading from clipboard only supports utf-8 encoding) clipboard_get)read_csvzdisplay.encoding:Ni'N :N N  z index_colzsep=z must be a stringenginepythonczIread_clipboard with regex separator does not work properly with c engine. stacklevelrr)poplowerreplaceNotImplementedErrorrpandas.io.clipboardrpandas.io.parsersrdecodegetr AttributeErrorsplitlstripcountlen setdefaultlistrange isinstancer ValueErrorwarningswarnrr) rrkwargsrrrtextlinesxcounts index_lengths &&, rread_clipboardrEsjzz*g.H 0 8 8b AV K!"WXX &1* ?D {{6::j1SSZ@R5ST L  t $Sb )# .E27 7Ahhsm!!$'F 7 5zA~#f+*vzz|q/@58}s58??5+A'BB 1    k4l0C+D E S ! !DC6!2344 3x!| 8,4#x SA&**X.#5 W') HTN S S= SF SSK    8s&"H/ H/?(I/ H>=H>c$V^8dQhRRRRRR/#)rexcelz bool | Nonerz str | NonereturnNoner)rs"rrrs)AAA)3A Arc VPRR4pVe1VP4PRR4R8wd \R4h^RIHpVfR pV'dCVfR p\ 4pVP!V3R VRR/VBVP4pV!V4R#Ve!\P!R\4R 7\V\4'd1\RR4;_uu_4VP !R/VBpRRR4M \#V4pV!X4R# \d$\P!R \4R 7Li;i +'giLK;i)ab Attempt to write text representation of object to the system clipboard The clipboard can be then pasted into Excel for example. Parameters ---------- obj : the object to write to the clipboard excel : bool, defaults to True if True, use the provided separator, writing in a csv format for allowing easy pasting into excel. if False, write a string representation of the object to the clipboard sep : optional, defaults to tab other keywords are passed to to_csv Notes ----- Requirements for your platform - Linux: xclip, or xsel (with PyQt4 modules) - Windows: - OS X: rrNrrrz&clipboard only supports utf-8 encoding) clipboard_setTr#rzAto_clipboard in excel mode requires a single character separator.r(z7to_clipboard with excel=False ignores the sep argument.zdisplay.max_colwidthr)r+r,r-r<r/rKrto_csvgetvalue TypeErrorr=r>rr;r r to_stringr) objrGrr?rrKbufr@objstrs &&&, r to_clipboardrSs02zz*g.H 0 8 8b AV KABB1 }  {*C JJs @ @g @ @<<>D $    E') #|$$ 2D 9 9]],V,F: 9S&#  MMS+-  : 9s?D+E +E  E  E )TN)__doc__ __future__riortypingrr= pandas._libsrpandas.util._decoratorsrpandas.util._exceptionsrpandas.util._validatorsrpandas.core.dtypes.genericr r r r pandas._typingr no_defaultrErSrrrr_sd" .473 + H25..jTjTZAAr