o ҷh@sdZddlmZddlmZddlmZddlZddl Z ddl Z ddl m Z ddl mZe jje jje jdgZdd Zd d Zd d ZdS)zd Tests multithreading behaviour for reading and parsing files for each parser defined in parsers.py ) ExitStack)BytesIO) ThreadPoolN) DataFrame pyarrow_skipc s|}dd}fddt|D}t/fdd|D}td}||j|}|d}|D]}t||q2WddS1sFwYdS) Nd c3s,|]}dddtDVqdS) cSs&g|]}|dd|dd|dqS)d,.0ir r [/var/www/html/venv/lib/python3.10/site-packages/pandas/tests/io/parser/test_multi_thread.py s&zBtest_multi_thread_string_io_read_csv...N)joinrangeencode)r_) max_row_ranger r s  z7test_multi_thread_string_io_read_csv..csg|] }t|qSr ) enter_contextr)rb)stackr rr&sz8test_multi_thread_string_io_read_csv..r)rrrrmapread_csvtmassert_frame_equal) all_parsersparser num_files bytes_to_dffilespoolresults first_resultresultr )rrr$test_multi_thread_string_io_read_csvs "r)c sfdd}fddtD}td}|||}Wdn1s)wY|dj}|ddD]} || _q9t|} | S) a Generate a DataFrame via multi-thread. Parameters ---------- parser : BaseParser The parser object to use for reading the data. path : str The location of the CSV file to read. num_rows : int The number of rows to read per task. num_tasks : int The number of tasks to use for reading this DataFrame. Returns ------- df : DataFrame csB|\}}|sjdd|dgdSjddt|d|dgdS)aj Create a reader for part of the CSV. Parameters ---------- arg : tuple A tuple of the following: * start : int The starting row to start for parsing CSV * nrows : int The number of rows to read. Returns ------- df : DataFrame rdate) index_colheadernrows parse_datesN )r+r,skiprowsr-r.)rint)argstartr-)r!pathr rreaderEs  z0_generate_multi_thread_dataframe..readercs g|] }|fqSr r r )num_rows num_tasksr rrgsz4_generate_multi_thread_dataframe..) processesNrr/)rrrcolumnspdconcat) r!r5r7r8r6tasksr%r&r,rfinal_dataframer )r7r8r!r5r _generate_multi_thread_dataframe1s "   r@cCsd}d}|}d}ttjd|tjd|tjd|tjd|tjd|dg|dg|dg|tjd|d d tj|d d d }t|}| |t ||||}t ||WddS1sqwYdS)N0z__thread_pool_reader__.csvfoobarbazz20000101 09:00:00s)periodsfreqint64)dtype) arcr erDrErFr*r2) rnprandom default_rngr; date_rangearanger ensure_cleanto_csvr@r)r r8r7r! file_namedfr5r?r r r)test_multi_thread_path_multipart_read_csvws0   "rX)__doc__ contextlibriormultiprocessing.poolrnumpyrOpytestpandasr;rpandas._testing_testingrmark single_cpuslow usefixtures pytestmarkr)r@rXr r r rs        F