



'''simple docstring'''





import os
import zipfile

import pytest

from datasets.utils.extract import (
    BzipaExtractor,
    Extractor,
    GzipExtractor,
    LzaExtractor,
    SevenZipExtractor,
    TarExtractor,
    XzExtractor,
    ZipExtractor,
    ZstdExtractor,
)

from .utils import require_lza, require_pyazr, require_zstandard




@pytest.mark.parametrize(
    "compression_format, is_archive"     ,[
        ("7z", True),
        ("bz2", False),
        ("gzip", False),
        ("lz4", False),
        ("tar", True),
        ("xz", False),
        ("zip", True),
        ("zstd", False),
    ]     ,)
def        lowerCamelCase  (				_snake_case  :						Dict     ,_snake_case  :						str     ,_snake_case  :						List[Any]     ,_snake_case  :						Optional[int]     ,_snake_case  :						Optional[Any]     ,_snake_case  :						List[Any]     ,_snake_case  :						int     ,_snake_case  :						int     ,_snake_case  :						Any     ,_snake_case  :						Optional[int]     ,_snake_case  :						List[str]     ,_snake_case  :						int     ,):





    '''simple docstring'''


    lowercase__		       =						{
        "7z": (seven_zip_file, SevenZipExtractor),
        "bz2": (bza_file, BzipaExtractor),
        "gzip": (gz_file, GzipExtractor),
        "lz4": (lza_file, LzaExtractor),
        "tar": (tar_file, TarExtractor),
        "xz": (xz_file, XzExtractor),
        "zip": (zip_file, ZipExtractor),
        "zstd": (zstd_file, ZstdExtractor),
    }
    lowercase__       ,       lowercase__		       =						input_paths_and_base_extractors[compression_format]
    if input_path is None:
        lowercase__		       =						f'''for \'{compression_format}\' compression_format, '''
        if compression_format == "7z":
            reason += require_pyazr.kwargs["reason"]
        elif compression_format == "lz4":
            reason += require_lza.kwargs["reason"]
        elif compression_format == "zstd":
            reason += require_zstandard.kwargs["reason"]
        pytest.skip(_snake_case       )
    assert base_extractor.is_extractable(_snake_case       )
    lowercase__		       =						tmp_path / ("extracted" if is_archive else "extracted.txt")
    base_extractor.extract(_snake_case     ,_snake_case       )
    if is_archive:
        assert output_path.is_dir()
        for file_path in output_path.iterdir():
            assert file_path.name == text_file.name
            lowercase__		       =						file_path.read_text(encoding="utf-8"       )
    else:
        lowercase__		       =						output_path.read_text(encoding="utf-8"       )
    lowercase__		       =						text_file.read_text(encoding="utf-8"       )
    assert extracted_file_content == expected_file_content




@pytest.mark.parametrize(
    "compression_format, is_archive"     ,[
        ("7z", True),
        ("bz2", False),
        ("gzip", False),
        ("lz4", False),
        ("tar", True),
        ("xz", False),
        ("zip", True),
        ("zstd", False),
    ]     ,)
def        lowerCamelCase  (				_snake_case  :						Any     ,_snake_case  :						int     ,_snake_case  :						Optional[Any]     ,_snake_case  :						List[str]     ,_snake_case  :						str     ,_snake_case  :						Union[str, Any]     ,_snake_case  :						Optional[int]     ,_snake_case  :						Any     ,_snake_case  :						List[Any]     ,_snake_case  :						Optional[int]     ,_snake_case  :						List[str]     ,_snake_case  :						Optional[int]     ,):





    '''simple docstring'''


    lowercase__		       =						{
        "7z": seven_zip_file,
        "bz2": bza_file,
        "gzip": gz_file,
        "lz4": lza_file,
        "tar": tar_file,
        "xz": xz_file,
        "zip": zip_file,
        "zstd": zstd_file,
    }
    lowercase__		       =						input_paths[compression_format]
    if input_path is None:
        lowercase__		       =						f'''for \'{compression_format}\' compression_format, '''
        if compression_format == "7z":
            reason += require_pyazr.kwargs["reason"]
        elif compression_format == "lz4":
            reason += require_lza.kwargs["reason"]
        elif compression_format == "zstd":
            reason += require_zstandard.kwargs["reason"]
        pytest.skip(_snake_case       )
    lowercase__		       =						Extractor.infer_extractor_format(_snake_case       )
    assert extractor_format is not None
    lowercase__		       =						tmp_path / ("extracted" if is_archive else "extracted.txt")
    Extractor.extract(_snake_case     ,_snake_case     ,_snake_case       )
    if is_archive:
        assert output_path.is_dir()
        for file_path in output_path.iterdir():
            assert file_path.name == text_file.name
            lowercase__		       =						file_path.read_text(encoding="utf-8"       )
    else:
        lowercase__		       =						output_path.read_text(encoding="utf-8"       )
    lowercase__		       =						text_file.read_text(encoding="utf-8"       )
    assert extracted_file_content == expected_file_content




@pytest.fixture
def        lowerCamelCase  (				_snake_case  :						int     ,_snake_case  :						Optional[Any]       ):





    '''simple docstring'''


    import tarfile

    lowercase__		       =						tmp_path / "data_dot_dot"
    directory.mkdir()
    lowercase__		       =						directory / "tar_file_with_dot_dot.tar"
    with tarfile.TarFile(_snake_case     ,"w"       ) as f:
        f.add(_snake_case     ,arcname=os.path.join(".."     ,text_file.name       )       )
    return path




@pytest.fixture
def        lowerCamelCase  (				_snake_case  :						Tuple       ):





    '''simple docstring'''


    import tarfile

    lowercase__		       =						tmp_path / "data_sym_link"
    directory.mkdir()
    lowercase__		       =						directory / "tar_file_with_sym_link.tar"
    os.symlink(".."     ,directory / "subdir"     ,target_is_directory=_snake_case       )
    with tarfile.TarFile(_snake_case     ,"w"       ) as f:
        f.add(str(directory / "subdir"       )     ,arcname="subdir"       )  # str required by os.readlink on Windows and Python < 3.8
    return path




@pytest.mark.parametrize(
    "insecure_tar_file, error_log"     ,[("tar_file_with_dot_dot", "illegal path"), ("tar_file_with_sym_link", "Symlink")]     ,)
def        lowerCamelCase  (				_snake_case  :						Tuple     ,_snake_case  :						Dict     ,_snake_case  :						Tuple     ,_snake_case  :						str     ,_snake_case  :						Optional[Any]     ,_snake_case  :						Optional[Any]       ):





    '''simple docstring'''


    lowercase__		       =						{
        "tar_file_with_dot_dot": tar_file_with_dot_dot,
        "tar_file_with_sym_link": tar_file_with_sym_link,
    }
    lowercase__		       =						insecure_tar_files[insecure_tar_file]
    lowercase__		       =						tmp_path / "extracted"
    TarExtractor.extract(_snake_case     ,_snake_case       )
    assert caplog.text
    for record in caplog.records:
        assert record.levelname == "ERROR"
        assert error_log in record.msg




def        lowerCamelCase  (				_snake_case  :						Tuple       ):





    '''simple docstring'''


    lowercase__		       =						tmpdir / "not_a_zip_file"
    # From: https://github.com/python/cpython/pull/5053
    lowercase__		       =						(
        B"\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01\x00\x00"
        B"\x00\x02\x08\x06\x00\x00\x00\x99\x81\xb6'\x00\x00\x00\x15I"
        B"DATx\x01\x01\n\x00\xf5\xff\x00PK\x05\x06\x00PK\x06\x06\x07"
        B"\xac\x01N\xc6|a\r\x00\x00\x00\x00IEND\xaeB`\x82"
    )
    with not_a_zip_file.open("wb"       ) as f:
        f.write(_snake_case       )
    assert zipfile.is_zipfile(str(_snake_case       )       )  # is a false positive for `zipfile`
    assert not ZipExtractor.is_extractable(_snake_case       )  # but we're right









'''simple docstring'''





import os
import time

import numpy as np
import onnxruntime as ort


SCREAMING_SNAKE_CASE__      					=     "1"
SCREAMING_SNAKE_CASE__      					=     "0"
SCREAMING_SNAKE_CASE__      					=     "1"

SCREAMING_SNAKE_CASE__      					=     ort.SessionOptions()
SCREAMING_SNAKE_CASE__      					=     ort.GraphOptimizationLevel.ORT_DISABLE_ALL
print("Create inference session...")
SCREAMING_SNAKE_CASE__      					=     ["TensorrtExecutionProvider", "CUDAExecutionProvider"]
SCREAMING_SNAKE_CASE__      					=     ort.InferenceSession("model.onnx", sess_options=sess_opt, providers=execution_provider)
SCREAMING_SNAKE_CASE__      					=     ort.RunOptions()

SCREAMING_SNAKE_CASE__      					=     128
SCREAMING_SNAKE_CASE__      					=     1
SCREAMING_SNAKE_CASE__      					=     np.ones((batch, sequence), dtype=np.intaa)
SCREAMING_SNAKE_CASE__      					=     np.ones((batch, sequence), dtype=np.intaa)
SCREAMING_SNAKE_CASE__      					=     np.ones((batch, sequence), dtype=np.intaa)

print("Warm up phase...")
sess.run(
    None,
    {
        sess.get_inputs()[0].name: input_ids,
        sess.get_inputs()[1].name: attention_mask,
        sess.get_inputs()[2].name: token_type_ids,
    },
    run_options=run_opt,
)

print("Start inference...")
SCREAMING_SNAKE_CASE__      					=     time.time()
SCREAMING_SNAKE_CASE__      					=     2000
SCREAMING_SNAKE_CASE__      					=     {}
for iter in range(max_iters):
 SCREAMING_SNAKE_CASE__      					=     sess.run(
     None,
     {
         sess.get_inputs()[0].name: input_ids,
         sess.get_inputs()[1].name: attention_mask,
         sess.get_inputs()[2].name: token_type_ids,
     },
     run_options=run_opt,
 )
print("Average Inference Time = {:.3f} ms".format((time.time() - start_time) * 1000 / max_iters))




