





'''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 	__a(SCREAMING_SNAKE_CASE_  :					Union[str, Any]		,       SCREAMING_SNAKE_CASE_  :					Tuple		,       SCREAMING_SNAKE_CASE_  :					Optional[Any]		,       SCREAMING_SNAKE_CASE_  :					Union[str, Any]		,       SCREAMING_SNAKE_CASE_  :					Dict		,       SCREAMING_SNAKE_CASE_  :					int		,       SCREAMING_SNAKE_CASE_  :					int		,       SCREAMING_SNAKE_CASE_  :					int		,       SCREAMING_SNAKE_CASE_  :					int		,       SCREAMING_SNAKE_CASE_  :					Optional[Any]		,       SCREAMING_SNAKE_CASE_  :					Union[str, Any]		,       SCREAMING_SNAKE_CASE_  :					Optional[int]		,       ):



    '''simple docstring'''





    _lowerCAmelCase				=      {
        "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),
    }
    _lowerCAmelCase			,			_lowerCAmelCase				=      input_paths_and_base_extractors[compression_format]
    if input_path is None:
        _lowerCAmelCase				=      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(SCREAMING_SNAKE_CASE_    )
    assert base_extractor.is_extractable(SCREAMING_SNAKE_CASE_    )
    _lowerCAmelCase				=      tmp_path / ("extracted" if is_archive else "extracted.txt")
    base_extractor.extract(SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_    )
    if is_archive:
        assert output_path.is_dir()
        for file_path in output_path.iterdir():
            assert file_path.name == text_file.name
            _lowerCAmelCase				=      file_path.read_text(encoding="utf-8"    )
    else:
        _lowerCAmelCase				=      output_path.read_text(encoding="utf-8"    )
    _lowerCAmelCase				=      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 	__a(SCREAMING_SNAKE_CASE_  :					Optional[int]		,       SCREAMING_SNAKE_CASE_  :					Optional[int]		,       SCREAMING_SNAKE_CASE_  :					List[Any]		,       SCREAMING_SNAKE_CASE_  :					str		,       SCREAMING_SNAKE_CASE_  :					Optional[int]		,       SCREAMING_SNAKE_CASE_  :					Any		,       SCREAMING_SNAKE_CASE_  :					Optional[Any]		,       SCREAMING_SNAKE_CASE_  :					List[str]		,       SCREAMING_SNAKE_CASE_  :					Optional[Any]		,       SCREAMING_SNAKE_CASE_  :					str		,       SCREAMING_SNAKE_CASE_  :					List[Any]		,       SCREAMING_SNAKE_CASE_  :					int		,       ):



    '''simple docstring'''





    _lowerCAmelCase				=      {
        "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,
    }
    _lowerCAmelCase				=      input_paths[compression_format]
    if input_path is None:
        _lowerCAmelCase				=      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(SCREAMING_SNAKE_CASE_    )
    _lowerCAmelCase				=      Extractor.infer_extractor_format(SCREAMING_SNAKE_CASE_    )
    assert extractor_format is not None
    _lowerCAmelCase				=      tmp_path / ("extracted" if is_archive else "extracted.txt")
    Extractor.extract(SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_    )
    if is_archive:
        assert output_path.is_dir()
        for file_path in output_path.iterdir():
            assert file_path.name == text_file.name
            _lowerCAmelCase				=      file_path.read_text(encoding="utf-8"    )
    else:
        _lowerCAmelCase				=      output_path.read_text(encoding="utf-8"    )
    _lowerCAmelCase				=      text_file.read_text(encoding="utf-8"    )
    assert extracted_file_content == expected_file_content


@pytest.fixture
def 	__a(SCREAMING_SNAKE_CASE_  :					Any		,       SCREAMING_SNAKE_CASE_  :					str    ):



    '''simple docstring'''





    import tarfile

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


@pytest.fixture
def 	__a(SCREAMING_SNAKE_CASE_  :					Dict    ):



    '''simple docstring'''





    import tarfile

    _lowerCAmelCase				=      tmp_path / "data_sym_link"
    directory.mkdir()
    _lowerCAmelCase				=      directory / "tar_file_with_sym_link.tar"
    os.symlink(".."		,       directory / "subdir"		,       target_is_directory=SCREAMING_SNAKE_CASE_    )
    with tarfile.TarFile(SCREAMING_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 	__a(SCREAMING_SNAKE_CASE_  :					List[Any]		,       SCREAMING_SNAKE_CASE_  :					Tuple		,       SCREAMING_SNAKE_CASE_  :					int		,       SCREAMING_SNAKE_CASE_  :					Union[str, Any]		,       SCREAMING_SNAKE_CASE_  :					Optional[int]		,       SCREAMING_SNAKE_CASE_  :					Union[str, Any]    ):



    '''simple docstring'''





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





def 	__a(SCREAMING_SNAKE_CASE_  :					Optional[Any]    ):



    '''simple docstring'''





    _lowerCAmelCase				=      tmpdir / "not_a_zip_file"
    # From: https://github.com/python/cpython/pull/5053
    _lowerCAmelCase				=      (
        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(SCREAMING_SNAKE_CASE_    )
    assert zipfile.is_zipfile(str(SCREAMING_SNAKE_CASE_    )    )  # is a false positive for `zipfile`
    assert not ZipExtractor.is_extractable(SCREAMING_SNAKE_CASE_    )  # but we're right









'''simple docstring'''


from typing import List, Union

import numpy as np

from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging, requires_backends
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_vision_available():
       from PIL import Image

       from ..image_utils import load_image

if is_torch_available():
       import torch

       from ..models.auto.modeling_auto import MODEL_FOR_DEPTH_ESTIMATION_MAPPING

_SCREAMING_SNAKE_CASE	 =							logging.get_logger(__name__)

@add_end_docstrings(__magic_name__		)
class    lowerCAmelCase_		(		__magic_name__		):




 def __init__(	self			,     *_lowerCAmelCase			,     **_lowerCAmelCase		)    ->							List[Any]:
     super().__init__(*_lowerCAmelCase			,     **_lowerCAmelCase		)
     requires_backends(self			,     "vision"		)
     self.check_model_type(_lowerCAmelCase		)




 def __call__(	self			,     _lowerCAmelCase			,     **_lowerCAmelCase		)    ->							str:
     return super().__call__(_lowerCAmelCase			,     **_lowerCAmelCase		)




 def 							_snake_case   (	self			,     **_lowerCAmelCase		)    ->							Tuple:
     return {}, {}, {}




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							Union[str, Any]:
     _lowerCAmelCase				=      load_image(_lowerCAmelCase		)
     _lowerCAmelCase				=      image.size
     _lowerCAmelCase				=      self.image_processor(images=_lowerCAmelCase			,     return_tensors=self.framework		)
     return model_inputs




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							Tuple:
     _lowerCAmelCase				=      self.model(**_lowerCAmelCase		)
     return model_outputs





 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							Optional[Any]:
     _lowerCAmelCase				=      model_outputs.predicted_depth
     _lowerCAmelCase				=      torch.nn.functional.interpolate(
         predicted_depth.unsqueeze(1		)			,     size=self.image_size[::-1]			,     mode="bicubic"			,     align_corners=_lowerCAmelCase		)
     _lowerCAmelCase				=      prediction.squeeze().cpu().numpy()
     _lowerCAmelCase				=      (output * 255 / np.max(_lowerCAmelCase		)).astype("uint8"		)
     _lowerCAmelCase				=      Image.fromarray(_lowerCAmelCase		)
     _lowerCAmelCase				=      {}
     _lowerCAmelCase				=      predicted_depth
     _lowerCAmelCase				=      depth
     return output_dict


