

'''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__			(    a__ ,       a__ ,       a__ ,       a__ ,       a__ ,       a__ ,       a__ ,       a__ ,       a__ ,       a__ ,       a__ ,       a__ ,       ):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE      = {
         """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),
     }
     __SCREAMING_SNAKE_CASE  ,     __SCREAMING_SNAKE_CASE      = input_paths_and_base_extractors[compression_format]
     if input_path is None:
          __SCREAMING_SNAKE_CASE      = 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(a__		)
     assert base_extractor.is_extractable(a__		)
     __SCREAMING_SNAKE_CASE      = tmp_path / ("""extracted""" if is_archive else """extracted.txt""")
     base_extractor.extract(a__ ,       a__		)
     if is_archive:
          assert output_path.is_dir()
          for file_path in output_path.iterdir():
               assert file_path.name == text_file.name
               __SCREAMING_SNAKE_CASE      = file_path.read_text(encoding="""utf-8"""		)
     else:
          __SCREAMING_SNAKE_CASE      = output_path.read_text(encoding="""utf-8"""		)
     __SCREAMING_SNAKE_CASE      = 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__			(    a__ ,       a__ ,       a__ ,       a__ ,       a__ ,       a__ ,       a__ ,       a__ ,       a__ ,       a__ ,       a__ ,       a__ ,       ):




     """simple docstring"""


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







@pytest.fixture
def   a__			(    a__ ,       a__		):




     """simple docstring"""


     import tarfile

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







@pytest.fixture
def   a__			(    a__		):




     """simple docstring"""


     import tarfile

     __SCREAMING_SNAKE_CASE      = tmp_path / """data_sym_link"""
     directory.mkdir()
     __SCREAMING_SNAKE_CASE      = directory / """tar_file_with_sym_link.tar"""
     os.symlink("""..""" ,       directory / """subdir""" ,       target_is_directory=a__		)
     with tarfile.TarFile(a__ ,       """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__			(    a__ ,       a__ ,       a__ ,       a__ ,       a__ ,       a__		):




     """simple docstring"""


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







def   a__			(    a__		):




     """simple docstring"""


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









'''simple docstring'''



import random
import unittest

import torch

from diffusers import IFInpaintingPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device

from ..pipeline_params import (
    TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS,
    TEXT_GUIDED_IMAGE_INPAINTING_PARAMS,
)
from ..test_pipelines_common import PipelineTesterMixin
from . import IFPipelineTesterMixin







@skip_mps
class 		lowerCAmelCase__  ( a					,   a					,   unittest.TestCase   ):



 """simple docstring"""



 lowerCAmelCase__       = IFInpaintingPipeline
 lowerCAmelCase__       = TEXT_GUIDED_IMAGE_INPAINTING_PARAMS - {"width", "height"}
 lowerCAmelCase__       = TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS
 lowerCAmelCase__       = PipelineTesterMixin.required_optional_params - {"latents"}
 def  UpperCAmelCase__						(						self   :			Optional[int]     )    ->					Dict:


      """simple docstring"""




      return self._get_dummy_components()
 def  UpperCAmelCase__						(						self   :			str   ,				__SCREAMING_SNAKE_CASE   :			List[Any]   ,				__SCREAMING_SNAKE_CASE   :			Dict=0     )    ->					Any:


      """simple docstring"""




      if str(__SCREAMING_SNAKE_CASE     ).startswith("""mps"""     ):
           __SCREAMING_SNAKE_CASE      = torch.manual_seed(__SCREAMING_SNAKE_CASE     )
      else:
           __SCREAMING_SNAKE_CASE      = torch.Generator(device=__SCREAMING_SNAKE_CASE     ).manual_seed(__SCREAMING_SNAKE_CASE     )

      __SCREAMING_SNAKE_CASE      = floats_tensor((1, 3, 32, 32)   ,				rng=random.Random(__SCREAMING_SNAKE_CASE     )     ).to(__SCREAMING_SNAKE_CASE     )
      __SCREAMING_SNAKE_CASE      = floats_tensor((1, 3, 32, 32)   ,				rng=random.Random(__SCREAMING_SNAKE_CASE     )     ).to(__SCREAMING_SNAKE_CASE     )

      __SCREAMING_SNAKE_CASE      = {
          """prompt""": """A painting of a squirrel eating a burger""",
          """image""": image,
          """mask_image""": mask_image,
          """generator""": generator,
          """num_inference_steps""": 2,
          """output_type""": """numpy""",
      }

      return inputs
 @unittest.skipIf(
     torch_device != """cuda""" or not is_xformers_available()   ,				reason="""XFormers attention is only available with CUDA and `xformers` installed"""   ,				)
 def  UpperCAmelCase__						(						self   :			str     )    ->					Optional[int]:


      """simple docstring"""




      self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1E-3     )
 def  UpperCAmelCase__						(						self   :			str     )    ->					List[str]:


      """simple docstring"""




      self._test_save_load_optional_components()
 @unittest.skipIf(torch_device != """cuda"""   ,				reason="""float16 requires CUDA"""     )
 def  UpperCAmelCase__						(						self   :			Dict     )    ->					int:


      """simple docstring"""




      super().test_save_load_floataa(expected_max_diff=1E-1     )
 def  UpperCAmelCase__						(						self   :			List[Any]     )    ->					Optional[int]:


      """simple docstring"""




      self._test_attention_slicing_forward_pass(expected_max_diff=1E-2     )
 def  UpperCAmelCase__						(						self   :			Union[str, Any]     )    ->					List[Any]:


      """simple docstring"""




      self._test_save_load_local()


 def  UpperCAmelCase__						(						self   :			Any     )    ->					List[Any]:


      """simple docstring"""




      self._test_inference_batch_single_identical(
          expected_max_diff=1E-2   ,				)






