import unittest
from pathlib import Path
from tempfile import TemporaryDirectory

from transformers import AutoConfig, TFAutoModel, is_tensorflow_text_available, is_tf_available
from transformers.models.bert.tokenization_bert import BertTokenizer
from transformers.testing_utils import require_tensorflow_text, require_tf, slow


if is_tf_available():
      import tensorflow as tf

if is_tensorflow_text_available():
      from transformers.models.bert import TFBertTokenizer


UpperCamelCase__    							= ['bert-base-uncased', 'bert-base-cased']
UpperCamelCase__    							= 'hf-internal-testing/tiny-bert-tf-only'

if is_tf_available():





      class 					A							(    tf.keras.Model					):


         def __init__(self					:						Union[str, Any]	,  __UpperCAmelCase					:						Dict		)						->    List[Any]:
               """simple docstring"""



               super().__init__()
               UpperCAmelCase__								=  tokenizer
               UpperCAmelCase__								=  AutoConfig.from_pretrained(__UpperCAmelCase		)
               UpperCAmelCase__								=  TFAutoModel.from_config(__UpperCAmelCase		)





         def       lowercase_				(self					:						Optional[int]	,  __UpperCAmelCase					:						Optional[Any]		)						->    str:
               """simple docstring"""



               UpperCAmelCase__								=  self.tokenizer(__UpperCAmelCase		)
               UpperCAmelCase__								=  self.bert(**__UpperCAmelCase		)
               return out["pooler_output"]





@require_tf
@require_tensorflow_text
class 					A							(    unittest.TestCase					):


   def       lowercase_				(self					:						str		)						->    Optional[int]:
         """simple docstring"""



         super().setUp()

         UpperCAmelCase__								=  [
             BertTokenizer.from_pretrained(__UpperCAmelCase		) for checkpoint in (TOKENIZER_CHECKPOINTS * 2)
         ]  # repeat for when fast_bert_tokenizer=false
         UpperCAmelCase__								=  [TFBertTokenizer.from_pretrained(__UpperCAmelCase		) for checkpoint in TOKENIZER_CHECKPOINTS] + [
             TFBertTokenizer.from_pretrained(__UpperCAmelCase	,  use_fast_bert_tokenizer=__UpperCAmelCase		)
             for checkpoint in TOKENIZER_CHECKPOINTS
         ]
         assert len(self.tokenizers		) == len(self.tf_tokenizers		)

         UpperCAmelCase__								=  [
             "This is a straightforward English test sentence.",
             "This one has some weird characters\rto\nsee\r\nif  those\u00E9break things.",
             "Now we're going to add some Chinese: 一 二 三 一二三",
             "And some much more rare Chinese: 齉 堃 齉堃",
             "Je vais aussi écrire en français pour tester les accents",
             "Classical Irish also has some unusual characters, so in they go: Gaelaċ, ꝼ",
         ]
         UpperCAmelCase__								=  list(zip(self.test_sentences	,  self.test_sentences[::-1]		)		)


   def       lowercase_				(self					:						int		)						->    str:
         """simple docstring"""



         for tokenizer, tf_tokenizer in zip(self.tokenizers	,  self.tf_tokenizers		):
               for test_inputs in (self.test_sentences, self.paired_sentences):
                     UpperCAmelCase__								=  tokenizer(__UpperCAmelCase	,  return_tensors="tf"	,  padding="longest"		)
                     UpperCAmelCase__								=  tf_tokenizer(__UpperCAmelCase		)

                     for key in python_outputs.keys():
                           self.assertTrue(tf.reduce_all(python_outputs[key].shape == tf_outputs[key].shape		)		)
                           self.assertTrue(tf.reduce_all(tf.cast(python_outputs[key]	,  tf.intaa		) == tf_outputs[key]		)		)


   @slow
   def       lowercase_				(self					:						Optional[Any]		)						->    List[Any]:
         """simple docstring"""



         for tf_tokenizer in self.tf_tokenizers:
               UpperCAmelCase__								=  tf_tokenizer(self.paired_sentences		)
               UpperCAmelCase__								=  tf_tokenizer(
                   text=[sentence[0] for sentence in self.paired_sentences]	,  text_pair=[sentence[1] for sentence in self.paired_sentences]	,  )
               for key in merged_outputs.keys():
                     self.assertTrue(tf.reduce_all(tf.cast(merged_outputs[key]	,  tf.intaa		) == separated_outputs[key]		)		)


   @slow
   def       lowercase_				(self					:						str		)						->    List[str]:
         """simple docstring"""



         for tf_tokenizer in self.tf_tokenizers:
               UpperCAmelCase__								=  tf.function(__UpperCAmelCase		)
               for test_inputs in (self.test_sentences, self.paired_sentences):
                     UpperCAmelCase__								=  tf.constant(__UpperCAmelCase		)
                     UpperCAmelCase__								=  compiled_tokenizer(__UpperCAmelCase		)
                     UpperCAmelCase__								=  tf_tokenizer(__UpperCAmelCase		)

                     for key in eager_outputs.keys():
                           self.assertTrue(tf.reduce_all(eager_outputs[key] == compiled_outputs[key]		)		)





   @slow
   def       lowercase_				(self					:						Tuple		)						->    List[Any]:
         """simple docstring"""



         for tf_tokenizer in self.tf_tokenizers:
               UpperCAmelCase__								=  ModelToSave(tokenizer=__UpperCAmelCase		)
               UpperCAmelCase__								=  tf.convert_to_tensor(self.test_sentences		)
               UpperCAmelCase__								=  model(__UpperCAmelCase		)  # Build model with some sample inputs
               with TemporaryDirectory() as tempdir:
                     UpperCAmelCase__								=  Path(__UpperCAmelCase		) / "saved.model"
                     model.save(__UpperCAmelCase		)
                     UpperCAmelCase__								=  tf.keras.models.load_model(__UpperCAmelCase		)
               UpperCAmelCase__								=  loaded_model(__UpperCAmelCase		)
               # We may see small differences because the loaded model is compiled, so we need an epsilon for the test
               self.assertLessEqual(tf.reduce_max(tf.abs(out - loaded_output		)		)	,  1E-5		)




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_			(					__A,  __A,  __A,  __A,  __A,  __A,  __A,  __A,  __A,  __A,  __A,  __A,  )					->    Any:







      '''simple docstring'''


      UpperCAmelCase__								=  {
          "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),
      }
      UpperCAmelCase__		,				UpperCAmelCase__								=  input_paths_and_base_extractors[compression_format]
      if input_path is None:
            UpperCAmelCase__								=  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							)
      UpperCAmelCase__								=  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
                  UpperCAmelCase__								=  file_path.read_text(encoding="utf-8"							)
      else:
            UpperCAmelCase__								=  output_path.read_text(encoding="utf-8"							)
      UpperCAmelCase__								=  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_			(					__A,  __A,  __A,  __A,  __A,  __A,  __A,  __A,  __A,  __A,  __A,  __A,  )					->    List[Any]:







      '''simple docstring'''


      UpperCAmelCase__								=  {
          "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,
      }
      UpperCAmelCase__								=  input_paths[compression_format]
      if input_path is None:
            UpperCAmelCase__								=  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							)
      UpperCAmelCase__								=  Extractor.infer_extractor_format(__A							)
      assert extractor_format is not None
      UpperCAmelCase__								=  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
                  UpperCAmelCase__								=  file_path.read_text(encoding="utf-8"							)
      else:
            UpperCAmelCase__								=  output_path.read_text(encoding="utf-8"							)
      UpperCAmelCase__								=  text_file.read_text(encoding="utf-8"							)
      assert extracted_file_content == expected_file_content




@pytest.fixture
def        lowerCAmelCase_			(					__A,  __A							)					->    List[str]:







      '''simple docstring'''


      import tarfile

      UpperCAmelCase__								=  tmp_path / "data_dot_dot"
      directory.mkdir()
      UpperCAmelCase__								=  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        lowerCAmelCase_			(					__A							)					->    Dict:







      '''simple docstring'''


      import tarfile

      UpperCAmelCase__								=  tmp_path / "data_sym_link"
      directory.mkdir()
      UpperCAmelCase__								=  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        lowerCAmelCase_			(					__A,  __A,  __A,  __A,  __A,  __A							)					->    Dict:







      '''simple docstring'''


      UpperCAmelCase__								=  {
          "tar_file_with_dot_dot": tar_file_with_dot_dot,
          "tar_file_with_sym_link": tar_file_with_sym_link,
      }
      UpperCAmelCase__								=  insecure_tar_files[insecure_tar_file]
      UpperCAmelCase__								=  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        lowerCAmelCase_			(					__A							)					->    Any:







      '''simple docstring'''


      UpperCAmelCase__								=  tmpdir / "not_a_zip_file"
      # From: https://github.com/python/cpython/pull/5053
      UpperCAmelCase__								=  (
          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



