






import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


__UpperCAmelCase				: List[Any]						    =	'''\
    Text data.
    Second line of data.'''

__UpperCAmelCase				: Union[str, Any]						    =	'''file'''





@pytest.fixture(scope="session"   )
def        lowercase_			(     __snake_case  :				Any   )  ->			Optional[Any]:





				'''simple docstring'''


				snake_case__   :Tuple       = tmp_path_factory.mktemp("data"   ) / (FILE_PATH + ".zstd")
				snake_case__   :str       = bytes(_UpperCamelCase						,						"utf-8"   )
				with zstd.open(_UpperCamelCase						,						"wb"   ) as f:
								f.write(_UpperCamelCase   )
				return path





@pytest.fixture
def        lowercase_			(     __snake_case  :				Union[str, Any]   )  ->			Optional[Any]:





				'''simple docstring'''


				with open(os.path.join(tmpfs.local_root_dir						,						_UpperCamelCase   )						,						"w"   ) as f:
								f.write(_UpperCamelCase   )
				return FILE_PATH





@pytest.mark.parametrize("compression_format"						,						["gzip", "xz", "zstd"]   )
def        lowercase_			(     __snake_case  :				Optional[Any]						,						__snake_case  :				Any						,						__snake_case  :				str						,						__snake_case  :				Optional[int]						,						__snake_case  :				List[str]						,						__snake_case  :				List[str]   )  ->			Optional[Any]:





				'''simple docstring'''


				snake_case__   :Optional[Any]       = {"gzip": gz_file, "xz": xz_file, "zstd": zstd_path}
				snake_case__   :List[Any]       = input_paths[compression_format]
				snake_case__   :Optional[Any]       = tmp_path / "cache"
				snake_case__   :Any       = DownloadConfig(cache_dir=_UpperCamelCase						,						extract_compressed_file=_UpperCamelCase   )
				snake_case__   :Dict       = cached_path(_UpperCamelCase						,						download_config=_UpperCamelCase   )
				with open(_UpperCamelCase   ) as f:
								snake_case__   :Dict       = f.read()
				with open(_UpperCamelCase   ) as f:
								snake_case__   :Union[str, Any]       = f.read()
				assert extracted_file_content == expected_file_content





@pytest.mark.parametrize("default_extracted"						,						[True, False]   )
@pytest.mark.parametrize("default_cache_dir"						,						[True, False]   )
def        lowercase_			(     __snake_case  :				Tuple						,						__snake_case  :				Any						,						__snake_case  :				Dict						,						__snake_case  :				Any						,						__snake_case  :				List[Any]   )  ->			Dict:





				'''simple docstring'''


				snake_case__   :Any       = "custom_cache"
				snake_case__   :Tuple       = "custom_extracted_dir"
				snake_case__   :Tuple       = tmp_path / "custom_extracted_path"
				if default_extracted:
								snake_case__   :int       = ("downloads" if default_cache_dir else custom_cache_dir, "extracted")
				else:
								monkeypatch.setattr("datasets.config.EXTRACTED_DATASETS_DIR"						,						_UpperCamelCase   )
								monkeypatch.setattr("datasets.config.EXTRACTED_DATASETS_PATH"						,						str(_UpperCamelCase   )   )
								snake_case__   :Optional[Any]       = custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

				snake_case__   :List[Any]       = xz_file
				snake_case__   :List[Any]       = (
				    DownloadConfig(extract_compressed_file=_UpperCamelCase   )
				    if default_cache_dir
				    else DownloadConfig(cache_dir=tmp_path / custom_cache_dir						,						extract_compressed_file=_UpperCamelCase   )
				)
				snake_case__   :List[str]       = cached_path(_UpperCamelCase						,						download_config=_UpperCamelCase   )
				assert Path(_UpperCamelCase   ).parent.parts[-2:] == expected





def        lowercase_			(     __snake_case  :				Union[str, Any]   )  ->			Dict:





				'''simple docstring'''


				snake_case__   :Union[str, Any]       = str(Path(_UpperCamelCase   ).resolve()   )
				assert cached_path(_UpperCamelCase   ) == text_file
				# relative path
				snake_case__   :int       = str(Path(_UpperCamelCase   ).resolve().relative_to(Path(os.getcwd()   )   )   )
				assert cached_path(_UpperCamelCase   ) == text_file





def        lowercase_			(     __snake_case  :				List[str]   )  ->			Optional[int]:





				'''simple docstring'''


				snake_case__   :int       = str(tmp_path.resolve() / "__missing_file__.txt"   )
				with pytest.raises(_UpperCamelCase   ):
								cached_path(_UpperCamelCase   )
				# relative path
				snake_case__   :List[str]       = "./__missing_file__.txt"
				with pytest.raises(_UpperCamelCase   ):
								cached_path(_UpperCamelCase   )





def        lowercase_			(     __snake_case  :				List[str]   )  ->			List[Any]:





				'''simple docstring'''


				snake_case__   :Tuple       = get_from_cache(F'tmp://{tmpfs_file}'   )
				with open(_UpperCamelCase   ) as f:
								snake_case__   :Tuple       = f.read()
				assert output_file_content == FILE_CONTENT





@patch("datasets.config.HF_DATASETS_OFFLINE"						,						_UpperCamelCase   )
def        lowercase_			(     )  ->			List[str]:





				'''simple docstring'''


				with pytest.raises(_UpperCamelCase   ):
								cached_path("https://huggingface.co"   )





@patch("datasets.config.HF_DATASETS_OFFLINE"						,						_UpperCamelCase   )
def        lowercase_			(     __snake_case  :				Any   )  ->			Union[str, Any]:





				'''simple docstring'''


				snake_case__   :Optional[int]       = tmp_path_factory.mktemp("data"   ) / "file.html"
				with pytest.raises(_UpperCamelCase   ):
								http_get("https://huggingface.co"						,						temp_file=_UpperCamelCase   )
				with pytest.raises(_UpperCamelCase   ):
								http_head("https://huggingface.co"   )





@patch("datasets.config.HF_DATASETS_OFFLINE"						,						_UpperCamelCase   )
def        lowercase_			(     __snake_case  :				Dict   )  ->			Tuple:





				'''simple docstring'''


				snake_case__   :Optional[Any]       = tmp_path_factory.mktemp("data"   ) / "file.html"
				with pytest.raises(_UpperCamelCase   ):
								ftp_get("ftp://huggingface.co"						,						temp_file=_UpperCamelCase   )
				with pytest.raises(_UpperCamelCase   ):
								ftp_head("ftp://huggingface.co"   )





@patch("datasets.config.HF_DATASETS_OFFLINE"						,						_UpperCamelCase   )
def        lowercase_			(     __snake_case  :				Dict   )  ->			Tuple:





				'''simple docstring'''


				snake_case__   :List[str]       = tmp_path_factory.mktemp("data"   ) / "file.html"
				with pytest.raises(_UpperCamelCase   ):
								fsspec_get("s3://huggingface.co"						,						temp_file=_UpperCamelCase   )
				with pytest.raises(_UpperCamelCase   ):
								fsspec_head("s3://huggingface.co"   )





'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCamelCase_		:     Optional[Any]          =		{
    '''configuration_roc_bert''': ['''ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''RoCBertConfig'''],
    '''tokenization_roc_bert''': ['''RoCBertTokenizer'''],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   pass

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCamelCase_		:     Union[str, Any]          =		[
       '''ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''RoCBertForCausalLM''',
       '''RoCBertForMaskedLM''',
       '''RoCBertForMultipleChoice''',
       '''RoCBertForPreTraining''',
       '''RoCBertForQuestionAnswering''',
       '''RoCBertForSequenceClassification''',
       '''RoCBertForTokenClassification''',
       '''RoCBertLayer''',
       '''RoCBertModel''',
       '''RoCBertPreTrainedModel''',
       '''load_tf_weights_in_roc_bert''',
   ]

if TYPE_CHECKING:
   from .configuration_roc_bert import ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RoCBertConfig
   from .tokenization_roc_bert import RoCBertTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      raise OptionalDependencyNotAvailable()

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_roc_bert import (
          ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
          RoCBertForCausalLM,
          RoCBertForMaskedLM,
          RoCBertForMultipleChoice,
          RoCBertForPreTraining,
          RoCBertForQuestionAnswering,
          RoCBertForSequenceClassification,
          RoCBertForTokenClassification,
          RoCBertLayer,
          RoCBertModel,
          RoCBertPreTrainedModel,
          load_tf_weights_in_roc_bert,
      )


else:
   import sys

   UpperCamelCase_		:     int          =		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


