

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,
)


A_	:			int  	=      '\\n    Text data.\n    Second line of data.'

A_	:			Dict  	=      'file'

@pytest.fixture(scope="""session""" )
def 						UpperCamelCase (lowercase_:			Union[str, Any] )					->				List[Any]:
	A__							:   List[Any]					       =		tmp_path_factory.mktemp("""data""" ) / (FILE_PATH + """.zstd""")
	A__							:   List[Any]					       =		bytes(lowercase_   ,				"""utf-8""" )
	with zstd.open(lowercase_   ,				"""wb""" ) as f:
		f.write(lowercase_ )
	return path

@pytest.fixture
def 						UpperCamelCase (lowercase_:			Any )					->				Optional[int]:
	with open(os.path.join(tmpfs.local_root_dir   ,				lowercase_ )   ,				"""w""" ) as f:
		f.write(lowercase_ )
	return FILE_PATH

@pytest.mark.parametrize("""compression_format"""   ,				["""gzip""", """xz""", """zstd"""] )
def 						UpperCamelCase (lowercase_:			Dict   ,				lowercase_:			Tuple   ,				lowercase_:			Any   ,				lowercase_:			str   ,				lowercase_:			str   ,				lowercase_:			int )					->				int:
	A__							:   Dict					       =		{"""gzip""": gz_file, """xz""": xz_file, """zstd""": zstd_path}
	A__							:   int					       =		input_paths[compression_format]
	A__							:   int					       =		tmp_path / """cache"""
	A__							:   Dict					       =		DownloadConfig(cache_dir=lowercase_   ,				extract_compressed_file=lowercase_ )
	A__							:   int					       =		cached_path(lowercase_   ,				download_config=lowercase_ )
	with open(lowercase_ ) as f:
		A__							:   int					       =		f.read()
	with open(lowercase_ ) as f:
		A__							:   List[str]					       =		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 						UpperCamelCase (lowercase_:			int   ,				lowercase_:			int   ,				lowercase_:			int   ,				lowercase_:			Union[str, Any]   ,				lowercase_:			Any )					->				Union[str, Any]:
	A__							:   Dict					       =		"""custom_cache"""
	A__							:   Optional[Any]					       =		"""custom_extracted_dir"""
	A__							:   Dict					       =		tmp_path / """custom_extracted_path"""
	if default_extracted:
		A__							:   Optional[int]					       =		("""downloads""" if default_cache_dir else custom_cache_dir, """extracted""")
	else:
		monkeypatch.setattr("""datasets.config.EXTRACTED_DATASETS_DIR"""   ,				lowercase_ )
		monkeypatch.setattr("""datasets.config.EXTRACTED_DATASETS_PATH"""   ,				str(lowercase_ ) )
		A__							:   Optional[Any]					       =		custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

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

def 						UpperCamelCase (lowercase_:			List[Any] )					->				str:
	# absolute path
	A__							:   Any					       =		str(Path(lowercase_ ).resolve() )
	assert cached_path(lowercase_ ) == text_file
	# relative path
	A__							:   Any					       =		str(Path(lowercase_ ).resolve().relative_to(Path(os.getcwd() ) ) )
	assert cached_path(lowercase_ ) == text_file

def 						UpperCamelCase (lowercase_:			Optional[Any] )					->				Any:
	# absolute path
	A__							:   str					       =		str(tmp_path.resolve() / """__missing_file__.txt""" )
	with pytest.raises(lowercase_ ):
		cached_path(lowercase_ )
	# relative path
	A__							:   Optional[int]					       =		"""./__missing_file__.txt"""
	with pytest.raises(lowercase_ ):
		cached_path(lowercase_ )

def 						UpperCamelCase (lowercase_:			Optional[int] )					->				Union[str, Any]:
	A__							:   Tuple					       =		get_from_cache(f"""tmp://{tmpfs_file}""" )
	with open(lowercase_ ) as f:
		A__							:   Any					       =		f.read()
	assert output_file_content == FILE_CONTENT

@patch("""datasets.config.HF_DATASETS_OFFLINE"""   ,				lowercase_ )
def 						UpperCamelCase ()					->				str:
	with pytest.raises(lowercase_ ):
		cached_path("""https://huggingface.co""" )

@patch("""datasets.config.HF_DATASETS_OFFLINE"""   ,				lowercase_ )
def 						UpperCamelCase (lowercase_:			Union[str, Any] )					->				Union[str, Any]:
	A__							:   Any					       =		tmp_path_factory.mktemp("""data""" ) / """file.html"""
	with pytest.raises(lowercase_ ):
		http_get("""https://huggingface.co"""   ,				temp_file=lowercase_ )
	with pytest.raises(lowercase_ ):
		http_head("""https://huggingface.co""" )

@patch("""datasets.config.HF_DATASETS_OFFLINE"""   ,				lowercase_ )
def 						UpperCamelCase (lowercase_:			List[str] )					->				int:
	A__							:   Optional[Any]					       =		tmp_path_factory.mktemp("""data""" ) / """file.html"""
	with pytest.raises(lowercase_ ):
		ftp_get("""ftp://huggingface.co"""   ,				temp_file=lowercase_ )
	with pytest.raises(lowercase_ ):
		ftp_head("""ftp://huggingface.co""" )


@patch("""datasets.config.HF_DATASETS_OFFLINE"""   ,				lowercase_ )
def 						UpperCamelCase (lowercase_:			Dict )					->				Dict:
	A__							:   str					       =		tmp_path_factory.mktemp("""data""" ) / """file.html"""
	with pytest.raises(lowercase_ ):
		fsspec_get("""s3://huggingface.co"""   ,				temp_file=lowercase_ )
	with pytest.raises(lowercase_ ):
		fsspec_head("""s3://huggingface.co""" )






from typing import TYPE_CHECKING

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


A_	:			List[Any]  	=      {'configuration_gpt_neox': ['GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTNeoXConfig']}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A_	:			Optional[Any]  	=      ['GPTNeoXTokenizerFast']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A_	:			Optional[int]  	=      [
	    'GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'GPTNeoXForCausalLM',
	    'GPTNeoXForQuestionAnswering',
	    'GPTNeoXForSequenceClassification',
	    'GPTNeoXForTokenClassification',
	    'GPTNeoXLayer',
	    'GPTNeoXModel',
	    'GPTNeoXPreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_gpt_neox import GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXConfig

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_gpt_neox_fast import GPTNeoXTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_gpt_neox import (
		    GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST,
		    GPTNeoXForCausalLM,
		    GPTNeoXForQuestionAnswering,
		    GPTNeoXForSequenceClassification,
		    GPTNeoXForTokenClassification,
		    GPTNeoXLayer,
		    GPTNeoXModel,
		    GPTNeoXPreTrainedModel,
		)


else:
	import sys

	A_	:			Any  	=      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



