



"""simple docstring"""
import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


A:   Optional[Any]								=		"http://www.mocksite.com/file1.txt"
A:   Union[str, Any]								=		"\"text\": [\"foo\", \"foo\"]"
A:   List[Any]								=		"6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8"



class       SCREAMING_SNAKE_CASE__  :
   __lowerCAmelCase  :   Dict						=						200
   __lowerCAmelCase  :   Optional[int]						=						{'Content-Length': '100'}
   __lowerCAmelCase  :   Dict						=						{}

   def 	SCREAMING_SNAKE_CASE     (   self      ,     **_SCREAMING_SNAKE_CASE						)  ->      Union[str, Any]:





    '''simple docstring'''




    return [bytes(_SCREAMING_SNAKE_CASE      ,     """utf-8"""						)]

def       _snake_case						(						*UpperCamelCase						:		Optional[int]			,		**UpperCamelCase						:		Dict						):
 return MockResponse()

@pytest.mark.parametrize("""urls_type"""			,		[str, list, dict]						)
def       _snake_case						(						UpperCamelCase						:		List[str]			,		UpperCamelCase						:		Dict			,		UpperCamelCase						:		int						):
 import requests

 monkeypatch.setattr(UpperCamelCase			,		"""request"""			,		UpperCamelCase						)

 UpperCAmelCase	:					int	=	URL
 if issubclass(UpperCamelCase			,		UpperCamelCase						):
  UpperCAmelCase	:					Tuple	=	url
 elif issubclass(UpperCamelCase			,		UpperCamelCase						):
  UpperCAmelCase	:					Any	=	[url]
 elif issubclass(UpperCamelCase			,		UpperCamelCase						):
  UpperCAmelCase	:					Any	=	{"""train""": url}
 UpperCAmelCase	:					Tuple	=	"""dummy"""
 UpperCAmelCase	:					Dict	=	"""downloads"""
 UpperCAmelCase	:					Optional[Any]	=	tmp_path
 UpperCAmelCase	:					Optional[int]	=	DownloadConfig(
     cache_dir=os.path.join(UpperCamelCase			,		UpperCamelCase						)			,		use_etag=UpperCamelCase			,		)
 UpperCAmelCase	:					str	=	DownloadManager(dataset_name=UpperCamelCase			,		download_config=UpperCamelCase						)
 UpperCAmelCase	:					Optional[Any]	=	dl_manager.download(UpperCamelCase						)
 UpperCAmelCase	:					List[str]	=	urls
 for downloaded_paths in [downloaded_paths]:
  if isinstance(UpperCamelCase			,		UpperCamelCase						):
   UpperCAmelCase	:					int	=	[downloaded_paths]
   UpperCAmelCase	:					Dict	=	[urls]
  elif isinstance(UpperCamelCase			,		UpperCamelCase						):
   assert "train" in downloaded_paths.keys()
   UpperCAmelCase	:					Tuple	=	downloaded_paths.values()
   UpperCAmelCase	:					Optional[Any]	=	urls.values()
  assert downloaded_paths
  for downloaded_path, input_url in zip(UpperCamelCase			,		UpperCamelCase						):
   assert downloaded_path == dl_manager.downloaded_paths[input_url]
   UpperCAmelCase	:					int	=	Path(UpperCamelCase						)
   UpperCAmelCase	:					List[str]	=	downloaded_path.parts
   assert parts[-1] == HASH
   assert parts[-2] == cache_subdir
   assert downloaded_path.exists()
   UpperCAmelCase	:					Optional[Any]	=	downloaded_path.read_text()
   assert content == CONTENT
   UpperCAmelCase	:					Dict	=	downloaded_path.with_suffix(""".json"""						)
   assert metadata_downloaded_path.exists()
   UpperCAmelCase	:					int	=	json.loads(metadata_downloaded_path.read_text()						)
   assert metadata_content == {"url": URL, "etag": None}

@pytest.mark.parametrize("""paths_type"""			,		[str, list, dict]						)
def       _snake_case						(						UpperCamelCase						:		List[Any]			,		UpperCamelCase						:		Dict			,		UpperCamelCase						:		List[Any]						):
 UpperCAmelCase	:					Tuple	=	str(UpperCamelCase						)
 if issubclass(UpperCamelCase			,		UpperCamelCase						):
  UpperCAmelCase	:					Dict	=	filename
 elif issubclass(UpperCamelCase			,		UpperCamelCase						):
  UpperCAmelCase	:					Optional[int]	=	[filename]
 elif issubclass(UpperCamelCase			,		UpperCamelCase						):
  UpperCAmelCase	:					Dict	=	{"""train""": filename}
 UpperCAmelCase	:					str	=	"""dummy"""
 UpperCAmelCase	:					Tuple	=	xz_file.parent
 UpperCAmelCase	:					int	=	"""extracted"""
 UpperCAmelCase	:					Tuple	=	DownloadConfig(
     cache_dir=UpperCamelCase			,		use_etag=UpperCamelCase			,		)
 UpperCAmelCase	:					Dict	=	DownloadManager(dataset_name=UpperCamelCase			,		download_config=UpperCamelCase						)
 UpperCAmelCase	:					Tuple	=	dl_manager.extract(UpperCamelCase						)
 UpperCAmelCase	:					str	=	paths
 for extracted_paths in [extracted_paths]:
  if isinstance(UpperCamelCase			,		UpperCamelCase						):
   UpperCAmelCase	:					Optional[int]	=	[extracted_paths]
   UpperCAmelCase	:					int	=	[paths]
  elif isinstance(UpperCamelCase			,		UpperCamelCase						):
   assert "train" in extracted_paths.keys()
   UpperCAmelCase	:					Union[str, Any]	=	extracted_paths.values()
   UpperCAmelCase	:					Tuple	=	paths.values()
  assert extracted_paths
  for extracted_path, input_path in zip(UpperCamelCase			,		UpperCamelCase						):
   assert extracted_path == dl_manager.extracted_paths[input_path]
   UpperCAmelCase	:					Optional[Any]	=	Path(UpperCamelCase						)
   UpperCAmelCase	:					Optional[int]	=	extracted_path.parts
   assert parts[-1] == hash_url_to_filename(UpperCamelCase			,		etag=UpperCamelCase						)
   assert parts[-2] == extracted_subdir
   assert extracted_path.exists()
   UpperCAmelCase	:					int	=	extracted_path.read_text()
   UpperCAmelCase	:					Tuple	=	text_file.read_text()
   assert extracted_file_content == expected_file_content

def       _snake_case						(						UpperCamelCase						:		Dict			,		UpperCamelCase						:		Dict						):
 assert path.endswith(""".jsonl"""						)
 for num_items, line in enumerate(UpperCamelCase			,		start=1						):
  UpperCAmelCase	:					Optional[int]	=	json.loads(line.decode("""utf-8"""						)						)
  assert item.keys() == {"col_1", "col_2", "col_3"}
 assert num_items == 4

@pytest.mark.parametrize("""archive_jsonl"""			,		["""tar_jsonl_path""", """zip_jsonl_path"""]						)
def       _snake_case						(						UpperCamelCase						:		int			,		UpperCamelCase						:		Tuple						):
 UpperCAmelCase	:					Dict	=	request.getfixturevalue(UpperCamelCase						)
 UpperCAmelCase	:					int	=	DownloadManager()
 for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(UpperCamelCase						)			,		start=1						):
  _test_jsonl(UpperCamelCase			,		UpperCamelCase						)
 assert num_jsonl == 2

@pytest.mark.parametrize("""archive_nested_jsonl"""			,		["""tar_nested_jsonl_path""", """zip_nested_jsonl_path"""]						)
def       _snake_case						(						UpperCamelCase						:		Optional[Any]			,		UpperCamelCase						:		int						):
 UpperCAmelCase	:					Optional[int]	=	request.getfixturevalue(UpperCamelCase						)
 UpperCAmelCase	:					List[str]	=	DownloadManager()
 for num_tar, (path, file) in enumerate(dl_manager.iter_archive(UpperCamelCase						)			,		start=1						):
  for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(UpperCamelCase						)			,		start=1						):
   _test_jsonl(UpperCamelCase			,		UpperCamelCase						)
 assert num_tar == 1
 assert num_jsonl == 2

def       _snake_case						(						UpperCamelCase						:		str						):
 UpperCAmelCase	:					str	=	DownloadManager()
 for num_file, file in enumerate(dl_manager.iter_files(UpperCamelCase						)			,		start=1						):
  assert os.path.basename(UpperCamelCase						) == ("test.txt" if num_file == 1 else "train.txt")
 assert num_file == 2



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


if is_sentencepiece_available():
						from ..ta.tokenization_ta import TaTokenizer
else:
						from ...utils.dummy_sentencepiece_objects import TaTokenizer

lowerCAmelCase							:  Any   	=						TaTokenizer

if is_tokenizers_available():
						from ..ta.tokenization_ta_fast import TaTokenizerFast
else:
						from ...utils.dummy_tokenizers_objects import TaTokenizerFast

lowerCAmelCase							:  Dict   	=						TaTokenizerFast

lowerCAmelCase							:  Optional[int]   	=						{"""configuration_mt5""": ["""MT5Config""", """MT5OnnxConfig"""]}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase							:  int   	=						[
						    """MT5EncoderModel""",
						    """MT5ForConditionalGeneration""",
						    """MT5ForQuestionAnswering""",
						    """MT5Model""",
						    """MT5PreTrainedModel""",
						    """MT5Stack""",
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase							:  Tuple   	=						["""TFMT5EncoderModel""", """TFMT5ForConditionalGeneration""", """TFMT5Model"""]

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase							:  List[str]   	=						["""FlaxMT5EncoderModel""", """FlaxMT5ForConditionalGeneration""", """FlaxMT5Model"""]


if TYPE_CHECKING:
						from .configuration_mta import MTaConfig, MTaOnnxConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_mta import (
												    MTaEncoderModel,
												    MTaForConditionalGeneration,
												    MTaForQuestionAnswering,
												    MTaModel,
												    MTaPreTrainedModel,
												    MTaStack,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_mta import TFMTaEncoderModel, TFMTaForConditionalGeneration, TFMTaModel

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_mta import FlaxMTaEncoderModel, FlaxMTaForConditionalGeneration, FlaxMTaModel

else:
						import sys

						lowerCAmelCase							:  Optional[Any]   	=						_LazyModule(
						    __name__,
						    globals()["""__file__"""],
						    _import_structure,
						    extra_objects={"""MT5Tokenizer""": MTaTokenizer, """MT5TokenizerFast""": MTaTokenizerFast},
						    module_spec=__spec__,
						)






