


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


SCREAMING_SNAKE_CASE__					:     Tuple       =     'http://www.mocksite.com/file1.txt'
SCREAMING_SNAKE_CASE__					:     Any       =     '"text": ["foo", "foo"]'
SCREAMING_SNAKE_CASE__					:     Dict       =     '6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8'


class 		_SCREAMING_SNAKE_CASE     :
     __SCREAMING_SNAKE_CASE     					=    2_0_0
     __SCREAMING_SNAKE_CASE     					=    {'''Content-Length''': '''100'''}
     __SCREAMING_SNAKE_CASE     					=    {}


     def        __snake_case(  self							,					**A_    ):
       return [bytes(A_							,					"""utf-8"""    )]




def    a__    (		*snake_case__					:							int						,   **snake_case__					:							Optional[Any]     ):
  return MockResponse()




@pytest.mark.parametrize("""urls_type"""						,   [str, list, dict]     )
def    a__    (		snake_case__					:							List[Any]						,   snake_case__					:							Tuple						,   snake_case__					:							int     ):
  import requests

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

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




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




def    a__    (		snake_case__					:							List[str]						,   snake_case__					:							Dict     ):
  assert path.endswith(""".jsonl"""     )
  for num_items, line in enumerate(snake_case__						,   start=1     ):
    _UpperCAmelCase		:							Optional[Any]							=     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    a__    (		snake_case__					:							int						,   snake_case__					:							int     ):
  _UpperCAmelCase		:							str							=     request.getfixturevalue(snake_case__     )
  _UpperCAmelCase		:							Tuple							=     DownloadManager()
  for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(snake_case__     )						,   start=1     ):
    _test_jsonl(snake_case__						,   snake_case__     )
  assert num_jsonl == 2




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





def    a__    (		snake_case__					:							Union[str, Any]     ):
  _UpperCAmelCase		:							Dict							=     DownloadManager()
  for num_file, file in enumerate(dl_manager.iter_files(snake_case__     )						,   start=1     ):
    assert os.path.basename(snake_case__     ) == ("test.txt" if num_file == 1 else "train.txt")
  assert num_file == 2









from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE__					:     Optional[int]       =     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__					:     List[str]       =     {
    'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/config.json',
    'umberto-commoncrawl-cased-v1': (
        'https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json'
    ),
    'umberto-wikipedia-uncased-v1': (
        'https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json'
    ),
}


class 		_SCREAMING_SNAKE_CASE     (						A     ):
     __SCREAMING_SNAKE_CASE     					=    '''camembert'''


     def __init__(  self							,					A_=3_05_22							,					A_=7_68							,					A_=12							,					A_=12							,					A_=30_72							,					A_="gelu"							,					A_=0.1							,					A_=0.1							,					A_=5_12							,					A_=2							,					A_=0.0_2							,					A_=1e-12							,					A_=1							,					A_=0							,					A_=2							,					A_="absolute"							,					A_=True							,					A_=None							,					**A_							,					):
       super().__init__(pad_token_id=A_							,					bos_token_id=A_							,					eos_token_id=A_							,					**A_    )

       _UpperCAmelCase		:							Optional[Any]							=     vocab_size
       _UpperCAmelCase		:							int							=     hidden_size
       _UpperCAmelCase		:							Any							=     num_hidden_layers
       _UpperCAmelCase		:							Optional[Any]							=     num_attention_heads
       _UpperCAmelCase		:							Dict							=     hidden_act
       _UpperCAmelCase		:							str							=     intermediate_size
       _UpperCAmelCase		:							str							=     hidden_dropout_prob
       _UpperCAmelCase		:							List[Any]							=     attention_probs_dropout_prob
       _UpperCAmelCase		:							List[Any]							=     max_position_embeddings
       _UpperCAmelCase		:							Union[str, Any]							=     type_vocab_size
       _UpperCAmelCase		:							List[Any]							=     initializer_range
       _UpperCAmelCase		:							Optional[Any]							=     layer_norm_eps
       _UpperCAmelCase		:							int							=     position_embedding_type
       _UpperCAmelCase		:							Tuple							=     use_cache
       _UpperCAmelCase		:							Any							=     classifier_dropout


class 		_SCREAMING_SNAKE_CASE     (						A     ):


     @property
     def        __snake_case(  self    ):
       if self.task == "multiple-choice":
         _UpperCAmelCase		:							Any							=     {0: """batch""", 1: """choice""", 2: """sequence"""}
       else:
         _UpperCAmelCase		:							List[Any]							=     {0: """batch""", 1: """sequence"""}
       return OrderedDict(
           [
               ("""input_ids""", dynamic_axis),
               ("""attention_mask""", dynamic_axis),
           ]    )





