




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_   		=     "http://www.mocksite.com/file1.txt"
a_   		=     "\"text\": [\"foo\", \"foo\"]"
a_   		=     "6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8"

class  _lowerCamelCase						:

      """simple docstring"""

      lowerCAmelCase__			: Optional[Any]    =					2_00
      lowerCAmelCase__			: Dict    =					{"Content-Length": "100"}
      lowerCAmelCase__			: Any    =					{}







      def       snake_case	(     self					: Any ,       **snake_case					: List[str]				):
          return [bytes(snake_case ,       '''utf-8'''				)]







def 					__SCREAMING_SNAKE_CASE   (  *lowercase_					,     **lowercase_      )       ->	Union[str, Any]:

    """simple docstring"""


    return MockResponse()




@pytest.mark.parametrize('''urls_type'''					,     [str, list, dict]      )
def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_					,     lowercase_      )       ->	Dict:

    """simple docstring"""


    import requests

    monkeypatch.setattr(lowercase_					,     '''request'''					,     lowercase_      )

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




@pytest.mark.parametrize('''paths_type'''					,     [str, list, dict]      )
def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_					,     lowercase_      )       ->	Optional[int]:

    """simple docstring"""


    __UpperCamelCase  		=						str(lowercase_      )
    if issubclass(lowercase_					,     lowercase_      ):
        __UpperCamelCase  		=						filename
    elif issubclass(lowercase_					,     lowercase_      ):
        __UpperCamelCase  		=						[filename]
    elif issubclass(lowercase_					,     lowercase_      ):
        __UpperCamelCase  		=						{'''train''': filename}
    __UpperCamelCase  		=						'''dummy'''
    __UpperCamelCase  		=						xz_file.parent
    __UpperCamelCase  		=						'''extracted'''
    __UpperCamelCase  		=						DownloadConfig(
        cache_dir=lowercase_					,     use_etag=lowercase_					,     )
    __UpperCamelCase  		=						DownloadManager(dataset_name=lowercase_					,     download_config=lowercase_      )
    __UpperCamelCase  		=						dl_manager.extract(lowercase_      )
    __UpperCamelCase  		=						paths
    for extracted_paths in [extracted_paths]:
        if isinstance(lowercase_					,     lowercase_      ):
            __UpperCamelCase  		=						[extracted_paths]
            __UpperCamelCase  		=						[paths]
        elif isinstance(lowercase_					,     lowercase_      ):
            assert "train" in extracted_paths.keys()
            __UpperCamelCase  		=						extracted_paths.values()
            __UpperCamelCase  		=						paths.values()
        assert extracted_paths
        for extracted_path, input_path in zip(lowercase_					,     lowercase_      ):
            assert extracted_path == dl_manager.extracted_paths[input_path]
            __UpperCamelCase  		=						Path(lowercase_      )
            __UpperCamelCase  		=						extracted_path.parts
            assert parts[-1] == hash_url_to_filename(lowercase_					,     etag=lowercase_      )
            assert parts[-2] == extracted_subdir
            assert extracted_path.exists()
            __UpperCamelCase  		=						extracted_path.read_text()
            __UpperCamelCase  		=						text_file.read_text()
            assert extracted_file_content == expected_file_content




def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_      )       ->	str:

    """simple docstring"""


    assert path.endswith('''.jsonl'''      )
    for num_items, line in enumerate(lowercase_					,     start=1      ):
        __UpperCamelCase  		=						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 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_      )       ->	Any:

    """simple docstring"""


    __UpperCamelCase  		=						request.getfixturevalue(lowercase_      )
    __UpperCamelCase  		=						DownloadManager()
    for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(lowercase_      )					,     start=1      ):
        _test_jsonl(lowercase_					,     lowercase_      )
    assert num_jsonl == 2




@pytest.mark.parametrize('''archive_nested_jsonl'''					,     ['''tar_nested_jsonl_path''', '''zip_nested_jsonl_path''']      )
def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_      )       ->	int:

    """simple docstring"""


    __UpperCamelCase  		=						request.getfixturevalue(lowercase_      )
    __UpperCamelCase  		=						DownloadManager()
    for num_tar, (path, file) in enumerate(dl_manager.iter_archive(lowercase_      )					,     start=1      ):
        for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(lowercase_      )					,     start=1      ):
            _test_jsonl(lowercase_					,     lowercase_      )
    assert num_tar == 1
    assert num_jsonl == 2




def 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	Dict:

    """simple docstring"""


    __UpperCamelCase  		=						DownloadManager()
    for num_file, file in enumerate(dl_manager.iter_files(lowercase_      )					,     start=1      ):
        assert os.path.basename(lowercase_      ) == ("test.txt" if num_file == 1 else "train.txt")
    assert num_file == 2








from ....configuration_utils import PretrainedConfig
from ....utils import logging


a_   		=     logging.get_logger(__name__)

a_   		=     {
    "speechbrain/m-ctc-t-large": "https://huggingface.co/speechbrain/m-ctc-t-large/resolve/main/config.json",
    # See all M-CTC-T models at https://huggingface.co/models?filter=mctct
}

class  _lowerCamelCase						(			_SCREAMING_SNAKE_CASE   ):

      """simple docstring"""

      lowerCAmelCase__			: int    =					"mctct"







      def __init__(     self					: List[Any] ,       snake_case					: Optional[Any]=8065 ,       snake_case					: Optional[int]=1536 ,       snake_case					: Any=36 ,       snake_case					: List[str]=6144 ,       snake_case					: Dict=4 ,       snake_case					: str=384 ,       snake_case					: List[str]=920 ,       snake_case					: Dict=1E-5 ,       snake_case					: Union[str, Any]=0.3 ,       snake_case					: Optional[Any]="relu" ,       snake_case					: str=0.02 ,       snake_case					: Optional[int]=0.3 ,       snake_case					: int=0.3 ,       snake_case					: Any=1 ,       snake_case					: int=0 ,       snake_case					: Union[str, Any]=2 ,       snake_case					: List[Any]=1 ,       snake_case					: Dict=0.3 ,       snake_case					: int=1 ,       snake_case					: Optional[int]=(7,) ,       snake_case					: List[Any]=(3,) ,       snake_case					: Optional[int]=80 ,       snake_case					: List[str]=1 ,       snake_case					: int=None ,       snake_case					: List[str]="sum" ,       snake_case					: Tuple=False ,       **snake_case					: List[str] ,       ):
          super().__init__(**snake_case ,       pad_token_id=snake_case ,       bos_token_id=snake_case ,       eos_token_id=snake_case				)
          __UpperCamelCase  		=						vocab_size
          __UpperCamelCase  		=						hidden_size
          __UpperCamelCase  		=						num_hidden_layers
          __UpperCamelCase  		=						intermediate_size
          __UpperCamelCase  		=						num_attention_heads
          __UpperCamelCase  		=						attention_head_dim
          __UpperCamelCase  		=						max_position_embeddings
          __UpperCamelCase  		=						layer_norm_eps
          __UpperCamelCase  		=						layerdrop
          __UpperCamelCase  		=						hidden_act
          __UpperCamelCase  		=						initializer_range
          __UpperCamelCase  		=						hidden_dropout_prob
          __UpperCamelCase  		=						attention_probs_dropout_prob
          __UpperCamelCase  		=						pad_token_id
          __UpperCamelCase  		=						bos_token_id
          __UpperCamelCase  		=						eos_token_id
          __UpperCamelCase  		=						conv_glu_dim
          __UpperCamelCase  		=						conv_dropout
          __UpperCamelCase  		=						num_conv_layers
          __UpperCamelCase  		=						input_feat_per_channel
          __UpperCamelCase  		=						input_channels
          __UpperCamelCase  		=						conv_channels
          __UpperCamelCase  		=						ctc_loss_reduction
          __UpperCamelCase  		=						ctc_zero_infinity

          # prevents config testing fail with exporting to json
          __UpperCamelCase  		=						list(snake_case				)
          __UpperCamelCase  		=						list(snake_case				)

          if len(self.conv_kernel				) != self.num_conv_layers:
              raise ValueError(
                  '''Configuration for convolutional module is incorrect. '''
                  '''It is required that `len(config.conv_kernel)` == `config.num_conv_layers` '''
                  F"but is `len(config.conv_kernel) = {len(self.conv_kernel				)}`, "
                  F"`config.num_conv_layers = {self.num_conv_layers}`."				)






