


import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


_snake_case					:		List[str]      =    pytest.mark.integration







@pytest.mark.parametrize("path"							,     ["paws", "csv"]     )
def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase     ):
							inspect_dataset(__lowerCamelCase							,     __lowerCamelCase     )
							__snake_case		:      Union[str, Any]										=       path + ".py"
							assert script_name in os.listdir(__lowerCamelCase     )
							assert "__pycache__" not in os.listdir(__lowerCamelCase     )







@pytest.mark.filterwarnings("ignore:inspect_metric is deprecated:FutureWarning"     )
@pytest.mark.filterwarnings("ignore:metric_module_factory is deprecated:FutureWarning"     )
@pytest.mark.parametrize("path"							,     ["accuracy"]     )
def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase     ):
							inspect_metric(__lowerCamelCase							,     __lowerCamelCase     )
							__snake_case		:      Any										=       path + ".py"
							assert script_name in os.listdir(__lowerCamelCase     )
							assert "__pycache__" not in os.listdir(__lowerCamelCase     )







@pytest.mark.parametrize(
    "path, config_name, expected_splits"							,     [
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]							,     )
def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase     ):
							__snake_case		:      List[str]										=       get_dataset_config_info(__lowerCamelCase							,     config_name=__lowerCamelCase     )
							assert info.config_name == config_name
							assert list(info.splits.keys()     ) == expected_splits







@pytest.mark.parametrize(
    "path, config_name, expected_exception"							,     [
        ("paws", None, ValueError),
    ]							,     )
def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase     ):
							with pytest.raises(__lowerCamelCase     ):
														get_dataset_config_info(__lowerCamelCase							,     config_name=__lowerCamelCase     )







@pytest.mark.parametrize(
    "path, expected"							,     [
        ("squad", "plain_text"),
        ("acronym_identification", "default"),
        ("lhoestq/squad", "plain_text"),
        ("lhoestq/test", "default"),
        ("lhoestq/demo1", "lhoestq--demo1"),
        ("dalle-mini/wit", "dalle-mini--wit"),
    ]							,     )
def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase     ):
							__snake_case		:      Tuple										=       get_dataset_config_names(__lowerCamelCase     )
							assert expected in config_names







@pytest.mark.parametrize(
    "path, expected_configs, expected_splits_in_first_config"							,     [
        ("squad", ["plain_text"], ["train", "validation"]),
        ("dalle-mini/wit", ["dalle-mini--wit"], ["train"]),
        ("paws", ["labeled_final", "labeled_swap", "unlabeled_final"], ["train", "test", "validation"]),
    ]							,     )
def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase     ):
							__snake_case		:      Optional[Any]										=       get_dataset_infos(__lowerCamelCase     )
							assert list(infos.keys()     ) == expected_configs
							__snake_case		:      Tuple										=       expected_configs[0]
							assert expected_config in infos
							__snake_case		:      Optional[int]										=       infos[expected_config]
							assert info.config_name == expected_config
							assert list(info.splits.keys()     ) == expected_splits_in_first_config







@pytest.mark.parametrize(
    "path, expected_config, expected_splits"							,     [
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]							,     )
def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase     ):
							__snake_case		:      Tuple										=       get_dataset_infos(__lowerCamelCase     )
							assert expected_config in infos
							__snake_case		:      Any										=       infos[expected_config]
							assert info.config_name == expected_config
							assert list(info.splits.keys()     ) == expected_splits







@pytest.mark.parametrize(
    "path, config_name, expected_exception"							,     [
        ("paws", None, ValueError),
    ]							,     )
def     lowerCAmelCase_					( __lowerCamelCase							,     __lowerCamelCase							,     __lowerCamelCase     ):
							with pytest.raises(__lowerCamelCase     ):
														get_dataset_split_names(__lowerCamelCase							,     config_name=__lowerCamelCase     )





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


_snake_case					:		Any      =    logging.get_logger(__name__)

_snake_case					:		Dict      =    {
    "facebook/s2t-wav2vec2-large-en-de": (
        "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/config.json"
    ),
    # See all Speech2Text models at https://huggingface.co/models?filter=speech2text2
}

class     a		(_lowerCAmelCase				):




							"""simple docstring"""


							__UpperCAmelCase   :							Union[str, Any]					  =  "speech_to_text_2"
							__UpperCAmelCase   :							Dict					  =  ["past_key_values"]
							__UpperCAmelCase   :							str					  =  {"num_attention_heads": "decoder_attention_heads", "hidden_size": "d_model"}

							def __init__(							self	:  str   ,     lowerCamelCase	:  List[Any]=10000   ,     lowerCamelCase	:  Tuple=6   ,     lowerCamelCase	:  Optional[Any]=2048   ,     lowerCamelCase	:  Optional[int]=4   ,     lowerCamelCase	:  Optional[int]=0.0   ,     lowerCamelCase	:  str=True   ,     lowerCamelCase	:  str="relu"   ,     lowerCamelCase	:  Tuple=256   ,     lowerCamelCase	:  Union[str, Any]=0.1   ,     lowerCamelCase	:  Optional[int]=0.0   ,     lowerCamelCase	:  Any=0.0   ,     lowerCamelCase	:  Optional[int]=0.02   ,     lowerCamelCase	:  Dict=2   ,     lowerCamelCase	:  List[str]=True   ,     lowerCamelCase	:  str=1   ,     lowerCamelCase	:  Any=0   ,     lowerCamelCase	:  List[Any]=2   ,     lowerCamelCase	:  List[Any]=1024   ,     **lowerCamelCase	:  List[str]   ,     )     ->   Any:
														__snake_case		:      Tuple										=       vocab_size
														__snake_case		:      int										=       d_model
														__snake_case		:      List[str]										=       decoder_ffn_dim
														__snake_case		:      Union[str, Any]										=       decoder_layers
														__snake_case		:      Dict										=       decoder_attention_heads
														__snake_case		:      Any										=       dropout
														__snake_case		:      List[str]										=       attention_dropout
														__snake_case		:      Optional[Any]										=       activation_dropout
														__snake_case		:      Union[str, Any]										=       activation_function
														__snake_case		:      Union[str, Any]										=       init_std
														__snake_case		:      Union[str, Any]										=       decoder_layerdrop
														__snake_case		:      Optional[int]										=       use_cache
														__snake_case		:      Optional[int]										=       decoder_layers
														__snake_case		:      str										=       scale_embedding  # scale factor will be sqrt(d_model) if True
														__snake_case		:      Dict										=       max_target_positions

														super().__init__(
														    pad_token_id=lowerCamelCase   ,     bos_token_id=lowerCamelCase   ,     eos_token_id=lowerCamelCase   ,     decoder_start_token_id=lowerCamelCase   ,     **lowerCamelCase   ,     )

