
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping

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


SCREAMING_SNAKE_CASE_			      =					logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_			      =					{
    '''flaubert/flaubert_small_cased''': '''https://huggingface.co/flaubert/flaubert_small_cased/resolve/main/config.json''',
    '''flaubert/flaubert_base_uncased''': '''https://huggingface.co/flaubert/flaubert_base_uncased/resolve/main/config.json''',
    '''flaubert/flaubert_base_cased''': '''https://huggingface.co/flaubert/flaubert_base_cased/resolve/main/config.json''',
    '''flaubert/flaubert_large_cased''': '''https://huggingface.co/flaubert/flaubert_large_cased/resolve/main/config.json''',
}
class      lowerCAmelCase_						(							A__				):



							'''simple docstring'''





							_snake_case		     =						'''flaubert'''
							_snake_case		     =						{
							    '''hidden_size''': '''emb_dim''',
							    '''num_attention_heads''': '''n_heads''',
							    '''num_hidden_layers''': '''n_layers''',
							    '''n_words''': '''vocab_size''',  # For backward compatibility
							}




							def __init__(				self  ,							snake_case_=False  ,							snake_case_=0.0  ,							snake_case_=30_145  ,							snake_case_=2_048  ,							snake_case_=12  ,							snake_case_=16  ,							snake_case_=0.1  ,							snake_case_=0.1  ,							snake_case_=True  ,							snake_case_=False  ,							snake_case_=False  ,							snake_case_=False  ,							snake_case_=1  ,							snake_case_=True  ,							snake_case_=512  ,							snake_case_=2_048**-0.5  ,							snake_case_=1e-1_2  ,							snake_case_=0.02  ,							snake_case_=0  ,							snake_case_=1  ,							snake_case_=2  ,							snake_case_=3  ,							snake_case_=5  ,							snake_case_=True  ,							snake_case_="first"  ,							snake_case_=True  ,							snake_case_=None  ,							snake_case_=True  ,							snake_case_=0.1  ,							snake_case_=5  ,							snake_case_=5  ,							snake_case_=0  ,							snake_case_=0  ,							snake_case_=2  ,							snake_case_=0  ,							**snake_case_  ,							)   ->       Optional[int]:
													__lowerCAmelCase        =       pre_norm
													__lowerCAmelCase        =       layerdrop
													__lowerCAmelCase        =       vocab_size
													__lowerCAmelCase        =       emb_dim
													__lowerCAmelCase        =       n_layers
													__lowerCAmelCase        =       n_heads
													__lowerCAmelCase        =       dropout
													__lowerCAmelCase        =       attention_dropout
													__lowerCAmelCase        =       gelu_activation
													__lowerCAmelCase        =       sinusoidal_embeddings
													__lowerCAmelCase        =       causal
													__lowerCAmelCase        =       asm
													__lowerCAmelCase        =       n_langs
													__lowerCAmelCase        =       use_lang_emb
													__lowerCAmelCase        =       layer_norm_eps
													__lowerCAmelCase        =       bos_index
													__lowerCAmelCase        =       eos_index
													__lowerCAmelCase        =       pad_index
													__lowerCAmelCase        =       unk_index
													__lowerCAmelCase        =       mask_index
													__lowerCAmelCase        =       is_encoder
													__lowerCAmelCase        =       max_position_embeddings
													__lowerCAmelCase        =       embed_init_std
													__lowerCAmelCase        =       init_std
													__lowerCAmelCase        =       summary_type
													__lowerCAmelCase        =       summary_use_proj
													__lowerCAmelCase        =       summary_activation
													__lowerCAmelCase        =       summary_proj_to_labels
													__lowerCAmelCase        =       summary_first_dropout
													__lowerCAmelCase        =       start_n_top
													__lowerCAmelCase        =       end_n_top
													__lowerCAmelCase        =       mask_token_id
													__lowerCAmelCase        =       lang_id

													if "n_words" in kwargs:
																			__lowerCAmelCase        =       kwargs["""n_words"""]

													super().__init__(pad_token_id=snake_case_  ,							bos_token_id=snake_case_  ,							**snake_case_							)
class      lowerCAmelCase_						(							A__				):



							'''simple docstring'''





							@property
							def  A__		(				self							)   ->       Mapping[str, Mapping[int, str]]:
													if self.task == "multiple-choice":
																			__lowerCAmelCase        =       {0: """batch""", 1: """choice""", 2: """sequence"""}
													else:
																			__lowerCAmelCase        =       {0: """batch""", 1: """sequence"""}
													return OrderedDict(
													    [
													        ("""input_ids""", dynamic_axis),
													        ("""attention_mask""", dynamic_axis),
													    ]							)


"""simple docstring"""
import unittest

from transformers import is_torch_available, load_tool

from .test_tools_common import ToolTesterMixin


if is_torch_available():
			import torch
class      lowerCAmelCase_						(							unittest.TestCase							,							A__				):



							'''simple docstring'''





							def  A__		(				self							)   ->       Any:
													__lowerCAmelCase        =       load_tool("""speech-to-text"""							)
													self.tool.setup()




							def  A__		(				self							)   ->       int:
													__lowerCAmelCase        =       self.tool(torch.ones(3_000							)							)
													self.assertEqual(snake_case_  ,							""" you"""							)




							def  A__		(				self							)   ->       Optional[int]:
													__lowerCAmelCase        =       self.tool(audio=torch.ones(3_000							)							)
													self.assertEqual(snake_case_  ,							""" you"""							)
