



import math

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


a_			=					logging.get_logger(__name__)

a_			=					{
    """facebook/data2vec-base-960h""": """https://huggingface.co/facebook/data2vec-audio-base-960h/resolve/main/config.json""",
    # See all Data2VecAudio models at https://huggingface.co/models?filter=data2vec-audio
}



class  __lowerCAmelCase     (	lowerCAmelCase__   ):
 lowerCAmelCase__       					=  """data2vec-audio"""




 def __init__(						self	,				__UpperCAmelCase=32	,				__UpperCAmelCase=768	,				__UpperCAmelCase=12	,				__UpperCAmelCase=12	,				__UpperCAmelCase=3072	,				__UpperCAmelCase="gelu"	,				__UpperCAmelCase=0.1	,				__UpperCAmelCase=0.1	,				__UpperCAmelCase=0.1	,				__UpperCAmelCase=0.0	,				__UpperCAmelCase=0.1	,				__UpperCAmelCase=0.1	,				__UpperCAmelCase=0.02	,				__UpperCAmelCase=1E-5	,				__UpperCAmelCase="gelu"	,				__UpperCAmelCase=(512, 512, 512, 512, 512, 512, 512)	,				__UpperCAmelCase=(5, 2, 2, 2, 2, 2, 2)	,				__UpperCAmelCase=(10, 3, 3, 3, 3, 2, 2)	,				__UpperCAmelCase=False	,				__UpperCAmelCase=16	,				__UpperCAmelCase=19	,				__UpperCAmelCase=5	,				__UpperCAmelCase=0.05	,				__UpperCAmelCase=10	,				__UpperCAmelCase=2	,				__UpperCAmelCase=0.0	,				__UpperCAmelCase=10	,				__UpperCAmelCase=0	,				__UpperCAmelCase="sum"	,				__UpperCAmelCase=False	,				__UpperCAmelCase=False	,				__UpperCAmelCase=256	,				__UpperCAmelCase=(512, 512, 512, 512, 1500)	,				__UpperCAmelCase=(5, 3, 3, 1, 1)	,				__UpperCAmelCase=(1, 2, 3, 1, 1)	,				__UpperCAmelCase=512	,				__UpperCAmelCase=0	,				__UpperCAmelCase=1	,				__UpperCAmelCase=2	,				__UpperCAmelCase=False	,				__UpperCAmelCase=3	,				__UpperCAmelCase=2	,				__UpperCAmelCase=3	,				__UpperCAmelCase=None	,				**__UpperCAmelCase	,				):



    '''simple docstring'''
    super().__init__(**__UpperCAmelCase	,				pad_token_id=__UpperCAmelCase	,				bos_token_id=__UpperCAmelCase	,				eos_token_id=__UpperCAmelCase				)
    __lowerCamelCase													=    hidden_size
    __lowerCamelCase													=    feat_extract_activation
    __lowerCamelCase													=    list(__UpperCAmelCase				)
    __lowerCamelCase													=    list(__UpperCAmelCase				)
    __lowerCamelCase													=    list(__UpperCAmelCase				)
    __lowerCamelCase													=    conv_bias
    __lowerCamelCase													=    num_conv_pos_embeddings
    __lowerCamelCase													=    num_conv_pos_embedding_groups
    __lowerCamelCase													=    conv_pos_kernel_size
    __lowerCamelCase													=    len(self.conv_dim				)
    __lowerCamelCase													=    num_hidden_layers
    __lowerCamelCase													=    intermediate_size
    __lowerCamelCase													=    hidden_act
    __lowerCamelCase													=    num_attention_heads
    __lowerCamelCase													=    hidden_dropout
    __lowerCamelCase													=    attention_dropout
    __lowerCamelCase													=    activation_dropout
    __lowerCamelCase													=    feat_proj_dropout
    __lowerCamelCase													=    final_dropout
    __lowerCamelCase													=    layerdrop
    __lowerCamelCase													=    layer_norm_eps
    __lowerCamelCase													=    initializer_range
    __lowerCamelCase													=    vocab_size
    __lowerCamelCase													=    use_weighted_layer_sum

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

    # fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
    __lowerCamelCase													=    mask_time_prob
    __lowerCamelCase													=    mask_time_length
    __lowerCamelCase													=    mask_time_min_masks
    __lowerCamelCase													=    mask_feature_prob
    __lowerCamelCase													=    mask_feature_length
    __lowerCamelCase													=    mask_feature_min_masks

    # ctc loss
    __lowerCamelCase													=    ctc_loss_reduction
    __lowerCamelCase													=    ctc_zero_infinity

    # adapter
    __lowerCamelCase													=    add_adapter
    __lowerCamelCase													=    adapter_kernel_size
    __lowerCamelCase													=    adapter_stride
    __lowerCamelCase													=    num_adapter_layers
    __lowerCamelCase													=    output_hidden_size or hidden_size

    # SequenceClassification-specific parameter. Feel free to ignore for other classes.
    __lowerCamelCase													=    classifier_proj_size

    # XVector-specific parameters. Feel free to ignore for other classes.
    __lowerCamelCase													=    list(__UpperCAmelCase				)
    __lowerCamelCase													=    list(__UpperCAmelCase				)
    __lowerCamelCase													=    list(__UpperCAmelCase				)
    __lowerCamelCase													=    xvector_output_dim




 @property
 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    return math.prod(self.conv_stride				)











import unittest

from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_rjieba
@require_tokenizers
class  __lowerCAmelCase     (	lowerCAmelCase__  ,	unittest.TestCase   ):
 lowerCAmelCase__       					=  RoFormerTokenizer
 lowerCAmelCase__       					=  RoFormerTokenizerFast
 lowerCAmelCase__       					=  True
 lowerCAmelCase__       					=  True




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    super().setUp()




 def        lowerCamelCase      (						self	,				**__UpperCAmelCase				):



    '''simple docstring'''
    return self.tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base'''	,				**__UpperCAmelCase				)




 def        lowerCamelCase      (						self	,				**__UpperCAmelCase				):



    '''simple docstring'''
    return self.rust_tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base'''	,				**__UpperCAmelCase				)




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    __lowerCamelCase													=    '''永和服装饰品有限公司,今天天气非常好'''
    __lowerCamelCase													=    '''永和 服装 饰品 有限公司 , 今 天 天 气 非常 好'''
    return input_text, output_text




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    __lowerCamelCase													=    self.get_tokenizer()
    __lowerCamelCase							,__lowerCamelCase													=    self.get_chinese_input_output_texts()
    __lowerCamelCase													=    tokenizer.tokenize(__UpperCAmelCase				)

    self.assertListEqual(__UpperCAmelCase	,				output_text.split()				)

    __lowerCamelCase													=    tokens + [tokenizer.unk_token]
    __lowerCamelCase													=    [22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase				)	,				__UpperCAmelCase				)




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    __lowerCamelCase													=    self.get_rust_tokenizer()
    __lowerCamelCase							,__lowerCamelCase													=    self.get_chinese_input_output_texts()
    __lowerCamelCase													=    tokenizer.tokenize(__UpperCAmelCase				)
    self.assertListEqual(__UpperCAmelCase	,				output_text.split()				)
    __lowerCamelCase													=    tokens + [tokenizer.unk_token]
    __lowerCamelCase													=    [22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase				)	,				__UpperCAmelCase				)




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    pass




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    pass




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    pass






