



from collections import OrderedDict
from typing import Mapping

from packaging import version

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


a_			=					logging.get_logger(__name__)

a_			=					{
    """microsoft/table-transformer-detection""": (
        """https://huggingface.co/microsoft/table-transformer-detection/resolve/main/config.json"""
    ),
}



class  __lowerCAmelCase     (	lowerCAmelCase__   ):
 lowerCAmelCase__       					=  """table-transformer"""
 lowerCAmelCase__       					=  ["""past_key_values"""]
 lowerCAmelCase__       					=  {
     """hidden_size""": """d_model""",
     """num_attention_heads""": """encoder_attention_heads""",
 }




 def __init__(						self	,				__UpperCAmelCase=True	,				__UpperCAmelCase=None	,				__UpperCAmelCase=3	,				__UpperCAmelCase=100	,				__UpperCAmelCase=6	,				__UpperCAmelCase=2048	,				__UpperCAmelCase=8	,				__UpperCAmelCase=6	,				__UpperCAmelCase=2048	,				__UpperCAmelCase=8	,				__UpperCAmelCase=0.0	,				__UpperCAmelCase=0.0	,				__UpperCAmelCase=True	,				__UpperCAmelCase="relu"	,				__UpperCAmelCase=256	,				__UpperCAmelCase=0.1	,				__UpperCAmelCase=0.0	,				__UpperCAmelCase=0.0	,				__UpperCAmelCase=0.02	,				__UpperCAmelCase=1.0	,				__UpperCAmelCase=False	,				__UpperCAmelCase="sine"	,				__UpperCAmelCase="resnet50"	,				__UpperCAmelCase=True	,				__UpperCAmelCase=False	,				__UpperCAmelCase=1	,				__UpperCAmelCase=5	,				__UpperCAmelCase=2	,				__UpperCAmelCase=1	,				__UpperCAmelCase=1	,				__UpperCAmelCase=5	,				__UpperCAmelCase=2	,				__UpperCAmelCase=0.1	,				**__UpperCAmelCase	,				):



    '''simple docstring'''
    if backbone_config is not None and use_timm_backbone:
       raise ValueError('''You can\'t specify both `backbone_config` and `use_timm_backbone`.'''				)

    if not use_timm_backbone:
       if backbone_config is None:
          logger.info('''`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'''				)
          __lowerCamelCase													=    CONFIG_MAPPING['''resnet'''](out_features=['''stage4''']				)
       elif isinstance(__UpperCAmelCase	,				__UpperCAmelCase				):
          __lowerCamelCase													=    backbone_config.get('''model_type'''				)
          __lowerCamelCase													=    CONFIG_MAPPING[backbone_model_type]
          __lowerCamelCase													=    config_class.from_dict(__UpperCAmelCase				)
       # set timm attributes to None
       __lowerCamelCase							,__lowerCamelCase							,__lowerCamelCase													=    None, None, None

    __lowerCamelCase													=    use_timm_backbone
    __lowerCamelCase													=    backbone_config
    __lowerCamelCase													=    num_channels
    __lowerCamelCase													=    num_queries
    __lowerCamelCase													=    d_model
    __lowerCamelCase													=    encoder_ffn_dim
    __lowerCamelCase													=    encoder_layers
    __lowerCamelCase													=    encoder_attention_heads
    __lowerCamelCase													=    decoder_ffn_dim
    __lowerCamelCase													=    decoder_layers
    __lowerCamelCase													=    decoder_attention_heads
    __lowerCamelCase													=    dropout
    __lowerCamelCase													=    attention_dropout
    __lowerCamelCase													=    activation_dropout
    __lowerCamelCase													=    activation_function
    __lowerCamelCase													=    init_std
    __lowerCamelCase													=    init_xavier_std
    __lowerCamelCase													=    encoder_layerdrop
    __lowerCamelCase													=    decoder_layerdrop
    __lowerCamelCase													=    encoder_layers
    __lowerCamelCase													=    auxiliary_loss
    __lowerCamelCase													=    position_embedding_type
    __lowerCamelCase													=    backbone
    __lowerCamelCase													=    use_pretrained_backbone
    __lowerCamelCase													=    dilation
    # Hungarian matcher
    __lowerCamelCase													=    class_cost
    __lowerCamelCase													=    bbox_cost
    __lowerCamelCase													=    giou_cost
    # Loss coefficients
    __lowerCamelCase													=    mask_loss_coefficient
    __lowerCamelCase													=    dice_loss_coefficient
    __lowerCamelCase													=    bbox_loss_coefficient
    __lowerCamelCase													=    giou_loss_coefficient
    __lowerCamelCase													=    eos_coefficient
    super().__init__(is_encoder_decoder=__UpperCAmelCase	,				**__UpperCAmelCase				)




 @property
 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    return self.encoder_attention_heads




 @property
 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    return self.d_model



class  __lowerCAmelCase     (	lowerCAmelCase__   ):
 lowerCAmelCase__       					=  version.parse("""1.11"""   )




 @property
 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    return OrderedDict(
        [
            ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
            ('''pixel_mask''', {0: '''batch'''}),
        ]				)




 @property
 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    return 1E-5




 @property
 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    return 12











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






