



from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase :				int							=logging.get_logger(__name__)

UpperCAmelCase :				Union[str, Any]							={
    """squeezebert/squeezebert-uncased""": (
        """https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/config.json"""
    ),
    """squeezebert/squeezebert-mnli""": """https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/config.json""",
    """squeezebert/squeezebert-mnli-headless""": (
        """https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/config.json"""
    ),
}


class    _lowercase (a_   ):
				'''simple docstring'''







				lowercase__     =    SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
				lowercase__     =    """squeezebert"""

				def __init__(			self  ,			snake_case__=3_0522  ,			snake_case__=768  ,			snake_case__=12  ,			snake_case__=12  ,			snake_case__=3072  ,			snake_case__="gelu"  ,			snake_case__=0.1  ,			snake_case__=0.1  ,			snake_case__=512  ,			snake_case__=2  ,			snake_case__=0.02  ,			snake_case__=1e-12  ,			snake_case__=0  ,			snake_case__=768  ,			snake_case__=4  ,			snake_case__=4  ,			snake_case__=4  ,			snake_case__=1  ,			snake_case__=4  ,			snake_case__=4  ,			**snake_case__  ,			):

									'''simple docstring'''


									super().__init__(pad_token_id=snake_case__  ,			**snake_case__     )

									UpperCamelCase_			= vocab_size
									UpperCamelCase_			= hidden_size
									UpperCamelCase_			= num_hidden_layers
									UpperCamelCase_			= num_attention_heads
									UpperCamelCase_			= hidden_act
									UpperCamelCase_			= intermediate_size
									UpperCamelCase_			= hidden_dropout_prob
									UpperCamelCase_			= attention_probs_dropout_prob
									UpperCamelCase_			= max_position_embeddings
									UpperCamelCase_			= type_vocab_size
									UpperCamelCase_			= initializer_range
									UpperCamelCase_			= layer_norm_eps
									UpperCamelCase_			= embedding_size
									UpperCamelCase_			= q_groups
									UpperCamelCase_			= k_groups
									UpperCamelCase_			= v_groups
									UpperCamelCase_			= post_attention_groups
									UpperCamelCase_			= intermediate_groups
									UpperCamelCase_			= output_groups




class    _lowercase (a_   ):
				'''simple docstring'''







				@property
				def    _lowerCamelCase       (			self     ):

									'''simple docstring'''


									if self.task == "multiple-choice":
														UpperCamelCase_			= {0: "batch", 1: "choice", 2: "sequence"}
									else:
														UpperCamelCase_			= {0: "batch", 1: "sequence"}
									return OrderedDict(
									    [
									        ("input_ids", dynamic_axis),
									        ("attention_mask", dynamic_axis),
									        ("token_type_ids", dynamic_axis),
									    ]     )




import os

from apache_beam.io.filesystems import FileSystems
from apache_beam.pipeline import Pipeline

from .logging import get_logger


__UpperCAmelCase			:			Optional[Any]			      =					2 << 20  # 2mb
__UpperCAmelCase			:			List[Any]			      =					get_logger(__name__)



class  UpperCAmelCase_						(				_a):
       '''simple docstring'''






       def 			_lowercase (  self    ):




              """simple docstring"""




              UpperCamelCase     :						Optional[Any] 						=		self._options.get_all_options().get('''runner'''    )
              return runner in [None, "DirectRunner", "PortableRunner"]




def   a						(				SCREAMING_SNAKE_CASE_   :		str				,      SCREAMING_SNAKE_CASE_   :		int				,      SCREAMING_SNAKE_CASE_   :		Optional[Any]=False							):






       """simple docstring"""





       UpperCamelCase     :						int 						=		FileSystems
       if fs.exists(SCREAMING_SNAKE_CASE_							):
              if force_upload:
                     logger.info(F"""Remote path already exist: {remote_file_path}. Overwriting it as force_upload=True."""							)
              else:
                     logger.info(F"""Remote path already exist: {remote_file_path}. Skipping it as force_upload=False."""							)
                     return
       with fs.create(SCREAMING_SNAKE_CASE_							) as remote_file:
              with open(SCREAMING_SNAKE_CASE_				,      '''rb'''							) as local_file:
                     UpperCamelCase     :						List[str] 						=		local_file.read(SCREAMING_SNAKE_CASE_							)
                     while chunk:
                            remote_file.write(SCREAMING_SNAKE_CASE_							)
                            UpperCamelCase     :						Any 						=		local_file.read(SCREAMING_SNAKE_CASE_							)


def   a						(				SCREAMING_SNAKE_CASE_   :		str				,      SCREAMING_SNAKE_CASE_   :		Optional[Any]				,      SCREAMING_SNAKE_CASE_   :		List[str]=False							):






       """simple docstring"""





       UpperCamelCase     :						List[Any] 						=		FileSystems
       if os.path.exists(SCREAMING_SNAKE_CASE_							):
              if force_download:
                     logger.info(F"""Local path already exist: {remote_file_path}. Overwriting it as force_upload=True."""							)
              else:
                     logger.info(F"""Local path already exist: {remote_file_path}. Skipping it as force_upload=False."""							)
                     return
       with fs.open(SCREAMING_SNAKE_CASE_							) as remote_file:
              with open(SCREAMING_SNAKE_CASE_				,      '''wb'''							) as local_file:
                     UpperCamelCase     :						List[str] 						=		remote_file.read(SCREAMING_SNAKE_CASE_							)
                     while chunk:
                            local_file.write(SCREAMING_SNAKE_CASE_							)
                            UpperCamelCase     :						str 						=		remote_file.read(SCREAMING_SNAKE_CASE_							)

