

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


lowerCAmelCase__             =		logging.get_logger(__name__)

lowerCAmelCase__             =		{
    """google/reformer-crime-and-punishment""": (
        """https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/config.json"""
    ),
    """google/reformer-enwik8""": """https://huggingface.co/google/reformer-enwik8/resolve/main/config.json""",
}







class 						lowercase     (					_lowercase				):


		"""simple docstring"""




		a__       							=	"reformer"
		a__       							=	["past_buckets_states"]
		a__       							=	{}


		def __init__(					self						,							__snake_case=64						,							__snake_case=["local", "lsh", "local", "lsh", "local", "lsh"]						,							__snake_case=1.0						,							__snake_case=True						,							__snake_case=[64, 64]						,							__snake_case=[64, 1_92]						,							__snake_case=0						,							__snake_case=2						,							__snake_case=5_12						,							__snake_case=None						,							__snake_case="relu"						,							__snake_case=0.0_5						,							__snake_case=2_56						,							__snake_case=0.0_2						,							__snake_case=False						,							__snake_case=1e-12						,							__snake_case=1						,							__snake_case=0						,							__snake_case=0.0_5						,							__snake_case=64						,							__snake_case=64						,							__snake_case=0.0						,							__snake_case=1						,							__snake_case=0						,							__snake_case=40_96						,							__snake_case=12						,							__snake_case=None						,							__snake_case=1						,							__snake_case=0						,							__snake_case=3_20						,							__snake_case=False						,							__snake_case=True						,							__snake_case=None						,							**__snake_case						,							):
			_UpperCamelCase :		int								=    hash_seed
			_UpperCamelCase :		int								=    vocab_size
			_UpperCamelCase :		int								=    attention_head_size
			_UpperCamelCase :		List[str]								=    hidden_size
			_UpperCamelCase :		Optional[Any]								=    num_attention_heads
			_UpperCamelCase :		Tuple								=    num_hashes
			_UpperCamelCase :		Dict								=    len(__snake_case)
			_UpperCamelCase :		List[str]								=    tuple(__snake_case) if isinstance(__snake_case						,							__snake_case) else num_buckets
			_UpperCamelCase :		List[Any]								=    lsh_attn_chunk_length
			_UpperCamelCase :		Optional[Any]								=    local_attn_chunk_length
			_UpperCamelCase :		Any								=    lsh_num_chunks_after
			_UpperCamelCase :		Any								=    lsh_num_chunks_before
			_UpperCamelCase :		List[Any]								=    local_num_chunks_after
			_UpperCamelCase :		Tuple								=    local_num_chunks_before
			_UpperCamelCase :		Dict								=    hidden_act
			_UpperCamelCase :		str								=    feed_forward_size
			_UpperCamelCase :		Union[str, Any]								=    hidden_dropout_prob
			_UpperCamelCase :		str								=    lsh_attention_probs_dropout_prob
			_UpperCamelCase :		List[Any]								=    local_attention_probs_dropout_prob
			_UpperCamelCase :		Any								=    max_position_embeddings
			_UpperCamelCase :		str								=    initializer_range
			_UpperCamelCase :		List[str]								=    layer_norm_eps
			_UpperCamelCase :		Tuple								=    axial_pos_embds
			_UpperCamelCase :		Any								=    tuple(__snake_case)
			_UpperCamelCase :		Optional[Any]								=    tuple(__snake_case)
			_UpperCamelCase :		List[str]								=    axial_norm_std
			_UpperCamelCase :		Dict								=    chunk_size_lm_head
			_UpperCamelCase :		Tuple								=    attn_layers
			_UpperCamelCase :		Optional[Any]								=    use_cache
			_UpperCamelCase :		str								=    classifier_dropout
			super().__init__(
			    pad_token_id=__snake_case						,							eos_token_id=__snake_case						,							is_decoder=__snake_case						,							tie_word_embeddings=__snake_case						,							**__snake_case						,							)







import os

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

from .logging import get_logger


lowerCAmelCase__             =		2 << 2_0  # 2mb
lowerCAmelCase__             =		get_logger(__name__)







class 						lowercase     (					_lowercase				):


		"""simple docstring"""




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






def        lowerCamelCase_  (				UpperCAmelCase_				:  Any				,							UpperCAmelCase_				:  Optional[Any]				,							UpperCAmelCase_				:  str=False						)    ->					str:




	'''simple docstring'''




	_UpperCamelCase :		Optional[int]								=    FileSystems
	if fs.exists(UpperCAmelCase_						):
		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(UpperCAmelCase_						) as remote_file:
		with open(UpperCAmelCase_				,							'rb'						) as local_file:
			_UpperCamelCase :		List[str]								=    local_file.read(UpperCAmelCase_						)
			while chunk:
				remote_file.write(UpperCAmelCase_						)
				_UpperCamelCase :		List[str]								=    local_file.read(UpperCAmelCase_						)







def        lowerCamelCase_  (				UpperCAmelCase_				:  Any				,							UpperCAmelCase_				:  List[Any]				,							UpperCAmelCase_				:  Optional[int]=False						)    ->					Any:




	'''simple docstring'''




	_UpperCamelCase :		List[str]								=    FileSystems
	if os.path.exists(UpperCAmelCase_						):
		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(UpperCAmelCase_						) as remote_file:
		with open(UpperCAmelCase_				,							'wb'						) as local_file:
			_UpperCamelCase :		Union[str, Any]								=    remote_file.read(UpperCAmelCase_						)
			while chunk:
				local_file.write(UpperCAmelCase_						)
				_UpperCamelCase :		List[str]								=    remote_file.read(UpperCAmelCase_						)




