


'''simple docstring'''




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


_lowerCAmelCase	:		List[Any]		  =						logging.get_logger(__name__)

_lowerCAmelCase	:		int		  =						{
    '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 			lowerCAmelCase					(					a				):
	_lowerCamelCase :       List[Any]         =			"""reformer"""
	_lowerCamelCase :       List[str]         =			["""past_buckets_states"""]
	_lowerCamelCase :       Optional[int]         =			{}



	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, 192]			,       snake_case__=0			,       snake_case__=2			,       snake_case__=512			,       snake_case__=None			,       snake_case__="relu"			,       snake_case__=0.0_5			,       snake_case__=256			,       snake_case__=0.0_2			,       snake_case__=False			,       snake_case__=1e-1_2			,       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__=4096			,       snake_case__=12			,       snake_case__=None			,       snake_case__=1			,       snake_case__=0			,       snake_case__=320			,       snake_case__=False			,       snake_case__=True			,       snake_case__=None			,       **snake_case__			,       ):
		lowerCAmelCase       :     Tuple   				=			hash_seed
		lowerCAmelCase       :     Any   				=			vocab_size
		lowerCAmelCase       :     Optional[int]   				=			attention_head_size
		lowerCAmelCase       :     Dict   				=			hidden_size
		lowerCAmelCase       :     Optional[Any]   				=			num_attention_heads
		lowerCAmelCase       :     Tuple   				=			num_hashes
		lowerCAmelCase       :     List[Any]   				=			len(snake_case__     )
		lowerCAmelCase       :     Dict   				=			tuple(snake_case__     ) if isinstance(snake_case__			,       snake_case__     ) else num_buckets
		lowerCAmelCase       :     str   				=			lsh_attn_chunk_length
		lowerCAmelCase       :     List[Any]   				=			local_attn_chunk_length
		lowerCAmelCase       :     Tuple   				=			lsh_num_chunks_after
		lowerCAmelCase       :     Tuple   				=			lsh_num_chunks_before
		lowerCAmelCase       :     Tuple   				=			local_num_chunks_after
		lowerCAmelCase       :     List[str]   				=			local_num_chunks_before
		lowerCAmelCase       :     List[Any]   				=			hidden_act
		lowerCAmelCase       :     Tuple   				=			feed_forward_size
		lowerCAmelCase       :     Union[str, Any]   				=			hidden_dropout_prob
		lowerCAmelCase       :     int   				=			lsh_attention_probs_dropout_prob
		lowerCAmelCase       :     List[Any]   				=			local_attention_probs_dropout_prob
		lowerCAmelCase       :     List[Any]   				=			max_position_embeddings
		lowerCAmelCase       :     Optional[Any]   				=			initializer_range
		lowerCAmelCase       :     Optional[int]   				=			layer_norm_eps
		lowerCAmelCase       :     str   				=			axial_pos_embds
		lowerCAmelCase       :     Tuple   				=			tuple(snake_case__     )
		lowerCAmelCase       :     str   				=			tuple(snake_case__     )
		lowerCAmelCase       :     int   				=			axial_norm_std
		lowerCAmelCase       :     str   				=			chunk_size_lm_head
		lowerCAmelCase       :     Union[str, Any]   				=			attn_layers
		lowerCAmelCase       :     List[Any]   				=			use_cache
		lowerCAmelCase       :     Optional[Any]   				=			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__			,       )




'''simple docstring'''




import importlib.metadata
import sys

from transformers.testing_utils import TestCasePlus
from transformers.utils.versions import require_version, require_version_core


_lowerCAmelCase	:		Optional[int]		  =						importlib.metadata.version('numpy')
_lowerCAmelCase	:		List[Any]		  =						'.'.join([str(x) for x in sys.version_info[:3]])



class 			lowerCAmelCase					(					a				):



	def 					lowercase  (       self     ):
		# lt + different version strings
		require_version_core('numpy<1000.4.5'     )
		require_version_core('numpy<1000.4'     )
		require_version_core('numpy<1000'     )

		# le
		require_version_core('numpy<=1000.4.5'     )
		require_version_core(f"numpy<={numpy_ver}"     )

		# eq
		require_version_core(f"numpy=={numpy_ver}"     )

		# ne
		require_version_core('numpy!=1000.4.5'     )

		# ge
		require_version_core('numpy>=1.0'     )
		require_version_core('numpy>=1.0.0'     )
		require_version_core(f"numpy>={numpy_ver}"     )

		# gt
		require_version_core('numpy>1.0.0'     )

		# mix
		require_version_core('numpy>1.0.0,<1000'     )

		# requirement w/o version
		require_version_core('numpy'     )

		# unmet requirements due to version conflict
		for req in ["numpy==1.0.0", "numpy>=1000.0.0", f"numpy<{numpy_ver}"]:
			try:
				require_version_core(snake_case__     )
			except ImportError as e:
				self.assertIn(f"{req} is required"			,       str(snake_case__     )     )
				self.assertIn('but found'			,       str(snake_case__     )     )

        # unmet requirements due to missing module
		for req in ["numpipypie>1", "numpipypie2"]:
			try:
				require_version_core(snake_case__     )
			except importlib.metadata.PackageNotFoundError as e:
				self.assertIn(f"The '{req}' distribution was not found and is required by this application"			,       str(snake_case__     )     )
				self.assertIn('Try: pip install transformers -U'			,       str(snake_case__     )     )

        # bogus requirements formats:
        # 1. whole thing
		for req in ["numpy??1.0.0", "numpy1.0.0"]:
			try:
				require_version_core(snake_case__     )
			except ValueError as e:
				self.assertIn('requirement needs to be in the pip package format'			,       str(snake_case__     )     )
        # 2. only operators
		for req in ["numpy=1.0.0", "numpy == 1.00", "numpy<>1.0.0", "numpy><1.00", "numpy>>1.0.0"]:
			try:
				require_version_core(snake_case__     )
			except ValueError as e:
				self.assertIn('need one of '			,       str(snake_case__     )     )



	def 					lowercase  (       self     ):
		# matching requirement
		require_version('python>=3.6.0'     )

		# not matching requirements
		for req in ["python>9.9.9", "python<3.0.0"]:
			try:
				require_version_core(snake_case__     )
			except ImportError as e:
				self.assertIn(f"{req} is required"			,       str(snake_case__     )     )
				self.assertIn(f"but found python=={python_ver}"			,       str(snake_case__     )     )
