



import argparse
from pathlib import Path

from transformers import AutoConfig, AutoTokenizer, RagConfig, RagSequenceForGeneration, RagTokenForGeneration

def 			A_      (	__a     :				Union[str, Any] ,		__a     :				str ,		__a     :				str ,		__a     :				Path ,		__a     :				str = None ,		__a     :				str = None ,		__a     :				str = None ,		):

				"""simple docstring"""
				if config_name_or_path is None:
								a__				      =		"""facebook/rag-token-base""" if model_type == """rag_token""" else """facebook/rag-sequence-base"""

				if generator_tokenizer_name_or_path is None:
								a__				      =		generator_name_or_path

				if question_encoder_tokenizer_name_or_path is None:
								a__				      =		question_encoder_name_or_path

				a__				      =		RagTokenForGeneration if model_type == """rag_token""" else RagSequenceForGeneration

				# Save model.
				a__				      =		RagConfig.from_pretrained(__a		)
				a__				      =		AutoConfig.from_pretrained(__a		)
				a__				      =		AutoConfig.from_pretrained(__a		)

				a__				      =		gen_config
				a__				      =		question_encoder_config

				a__				      =		model_class.from_pretrained_question_encoder_generator(
				    __a ,		__a ,		config=__a		)
				rag_model.save_pretrained(__a		)

				# Sanity check.
				model_class.from_pretrained(__a		)

				# Save tokenizers.
				a__				      =		AutoTokenizer.from_pretrained(__a		)
				gen_tokenizer.save_pretrained(dest_dir / """generator_tokenizer/"""		)
				a__				      =		AutoTokenizer.from_pretrained(__a		)
				question_encoder_tokenizer.save_pretrained(dest_dir / """question_encoder_tokenizer/"""		)


if __name__ == "__main__":
	UpperCAmelCase							 =					argparse.ArgumentParser()
	parser.add_argument(
	    """--model_type""",
	    choices=["""rag_sequence""", """rag_token"""],
	    required=True,
	    type=str,
	    help="""RAG model type: rag_sequence, rag_token""",
	)
	parser.add_argument("""--dest""", type=str, required=True, help="""Path to the output checkpoint directory.""")
	parser.add_argument("""--generator_name_or_path""", type=str, required=True, help="""Generator model identifier""")
	parser.add_argument(
	    """--question_encoder_name_or_path""", type=str, required=True, help="""Question encoder model identifier"""
	)

	parser.add_argument(
	    """--generator_tokenizer_name_or_path""",
	    type=str,
	    help="""Generator tokenizer identifier, if not specified, resolves to ``generator_name_or_path``""",
	)
	parser.add_argument(
	    """--question_encoder_tokenizer_name_or_path""",
	    type=str,
	    help="""Question encoder tokenizer identifier, if not specified, resolves to ``question_encoder_name_or_path``""",
	)
	parser.add_argument(
	    """--config_name_or_path""",
	    type=str,
	    help=(
	        """Identifier of the model config to use, if not provided, resolves to a base config for a given"""
	        """ ``model_type``"""
	    ),
	)

	UpperCAmelCase							 =					parser.parse_args()

	UpperCAmelCase							 =					Path(args.dest)
	dest_dir.mkdir(exist_ok=True)

	consolidate(
	    args.model_type,
	    args.generator_name_or_path,
	    args.question_encoder_name_or_path,
	    dest_dir,
	    args.config_name_or_path,
	    args.generator_tokenizer_name_or_path,
	    args.question_encoder_tokenizer_name_or_path,
	)






def 			A_      (	__a     :				Any		):

				"""simple docstring"""
				if not head:
								return True
				# split the list to two parts
				a__      ,			a__				      =		head.next, head
				while fast and fast.next:
								a__				      =		fast.next.next
								a__				      =		slow.next
				a__				      =		slow.next
				a__				      =		None  # Don't forget here! But forget still works!
				# reverse the second part
				a__				      =		None
				while second:
								a__				      =		second.next
								a__				      =		node
								a__				      =		second
								a__				      =		nxt
				# compare two parts
				# second part has the same or one less node
				while node:
								if node.val != head.val:
												return False
								a__				      =		node.next
								a__				      =		head.next
				return True

def 			A_      (	__a     :				int		):

				"""simple docstring"""
				if not head or not head.next:
								return True

				# 1. Get the midpoint (slow)
				a__				      =		a__				      =		a__				      =		head
				while fast and fast.next:
								a__      ,			a__				      =		fast.next.next, slow.next

				# 2. Push the second half into the stack
				a__				      =		[slow.val]
				while slow.next:
								a__				      =		slow.next
								stack.append(slow.val		)

				# 3. Comparison
				while stack:
								if stack.pop() != cur.val:
												return False
								a__				      =		cur.next

				return True




def 			A_      (	__a     :				Any		):

				"""simple docstring"""
				if not head or not head.next:
								return True
				a__				      =		{}
				a__				      =		0
				while head:
								if head.val in d:
												d[head.val].append(__a		)
								else:
												a__				      =		[pos]
								a__				      =		head.next
								pos += 1
				a__				      =		pos - 1
				a__				      =		0
				for v in d.values():
								if len(__a		) % 2 != 0:
												middle += 1
								else:
												a__				      =		0
												for i in range(0 ,		len(__a		)		):
																if v[i] + v[len(__a		) - 1 - step] != checksum:
																				return False
																step += 1
								if middle > 1:
												return False
				return True

