



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




def    A_(			A   ):
	if not head or not head.next:
		return True

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

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

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

	return True




def    A_(			A   ):
	if not head or not head.next:
		return True
	UpperCAmelCase_								=     {}
	UpperCAmelCase_								=     0
	while head:
		if head.val in d:
			d[head.val].append(A   )
		else:
			UpperCAmelCase_								=     [pos]
		UpperCAmelCase_								=     head.next
		pos += 1
	UpperCAmelCase_								=     pos - 1
	UpperCAmelCase_								=     0
	for v in d.values():
		if len(A   ) % 2 != 0:
			middle += 1
		else:
			UpperCAmelCase_								=     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









import json
import os
import shutil
import tempfile
from unittest import TestCase

from transformers import BartTokenizer, BartTokenizerFast, DPRQuestionEncoderTokenizer, DPRQuestionEncoderTokenizerFast
from transformers.models.bart.configuration_bart import BartConfig
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES as DPR_VOCAB_FILES_NAMES
from transformers.models.dpr.configuration_dpr import DPRConfig
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES as BART_VOCAB_FILES_NAMES
from transformers.testing_utils import require_faiss, require_tokenizers, require_torch, slow
from transformers.utils import is_datasets_available, is_faiss_available, is_torch_available


if is_torch_available() and is_datasets_available() and is_faiss_available():
				from transformers.models.rag.configuration_rag import RagConfig
				from transformers.models.rag.tokenization_rag import RagTokenizer







@require_faiss
@require_torch
class   _UpperCamelCase  (       A_  ):







					'''simple docstring'''

					def        SCREAMING_SNAKE_CASE							(						self    :  Optional[Any]		):






						'''simple docstring'''







						UpperCAmelCase_								=     tempfile.mkdtemp()
						UpperCAmelCase_								=     8

						# DPR tok
						UpperCAmelCase_								=     [
						    """[UNK]""",
						    """[CLS]""",
						    """[SEP]""",
						    """[PAD]""",
						    """[MASK]""",
						    """want""",
						    """##want""",
						    """##ed""",
						    """wa""",
						    """un""",
						    """runn""",
						    """##ing""",
						    """,""",
						    """low""",
						    """lowest""",
						]
						UpperCAmelCase_								=     os.path.join(self.tmpdirname ,					"""dpr_tokenizer"""		)
						os.makedirs(__lowercase ,					exist_ok=__lowercase		)
						UpperCAmelCase_								=     os.path.join(__lowercase ,					DPR_VOCAB_FILES_NAMES["""vocab_file"""]		)
						with open(self.vocab_file ,					"""w""" ,					encoding="""utf-8"""		) as vocab_writer:
							vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]		)		)

						# BART tok
						UpperCAmelCase_								=     [
						    """l""",
						    """o""",
						    """w""",
						    """e""",
						    """r""",
						    """s""",
						    """t""",
						    """i""",
						    """d""",
						    """n""",
						    """\u0120""",
						    """\u0120l""",
						    """\u0120n""",
						    """\u0120lo""",
						    """\u0120low""",
						    """er""",
						    """\u0120lowest""",
						    """\u0120newer""",
						    """\u0120wider""",
						    """<unk>""",
						]
						UpperCAmelCase_								=     dict(zip(__lowercase ,					range(len(__lowercase		)		)		)		)
						UpperCAmelCase_								=     ["""#version: 0.2""", """\u0120 l""", """\u0120l o""", """\u0120lo w""", """e r""", """"""]
						UpperCAmelCase_								=     {"""unk_token""": """<unk>"""}

						UpperCAmelCase_								=     os.path.join(self.tmpdirname ,					"""bart_tokenizer"""		)
						os.makedirs(__lowercase ,					exist_ok=__lowercase		)
						UpperCAmelCase_								=     os.path.join(__lowercase ,					BART_VOCAB_FILES_NAMES["""vocab_file"""]		)
						UpperCAmelCase_								=     os.path.join(__lowercase ,					BART_VOCAB_FILES_NAMES["""merges_file"""]		)
						with open(self.vocab_file ,					"""w""" ,					encoding="""utf-8"""		) as fp:
							fp.write(json.dumps(__lowercase		) + """\n"""		)
						with open(self.merges_file ,					"""w""" ,					encoding="""utf-8"""		) as fp:
							fp.write("""\n""".join(__lowercase		)		)





					def        SCREAMING_SNAKE_CASE							(						self    :  Union[str, Any]		):






						'''simple docstring'''







						return DPRQuestionEncoderTokenizer.from_pretrained(os.path.join(self.tmpdirname ,					"""dpr_tokenizer"""		)		)





					def        SCREAMING_SNAKE_CASE							(						self    :  List[Any]		):






						'''simple docstring'''







						return BartTokenizer.from_pretrained(os.path.join(self.tmpdirname ,					"""bart_tokenizer"""		)		)





					def        SCREAMING_SNAKE_CASE							(						self    :  str		):






						'''simple docstring'''







						shutil.rmtree(self.tmpdirname		)





					@require_tokenizers
					def        SCREAMING_SNAKE_CASE							(						self    :  Union[str, Any]		):






						'''simple docstring'''







						UpperCAmelCase_								=     os.path.join(self.tmpdirname ,					"""rag_tokenizer"""		)
						UpperCAmelCase_								=     RagConfig(question_encoder=DPRConfig().to_dict() ,					generator=BartConfig().to_dict()		)
						UpperCAmelCase_								=     RagTokenizer(question_encoder=self.get_dpr_tokenizer() ,					generator=self.get_bart_tokenizer()		)
						rag_config.save_pretrained(__lowercase		)
						rag_tokenizer.save_pretrained(__lowercase		)
						UpperCAmelCase_								=     RagTokenizer.from_pretrained(__lowercase ,					config=__lowercase		)
						self.assertIsInstance(new_rag_tokenizer.question_encoder ,					__lowercase		)
						self.assertEqual(new_rag_tokenizer.question_encoder.get_vocab() ,					rag_tokenizer.question_encoder.get_vocab()		)
						self.assertIsInstance(new_rag_tokenizer.generator ,					__lowercase		)
						self.assertEqual(new_rag_tokenizer.generator.get_vocab() ,					rag_tokenizer.generator.get_vocab()		)





					@slow
					def        SCREAMING_SNAKE_CASE							(						self    :  List[Any]		):






						'''simple docstring'''







						UpperCAmelCase_								=     RagTokenizer.from_pretrained("""facebook/rag-token-nq"""		)
						UpperCAmelCase_								=     [
						    """who got the first nobel prize in physics""",
						    """when is the next deadpool movie being released""",
						    """which mode is used for short wave broadcast service""",
						    """who is the owner of reading football club""",
						    """when is the next scandal episode coming out""",
						    """when is the last time the philadelphia won the superbowl""",
						    """what is the most current adobe flash player version""",
						    """how many episodes are there in dragon ball z""",
						    """what is the first step in the evolution of the eye""",
						    """where is gall bladder situated in human body""",
						    """what is the main mineral in lithium batteries""",
						    """who is the president of usa right now""",
						    """where do the greasers live in the outsiders""",
						    """panda is a national animal of which country""",
						    """what is the name of manchester united stadium""",
						]
						UpperCAmelCase_								=     tokenizer(__lowercase		)
						self.assertIsNotNone(__lowercase		)





					@slow
					def        SCREAMING_SNAKE_CASE							(						self    :  List[str]		):






						'''simple docstring'''







						UpperCAmelCase_								=     RagTokenizer.from_pretrained("""facebook/rag-sequence-nq"""		)
						UpperCAmelCase_								=     [
						    """who got the first nobel prize in physics""",
						    """when is the next deadpool movie being released""",
						    """which mode is used for short wave broadcast service""",
						    """who is the owner of reading football club""",
						    """when is the next scandal episode coming out""",
						    """when is the last time the philadelphia won the superbowl""",
						    """what is the most current adobe flash player version""",
						    """how many episodes are there in dragon ball z""",
						    """what is the first step in the evolution of the eye""",
						    """where is gall bladder situated in human body""",
						    """what is the main mineral in lithium batteries""",
						    """who is the president of usa right now""",
						    """where do the greasers live in the outsiders""",
						    """panda is a national animal of which country""",
						    """what is the name of manchester united stadium""",
						]
						UpperCAmelCase_								=     tokenizer(__lowercase		)
						self.assertIsNotNone(__lowercase		)


