



import os
from shutil import copyfile
from typing import TYPE_CHECKING, Optional, Tuple

from tokenizers import processors

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
from ...utils.versions import require_version


if TYPE_CHECKING:
							from transformers.pipelines.conversational import Conversation

require_version("tokenizers>=0.13.3")

if is_sentencepiece_available():
							from .tokenization_llama import LlamaTokenizer
else:
							UpperCamelCase_      			=  None

UpperCamelCase_      			=  logging.get_logger(__name__)
UpperCamelCase_      			=  {"vocab_file": "tokenizer.model", "tokenizer_file": "tokenizer.json"}

UpperCamelCase_			,     UpperCamelCase_      			=  "[INST]", "[/INST]"
UpperCamelCase_			,     UpperCamelCase_      			=  "<<SYS>>\n", "\n<</SYS>>\n\n"

# fmt: off
UpperCamelCase_      			=  "You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your\\nanswers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure\\nthat your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not\\ncorrect. If you don't know the answer to a question, please don't share false information."







class 				a_    (						_snake_case							):
						UpperCamelCase__ :		Union[str, Any]										=VOCAB_FILES_NAMES
						UpperCamelCase__ :		Any										=LlamaTokenizer
						UpperCamelCase__ :		Union[str, Any]										="left"
						UpperCamelCase__ :		str										=["input_ids", "attention_mask"]

						def __init__(       self      :Optional[int]  ,		_lowercase      :Optional[Any]=None  ,		_lowercase      :Tuple=None  ,		_lowercase      :str=False  ,		_lowercase      :List[str]="<unk>"  ,		_lowercase      :Any="<s>"  ,		_lowercase      :Optional[int]="</s>"  ,		_lowercase      :Union[str, Any]=True  ,		_lowercase      :List[str]=False  ,		**_lowercase      :Optional[int]  ,		)						->   str:
												super().__init__(
												    vocab_file=_lowercase  ,		tokenizer_file=_lowercase  ,		clean_up_tokenization_spaces=_lowercase  ,		unk_token=_lowercase  ,		bos_token=_lowercase  ,		eos_token=_lowercase  ,		**_lowercase  ,		)
												UpperCAmelCase_					=	add_bos_token
												UpperCAmelCase_					=	add_eos_token
												self.update_post_processor()

												UpperCAmelCase_					=	vocab_file
												UpperCAmelCase_					=	False if not self.vocab_file else True

						def       __a			(       self      :Union[str, Any])						->   int:
												UpperCAmelCase_					=	self.bos_token
												UpperCAmelCase_					=	self.bos_token_id

												UpperCAmelCase_					=	self.eos_token
												UpperCAmelCase_					=	self.eos_token_id

												UpperCAmelCase_					=	f"{(bos+':0 ') * self.add_bos_token}$A:0{(' '+eos+':0') * self.add_eos_token}"
												UpperCAmelCase_					=	f"{single}{(' '+bos+':1') * self.add_bos_token} $B:1{(' '+eos+':1') * self.add_eos_token}"

												UpperCAmelCase_					=	[]
												if self.add_bos_token:
																		special_tokens.append((bos, bos_token_id))
												if self.add_eos_token:
																		special_tokens.append((eos, eos_token_id))
												UpperCAmelCase_					=	processors.TemplateProcessing(
												    single=_lowercase  ,		pair=_lowercase  ,		special_tokens=_lowercase)

						@property
						def       __a			(       self      :Optional[Any])						->   Optional[int]:
												return self._add_eos_token

						@property
						def       __a			(       self      :str)						->   int:
												return self._add_bos_token

						@add_eos_token.setter
						def       __a			(       self      :Optional[int]  ,		_lowercase      :Tuple)						->   Union[str, Any]:
												UpperCAmelCase_					=	value
												self.update_post_processor()

						@add_bos_token.setter
						def       __a			(       self      :int  ,		_lowercase      :Tuple)						->   List[Any]:
												UpperCAmelCase_					=	value
												self.update_post_processor()

						def       __a			(       self      :Dict  ,		_lowercase      :str  ,		_lowercase      :Optional[str] = None)						->   Tuple[str]:
												if not self.can_save_slow_tokenizer:
																		raise ValueError(
																		    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
																		    '''tokenizer.''')

												if not os.path.isdir(_lowercase):
																		logger.error(f"Vocabulary path ({save_directory}) should be a directory")
																		return
												UpperCAmelCase_					=	os.path.join(
												    _lowercase  ,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''])

												if os.path.abspath(self.vocab_file) != os.path.abspath(_lowercase):
																		copyfile(self.vocab_file  ,		_lowercase)

												return (out_vocab_file,)




						def       __a			(       self      :Dict  ,		_lowercase      :"Conversation")						->   Union[str, Any]:
												UpperCAmelCase_					=	list(conversation.iter_texts())
												if not all([is_user for is_user, msg in dialogue[::2]]) or not all(
												    [not is_user for is_user, msg in dialogue[1::2]]):
																		raise ValueError(
																		    '''The model only supports \'user\' and \'assistant\' roles, starting with user and alternating (u/a/u/a/u...)''')

												UpperCAmelCase_					=	[]
												if len(conversation.past_user_inputs) > 0:
																		if not conversation.past_user_inputs[0].startswith(_lowercase) or E_SYS not in conversation.past_user_inputs[0]:
																								UpperCAmelCase_					=	(
																								    B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + conversation.past_user_inputs[0]
																								)
												elif not dialogue[0][1].startswith(_lowercase) or E_SYS not in dialogue[0][1]:
																		UpperCAmelCase_					=	(dialogue[0][0], B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + dialogue[0][1])

												dialog_tokens += sum(
												    [
												        [self.bos_token_id]
												        + self.encode(
												            f"{B_INST} {(prompt[1]).strip()} {E_INST} {(answer[1]).strip()} "  ,		add_special_tokens=_lowercase)
												        + [self.eos_token_id]
												        for prompt, answer in zip(dialogue[::2]  ,		dialogue[1::2])
												    ]  ,		[]  ,		)
												if not (dialogue[-1][0]):
																		raise ValueError(f"Last message must be from user, got {dialogue[-1]['role']}")
												dialog_tokens += [self.bos_token_id] + self.encode(
												    f"{B_INST} {(dialogue[-1][1]).strip()} {E_INST}"  ,		add_special_tokens=_lowercase)
												return dialog_tokens










import numpy as np
import qiskit







def 							A     (						__UpperCAmelCase				,   __UpperCAmelCase      )			->			qiskit.QuantumCircuit:



						'''simple docstring'''






						UpperCAmelCase_					=	qiskit.QuantumCircuit(num_qubits + 1      )

						# First, let's deal with the case in which oracle is balanced
						if case == "balanced":
												# First generate a random number that tells us which CNOTs to
												# wrap in X-gates:
												UpperCAmelCase_					=	np.random.randint(1				,   2**num_qubits      )
												# Next, format 'b' as a binary string of length 'n', padded with zeros:
												UpperCAmelCase_					=	format(__UpperCAmelCase				,   f"0{num_qubits}b"      )
												# Next, we place the first X-gates. Each digit in our binary string
												# corresponds to a qubit, if the digit is 0, we do nothing, if it's 1
												# we apply an X-gate to that qubit:
												for index, bit in enumerate(__UpperCAmelCase      ):
																		if bit == "1":
																								oracle_qc.x(__UpperCAmelCase      )
        # Do the controlled-NOT gates for each qubit, using the output qubit
        # as the target:
												for index in range(__UpperCAmelCase      ):
																		oracle_qc.cx(__UpperCAmelCase				,   __UpperCAmelCase      )
												# Next, place the final X-gates
												for index, bit in enumerate(__UpperCAmelCase      ):
																		if bit == "1":
																								oracle_qc.x(__UpperCAmelCase      )

    # Case in which oracle is constant
						if case == "constant":
												# First decide what the fixed output of the oracle will be
												# (either always 0 or always 1)
												UpperCAmelCase_					=	np.random.randint(2      )
												if output == 1:
																		oracle_qc.x(__UpperCAmelCase      )

						UpperCAmelCase_					=	oracle_qc.to_gate()
						UpperCAmelCase_					=	'''Oracle'''  # To show when we display the circuit
						return oracle_gate







def 							A     (						__UpperCAmelCase				,   __UpperCAmelCase      )			->			qiskit.QuantumCircuit:



						'''simple docstring'''






						UpperCAmelCase_					=	qiskit.QuantumCircuit(num_qubits + 1				,   __UpperCAmelCase      )
						# Set up the output qubit:
						dj_circuit.x(__UpperCAmelCase      )
						dj_circuit.h(__UpperCAmelCase      )
						# And set up the input register:
						for qubit in range(__UpperCAmelCase      ):
												dj_circuit.h(__UpperCAmelCase      )
						# Let's append the oracle gate to our circuit:
						dj_circuit.append(__UpperCAmelCase				,   range(num_qubits + 1      )      )
						# Finally, perform the H-gates again and measure:
						for qubit in range(__UpperCAmelCase      ):
												dj_circuit.h(__UpperCAmelCase      )

						for i in range(__UpperCAmelCase      ):
												dj_circuit.measure(__UpperCAmelCase				,   __UpperCAmelCase      )

						return dj_circuit







def 							A     (						__UpperCAmelCase				,   __UpperCAmelCase      )			->			qiskit.result.counts.Counts:



						'''simple docstring'''






						UpperCAmelCase_					=	qiskit.Aer.get_backend('''aer_simulator'''      )

						UpperCAmelCase_					=	dj_oracle(__UpperCAmelCase				,   __UpperCAmelCase      )
						UpperCAmelCase_					=	dj_algorithm(__UpperCAmelCase				,   __UpperCAmelCase      )

						# Execute the circuit on the simulator
						UpperCAmelCase_					=	qiskit.execute(__UpperCAmelCase				,   __UpperCAmelCase				,   shots=1000      )

						# Return the histogram data of the results of the experiment.
						return job.result().get_counts(__UpperCAmelCase      )


if __name__ == "__main__":
							print(f"Deutsch Jozsa - Constant Oracle: {deutsch_jozsa('constant', 3)}")
							print(f"Deutsch Jozsa - Balanced Oracle: {deutsch_jozsa('balanced', 3)}")





