
"""simple docstring"""




import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
	from transformers.pipelines.conversational import Conversation

snake_case					  =						logging.get_logger(__name__)

snake_case					  =						{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

snake_case					  =						{
    'vocab_file': {
        'gpt2': 'https://huggingface.co/gpt2/resolve/main/vocab.json',
        'gpt2-medium': 'https://huggingface.co/gpt2-medium/resolve/main/vocab.json',
        'gpt2-large': 'https://huggingface.co/gpt2-large/resolve/main/vocab.json',
        'gpt2-xl': 'https://huggingface.co/gpt2-xl/resolve/main/vocab.json',
        'distilgpt2': 'https://huggingface.co/distilgpt2/resolve/main/vocab.json',
    },
    'merges_file': {
        'gpt2': 'https://huggingface.co/gpt2/resolve/main/merges.txt',
        'gpt2-medium': 'https://huggingface.co/gpt2-medium/resolve/main/merges.txt',
        'gpt2-large': 'https://huggingface.co/gpt2-large/resolve/main/merges.txt',
        'gpt2-xl': 'https://huggingface.co/gpt2-xl/resolve/main/merges.txt',
        'distilgpt2': 'https://huggingface.co/distilgpt2/resolve/main/merges.txt',
    },
}

snake_case					  =						{
    'gpt2': 1_0_2_4,
    'gpt2-medium': 1_0_2_4,
    'gpt2-large': 1_0_2_4,
    'gpt2-xl': 1_0_2_4,
    'distilgpt2': 1_0_2_4,
}

@lru_cache()
def     UpperCamelCase_    (						):
					SCREAMING_SNAKE_CASE           =      (
					    list(range(ord('!'     ),	ord('~'     ) + 1     )     ) + list(range(ord('¡'     ),	ord('¬'     ) + 1     )     ) + list(range(ord('®'     ),	ord('ÿ'     ) + 1     )     )
					)
					SCREAMING_SNAKE_CASE           =      bs[:]
					SCREAMING_SNAKE_CASE           =      0
					for b in range(2**8     ):
										if b not in bs:
															bs.append(_UpperCAmelCase     )
															cs.append(2**8 + n     )
															n += 1
					SCREAMING_SNAKE_CASE           =      [chr(_UpperCAmelCase     ) for n in cs]
					return dict(zip(_UpperCAmelCase,	_UpperCAmelCase     )     )

def     UpperCamelCase_    (						SCREAMING_SNAKE_CASE_     ):
					SCREAMING_SNAKE_CASE           =      set()
					SCREAMING_SNAKE_CASE           =      word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)     )
										SCREAMING_SNAKE_CASE           =      char
					return pairs




class 	UpperCamelCase      (			__magic_name__ ):

				"""simple docstring"""



				UpperCAmelCase_							: List[str]		    =							VOCAB_FILES_NAMES
				UpperCAmelCase_							: Tuple		    =							PRETRAINED_VOCAB_FILES_MAP
				UpperCAmelCase_							: str		    =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCAmelCase_							: Dict		    =							["input_ids", "attention_mask"]


				def __init__(							self						,      lowercase__						,      lowercase__						,      lowercase__="replace"						,      lowercase__="<|endoftext|>"						,      lowercase__="<|endoftext|>"						,      lowercase__="<|endoftext|>"						,      lowercase__=None						,      lowercase__=False						,      lowercase__=False						,      **lowercase__						,      )       ->       Optional[Any]:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =      AddedToken(lowercase__						,      lstrip=lowercase__						,      rstrip=lowercase__     ) if isinstance(lowercase__						,      lowercase__     ) else bos_token
									SCREAMING_SNAKE_CASE           =      AddedToken(lowercase__						,      lstrip=lowercase__						,      rstrip=lowercase__     ) if isinstance(lowercase__						,      lowercase__     ) else eos_token
									SCREAMING_SNAKE_CASE           =      AddedToken(lowercase__						,      lstrip=lowercase__						,      rstrip=lowercase__     ) if isinstance(lowercase__						,      lowercase__     ) else unk_token
									SCREAMING_SNAKE_CASE           =      AddedToken(lowercase__						,      lstrip=lowercase__						,      rstrip=lowercase__     ) if isinstance(lowercase__						,      lowercase__     ) else pad_token
									super().__init__(
									    errors=lowercase__						,      unk_token=lowercase__						,      bos_token=lowercase__						,      eos_token=lowercase__						,      pad_token=lowercase__						,      add_prefix_space=lowercase__						,      add_bos_token=lowercase__						,      **lowercase__						,      )
									SCREAMING_SNAKE_CASE           =      add_bos_token

									with open(lowercase__						,      encoding='utf-8'     ) as vocab_handle:
														SCREAMING_SNAKE_CASE           =      json.load(lowercase__     )
									SCREAMING_SNAKE_CASE           =      {v: k for k, v in self.encoder.items()}
									SCREAMING_SNAKE_CASE           =      errors  # how to handle errors in decoding
									SCREAMING_SNAKE_CASE           =      bytes_to_unicode()
									SCREAMING_SNAKE_CASE           =      {v: k for k, v in self.byte_encoder.items()}
									with open(lowercase__						,      encoding='utf-8'     ) as merges_handle:
														SCREAMING_SNAKE_CASE           =      merges_handle.read().split('\n'     )[1:-1]
									SCREAMING_SNAKE_CASE           =      [tuple(merge.split()     ) for merge in bpe_merges]
									SCREAMING_SNAKE_CASE           =      dict(zip(lowercase__						,      range(len(lowercase__     )     )     )     )
									SCREAMING_SNAKE_CASE           =      {}
									SCREAMING_SNAKE_CASE           =      add_prefix_space

									# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
									SCREAMING_SNAKE_CASE           =      re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'     )


				@property
				def 				A   (							self     )       ->       Union[str, Any]:
									"""simple docstring"""







									return len(self.encoder     )


				def 				A   (							self     )       ->       int:
									"""simple docstring"""







									return dict(self.encoder						,      **self.added_tokens_encoder     )


				def 				A   (							self						,      lowercase__     )       ->       Tuple:
									"""simple docstring"""







									if token in self.cache:
														return self.cache[token]
									SCREAMING_SNAKE_CASE           =      tuple(lowercase__     )
									SCREAMING_SNAKE_CASE           =      get_pairs(lowercase__     )

									if not pairs:
														return token

									while True:
														SCREAMING_SNAKE_CASE           =      min(lowercase__						,      key=lambda lowercase__     : self.bpe_ranks.get(lowercase__						,      float('inf'     )     )     )
														if bigram not in self.bpe_ranks:
																			break
														SCREAMING_SNAKE_CASE           =      bigram
														SCREAMING_SNAKE_CASE           =      []
														SCREAMING_SNAKE_CASE           =      0
														while i < len(lowercase__     ):
																			try:
																								SCREAMING_SNAKE_CASE           =      word.index(lowercase__						,      lowercase__     )
																			except ValueError:
																								new_word.extend(word[i:]     )
																								break
																			else:
																								new_word.extend(word[i:j]     )
																								SCREAMING_SNAKE_CASE           =      j

																			if word[i] == first and i < len(lowercase__     ) - 1 and word[i + 1] == second:
																								new_word.append(first + second     )
																								i += 2
																			else:
																								new_word.append(word[i]     )
																								i += 1
														SCREAMING_SNAKE_CASE           =      tuple(lowercase__     )
														SCREAMING_SNAKE_CASE           =      new_word
														if len(lowercase__     ) == 1:
																			break
														else:
																			SCREAMING_SNAKE_CASE           =      get_pairs(lowercase__     )
									SCREAMING_SNAKE_CASE           =      ' '.join(lowercase__     )
									SCREAMING_SNAKE_CASE           =      word
									return word


				def 				A   (							self						,      lowercase__						,      lowercase__=None     )       ->       Union[str, Any]:
									"""simple docstring"""







									if self.add_bos_token:
														SCREAMING_SNAKE_CASE           =      [self.bos_token_id]
									else:
														SCREAMING_SNAKE_CASE           =      []

									SCREAMING_SNAKE_CASE           =      bos_token_ids + token_ids_a

									if token_ids_a is None:
														return output

									return output + bos_token_ids + token_ids_a


				def 				A   (							self						,      lowercase__						,      lowercase__ = None						,      lowercase__ = False     )       ->       List[int]:
									"""simple docstring"""







									if already_has_special_tokens:
														return super().get_special_tokens_mask(
														    token_ids_a=lowercase__						,      token_ids_a=lowercase__						,      already_has_special_tokens=lowercase__     )

									if not self.add_bos_token:
														return super().get_special_tokens_mask(
														    token_ids_a=lowercase__						,      token_ids_a=lowercase__						,      already_has_special_tokens=lowercase__     )

									if token_ids_a is None:
														return [1] + ([0] * len(lowercase__     ))
									return [1] + ([0] * len(lowercase__     )) + [1] + ([0] * len(lowercase__     ))


				def 				A   (							self						,      lowercase__     )       ->       Any:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =      []
									for token in re.findall(self.pat						,      lowercase__     ):
														SCREAMING_SNAKE_CASE           =      ''.join(
														    self.byte_encoder[b] for b in token.encode('utf-8'     )     )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
														bpe_tokens.extend(bpe_token for bpe_token in self.bpe(lowercase__     ).split(' '     )     )
									return bpe_tokens


				def 				A   (							self						,      lowercase__     )       ->       str:
									"""simple docstring"""







									return self.encoder.get(lowercase__						,      self.encoder.get(self.unk_token     )     )


				def 				A   (							self						,      lowercase__     )       ->       str:
									"""simple docstring"""







									return self.decoder.get(lowercase__     )


				def 				A   (							self						,      lowercase__     )       ->       int:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =      ''.join(lowercase__     )
									SCREAMING_SNAKE_CASE           =      bytearray([self.byte_decoder[c] for c in text]     ).decode('utf-8'						,      errors=self.errors     )
									return text


				def 				A   (							self						,      lowercase__						,      lowercase__ = None     )       ->       Tuple[str]:
									"""simple docstring"""







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

									with open(lowercase__						,      'w'						,      encoding='utf-8'     ) as f:
														f.write(json.dumps(self.encoder						,      indent=2						,      sort_keys=lowercase__						,      ensure_ascii=lowercase__     ) + '\n'     )

									SCREAMING_SNAKE_CASE           =      0
									with open(lowercase__						,      'w'						,      encoding='utf-8'     ) as writer:
														writer.write('#version: 0.2\n'     )
														for bpe_tokens, token_index in sorted(self.bpe_ranks.items()						,      key=lambda lowercase__     : kv[1]     ):
																			if index != token_index:
																								logger.warning(
																								    f'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
																								    ' Please check that the tokenizer is not corrupted!'     )
																								SCREAMING_SNAKE_CASE           =      token_index
																			writer.write(' '.join(lowercase__     ) + '\n'     )
																			index += 1

									return vocab_file, merge_file


				def 				A   (							self						,      lowercase__						,      lowercase__=False						,      **lowercase__     )       ->       Dict:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =      kwargs.pop('add_prefix_space'						,      self.add_prefix_space     )
									if is_split_into_words or add_prefix_space:
														SCREAMING_SNAKE_CASE           =      ' ' + text
									return (text, kwargs)




				def 				A   (							self						,      lowercase__     )       ->       List[int]:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =      []
									for is_user, text in conversation.iter_texts():
														input_ids.extend(self.encode(lowercase__						,      add_special_tokens=lowercase__     ) + [self.eos_token_id]     )
									if len(lowercase__     ) > self.model_max_length:
														SCREAMING_SNAKE_CASE           =      input_ids[-self.model_max_length :]
									return input_ids







'''simple docstring'''


import numpy as np
import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute




def       A							(      _UpperCAmelCase   :				float = np.pi / 2						,_UpperCAmelCase   :				float = np.pi / 2						,_UpperCAmelCase   :				float = np.pi / 2					)  ->				qiskit.result.counts.Counts:


  '''simple docstring'''




  __lowerCAmelCase		:    Optional[int]			     =  QuantumRegister(3						,'qr'					)  # Define the number of quantum bits
  __lowerCAmelCase		:    Optional[int]			     =  ClassicalRegister(1						,'cr'					)  # Define the number of classical bits

  __lowerCAmelCase		:    List[Any]			     =  QuantumCircuit(_UpperCAmelCase						,_UpperCAmelCase					)  # Define the quantum circuit.

  # Build the circuit
  quantum_circuit.u(_UpperCAmelCase						,_UpperCAmelCase						,_UpperCAmelCase						,0					)  # Quantum State to teleport
  quantum_circuit.h(1					)  # add hadamard gate
  quantum_circuit.cx(
      1						,2					)  # add control gate with qubit 1 as control and 2 as target.
  quantum_circuit.cx(0						,1					)
  quantum_circuit.h(0					)
  quantum_circuit.cz(0						,2					)  # add control z gate.
  quantum_circuit.cx(1						,2					)

  quantum_circuit.measure([2]						,[0]					)  # measure the qubit.

  # Simulate the circuit using qasm simulator
  __lowerCAmelCase		:    List[str]			     =  Aer.get_backend('aer_simulator'					)
  __lowerCAmelCase		:    Optional[Any]			     =  execute(_UpperCAmelCase						,_UpperCAmelCase						,shots=1_0_0_0					)

  return job.result().get_counts(_UpperCAmelCase					)


if __name__ == "__main__":
    print(
        "Total count for teleported state is: "
        F'''{quantum_teleportation(np.pi/2, np.pi/2, np.pi/2)}'''
    )





