
"""simple docstring"""



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

import regex as re

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


UpperCAmelCase__          = logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
UpperCAmelCase__          = {
    'vocab_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/vocab.json',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/vocab.json',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json',
    },
    'merges_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/merges.txt',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/merges.txt',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt',
    },
}

UpperCAmelCase__          = {
    'facebook/bart-base': 1024,
    'facebook/bart-large': 1024,
    'facebook/bart-large-mnli': 1024,
    'facebook/bart-large-cnn': 1024,
    'facebook/bart-large-xsum': 1024,
    'yjernite/bart_eli5': 1024,
}
@lru_cache()
def 					_UpperCAmelCase      ( )     ->					Optional[int]:
  _snake_case					     =       (
      list(range(ord('''!'''		) ,					ord('''~'''		) + 1		)		) + list(range(ord('''¡'''		) ,					ord('''¬'''		) + 1		)		) + list(range(ord('''®'''		) ,					ord('''ÿ'''		) + 1		)		)
  )
  _snake_case					     =       bs[:]
  _snake_case					     =       0
  for b in range(2**8		):
    if b not in bs:
      bs.append(__lowerCamelCase		)
      cs.append(2**8 + n		)
      n += 1
  _snake_case					     =       [chr(__lowerCamelCase		) for n in cs]
  return dict(zip(__lowerCamelCase ,					__lowerCamelCase		)		)
def 					_UpperCAmelCase      ( __lowerCamelCase   :       str		)     ->					str:
  _snake_case					     =       set()
  _snake_case					     =       word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)		)
    _snake_case					     =       char
  return pairs

class       lowerCAmelCase__				(						A_	):
     __a						=					VOCAB_FILES_NAMES
     __a						=					PRETRAINED_VOCAB_FILES_MAP
     __a						=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __a						=					["""input_ids""", """attention_mask"""]







     def __init__(							self			:			Tuple    ,      _lowerCamelCase			:			Dict    ,      _lowerCamelCase			:			int    ,      _lowerCamelCase			:			Optional[Any]="replace"    ,      _lowerCamelCase			:			Union[str, Any]="<s>"    ,      _lowerCamelCase			:			List[Any]="</s>"    ,      _lowerCamelCase			:			Union[str, Any]="</s>"    ,      _lowerCamelCase			:			Optional[int]="<s>"    ,      _lowerCamelCase			:			Optional[Any]="<unk>"    ,      _lowerCamelCase			:			Tuple="<pad>"    ,      _lowerCamelCase			:			Any="<mask>"    ,      _lowerCamelCase			:			Union[str, Any]=False    ,      **_lowerCamelCase			:			Optional[int]    ,      ):
       _snake_case					     =       AddedToken(_lowerCamelCase    ,      lstrip=_lowerCamelCase    ,      rstrip=_lowerCamelCase			) if isinstance(_lowerCamelCase    ,      _lowerCamelCase			) else bos_token
       _snake_case					     =       AddedToken(_lowerCamelCase    ,      lstrip=_lowerCamelCase    ,      rstrip=_lowerCamelCase			) if isinstance(_lowerCamelCase    ,      _lowerCamelCase			) else eos_token
       _snake_case					     =       AddedToken(_lowerCamelCase    ,      lstrip=_lowerCamelCase    ,      rstrip=_lowerCamelCase			) if isinstance(_lowerCamelCase    ,      _lowerCamelCase			) else sep_token
       _snake_case					     =       AddedToken(_lowerCamelCase    ,      lstrip=_lowerCamelCase    ,      rstrip=_lowerCamelCase			) if isinstance(_lowerCamelCase    ,      _lowerCamelCase			) else cls_token
       _snake_case					     =       AddedToken(_lowerCamelCase    ,      lstrip=_lowerCamelCase    ,      rstrip=_lowerCamelCase			) if isinstance(_lowerCamelCase    ,      _lowerCamelCase			) else unk_token
       _snake_case					     =       AddedToken(_lowerCamelCase    ,      lstrip=_lowerCamelCase    ,      rstrip=_lowerCamelCase			) if isinstance(_lowerCamelCase    ,      _lowerCamelCase			) else pad_token

       # Mask token behave like a normal word, i.e. include the space before it
       _snake_case					     =       AddedToken(_lowerCamelCase    ,      lstrip=_lowerCamelCase    ,      rstrip=_lowerCamelCase			) if isinstance(_lowerCamelCase    ,      _lowerCamelCase			) else mask_token

       super().__init__(
           errors=_lowerCamelCase    ,      bos_token=_lowerCamelCase    ,      eos_token=_lowerCamelCase    ,      unk_token=_lowerCamelCase    ,      sep_token=_lowerCamelCase    ,      cls_token=_lowerCamelCase    ,      pad_token=_lowerCamelCase    ,      mask_token=_lowerCamelCase    ,      add_prefix_space=_lowerCamelCase    ,      **_lowerCamelCase    ,      )

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

       # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
       _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      lowercase	(							self			:			Union[str, Any]			):
       return len(self.encoder			)







     def      lowercase	(							self			:			Tuple			):
       return dict(self.encoder    ,      **self.added_tokens_encoder			)







     def      lowercase	(							self			:			Union[str, Any]    ,      _lowerCamelCase			:			Optional[Any]			):
       if token in self.cache:
         return self.cache[token]
       _snake_case					     =       tuple(_lowerCamelCase			)
       _snake_case					     =       get_pairs(_lowerCamelCase			)

       if not pairs:
         return token

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

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







     def      lowercase	(							self			:			List[str]    ,      _lowerCamelCase			:			Any			):
       _snake_case					     =       []
       for token in re.findall(self.pat    ,      _lowerCamelCase			):
         _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(_lowerCamelCase			).split(''' '''			)			)
       return bpe_tokens







     def      lowercase	(							self			:			Optional[int]    ,      _lowerCamelCase			:			int			):
       return self.encoder.get(_lowerCamelCase    ,      self.encoder.get(self.unk_token			)			)







     def      lowercase	(							self			:			List[str]    ,      _lowerCamelCase			:			Tuple			):
       return self.decoder.get(_lowerCamelCase			)







     def      lowercase	(							self			:			int    ,      _lowerCamelCase			:			int			):
       _snake_case					     =       ''''''.join(_lowerCamelCase			)
       _snake_case					     =       bytearray([self.byte_decoder[c] for c in text]			).decode('''utf-8'''    ,      errors=self.errors			)
       return text







     def      lowercase	(							self			:			List[str]    ,      _lowerCamelCase			:			str    ,      _lowerCamelCase			:			Optional[str] = None			):
       if not os.path.isdir(_lowerCamelCase			):
         logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''			)
         return
       _snake_case					     =       os.path.join(
           _lowerCamelCase    ,      (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']			)
       _snake_case					     =       os.path.join(
           _lowerCamelCase    ,      (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']			)

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

       _snake_case					     =       0
       with open(_lowerCamelCase    ,      '''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 _lowerCamelCase			: 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!'''			)
             _snake_case					     =       token_index
           writer.write(''' '''.join(_lowerCamelCase			) + '''\n'''			)
           index += 1

       return vocab_file, merge_file







     def      lowercase	(							self			:			List[Any]    ,      _lowerCamelCase			:			List[int]    ,      _lowerCamelCase			:			Optional[List[int]] = None			):
       if token_ids_a is None:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       _snake_case					     =       [self.cls_token_id]
       _snake_case					     =       [self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep







     def      lowercase	(							self			:			str    ,      _lowerCamelCase			:			List[int]    ,      _lowerCamelCase			:			Optional[List[int]] = None    ,      _lowerCamelCase			:			bool = False			):
       if already_has_special_tokens:
         return super().get_special_tokens_mask(
             token_ids_a=_lowerCamelCase    ,      token_ids_a=_lowerCamelCase    ,      already_has_special_tokens=_lowerCamelCase			)

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







     def      lowercase	(							self			:			int    ,      _lowerCamelCase			:			List[int]    ,      _lowerCamelCase			:			Optional[List[int]] = None			):
       _snake_case					     =       [self.sep_token_id]
       _snake_case					     =       [self.cls_token_id]

       if token_ids_a is None:
         return len(cls + token_ids_a + sep			) * [0]
       return len(cls + token_ids_a + sep + sep + token_ids_a + sep			) * [0]







     def      lowercase	(							self			:			str    ,      _lowerCamelCase			:			Any    ,      _lowerCamelCase			:			Optional[Any]=False    ,      **_lowerCamelCase			:			str			):
       _snake_case					     =       kwargs.pop('''add_prefix_space'''    ,      self.add_prefix_space			)
       if (is_split_into_words or add_prefix_space) and (len(_lowerCamelCase			) > 0 and not text[0].isspace()):
         _snake_case					     =       ''' ''' + text
       return (text, kwargs)





"""simple docstring"""



import math

import numpy as np
import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute
def 					_UpperCAmelCase      ( __lowerCamelCase   :       int = 3		)     ->					qiskit.result.counts.Counts:
  if isinstance(__lowerCamelCase ,					__lowerCamelCase		):
    raise TypeError('''number of qubits must be a integer.'''		)
  if number_of_qubits <= 0:
    raise ValueError('''number of qubits must be > 0.'''		)
  if math.floor(__lowerCamelCase		) != number_of_qubits:
    raise ValueError('''number of qubits must be exact integer.'''		)
  if number_of_qubits > 10:
    raise ValueError('''number of qubits too large to simulate(>10).'''		)

  _snake_case					     =       QuantumRegister(__lowerCamelCase ,					'''qr'''		)
  _snake_case					     =       ClassicalRegister(__lowerCamelCase ,					'''cr'''		)

  _snake_case					     =       QuantumCircuit(__lowerCamelCase ,					__lowerCamelCase		)

  _snake_case					     =       number_of_qubits

  for i in range(__lowerCamelCase		):
    quantum_circuit.h(number_of_qubits - i - 1		)
    counter -= 1
    for j in range(__lowerCamelCase		):
      quantum_circuit.cp(np.pi / 2 ** (counter - j) ,					__lowerCamelCase ,					__lowerCamelCase		)

  for k in range(number_of_qubits // 2		):
    quantum_circuit.swap(__lowerCamelCase ,					number_of_qubits - k - 1		)

  # measure all the qubits
  quantum_circuit.measure(__lowerCamelCase ,					__lowerCamelCase		)
  # simulate with 10000 shots
  _snake_case					     =       Aer.get_backend('''qasm_simulator'''		)
  _snake_case					     =       execute(__lowerCamelCase ,					__lowerCamelCase ,					shots=1_00_00		)

  return job.result().get_counts(__lowerCamelCase		)


if __name__ == "__main__":
 print(
     F"Total count for quantum fourier transform state is: \
    {quantum_fourier_transform(3)}"
 )



