




import collections
import os
from typing import List, Optional, Tuple

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
		import jieba

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowercase__							:	str											=		logging.get_logger(__name__)

lowercase__							:	int											=		{"vocab_file": "vocab.txt"}

lowercase__							:	Any											=		{
    "vocab_file": {
        "openbmb/cpm-ant-10b": "https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt",
    },
}

lowercase__							:	List[Any]											=		{
    "openbmb/cpm-ant-10b": 1024,
}


def 		lowerCamelCase__       (						_A				):







	'''simple docstring'''





	snake_case_						       =	collections.OrderedDict()
	with open(_A	,      "r"	,      encoding="utf-8"				) as reader:
		snake_case_						       =	reader.readlines()
	for index, token in enumerate(_A				):
		snake_case_						       =	token.rstrip("\n"				)
		snake_case_						       =	index
	return vocab
class 						UpperCAmelCase  (							UpperCAmelCase__     ):







						'''simple docstring'''





						def __init__(		self				:	str			,      __lowercase				:	Union[str, Any]			,      __lowercase				:	Dict="<unk>"			,      __lowercase				:	int=2_00		):






							"""simple docstring"""






							snake_case_						       =	vocab
							snake_case_						       =	unk_token
							snake_case_						       =	max_input_chars_per_word






						def 			snake_case__		(		self				:	Any			,      __lowercase				:	Union[str, Any]		):






							"""simple docstring"""






							snake_case_						       =	list(__lowercase		)
							if len(__lowercase		) > self.max_input_chars_per_word:
								return [self.unk_token]

							snake_case_						       =	0
							snake_case_						       =	[]
							while start < len(__lowercase		):
								snake_case_						       =	len(__lowercase		)
								snake_case_						       =	None
								while start < end:
									snake_case_						       =	"".join(chars[start:end]		)
									if substr in self.vocab:
										snake_case_						       =	substr
										break
									end -= 1
								if cur_substr is None:
									sub_tokens.append(self.unk_token		)
									start += 1
								else:
									sub_tokens.append(__lowercase		)
									snake_case_						       =	end

							return sub_tokens







class 						UpperCAmelCase  (							UpperCAmelCase__     ):







						'''simple docstring'''





						lowerCAmelCase_							=  VOCAB_FILES_NAMES
						lowerCAmelCase_							=  PRETRAINED_VOCAB_FILES_MAP
						lowerCAmelCase_							=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						lowerCAmelCase_							=  ['''input_ids''', '''attention_mask''']
						lowerCAmelCase_							=  False






						def __init__(		self				:	Optional[int]			,      __lowercase				:	str			,      __lowercase				:	Dict="<d>"			,      __lowercase				:	Optional[int]="</d>"			,      __lowercase				:	Tuple="<s>"			,      __lowercase				:	List[Any]="</s>"			,      __lowercase				:	Dict="<pad>"			,      __lowercase				:	Optional[int]="<unk>"			,      __lowercase				:	Dict="</n>"			,      __lowercase				:	int="</_>"			,      __lowercase				:	Tuple="left"			,      **__lowercase				:	List[str]			,      ):






							"""simple docstring"""






							requires_backends(self			,      ["jieba"]		)
							super().__init__(
							    bod_token=__lowercase			,      eod_token=__lowercase			,      bos_token=__lowercase			,      eos_token=__lowercase			,      pad_token=__lowercase			,      unk_token=__lowercase			,      line_token=__lowercase			,      space_token=__lowercase			,      padding_side=__lowercase			,      **__lowercase			,      )
							snake_case_						       =	bod_token
							snake_case_						       =	eod_token
							snake_case_						       =	load_vocab(__lowercase		)
							snake_case_						       =	self.encoder[space_token]
							snake_case_						       =	self.encoder[line_token]

							del self.encoder[space_token]
							del self.encoder[line_token]

							snake_case_						       =	collections.OrderedDict(sorted(self.encoder.items()			,      key=lambda __lowercase		: x[1]		)		)
							snake_case_						       =	{v: k for k, v in self.encoder.items()}

							snake_case_						       =	WordpieceTokenizer(vocab=self.encoder			,      unk_token=self.unk_token		)






						@property
						def 			snake_case__		(		self				:	Any		):






							"""simple docstring"""






							return self.encoder[self.bod_token]






						@property
						def 			snake_case__		(		self				:	Optional[int]		):






							"""simple docstring"""






							return self.encoder[self.eod_token]






						@property
						def 			snake_case__		(		self				:	int		):






							"""simple docstring"""






							return self.encoder["\n"]






						@property
						def 			snake_case__		(		self				:	Dict		):






							"""simple docstring"""






							return len(self.encoder		)






						def 			snake_case__		(		self				:	Dict		):






							"""simple docstring"""






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






						def 			snake_case__		(		self				:	List[Any]			,      __lowercase				:	int		):






							"""simple docstring"""






							snake_case_						       =	[]
							for x in jieba.cut(__lowercase			,      cut_all=__lowercase		):
								output_tokens.extend(self.wordpiece_tokenizer.tokenize(__lowercase		)		)
							return output_tokens






						def 			snake_case__		(		self				:	Tuple			,      __lowercase				:	Union[str, Any]			,      **__lowercase				:	int		):






							"""simple docstring"""






							snake_case_						       =	[i for i in token_ids if i >= 0]
							snake_case_						       =	[
							    x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
							]
							return super()._decode(__lowercase			,      **__lowercase		)






						def 			snake_case__		(		self				:	Any			,      __lowercase				:	Optional[Any]		):






							"""simple docstring"""






							return token in self.encoder






						def 			snake_case__		(		self				:	Optional[int]			,      __lowercase				:	List[str]		):






							"""simple docstring"""






							return "".join(__lowercase		)






						def 			snake_case__		(		self				:	int			,      __lowercase				:	List[str]		):






							"""simple docstring"""






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






						def 			snake_case__		(		self				:	List[Any]			,      __lowercase				:	Union[str, Any]		):






							"""simple docstring"""






							return self.decoder.get(__lowercase			,      self.unk_token		)






						def 			snake_case__		(		self				:	Union[str, Any]			,      __lowercase				:	str			,      __lowercase				:	Optional[str] = None		):






							"""simple docstring"""






							if os.path.isdir(__lowercase		):
								snake_case_						       =	os.path.join(
								    __lowercase			,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)
							else:
								snake_case_						       =	(filename_prefix + "-" if filename_prefix else "") + save_directory
							snake_case_						       =	0
							if " " in self.encoder:
								snake_case_						       =	self.encoder[" "]
								del self.encoder[" "]
							if "\n" in self.encoder:
								snake_case_						       =	self.encoder["\n"]
								del self.encoder["\n"]
							snake_case_						       =	collections.OrderedDict(sorted(self.encoder.items()			,      key=lambda __lowercase		: x[1]		)		)
							with open(__lowercase			,      "w"			,      encoding="utf-8"		) as writer:
								for token, token_index in self.encoder.items():
									if index != token_index:
										logger.warning(
										    f"Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive."
										    " Please check that the vocabulary is not corrupted!"		)
										snake_case_						       =	token_index
									writer.write(token + "\n"		)
									index += 1
							return (vocab_file,)






						def 			snake_case__		(		self				:	int			,      __lowercase				:	List[int]			,      __lowercase				:	List[int] = None		):






							"""simple docstring"""






							if token_ids_a is None:
								return [self.bos_token_id] + token_ids_a
							return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a






						def 			snake_case__		(		self				:	Dict			,      __lowercase				:	List[int]			,      __lowercase				:	Optional[List[int]] = None			,      __lowercase				:	bool = False		):






							"""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 token_ids_a is not None:
								return [1] + ([0] * len(__lowercase		)) + [1] + ([0] * len(__lowercase		))
							return [1] + ([0] * len(__lowercase		))






import numpy as np
import qiskit


def 		lowerCamelCase__       (						_A = 8	,      _A = None				):







	'''simple docstring'''





	snake_case_						       =	np.random.default_rng(seed=_A				)

	# Roughly 25% of the qubits will contribute to the key.
	# So we take more than we need.
	snake_case_						       =	6 * key_len
	# Measurement basis for Alice's qubits.
	snake_case_						       =	rng.integers(2	,      size=_A				)
	# The set of states Alice will prepare.
	snake_case_						       =	rng.integers(2	,      size=_A				)
	# Measurement basis for Bob's qubits.
	snake_case_						       =	rng.integers(2	,      size=_A				)

	# Quantum Circuit to simulate BB84
	snake_case_						       =	qiskit.QuantumCircuit(_A	,      name="BB84"				)

	# Alice prepares her qubits according to rules above.
	for index, _ in enumerate(_A				):
		if alice_state[index] == 1:
			bbaa_circ.x(_A				)
		if alice_basis[index] == 1:
			bbaa_circ.h(_A				)
	bbaa_circ.barrier()

	# Bob measures the received qubits according to rules above.
	for index, _ in enumerate(_A				):
		if bob_basis[index] == 1:
			bbaa_circ.h(_A				)

	bbaa_circ.barrier()
	bbaa_circ.measure_all()

	# Simulate the quantum circuit.
	snake_case_						       =	qiskit.Aer.get_backend("aer_simulator"				)
	# We only need to run one shot because the key is unique.
	# Multiple shots will produce the same key.
	snake_case_						       =	qiskit.execute(_A	,      _A	,      shots=1	,      seed_simulator=_A				)
	# Returns the result of measurement.
	snake_case_						       =	job.result().get_counts(_A				).most_frequent()

	# Extracting the generated key from the simulation results.
	# Only keep measurement results where Alice and Bob chose the same basis.
	snake_case_						       =	"".join(
	    [
	        result_bit
	        for alice_basis_bit, bob_basis_bit, result_bit in zip(
	            _A	,      _A	,      _A				)
	        if alice_basis_bit == bob_basis_bit
	    ]				)

	# Get final key. Pad with 0 if too short, otherwise truncate.
	snake_case_						       =	gen_key[:key_len] if len(_A				) >= key_len else gen_key.ljust(_A	,      "0"				)
	return key


if __name__ == "__main__":
		print(f'''The generated key is : {bbaa(8, seed=0)}''')
		from doctest import testmod

		testmod()
