




'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


A				: Optional[Any]					      =			logging.get_logger(__name__)

A				: Optional[int]					      =			{
    """google/reformer-crime-and-punishment""": (
        """https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/config.json"""
    ),
    """google/reformer-enwik8""": """https://huggingface.co/google/reformer-enwik8/resolve/main/config.json""",
}






class 			SCREAMING_SNAKE_CASE(							A_	):
       snake_case_					:	Optional[int]       =   """reformer"""
       snake_case_					:	Optional[int]       =   ["""past_buckets_states"""]
       snake_case_					:	Dict       =   {}

       def __init__(       self   ,						lowerCamelCase__=64   ,						lowerCamelCase__=["local", "lsh", "local", "lsh", "local", "lsh"]   ,						lowerCamelCase__=1.0   ,						lowerCamelCase__=True   ,						lowerCamelCase__=[64, 64]   ,						lowerCamelCase__=[64, 192]   ,						lowerCamelCase__=0   ,						lowerCamelCase__=2   ,						lowerCamelCase__=512   ,						lowerCamelCase__=None   ,						lowerCamelCase__="relu"   ,						lowerCamelCase__=0.05   ,						lowerCamelCase__=256   ,						lowerCamelCase__=0.02   ,						lowerCamelCase__=False   ,						lowerCamelCase__=1E-1_2   ,						lowerCamelCase__=1   ,						lowerCamelCase__=0   ,						lowerCamelCase__=0.05   ,						lowerCamelCase__=64   ,						lowerCamelCase__=64   ,						lowerCamelCase__=0.0   ,						lowerCamelCase__=1   ,						lowerCamelCase__=0   ,						lowerCamelCase__=4096   ,						lowerCamelCase__=12   ,						lowerCamelCase__=None   ,						lowerCamelCase__=1   ,						lowerCamelCase__=0   ,						lowerCamelCase__=320   ,						lowerCamelCase__=False   ,						lowerCamelCase__=True   ,						lowerCamelCase__=None   ,						**lowerCamelCase__   ,						)       ->   List[str]:

           """simple docstring"""



           __lowercase     							=		hash_seed
           __lowercase     							=		vocab_size
           __lowercase     							=		attention_head_size
           __lowercase     							=		hidden_size
           __lowercase     							=		num_attention_heads
           __lowercase     							=		num_hashes
           __lowercase     							=		len(snake_case_	)
           __lowercase     							=		tuple(snake_case_	) if isinstance(snake_case_   ,						snake_case_	) else num_buckets
           __lowercase     							=		lsh_attn_chunk_length
           __lowercase     							=		local_attn_chunk_length
           __lowercase     							=		lsh_num_chunks_after
           __lowercase     							=		lsh_num_chunks_before
           __lowercase     							=		local_num_chunks_after
           __lowercase     							=		local_num_chunks_before
           __lowercase     							=		hidden_act
           __lowercase     							=		feed_forward_size
           __lowercase     							=		hidden_dropout_prob
           __lowercase     							=		lsh_attention_probs_dropout_prob
           __lowercase     							=		local_attention_probs_dropout_prob
           __lowercase     							=		max_position_embeddings
           __lowercase     							=		initializer_range
           __lowercase     							=		layer_norm_eps
           __lowercase     							=		axial_pos_embds
           __lowercase     							=		tuple(snake_case_	)
           __lowercase     							=		tuple(snake_case_	)
           __lowercase     							=		axial_norm_std
           __lowercase     							=		chunk_size_lm_head
           __lowercase     							=		attn_layers
           __lowercase     							=		use_cache
           __lowercase     							=		classifier_dropout
           super().__init__(
               pad_token_id=snake_case_   ,						eos_token_id=snake_case_   ,						is_decoder=snake_case_   ,						tie_word_embeddings=snake_case_   ,						**snake_case_   ,						)










"""simple docstring"""



import numpy as np
import qiskit







def     _SCREAMING_SNAKE_CASE  (				lowercase_     ,					lowercase_		)		->						qiskit.QuantumCircuit:
 A__			=							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:
  A__			=							np.random.randint(1     ,					2**num_qubits		)
  # Next, format 'b' as a binary string of length 'n', padded with zeros:
  A__			=							format(lowercase_     ,					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(lowercase_		):
   if bit == "1":
    oracle_qc.x(lowercase_		)
        # Do the controlled-NOT gates for each qubit, using the output qubit
        # as the target:
  for index in range(lowercase_		):
   oracle_qc.cx(lowercase_     ,					lowercase_		)
  # Next, place the final X-gates
  for index, bit in enumerate(lowercase_		):
   if bit == "1":
    oracle_qc.x(lowercase_		)

    # 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)
  A__			=							np.random.randint(2		)
  if output == 1:
   oracle_qc.x(lowercase_		)

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







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

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

 return dj_circuit







def     _SCREAMING_SNAKE_CASE  (				lowercase_     ,					lowercase_		)		->						qiskit.result.counts.Counts:
 A__			=							qiskit.Aer.get_backend("aer_simulator"		)

 A__			=							dj_oracle(lowercase_     ,					lowercase_		)
 A__			=							dj_algorithm(lowercase_     ,					lowercase_		)

 # Execute the circuit on the simulator
 A__			=							qiskit.execute(lowercase_     ,					lowercase_     ,					shots=10_00		)

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


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





