

"""simple docstring"""




import argparse
import itertools
import operator
import sys
from collections import OrderedDict

from run_eval import datetime_now, run_generate

from utils import ROUGE_KEYS


# A table of supported tasks and the list of scores in the order of importance to be sorted by.
# To add a new task, simply list the score names that `run_eval.run_generate()` returns
SCREAMING_SNAKE_CASE_  :      Union[str, Any]							=      {
    '''translation''': ['''bleu'''],
    '''summarization''': ROUGE_KEYS,
}



def 						UpperCAmelCase__ (					A__ )   ->   str:




   """simple docstring"""
   lowerCamelCase__						       =      search.split()
   lowerCamelCase__						       =      dict((g.split("=" ) for g in groups) )
   lowerCamelCase__						       =      list(entries.keys() )
   lowerCamelCase__						       =      [[f'--{k} {v}' for v in vs.split(":" )] for k, vs in entries.items()]
   lowerCamelCase__						       =      [list(A__ ) for x in itertools.product(*A__ )]
   return matrix, entry_names



def 						UpperCAmelCase__ (					)   ->   Optional[int]:




   """simple docstring"""
   lowerCamelCase__						       =      sys.argv[0]

   lowerCamelCase__						       =      argparse.ArgumentParser(
       usage=(
           "\n\nImportant: this script accepts all arguments `run_eval.py` accepts and then a few extra, therefore"
           " refer to `run_eval.py -h` for the complete list."
       ) )
   parser.add_argument(
       "--search"						,     type=A__						,     required=A__						,     help="param space to search, e.g. \"num_beams=5:10 length_penalty=0.8:1.0:1.2\""						,     )
   parser.add_argument(
       "--bs"						,     type=A__						,     default=8						,     required=A__						,     help="initial batch size (may get reduced if it's too big)" )
   parser.add_argument("--task"						,     type=A__						,     help="used for task_specific_params + metrics" )
   parser.add_argument(
       "--info"						,     nargs="?"						,     type=A__						,     const=datetime_now()						,     help=(
           "add custom notes to be printed before the results table. If no value is passed, the current datetime"
           " string will be used."
       )						,     )
   lowerCamelCase__       ,							lowerCamelCase__						       =      parser.parse_known_args()
   # we share some of the args
   args_main.extend(["--task", args.task] )
   lowerCamelCase__						       =      [prog] + args_main

   # to support variations like translation_en_to_de"
   lowerCamelCase__						       =      "translation" if "translation" in args.task else "summarization"

   lowerCamelCase__       ,							lowerCamelCase__						       =      parse_search_arg(args.search )
   lowerCamelCase__						       =      task_score_names[task]  # score cols first
   lowerCamelCase__						       =      {col: len(str(A__ ) ) for col in col_names}
   lowerCamelCase__						       =      []
   for r in matrix:
      lowerCamelCase__						       =      dict((x.replace("--"						,     "" ).split() for x in r) )
      lowerCamelCase__						       =      " ".join(A__ ).split()
      args_exp.extend(["--bs", str(args.bs )] )  # in case we need to reduce its size due to CUDA OOM
      lowerCamelCase__						       =      args_normal + args_exp

      # XXX: need to trap CUDA OOM and lower args.bs if that happens and retry

      lowerCamelCase__						       =      run_generate(verbose=A__ )
      # make sure scores are first in the table
      lowerCamelCase__						       =      OrderedDict()
      for score in task_score_names[task]:
         lowerCamelCase__						       =      scores[score]
      result.update(A__ )
      results.append(A__ )

      # find widest entries
      for k, v in result.items():
         lowerCamelCase__						       =      len(str(A__ ) )
         if l > col_widths[k]:
            lowerCamelCase__						       =      l

   lowerCamelCase__						       =      sorted(A__						,     key=operator.itemgetter(*task_score_names[task] )						,     reverse=A__ )
   print(" | ".join([f'{col:{col_widths[col]}}' for col in col_names] ) )
   print(" | ".join([f'{"-"*col_widths[col]}' for col in col_names] ) )
   for row in results_sorted:
      print(" | ".join([f'{row[col]:{col_widths[col]}}' for col in col_names] ) )

   lowerCamelCase__						       =      results_sorted[0]
   for score in task_score_names[task]:
      del best[score]
   lowerCamelCase__						       =      [f'--{k} {v}' for k, v in best.items()]
   lowerCamelCase__						       =      ["--bs", str(args.bs )]
   if args.info:
      print(f'\nInfo: {args.info}' )
   print("\nBest score args:" )
   print(" ".join(args_main + best_args + dyn_args ) )

   return results_sorted


if __name__ == "__main__":
     # Usage:
     # [normal-run_eval_search.py cmd plus] \
     # --search="num_beams=1:5:10 length_penalty=0.8:1:1.2 early_stopping=true:false"
     #
     # Example:
     # PYTHONPATH="src:examples/seq2seq" python examples/seq2seq/run_eval_search.py $MODEL_NAME \
     # $DATA_DIR/val.source $SAVE_DIR/test_translations.txt --reference_path $DATA_DIR/val.target \
     # --score_path $SAVE_DIR/test_bleu.json --bs $BS --task translation \
     # --search="num_beams=1:5:10 length_penalty=0.8:1:1.2 early_stopping=true:false"
     run_search()







"""simple docstring"""




import math

import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute



def 						UpperCAmelCase__ (					A__ = 1						,     A__ = 1 )   ->   qiskit.result.counts.Counts:




   """simple docstring"""
   if isinstance(A__						,     A__ ) or isinstance(A__						,     A__ ):
      raise TypeError("inputs must be integers." )
   if (bit_a < 0) or (bit_a < 0):
      raise ValueError("inputs must be positive." )
   if (math.floor(A__ ) != bit_a) or (math.floor(A__ ) != bit_a):
      raise ValueError("inputs must be exact integers." )
   if (bit_a > 1) or (bit_a > 1):
      raise ValueError("inputs must be less or equal to 1." )

   # build registers
   lowerCamelCase__						       =      QuantumRegister(2						,     "qr" )
   lowerCamelCase__						       =      ClassicalRegister(2						,     "cr" )

   lowerCamelCase__						       =      QuantumCircuit(A__						,     A__ )

   # entanglement the qubits
   quantum_circuit.h(1 )
   quantum_circuit.cx(1						,     0 )

   # send the information
   lowerCamelCase__						       =      str(A__ ) + str(A__ )

   if c_information == "11":
      quantum_circuit.x(1 )
      quantum_circuit.z(1 )
   elif c_information == "10":
      quantum_circuit.z(1 )
   elif c_information == "01":
      quantum_circuit.x(1 )
   else:
      quantum_circuit.i(1 )

   # unentangled the circuit
   quantum_circuit.cx(1						,     0 )
   quantum_circuit.h(1 )

   # measure the circuit
   quantum_circuit.measure(A__						,     A__ )

   lowerCamelCase__						       =      Aer.get_backend("aer_simulator" )
   lowerCamelCase__						       =      execute(A__						,     A__						,     shots=1000 )

   return job.result().get_counts(A__ )


if __name__ == "__main__":
     print(F'''Counts for classical state send: {superdense_coding(1,1)}''')




