
"""simple docstring"""




# flake8: noqa
# Lint as: python3

from typing import Dict, List, Optional, Type

from .. import config
from ..utils import logging
from .formatting import (
    ArrowFormatter,
    CustomFormatter,
    Formatter,
    PandasFormatter,
    PythonFormatter,
    TensorFormatter,
    format_table,
    query_table,
)
from .np_formatter import NumpyFormatter


A__   :					List[Any]							=   logging.get_logger(__name__)

A__   :					Dict[Optional[str], Type[Formatter]]							=   {}
A__   :					Dict[Optional[str], str]							=   {}
A__   :					Dict[Optional[str], Exception]							=   {}




def  _lowerCAmelCase		(		_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase = None ,				):






  """simple docstring"""



  _lowercase:			Any       =     aliases if aliases is not None else []
  if format_type in _FORMAT_TYPES:
    logger.warning(
        f'''Overwriting format type \'{format_type}\' ({_FORMAT_TYPES[format_type].__name__} -> {formatter_cls.__name__})'''						)
  _lowercase:			List[str]       =     formatter_cls
  for alias in set(aliases + [format_type]						):
    if alias in _FORMAT_TYPES_ALIASES:
      logger.warning(
          f'''Overwriting format type alias \'{alias}\' ({_FORMAT_TYPES_ALIASES[alias]} -> {format_type})'''						)
    _lowercase:			Tuple       =     format_type




def  _lowerCAmelCase		(		_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase = None						):






  """simple docstring"""



  _lowercase:			List[Any]       =     aliases if aliases is not None else []
  for alias in set(aliases + [format_type]						):
    _lowercase:			List[Any]       =     unavailable_error


# Here we define all the available formatting functions that can be used by `Dataset.set_format`
_register_formatter(PythonFormatter, None, aliases=['python'])
_register_formatter(ArrowFormatter, 'arrow', aliases=['pa', 'pyarrow'])
_register_formatter(NumpyFormatter, 'numpy', aliases=['np'])
_register_formatter(PandasFormatter, 'pandas', aliases=['pd'])
_register_formatter(CustomFormatter, 'custom')

if config.TORCH_AVAILABLE:
  from .torch_formatter import TorchFormatter

  _register_formatter(TorchFormatter, 'torch', aliases=['pt', 'pytorch'])
else:
  A__   :					Any							=   ValueError('PyTorch needs to be installed to be able to return PyTorch tensors.')
  _register_unavailable_formatter(_torch_error, 'torch', aliases=['pt', 'pytorch'])

if config.TF_AVAILABLE:
  from .tf_formatter import TFFormatter

  _register_formatter(TFFormatter, 'tensorflow', aliases=['tf'])
else:
  A__   :					Union[str, Any]							=   ValueError('Tensorflow needs to be installed to be able to return Tensorflow tensors.')
  _register_unavailable_formatter(_tf_error, 'tensorflow', aliases=['tf'])

if config.JAX_AVAILABLE:
  from .jax_formatter import JaxFormatter

  _register_formatter(JaxFormatter, 'jax', aliases=[])
else:
  A__   :					Any							=   ValueError('JAX needs to be installed to be able to return JAX arrays.')
  _register_unavailable_formatter(_jax_error, 'jax', aliases=[])




def  _lowerCAmelCase		(		_UpperCamelCase						):






  """simple docstring"""



  if format_type in _FORMAT_TYPES_ALIASES:
    return _FORMAT_TYPES_ALIASES[format_type]
  else:
    return format_type







def  _lowerCAmelCase		(		_UpperCamelCase ,				**_UpperCamelCase						):






  """simple docstring"""



  _lowercase:			List[str]       =     get_format_type_from_alias(_UpperCamelCase						)
  if format_type in _FORMAT_TYPES:
    return _FORMAT_TYPES[format_type](**_UpperCamelCase						)
  if format_type in _FORMAT_TYPES_ALIASES_UNAVAILABLE:
    raise _FORMAT_TYPES_ALIASES_UNAVAILABLE[format_type]
  else:
    raise ValueError(
        f'''Return type should be None or selected in {list(type for type in _FORMAT_TYPES.keys() if type != None						)}, but got \'{format_type}\''''						)


"""simple docstring"""




import qiskit




def  _lowerCAmelCase		(		_UpperCamelCase ,				_UpperCamelCase						):






  """simple docstring"""



  _lowercase:			Dict       =     qiskit.Aer.get_backend('''aer_simulator'''						)

  # Create a Quantum Circuit acting on the q register
  _lowercase:			str       =     qiskit.QuantumCircuit(_UpperCamelCase ,				_UpperCamelCase						)

  # Apply X (NOT) Gate to Qubits 0 & 1
  circuit.x(0						)
  circuit.x(1						)

  # Map the quantum measurement to the classical bits
  circuit.measure([0, 1] ,				[0, 1]						)

  # Execute the circuit on the qasm simulator
  _lowercase:			Tuple       =     qiskit.execute(_UpperCamelCase ,				_UpperCamelCase ,				shots=1_000						)

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


if __name__ == "__main__":
  A__   :					Optional[int]							=   single_qubit_measure(2, 2)
  print(f"""Total count for various states are: {counts}""")
