


import json
import os
import shutil
import warnings
from argparse import ArgumentParser, Namespace
from pathlib import Path
from typing import List

from ..utils import logging
from . import BaseTransformersCLICommand


try:
   from cookiecutter.main import cookiecutter

   SCREAMING_SNAKE_CASE							:		str       =					True
except ImportError:
   SCREAMING_SNAKE_CASE							:		Optional[Any]       =					False

SCREAMING_SNAKE_CASE							:		str       =					logging.get_logger(__name__)  # pylint: disable=invalid-name




def      UpperCamelCase     (   _a		)       ->				Any:
     '''simple docstring'''





     return AddNewModelCommand(args.testing							,		args.testing_file							,		path=args.path		)






class   UpperCamelCase       (		lowercase__  ):


   '''simple docstring'''







   @staticmethod
   def 		UpperCamelCase	(  UpperCamelCase_		):
        lowercase_							:int			     =							parser.add_parser('''add-new-model'''		)
        add_new_model_parser.add_argument('''--testing''' ,				action='''store_true''' ,				help='''If in testing mode.'''		)
        add_new_model_parser.add_argument('''--testing_file''' ,				type=__UpperCAmelCase ,				help='''Configuration file on which to run.'''		)
        add_new_model_parser.add_argument(
            '''--path''' ,				type=__UpperCAmelCase ,				help='''Path to cookiecutter. Should only be used for testing purposes.'''		)
        add_new_model_parser.set_defaults(func=__UpperCAmelCase		)
   def __init__(  self ,				UpperCamelCase_ ,				UpperCamelCase_ ,				UpperCamelCase_=None ,				*UpperCamelCase_		):
        lowercase_							:Tuple			     =							testing
        lowercase_							:Optional[int]			     =							testing_file
        lowercase_							:Any			     =							path




   def 		UpperCamelCase	(  self		):
        warnings.warn(
            '''The command `transformers-cli add-new-model` is deprecated and will be removed in v5 of Transformers. '''
            '''It is not actively maintained anymore, so might give a result that won\'t pass all tests and quality '''
            '''checks, you should use `transformers-cli add-new-model-like` instead.'''		)
        if not _has_cookiecutter:
             raise ImportError(
                 '''Model creation dependencies are required to use the `add_new_model` command. Install them by running '''
                 '''the following at the root of your `transformers` clone:\n\n\t$ pip install -e .[modelcreation]\n'''		)
        # Ensure that there is no other `cookiecutter-template-xxx` directory in the current working directory
        lowercase_							:int			     =							[directory for directory in os.listdir() if "cookiecutter-template-" == directory[:22]]
        if len(__UpperCAmelCase		) > 0:
             raise ValueError(
                 '''Several directories starting with `cookiecutter-template-` in current working directory. '''
                 '''Please clean your directory by removing all folders starting with `cookiecutter-template-` or '''
                 '''change your working directory.'''		)

        lowercase_							:Optional[int]			     =							(
            Path(__UpperCAmelCase		).parent.parent.parent.parent if self._path is None else Path(self._path		).parent.parent
        )
        lowercase_							:List[str]			     =							path_to_transformer_root / "templates" / "adding_a_new_model"

        # Execute cookiecutter
        if not self._testing:
             cookiecutter(str(__UpperCAmelCase		)		)
        else:
             with open(self._testing_file ,				'''r'''		) as configuration_file:
                  lowercase_							:Tuple			     =							json.load(__UpperCAmelCase		)

             cookiecutter(
                 str(path_to_cookiecutter if self._path is None else self._path		) ,				no_input=__UpperCAmelCase ,				extra_context=__UpperCAmelCase ,				)

        lowercase_							:Optional[Any]			     =							[directory for directory in os.listdir() if "cookiecutter-template-" in directory[:22]][0]

        # Retrieve configuration
        with open(directory + '''/configuration.json''' ,				'''r'''		) as configuration_file:
             lowercase_							:Optional[int]			     =							json.load(__UpperCAmelCase		)

        lowercase_							:Optional[int]			     =							configuration["lowercase_modelname"]
        lowercase_							:Optional[Any]			     =							configuration["generate_tensorflow_pytorch_and_flax"]
        os.remove(f"{directory}/configuration.json"		)

        lowercase_							:Dict			     =							"PyTorch" in generate_tensorflow_pytorch_and_flax
        lowercase_							:List[str]			     =							"TensorFlow" in generate_tensorflow_pytorch_and_flax
        lowercase_							:int			     =							"Flax" in generate_tensorflow_pytorch_and_flax

        lowercase_							:Tuple			     =							f"{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}"
        os.makedirs(__UpperCAmelCase ,				exist_ok=__UpperCAmelCase		)
        os.makedirs(f"{path_to_transformer_root}/tests/models/{lowercase_model_name}" ,				exist_ok=__UpperCAmelCase		)

        # Tests require submodules as they have parent imports
        with open(f"{path_to_transformer_root}/tests/models/{lowercase_model_name}/__init__.py" ,				'''w'''		):
             pass

        shutil.move(
            f"{directory}/__init__.py" ,				f"{model_dir}/__init__.py" ,				)
        shutil.move(
            f"{directory}/configuration_{lowercase_model_name}.py" ,				f"{model_dir}/configuration_{lowercase_model_name}.py" ,				)

        def remove_copy_lines(UpperCamelCase_		):
             with open(__UpperCAmelCase ,				'''r'''		) as f:
                  lowercase_							:Optional[Any]			     =							f.readlines()
             with open(__UpperCAmelCase ,				'''w'''		) as f:
                  for line in lines:
                       if "# Copied from transformers." not in line:
                            f.write(__UpperCAmelCase		)

        if output_pytorch:
             if not self._testing:
                  remove_copy_lines(f"{directory}/modeling_{lowercase_model_name}.py"		)

             shutil.move(
                 f"{directory}/modeling_{lowercase_model_name}.py" ,				f"{model_dir}/modeling_{lowercase_model_name}.py" ,				)

             shutil.move(
                 f"{directory}/test_modeling_{lowercase_model_name}.py" ,				f"{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_{lowercase_model_name}.py" ,				)
        else:
             os.remove(f"{directory}/modeling_{lowercase_model_name}.py"		)
             os.remove(f"{directory}/test_modeling_{lowercase_model_name}.py"		)

        if output_tensorflow:
             if not self._testing:
                  remove_copy_lines(f"{directory}/modeling_tf_{lowercase_model_name}.py"		)

             shutil.move(
                 f"{directory}/modeling_tf_{lowercase_model_name}.py" ,				f"{model_dir}/modeling_tf_{lowercase_model_name}.py" ,				)

             shutil.move(
                 f"{directory}/test_modeling_tf_{lowercase_model_name}.py" ,				f"{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_tf_{lowercase_model_name}.py" ,				)
        else:
             os.remove(f"{directory}/modeling_tf_{lowercase_model_name}.py"		)
             os.remove(f"{directory}/test_modeling_tf_{lowercase_model_name}.py"		)

        if output_flax:
             if not self._testing:
                  remove_copy_lines(f"{directory}/modeling_flax_{lowercase_model_name}.py"		)

             shutil.move(
                 f"{directory}/modeling_flax_{lowercase_model_name}.py" ,				f"{model_dir}/modeling_flax_{lowercase_model_name}.py" ,				)

             shutil.move(
                 f"{directory}/test_modeling_flax_{lowercase_model_name}.py" ,				f"{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_flax_{lowercase_model_name}.py" ,				)
        else:
             os.remove(f"{directory}/modeling_flax_{lowercase_model_name}.py"		)
             os.remove(f"{directory}/test_modeling_flax_{lowercase_model_name}.py"		)

        shutil.move(
            f"{directory}/{lowercase_model_name}.md" ,				f"{path_to_transformer_root}/docs/source/en/model_doc/{lowercase_model_name}.md" ,				)

        shutil.move(
            f"{directory}/tokenization_{lowercase_model_name}.py" ,				f"{model_dir}/tokenization_{lowercase_model_name}.py" ,				)

        shutil.move(
            f"{directory}/tokenization_fast_{lowercase_model_name}.py" ,				f"{model_dir}/tokenization_{lowercase_model_name}_fast.py" ,				)

        from os import fdopen, remove
        from shutil import copymode, move
        from tempfile import mkstemp

        def replace(UpperCamelCase_ ,				UpperCamelCase_ ,				UpperCamelCase_		):
             # Create temp file
             lowercase_							:List[Any]			     =							mkstemp()
             lowercase_							:Tuple			     =							False
             with fdopen(__UpperCAmelCase ,				'''w'''		) as new_file:
                  with open(__UpperCAmelCase		) as old_file:
                       for line in old_file:
                            new_file.write(__UpperCAmelCase		)
                            if line_to_copy_below in line:
                                 lowercase_							:Dict			     =							True
                                 for line_to_copy in lines_to_copy:
                                      new_file.write(__UpperCAmelCase		)

             if not line_found:
                  raise ValueError(f"Line {line_to_copy_below} was not found in file."		)

             # Copy the file permissions from the old file to the new file
             copymode(__UpperCAmelCase ,				__UpperCAmelCase		)
             # Remove original file
             remove(__UpperCAmelCase		)
             # Move new file
             move(__UpperCAmelCase ,				__UpperCAmelCase		)

        def skip_units(UpperCamelCase_		):
             return (
                 ("generating PyTorch" in line and not output_pytorch)
                 or ("generating TensorFlow" in line and not output_tensorflow)
                 or ("generating Flax" in line and not output_flax)
             )

        def replace_in_files(UpperCamelCase_		):
             with open(__UpperCAmelCase		) as datafile:
                  lowercase_							:Optional[int]			     =							[]
                  lowercase_							:Union[str, Any]			     =							False
                  lowercase_							:Dict			     =							False
                  for line in datafile:
                       if "# To replace in: " in line and "##" not in line:
                            lowercase_							:Optional[int]			     =							line.split('''\"'''		)[1]
                            lowercase_							:Union[str, Any]			     =							skip_units(__UpperCAmelCase		)
                       elif "# Below: " in line and "##" not in line:
                            lowercase_							:str			     =							line.split('''\"'''		)[1]
                            lowercase_							:Optional[Any]			     =							skip_units(__UpperCAmelCase		)
                       elif "# End." in line and "##" not in line:
                            if not skip_file and not skip_snippet:
                                 replace(__UpperCAmelCase ,				__UpperCAmelCase ,				__UpperCAmelCase		)

                            lowercase_							:Dict			     =							[]
                       elif "# Replace with" in line and "##" not in line:
                            lowercase_							:Tuple			     =							[]
                       elif "##" not in line:
                            lines_to_copy.append(__UpperCAmelCase		)

             remove(__UpperCAmelCase		)

        replace_in_files(f"{directory}/to_replace_{lowercase_model_name}.py"		)
        os.rmdir(__UpperCAmelCase		)






import qiskit






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase = 2 )	->						qiskit.result.counts.Counts:
				a__	:							Any      						= qubits

				# Using Aer's simulator
				a__	:							Dict      						= qiskit.Aer.get_backend("aer_simulator" )

				# Creating a Quantum Circuit acting on the q register
				a__	:							Dict      						= qiskit.QuantumCircuit(__UpperCamelCase	,				__UpperCamelCase )

				# Adding a H gate on qubit 0 (now q0 in superposition)
				circuit.h(0 )

				for i in range(1	,				__UpperCamelCase ):
								# Adding CX (CNOT) gate
								circuit.cx(i - 1	,				__UpperCamelCase )

				# Mapping the quantum measurement to the classical bits
				circuit.measure(list(range(__UpperCamelCase ) )	,				list(range(__UpperCamelCase ) ) )

				# Now measuring any one qubit would affect other qubits to collapse
				# their super position and have same state as the measured one.

				# Executing the circuit on the simulator
				a__	:							Any      						= qiskit.execute(__UpperCamelCase	,				__UpperCamelCase	,				shots=10_00 )

				return job.result().get_counts(__UpperCamelCase )


if __name__ == "__main__":
						print(F'Total count for various states are: {quantum_entanglement(3)}')


