

import importlib
import json
import os
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
import transformers.models.auto
from transformers.models.auto.configuration_auto import CONFIG_MAPPING, AutoConfig
from transformers.models.bert.configuration_bert import BertConfig
from transformers.models.roberta.configuration_roberta import RobertaConfig
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, get_tests_dir


sys.path.append(str(Path(__file__).parent.parent.parent.parent / 'utils'))

from test_module.custom_configuration import CustomConfig  # noqa E402


a_      =     get_tests_dir('fixtures/dummy-config.json')






class _UpperCamelCase				(				unittest.TestCase ):
			'''simple docstring'''







			def 				__UpperCamelCase			(      self				:			List[str]						)				->							Union[str, Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE :   Dict					  =							0
			def 				__UpperCamelCase			(      self				:			List[str]						)				->							Optional[Any]:

				"""simple docstring"""

				self.assertIsNotNone(transformers.models.auto.__spec__						)
				self.assertIsNotNone(importlib.util.find_spec("transformers.models.auto"						)						)
			def 				__UpperCamelCase			(      self				:			str						)				->							Dict:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE :   List[str]					  =							AutoConfig.from_pretrained("bert-base-uncased"						)
				self.assertIsInstance(a   ,   a						)
			def 				__UpperCamelCase			(      self				:			Dict						)				->							Union[str, Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE :   Dict					  =							AutoConfig.from_pretrained(a						)
				self.assertIsInstance(a   ,   a						)
			def 				__UpperCamelCase			(      self				:			List[Any]						)				->							Optional[int]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE :   List[Any]					  =							AutoConfig.from_pretrained(a						)
				self.assertIsInstance(a   ,   a						)
			def 				__UpperCamelCase			(      self				:			str						)				->							Dict:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE :   int					  =							AutoConfig.for_model("roberta"						)
				self.assertIsInstance(a   ,   a						)
			def 				__UpperCamelCase			(      self				:			str						)				->							Optional[int]:

				"""simple docstring"""

				with tempfile.TemporaryDirectory() as tmp_dir:
					# This model name contains bert and roberta, but roberta ends up being picked.
					SCREAMING_SNAKE_CASE :   List[str]					  =							os.path.join(a   ,   "fake-roberta"						)
					os.makedirs(a   ,   exist_ok=a						)
					with open(os.path.join(a   ,   "config.json"						)   ,   "w"						) as f:
						f.write(json.dumps({}						)						)
					SCREAMING_SNAKE_CASE :   List[Any]					  =							AutoConfig.from_pretrained(a						)
					self.assertEqual(type(a						)   ,   a						)
			def 				__UpperCamelCase			(      self				:			int						)				->							Tuple:

				"""simple docstring"""

				try:
					AutoConfig.register("custom"   ,   a						)
					# Wrong model type will raise an error
					with self.assertRaises(a						):
						AutoConfig.register("model"   ,   a						)
					# Trying to register something existing in the Transformers library will raise an error
					with self.assertRaises(a						):
						AutoConfig.register("bert"   ,   a						)

					# Now that the config is registered, it can be used as any other config with the auto-API
					SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							CustomConfig()
					with tempfile.TemporaryDirectory() as tmp_dir:
						config.save_pretrained(a						)
						SCREAMING_SNAKE_CASE :   str					  =							AutoConfig.from_pretrained(a						)
						self.assertIsInstance(a   ,   a						)

				finally:
					if "custom" in CONFIG_MAPPING._extra_content:
						del CONFIG_MAPPING._extra_content["custom"]
			def 				__UpperCamelCase			(      self				:			List[str]						)				->							int:

				"""simple docstring"""

				with self.assertRaisesRegex(
				    a   ,   "bert-base is not a local folder and is not a valid model identifier"						):
					SCREAMING_SNAKE_CASE :   Any					  =							AutoConfig.from_pretrained("bert-base"						)
			def 				__UpperCamelCase			(      self				:			int						)				->							Any:

				"""simple docstring"""

				with self.assertRaisesRegex(
				    a   ,   R"aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"						):
					SCREAMING_SNAKE_CASE :   str					  =							AutoConfig.from_pretrained(a   ,   revision="aaaaaa"						)
			def 				__UpperCamelCase			(      self				:			int						)				->							Union[str, Any]:

				"""simple docstring"""

				with self.assertRaisesRegex(
				    a   ,   "hf-internal-testing/no-config-test-repo does not appear to have a file named config.json."   ,   ):
					SCREAMING_SNAKE_CASE :   Optional[int]					  =							AutoConfig.from_pretrained("hf-internal-testing/no-config-test-repo"						)
			def 				__UpperCamelCase			(      self				:			str						)				->							int:

				"""simple docstring"""

				with self.assertRaises(a						):
					SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"						)
				# If remote code is disabled, we can't load this config.
				with self.assertRaises(a						):
					SCREAMING_SNAKE_CASE :   List[Any]					  =							AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"   ,   trust_remote_code=a						)

				SCREAMING_SNAKE_CASE :   Optional[Any]					  =							AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"   ,   trust_remote_code=a						)
				self.assertEqual(config.__class__.__name__   ,   "NewModelConfig"						)

				# Test config can be reloaded.
				with tempfile.TemporaryDirectory() as tmp_dir:
					config.save_pretrained(a						)
					SCREAMING_SNAKE_CASE :   str					  =							AutoConfig.from_pretrained(a   ,   trust_remote_code=a						)
				self.assertEqual(reloaded_config.__class__.__name__   ,   "NewModelConfig"						)






			def 				__UpperCamelCase			(      self				:			Optional[Any]						)				->							List[Any]:

				"""simple docstring"""

				class _UpperCamelCase				(				__A ):
							'''simple docstring'''







							lowerCamelCase__							     ='new-model'

				try:
					AutoConfig.register("new-model"   ,   a						)
					# If remote code is not set, the default is to use local
					SCREAMING_SNAKE_CASE :   str					  =							AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"						)
					self.assertEqual(config.__class__.__name__   ,   "NewModelConfigLocal"						)

					# If remote code is disabled, we load the local one.
					SCREAMING_SNAKE_CASE :   str					  =							AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"   ,   trust_remote_code=a						)
					self.assertEqual(config.__class__.__name__   ,   "NewModelConfigLocal"						)

					# If remote is enabled, we load from the Hub
					SCREAMING_SNAKE_CASE :   Optional[Any]					  =							AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"   ,   trust_remote_code=a						)
					self.assertEqual(config.__class__.__name__   ,   "NewModelConfig"						)

				finally:
					if "new-model" in CONFIG_MAPPING._extra_content:
						del CONFIG_MAPPING._extra_content["new-model"]



'''simple docstring'''
import math

import qiskit

def 					lowerCamelCase_ ( __UpperCamelCase					:       int = 1							,    __UpperCamelCase					:       int = 1							,    __UpperCamelCase					:       int = 1		)					->	qiskit.result.counts.Counts:







     """simple docstring"""
     if (
         isinstance(__UpperCamelCase							,    __UpperCamelCase		)
         or isinstance(__UpperCamelCase							,    __UpperCamelCase		)
         or isinstance(__UpperCamelCase							,    __UpperCamelCase		)
     ):
          raise TypeError('inputs must be integers.'		)

     if (input_a < 0) or (input_a < 0) or (carry_in < 0):
          raise ValueError('inputs must be positive.'		)

     if (
         (math.floor(__UpperCamelCase		) != input_a)
         or (math.floor(__UpperCamelCase		) != input_a)
         or (math.floor(__UpperCamelCase		) != carry_in)
     ):
          raise ValueError('inputs must be exact integers.'		)

     if (input_a > 2) or (input_a > 2) or (carry_in > 2):
          raise ValueError('inputs must be less or equal to 2.'		)

     # build registers
     _A				=							qiskit.QuantumRegister(4							,    'qr'		)
     _A				=							qiskit.ClassicalRegister(2							,    'cr'		)
     # list the entries
     _A				=							[input_a, input_a, carry_in]

     _A				=							qiskit.QuantumCircuit(__UpperCamelCase							,    __UpperCamelCase		)

     for i in range(0							,    3		):
          if entry[i] == 2:
               quantum_circuit.h(__UpperCamelCase		)  # for hadamard entries
          elif entry[i] == 1:
               quantum_circuit.x(__UpperCamelCase		)  # for 1 entries
          elif entry[i] == 0:
               quantum_circuit.i(__UpperCamelCase		)  # for 0 entries

    # build the circuit
     quantum_circuit.ccx(0							,    1							,    3		)  # ccx = toffoli gate
     quantum_circuit.cx(0							,    1		)
     quantum_circuit.ccx(1							,    2							,    3		)
     quantum_circuit.cx(1							,    2		)
     quantum_circuit.cx(0							,    1		)

     quantum_circuit.measure([2, 3]							,    __UpperCamelCase		)  # measure the last two qbits

     _A				=							qiskit.Aer.get_backend('aer_simulator'		)
     _A				=							qiskit.execute(__UpperCamelCase							,    __UpperCamelCase							,    shots=1_0_0_0		)

     return job.result().get_counts(__UpperCamelCase		)


if __name__ == "__main__":
    print(F'Total sum count for state is: {quantum_full_adder(1, 1, 1)}')





