


import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


__a     =			get_tests_dir("""fixtures/test_sentencepiece.model""")






@require_sentencepiece
class   __lowercase				(  __snake_case ,					unittest.TestCase  ):
      UpperCamelCase								=       XLMProphetNetTokenizer
      UpperCamelCase								=       False
      UpperCamelCase								=       True





      def        _lowercase				(		self						:					Any       )    ->   List[Any]:






         """simple docstring"""







         super().setUp()

         # We have a SentencePiece fixture for testing
         UpperCAmelCase							=     XLMProphetNetTokenizer(__lowerCamelCase					,       keep_accents=__lowerCamelCase       )
         tokenizer.save_pretrained(self.tmpdirname       )





      def        _lowercase				(		self						:					Optional[int]       )    ->   Optional[Any]:






         """simple docstring"""







         UpperCAmelCase							=     """[PAD]"""
         UpperCAmelCase							=     0

         self.assertEqual(self.get_tokenizer()._convert_token_to_id(__lowerCamelCase       )					,       __lowerCamelCase       )
         self.assertEqual(self.get_tokenizer()._convert_id_to_token(__lowerCamelCase       )					,       __lowerCamelCase       )





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






         """simple docstring"""







         UpperCAmelCase							=     list(self.get_tokenizer().get_vocab().keys()       )

         self.assertEqual(vocab_keys[0]					,       """[PAD]"""       )
         self.assertEqual(vocab_keys[1]					,       """[CLS]"""       )
         self.assertEqual(vocab_keys[-1]					,       """j"""       )
         self.assertEqual(len(__lowerCamelCase       )					,       1_0_1_2       )





      def        _lowercase				(		self						:					Union[str, Any]       )    ->   Optional[int]:






         """simple docstring"""







         self.assertEqual(self.get_tokenizer().vocab_size					,       1_0_1_2       )





      def        _lowercase				(		self						:					Any       )    ->   Optional[Any]:






         """simple docstring"""







         UpperCAmelCase							=     XLMProphetNetTokenizer(__lowerCamelCase					,       keep_accents=__lowerCamelCase       )

         UpperCAmelCase							=     tokenizer.tokenize("""This is a test"""       )
         self.assertListEqual(__lowerCamelCase					,       ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]       )

         self.assertListEqual(
             tokenizer.convert_tokens_to_ids(__lowerCamelCase       )					,       [value + tokenizer.fairseq_offset for value in [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]					,       )

         UpperCAmelCase							=     tokenizer.tokenize("""I was born in 92000, and this is falsé."""       )
         self.assertListEqual(
             __lowerCamelCase					,       [
                 SPIECE_UNDERLINE + """I""",
                 SPIECE_UNDERLINE + """was""",
                 SPIECE_UNDERLINE + """b""",
                 """or""",
                 """n""",
                 SPIECE_UNDERLINE + """in""",
                 SPIECE_UNDERLINE + """""",
                 """9""",
                 """2""",
                 """0""",
                 """0""",
                 """0""",
                 """,""",
                 SPIECE_UNDERLINE + """and""",
                 SPIECE_UNDERLINE + """this""",
                 SPIECE_UNDERLINE + """is""",
                 SPIECE_UNDERLINE + """f""",
                 """al""",
                 """s""",
                 """é""",
                 """.""",
             ]					,       )
         UpperCAmelCase							=     tokenizer.convert_tokens_to_ids(__lowerCamelCase       )
         self.assertListEqual(
             __lowerCamelCase					,       [
                 value + tokenizer.fairseq_offset
                 for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, -9, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, -9, 4]
             ]					,       )

         UpperCAmelCase							=     tokenizer.convert_ids_to_tokens(__lowerCamelCase       )
         self.assertListEqual(
             __lowerCamelCase					,       [
                 SPIECE_UNDERLINE + """I""",
                 SPIECE_UNDERLINE + """was""",
                 SPIECE_UNDERLINE + """b""",
                 """or""",
                 """n""",
                 SPIECE_UNDERLINE + """in""",
                 SPIECE_UNDERLINE + """""",
                 """[UNK]""",
                 """2""",
                 """0""",
                 """0""",
                 """0""",
                 """,""",
                 SPIECE_UNDERLINE + """and""",
                 SPIECE_UNDERLINE + """this""",
                 SPIECE_UNDERLINE + """is""",
                 SPIECE_UNDERLINE + """f""",
                 """al""",
                 """s""",
                 """[UNK]""",
                 """.""",
             ]					,       )





      @cached_property
      def        _lowercase				(		self						:					int       )    ->   Any:






         """simple docstring"""







         return XLMProphetNetTokenizer.from_pretrained("""microsoft/xprophetnet-large-wiki100-cased"""       )





      @slow
      def        _lowercase				(		self						:					Optional[Any]       )    ->   Union[str, Any]:






         """simple docstring"""







         UpperCAmelCase							=     """Hello World!"""
         UpperCAmelCase							=     [3_5_3_8_9, 6_6_7_2, 4_9, 2]
         self.assertListEqual(__lowerCamelCase					,       self.big_tokenizer.encode(__lowerCamelCase       )       )





      @slow
      def        _lowercase				(		self						:					List[Any]       )    ->   List[Any]:






         """simple docstring"""







         UpperCAmelCase							=     {"""input_ids""": [[1_1_0_7_3, 8_2_7_8_3, 1_8, 2_6, 8_2_7_8_3, 5_4_9, 5_1_5_4_0, 2_4_8, 1_7_2_0_9, 1_3_0_1, 2_1_7, 2_0, 2_1_5_1_8_6, 1_3_2_5, 1_4_7, 1_7_2_0_9, 1_3_0_1, 2_1_7, 2_0, 5_6_3_7_0, 5_3, 1_2_2_0_2_0, 2_0, 1_6_4_7_7, 2_7, 8_7_3_5_5, 4_5_4_8, 2_0, 4_7_2_8, 7_8_3_9_2, 1_7, 1_5_9_9_6_9, 1_8, 2_6, 2_4_4_9_1, 6_2_9, 1_5, 5_3_8, 2_2_7_0_4, 5_4_3_9, 1_5, 2_7_8_8, 2_4_4_9_1, 9_8_8_5, 1_5, 4_3_5_3_4, 6_0_5, 1_5, 8_1_4, 1_8_4_0_3, 3_3_2_0_0, 2_9, 1_5, 4_3_5_3_4, 2_4_4_5_8, 1_2_4_1_0, 1_1_1, 2_4_9_6_6, 8_3_6_6_9, 9_6_3_7, 1_4_4_0_6_8, 2_6, 8_5_0, 2_2_3_4_6, 2_7, 1_4_7, 2_4_9_6_6, 8_3_6_6_9, 8_3_4_9_0, 2_6, 3_9_1_1_3, 7_3_5, 2_7, 6_8_9, 6_5_6, 2_8_0_0, 1_3_3_9, 4_6_0_0, 5_3, 1_2_2_0_2_0, 1_1_5_7_8_5, 3_4, 8_1_6, 1_3_3_9, 4_6_8_8_7, 1_8, 1_4_7, 5_3_9_0_5, 1_9_5_1, 4_2_2_3_8, 4_1_1_7_0, 1_7_7_3_2, 8_3_4, 4_3_6, 1_5, 2_7_5_2_3, 9_8_7_3_3, 2_1_7, 1_4_7, 5_5_4_2, 4_9_8_1, 9_3_0, 1_7_3_4_7, 1_6, 2], [2_0_0_9_1, 6_2_9, 9_4, 8_2_7_8_6, 5_8, 4_9_0, 2_0, 1_5_2_8, 8_4, 5_3_9_0_5, 3_4_4, 8_0_5_9_2, 1_1_0_1_2_8, 1_8_8_2_2, 5_2_6_7, 1_3_0_6, 6_2, 1_5_2_5_3_7, 3_0_8, 7_9_9_7, 4_0_1, 1_2_4_4_2_7, 5_4_9, 3_5_4_4_2, 2_2_5, 1_0_9, 1_5_0_5_5, 2_5_7_4_8, 1_4_7, 7_1_1_9, 4_3_7_1_2, 3_4, 7_6_7, 1_3_5_3_6_6, 1_8, 1_6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_9_2, 6_3_7_8_4, 1_1_9_4_6_6, 1_7, 1_4_7_8_0_8, 8_8_2_1_4, 1_8, 6_5_6, 8_1, 3_2, 3_2_9_6, 1_0_2_8_0, 1_6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
         # fmt: on

         self.tokenizer_integration_test_util(
             expected_encoding=__lowerCamelCase					,       model_name="""microsoft/xprophetnet-large-wiki100-cased"""					,       revision="""1acad1643ddd54a44df6a1b797ada8373685d90e"""					,       )







import math

import qiskit
def   _UpperCamelCase				(						lowerCAmelCase_ = 1  ,						lowerCAmelCase_ = 1  ,						lowerCAmelCase_ = 1   )						->qiskit.result.counts.Counts:
   if (
       isinstance(lowerCAmelCase_  ,						lowerCAmelCase_   )
       or isinstance(lowerCAmelCase_  ,						lowerCAmelCase_   )
       or isinstance(lowerCAmelCase_  ,						lowerCAmelCase_   )
   ):
      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(lowerCAmelCase_   ) != input_a)
       or (math.floor(lowerCAmelCase_   ) != input_a)
       or (math.floor(lowerCAmelCase_   ) != 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
   UpperCAmelCase							=     qiskit.QuantumRegister(4  ,						"""qr"""   )
   UpperCAmelCase							=     qiskit.ClassicalRegister(2  ,						"""cr"""   )
   # list the entries
   UpperCAmelCase							=     [input_a, input_a, carry_in]

   UpperCAmelCase							=     qiskit.QuantumCircuit(lowerCAmelCase_  ,						lowerCAmelCase_   )

   for i in range(0  ,						3   ):
      if entry[i] == 2:
         quantum_circuit.h(lowerCAmelCase_   )  # for hadamard entries
      elif entry[i] == 1:
         quantum_circuit.x(lowerCAmelCase_   )  # for 1 entries
      elif entry[i] == 0:
         quantum_circuit.i(lowerCAmelCase_   )  # 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]  ,						lowerCAmelCase_   )  # measure the last two qbits

   UpperCAmelCase							=     qiskit.Aer.get_backend("""aer_simulator"""   )
   UpperCAmelCase							=     qiskit.execute(lowerCAmelCase_  ,						lowerCAmelCase_  ,						shots=1_0_0_0   )

   return job.result().get_counts(lowerCAmelCase_   )


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



