


"""simple docstring"""







import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


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






@require_sentencepiece
@require_tokenizers
class 						_A  (  _a   ,unittest.TestCase  ):







    """simple docstring"""




    UpperCAmelCase	:							Optional[int]     =	XGLMTokenizer
    UpperCAmelCase	:							List[Any]     =	XGLMTokenizerFast
    UpperCAmelCase	:							Union[str, Any]     =	True
    UpperCAmelCase	:							List[str]     =	True






    def      __snake_case							( self    :   Dict):
      super().setUp()

      # We have a SentencePiece fixture for testing
      a						:		Union[str, Any]											=      XGLMTokenizer(__UpperCAmelCase    ,			keep_accents=__UpperCAmelCase)
      tokenizer.save_pretrained(self.tmpdirname)






    def      __snake_case							( self    :   str):
      a						:		List[Any]											=      "<pad>"
      a						:		Optional[int]											=      1

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






    def      __snake_case							( self    :   Any):
      a						:		Union[str, Any]											=      list(self.get_tokenizer().get_vocab().keys())

      self.assertEqual(vocab_keys[0]    ,			"<s>")
      self.assertEqual(vocab_keys[1]    ,			"<pad>")
      self.assertEqual(len(__UpperCAmelCase)    ,			1008)






    def      __snake_case							( self    :   Union[str, Any]):
      self.assertEqual(self.get_tokenizer().vocab_size    ,			1008)






    def      __snake_case							( self    :   int):
      a						:		List[Any]											=      XGLMTokenizer(__UpperCAmelCase    ,			keep_accents=__UpperCAmelCase)

      a						:		Dict											=      tokenizer.tokenize("This is a test")
      self.assertListEqual(__UpperCAmelCase    ,			["▁This", "▁is", "▁a", "▁t", "est"])

      self.assertListEqual(
          tokenizer.convert_tokens_to_ids(__UpperCAmelCase)    ,			[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]    ,			)

      a						:		Optional[Any]											=      tokenizer.tokenize("I was born in 92000, and this is falsé.")
      self.assertListEqual(
          __UpperCAmelCase    ,			[
              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",
              ".",
          ]    ,			)
      a						:		Dict											=      tokenizer.convert_tokens_to_ids(__UpperCAmelCase)
      self.assertListEqual(
          __UpperCAmelCase    ,			[
              value + tokenizer.fairseq_offset
              for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
          ]    ,			)

      a						:		Optional[Any]											=      tokenizer.convert_ids_to_tokens(__UpperCAmelCase)
      self.assertListEqual(
          __UpperCAmelCase    ,			[
              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      __snake_case							( self    :   int):
      return XGLMTokenizer.from_pretrained("facebook/xglm-564M")






    def      __snake_case							( self    :   Any):
      with tempfile.NamedTemporaryFile() as f:
        shutil.copyfile(__UpperCAmelCase    ,			f.name)
        a						:		Optional[Any]											=      XGLMTokenizer(f.name    ,			keep_accents=__UpperCAmelCase)
        a						:		Tuple											=      pickle.dumps(__UpperCAmelCase)
      pickle.loads(__UpperCAmelCase)






    def      __snake_case							( self    :   Optional[int]):
      if not self.test_rust_tokenizer:
        return

      a						:		Any											=      self.get_tokenizer()
      a						:		Tuple											=      self.get_rust_tokenizer()

      a						:		Tuple											=      "I was born in 92000, and this is falsé."

      a						:		Union[str, Any]											=      tokenizer.tokenize(__UpperCAmelCase)
      a						:		str											=      rust_tokenizer.tokenize(__UpperCAmelCase)
      self.assertListEqual(__UpperCAmelCase    ,			__UpperCAmelCase)

      a						:		List[str]											=      tokenizer.encode(__UpperCAmelCase    ,			add_special_tokens=__UpperCAmelCase)
      a						:		Union[str, Any]											=      rust_tokenizer.encode(__UpperCAmelCase    ,			add_special_tokens=__UpperCAmelCase)
      self.assertListEqual(__UpperCAmelCase    ,			__UpperCAmelCase)

      a						:		str											=      self.get_rust_tokenizer()
      a						:		int											=      tokenizer.encode(__UpperCAmelCase)
      a						:		Any											=      rust_tokenizer.encode(__UpperCAmelCase)
      self.assertListEqual(__UpperCAmelCase    ,			__UpperCAmelCase)






    @slow
    def      __snake_case							( self    :   Optional[int]):
      a						:		str											=      "Hello World!"
      a						:		Dict											=      [2, 31227, 4447, 35]

      self.assertListEqual(__UpperCAmelCase    ,			self.big_tokenizer.encode(__UpperCAmelCase))






    @slow
    def      __snake_case							( self    :   Any):
      a						:		List[Any]											=      (
          "This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"
          " add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth"
      )
      # fmt: off
      a						:		Dict											=      [2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 71630, 28085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 13675, 377, 652, 7580, 10341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 202277, 17892, 33, 60, 87, 4, 3234, 157, 61, 2667, 52376, 19, 88, 23, 735]
      # fmt: on

      self.assertListEqual(__UpperCAmelCase    ,			self.big_tokenizer.encode(__UpperCAmelCase))






    @slow
    def      __snake_case							( self    :   Optional[Any]):
      # fmt: off
      a						:		Optional[Any]											=      {
          "input_ids": [[2, 108825, 1163, 15, 88010, 473, 15898, 157, 13672, 1857, 312, 8, 238021, 1163, 53, 13672, 1857, 312, 8, 53283, 182396, 8, 18566, 16, 36733, 4101, 8, 230, 244017, 122553, 7, 15, 132597, 4, 293, 12511, 7610, 4, 3414, 132597, 9, 4, 32361, 362, 4, 734, 28512, 32569, 18, 4, 32361, 26096, 14982, 73, 18715, 21433, 235261, 15, 492, 12427, 16, 53, 18715, 21433, 65454, 15, 23659, 563, 16, 278, 597, 2843, 595, 7931, 182396, 64186, 22, 886, 595, 132981, 53, 25540, 3449, 43982, 39901, 5951, 878, 330, 4, 27694, 80269, 312, 53, 6517, 11780, 611, 20408, 5], [2, 6, 132597, 67, 42897, 33, 592, 8, 163729, 25540, 361, 136997, 109514, 173230, 7, 501, 60, 102913, 196, 5631, 235, 63243, 473, 6, 231757, 74, 5277, 7905, 53, 3095, 37317, 22, 454, 183874, 5], [2, 268, 31298, 46530, 6, 132935, 43831, 7, 597, 32, 24, 3688, 9865, 5]],
          "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, 1, 1, 1, 1, 1]]
      }  # noqa: E501
      # fmt: on

      self.tokenizer_integration_test_util(
          expected_encoding=__UpperCAmelCase    ,			model_name="facebook/xglm-564M"    ,			padding=__UpperCAmelCase    ,			)










"""simple docstring"""







import sys
import turtle


def 					lowercase      (    A_  ,       A_	)->				tuple[float, float]:
  '''simple docstring'''







  return (pa[0] + pa[0]) / 2, (pa[1] + pa[1]) / 2


def 					lowercase      (    A_  ,       A_  ,       A_  ,       A_  ,       )->				None:
  '''simple docstring'''







  my_pen.up()
  my_pen.goto(vertexa[0]  ,       vertexa[1]	)
  my_pen.down()
  my_pen.goto(vertexa[0]  ,       vertexa[1]	)
  my_pen.goto(vertexa[0]  ,       vertexa[1]	)
  my_pen.goto(vertexa[0]  ,       vertexa[1]	)

  if depth == 0:
    return

  triangle(A_  ,       get_mid(A_  ,       A_	)  ,       get_mid(A_  ,       A_	)  ,       depth - 1	)
  triangle(A_  ,       get_mid(A_  ,       A_	)  ,       get_mid(A_  ,       A_	)  ,       depth - 1	)
  triangle(A_  ,       get_mid(A_  ,       A_	)  ,       get_mid(A_  ,       A_	)  ,       depth - 1	)


if __name__ == "__main__":
 if len(sys.argv) != 2:
  raise ValueError(
      """Correct format for using this script: """
      """python fractals.py <int:depth_for_fractal>"""
  )
 __lowercase    =				turtle.Turtle()
 my_pen.ht()
 my_pen.speed(5)
 my_pen.pencolor("""red""")

 __lowercase    =				[(-175, -125), (0, 175), (175, -125)]  # vertices of triangle
 triangle(vertices[0], vertices[1], vertices[2], int(sys.argv[1]))






