

"""simple docstring"""





from __future__ import annotations

import math

_a       =							'2020.9.26'
_a       =							'xcodz-dot, cclaus, dhruvmanila'




def   _A  (  UpperCamelCase_     :       float,			UpperCamelCase_     :       float,			UpperCamelCase_     :       float,			UpperCamelCase_     :       float,			UpperCamelCase_     :       float)	->						tuple[float, float]:
   '''simple docstring'''


   if not all(isinstance(UpperCamelCase_,			(float, int)) for val in locals().values()):
      __lowercase								=						F"""Input values must either be float or int: {list(locals().values())}"""
      raise TypeError(UpperCamelCase_)
   __lowercase								=						((x * distance) / (z + distance)) * scale
   __lowercase								=						((y * distance) / (z + distance)) * scale
   return projected_x, projected_y




def   _A  (  UpperCamelCase_     :       float,			UpperCamelCase_     :       float,			UpperCamelCase_     :       float,			UpperCamelCase_     :       str,			UpperCamelCase_     :       float)	->						tuple[float, float, float]:
   '''simple docstring'''


   if not isinstance(UpperCamelCase_,			UpperCamelCase_):
      raise TypeError("Axis must be a str")
   __lowercase								=						locals()
   del input_variables["axis"]
   if not all(isinstance(UpperCamelCase_,			(float, int)) for val in input_variables.values()):
      __lowercase								=						(
          "Input values except axis must either be float or int: "
          F"""{list(input_variables.values())}"""
      )
      raise TypeError(UpperCamelCase_)
   __lowercase								=						(angle % 360) / 450 * 180 / math.pi
   if axis == "z":
      __lowercase								=						x * math.cos(UpperCamelCase_) - y * math.sin(UpperCamelCase_)
      __lowercase								=						y * math.cos(UpperCamelCase_) + x * math.sin(UpperCamelCase_)
      __lowercase								=						z
   elif axis == "x":
      __lowercase								=						y * math.cos(UpperCamelCase_) - z * math.sin(UpperCamelCase_)
      __lowercase								=						z * math.cos(UpperCamelCase_) + y * math.sin(UpperCamelCase_)
      __lowercase								=						x
   elif axis == "y":
      __lowercase								=						x * math.cos(UpperCamelCase_) - z * math.sin(UpperCamelCase_)
      __lowercase								=						z * math.cos(UpperCamelCase_) + x * math.sin(UpperCamelCase_)
      __lowercase								=						y
   else:
      raise ValueError("not a valid axis, choose one of 'x', 'y', 'z'")

   return new_x, new_y, new_z


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   print(F"{convert_to_ad(1.0, 2.0, 3.0, 10.0, 10.0) = }")
   print(F"{rotate(1.0, 2.0, 3.0, 'y', 90.0) = }")








import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, PLBartTokenizer, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
)

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase											=       get_tests_dir('fixtures/test_sentencepiece.model')


if is_torch_available():
 from transformers.models.plbart.modeling_plbart import shift_tokens_right

lowerCamelCase											=       5_00_03
lowerCamelCase											=       5_00_02




@require_sentencepiece
@require_tokenizers
class A  (   UpperCamelCase_    ,							unittest.TestCase     ):
      UpperCamelCase__							:  int      =PLBartTokenizer
      UpperCamelCase__							:  Dict      =None
      UpperCamelCase__							:  Optional[Any]      =False






      def        lowerCamelCase       (					self						:     Union[str, Any] )					->						List[Any]:
             """simple docstring"""




             super().setUp()

             # We have a SentencePiece fixture for testing
             _lowerCamelCase       :		Any		=PLBartTokenizer(lowercase_			,   language_codes='base'			,   keep_accents=lowercase_ )
             tokenizer.save_pretrained(self.tmpdirname )






      def        lowerCamelCase       (					self						:     List[Any] )					->						str:
             """simple docstring"""




             _lowerCamelCase       :		List[str]		=PLBartTokenizer(lowercase_			,   language_codes='base'			,   keep_accents=lowercase_ )

             _lowerCamelCase       :		Optional[int]		=tokenizer.tokenize('This is a test' )
             self.assertListEqual(lowercase_			,   ['▁This', '▁is', '▁a', '▁t', 'est'] )

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

             _lowerCamelCase       :		str		=tokenizer.tokenize('I was born in 92000, and this is falsé.' )
             self.assertListEqual(
                 lowercase_			,   [
                     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',
                     '.',
                 ]			,   )
             _lowerCamelCase       :		List[Any]		=tokenizer.convert_tokens_to_ids(lowercase_ )
             self.assertListEqual(
                 lowercase_			,   [
                     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]
                 ]			,   )

             _lowerCamelCase       :		Optional[Any]		=tokenizer.convert_ids_to_tokens(lowercase_ )
             self.assertListEqual(
                 lowercase_			,   [
                     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>',
                     '.',
                 ]			,   )

             _lowerCamelCase       :		str		=tokenizer.vocab_size
             _lowerCamelCase       :		List[str]		=[tokenizer.convert_ids_to_tokens(lowercase_ ) for x in range(end - 4			,   lowercase_ )]

             self.assertListEqual(lowercase_			,   ['__java__', '__python__', '__en_XX__', '<mask>'] )

             _lowerCamelCase       :		Optional[Any]		='java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'
             _lowerCamelCase       :		Dict		=tokenizer(lowercase_ ).input_ids
             self.assertEqual(
                 tokenizer.decode(lowercase_			,   skip_special_tokens=lowercase_			,   clean_up_tokenization_spaces=lowercase_ )			,   lowercase_			,   )






      def        lowerCamelCase       (					self						:     str )					->						Tuple:
             """simple docstring"""




             _lowerCamelCase       :		Tuple		=PLBartTokenizer(lowercase_			,   language_codes='multi'			,   keep_accents=lowercase_ )

             _lowerCamelCase       :		Any		=tokenizer.tokenize('This is a test' )
             self.assertListEqual(lowercase_			,   ['▁This', '▁is', '▁a', '▁t', 'est'] )

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

             _lowerCamelCase       :		Optional[Any]		=tokenizer.tokenize('I was born in 92000, and this is falsé.' )
             self.assertListEqual(
                 lowercase_			,   [
                     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',
                     '.',
                 ]			,   )
             _lowerCamelCase       :		Dict		=tokenizer.convert_tokens_to_ids(lowercase_ )
             self.assertListEqual(
                 lowercase_			,   [
                     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]
                 ]			,   )

             _lowerCamelCase       :		Optional[Any]		=tokenizer.convert_ids_to_tokens(lowercase_ )
             self.assertListEqual(
                 lowercase_			,   [
                     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>',
                     '.',
                 ]			,   )
             _lowerCamelCase       :		Dict		=tokenizer.vocab_size
             _lowerCamelCase       :		Optional[int]		=[tokenizer.convert_ids_to_tokens(lowercase_ ) for x in range(end - 7			,   lowercase_ )]

             self.assertListEqual(
                 lowercase_			,   ['__java__', '__python__', '__en_XX__', '__javascript__', '__php__', '__ruby__', '__go__'] )
             _lowerCamelCase       :		int		='java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'
             _lowerCamelCase       :		Any		=tokenizer(lowercase_ ).input_ids
             self.assertEqual(
                 tokenizer.decode(lowercase_			,   skip_special_tokens=lowercase_			,   clean_up_tokenization_spaces=lowercase_ )			,   lowercase_			,   )




@require_torch
@require_sentencepiece
@require_tokenizers
class A  (   unittest.TestCase     ):
      UpperCamelCase__							:  List[Any]      ='uclanlp/plbart-python-en_XX'
      UpperCamelCase__							:  List[str]      =[
          'def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])',
          'def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])',
      ]
      UpperCamelCase__							:  Optional[int]      =[
          'Returns the maximum value of a b c.',
          'Sums the values of a b c.',
      ]
      UpperCamelCase__							:  str      =[
          134,
          5452,
          33460,
          33441,
          33463,
          33465,
          33463,
          33449,
          988,
          20,
          33456,
          19,
          33456,
          771,
          39,
          4258,
          889,
          3318,
          33441,
          33463,
          33465,
          33463,
          33449,
          2471,
          2,
          PYTHON_CODE,
      ]






      @classmethod
      def        lowerCamelCase       (					cls						:     str )					->						Optional[Any]:
             """simple docstring"""




             _lowerCamelCase       :		PLBartTokenizer		=PLBartTokenizer.from_pretrained(
                 cls.checkpoint_name			,   language_codes='base'			,   src_lang='python'			,   tgt_lang='en_XX' )
             _lowerCamelCase       :		Any		=1
             return cls






      def        lowerCamelCase       (					self						:     List[str] )					->						Any:
             """simple docstring"""




             self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['__java__']			,   5_0001 )
             self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['__python__']			,   5_0002 )
             self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['__en_XX__']			,   5_0003 )






      def        lowerCamelCase       (					self						:     Optional[int] )					->						str:
             """simple docstring"""




             _lowerCamelCase       :		List[Any]		=self.tokenizer.batch_encode_plus(self.src_text ).input_ids[0]
             self.assertListEqual(self.expected_src_tokens			,   lowercase_ )






      def        lowerCamelCase       (					self						:     Union[str, Any] )					->						Tuple:
             """simple docstring"""




             self.assertIn(lowercase_			,   self.tokenizer.all_special_ids )
             _lowerCamelCase       :		Dict		=[EN_CODE, 9037, 3_3442, 57, 752, 153, 14, 56, 18, 9, 2]
             _lowerCamelCase       :		Optional[int]		=self.tokenizer.decode(lowercase_			,   skip_special_tokens=lowercase_ )
             _lowerCamelCase       :		int		=self.tokenizer.decode(generated_ids[1:]			,   skip_special_tokens=lowercase_ )
             self.assertEqual(lowercase_			,   lowercase_ )
             self.assertNotIn(self.tokenizer.eos_token			,   lowercase_ )






      def        lowerCamelCase       (					self						:     Optional[Any] )					->						str:
             """simple docstring"""




             _lowerCamelCase       :		List[Any]		=['def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])' * 20]
             self.assertIsInstance(src_text[0]			,   lowercase_ )
             _lowerCamelCase       :		Tuple		=10
             _lowerCamelCase       :		Optional[int]		=self.tokenizer(lowercase_			,   max_length=lowercase_			,   truncation=lowercase_ ).input_ids[0]
             self.assertEqual(ids[-2]			,   2 )
             self.assertEqual(ids[-1]			,   lowercase_ )
             self.assertEqual(len(lowercase_ )			,   lowercase_ )






      def        lowerCamelCase       (					self						:     Dict )					->						Optional[int]:
             """simple docstring"""




             self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', '__java__'] )			,   [5_0004, 5_0001] )






      def        lowerCamelCase       (					self						:     Optional[int] )					->						str:
             """simple docstring"""




             _lowerCamelCase       :		List[str]		=tempfile.mkdtemp()
             _lowerCamelCase       :		Dict		=self.tokenizer.fairseq_tokens_to_ids
             self.tokenizer.save_pretrained(lowercase_ )
             _lowerCamelCase       :		Any		=PLBartTokenizer.from_pretrained(lowercase_ )
             self.assertDictEqual(new_tok.fairseq_tokens_to_ids			,   lowercase_ )






      @require_torch
      def        lowerCamelCase       (					self						:     Optional[Any] )					->						Dict:
             """simple docstring"""




             _lowerCamelCase       :		Optional[Any]		=self.tokenizer(self.src_text			,   text_target=self.tgt_text			,   padding=lowercase_			,   return_tensors='pt' )
             _lowerCamelCase       :		List[Any]		=shift_tokens_right(batch['labels']			,   self.tokenizer.pad_token_id )

             # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
             self.assertEqual(batch.input_ids[1][-2:].tolist()			,   [2, PYTHON_CODE] )
             self.assertEqual(batch.decoder_input_ids[1][0]			,   lowercase_ )
             self.assertEqual(batch.decoder_input_ids[1][-1]			,   2 )
             self.assertEqual(batch.labels[1][-2:].tolist()			,   [2, EN_CODE] )






      @require_torch
      def        lowerCamelCase       (					self						:     Tuple )					->						Optional[int]:
             """simple docstring"""




             _lowerCamelCase       :		int		=self.tokenizer(
                 self.src_text			,   text_target=self.tgt_text			,   padding=lowercase_			,   truncation=lowercase_			,   max_length=len(self.expected_src_tokens )			,   return_tensors='pt'			,   )
             _lowerCamelCase       :		List[Any]		=shift_tokens_right(batch['labels']			,   self.tokenizer.pad_token_id )

             self.assertIsInstance(lowercase_			,   lowercase_ )

             self.assertEqual((2, 26)			,   batch.input_ids.shape )
             self.assertEqual((2, 26)			,   batch.attention_mask.shape )
             _lowerCamelCase       :		List[Any]		=batch.input_ids.tolist()[0]
             self.assertListEqual(self.expected_src_tokens			,   lowercase_ )
             self.assertEqual(2			,   batch.decoder_input_ids[0, -1] )  # EOS
             # Test that special tokens are reset
             self.assertEqual(self.tokenizer.prefix_tokens			,   [] )
             self.assertEqual(self.tokenizer.suffix_tokens			,   [self.tokenizer.eos_token_id, PYTHON_CODE] )






      def        lowerCamelCase       (					self						:     Union[str, Any] )					->						Union[str, Any]:
             """simple docstring"""




             _lowerCamelCase       :		Tuple		=self.tokenizer(self.src_text			,   padding=lowercase_			,   truncation=lowercase_			,   max_length=3			,   return_tensors='pt' )
             _lowerCamelCase       :		Dict		=self.tokenizer(
                 text_target=self.tgt_text			,   padding=lowercase_			,   truncation=lowercase_			,   max_length=10			,   return_tensors='pt' )
             _lowerCamelCase       :		List[str]		=targets['input_ids']
             _lowerCamelCase       :		Optional[Any]		=shift_tokens_right(lowercase_			,   self.tokenizer.pad_token_id )

             self.assertEqual(batch.input_ids.shape[1]			,   3 )
             self.assertEqual(batch.decoder_input_ids.shape[1]			,   10 )






      @require_torch
      def        lowerCamelCase       (					self						:     Any )					->						Any:
             """simple docstring"""




             _lowerCamelCase       :		Any		=self.tokenizer._build_translation_inputs(
                 'A test'			,   return_tensors='pt'			,   src_lang='en_XX'			,   tgt_lang='java' )

             self.assertEqual(
                 nested_simplify(lowercase_ )			,   {
                     # A, test, EOS, en_XX
                     'input_ids': [[150, 242, 2, 5_0003]],
                     'attention_mask': [[1, 1, 1, 1]],
                     # java
                     'forced_bos_token_id': 5_0001,
                 }			,   )


