



"""simple docstring"""
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


UpperCAmelCase						:		str			= get_tests_dir("fixtures/test_sentencepiece.model")


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

UpperCAmelCase						:		int			= 5_0003
UpperCAmelCase						:		Optional[Any]			= 5_0002


@require_sentencepiece
@require_tokenizers
class    SCREAMING_SNAKE_CASE__ (							__UpperCAmelCase      ,  unittest.TestCase   ):
				lowercase__      =   PLBartTokenizer
				lowercase__      =   None
				lowercase__      =   False

				def 					_UpperCAmelCase	(				self			:				Dict):







						"""simple docstring"""







						super().setUp()

						# We have a SentencePiece fixture for testing
						lowercase_								= PLBartTokenizer(lowerCAmelCase_ ,  language_codes="""base""" ,  keep_accents=lowerCAmelCase_)
						tokenizer.save_pretrained(self.tmpdirname)

				def 					_UpperCAmelCase	(				self			:				List[str]):







						"""simple docstring"""







						lowercase_								= PLBartTokenizer(lowerCAmelCase_ ,  language_codes="""base""" ,  keep_accents=lowerCAmelCase_)

						lowercase_								= 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]] ,  )

						lowercase_								= 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""",
						        """.""",
						    ] ,  )
						lowercase_								= 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, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
						    ] ,  )

						lowercase_								= 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>""",
						        """.""",
						    ] ,  )

						lowercase_								= tokenizer.vocab_size
						lowercase_								= [tokenizer.convert_ids_to_tokens(lowerCAmelCase_) for x in range(end - 4 ,  lowerCAmelCase_)]

						self.assertListEqual(lowerCAmelCase_ ,  ["""__java__""", """__python__""", """__en_XX__""", """<mask>"""])

						lowercase_								= """java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"""
						lowercase_								= tokenizer(lowerCAmelCase_).input_ids
						self.assertEqual(
						    tokenizer.decode(lowerCAmelCase_ ,  skip_special_tokens=lowerCAmelCase_ ,  clean_up_tokenization_spaces=lowerCAmelCase_) ,  lowerCAmelCase_ ,  )




				def 					_UpperCAmelCase	(				self			:				Optional[Any]):







						"""simple docstring"""







						lowercase_								= PLBartTokenizer(lowerCAmelCase_ ,  language_codes="""multi""" ,  keep_accents=lowerCAmelCase_)

						lowercase_								= 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]] ,  )

						lowercase_								= 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""",
						        """.""",
						    ] ,  )
						lowercase_								= 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, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
						    ] ,  )

						lowercase_								= 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>""",
						        """.""",
						    ] ,  )
						lowercase_								= tokenizer.vocab_size
						lowercase_								= [tokenizer.convert_ids_to_tokens(lowerCAmelCase_) for x in range(end - 7 ,  lowerCAmelCase_)]

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







@require_torch
@require_sentencepiece
@require_tokenizers
class    SCREAMING_SNAKE_CASE__ (							unittest.TestCase   ):
				lowercase__      =   "uclanlp/plbart-python-en_XX"
				lowercase__      =   [
				    "def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])",
				    "def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])",
				]
				lowercase__      =   [
				    "Returns the maximum value of a b c.",
				    "Sums the values of a b c.",
				]
				lowercase__      =   [
				    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 					_UpperCAmelCase	(				cls			:				List[Any]):







						"""simple docstring"""







						lowercase_								= PLBartTokenizer.from_pretrained(
						    cls.checkpoint_name ,  language_codes="""base""" ,  src_lang="""python""" ,  tgt_lang="""en_XX""")
						lowercase_								= 1
						return cls

				def 					_UpperCAmelCase	(				self			:				int):







						"""simple docstring"""







						self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__java__"""] ,  5_0_0_0_1)
						self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__python__"""] ,  5_0_0_0_2)
						self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__en_XX__"""] ,  5_0_0_0_3)

				def 					_UpperCAmelCase	(				self			:				Optional[Any]):







						"""simple docstring"""







						lowercase_								= self.tokenizer.batch_encode_plus(self.src_text).input_ids[0]
						self.assertListEqual(self.expected_src_tokens ,  lowerCAmelCase_)

				def 					_UpperCAmelCase	(				self			:				List[str]):







						"""simple docstring"""







						self.assertIn(lowerCAmelCase_ ,  self.tokenizer.all_special_ids)
						lowercase_								= [EN_CODE, 9_0_3_7, 3_3_4_4_2, 5_7, 7_5_2, 1_5_3, 1_4, 5_6, 1_8, 9, 2]
						lowercase_								= self.tokenizer.decode(lowerCAmelCase_ ,  skip_special_tokens=lowerCAmelCase_)
						lowercase_								= self.tokenizer.decode(generated_ids[1:] ,  skip_special_tokens=lowerCAmelCase_)
						self.assertEqual(lowerCAmelCase_ ,  lowerCAmelCase_)
						self.assertNotIn(self.tokenizer.eos_token ,  lowerCAmelCase_)

				def 					_UpperCAmelCase	(				self			:				str):







						"""simple docstring"""







						lowercase_								= ["""def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])""" * 2_0]
						self.assertIsInstance(src_text[0] ,  lowerCAmelCase_)
						lowercase_								= 1_0
						lowercase_								= self.tokenizer(lowerCAmelCase_ ,  max_length=lowerCAmelCase_ ,  truncation=lowerCAmelCase_).input_ids[0]
						self.assertEqual(ids[-2] ,  2)
						self.assertEqual(ids[-1] ,  lowerCAmelCase_)
						self.assertEqual(len(lowerCAmelCase_) ,  lowerCAmelCase_)

				def 					_UpperCAmelCase	(				self			:				Optional[Any]):







						"""simple docstring"""







						self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["""<mask>""", """__java__"""]) ,  [5_0_0_0_4, 5_0_0_0_1])

				def 					_UpperCAmelCase	(				self			:				Union[str, Any]):







						"""simple docstring"""







						lowercase_								= tempfile.mkdtemp()
						lowercase_								= self.tokenizer.fairseq_tokens_to_ids
						self.tokenizer.save_pretrained(lowerCAmelCase_)
						lowercase_								= PLBartTokenizer.from_pretrained(lowerCAmelCase_)
						self.assertDictEqual(new_tok.fairseq_tokens_to_ids ,  lowerCAmelCase_)

				@require_torch
				def 					_UpperCAmelCase	(				self			:				Dict):







						"""simple docstring"""







						lowercase_								= self.tokenizer(self.src_text ,  text_target=self.tgt_text ,  padding=lowerCAmelCase_ ,  return_tensors="""pt""")
						lowercase_								= 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] ,  lowerCAmelCase_)
						self.assertEqual(batch.decoder_input_ids[1][-1] ,  2)
						self.assertEqual(batch.labels[1][-2:].tolist() ,  [2, EN_CODE])

				@require_torch
				def 					_UpperCAmelCase	(				self			:				int):







						"""simple docstring"""







						lowercase_								= self.tokenizer(
						    self.src_text ,  text_target=self.tgt_text ,  padding=lowerCAmelCase_ ,  truncation=lowerCAmelCase_ ,  max_length=len(self.expected_src_tokens) ,  return_tensors="""pt""" ,  )
						lowercase_								= shift_tokens_right(batch["""labels"""] ,  self.tokenizer.pad_token_id)

						self.assertIsInstance(lowerCAmelCase_ ,  lowerCAmelCase_)

						self.assertEqual((2, 2_6) ,  batch.input_ids.shape)
						self.assertEqual((2, 2_6) ,  batch.attention_mask.shape)
						lowercase_								= batch.input_ids.tolist()[0]
						self.assertListEqual(self.expected_src_tokens ,  lowerCAmelCase_)
						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 					_UpperCAmelCase	(				self			:				Dict):







						"""simple docstring"""







						lowercase_								= self.tokenizer(self.src_text ,  padding=lowerCAmelCase_ ,  truncation=lowerCAmelCase_ ,  max_length=3 ,  return_tensors="""pt""")
						lowercase_								= self.tokenizer(
						    text_target=self.tgt_text ,  padding=lowerCAmelCase_ ,  truncation=lowerCAmelCase_ ,  max_length=1_0 ,  return_tensors="""pt""")
						lowercase_								= targets["""input_ids"""]
						lowercase_								= shift_tokens_right(lowerCAmelCase_ ,  self.tokenizer.pad_token_id)

						self.assertEqual(batch.input_ids.shape[1] ,  3)
						self.assertEqual(batch.decoder_input_ids.shape[1] ,  1_0)




				@require_torch
				def 					_UpperCAmelCase	(				self			:				Dict):







						"""simple docstring"""







						lowercase_								= self.tokenizer._build_translation_inputs(
						    """A test""" ,  return_tensors="""pt""" ,  src_lang="""en_XX""" ,  tgt_lang="""java""")

						self.assertEqual(
						    nested_simplify(lowerCAmelCase_) ,  {
						        # A, test, EOS, en_XX
						        """input_ids""": [[1_5_0, 2_4_2, 2, 5_0_0_0_3]],
						        """attention_mask""": [[1, 1, 1, 1]],
						        # java
						        """forced_bos_token_id""": 5_0_0_0_1,
						    } ,  )






"""simple docstring"""
import numpy as np
from sklearn.datasets import fetch_california_housing
from sklearn.metrics import mean_absolute_error, mean_squared_error
from sklearn.model_selection import train_test_split
from xgboost import XGBRegressor


def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase							) ->						tuple:







  '''simple docstring'''


  return (data["data"], data["target"])


def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase ,  __lowerCAmelCase ,  __lowerCAmelCase							) ->						np.ndarray:







  '''simple docstring'''


  lowercase_								= XGBRegressor(verbosity=0 ,  random_state=42							)
  xgb.fit(__lowerCAmelCase ,  __lowerCAmelCase							)
  # Predict target for test data
  lowercase_								= xgb.predict(__lowerCAmelCase							)
  lowercase_								= predictions.reshape(len(__lowerCAmelCase							) ,  1							)
  return predictions


def 			_SCREAMING_SNAKE_CASE						() ->						None:







  '''simple docstring'''


  lowercase_								= fetch_california_housing()
  lowercase_					,    lowercase_								= data_handling(__lowerCAmelCase							)
  lowercase_					,    lowercase_					,    lowercase_					,    lowercase_								= train_test_split(
      __lowerCAmelCase ,  __lowerCAmelCase ,  test_size=0.25 ,  random_state=1							)
  lowercase_								= xgboost(__lowerCAmelCase ,  __lowerCAmelCase ,  __lowerCAmelCase							)
  # Error printing
  print(F'''Mean Absolute Error : {mean_absolute_error(__lowerCAmelCase ,  __lowerCAmelCase							)}'''							)
  print(F'''Mean Square Error  : {mean_squared_error(__lowerCAmelCase ,  __lowerCAmelCase							)}'''							)


if __name__ == "__main__":
       import doctest

       doctest.testmod(verbose=True)
       main()

