






"""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


SCREAMING_SNAKE_CASE						:						Optional[Any]					   =       get_tests_dir('''fixtures/test_sentencepiece.model''')


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

SCREAMING_SNAKE_CASE						:						int					   =       50_003
SCREAMING_SNAKE_CASE						:						Any					   =       50_002





@require_sentencepiece
@require_tokenizers
class       snake_case_       (    _lowerCamelCase    ,							unittest.TestCase       ):



	"""simple docstring"""

	SCREAMING_SNAKE_CASE_:							Tuple   			=					PLBartTokenizer
	SCREAMING_SNAKE_CASE_:							Optional[Any]   			=					None
	SCREAMING_SNAKE_CASE_:							str   			=					False


	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					super().setUp()

					# We have a SentencePiece fixture for testing
					A__							 =       PLBartTokenizer(__a  ,					language_codes='base'  ,					keep_accents=__a						)
					tokenizer.save_pretrained(self.tmpdirname						)


	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					A__							 =       PLBartTokenizer(__a  ,					language_codes='base'  ,					keep_accents=__a						)

					A__							 =       tokenizer.tokenize('This is a test'						)
					self.assertListEqual(__a  ,					['▁This', '▁is', '▁a', '▁t', 'est']						)

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

					A__							 =       tokenizer.tokenize('I was born in 92000, and this is falsé.'						)
					self.assertListEqual(
					    __a  ,					[
					        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__							 =       tokenizer.convert_tokens_to_ids(__a						)
					self.assertListEqual(
					    __a  ,					[
					        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__							 =       tokenizer.convert_ids_to_tokens(__a						)
					self.assertListEqual(
					    __a  ,					[
					        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>',
					        '.',
					    ]  ,					)

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

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

					A__							 =       'java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'
					A__							 =       tokenizer(__a						).input_ids
					self.assertEqual(
					    tokenizer.decode(__a  ,					skip_special_tokens=__a  ,					clean_up_tokenization_spaces=__a						)  ,					__a  ,					)






	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					A__							 =       PLBartTokenizer(__a  ,					language_codes='multi'  ,					keep_accents=__a						)

					A__							 =       tokenizer.tokenize('This is a test'						)
					self.assertListEqual(__a  ,					['▁This', '▁is', '▁a', '▁t', 'est']						)

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

					A__							 =       tokenizer.tokenize('I was born in 92000, and this is falsé.'						)
					self.assertListEqual(
					    __a  ,					[
					        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__							 =       tokenizer.convert_tokens_to_ids(__a						)
					self.assertListEqual(
					    __a  ,					[
					        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__							 =       tokenizer.convert_ids_to_tokens(__a						)
					self.assertListEqual(
					    __a  ,					[
					        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>',
					        '.',
					    ]  ,					)
					A__							 =       tokenizer.vocab_size
					A__							 =       [tokenizer.convert_ids_to_tokens(__a						) for x in range(end - 7  ,					__a						)]

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





@require_torch
@require_sentencepiece
@require_tokenizers
class       snake_case_       (    unittest.TestCase       ):



	"""simple docstring"""

	SCREAMING_SNAKE_CASE_:							Tuple   			=					"""uclanlp/plbart-python-en_XX"""
	SCREAMING_SNAKE_CASE_:							Optional[Any]   			=					[
	    """def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])""",
	    """def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])""",
	]
	SCREAMING_SNAKE_CASE_:							Any   			=					[
	    """Returns the maximum value of a b c.""",
	    """Sums the values of a b c.""",
	]
	SCREAMING_SNAKE_CASE_:							List[str]   			=					[
	    1_34,
	    54_52,
	    3_34_60,
	    3_34_41,
	    3_34_63,
	    3_34_65,
	    3_34_63,
	    3_34_49,
	    9_88,
	    20,
	    3_34_56,
	    19,
	    3_34_56,
	    7_71,
	    39,
	    42_58,
	    8_89,
	    33_18,
	    3_34_41,
	    3_34_63,
	    3_34_65,
	    3_34_63,
	    3_34_49,
	    24_71,
	    2,
	    PYTHON_CODE,
	]


	@classmethod
	def       _UpperCAmelCase						(      cls						):


					"""simple docstring"""

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


	def       _UpperCAmelCase						(      self						):


					"""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       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					A__							 =       self.tokenizer.batch_encode_plus(self.src_text						).input_ids[0]
					self.assertListEqual(self.expected_src_tokens  ,					__a						)


	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

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


	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					A__							 =       ['def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])' * 20]
					self.assertIsInstance(src_text[0]  ,					__a						)
					A__							 =       10
					A__							 =       self.tokenizer(__a  ,					max_length=__a  ,					truncation=__a						).input_ids[0]
					self.assertEqual(ids[-2]  ,					2						)
					self.assertEqual(ids[-1]  ,					__a						)
					self.assertEqual(len(__a						)  ,					__a						)


	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

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


	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					A__							 =       tempfile.mkdtemp()
					A__							 =       self.tokenizer.fairseq_tokens_to_ids
					self.tokenizer.save_pretrained(__a						)
					A__							 =       PLBartTokenizer.from_pretrained(__a						)
					self.assertDictEqual(new_tok.fairseq_tokens_to_ids  ,					__a						)


	@require_torch
	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

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


	@require_torch
	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					A__							 =       self.tokenizer(
					    self.src_text  ,					text_target=self.tgt_text  ,					padding=__a  ,					truncation=__a  ,					max_length=len(self.expected_src_tokens						)  ,					return_tensors='pt'  ,					)
					A__							 =       shift_tokens_right(batch['labels']  ,					self.tokenizer.pad_token_id						)

					self.assertIsInstance(__a  ,					__a						)

					self.assertEqual((2, 26)  ,					batch.input_ids.shape						)
					self.assertEqual((2, 26)  ,					batch.attention_mask.shape						)
					A__							 =       batch.input_ids.tolist()[0]
					self.assertListEqual(self.expected_src_tokens  ,					__a						)
					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						):


					"""simple docstring"""

					A__							 =       self.tokenizer(self.src_text  ,					padding=__a  ,					truncation=__a  ,					max_length=3  ,					return_tensors='pt'						)
					A__							 =       self.tokenizer(
					    text_target=self.tgt_text  ,					padding=__a  ,					truncation=__a  ,					max_length=10  ,					return_tensors='pt'						)
					A__							 =       targets['input_ids']
					A__							 =       shift_tokens_right(__a  ,					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       _UpperCAmelCase						(      self						):


					"""simple docstring"""

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

					self.assertEqual(
					    nested_simplify(__a						)  ,					{
					        # 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,
					    }  ,					)










"""simple docstring"""






from typing import Union

import fire
import torch
from tqdm import tqdm



def  __lowerCamelCase					(					lowerCAmelCase__       ,lowerCAmelCase__ = "cpu"       ,lowerCAmelCase__ = None				):
				A__							 =       torch.load(lowerCAmelCase__       ,map_location=lowerCAmelCase__				)
				for k, v in tqdm(state_dict.items()				):
								if not isinstance(lowerCAmelCase__       ,torch.Tensor				):
												raise TypeError('FP16 conversion only works on paths that are saved state dicts, like pytorch_model.bin'				)
								A__							 =       v.half()
				if save_path is None:  # overwrite src_path
								A__							 =       src_path
				torch.save(lowerCAmelCase__       ,lowerCAmelCase__				)


if __name__ == "__main__":
					fire.Fire(convert)


