




'''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_ 		=      get_tests_dir("fixtures/test_sentencepiece.model")


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

UpperCAmelCase_ 		=      5_00_03
UpperCAmelCase_ 		=      5_00_02





@require_sentencepiece
@require_tokenizers
class    __lowercase						(  __magic_name__       ,							unittest.TestCase ):
   _a							=      PLBartTokenizer
   _a							=      None
   _a							=      False







   def 		UpperCamelCase__			(	self      )				->    Dict:
     super().setUp()

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







   def 		UpperCamelCase__			(	self      )				->    Dict:
     __a			=					PLBartTokenizer(UpperCamelCase      ,							language_codes='base'      ,							keep_accents=UpperCamelCase      )

     __a			=					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			=					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			=					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			=					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>',
             '.',
         ]      ,							)

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

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

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







   def 		UpperCamelCase__			(	self      )				->    str:
     __a			=					PLBartTokenizer(UpperCamelCase      ,							language_codes='multi'      ,							keep_accents=UpperCamelCase      )

     __a			=					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			=					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			=					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			=					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>',
             '.',
         ]      ,							)
     __a			=					tokenizer.vocab_size
     __a			=					[tokenizer.convert_ids_to_tokens(UpperCamelCase      ) for x in range(end - 7      ,							UpperCamelCase      )]

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





@require_torch
@require_sentencepiece
@require_tokenizers
class    __lowercase						(  unittest.TestCase ):
   _a							=      """uclanlp/plbart-python-en_XX"""
   _a							=      [
       """def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])""",
       """def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])""",
   ]
   _a							=      [
       """Returns the maximum value of a b c.""",
       """Sums the values of a b c.""",
   ]
   _a							=      [
       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      )				->    Union[str, Any]:
     __a			=					PLBartTokenizer.from_pretrained(
         cls.checkpoint_name      ,							language_codes='base'      ,							src_lang='python'      ,							tgt_lang='en_XX'      )
     __a			=					1
     return cls







   def 		UpperCamelCase__			(	self      )				->    List[str]:
     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      )				->    Optional[Any]:
     __a			=					self.tokenizer.batch_encode_plus(self.src_text      ).input_ids[0]
     self.assertListEqual(self.expected_src_tokens      ,							UpperCamelCase      )







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







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







   def 		UpperCamelCase__			(	self      )				->    Optional[Any]:
     self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', '__java__']      )      ,							[5_0004, 5_0001]      )







   def 		UpperCamelCase__			(	self      )				->    Optional[int]:
     __a			=					tempfile.mkdtemp()
     __a			=					self.tokenizer.fairseq_tokens_to_ids
     self.tokenizer.save_pretrained(UpperCamelCase      )
     __a			=					PLBartTokenizer.from_pretrained(UpperCamelCase      )
     self.assertDictEqual(new_tok.fairseq_tokens_to_ids      ,							UpperCamelCase      )







   @require_torch
   def 		UpperCamelCase__			(	self      )				->    Dict:
     __a			=					self.tokenizer(self.src_text      ,							text_target=self.tgt_text      ,							padding=UpperCamelCase      ,							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]      ,							UpperCamelCase      )
     self.assertEqual(batch.decoder_input_ids[1][-1]      ,							2      )
     self.assertEqual(batch.labels[1][-2:].tolist()      ,							[2, EN_CODE]      )







   @require_torch
   def 		UpperCamelCase__			(	self      )				->    Dict:
     __a			=					self.tokenizer(
         self.src_text      ,							text_target=self.tgt_text      ,							padding=UpperCamelCase      ,							truncation=UpperCamelCase      ,							max_length=len(self.expected_src_tokens      )      ,							return_tensors='pt'      ,							)
     __a			=					shift_tokens_right(batch['labels']      ,							self.tokenizer.pad_token_id      )

     self.assertIsInstance(UpperCamelCase      ,							UpperCamelCase      )

     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      ,							UpperCamelCase      )
     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      )				->    List[Any]:
     __a			=					self.tokenizer(self.src_text      ,							padding=UpperCamelCase      ,							truncation=UpperCamelCase      ,							max_length=3      ,							return_tensors='pt'      )
     __a			=					self.tokenizer(
         text_target=self.tgt_text      ,							padding=UpperCamelCase      ,							truncation=UpperCamelCase      ,							max_length=10      ,							return_tensors='pt'      )
     __a			=					targets['input_ids']
     __a			=					shift_tokens_right(UpperCamelCase      ,							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      )				->    Optional[int]:
     __a			=					self.tokenizer._build_translation_inputs(
         'A test'      ,							return_tensors='pt'      ,							src_lang='en_XX'      ,							tgt_lang='java'      )

     self.assertEqual(
         nested_simplify(UpperCamelCase      )      ,							{
             # 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'''


import torch

from diffusers import StableDiffusionPipeline


UpperCAmelCase_ 		=      "path-to-your-trained-model"
UpperCAmelCase_ 		=      StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.floataa).to("cuda")

UpperCAmelCase_ 		=      "A photo of sks dog in a bucket"
UpperCAmelCase_ 		=      pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]

image.save("dog-bucket.png")



