



"""simple docstring"""
import unittest

import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel

from diffusers import DDIMScheduler, LDMPipeline, UNetaDModel, VQModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device


enable_full_determinism()


class    SCREAMING_SNAKE_CASE__ (							unittest.TestCase   ):

    @property
    def 					_UpperCAmelCase	(				self			:				Optional[Any]):







      """simple docstring"""







      torch.manual_seed(0)
      lowercase_								= UNetaDModel(
          block_out_channels=(3_2, 6_4) ,  layers_per_block=2 ,  sample_size=3_2 ,  in_channels=3 ,  out_channels=3 ,  down_block_types=("""DownBlock2D""", """AttnDownBlock2D""") ,  up_block_types=("""AttnUpBlock2D""", """UpBlock2D""") ,  )
      return model

    @property
    def 					_UpperCAmelCase	(				self			:				str):







      """simple docstring"""







      torch.manual_seed(0)
      lowercase_								= VQModel(
          block_out_channels=[3_2, 6_4] ,  in_channels=3 ,  out_channels=3 ,  down_block_types=["""DownEncoderBlock2D""", """DownEncoderBlock2D"""] ,  up_block_types=["""UpDecoderBlock2D""", """UpDecoderBlock2D"""] ,  latent_channels=3 ,  )
      return model

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







      """simple docstring"""







      torch.manual_seed(0)
      lowercase_								= CLIPTextConfig(
          bos_token_id=0 ,  eos_token_id=2 ,  hidden_size=3_2 ,  intermediate_size=3_7 ,  layer_norm_eps=1E-05 ,  num_attention_heads=4 ,  num_hidden_layers=5 ,  pad_token_id=1 ,  vocab_size=1_0_0_0 ,  )
      return CLIPTextModel(lowerCAmelCase_)




    def 					_UpperCAmelCase	(				self			:				Dict):







      """simple docstring"""







      lowercase_								= self.dummy_uncond_unet
      lowercase_								= DDIMScheduler()
      lowercase_								= self.dummy_vq_model

      lowercase_								= LDMPipeline(unet=lowerCAmelCase_ ,  vqvae=lowerCAmelCase_ ,  scheduler=lowerCAmelCase_)
      ldm.to(lowerCAmelCase_)
      ldm.set_progress_bar_config(disable=lowerCAmelCase_)

      lowercase_								= torch.manual_seed(0)
      lowercase_								= ldm(generator=lowerCAmelCase_ ,  num_inference_steps=2 ,  output_type="""numpy""").images

      lowercase_								= torch.manual_seed(0)
      lowercase_								= ldm(generator=lowerCAmelCase_ ,  num_inference_steps=2 ,  output_type="""numpy""" ,  return_dict=lowerCAmelCase_)[0]

      lowercase_								= image[0, -3:, -3:, -1]
      lowercase_								= image_from_tuple[0, -3:, -3:, -1]

      assert image.shape == (1, 6_4, 6_4, 3)
      lowercase_								= np.array([0.8_512, 0.818, 0.6_411, 0.6_808, 0.4_465, 0.5_618, 0.46, 0.6_231, 0.5_172])
      lowercase_								= 1E-2 if torch_device != """mps""" else 3E-2

      assert np.abs(image_slice.flatten() - expected_slice).max() < tolerance
      assert np.abs(image_from_tuple_slice.flatten() - expected_slice).max() < tolerance







@slow
@require_torch
class    SCREAMING_SNAKE_CASE__ (							unittest.TestCase   ):

    def 					_UpperCAmelCase	(				self			:				Dict):







      """simple docstring"""







      lowercase_								= LDMPipeline.from_pretrained("""CompVis/ldm-celebahq-256""")
      ldm.to(lowerCAmelCase_)
      ldm.set_progress_bar_config(disable=lowerCAmelCase_)

      lowercase_								= torch.manual_seed(0)
      lowercase_								= ldm(generator=lowerCAmelCase_ ,  num_inference_steps=5 ,  output_type="""numpy""").images

      lowercase_								= image[0, -3:, -3:, -1]

      assert image.shape == (1, 2_5_6, 2_5_6, 3)
      lowercase_								= np.array([0.4_399, 0.44_975, 0.46_825, 0.474, 0.4_359, 0.4_581, 0.45_095, 0.4_341, 0.4_447])
      lowercase_								= 1E-2 if torch_device != """mps""" else 3E-2

      assert np.abs(image_slice.flatten() - expected_slice).max() < tolerance






"""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,
          } ,  )

