import json
import os
import random
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import BertTokenizer, BertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_vision_available


if is_vision_available():
						from PIL import Image

						from transformers import FlavaImageProcessor, FlavaProcessor
						from transformers.models.flava.image_processing_flava import (
						    FLAVA_CODEBOOK_MEAN,
						    FLAVA_CODEBOOK_STD,
						    FLAVA_IMAGE_MEAN,
						    FLAVA_IMAGE_STD,
						)


@require_vision
class      _lowercase						(				unittest.TestCase					):

				def     A	(       self    :      Optional[Any]       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						tempfile.mkdtemp()

										# fmt: off
										UpperCAmelCase__   		=						["""[UNK]""", """[CLS]""", """[SEP]""", """[PAD]""", """[MASK]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing""", """,""", """low""", """lowest"""]
										# fmt: on
										UpperCAmelCase__   		=						os.path.join(self.tmpdirname    ,      VOCAB_FILES_NAMES["""vocab_file"""]       )

										with open(self.vocab_file    ,      """w"""    ,      encoding="""utf-8"""       ) as fp:
																fp.write("""""".join([x + """\n""" for x in vocab_tokens]       )       )

										UpperCAmelCase__   		=						{
										    """image_mean""": FLAVA_IMAGE_MEAN,
										    """image_std""": FLAVA_IMAGE_STD,
										    """do_normalize""": True,
										    """do_resize""": True,
										    """size""": 2_2_4,
										    """do_center_crop""": True,
										    """crop_size""": 2_2_4,
										    """input_size_patches""": 1_4,
										    """total_mask_patches""": 7_5,
										    """mask_group_max_patches""": None,
										    """mask_group_min_patches""": 1_6,
										    """mask_group_min_aspect_ratio""": 0.3,
										    """mask_group_max_aspect_ratio""": None,
										    """codebook_do_resize""": True,
										    """codebook_size""": 1_1_2,
										    """codebook_do_center_crop""": True,
										    """codebook_crop_size""": 1_1_2,
										    """codebook_do_map_pixels""": True,
										    """codebook_do_normalize""": True,
										    """codebook_image_mean""": FLAVA_CODEBOOK_MEAN,
										    """codebook_image_std""": FLAVA_CODEBOOK_STD,
										}

										UpperCAmelCase__   		=						os.path.join(self.tmpdirname    ,      __lowercase       )
										with open(self.image_processor_file    ,      """w"""    ,      encoding="""utf-8"""       ) as fp:
																json.dump(__lowercase    ,      __lowercase       )

				def     A	(       self    :      Optional[Any]    ,      **_lowercase    :      int       ):


										'''simple docstring'''
										return BertTokenizer.from_pretrained(self.tmpdirname    ,      **__lowercase       )

				def     A	(       self    :      Any    ,      **_lowercase    :      List[str]       ):


										'''simple docstring'''
										return BertTokenizerFast.from_pretrained(self.tmpdirname    ,      **__lowercase       )

				def     A	(       self    :      List[Any]    ,      **_lowercase    :      int       ):


										'''simple docstring'''
										return FlavaImageProcessor.from_pretrained(self.tmpdirname    ,      **__lowercase       )

				def     A	(       self    :      List[str]       ):


										'''simple docstring'''
										shutil.rmtree(self.tmpdirname       )

				def     A	(       self    :      Tuple       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						[np.random.randint(2_5_5    ,      size=(3, 3_0, 4_0_0)    ,      dtype=np.uinta       )]

										UpperCAmelCase__   		=						[Image.fromarray(np.moveaxis(__lowercase    ,      0    ,      -1       )       ) for x in image_inputs]

										return image_inputs

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


										'''simple docstring'''
										UpperCAmelCase__   		=						self.get_tokenizer()
										UpperCAmelCase__   		=						self.get_rust_tokenizer()
										UpperCAmelCase__   		=						self.get_image_processor()

										UpperCAmelCase__   		=						FlavaProcessor(tokenizer=__lowercase    ,      image_processor=__lowercase       )
										processor_slow.save_pretrained(self.tmpdirname       )
										UpperCAmelCase__   		=						FlavaProcessor.from_pretrained(self.tmpdirname    ,      use_fast=__lowercase       )

										UpperCAmelCase__   		=						FlavaProcessor(tokenizer=__lowercase    ,      image_processor=__lowercase       )
										processor_fast.save_pretrained(self.tmpdirname       )
										UpperCAmelCase__   		=						FlavaProcessor.from_pretrained(self.tmpdirname       )

										self.assertEqual(processor_slow.tokenizer.get_vocab()    ,      tokenizer_slow.get_vocab()       )
										self.assertEqual(processor_fast.tokenizer.get_vocab()    ,      tokenizer_fast.get_vocab()       )
										self.assertEqual(tokenizer_slow.get_vocab()    ,      tokenizer_fast.get_vocab()       )
										self.assertIsInstance(processor_slow.tokenizer    ,      __lowercase       )
										self.assertIsInstance(processor_fast.tokenizer    ,      __lowercase       )

										self.assertEqual(processor_slow.image_processor.to_json_string()    ,      image_processor.to_json_string()       )
										self.assertEqual(processor_fast.image_processor.to_json_string()    ,      image_processor.to_json_string()       )
										self.assertIsInstance(processor_slow.image_processor    ,      __lowercase       )
										self.assertIsInstance(processor_fast.image_processor    ,      __lowercase       )

				def     A	(       self    :      Optional[int]       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						FlavaProcessor(tokenizer=self.get_tokenizer()    ,      image_processor=self.get_image_processor()       )
										processor.save_pretrained(self.tmpdirname       )

										UpperCAmelCase__   		=						self.get_tokenizer(bos_token="""(BOS)"""    ,      eos_token="""(EOS)"""       )
										UpperCAmelCase__   		=						self.get_image_processor(do_normalize=__lowercase    ,      padding_value=1.0       )

										UpperCAmelCase__   		=						FlavaProcessor.from_pretrained(
										    self.tmpdirname    ,      bos_token="""(BOS)"""    ,      eos_token="""(EOS)"""    ,      do_normalize=__lowercase    ,      padding_value=1.0       )

										self.assertEqual(processor.tokenizer.get_vocab()    ,      tokenizer_add_kwargs.get_vocab()       )
										self.assertIsInstance(processor.tokenizer    ,      __lowercase       )

										self.assertEqual(processor.image_processor.to_json_string()    ,      image_processor_add_kwargs.to_json_string()       )
										self.assertIsInstance(processor.image_processor    ,      __lowercase       )

				def     A	(       self    :      Any       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						self.get_image_processor()
										UpperCAmelCase__   		=						self.get_tokenizer()

										UpperCAmelCase__   		=						FlavaProcessor(tokenizer=__lowercase    ,      image_processor=__lowercase       )

										UpperCAmelCase__   		=						self.prepare_image_inputs()

										UpperCAmelCase__   		=						image_processor(__lowercase    ,      return_tensors="""np"""       )
										UpperCAmelCase__   		=						processor(images=__lowercase    ,      return_tensors="""np"""       )

										for key in input_feat_extract.keys():
																self.assertAlmostEqual(input_feat_extract[key].sum()    ,      input_processor[key].sum()    ,      delta=1e-2       )

										# With rest of the args
										random.seed(1_2_3_4       )
										UpperCAmelCase__   		=						image_processor(
										    __lowercase    ,      return_image_mask=__lowercase    ,      return_codebook_pixels=__lowercase    ,      return_tensors="""np"""       )
										random.seed(1_2_3_4       )
										UpperCAmelCase__   		=						processor(
										    images=__lowercase    ,      return_image_mask=__lowercase    ,      return_codebook_pixels=__lowercase    ,      return_tensors="""np"""       )

										for key in input_feat_extract.keys():
																self.assertAlmostEqual(input_feat_extract[key].sum()    ,      input_processor[key].sum()    ,      delta=1e-2       )

				def     A	(       self    :      str       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						self.get_image_processor()
										UpperCAmelCase__   		=						self.get_tokenizer()

										UpperCAmelCase__   		=						FlavaProcessor(tokenizer=__lowercase    ,      image_processor=__lowercase       )

										UpperCAmelCase__   		=						"""lower newer"""

										UpperCAmelCase__   		=						processor(text=__lowercase       )

										UpperCAmelCase__   		=						tokenizer(__lowercase       )

										for key in encoded_tok.keys():
																self.assertListEqual(encoded_tok[key]    ,      encoded_processor[key]       )

				def     A	(       self    :      Any       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						self.get_image_processor()
										UpperCAmelCase__   		=						self.get_tokenizer()

										UpperCAmelCase__   		=						FlavaProcessor(tokenizer=__lowercase    ,      image_processor=__lowercase       )

										UpperCAmelCase__   		=						"""lower newer"""
										UpperCAmelCase__   		=						self.prepare_image_inputs()

										UpperCAmelCase__   		=						processor(text=__lowercase    ,      images=__lowercase       )

										self.assertListEqual(list(inputs.keys()       )    ,      ["""input_ids""", """token_type_ids""", """attention_mask""", """pixel_values"""]       )

										# add extra args
										UpperCAmelCase__   		=						processor(text=__lowercase    ,      images=__lowercase    ,      return_codebook_pixels=__lowercase    ,      return_image_mask=__lowercase       )

										self.assertListEqual(
										    list(inputs.keys()       )    ,      [
										        """input_ids""",
										        """token_type_ids""",
										        """attention_mask""",
										        """pixel_values""",
										        """codebook_pixel_values""",
										        """bool_masked_pos""",
										    ]    ,      )

										# test if it raises when no input is passed
										with pytest.raises(__lowercase       ):
																processor()

				def     A	(       self    :      int       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						self.get_image_processor()
										UpperCAmelCase__   		=						self.get_tokenizer()

										UpperCAmelCase__   		=						FlavaProcessor(tokenizer=__lowercase    ,      image_processor=__lowercase       )

										UpperCAmelCase__   		=						[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

										UpperCAmelCase__   		=						processor.batch_decode(__lowercase       )
										UpperCAmelCase__   		=						tokenizer.batch_decode(__lowercase       )

										self.assertListEqual(__lowercase    ,      __lowercase       )

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


										'''simple docstring'''
										UpperCAmelCase__   		=						self.get_image_processor()
										UpperCAmelCase__   		=						self.get_tokenizer()

										UpperCAmelCase__   		=						FlavaProcessor(tokenizer=__lowercase    ,      image_processor=__lowercase       )

										UpperCAmelCase__   		=						"""lower newer"""
										UpperCAmelCase__   		=						self.prepare_image_inputs()

										UpperCAmelCase__   		=						processor(text=__lowercase    ,      images=__lowercase       )

										self.assertListEqual(list(inputs.keys()       )    ,      processor.model_input_names       )


"""simple docstring"""







import safs


class      _lowercase						(				safs.SaFileSystem					):
				pass

