






import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available


if is_torch_available():
       from transformers.pytorch_utils import is_torch_greater_or_equal_than_1_11
else:
       a	: List[Any]      =				False

if is_vision_available():
       from PIL import Image

       from transformers import (
           AutoProcessor,
           PixaStructImageProcessor,
           PixaStructProcessor,
           PreTrainedTokenizerFast,
           TaTokenizer,
       )
@unittest.skipIf(
    not is_torch_greater_or_equal_than_1_11							, reason='`Pix2StructImageProcessor` requires `torch>=1.11.0`.'							, )
@require_vision
@require_torch
class 					a					(				unittest.TestCase     ):



      """simple docstring"""


      def 			UpperCAmelCase   (   self      :    List[str]      )							->   List[str]:
        __UpperCAmelCase							:			Union[str, Any]     =						tempfile.mkdtemp()

        __UpperCAmelCase							:			Dict     =						PixaStructImageProcessor()
        __UpperCAmelCase							:			List[Any]     =						TaTokenizer.from_pretrained("""t5-small"""      )

        __UpperCAmelCase							:			Optional[int]     =						PixaStructProcessor(__lowercase	,   __lowercase      )

        processor.save_pretrained(self.tmpdirname      )
      def 			UpperCAmelCase   (   self      :    Optional[Any]	,   **__lowercase      :    Dict      )							->   Optional[int]:
        return AutoProcessor.from_pretrained(self.tmpdirname	,   **__lowercase      ).tokenizer
      def 			UpperCAmelCase   (   self      :    List[str]	,   **__lowercase      :    Union[str, Any]      )							->   Dict:
        return AutoProcessor.from_pretrained(self.tmpdirname	,   **__lowercase      ).image_processor
      def 			UpperCAmelCase   (   self      :    Optional[int]      )							->   Union[str, Any]:
        shutil.rmtree(self.tmpdirname      )
      def 			UpperCAmelCase   (   self      :    Optional[int]      )							->   List[str]:
        __UpperCAmelCase							:			str     =						[np.random.randint(255	,   size=(3, 30, 400)	,   dtype=np.uinta      )]

        __UpperCAmelCase							:			Union[str, Any]     =						[Image.fromarray(np.moveaxis(__lowercase	,   0	,   -1      )      ) for x in image_inputs]

        return image_inputs
      def 			UpperCAmelCase   (   self      :    Union[str, Any]      )							->   Union[str, Any]:
        __UpperCAmelCase							:			Any     =						PixaStructProcessor(tokenizer=self.get_tokenizer()	,   image_processor=self.get_image_processor()      )
        processor.save_pretrained(self.tmpdirname      )

        __UpperCAmelCase							:			Union[str, Any]     =						self.get_tokenizer(bos_token="""(BOS)"""	,   eos_token="""(EOS)"""      )
        __UpperCAmelCase							:			Union[str, Any]     =						self.get_image_processor(do_normalize=__lowercase	,   padding_value=1.0      )

        __UpperCAmelCase							:			List[str]     =						PixaStructProcessor.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 			UpperCAmelCase   (   self      :    Optional[int]      )							->   List[Any]:
        __UpperCAmelCase							:			Optional[Any]     =						self.get_image_processor()
        __UpperCAmelCase							:			int     =						self.get_tokenizer()

        __UpperCAmelCase							:			Dict     =						PixaStructProcessor(tokenizer=__lowercase	,   image_processor=__lowercase      )

        __UpperCAmelCase							:			str     =						self.prepare_image_inputs()

        __UpperCAmelCase							:			Any     =						image_processor(__lowercase	,   return_tensors="""np"""      )
        __UpperCAmelCase							:			str     =						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      )
      def 			UpperCAmelCase   (   self      :    Dict      )							->   Optional[Any]:
        __UpperCAmelCase							:			Tuple     =						self.get_image_processor()
        __UpperCAmelCase							:			Any     =						self.get_tokenizer()

        __UpperCAmelCase							:			int     =						PixaStructProcessor(tokenizer=__lowercase	,   image_processor=__lowercase      )

        __UpperCAmelCase							:			int     =						"""lower newer"""

        __UpperCAmelCase							:			str     =						processor(text=__lowercase      )

        __UpperCAmelCase							:			Any     =						tokenizer(__lowercase	,   return_token_type_ids=__lowercase	,   add_special_tokens=__lowercase      )

        for key in encoded_tok.keys():
          self.assertListEqual(encoded_tok[key]	,   encoded_processor[key]      )
      def 			UpperCAmelCase   (   self      :    List[Any]      )							->   Union[str, Any]:
        __UpperCAmelCase							:			Optional[Any]     =						self.get_image_processor()
        __UpperCAmelCase							:			Optional[Any]     =						self.get_tokenizer()

        __UpperCAmelCase							:			int     =						PixaStructProcessor(tokenizer=__lowercase	,   image_processor=__lowercase      )

        __UpperCAmelCase							:			Tuple     =						"""lower newer"""
        __UpperCAmelCase							:			Union[str, Any]     =						self.prepare_image_inputs()

        __UpperCAmelCase							:			List[str]     =						processor(text=__lowercase	,   images=__lowercase      )

        self.assertListEqual(
            list(inputs.keys()      )	,   ["""flattened_patches""", """attention_mask""", """decoder_attention_mask""", """decoder_input_ids"""]      )

        # test if it raises when no input is passed
        with pytest.raises(__lowercase      ):
          processor()
      def 			UpperCAmelCase   (   self      :    Any      )							->   int:
        __UpperCAmelCase							:			int     =						self.get_image_processor()
        __UpperCAmelCase							:			Union[str, Any]     =						self.get_tokenizer()

        __UpperCAmelCase							:			List[str]     =						PixaStructProcessor(tokenizer=__lowercase	,   image_processor=__lowercase      )

        __UpperCAmelCase							:			List[str]     =						"""lower newer"""
        __UpperCAmelCase							:			int     =						self.prepare_image_inputs()

        __UpperCAmelCase							:			int     =						processor(text=__lowercase	,   images=__lowercase      )

        __UpperCAmelCase							:			List[str]     =						[512, 1024, 2048, 4096]
        __UpperCAmelCase							:			Optional[int]     =						[770, 770, 770, 770]
        # with text
        for i, max_patch in enumerate(__lowercase      ):
          __UpperCAmelCase							:			List[str]     =						processor(text=__lowercase	,   images=__lowercase	,   max_patches=__lowercase      )
          self.assertEqual(inputs["""flattened_patches"""][0].shape[0]	,   __lowercase      )
          self.assertEqual(inputs["""flattened_patches"""][0].shape[1]	,   expected_hidden_size[i]      )

        # without text input
        for i, max_patch in enumerate(__lowercase      ):
          __UpperCAmelCase							:			Optional[int]     =						processor(images=__lowercase	,   max_patches=__lowercase      )
          self.assertEqual(inputs["""flattened_patches"""][0].shape[0]	,   __lowercase      )
          self.assertEqual(inputs["""flattened_patches"""][0].shape[1]	,   expected_hidden_size[i]      )
      def 			UpperCAmelCase   (   self      :    Optional[int]      )							->   Any:
        __UpperCAmelCase							:			Optional[Any]     =						self.get_image_processor()
        __UpperCAmelCase							:			List[str]     =						self.get_tokenizer()

        __UpperCAmelCase							:			Dict     =						PixaStructProcessor(tokenizer=__lowercase	,   image_processor=__lowercase      )

        __UpperCAmelCase							:			Tuple     =						[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

        __UpperCAmelCase							:			Tuple     =						processor.batch_decode(__lowercase      )
        __UpperCAmelCase							:			int     =						tokenizer.batch_decode(__lowercase      )

        self.assertListEqual(__lowercase	,   __lowercase      )




      def 			UpperCAmelCase   (   self      :    Any      )							->   Dict:
        __UpperCAmelCase							:			int     =						self.get_image_processor()
        __UpperCAmelCase							:			List[str]     =						self.get_tokenizer()

        __UpperCAmelCase							:			Any     =						PixaStructProcessor(tokenizer=__lowercase	,   image_processor=__lowercase      )

        __UpperCAmelCase							:			List[Any]     =						"""lower newer"""
        __UpperCAmelCase							:			int     =						self.prepare_image_inputs()

        __UpperCAmelCase							:			List[str]     =						processor(text=__lowercase	,   images=__lowercase      )

        # For now the processor supports only ["flattened_patches", "input_ids", "attention_mask", "decoder_attention_mask"]
        self.assertListEqual(
            list(inputs.keys()      )	,   ["""flattened_patches""", """attention_mask""", """decoder_attention_mask""", """decoder_input_ids"""]      )

        __UpperCAmelCase							:			Tuple     =						processor(text=__lowercase      )

        # For now the processor supports only ["flattened_patches", "input_ids", "attention_mask", "decoder_attention_mask"]
        self.assertListEqual(list(inputs.keys()      )	,   ["""input_ids""", """attention_mask"""]      )










# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from pathlib import Path

from .config_args import default_config_file, load_config_from_file
from .config_utils import SubcommandHelpFormatter


a	: Union[str, Any]      =				"Update an existing config file with the latest defaults while maintaining the old configuration."






def        lowerCamelCase__   (					__lowerCamelCase    :  str	):
  __UpperCAmelCase							:			Optional[Any]     =						args.config_file
  if config_file is None and Path(__lowerCamelCase	).exists():
    __UpperCAmelCase							:			int     =						default_config_file
  elif not Path(__lowerCamelCase	).exists():
    raise ValueError(f"""The passed config file located at {config_file} doesn't exist."""	)
  __UpperCAmelCase							:			Tuple     =						load_config_from_file(__lowerCamelCase	)

  if config_file.endswith(""".json"""	):
    config.to_json_file(__lowerCamelCase	)
  else:
    config.to_yaml_file(__lowerCamelCase	)
  return config_file






def        lowerCamelCase__   (					__lowerCamelCase    :  Dict						,	__lowerCamelCase    :  List[str]	):
  __UpperCAmelCase							:			List[str]     =						parser.add_parser("""update"""						,	parents=__lowerCamelCase						,	help=__lowerCamelCase						,	formatter_class=__lowerCamelCase	)
  parser.add_argument(
      """--config_file"""						,	default=__lowerCamelCase						,	help=(
          """The path to the config file to update. Will default to a file named default_config.yaml in the cache """
          """location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have """
          """such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed """
          """with 'huggingface'."""
      )						,	)

  parser.set_defaults(func=__lowerCamelCase	)
  return parser







def        lowerCamelCase__   (					__lowerCamelCase    :  Optional[int]	):
  __UpperCAmelCase							:			Optional[Any]     =						update_config(__lowerCamelCase	)
  print(f"""Sucessfully updated the configuration file at {config_file}."""	)


