


"""simple docstring"""



import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
  from PIL import Image

  from transformers import AutoProcessor, BertTokenizer, BlipImageProcessor, BlipProcessor, PreTrainedTokenizerFast







@require_vision
class _lowerCAmelCase       (   unittest.TestCase			):







   def 				lowerCamelCase	(			self		)			->	Union[str, Any]:

       '''simple docstring'''




       snake_case					:   int         =					tempfile.mkdtemp()

       snake_case					:   Union[str, Any]         =					BlipImageProcessor()
       snake_case					:   int         =					BertTokenizer.from_pretrained("hf-internal-testing/tiny-random-BertModel"		)

       snake_case					:   int         =					BlipProcessor(UpperCamelCase__		,			UpperCamelCase__		)

       processor.save_pretrained(self.tmpdirname		)







   def 				lowerCamelCase	(			self		,			**UpperCamelCase__		)			->	Tuple:

       '''simple docstring'''




       return AutoProcessor.from_pretrained(self.tmpdirname		,			**UpperCamelCase__		).tokenizer







   def 				lowerCamelCase	(			self		,			**UpperCamelCase__		)			->	str:

       '''simple docstring'''




       return AutoProcessor.from_pretrained(self.tmpdirname		,			**UpperCamelCase__		).image_processor







   def 				lowerCamelCase	(			self		)			->	Any:

       '''simple docstring'''




       shutil.rmtree(self.tmpdirname		)







   def 				lowerCamelCase	(			self		)			->	str:

       '''simple docstring'''




       snake_case					:   Union[str, Any]         =					[np.random.randint(255		,			size=(3, 30, 400)		,			dtype=np.uinta		)]

       snake_case					:   List[Any]         =					[Image.fromarray(np.moveaxis(UpperCamelCase__		,			0		,			-1		)		) for x in image_inputs]

       return image_inputs







   def 				lowerCamelCase	(			self		)			->	List[Any]:

       '''simple docstring'''




       snake_case					:   List[Any]         =					BlipProcessor(tokenizer=self.get_tokenizer()		,			image_processor=self.get_image_processor()		)
       processor.save_pretrained(self.tmpdirname		)

       snake_case					:   str         =					self.get_tokenizer(bos_token="(BOS)"		,			eos_token="(EOS)"		)
       snake_case					:   Tuple         =					self.get_image_processor(do_normalize=UpperCamelCase__		,			padding_value=1.0		)

       snake_case					:   Optional[int]         =					BlipProcessor.from_pretrained(
           self.tmpdirname		,			bos_token="(BOS)"		,			eos_token="(EOS)"		,			do_normalize=UpperCamelCase__		,			padding_value=1.0		)

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

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







   def 				lowerCamelCase	(			self		)			->	Any:

       '''simple docstring'''




       snake_case					:   Optional[Any]         =					self.get_image_processor()
       snake_case					:   List[str]         =					self.get_tokenizer()

       snake_case					:   List[Any]         =					BlipProcessor(tokenizer=UpperCamelCase__		,			image_processor=UpperCamelCase__		)

       snake_case					:   Union[str, Any]         =					self.prepare_image_inputs()

       snake_case					:   int         =					image_processor(UpperCamelCase__		,			return_tensors="np"		)
       snake_case					:   Tuple         =					processor(images=UpperCamelCase__		,			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 				lowerCamelCase	(			self		)			->	Union[str, Any]:

       '''simple docstring'''




       snake_case					:   Union[str, Any]         =					self.get_image_processor()
       snake_case					:   str         =					self.get_tokenizer()

       snake_case					:   List[str]         =					BlipProcessor(tokenizer=UpperCamelCase__		,			image_processor=UpperCamelCase__		)

       snake_case					:   Tuple         =					"lower newer"

       snake_case					:   Union[str, Any]         =					processor(text=UpperCamelCase__		)

       snake_case					:   str         =					tokenizer(UpperCamelCase__		,			return_token_type_ids=UpperCamelCase__		)

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







   def 				lowerCamelCase	(			self		)			->	Union[str, Any]:

       '''simple docstring'''




       snake_case					:   Dict         =					self.get_image_processor()
       snake_case					:   Any         =					self.get_tokenizer()

       snake_case					:   str         =					BlipProcessor(tokenizer=UpperCamelCase__		,			image_processor=UpperCamelCase__		)

       snake_case					:   Any         =					"lower newer"
       snake_case					:   Optional[int]         =					self.prepare_image_inputs()

       snake_case					:   Dict         =					processor(text=UpperCamelCase__		,			images=UpperCamelCase__		)

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

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







   def 				lowerCamelCase	(			self		)			->	Any:

       '''simple docstring'''




       snake_case					:   Optional[Any]         =					self.get_image_processor()
       snake_case					:   Optional[int]         =					self.get_tokenizer()

       snake_case					:   Any         =					BlipProcessor(tokenizer=UpperCamelCase__		,			image_processor=UpperCamelCase__		)

       snake_case					:   List[Any]         =					[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

       snake_case					:   List[str]         =					processor.batch_decode(UpperCamelCase__		)
       snake_case					:   List[str]         =					tokenizer.batch_decode(UpperCamelCase__		)

       self.assertListEqual(UpperCamelCase__		,			UpperCamelCase__		)







   def 				lowerCamelCase	(			self		)			->	Union[str, Any]:

       '''simple docstring'''




       snake_case					:   List[Any]         =					self.get_image_processor()
       snake_case					:   List[Any]         =					self.get_tokenizer()

       snake_case					:   str         =					BlipProcessor(tokenizer=UpperCamelCase__		,			image_processor=UpperCamelCase__		)

       snake_case					:   str         =					"lower newer"
       snake_case					:   Optional[int]         =					self.prepare_image_inputs()

       snake_case					:   Optional[int]         =					processor(text=UpperCamelCase__		,			images=UpperCamelCase__		)

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









"""simple docstring"""



import argparse
import glob
import importlib.util
import os
import re

import black
from doc_builder.style_doc import style_docstrings_in_code


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
__snake_case         =					"""src/diffusers"""
__snake_case         =					"""."""


# This is to make sure the diffusers module imported is the one in the repo.
__snake_case         =					importlib.util.spec_from_file_location(
    """diffusers""",
    os.path.join(DIFFUSERS_PATH, """__init__.py"""),
    submodule_search_locations=[DIFFUSERS_PATH],
)
__snake_case         =					spec.loader.load_module()







def 						__lowerCAmelCase		(		lowercase						:						List[str]		,							lowercase						:						Optional[int]				)			->		Union[str, Any]:


    """simple docstring"""





    return line.startswith(lowercase				) or len(lowercase				) <= 1 or re.search(R"^\s*\)(\s*->.*:|:)\s*$"		,							lowercase				) is not None







def 						__lowerCAmelCase		(		lowercase						:						List[Any]				)			->		Union[str, Any]:


    """simple docstring"""





    snake_case					:   Any         =					object_name.split("."				)
    snake_case					:   Dict         =					0

    # First let's find the module where our object lives.
    snake_case					:   Optional[Any]         =					parts[i]
    while i < len(lowercase				) and not os.path.isfile(os.path.join(lowercase		,							F'{module}.py'				)				):
        i += 1
        if i < len(lowercase				):
            snake_case					:   List[Any]         =					os.path.join(lowercase		,							parts[i]				)
    if i >= len(lowercase				):
        raise ValueError(F'`object_name` should begin with the name of a module of diffusers but got {object_name}.'				)

    with open(os.path.join(lowercase		,							F'{module}.py'				)		,							"r"		,							encoding="utf-8"		,							newline="\n"				) as f:
        snake_case					:   str         =					f.readlines()

    # Now let's find the class / func in the code!
    snake_case					:   List[str]         =					""
    snake_case					:   Optional[Any]         =					0
    for name in parts[i + 1 :]:
        while (
            line_index < len(lowercase				) and re.search(RF'^{indent}(class|def)\s+{name}(\(|\:)'		,							lines[line_index]				) is None
        ):
            line_index += 1
        indent += "    "
        line_index += 1

    if line_index >= len(lowercase				):
        raise ValueError(F' {object_name} does not match any function or class in {module}.'				)

    # We found the beginning of the class / func, now let's find the end (when the indent diminishes).
    snake_case					:   Union[str, Any]         =					line_index
    while line_index < len(lowercase				) and _should_continue(lines[line_index]		,							lowercase				):
        line_index += 1
    # Clean up empty lines at the end (if any).
    while len(lines[line_index - 1]				) <= 1:
        line_index -= 1

    snake_case					:   Tuple         =					lines[start_index:line_index]
    return "".join(lowercase				)


__snake_case         =					re.compile(R"""^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)""")
__snake_case         =					re.compile(R"""^\s*(\S+)->(\S+)(\s+.*|$)""")
__snake_case         =					re.compile(R"""<FILL\s+[^>]*>""")







def 						__lowerCAmelCase		(		lowercase						:						Optional[int]				)			->		Dict:


    """simple docstring"""





    snake_case					:   List[str]         =					code.split("\n"				)
    snake_case					:   Tuple         =					0
    while idx < len(lowercase				) and len(lines[idx]				) == 0:
        idx += 1
    if idx < len(lowercase				):
        return re.search(R"^(\s*)\S"		,							lines[idx]				).groups()[0]
    return ""







def 						__lowerCAmelCase		(		lowercase						:						Any				)			->		Optional[int]:


    """simple docstring"""





    snake_case					:   Optional[int]         =					len(get_indent(lowercase				)				) > 0
    if has_indent:
        snake_case					:   List[Any]         =					F'class Bla:\n{code}'
    snake_case					:   List[Any]         =					black.Mode(target_versions={black.TargetVersion.PYaa}		,							line_length=119		,							preview=lowercase				)
    snake_case					:   str         =					black.format_str(lowercase		,							mode=lowercase				)
    snake_case      ,snake_case					:   int         =					style_docstrings_in_code(lowercase				)
    return result[len("class Bla:\n"				) :] if has_indent else result







def 						__lowerCAmelCase		(		lowercase						:						Dict		,							lowercase						:						List[Any]=False				)			->		Dict:


    """simple docstring"""





    with open(lowercase		,							"r"		,							encoding="utf-8"		,							newline="\n"				) as f:
        snake_case					:   str         =					f.readlines()
    snake_case					:   Optional[int]         =					[]
    snake_case					:   List[Any]         =					0
    # Not a for loop cause `lines` is going to change (if `overwrite=True`).
    while line_index < len(lowercase				):
        snake_case					:   List[Any]         =					_re_copy_warning.search(lines[line_index]				)
        if search is None:
            line_index += 1
            continue

        # There is some copied code here, let's retrieve the original.
        snake_case      ,snake_case      ,snake_case					:   List[str]         =					search.groups()
        snake_case					:   List[Any]         =					find_code_in_diffusers(lowercase				)
        snake_case					:   Dict         =					get_indent(lowercase				)

        snake_case					:   Union[str, Any]         =					line_index + 1 if indent == theoretical_indent else line_index + 2
        snake_case					:   Any         =					theoretical_indent
        snake_case					:   Optional[int]         =					start_index

        # Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
        snake_case					:   Dict         =					True
        while line_index < len(lowercase				) and should_continue:
            line_index += 1
            if line_index >= len(lowercase				):
                break
            snake_case					:   int         =					lines[line_index]
            snake_case					:   Tuple         =					_should_continue(lowercase		,							lowercase				) and re.search(F'^{indent}# End copy'		,							lowercase				) is None
        # Clean up empty lines at the end (if any).
        while len(lines[line_index - 1]				) <= 1:
            line_index -= 1

        snake_case					:   Optional[int]         =					lines[start_index:line_index]
        snake_case					:   List[Any]         =					"".join(lowercase				)

        # Remove any nested `Copied from` comments to avoid circular copies
        snake_case					:   List[str]         =					[line for line in theoretical_code.split("\n"				) if _re_copy_warning.search(lowercase				) is None]
        snake_case					:   Optional[int]         =					"\n".join(lowercase				)

        # Before comparing, use the `replace_pattern` on the original code.
        if len(lowercase				) > 0:
            snake_case					:   List[str]         =					replace_pattern.replace("with"		,							""				).split(","				)
            snake_case					:   Union[str, Any]         =					[_re_replace_pattern.search(lowercase				) for p in patterns]
            for pattern in patterns:
                if pattern is None:
                    continue
                snake_case      ,snake_case      ,snake_case					:   str         =					pattern.groups()
                snake_case					:   Any         =					re.sub(lowercase		,							lowercase		,							lowercase				)
                if option.strip() == "all-casing":
                    snake_case					:   int         =					re.sub(obja.lower()		,							obja.lower()		,							lowercase				)
                    snake_case					:   Optional[int]         =					re.sub(obja.upper()		,							obja.upper()		,							lowercase				)

            # Blackify after replacement. To be able to do that, we need the header (class or function definition)
            # from the previous line
            snake_case					:   Tuple         =					blackify(lines[start_index - 1] + theoretical_code				)
            snake_case					:   Any         =					theoretical_code[len(lines[start_index - 1]				) :]

        # Test for a diff and act accordingly.
        if observed_code != theoretical_code:
            diffs.append([object_name, start_index]				)
            if overwrite:
                snake_case					:   Any         =					lines[:start_index] + [theoretical_code] + lines[line_index:]
                snake_case					:   Tuple         =					start_index + 1

    if overwrite and len(lowercase				) > 0:
        # Warn the user a file has been modified.
        print(F'Detected changes, rewriting {filename}.'				)
        with open(lowercase		,							"w"		,							encoding="utf-8"		,							newline="\n"				) as f:
            f.writelines(lowercase				)
    return diffs







def 						__lowerCAmelCase		(		lowercase						:						bool = False				)			->		Optional[Any]:


    """simple docstring"""





    snake_case					:   str         =					glob.glob(os.path.join(lowercase		,							"**/*.py"				)		,							recursive=lowercase				)
    snake_case					:   List[str]         =					[]
    for filename in all_files:
        snake_case					:   List[str]         =					is_copy_consistent(lowercase		,							lowercase				)
        diffs += [F'- {filename}: copy does not match {d[0]} at line {d[1]}' for d in new_diffs]
    if not overwrite and len(lowercase				) > 0:
        snake_case					:   List[str]         =					"\n".join(lowercase				)
        raise Exception(
            "Found the following copy inconsistencies:\n"
            + diff
            + "\nRun `make fix-copies` or `python utils/check_copies.py --fix_and_overwrite` to fix them."				)


if __name__ == "__main__":
  __snake_case         =					argparse.ArgumentParser()
  parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
  __snake_case         =					parser.parse_args()

  check_copies(args.fix_and_overwrite)





