






from __future__ import annotations

from PIL import Image

# Define glider example
__a   :							Tuple						= [
    [0, 1, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0, 0],
    [1, 1, 1, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
]

# Define blinker example
__a   :							Optional[Any]						= [[0, 1, 0], [0, 1, 0], [0, 1, 0]]



def       _SCREAMING_SNAKE_CASE    (			__lowercase :      list[list[int]]     )    ->   list[list[int]]:





    """simple docstring"""

    __A       =						[]
    for i in range(len(__lowercase     )     ):
        __A       =						[]
        for j in range(len(cells[i]     )     ):
            # Get the number of live neighbours
            __A       =						0
            if i > 0 and j > 0:
                neighbour_count += cells[i - 1][j - 1]
            if i > 0:
                neighbour_count += cells[i - 1][j]
            if i > 0 and j < len(cells[i]     ) - 1:
                neighbour_count += cells[i - 1][j + 1]
            if j > 0:
                neighbour_count += cells[i][j - 1]
            if j < len(cells[i]     ) - 1:
                neighbour_count += cells[i][j + 1]
            if i < len(__lowercase     ) - 1 and j > 0:
                neighbour_count += cells[i + 1][j - 1]
            if i < len(__lowercase     ) - 1:
                neighbour_count += cells[i + 1][j]
            if i < len(__lowercase     ) - 1 and j < len(cells[i]     ) - 1:
                neighbour_count += cells[i + 1][j + 1]

            # Rules of the game of life (excerpt from Wikipedia):
            # 1. Any live cell with two or three live neighbours survives.
            # 2. Any dead cell with three live neighbours becomes a live cell.
            # 3. All other live cells die in the next generation.
            #    Similarly, all other dead cells stay dead.
            __A       =						cells[i][j] == 1
            if (
                (alive and 2 <= neighbour_count <= 3)
                or not alive
                and neighbour_count == 3
            ):
                next_generation_row.append(1     )
            else:
                next_generation_row.append(0     )

        next_generation.append(__lowercase     )
    return next_generation



def       _SCREAMING_SNAKE_CASE    (			__lowercase :      list[list[int]]      ,					__lowercase :      int     )    ->   list[Image.Image]:





    """simple docstring"""

    __A       =						[]
    for _ in range(__lowercase     ):
        # Create output image
        __A       =						Image.new("""RGB"""      ,					(len(cells[0]     ), len(__lowercase     ))     )
        __A       =						img.load()

        # Save cells to image
        for x in range(len(__lowercase     )     ):
            for y in range(len(cells[0]     )     ):
                __A       =						2_5_5 - cells[y][x] * 2_5_5
                __A       =						(colour, colour, colour)

        # Save image
        images.append(__lowercase     )
        __A       =						new_generation(__lowercase     )
    return images


if __name__ == "__main__":
  __a   :							Optional[int]						= generate_images(GLIDER, 16)
  images[0].save("out.gif", save_all=True, append_images=images[1:])












import argparse
import os
import re

import packaging.version


__a   :							Tuple						= "examples/"
__a   :							Any						= {
    "examples": (re.compile(R"^check_min_version\(\"[^\"]+\"\)\s*$", re.MULTILINE), "check_min_version(\"VERSION\")\n"),
    "init": (re.compile(R"^__version__\s+=\s+\"([^\"]+)\"\s*$", re.MULTILINE), "__version__ = \"VERSION\"\n"),
    "setup": (re.compile(R"^(\s*)version\s*=\s*\"[^\"]+\",", re.MULTILINE), R"\1version=\"VERSION\","),
    "doc": (re.compile(R"^(\s*)release\s*=\s*\"[^\"]+\"$", re.MULTILINE), "release = \"VERSION\"\n"),
}
__a   :							Tuple						= {
    "init": "src/transformers/__init__.py",
    "setup": "setup.py",
}
__a   :							List[str]						= "README.md"



def       _SCREAMING_SNAKE_CASE    (			__lowercase :      str      ,					__lowercase :      List[str]      ,					__lowercase :      Optional[Any]     )    ->   List[Any]:





    """simple docstring"""

    with open(__lowercase      ,					"""r"""      ,					encoding="""utf-8"""      ,					newline="""\n"""     ) as f:
        __A       =						f.read()
    __A     ,						__A       =						REPLACE_PATTERNS[pattern]
    __A       =						replace.replace("""VERSION"""      ,					__lowercase     )
    __A       =						re_pattern.sub(__lowercase      ,					__lowercase     )
    with open(__lowercase      ,					"""w"""      ,					encoding="""utf-8"""      ,					newline="""\n"""     ) as f:
        f.write(__lowercase     )



def       _SCREAMING_SNAKE_CASE    (			__lowercase :      List[str]     )    ->   Dict:





    """simple docstring"""

    for folder, directories, fnames in os.walk(__lowercase     ):
        # Removing some of the folders with non-actively maintained examples from the walk
        if "research_projects" in directories:
            directories.remove("""research_projects"""     )
        if "legacy" in directories:
            directories.remove("""legacy"""     )
        for fname in fnames:
            if fname.endswith(""".py"""     ):
                update_version_in_file(os.path.join(__lowercase      ,					__lowercase     )      ,					__lowercase      ,					pattern="""examples"""     )



def       _SCREAMING_SNAKE_CASE    (			__lowercase :      Any      ,					__lowercase :      Optional[int]=False     )    ->   Dict:





    """simple docstring"""

    for pattern, fname in REPLACE_FILES.items():
        update_version_in_file(__lowercase      ,					__lowercase      ,					__lowercase     )
    if not patch:
        update_version_in_examples(__lowercase     )



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





    """simple docstring"""

    __A       =						"""🤗 Transformers currently provides the following architectures"""
    __A       =						"""1. Want to contribute a new model?"""
    with open(__lowercase      ,					"""r"""      ,					encoding="""utf-8"""      ,					newline="""\n"""     ) as f:
        __A       =						f.readlines()

    # Find the start of the list.
    __A       =						0
    while not lines[start_index].startswith(_start_prompt     ):
        start_index += 1
    start_index += 1

    __A       =						start_index
    # Update the lines in the model list.
    while not lines[index].startswith(_end_prompt     ):
        if lines[index].startswith("""1."""     ):
            __A       =						lines[index].replace(
                """https://huggingface.co/docs/transformers/main/model_doc"""      ,					"""https://huggingface.co/docs/transformers/model_doc"""      ,					)
        index += 1

    with open(__lowercase      ,					"""w"""      ,					encoding="""utf-8"""      ,					newline="""\n"""     ) as f:
        f.writelines(__lowercase     )



def       _SCREAMING_SNAKE_CASE    (			)    ->   Dict:





    """simple docstring"""

    with open(REPLACE_FILES["""init"""]      ,					"""r"""     ) as f:
        __A       =						f.read()
    __A       =						REPLACE_PATTERNS["""init"""][0].search(__lowercase     ).groups()[0]
    return packaging.version.parse(__lowercase     )



def       _SCREAMING_SNAKE_CASE    (			__lowercase :      str=False     )    ->   Optional[Any]:





    """simple docstring"""

    __A       =						get_version()
    if patch and default_version.is_devrelease:
        raise ValueError("""Can't create a patch version from the dev branch, checkout a released version!"""     )
    if default_version.is_devrelease:
        __A       =						default_version.base_version
    elif patch:
        __A       =						f"{default_version.major}.{default_version.minor}.{default_version.micro + 1}"
    else:
        __A       =						f"{default_version.major}.{default_version.minor + 1}.0"

    # Now let's ask nicely if that's the right one.
    __A       =						input(f"Which version are you releasing? [{default_version}]"     )
    if len(__lowercase     ) == 0:
        __A       =						default_version

    print(f"Updating version to {version}."     )
    global_version_update(__lowercase      ,					patch=__lowercase     )
    if not patch:
        print("""Cleaning main README, don't forget to run `make fix-copies`."""     )
        clean_main_ref_in_model_list()



def       _SCREAMING_SNAKE_CASE    (			)    ->   List[str]:





    """simple docstring"""

    __A       =						get_version()
    __A       =						f"{current_version.major}.{current_version.minor + 1}.0.dev0"
    __A       =						current_version.base_version

    # Check with the user we got that right.
    __A       =						input(f"Which version are we developing now? [{dev_version}]"     )
    if len(__lowercase     ) == 0:
        __A       =						dev_version

    print(f"Updating version to {version}."     )
    global_version_update(__lowercase     )
    print("""Cleaning main README, don't forget to run `make fix-copies`."""     )
    clean_main_ref_in_model_list()


if __name__ == "__main__":
  __a   :							str						= argparse.ArgumentParser()
  parser.add_argument("--post_release", action="store_true", help="Whether this is pre or post release.")
  parser.add_argument("--patch", action="store_true", help="Whether or not this is a patch release.")
  __a   :							Union[str, Any]						= parser.parse_args()
  if not args.post_release:
    pre_release_work(patch=args.patch)
  elif args.patch:
    print("Nothing to do after a patch :-)")
  else:
    post_release_work()




