
"""simple docstring"""



# Lint as: python3
import sys
from collections.abc import Mapping
from typing import TYPE_CHECKING, Dict, Optional

import numpy as np
import pyarrow as pa

from .. import config
from ..utils.logging import get_logger
from ..utils.py_utils import map_nested
from .formatting import TensorFormatter


if TYPE_CHECKING:
 import jax
 import jaxlib

a					:	List[Any]							=		get_logger()

a					:	Optional[dict]							=		None




class 		a_						( TensorFormatter[Mapping, 'jax.Array', Mapping]	):







    def __init__(			self			:       int     ,					__UpperCamelCase			:       List[str]=None     ,					__UpperCamelCase			:       Optional[int]=None     ,					**__UpperCamelCase			:       int     )		->Tuple:






        '''simple docstring'''






        super().__init__(features=__UpperCamelCase     )
        import jax
        from jaxlib.xla_client import Device

        if isinstance(__UpperCamelCase     ,					__UpperCamelCase     ):
            raise ValueError(
                f"""Expected {device} to be a `str` not {type(__UpperCamelCase     )}, as `jaxlib.xla_extension.Device` """
                """is not serializable neither with `pickle` nor with `dill`. Instead you can surround """
                """the device with `str()` to get its string identifier that will be internally mapped """
                """to the actual `jaxlib.xla_extension.Device`."""     )
        _UpperCAmelCase          =   device if isinstance(__UpperCamelCase     ,					__UpperCamelCase     ) else str(jax.devices()[0]     )
        # using global variable since `jaxlib.xla_extension.Device` is not serializable neither
        # with `pickle` nor with `dill`, so we need to use a global variable instead
        global DEVICE_MAPPING
        if DEVICE_MAPPING is None:
            _UpperCAmelCase          =   self._map_devices_to_str()
        if self.device not in list(DEVICE_MAPPING.keys()     ):
            logger.warning(
                f"""Device with string identifier {self.device} not listed among the available """
                f"""devices: {list(DEVICE_MAPPING.keys()     )}, so falling back to the default """
                f"""device: {str(jax.devices()[0]     )}."""     )
            _UpperCAmelCase          =   str(jax.devices()[0]     )
        _UpperCAmelCase          =   jnp_array_kwargs







    @staticmethod
    def      _snake_case					(			)		->Dict[str, "jaxlib.xla_extension.Device"]:






        '''simple docstring'''






        import jax

        return {str(__UpperCamelCase     ): device for device in jax.devices()}







    def      _snake_case					(			self			:       Dict     ,					__UpperCamelCase			:       Any     )		->Union[str, Any]:






        '''simple docstring'''






        import jax
        import jax.numpy as jnp

        if isinstance(__UpperCamelCase     ,					__UpperCamelCase     ) and column:
            if all(
                isinstance(__UpperCamelCase     ,					jax.Array     ) and x.shape == column[0].shape and x.dtype == column[0].dtype for x in column     ):
                return jnp.stack(__UpperCamelCase     ,					axis=0     )
        return column







    def      _snake_case					(			self			:       List[str]     ,					__UpperCamelCase			:       Any     )		->Optional[int]:






        '''simple docstring'''






        import jax
        import jax.numpy as jnp

        if isinstance(__UpperCamelCase     ,					(str, bytes, type(__UpperCamelCase     ))     ):
            return value
        elif isinstance(__UpperCamelCase     ,					(np.character, np.ndarray)     ) and np.issubdtype(value.dtype     ,					np.character     ):
            return value.tolist()

        _UpperCAmelCase          =   {}

        if isinstance(__UpperCamelCase     ,					(np.number, np.ndarray)     ) and np.issubdtype(value.dtype     ,					np.integer     ):
            # the default int precision depends on the jax config
            # see https://jax.readthedocs.io/en/latest/notebooks/Common_Gotchas_in_JAX.html#double-64bit-precision
            if jax.config.jax_enable_xaa:
                _UpperCAmelCase          =   {"""dtype""": jnp.intaa}
            else:
                _UpperCAmelCase          =   {"""dtype""": jnp.intaa}
        elif isinstance(__UpperCamelCase     ,					(np.number, np.ndarray)     ) and np.issubdtype(value.dtype     ,					np.floating     ):
            _UpperCAmelCase          =   {"""dtype""": jnp.floataa}
        elif config.PIL_AVAILABLE and "PIL" in sys.modules:
            import PIL.Image

            if isinstance(__UpperCamelCase     ,					PIL.Image.Image     ):
                _UpperCAmelCase          =   np.asarray(__UpperCamelCase     )

        # using global variable since `jaxlib.xla_extension.Device` is not serializable neither
        # with `pickle` nor with `dill`, so we need to use a global variable instead
        global DEVICE_MAPPING
        if DEVICE_MAPPING is None:
            _UpperCAmelCase          =   self._map_devices_to_str()

        with jax.default_device(DEVICE_MAPPING[self.device]     ):
            # calling jnp.array on a np.ndarray does copy the data
            # see https://github.com/google/jax/issues/4486
            return jnp.array(__UpperCamelCase     ,					**{**default_dtype, **self.jnp_array_kwargs}     )







    def      _snake_case					(			self			:       Union[str, Any]     ,					__UpperCamelCase			:       List[str]     )		->Any:






        '''simple docstring'''






        import jax

        # support for torch, tf, jax etc.
        if config.TORCH_AVAILABLE and "torch" in sys.modules:
            import torch

            if isinstance(__UpperCamelCase     ,					torch.Tensor     ):
                return self._tensorize(data_struct.detach().cpu().numpy()[()]     )
        if hasattr(__UpperCamelCase     ,					"""__array__"""     ) and not isinstance(__UpperCamelCase     ,					jax.Array     ):
            _UpperCAmelCase          =   data_struct.__array__()
        # support for nested types like struct of list of struct
        if isinstance(__UpperCamelCase     ,					np.ndarray     ):
            if data_struct.dtype == object:  # jax arrays cannot be instantied from an array of objects
                return self._consolidate([self.recursive_tensorize(__UpperCamelCase     ) for substruct in data_struct]     )
        elif isinstance(__UpperCamelCase     ,					(list, tuple)     ):
            return self._consolidate([self.recursive_tensorize(__UpperCamelCase     ) for substruct in data_struct]     )
        return self._tensorize(__UpperCamelCase     )







    def      _snake_case					(			self			:       List[str]     ,					__UpperCamelCase			:       dict     )		->int:






        '''simple docstring'''






        return map_nested(self._recursive_tensorize     ,					__UpperCamelCase     ,					map_list=__UpperCamelCase     )







    def      _snake_case					(			self			:       Dict     ,					__UpperCamelCase			:       pa.Table     )		->Mapping:






        '''simple docstring'''






        _UpperCAmelCase          =   self.numpy_arrow_extractor().extract_row(__UpperCamelCase     )
        _UpperCAmelCase          =   self.python_features_decoder.decode_row(__UpperCamelCase     )
        return self.recursive_tensorize(__UpperCamelCase     )







    def      _snake_case					(			self			:       Optional[int]     ,					__UpperCamelCase			:       pa.Table     )		->"jax.Array":






        '''simple docstring'''






        _UpperCAmelCase          =   self.numpy_arrow_extractor().extract_column(__UpperCamelCase     )
        _UpperCAmelCase          =   self.python_features_decoder.decode_column(__UpperCamelCase     ,					pa_table.column_names[0]     )
        _UpperCAmelCase          =   self.recursive_tensorize(__UpperCamelCase     )
        _UpperCAmelCase          =   self._consolidate(__UpperCamelCase     )
        return column







    def      _snake_case					(			self			:       Optional[Any]     ,					__UpperCamelCase			:       pa.Table     )		->Mapping:






        '''simple docstring'''






        _UpperCAmelCase          =   self.numpy_arrow_extractor().extract_batch(__UpperCamelCase     )
        _UpperCAmelCase          =   self.python_features_decoder.decode_batch(__UpperCamelCase     )
        _UpperCAmelCase          =   self.recursive_tensorize(__UpperCamelCase     )
        for column_name in batch:
            _UpperCAmelCase          =   self._consolidate(batch[column_name]     )
        return batch

"""simple docstring"""



import argparse
import os
import re

import packaging.version


a					:	str							=		'''examples/'''
a					:	List[str]							=		{
    '''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/diffusers/__init__.py''',
    '''setup''': '''setup.py''',
}
a					:	List[str]							=		'''README.md'''


def  _UpperCamelCase	(						_A					,      _A					,      _A      )    ->  Dict:





    """simple docstring"""

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


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





    """simple docstring"""

    for folder, directories, fnames in os.walk(_A      ):
        # 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(_A					,      _A      )					,      _A					,      pattern="""examples"""      )


def  _UpperCamelCase	(						_A					,      _A=False      )    ->  int:





    """simple docstring"""

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


def  _UpperCamelCase	(						)    ->  Any:





    """simple docstring"""

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

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

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

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


def  _UpperCamelCase	(						)    ->  Optional[int]:





    """simple docstring"""

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


def  _UpperCamelCase	(						_A=False      )    ->  List[Any]:





    """simple docstring"""

    _UpperCAmelCase          =   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:
        _UpperCAmelCase          =   default_version.base_version
    elif patch:
        _UpperCAmelCase          =   F"""{default_version.major}.{default_version.minor}.{default_version.micro + 1}"""
    else:
        _UpperCAmelCase          =   F"""{default_version.major}.{default_version.minor + 1}.0"""

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

    print(F"""Updating version to {version}."""      )
    global_version_update(_A					,      patch=_A      )


def  _UpperCamelCase	(						)    ->  List[Any]:





    """simple docstring"""

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

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

    print(F"""Updating version to {version}."""      )
    global_version_update(_A      )


#    print("Cleaning main README, don't forget to run `make fix-copies`.")
#    clean_main_ref_in_model_list()


if __name__ == "__main__":
 a					:	Dict							=		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					:	Tuple							=		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()