


'''simple docstring'''



# Lint as: python3
import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


A__						:   Union[str, Any]				=    get_logger(__name__)





class   UpperCAmelCase_    :





    """simple docstring"""






    lowerCamelCase    :   int					=     'dummy_data'
    lowerCamelCase    :   Tuple					=     'datasets'
    lowerCamelCase    :   Union[str, Any]					=     False







    def __init__(				self     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_ = None     ,	SCREAMING_SNAKE_CASE_ = False     ,	SCREAMING_SNAKE_CASE_ = True     ,	SCREAMING_SNAKE_CASE_ = None     ,	)							->	str:
         __lowerCamelCase  :      Optional[Any]														=						0
         __lowerCamelCase  :      List[str]														=						dataset_name
         __lowerCamelCase  :      Any														=						cache_dir
         __lowerCamelCase  :      List[str]														=						use_local_dummy_data
         __lowerCamelCase  :      Any														=						config
         # download_callbacks take a single url as input
         __lowerCamelCase  :      List[Callable]														=						download_callbacks or []
         # if False, it doesn't load existing files and it returns the paths of the dummy files relative
         # to the dummy_data zip file root
         __lowerCamelCase  :      Any														=						load_existing_dummy_data

         # TODO(PVP, QL) might need to make this more general
         __lowerCamelCase  :      List[Any]														=						str(SCREAMING_SNAKE_CASE_      )
         # to be downloaded
         __lowerCamelCase  :      int														=						None
         __lowerCamelCase  :      List[Any]														=						None







    @property
    def  lowercase_							(				self      )							->	Union[str, Any]:
         if self._dummy_file is None:
              __lowerCamelCase  :      Dict														=						self.download_dummy_data()
         return self._dummy_file







    @property
    def  lowercase_							(				self      )							->	int:
         if self.config is not None:
              # structure is dummy / config_name / version_name
              return os.path.join('dummy'     ,	self.config.name     ,	self.version_name      )
         # structure is dummy / version_name
         return os.path.join('dummy'     ,	self.version_name      )







    @property
    def  lowercase_							(				self      )							->	Any:
         return os.path.join(self.dummy_data_folder     ,	'dummy_data.zip'      )







    def  lowercase_							(				self      )							->	Any:
         __lowerCamelCase  :      int														=						(
             self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
         )

         __lowerCamelCase  :      Union[str, Any]														=						cached_path(
             SCREAMING_SNAKE_CASE_     ,	cache_dir=self.cache_dir     ,	extract_compressed_file=SCREAMING_SNAKE_CASE_     ,	force_extract=SCREAMING_SNAKE_CASE_      )

         return os.path.join(SCREAMING_SNAKE_CASE_     ,	self.dummy_file_name      )







    @property
    def  lowercase_							(				self      )							->	List[Any]:
         return os.path.join(self.datasets_scripts_dir     ,	self.dataset_name     ,	self.dummy_zip_file      )







    @property
    def  lowercase_							(				self      )							->	Optional[Any]:
         if self._bucket_url is None:
              __lowerCamelCase  :      Dict														=						hf_github_url(self.dataset_name     ,	self.dummy_zip_file.replace(os.sep     ,	'/'      )      )
         return self._bucket_url







    @property
    def  lowercase_							(				self      )							->	str:
         # return full path if its a dir
         if os.path.isdir(self.dummy_file      ):
              return self.dummy_file
         # else cut off path to file -> example `xsum`.
         return "/".join(self.dummy_file.replace(os.sep     ,	'/'      ).split('/'      )[:-1]      )







    def  lowercase_							(				self     ,	SCREAMING_SNAKE_CASE_     ,	*SCREAMING_SNAKE_CASE_      )							->	List[str]:
         if self.load_existing_dummy_data:
              # dummy data is downloaded and tested
              __lowerCamelCase  :      Optional[Any]														=						self.dummy_file
         else:
              # dummy data cannot be downloaded and only the path to dummy file is returned
              __lowerCamelCase  :      Any														=						self.dummy_file_name

         # special case when data_url is a dict
         if isinstance(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      ):
              return self.create_dummy_data_dict(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      )
         elif isinstance(SCREAMING_SNAKE_CASE_     ,	(list, tuple)      ):
              return self.create_dummy_data_list(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      )
         else:
              return self.create_dummy_data_single(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      )







    def  lowercase_							(				self     ,	SCREAMING_SNAKE_CASE_     ,	*SCREAMING_SNAKE_CASE_      )							->	Any:
         return self.download_and_extract(SCREAMING_SNAKE_CASE_      )







    def  lowercase_							(				self     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      )							->	List[str]:
         return self.download_and_extract(SCREAMING_SNAKE_CASE_      )







    def  lowercase_							(				self     ,	SCREAMING_SNAKE_CASE_     ,	*SCREAMING_SNAKE_CASE_     ,	**SCREAMING_SNAKE_CASE_      )							->	List[Any]:
         return path







    def  lowercase_							(				self      )							->	List[str]:
         return {}







    def  lowercase_							(				self     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      )							->	Union[str, Any]:
         __lowerCamelCase  :      Optional[Any]														=						{}
         for key, single_urls in data_url.items():
              for download_callback in self.download_callbacks:
                   if isinstance(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      ):
                        for single_url in single_urls:
                             download_callback(SCREAMING_SNAKE_CASE_      )
                   else:
                        __lowerCamelCase  :      Union[str, Any]														=						single_urls
                        download_callback(SCREAMING_SNAKE_CASE_      )
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
              if isinstance(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      ):
                   __lowerCamelCase  :      int														=						[os.path.join(SCREAMING_SNAKE_CASE_     ,	urllib.parse.quote_plus(Path(SCREAMING_SNAKE_CASE_      ).name      )      ) for x in single_urls]
              else:
                   __lowerCamelCase  :      str														=						single_urls
                   __lowerCamelCase  :      Union[str, Any]														=						os.path.join(SCREAMING_SNAKE_CASE_     ,	urllib.parse.quote_plus(Path(SCREAMING_SNAKE_CASE_      ).name      )      )
              __lowerCamelCase  :      List[Any]														=						value

         # make sure that values are unique
         if all(isinstance(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      ) for i in dummy_data_dict.values()      ) and len(set(dummy_data_dict.values()      )      ) < len(
             dummy_data_dict.values()      ):
              # append key to value to make its name unique
              __lowerCamelCase  :      int														=						{key: value + key for key, value in dummy_data_dict.items()}

         return dummy_data_dict







    def  lowercase_							(				self     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      )							->	Any:
         __lowerCamelCase  :      Tuple														=						[]
         # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
         __lowerCamelCase  :      Optional[Any]														=						all(bool(re.findall('[0-9]{3,}-of-[0-9]{3,}'     ,	SCREAMING_SNAKE_CASE_      )      ) for url in data_url      )
         __lowerCamelCase  :      Dict														=						all(
             url.startswith('https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed'      ) for url in data_url      )
         if data_url and (is_tf_records or is_pubmed_records):
              __lowerCamelCase  :      Dict														=						[data_url[0]] * len(SCREAMING_SNAKE_CASE_      )
         for single_url in data_url:
              for download_callback in self.download_callbacks:
                   download_callback(SCREAMING_SNAKE_CASE_      )
              # we force the name of each key to be the last file / folder name of the url path
              # if the url has arguments, we need to encode them with urllib.parse.quote_plus
              __lowerCamelCase  :      str														=						os.path.join(SCREAMING_SNAKE_CASE_     ,	urllib.parse.quote_plus(single_url.split('/'      )[-1]      )      )
              dummy_data_list.append(SCREAMING_SNAKE_CASE_      )
         return dummy_data_list







    def  lowercase_							(				self     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      )							->	Optional[int]:
         for download_callback in self.download_callbacks:
              download_callback(SCREAMING_SNAKE_CASE_      )
         # we force the name of each key to be the last file / folder name of the url path
         # if the url has arguments, we need to encode them with urllib.parse.quote_plus
         __lowerCamelCase  :      Tuple														=						os.path.join(SCREAMING_SNAKE_CASE_     ,	urllib.parse.quote_plus(data_url.split('/'      )[-1]      )      )
         if os.path.exists(SCREAMING_SNAKE_CASE_      ) or not self.load_existing_dummy_data:
              return value
         else:
              # Backward compatibility, maybe deprecate at one point.
              # For many datasets with single url calls to dl_manager.download_and_extract,
              # the dummy_data.zip file is actually the zipped downloaded file
              # while now we expected the dummy_data.zip file to be a directory containing
              # the downloaded file.
              return path_to_dummy_data







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







    def  lowercase_							(				self      )							->	Tuple:
         pass







    def  lowercase_							(				self     ,	SCREAMING_SNAKE_CASE_      )							->	Tuple:
         def _iter_archive_members(SCREAMING_SNAKE_CASE_      ):
              # this preserves the order of the members inside the ZIP archive
              __lowerCamelCase  :      List[Any]														=						Path(self.dummy_file      ).parent
              __lowerCamelCase  :      str														=						path.relative_to(SCREAMING_SNAKE_CASE_      )
              with ZipFile(self.local_path_to_dummy_data      ) as zip_file:
                   __lowerCamelCase  :      Tuple														=						zip_file.namelist()
              for member in members:
                   if member.startswith(relative_path.as_posix()      ):
                        yield dummy_parent_path.joinpath(SCREAMING_SNAKE_CASE_      )

         __lowerCamelCase  :      str														=						Path(SCREAMING_SNAKE_CASE_      )
         __lowerCamelCase  :      Tuple														=						_iter_archive_members(SCREAMING_SNAKE_CASE_      ) if self.use_local_dummy_data else path.rglob('*'      )
         for file_path in file_paths:
              if file_path.is_file() and not file_path.name.startswith(('.', '__')      ):
                   yield file_path.relative_to(SCREAMING_SNAKE_CASE_      ).as_posix(), file_path.open('rb'      )







    def  lowercase_							(				self     ,	SCREAMING_SNAKE_CASE_      )							->	List[Any]:
         if not isinstance(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      ):
              __lowerCamelCase  :      List[Any]														=						[paths]
         for path in paths:
              if os.path.isfile(SCREAMING_SNAKE_CASE_      ):
                   if os.path.basename(SCREAMING_SNAKE_CASE_      ).startswith(('.', '__')      ):
                        return
                   yield path
              else:
                   for dirpath, dirnames, filenames in os.walk(SCREAMING_SNAKE_CASE_      ):
                        if os.path.basename(SCREAMING_SNAKE_CASE_      ).startswith(('.', '__')      ):
                             continue
                        dirnames.sort()
                        for filename in sorted(SCREAMING_SNAKE_CASE_      ):
                             if filename.startswith(('.', '__')      ):
                                  continue
                             yield os.path.join(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      )










'''simple docstring'''



import flax.linen as nn
import jax
import jax.numpy as jnp





class   UpperCAmelCase_    (nn.Module    ):





    """simple docstring"""






    lowerCamelCase    :   int
    lowerCamelCase    :   jnp.dtype					=     jnp.floataa







    def  lowercase_							(				self      )							->	Union[str, Any]:
         __lowerCamelCase  :      Optional[Any]														=						nn.Conv(
             self.out_channels     ,	kernel_size=(3, 3)     ,	strides=(1, 1)     ,	padding=((1, 1), (1, 1))     ,	dtype=self.dtype     ,	)







    def __call__(				self     ,	SCREAMING_SNAKE_CASE_      )							->	Any:
         __lowerCamelCase							,			__lowerCamelCase							,			__lowerCamelCase							,			__lowerCamelCase  :      Optional[int]														=						hidden_states.shape
         __lowerCamelCase  :      Dict														=						jax.image.resize(
             SCREAMING_SNAKE_CASE_     ,	shape=(batch, height * 2, width * 2, channels)     ,	method='nearest'     ,	)
         __lowerCamelCase  :      Optional[Any]														=						self.conv(SCREAMING_SNAKE_CASE_      )
         return hidden_states







class   UpperCAmelCase_    (nn.Module    ):





    """simple docstring"""






    lowerCamelCase    :   int
    lowerCamelCase    :   jnp.dtype					=     jnp.floataa







    def  lowercase_							(				self      )							->	List[str]:
         __lowerCamelCase  :      str														=						nn.Conv(
             self.out_channels     ,	kernel_size=(3, 3)     ,	strides=(2, 2)     ,	padding=((1, 1), (1, 1))     ,	dtype=self.dtype     ,	)







    def __call__(				self     ,	SCREAMING_SNAKE_CASE_      )							->	List[str]:
         # pad = ((0, 0), (0, 1), (0, 1), (0, 0))  # pad height and width dim
         # hidden_states = jnp.pad(hidden_states, pad_width=pad)
         __lowerCamelCase  :      str														=						self.conv(SCREAMING_SNAKE_CASE_      )
         return hidden_states







class   UpperCAmelCase_    (nn.Module    ):





    """simple docstring"""






    lowerCamelCase    :   int
    lowerCamelCase    :   int					=     None
    lowerCamelCase    :   float					=     0.0
    lowerCamelCase    :   bool					=     None
    lowerCamelCase    :   jnp.dtype					=     jnp.floataa







    def  lowercase_							(				self      )							->	Optional[int]:
         __lowerCamelCase  :      Optional[Any]														=						self.in_channels if self.out_channels is None else self.out_channels

         __lowerCamelCase  :      Optional[Any]														=						nn.GroupNorm(num_groups=32     ,	epsilon=1E-5      )
         __lowerCamelCase  :      Tuple														=						nn.Conv(
             SCREAMING_SNAKE_CASE_     ,	kernel_size=(3, 3)     ,	strides=(1, 1)     ,	padding=((1, 1), (1, 1))     ,	dtype=self.dtype     ,	)

         __lowerCamelCase  :      List[str]														=						nn.Dense(SCREAMING_SNAKE_CASE_     ,	dtype=self.dtype      )

         __lowerCamelCase  :      Dict														=						nn.GroupNorm(num_groups=32     ,	epsilon=1E-5      )
         __lowerCamelCase  :      int														=						nn.Dropout(self.dropout_prob      )
         __lowerCamelCase  :      Union[str, Any]														=						nn.Conv(
             SCREAMING_SNAKE_CASE_     ,	kernel_size=(3, 3)     ,	strides=(1, 1)     ,	padding=((1, 1), (1, 1))     ,	dtype=self.dtype     ,	)

         __lowerCamelCase  :      Optional[int]														=						self.in_channels != out_channels if self.use_nin_shortcut is None else self.use_nin_shortcut

         __lowerCamelCase  :      List[Any]														=						None
         if use_nin_shortcut:
              __lowerCamelCase  :      Any														=						nn.Conv(
                  SCREAMING_SNAKE_CASE_     ,	kernel_size=(1, 1)     ,	strides=(1, 1)     ,	padding='VALID'     ,	dtype=self.dtype     ,	)







    def __call__(				self     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_=True      )							->	Tuple:
         __lowerCamelCase  :      List[Any]														=						hidden_states
         __lowerCamelCase  :      str														=						self.norma(SCREAMING_SNAKE_CASE_      )
         __lowerCamelCase  :      Union[str, Any]														=						nn.swish(SCREAMING_SNAKE_CASE_      )
         __lowerCamelCase  :      Union[str, Any]														=						self.conva(SCREAMING_SNAKE_CASE_      )

         __lowerCamelCase  :      str														=						self.time_emb_proj(nn.swish(SCREAMING_SNAKE_CASE_      )      )
         __lowerCamelCase  :      List[str]														=						jnp.expand_dims(jnp.expand_dims(SCREAMING_SNAKE_CASE_     ,	1      )     ,	1      )
         __lowerCamelCase  :      Optional[int]														=						hidden_states + temb

         __lowerCamelCase  :      List[Any]														=						self.norma(SCREAMING_SNAKE_CASE_      )
         __lowerCamelCase  :      Any														=						nn.swish(SCREAMING_SNAKE_CASE_      )
         __lowerCamelCase  :      List[Any]														=						self.dropout(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      )
         __lowerCamelCase  :      List[Any]														=						self.conva(SCREAMING_SNAKE_CASE_      )

         if self.conv_shortcut is not None:
              __lowerCamelCase  :      List[str]														=						self.conv_shortcut(SCREAMING_SNAKE_CASE_      )

         return hidden_states + residual






