

import importlib
import os

import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry

from datasets.filesystems import COMPRESSION_FILESYSTEMS, HfFileSystem, extract_path_from_uri, is_remote_filesystem

from .utils import require_lza, require_zstandard


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__			):
						assert "mock" in _fsspec_registry
						assert "bz2" in _fsspec_registry


def     __SCREAMING_SNAKE_CASE   ():
						assert "mock" not in _fsspec_registry
						assert "bz2" in _fsspec_registry


def     __SCREAMING_SNAKE_CASE   ():
						snake_case_  =      '''mock-s3-bucket'''
						snake_case_  =      F'''s3://{mock_bucket}'''
						snake_case_  =      extract_path_from_uri(SCREAMING_SNAKE_CASE__			)
						assert dataset_path.startswith('''s3://'''			) is False

						snake_case_  =      '''./local/path'''
						snake_case_  =      extract_path_from_uri(SCREAMING_SNAKE_CASE__			)
						assert dataset_path == new_dataset_path


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__			):
						snake_case_  =      is_remote_filesystem(SCREAMING_SNAKE_CASE__			)
						assert is_remote is True

						snake_case_  =      fsspec.filesystem('''file'''			)

						snake_case_  =      is_remote_filesystem(SCREAMING_SNAKE_CASE__			)
						assert is_remote is False


@pytest.mark.parametrize('''compression_fs_class'''    ,						SCREAMING_SNAKE_CASE__			)
def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						snake_case_  =      {'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_file, '''bz2''': bza_file, '''lz4''': lza_file}
						snake_case_  =      input_paths[compression_fs_class.protocol]
						if input_path is None:
												snake_case_  =      F'''for \'{compression_fs_class.protocol}\' compression protocol, '''
												if compression_fs_class.protocol == "lz4":
																		reason += require_lza.kwargs["reason"]
												elif compression_fs_class.protocol == "zstd":
																		reason += require_zstandard.kwargs["reason"]
												pytest.skip(SCREAMING_SNAKE_CASE__			)
						snake_case_  =      fsspec.filesystem(compression_fs_class.protocol    ,						fo=SCREAMING_SNAKE_CASE__			)
						assert isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			)
						snake_case_  =      os.path.basename(SCREAMING_SNAKE_CASE__			)
						snake_case_  =      expected_filename[: expected_filename.rindex('''.'''			)]
						assert fs.glob('''*'''			) == [expected_filename]
						with fs.open(SCREAMING_SNAKE_CASE__    ,						'''r'''    ,						encoding='''utf-8'''			) as f, open(SCREAMING_SNAKE_CASE__    ,						encoding='''utf-8'''			) as expected_file:
												assert f.read() == expected_file.read()


@pytest.mark.parametrize('''protocol'''    ,						['''zip''', '''gzip''']			)
def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						snake_case_  =      {'''zip''': zip_jsonl_path, '''gzip''': jsonl_gz_path}
						snake_case_  =      compressed_file_paths[protocol]
						snake_case_  =      '''dataset.jsonl'''
						snake_case_  =      F'''{protocol}://{member_file_path}::{compressed_file_path}'''
						snake_case_,       *snake_case_  =      fsspec.get_fs_token_paths(SCREAMING_SNAKE_CASE__			)
						assert fs.isfile(SCREAMING_SNAKE_CASE__			)
						assert not fs.isfile('''non_existing_''' + member_file_path			)


@pytest.mark.integration
def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						snake_case_  =      hf_api.dataset_info(SCREAMING_SNAKE_CASE__    ,						token=SCREAMING_SNAKE_CASE__			)
						snake_case_  =      HfFileSystem(repo_info=SCREAMING_SNAKE_CASE__    ,						token=SCREAMING_SNAKE_CASE__			)
						assert sorted(hffs.glob('''*'''			)			) == [".gitattributes", "data"]
						assert hffs.isdir('''data'''			)
						assert hffs.isfile('''.gitattributes'''			) and hffs.isfile('''data/text_data.txt'''			)
						with open(SCREAMING_SNAKE_CASE__			) as f:
												assert hffs.open('''data/text_data.txt'''    ,						'''r'''			).read() == f.read()


def     __SCREAMING_SNAKE_CASE   ():
						snake_case_  =      '''bz2'''

						# Import module
						import datasets.filesystems

						# Overwrite protocol and reload
						register_implementation(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						clobber=SCREAMING_SNAKE_CASE__			)
						with pytest.warns(SCREAMING_SNAKE_CASE__			) as warning_info:
												importlib.reload(datasets.filesystems			)

						assert len(SCREAMING_SNAKE_CASE__			) == 1
						assert (
						    str(warning_info[0].message			)
						    == F'''A filesystem protocol was already set for {protocol} and will be overwritten.'''
						)


import argparse

from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection

from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline


if __name__ == "__main__":
			a_      =     argparse.ArgumentParser()

			parser.add_argument('--dump_path', default=None, type=str, required=True, help='Path to the output model.')

			parser.add_argument(
			    '--txt2img_unclip',
			    default='kakaobrain/karlo-v1-alpha',
			    type=str,
			    required=False,
			    help='The pretrained txt2img unclip.',
			)

			a_      =     parser.parse_args()

			a_      =     UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

			a_      =     CLIPImageProcessor()
			a_      =     CLIPVisionModelWithProjection.from_pretrained('openai/clip-vit-large-patch14')

			a_      =     UnCLIPImageVariationPipeline(
			    decoder=txtaimg.decoder,
			    text_encoder=txtaimg.text_encoder,
			    tokenizer=txtaimg.tokenizer,
			    text_proj=txtaimg.text_proj,
			    feature_extractor=feature_extractor,
			    image_encoder=image_encoder,
			    super_res_first=txtaimg.super_res_first,
			    super_res_last=txtaimg.super_res_last,
			    decoder_scheduler=txtaimg.decoder_scheduler,
			    super_res_scheduler=txtaimg.super_res_scheduler,
			)

			imgaimg.save_pretrained(args.dump_path)