
'''simple docstring'''
import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


lowercase__						       =      '''http://www.mocksite.com/file1.txt'''
lowercase__						       =      '''"text": ["foo", "foo"]'''
lowercase__						       =      '''6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8'''






class 	snake_case__       :







		"""simple docstring"""

		lowerCamelCase     							=						200
		lowerCamelCase     							=						{'Content-Length': '100'}
		lowerCamelCase     							=						{}



		def       lowerCAmelCase				(      self				:			str  ,	**UpperCamelCase__				:			Optional[int]      )						->			Any:






				"""simple docstring"""







				return [bytes(_lowerCamelCase  ,	'''utf-8'''      )]







def    _UpperCamelCase						(       *SCREAMING_SNAKE_CASE__ ,       **SCREAMING_SNAKE_CASE__			)  ->							Any:


		'''simple docstring'''


		return MockResponse()




@pytest.mark.parametrize('''urls_type''' ,       [str, list, dict]			)
def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)  ->							List[Any]:


		'''simple docstring'''


		import requests

		monkeypatch.setattr(__snake_case ,       '''request''' ,       __snake_case			)

		snake_case  :       Any     			=						URL
		if issubclass(__snake_case ,       __snake_case			):
				snake_case  :       Union[str, Any]     			=						url
		elif issubclass(__snake_case ,       __snake_case			):
				snake_case  :       int     			=						[url]
		elif issubclass(__snake_case ,       __snake_case			):
				snake_case  :       Dict     			=						{'''train''': url}
		snake_case  :       Optional[int]     			=						'''dummy'''
		snake_case  :       List[Any]     			=						'''downloads'''
		snake_case  :       Optional[Any]     			=						tmp_path
		snake_case  :       Any     			=						DownloadConfig(
		    cache_dir=os.path.join(__snake_case ,       __snake_case			) ,       use_etag=__snake_case ,       )
		snake_case  :       Tuple     			=						DownloadManager(dataset_name=__snake_case ,       download_config=__snake_case			)
		snake_case  :       List[str]     			=						dl_manager.download(__snake_case			)
		snake_case  :       Dict     			=						urls
		for downloaded_paths in [downloaded_paths]:
				if isinstance(__snake_case ,       __snake_case			):
						snake_case  :       Union[str, Any]     			=						[downloaded_paths]
						snake_case  :       int     			=						[urls]
				elif isinstance(__snake_case ,       __snake_case			):
						assert "train" in downloaded_paths.keys()
						snake_case  :       Dict     			=						downloaded_paths.values()
						snake_case  :       List[Any]     			=						urls.values()
				assert downloaded_paths
				for downloaded_path, input_url in zip(__snake_case ,       __snake_case			):
						assert downloaded_path == dl_manager.downloaded_paths[input_url]
						snake_case  :       str     			=						Path(__snake_case			)
						snake_case  :       Any     			=						downloaded_path.parts
						assert parts[-1] == HASH
						assert parts[-2] == cache_subdir
						assert downloaded_path.exists()
						snake_case  :       Dict     			=						downloaded_path.read_text()
						assert content == CONTENT
						snake_case  :       Optional[Any]     			=						downloaded_path.with_suffix('''.json'''			)
						assert metadata_downloaded_path.exists()
						snake_case  :       Optional[Any]     			=						json.loads(metadata_downloaded_path.read_text()			)
						assert metadata_content == {"url": URL, "etag": None}




@pytest.mark.parametrize('''paths_type''' ,       [str, list, dict]			)
def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)  ->							List[str]:


		'''simple docstring'''


		snake_case  :       str     			=						str(__snake_case			)
		if issubclass(__snake_case ,       __snake_case			):
				snake_case  :       List[str]     			=						filename
		elif issubclass(__snake_case ,       __snake_case			):
				snake_case  :       Optional[Any]     			=						[filename]
		elif issubclass(__snake_case ,       __snake_case			):
				snake_case  :       Any     			=						{'''train''': filename}
		snake_case  :       Optional[Any]     			=						'''dummy'''
		snake_case  :       Tuple     			=						xz_file.parent
		snake_case  :       List[str]     			=						'''extracted'''
		snake_case  :       Any     			=						DownloadConfig(
		    cache_dir=__snake_case ,       use_etag=__snake_case ,       )
		snake_case  :       Union[str, Any]     			=						DownloadManager(dataset_name=__snake_case ,       download_config=__snake_case			)
		snake_case  :       List[str]     			=						dl_manager.extract(__snake_case			)
		snake_case  :       Union[str, Any]     			=						paths
		for extracted_paths in [extracted_paths]:
				if isinstance(__snake_case ,       __snake_case			):
						snake_case  :       str     			=						[extracted_paths]
						snake_case  :       int     			=						[paths]
				elif isinstance(__snake_case ,       __snake_case			):
						assert "train" in extracted_paths.keys()
						snake_case  :       List[Any]     			=						extracted_paths.values()
						snake_case  :       List[Any]     			=						paths.values()
				assert extracted_paths
				for extracted_path, input_path in zip(__snake_case ,       __snake_case			):
						assert extracted_path == dl_manager.extracted_paths[input_path]
						snake_case  :       Optional[Any]     			=						Path(__snake_case			)
						snake_case  :       Union[str, Any]     			=						extracted_path.parts
						assert parts[-1] == hash_url_to_filename(__snake_case ,       etag=__snake_case			)
						assert parts[-2] == extracted_subdir
						assert extracted_path.exists()
						snake_case  :       Optional[int]     			=						extracted_path.read_text()
						snake_case  :       Tuple     			=						text_file.read_text()
						assert extracted_file_content == expected_file_content




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)  ->							int:


		'''simple docstring'''


		assert path.endswith('''.jsonl'''			)
		for num_items, line in enumerate(__snake_case ,       start=1			):
				snake_case  :       Any     			=						json.loads(line.decode('''utf-8'''			)			)
				assert item.keys() == {"col_1", "col_2", "col_3"}
		assert num_items == 4




@pytest.mark.parametrize('''archive_jsonl''' ,       ['''tar_jsonl_path''', '''zip_jsonl_path''']			)
def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)  ->							Optional[int]:


		'''simple docstring'''


		snake_case  :       int     			=						request.getfixturevalue(__snake_case			)
		snake_case  :       Any     			=						DownloadManager()
		for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(__snake_case			) ,       start=1			):
				_test_jsonl(__snake_case ,       __snake_case			)
		assert num_jsonl == 2




@pytest.mark.parametrize('''archive_nested_jsonl''' ,       ['''tar_nested_jsonl_path''', '''zip_nested_jsonl_path''']			)
def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)  ->							Dict:


		'''simple docstring'''


		snake_case  :       Tuple     			=						request.getfixturevalue(__snake_case			)
		snake_case  :       Optional[Any]     			=						DownloadManager()
		for num_tar, (path, file) in enumerate(dl_manager.iter_archive(__snake_case			) ,       start=1			):
				for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(__snake_case			) ,       start=1			):
						_test_jsonl(__snake_case ,       __snake_case			)
		assert num_tar == 1
		assert num_jsonl == 2




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							Any:


		'''simple docstring'''


		snake_case  :       Optional[Any]     			=						DownloadManager()
		for num_file, file in enumerate(dl_manager.iter_files(__snake_case			) ,       start=1			):
				assert os.path.basename(__snake_case			) == ("test.txt" if num_file == 1 else "train.txt")
		assert num_file == 2



'''simple docstring'''

import importlib

import torch
import yaml
from omegaconf import OmegaConf
from taming.models.vqgan import VQModel



def snake_case_      (					__snake_case  :							Union[str, Any]	,   __snake_case  :							Union[str, Any]=False)			->					Optional[int]:
   lowerCAmelCase_			=      OmegaConf.load(__snake_case)
   if display:
      print(yaml.dump(OmegaConf.to_container(__snake_case)))
   return config



def snake_case_      (					__snake_case  :							Any	,   __snake_case  :							Optional[int]=None	,   __snake_case  :							str=None)			->					str:
   if conf_path is None:
      lowerCAmelCase_			=      '''./model_checkpoints/vqgan_only.yaml'''
   lowerCAmelCase_			=      load_config(__snake_case	,   display=__snake_case)
   lowerCAmelCase_			=      VQModel(**config.model.params)
   if ckpt_path is None:
      lowerCAmelCase_			=      '''./model_checkpoints/vqgan_only.pt'''
   lowerCAmelCase_			=      torch.load(__snake_case	,   map_location=__snake_case)
   if ".ckpt" in ckpt_path:
      lowerCAmelCase_			=      sd['''state_dict''']
   model.load_state_dict(__snake_case	,   strict=__snake_case)
   model.to(__snake_case)
   del sd
   return model



def snake_case_      (					__snake_case  :							Union[str, Any]	,   __snake_case  :							str)			->					Optional[int]:
   lowerCAmelCase_	,lowerCAmelCase_	,lowerCAmelCase_			=      model.encode(__snake_case)
   print(F'''VQGAN --- {model.__class__.__name__}: latent shape: {z.shape[2:]}''')
   lowerCAmelCase_			=      model.decode(__snake_case)
   return xrec



def snake_case_      (					__snake_case  :							int	,   __snake_case  :							List[Any]=False)			->					Union[str, Any]:
   lowerCAmelCase_	,lowerCAmelCase_			=      string.rsplit('''.'''	,   1)
   if reload:
      lowerCAmelCase_			=      importlib.import_module(__snake_case)
      importlib.reload(__snake_case)
   return getattr(importlib.import_module(__snake_case	,   package=__snake_case)	,   cls)



def snake_case_      (					__snake_case  :							Tuple)			->					Union[str, Any]:
   if "target" not in config:
      raise KeyError('''Expected key `target` to instantiate.''')
   return get_obj_from_str(config['''target'''])(**config.get('''params'''	,   {}))



def snake_case_      (					__snake_case  :							Optional[int]	,   __snake_case  :							Any	,   __snake_case  :							Optional[int]=True	,   __snake_case  :							Any=True)			->					List[str]:
   lowerCAmelCase_			=      instantiate_from_config(__snake_case)
   if sd is not None:
      model.load_state_dict(__snake_case)
   if gpu:
      model.cuda()
   if eval_mode:
      model.eval()
   return {"model": model}






def snake_case_      (					__snake_case  :							Any	,   __snake_case  :							Optional[int]	,   __snake_case  :							Dict	,   __snake_case  :							str)			->					Any:
   # load the specified checkpoint
   if ckpt:
      lowerCAmelCase_			=      torch.load(__snake_case	,   map_location='''cpu''')
      lowerCAmelCase_			=      pl_sd['''global_step''']
      print(F'''loaded model from global step {global_step}.''')
   else:
      lowerCAmelCase_			=      {'''state_dict''': None}
      lowerCAmelCase_			=      None
   lowerCAmelCase_			=      load_model_from_config(config.model	,   pl_sd['''state_dict''']	,   gpu=__snake_case	,   eval_mode=__snake_case)['''model''']
   return model, global_step





