




"""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


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




class      UpperCAmelCase_  :
    lowercase__						 =				2_00
    lowercase__						 =				{'''Content-Length''': '''100'''}
    lowercase__						 =				{}




    def 							__magic_name__							(   self						:	Tuple     ,			**snake_case_						:	str				)				->							Any:




     '''simple docstring'''

     return [bytes(snake_case_     ,			"utf-8"				)]







def   _SCREAMING_SNAKE_CASE       (							*lowercase_      ,			**lowercase_						)						->		Tuple:
 return MockResponse()







@pytest.mark.parametrize("urls_type"      ,			[str, list, dict]						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_						)						->		List[str]:
 import requests

 monkeypatch.setattr(lowercase_      ,			"request"      ,			lowercase_						)

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







@pytest.mark.parametrize("paths_type"      ,			[str, list, dict]						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_						)						->		Dict:
 A__	=    str(lowercase_						)
 if issubclass(lowercase_      ,			lowercase_						):
  A__	=    filename
 elif issubclass(lowercase_      ,			lowercase_						):
  A__	=    [filename]
 elif issubclass(lowercase_      ,			lowercase_						):
  A__	=    {"train": filename}
 A__	=    "dummy"
 A__	=    xz_file.parent
 A__	=    "extracted"
 A__	=    DownloadConfig(
     cache_dir=lowercase_      ,			use_etag=lowercase_      ,			)
 A__	=    DownloadManager(dataset_name=lowercase_      ,			download_config=lowercase_						)
 A__	=    dl_manager.extract(lowercase_						)
 A__	=    paths
 for extracted_paths in [extracted_paths]:
  if isinstance(lowercase_      ,			lowercase_						):
   A__	=    [extracted_paths]
   A__	=    [paths]
  elif isinstance(lowercase_      ,			lowercase_						):
   assert "train" in extracted_paths.keys()
   A__	=    extracted_paths.values()
   A__	=    paths.values()
  assert extracted_paths
  for extracted_path, input_path in zip(lowercase_      ,			lowercase_						):
   assert extracted_path == dl_manager.extracted_paths[input_path]
   A__	=    Path(lowercase_						)
   A__	=    extracted_path.parts
   assert parts[-1] == hash_url_to_filename(lowercase_      ,			etag=lowercase_						)
   assert parts[-2] == extracted_subdir
   assert extracted_path.exists()
   A__	=    extracted_path.read_text()
   A__	=    text_file.read_text()
   assert extracted_file_content == expected_file_content







def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_						)						->		Dict:
 assert path.endswith(".jsonl"						)
 for num_items, line in enumerate(lowercase_      ,			start=1						):
  A__	=    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   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_						)						->		Any:
 A__	=    request.getfixturevalue(lowercase_						)
 A__	=    DownloadManager()
 for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(lowercase_						)      ,			start=1						):
  _test_jsonl(lowercase_      ,			lowercase_						)
 assert num_jsonl == 2







@pytest.mark.parametrize("archive_nested_jsonl"      ,			["tar_nested_jsonl_path", "zip_nested_jsonl_path"]						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_						)						->		List[Any]:
 A__	=    request.getfixturevalue(lowercase_						)
 A__	=    DownloadManager()
 for num_tar, (path, file) in enumerate(dl_manager.iter_archive(lowercase_						)      ,			start=1						):
  for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(lowercase_						)      ,			start=1						):
   _test_jsonl(lowercase_      ,			lowercase_						)
 assert num_tar == 1
 assert num_jsonl == 2







def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Tuple:
 A__	=    DownloadManager()
 for num_file, file in enumerate(dl_manager.iter_files(lowercase_						)      ,			start=1						):
  assert os.path.basename(lowercase_						) == ("test.txt" if num_file == 1 else "train.txt")
 assert num_file == 2











"""simple docstring"""



import re

from flax.core.frozen_dict import freeze
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.experimental import PartitionSpec as P


# Sentinels
SCREAMING_SNAKE_CASE    =	object()

# For specifying empty leaf dict `{}`
SCREAMING_SNAKE_CASE    =	object()







def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_						)						->		List[Any]:
 A__	=    tuple((re.compile(x + "$"						) for x in qs)						)
 for i in range(len(lowercase_						) - len(lowercase_						) + 1						):
  A__	=    [x.match(lowercase_						) for x, y in zip(lowercase_      ,			ks[i:]						)]
  if matches and all(lowercase_						):
   return True
 return False







def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Optional[int]:
 def replace(lowercase_      ,			lowercase_						):
  for rule, replacement in rules:
   if _match(lowercase_      ,			lowercase_						):
    return replacement
  return val

 return replace







def   _SCREAMING_SNAKE_CASE       (							)						->		List[str]:
 return [
     # embeddings
     (("transformer", "wpe", "embedding"), P("mp"      ,			lowercase_						)),
     (("transformer", "wte", "embedding"), P("mp"      ,			lowercase_						)),
     # atention
     (("attention", "(q_proj|k_proj|v_proj)", "kernel"), P(lowercase_      ,			"mp"						)),
     (("attention", "out_proj", "kernel"), P("mp"      ,			lowercase_						)),
     (("attention", "out_proj", "bias"), None),
     # mlp
     (("mlp", "c_fc", "kernel"), P(lowercase_      ,			"mp"						)),
     (("mlp", "c_fc", "bias"), P("mp"						)),
     (("mlp", "c_proj", "kernel"), P("mp"      ,			lowercase_						)),
     (("mlp", "c_proj", "bias"), None),
     # layer norms
     ((r"ln_\d+", "bias"), None),
     ((r"\d+", r"ln_\d+", "scale"), None),
     (("ln_f", "bias"), None),
     (("ln_f", "scale"), None),
 ]







def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		int:
 A__	=    _get_partition_rules()
 A__	=    _replacement_rules(lowercase_						)
 A__	=    {k: _unmatched for k in flatten_dict(lowercase_						)}
 A__	=    {k: replace(lowercase_      ,			lowercase_						) for k, v in initd.items()}
 assert _unmatched not in result.values(), "Incomplete partition spec."
 return freeze(unflatten_dict(lowercase_						)						)





