"""simple docstring"""

import os
from argparse import ArgumentParser
from pathlib import Path
from shutil import copyfile, rmtree
from typing import Generator

import datasets.config
from datasets.builder import DatasetBuilder
from datasets.commands import BaseDatasetsCLICommand
from datasets.download.download_manager import DownloadMode
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.filelock import logger as fl_logger
from datasets.utils.info_utils import VerificationMode
from datasets.utils.logging import ERROR, get_logger


__A							=     get_logger(__name__)



def 					UpperCamelCase__       (						lowercase__					:       List[Any]				):
		return TestCommand(
		    args.dataset    ,       args.name    ,       args.cache_dir    ,       args.data_dir    ,       args.all_configs    ,       args.save_info or args.save_infos    ,       args.ignore_verifications    ,       args.force_redownload    ,       args.clear_cache    ,       )
class      lowerCamelCase__      (					UpperCamelCase_     ):
			a__	: List[Any]        =       False  # to tell pytest it's not a test class


			@staticmethod
			def 							lowerCamelCase_			(       SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					snake_case						:  Any        =			parser.add_parser("test"			,	help="Test dataset implementation."							)
					test_parser.add_argument("--name"			,	type=__SCREAMING_SNAKE_CASE			,	default=__SCREAMING_SNAKE_CASE			,	help="Dataset processing name"							)
					test_parser.add_argument(
					    "--cache_dir"			,	type=__SCREAMING_SNAKE_CASE			,	default=__SCREAMING_SNAKE_CASE			,	help="Cache directory where the datasets are stored."			,	)
					test_parser.add_argument(
					    "--data_dir"			,	type=__SCREAMING_SNAKE_CASE			,	default=__SCREAMING_SNAKE_CASE			,	help="Can be used to specify a manual directory to get the files from."			,	)
					test_parser.add_argument("--all_configs"			,	action="store_true"			,	help="Test all dataset configurations"							)
					test_parser.add_argument(
					    "--save_info"			,	action="store_true"			,	help="Save the dataset infos in the dataset card (README.md)"							)
					test_parser.add_argument(
					    "--ignore_verifications"			,	action="store_true"			,	help="Run the test without checksums and splits checks."			,	)
					test_parser.add_argument("--force_redownload"			,	action="store_true"			,	help="Force dataset redownload"							)
					test_parser.add_argument(
					    "--clear_cache"			,	action="store_true"			,	help="Remove downloaded files and cached datasets after each config test"			,	)
					# aliases
					test_parser.add_argument("--save_infos"			,	action="store_true"			,	help="alias to save_info"							)
					test_parser.add_argument("dataset"			,	type=__SCREAMING_SNAKE_CASE			,	help="Name of the dataset to download"							)
					test_parser.set_defaults(func=_test_command_factory							)


			def __init__(       self			,	SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE			,	):



					"""simple docstring"""







					snake_case						:  List[str]        =			dataset
					snake_case						:  Any        =			name
					snake_case						:  List[Any]        =			cache_dir
					snake_case						:  List[Any]        =			data_dir
					snake_case						:  int        =			all_configs
					snake_case						:  List[Any]        =			save_infos
					snake_case						:  Any        =			ignore_verifications
					snake_case						:  Union[str, Any]        =			force_redownload
					snake_case						:  List[Any]        =			clear_cache
					if clear_cache and not cache_dir:
							print(
							    "When --clear_cache is used, specifying a cache directory is mandatory.\n"
							    "The \'download\' folder of the cache directory and the dataset builder cache will be deleted after each configuration test.\n"
							    "Please provide a --cache_dir that will be used to test the dataset script."							)
							exit(1							)
					if save_infos:
							snake_case						:  Optional[int]        =			True



			def 							lowerCamelCase_			(       self							):



					"""simple docstring"""







					fl_logger().setLevel(__SCREAMING_SNAKE_CASE							)
					if self._name is not None and self._all_configs:
							print("Both parameters `config` and `all_configs` can\'t be used at once."							)
							exit(1							)
					snake_case     ,			snake_case						:  str        =			self._dataset, self._name
					snake_case						:  Dict        =			dataset_module_factory(__SCREAMING_SNAKE_CASE							)
					snake_case						:  str        =			import_main_class(module.module_path							)
					snake_case						:  Optional[int]        =			len(builder_cls.BUILDER_CONFIGS							) if self._all_configs and builder_cls.BUILDER_CONFIGS else 1

					def get_builders() -> Generator[DatasetBuilder, None, None]:
							if self._all_configs and builder_cls.BUILDER_CONFIGS:
									for i, config in enumerate(builder_cls.BUILDER_CONFIGS							):
											if "config_name" in module.builder_kwargs:
													yield builder_cls(
													    cache_dir=self._cache_dir			,	data_dir=self._data_dir			,	**module.builder_kwargs			,	)
											else:
													yield builder_cls(
													    config_name=config.name			,	cache_dir=self._cache_dir			,	data_dir=self._data_dir			,	**module.builder_kwargs			,	)
							else:
									if "config_name" in module.builder_kwargs:
											yield builder_cls(cache_dir=self._cache_dir			,	data_dir=self._data_dir			,	**module.builder_kwargs							)
									else:
											yield builder_cls(
											    config_name=__SCREAMING_SNAKE_CASE			,	cache_dir=self._cache_dir			,	data_dir=self._data_dir			,	**module.builder_kwargs			,	)

					for j, builder in enumerate(get_builders()							):
							print(F'''Testing builder \'{builder.config.name}\' ({j + 1}/{n_builders})'''							)
							snake_case						:  List[Any]        =			os.path.exists(
							    os.path.join(builder.get_imported_module_dir()			,	datasets.config.DATASETDICT_INFOS_FILENAME							)							)  # record checksums only if we need to update a (deprecated) dataset_infos.json
							builder.download_and_prepare(
							    download_mode=DownloadMode.REUSE_CACHE_IF_EXISTS
							    if not self._force_redownload
							    else DownloadMode.FORCE_REDOWNLOAD			,	verification_mode=VerificationMode.NO_CHECKS
							    if self._ignore_verifications
							    else VerificationMode.ALL_CHECKS			,	try_from_hf_gcs=__SCREAMING_SNAKE_CASE			,	)
							builder.as_dataset()
							if self._save_infos:
									builder._save_infos()

							# If save_infos=True, the dataset card (README.md) is created next to the loaded module file.
							# The dataset_infos are saved in the YAML part of the README.md

							# Let's move it to the original directory of the dataset script, to allow the user to
							# upload them on S3 at the same time afterwards.
							if self._save_infos:
									snake_case						:  List[Any]        =			os.path.join(builder_cls.get_imported_module_dir()			,	"README.md"							)
									snake_case						:  Optional[int]        =			Path(__SCREAMING_SNAKE_CASE							).name + ".py"
									snake_case						:  Optional[int]        =			os.path.join(__SCREAMING_SNAKE_CASE			,	__SCREAMING_SNAKE_CASE							)
									if os.path.isfile(__SCREAMING_SNAKE_CASE							):
											snake_case						:  Dict        =			os.path.dirname(__SCREAMING_SNAKE_CASE							)
									elif os.path.isfile(__SCREAMING_SNAKE_CASE							):
											snake_case						:  Optional[Any]        =			path
									elif os.path.isdir(__SCREAMING_SNAKE_CASE							):  # for local directories containing only data files
											snake_case						:  Tuple        =			path
									else:  # in case of a remote dataset
											snake_case						:  Tuple        =			None
											print(F'''Dataset card saved at {dataset_readme_path}'''							)

									# Move dataset_info back to the user
									if dataset_dir is not None:
											snake_case						:  str        =			os.path.join(__SCREAMING_SNAKE_CASE			,	"README.md"							)
											copyfile(__SCREAMING_SNAKE_CASE			,	__SCREAMING_SNAKE_CASE							)
											print(F'''Dataset card saved at {user_dataset_readme_path}'''							)

            # If clear_cache=True, the download folder and the dataset builder cache directory are deleted
							if self._clear_cache:
									if os.path.isdir(builder._cache_dir							):
											logger.warning(F'''Clearing cache at {builder._cache_dir}'''							)
											rmtree(builder._cache_dir							)
									snake_case						:  Union[str, Any]        =			os.path.join(self._cache_dir			,	datasets.config.DOWNLOADED_DATASETS_DIR							)
									if os.path.isdir(__SCREAMING_SNAKE_CASE							):
											logger.warning(F'''Clearing cache at {download_dir}'''							)
											rmtree(__SCREAMING_SNAKE_CASE							)

					print("Test successful."							)







"""simple docstring"""

import json
import os
import subprocess
import sys
import warnings
from argparse import ArgumentParser
from contextlib import AbstractContextManager
from typing import Dict, List, Optional

import requests

from ..utils import logging
from . import BaseTransformersCLICommand


__A							=     logging.get_logger(__name__)  # pylint: disable=invalid-name


__A							=     "lfs-multipart-upload"
class      lowerCamelCase__      (					lowerCamelCase_     ):


			@staticmethod
			def 							lowerCamelCase_			(       SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					snake_case						:  Any        =			parser.add_parser(
					    "lfs-enable-largefiles"			,	help=(
					        "Deprecated: use `huggingface-cli` instead. Configure your repository to enable upload of files > 5GB."
					    )			,	)
					enable_parser.add_argument("path"			,	type=SCREAMING_SNAKE_CASE			,	help="Local path to repository you want to configure."							)
					enable_parser.set_defaults(func=lambda SCREAMING_SNAKE_CASE							: LfsEnableCommand(SCREAMING_SNAKE_CASE							)							)

					snake_case						:  str        =			parser.add_parser(
					    SCREAMING_SNAKE_CASE			,	help=(
					        "Deprecated: use `huggingface-cli` instead. "
					        "Command will get called by git-lfs, do not call it directly."
					    )			,	)
					upload_parser.set_defaults(func=lambda SCREAMING_SNAKE_CASE							: LfsUploadCommand(SCREAMING_SNAKE_CASE							)							)







class      lowerCamelCase__      :


			def __init__(       self			,	SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					snake_case						:  Any        =			args



			def 							lowerCamelCase_			(       self							):



					"""simple docstring"""







					warnings.warn(
					    "Managing repositories through transformers-cli is deprecated. Please use `huggingface-cli` instead."							)
					snake_case						:  Any        =			os.path.abspath(self.args.path							)
					if not os.path.isdir(SCREAMING_SNAKE_CASE							):
							print("This does not look like a valid git repo."							)
							exit(1							)
					subprocess.run(
					    "git config lfs.customtransfer.multipart.path transformers-cli".split()			,	check=SCREAMING_SNAKE_CASE			,	cwd=SCREAMING_SNAKE_CASE							)
					subprocess.run(
					    F'''git config lfs.customtransfer.multipart.args {LFS_MULTIPART_UPLOAD_COMMAND}'''.split()			,	check=SCREAMING_SNAKE_CASE			,	cwd=SCREAMING_SNAKE_CASE			,	)
					print("Local repo set up for largefiles"							)







def 					UpperCamelCase__       (						lowercase__					:       Dict				):
		snake_case						:  Tuple        =			json.dumps(lowercase__				) + "\n"
		sys.stdout.write(lowercase__				)
		sys.stdout.flush()



def 					UpperCamelCase__       (						):
		snake_case						:  Union[str, Any]        =			json.loads(sys.stdin.readline().strip()				)

		if "terminate" in (msg.get("type"				), msg.get("event"				)):
				# terminate message received
				return None

		if msg.get("event"				) not in ("download", "upload"):
				logger.critical("Received unexpected message"				)
				sys.exit(1				)

		return msg
class      lowerCamelCase__      (					lowerCamelCase_     ):


			def __init__(       self			,	SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					snake_case						:  int        =			filepath
					snake_case						:  Any        =			seek_from
					snake_case						:  Any        =			read_limit
					snake_case						:  Any        =			0


			def __enter__(       self							):



					"""simple docstring"""







					snake_case						:  Optional[int]        =			open(self.filepath			,	"rb"							)
					self.f.seek(self.seek_from							)
					return self


			def __len__(       self							):



					"""simple docstring"""







					snake_case						:  int        =			os.fstat(self.f.fileno()							).st_size
					return min(self.read_limit			,	total_length - self.seek_from							)


			def 							lowerCamelCase_			(       self			,	SCREAMING_SNAKE_CASE=-1							):



					"""simple docstring"""







					if self.n_seen >= self.read_limit:
							return b""
					snake_case						:  Any        =			self.read_limit - self.n_seen
					snake_case						:  int        =			self.f.read(remaining_amount if n < 0 else min(SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE							)							)
					self.n_seen += len(SCREAMING_SNAKE_CASE							)
					return data


			def __iter__(       self							):



					"""simple docstring"""







					yield self.read(n=4 * 1_024 * 1_024							)



			def __exit__(       self			,	*SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					self.f.close()







class      lowerCamelCase__      :


			def __init__(       self			,	SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					snake_case						:  List[str]        =			args



			def 							lowerCamelCase_			(       self							):



					"""simple docstring"""







					snake_case						:  Tuple        =			json.loads(sys.stdin.readline().strip()							)
					if not (init_msg.get("event"							) == "init" and init_msg.get("operation"							) == "upload"):
							write_msg({"error": {"code": 32, "message": "Wrong lfs init operation"}}							)
							sys.exit(1							)

					# The transfer process should use the information it needs from the
					# initiation structure, and also perform any one-off setup tasks it
					# needs to do. It should then respond on stdout with a simple empty
					# confirmation structure, as follows:
					write_msg({}							)

					# After the initiation exchange, git-lfs will send any number of
					# transfer requests to the stdin of the transfer process, in a serial sequence.
					while True:
							snake_case						:  str        =			read_msg()
							if msg is None:
									# When all transfers have been processed, git-lfs will send
									# a terminate event to the stdin of the transfer process.
									# On receiving this message the transfer process should
									# clean up and terminate. No response is expected.
									sys.exit(0							)

							snake_case						:  List[Any]        =			msg["oid"]
							snake_case						:  Any        =			msg["path"]
							snake_case						:  List[Any]        =			msg["action"]["href"]
							snake_case						:  Tuple        =			msg["action"]["header"]
							snake_case						:  Optional[int]        =			int(header.pop("chunk_size"							)							)
							snake_case						:  List[str]        =			list(header.values()							)

							snake_case						:  Union[str, Any]        =			[]
							for i, presigned_url in enumerate(SCREAMING_SNAKE_CASE							):
									with FileSlice(SCREAMING_SNAKE_CASE			,	seek_from=i * chunk_size			,	read_limit=SCREAMING_SNAKE_CASE							) as data:
											snake_case						:  List[Any]        =			requests.put(SCREAMING_SNAKE_CASE			,	data=SCREAMING_SNAKE_CASE							)
											r.raise_for_status()
											parts.append(
											    {
											        "etag": r.headers.get("etag"							),
											        "partNumber": i + 1,
											    }							)
											# In order to support progress reporting while data is uploading / downloading,
											# the transfer process should post messages to stdout
											write_msg(
											    {
											        "event": "progress",
											        "oid": oid,
											        "bytesSoFar": (i + 1) * chunk_size,
											        "bytesSinceLast": chunk_size,
											    }							)
											# Not precise but that's ok.

							snake_case						:  str        =			requests.post(
							    SCREAMING_SNAKE_CASE			,	json={
							        "oid": oid,
							        "parts": parts,
							    }			,	)
							r.raise_for_status()

							write_msg({"event": "complete", "oid": oid}							)

