"""simple docstring"""

import json
import os
import re
import warnings
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__A							=     logging.get_logger(__name__)

__A							=     {
    "source_spm": "source.spm",
    "target_spm": "target.spm",
    "vocab": "vocab.json",
    "target_vocab_file": "target_vocab.json",
    "tokenizer_config_file": "tokenizer_config.json",
}

__A							=     {
    "source_spm": {
        "Helsinki-NLP/opus-mt-en-de": "https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/source.spm"
    },
    "target_spm": {
        "Helsinki-NLP/opus-mt-en-de": "https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/target.spm"
    },
    "vocab": {
        "Helsinki-NLP/opus-mt-en-de": "https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/vocab.json"
    },
    "tokenizer_config_file": {
        "Helsinki-NLP/opus-mt-en-de": (
            "https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/tokenizer_config.json"
        )
    },
}

__A							=     {"Helsinki-NLP/opus-mt-en-de": 512}
__A							=     {}
class      lowerCamelCase__      (					lowerCamelCase_     ):
			a__	: Any        =       VOCAB_FILES_NAMES
			a__	: str        =       PRETRAINED_VOCAB_FILES_MAP
			a__	: Tuple        =       PRETRAINED_INIT_CONFIGURATION
			a__	: Optional[Any]        =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			a__	: Union[str, Any]        =       ["""input_ids""", """attention_mask"""]
			a__	: List[Any]        =       re.compile(""">>.+<<"""     )  # type: re.Pattern


			def __init__(       self			,	SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE=None			,	SCREAMING_SNAKE_CASE=None			,	SCREAMING_SNAKE_CASE=None			,	SCREAMING_SNAKE_CASE="<unk>"			,	SCREAMING_SNAKE_CASE="</s>"			,	SCREAMING_SNAKE_CASE="<pad>"			,	SCREAMING_SNAKE_CASE=512			,	SCREAMING_SNAKE_CASE = None			,	SCREAMING_SNAKE_CASE=False			,	**SCREAMING_SNAKE_CASE			,	):



					"""simple docstring"""







					snake_case						:  Optional[int]        =			{} if sp_model_kwargs is None else sp_model_kwargs

					super().__init__(
					    # bos_token=bos_token,  unused. Start decoding with config.decoder_start_token_id
					    source_lang=SCREAMING_SNAKE_CASE			,	target_lang=SCREAMING_SNAKE_CASE			,	unk_token=SCREAMING_SNAKE_CASE			,	eos_token=SCREAMING_SNAKE_CASE			,	pad_token=SCREAMING_SNAKE_CASE			,	model_max_length=SCREAMING_SNAKE_CASE			,	sp_model_kwargs=self.sp_model_kwargs			,	target_vocab_file=SCREAMING_SNAKE_CASE			,	separate_vocabs=SCREAMING_SNAKE_CASE			,	**SCREAMING_SNAKE_CASE			,	)
					assert Path(SCREAMING_SNAKE_CASE							).exists(), F'''cannot find spm source {source_spm}'''

					snake_case						:  Union[str, Any]        =			separate_vocabs
					snake_case						:  Union[str, Any]        =			load_json(SCREAMING_SNAKE_CASE							)
					if self.unk_token not in self.encoder:
							raise KeyError("<unk> token must be in vocab"							)
					assert self.pad_token in self.encoder

					if separate_vocabs:
							snake_case						:  Dict        =			load_json(SCREAMING_SNAKE_CASE							)
							snake_case						:  Tuple        =			{v: k for k, v in self.target_encoder.items()}
							snake_case						:  int        =			[]
					else:
							snake_case						:  Dict        =			{v: k for k, v in self.encoder.items()}
							snake_case						:  list        =			[k for k in self.encoder if k.startswith(">>"							) and k.endswith("<<"							)]

					snake_case						:  int        =			source_lang
					snake_case						:  Optional[Any]        =			target_lang
					snake_case						:  Any        =			[source_spm, target_spm]

					# load SentencePiece model for pre-processing
					snake_case						:  List[Any]        =			load_spm(SCREAMING_SNAKE_CASE			,	self.sp_model_kwargs							)
					snake_case						:  List[Any]        =			load_spm(SCREAMING_SNAKE_CASE			,	self.sp_model_kwargs							)
					snake_case						:  List[str]        =			self.spm_source
					snake_case						:  Optional[int]        =			self.encoder

					# Multilingual target side: default to using first supported language code.

					self._setup_normalizer()


			def 							lowerCamelCase_			(       self							):



					"""simple docstring"""







					try:
							from sacremoses import MosesPunctNormalizer

							snake_case						:  str        =			MosesPunctNormalizer(self.source_lang							).normalize
					except (ImportError, FileNotFoundError):
							warnings.warn("Recommended: pip install sacremoses."							)
							snake_case						:  str        =			lambda SCREAMING_SNAKE_CASE							: x


			def 							lowerCamelCase_			(       self			,	SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					return self.punc_normalizer(SCREAMING_SNAKE_CASE							) if x else ""


			def 							lowerCamelCase_			(       self			,	SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					return self.current_encoder.get(SCREAMING_SNAKE_CASE			,	self.current_encoder[self.unk_token]							)


			def 							lowerCamelCase_			(       self			,	SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					snake_case						:  Tuple        =			self.language_code_re.match(SCREAMING_SNAKE_CASE							)
					snake_case						:  list        =			[match.group(0							)] if match else []
					return code, self.language_code_re.sub(""			,	SCREAMING_SNAKE_CASE							)


			def 							lowerCamelCase_			(       self			,	SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					snake_case						:  str        =			self.remove_language_code(SCREAMING_SNAKE_CASE							)
					snake_case						:  int        =			self.current_spm.encode(SCREAMING_SNAKE_CASE			,	out_type=SCREAMING_SNAKE_CASE							)
					return code + pieces


			def 							lowerCamelCase_			(       self			,	SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					return self.decoder.get(SCREAMING_SNAKE_CASE			,	self.unk_token							)


			def 							lowerCamelCase_			(       self			,	SCREAMING_SNAKE_CASE			,	**SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					return super().batch_decode(SCREAMING_SNAKE_CASE			,	**SCREAMING_SNAKE_CASE							)


			def 							lowerCamelCase_			(       self			,	SCREAMING_SNAKE_CASE			,	**SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					return super().decode(SCREAMING_SNAKE_CASE			,	**SCREAMING_SNAKE_CASE							)


			def 							lowerCamelCase_			(       self			,	SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					snake_case						:  List[Any]        =			self.spm_source if self._decode_use_source_tokenizer else self.spm_target
					snake_case						:  Dict        =			[]
					snake_case						:  List[str]        =			""
					for token in tokens:
							# make sure that special tokens are not decoded using sentencepiece model
							if token in self.all_special_tokens:
									out_string += sp_model.decode_pieces(SCREAMING_SNAKE_CASE							) + token + " "
									snake_case						:  List[str]        =			[]
							else:
									current_sub_tokens.append(SCREAMING_SNAKE_CASE							)
					out_string += sp_model.decode_pieces(SCREAMING_SNAKE_CASE							)
					return out_string.strip()


			def 							lowerCamelCase_			(       self			,	SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE=None							):



					"""simple docstring"""







					if token_ids_a is None:
							return token_ids_a + [self.eos_token_id]
					# We don't expect to process pairs, but leave the pair logic for API consistency
					return token_ids_a + token_ids_a + [self.eos_token_id]


			def 							lowerCamelCase_			(       self							):



					"""simple docstring"""







					snake_case						:  Tuple        =			self.spm_source
					snake_case						:  Any        =			self.encoder


			def 							lowerCamelCase_			(       self							):



					"""simple docstring"""







					snake_case						:  List[Any]        =			self.spm_target
					if self.separate_vocabs:
							snake_case						:  Union[str, Any]        =			self.target_encoder


			@property
			def 							lowerCamelCase_			(       self							):



					"""simple docstring"""







					return len(self.encoder							)


			def 							lowerCamelCase_			(       self			,	SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE = None							):



					"""simple docstring"""







					if not os.path.isdir(SCREAMING_SNAKE_CASE							):
							logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''							)
							return
					snake_case						:  Any        =			[]

					if self.separate_vocabs:
							snake_case						:  Any        =			os.path.join(
							    SCREAMING_SNAKE_CASE			,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab"]			,	)
							snake_case						:  List[Any]        =			os.path.join(
							    SCREAMING_SNAKE_CASE			,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["target_vocab_file"]			,	)
							save_json(self.encoder			,	SCREAMING_SNAKE_CASE							)
							save_json(self.target_encoder			,	SCREAMING_SNAKE_CASE							)
							saved_files.append(SCREAMING_SNAKE_CASE							)
							saved_files.append(SCREAMING_SNAKE_CASE							)
					else:
							snake_case						:  int        =			os.path.join(
							    SCREAMING_SNAKE_CASE			,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab"]							)
							save_json(self.encoder			,	SCREAMING_SNAKE_CASE							)
							saved_files.append(SCREAMING_SNAKE_CASE							)

					for spm_save_filename, spm_orig_path, spm_model in zip(
					    [VOCAB_FILES_NAMES["source_spm"], VOCAB_FILES_NAMES["target_spm"]]			,	self.spm_files			,	[self.spm_source, self.spm_target]			,	):
							snake_case						:  List[str]        =			os.path.join(
							    SCREAMING_SNAKE_CASE			,	(filename_prefix + "-" if filename_prefix else "") + spm_save_filename							)
							if os.path.abspath(SCREAMING_SNAKE_CASE							) != os.path.abspath(SCREAMING_SNAKE_CASE							) and os.path.isfile(SCREAMING_SNAKE_CASE							):
									copyfile(SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE							)
									saved_files.append(SCREAMING_SNAKE_CASE							)
							elif not os.path.isfile(SCREAMING_SNAKE_CASE							):
									with open(SCREAMING_SNAKE_CASE			,	"wb"							) as fi:
											snake_case						:  List[str]        =			spm_model.serialized_model_proto()
											fi.write(SCREAMING_SNAKE_CASE							)
									saved_files.append(SCREAMING_SNAKE_CASE							)

					return tuple(SCREAMING_SNAKE_CASE							)


			def 							lowerCamelCase_			(       self							):



					"""simple docstring"""







					return self.get_src_vocab()


			def 							lowerCamelCase_			(       self							):



					"""simple docstring"""







					return dict(self.encoder			,	**self.added_tokens_encoder							)


			def 							lowerCamelCase_			(       self							):



					"""simple docstring"""







					return dict(self.target_encoder			,	**self.added_tokens_decoder							)


			def __getstate__(       self							):



					"""simple docstring"""







					snake_case						:  List[Any]        =			self.__dict__.copy()
					state.update(
					    {k: None for k in ["spm_source", "spm_target", "current_spm", "punc_normalizer", "target_vocab_file"]}							)
					return state


			def __setstate__(       self			,	SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					snake_case						:  Union[str, Any]        =			d

					# for backward compatibility
					if not hasattr(self			,	"sp_model_kwargs"							):
							snake_case						:  Optional[int]        =			{}

					snake_case						:  Optional[int]        =			(load_spm(SCREAMING_SNAKE_CASE			,	self.sp_model_kwargs							) for f in self.spm_files)
					snake_case						:  List[Any]        =			self.spm_source
					self._setup_normalizer()


			def 							lowerCamelCase_			(       self			,	*SCREAMING_SNAKE_CASE			,	**SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					return 1


			def 							lowerCamelCase_			(       self			,	SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					snake_case						:  Union[str, Any]        =			set(self.all_special_ids							)  # call it once instead of inside list comp
					all_special_ids.remove(self.unk_token_id							)  # <unk> is only sometimes special
					return [1 if x in all_special_ids else 0 for x in seq]



			def 							lowerCamelCase_			(       self			,	SCREAMING_SNAKE_CASE			,	SCREAMING_SNAKE_CASE = None			,	SCREAMING_SNAKE_CASE = False							):



					"""simple docstring"""







					if already_has_special_tokens:
							return self._special_token_mask(SCREAMING_SNAKE_CASE							)
					elif token_ids_a is None:
							return self._special_token_mask(SCREAMING_SNAKE_CASE							) + [1]
					else:
							return self._special_token_mask(token_ids_a + token_ids_a							) + [1]







def 					UpperCamelCase__       (						lowercase__					:       str    ,       lowercase__					:       Dict[str, Any]				):
		snake_case						:  Optional[int]        =			sentencepiece.SentencePieceProcessor(**lowercase__				)
		spm.Load(lowercase__				)
		return spm



def 					UpperCamelCase__       (						lowercase__					:       int    ,       lowercase__					:       str				):
		with open(lowercase__    ,       "w"				) as f:
				json.dump(lowercase__    ,       lowercase__    ,       indent=2				)



def 					UpperCamelCase__       (						lowercase__					:       str				):
		with open(lowercase__    ,       "r"				) as f:
				return json.load(lowercase__				)







"""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}							)

