






from collections import defaultdict
from pathlib import Path

import pandas as pd
from rouge_cli import calculate_rouge_path

from utils import calculate_rouge


__magic_name__:					Optional[int]							=     [
    "Prosecutor: \"No videos were used in the crash investigation\" German papers say they saw a cell phone video of the"
    " final seconds on board Flight 9525. The Germanwings co-pilot says he had a \"previous episode of severe"
    " depression\" German airline confirms it knew of Andreas Lubitz's depression years before he took control.",
    "The Palestinian Authority officially becomes the 123rd member of the International Criminal Court. The formal"
    " accession was marked with a ceremony at The Hague, in the Netherlands. The Palestinians signed the ICC's"
    " founding Rome Statute in January. Israel and the United States opposed the Palestinians' efforts to join the"
    " body.",
    "Amnesty International releases its annual report on the death penalty. The report catalogs the use of"
    " state-sanctioned killing as a punitive measure across the globe. At least 607 people were executed around the"
    " world in 2014, compared to 778 in 2013. The U.S. remains one of the worst offenders for imposing capital"
    " punishment.",
]

__magic_name__:					Dict							=     [
    "Marseille prosecutor says \"so far no videos were used in the crash investigation\" despite media reports ."
    " Journalists at Bild and Paris Match are \"very confident\" the video clip is real, an editor says . Andreas Lubitz"
    " had informed his Lufthansa training school of an episode of severe depression, airline says .",
    "Membership gives the ICC jurisdiction over alleged crimes committed in Palestinian territories since last June ."
    " Israel and the United States opposed the move, which could open the door to war crimes investigations against"
    " Israelis .",
    "Amnesty's annual death penalty report catalogs encouraging signs, but setbacks in numbers of those sentenced to"
    " death . Organization claims that governments around the world are using the threat of terrorism to advance"
    " executions . The number of executions worldwide has gone down by almost 22% compared with 2013, but death"
    " sentences up by 28% .",
]

def    UpperCamelCase						(	):






						"""simple docstring"""







						__magic_name__      :       Optional[int]       						= calculate_rouge(_A,   _A,   bootstrap_aggregation=_A,   rouge_keys=["""rouge2""", """rougeL"""]			)
						assert isinstance(_A,   _A			)
						__magic_name__      :       Optional[Any]       						= calculate_rouge(_A,   _A,   bootstrap_aggregation=_A,   rouge_keys=["""rouge2"""]			)
						assert (
						    pd.DataFrame(no_aggregation["""rouge2"""]			).fmeasure.mean()
						    == pd.DataFrame(no_aggregation_just_ra["""rouge2"""]			).fmeasure.mean()
						)

def    UpperCamelCase						(	):






						"""simple docstring"""







						__magic_name__      :       str       						= """rougeLsum"""
						__magic_name__      :       List[str]       						= calculate_rouge(_A,   _A,   newline_sep=_A,   rouge_keys=[k]			)[k]
						__magic_name__      :       Tuple       						= calculate_rouge(_A,   _A,   newline_sep=_A,   rouge_keys=[k]			)[k]
						assert score > score_no_sep

def    UpperCamelCase						(	):






						"""simple docstring"""







						__magic_name__      :       int       						= ["""rouge1""", """rouge2""", """rougeL"""]
						__magic_name__      :       List[Any]       						= calculate_rouge(_A,   _A,   newline_sep=_A,   rouge_keys=_A			)
						__magic_name__      :       Tuple       						= calculate_rouge(_A,   _A,   newline_sep=_A,   rouge_keys=_A			)
						assert score_sep == score_no_sep

def    UpperCamelCase						(	):






						"""simple docstring"""







						__magic_name__      :       Union[str, Any]       						= [
						    """Her older sister, Margot Frank, died in 1945, a month earlier than previously thought.""",
						    """Marseille prosecutor says \"so far no videos were used in the crash investigation\" despite media reports .""",
						]
						__magic_name__      :       Dict       						= [
						    """Margot Frank, died in 1945, a month earlier than previously thought.""",
						    """Prosecutor: \"No videos were used in the crash investigation\" German papers say they saw a cell phone video of"""
						    """ the final seconds on board Flight 9525.""",
						]
						assert calculate_rouge(_A,   _A,   newline_sep=_A			) == calculate_rouge(_A,   _A,   newline_sep=_A			)

def    UpperCamelCase						(	):






						"""simple docstring"""







						__magic_name__      :       Optional[Any]       						= [
						    """\" \"a person who has such a video needs to immediately give it to the investigators,\" prosecutor says .<n> \"it is a very disturbing scene,\" editor-in-chief of bild online tells \"erin burnett: outfront\" """
						]
						__magic_name__      :       Union[str, Any]       						= [
						    """ Marseille prosecutor says \"so far no videos were used in the crash investigation\" despite media reports . Journalists at Bild and Paris Match are \"very confident\" the video clip is real, an editor says . Andreas Lubitz had informed his Lufthansa training school of an episode of severe depression, airline says ."""
						]

						__magic_name__      :       Optional[int]       						= calculate_rouge(_A,   _A,   rouge_keys=["""rougeLsum"""],   newline_sep=_A			)["""rougeLsum"""]
						__magic_name__      :       Dict       						= calculate_rouge(_A,   _A,   rouge_keys=["""rougeLsum"""]			)["""rougeLsum"""]
						assert new_score > prev_score

def    UpperCamelCase						(	):






						"""simple docstring"""







						__magic_name__      :       Dict       						= Path("""examples/seq2seq/test_data/wmt_en_ro"""			)
						__magic_name__      :       List[str]       						= calculate_rouge_path(data_dir.joinpath("""test.source"""			),   data_dir.joinpath("""test.target"""			)			)
						assert isinstance(_A,   _A			)
						__magic_name__      :       Union[str, Any]       						= calculate_rouge_path(
						    data_dir.joinpath("""test.source"""			),   data_dir.joinpath("""test.target"""			),   bootstrap_aggregation=_A			)
						assert isinstance(_A,   _A			)








import collections
import json
import os
import re
from typing import TYPE_CHECKING, List, Optional, Tuple

import numpy as np

from ...tokenization_utils_fast import PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
		from transformers.pipelines.conversational import Conversation


__magic_name__:					int							=     logging.get_logger(__name__)

__magic_name__:					Any							=     {"vocab_file": "vocab.txt", "emoji_file": "emoji.json"}

__magic_name__:					Union[str, Any]							=     {
    "vocab_file": {
        "abeja/gpt-neox-japanese-2.7b": "https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/vocab.txt",
    },
    "emoji_file": {
        "abeja/gpt-neox-japanese-2.7b": "https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/emoji.json",
    },
}

__magic_name__:					Optional[Any]							=     {
    "abeja/gpt-neox-japanese-2.7b": 2_048,
}

def    UpperCamelCase						(	_A,   _A			):






						"""simple docstring"""







						with open(_A,   """r""",   encoding="""utf-8"""			) as f:
												__magic_name__      :       Tuple       						= json.loads(f.read()			)

						__magic_name__      :       Optional[Any]       						= collections.OrderedDict()
						__magic_name__      :       List[str]       						= collections.OrderedDict()
						__magic_name__      :       int       						= collections.OrderedDict()
						with open(_A,   """r""",   encoding="""utf-8"""			) as f:
												__magic_name__      :       Tuple       						= f.readlines()
						__magic_name__      :       Optional[int]       						= [[t.rstrip("""\n"""			)] if (t == """,""" or """,""" not in t) else t.rstrip("""\n"""			).split(""","""			) for t in token]
						for idx, b in enumerate(_A			):
												__magic_name__      :       Dict       						= b
												__magic_name__      :       Optional[Any]       						= idx
												for wd in b:
																		__magic_name__      :       Dict       						= idx

						return vocab, raw_vocab, ids_to_tokens, emoji





class 	snake_case__ (							_lowerCAmelCase				):
	lowercase__						:					Union[str, Any]											=   VOCAB_FILES_NAMES
	lowercase__						:					Optional[Any]											=   PRETRAINED_VOCAB_FILES_MAP
	lowercase__						:					Any											=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowercase__						:					List[str]											=   ['''input_ids''', '''attention_mask''']
	def __init__(    self      ,       lowerCAmelCase__      ,       lowerCAmelCase__      ,       lowerCAmelCase__="<|endoftext|>"      ,       lowerCAmelCase__="<|endoftext|>"      ,       lowerCAmelCase__="<|startoftext|>"      ,       lowerCAmelCase__="<|endoftext|>"      ,       lowerCAmelCase__=False      ,       **lowerCAmelCase__      ,       )							->				str:
							super().__init__(
							    unk_token=lowerCAmelCase__      ,       pad_token=lowerCAmelCase__      ,       bos_token=lowerCAmelCase__      ,       eos_token=lowerCAmelCase__      ,       do_clean_text=lowerCAmelCase__      ,       **lowerCAmelCase__      ,       )
							if not os.path.isfile(lowerCAmelCase__			):
													raise ValueError(
													    F'Can\'t find a vocabulary file at path \'{vocab_file}\'. To load the vocabulary from a Google pretrained'
													    """ model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`"""			)
							if not os.path.isfile(lowerCAmelCase__			):
													raise ValueError(
													    F'Can\'t find a emoji file at path \'{emoji_file}\'. To load the emoji information from a Google'
													    """ pretrained model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`"""			)
							__magic_name__      :       Dict       						= do_clean_text
							__magic_name__						,__magic_name__						,__magic_name__						,__magic_name__      :       Union[str, Any]       						= load_vocab_and_emoji(lowerCAmelCase__      ,       lowerCAmelCase__			)
							__magic_name__      :       str       						= SubWordJapaneseTokenizer(
							    vocab=self.vocab      ,       ids_to_tokens=self.ids_to_tokens      ,       emoji=self.emoji			)
	@property
	def       __magic_name__    (    self			)							->				Union[str, Any]:
							# self.vocab contains support for character fluctuation unique to Japanese, and has a large number of vocab
							return len(self.raw_vocab			)
	def       __magic_name__    (    self			)							->				List[Any]:
							return dict(self.raw_vocab      ,       **self.added_tokens_encoder			)
	def       __magic_name__    (    self      ,       lowerCAmelCase__			)							->				Any:
							return self.subword_tokenizer.tokenize(lowerCAmelCase__      ,       clean=self.do_clean_text			)
	def       __magic_name__    (    self      ,       lowerCAmelCase__			)							->				int:
							return self.vocab.get(lowerCAmelCase__      ,       self.vocab.get(self.unk_token			)			)
	def       __magic_name__    (    self      ,       lowerCAmelCase__			)							->				Dict:
							return self.subword_tokenizer.convert_id_to_token(lowerCAmelCase__			)
	def       __magic_name__    (    self      ,       lowerCAmelCase__			)							->				Any:
							__magic_name__      :       int       						= """""".join(lowerCAmelCase__			).strip()
							return out_string
	def       __magic_name__    (    self      ,       lowerCAmelCase__			)							->				List[int]:
							__magic_name__      :       Optional[Any]       						= []
							for is_user, text in conversation.iter_texts():
													input_ids.extend(self.encode(lowerCAmelCase__      ,       add_special_tokens=lowerCAmelCase__			) + [self.eos_token_id]			)

							if len(lowerCAmelCase__			) > self.model_max_length:
													__magic_name__      :       int       						= input_ids[-self.model_max_length :]
							return input_ids







	def       __magic_name__    (    self      ,       lowerCAmelCase__      ,       lowerCAmelCase__ = None			)							->				Tuple[str]:
							__magic_name__      :       Dict       						= 0
							if os.path.isdir(lowerCAmelCase__			):
													__magic_name__      :       Union[str, Any]       						= os.path.join(
													    lowerCAmelCase__      ,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]			)
													__magic_name__      :       Optional[Any]       						= os.path.join(
													    lowerCAmelCase__      ,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""emoji_file"""]			)
							else:
													__magic_name__      :       Optional[Any]       						= (
													    (filename_prefix + """-""" if filename_prefix else """""") + save_directory + VOCAB_FILES_NAMES["""vocab_file"""]
													)
													__magic_name__      :       Any       						= (
													    (filename_prefix + """-""" if filename_prefix else """""") + save_directory + VOCAB_FILES_NAMES["""emoji_file"""]
													)
							with open(lowerCAmelCase__      ,       """w"""      ,       encoding="""utf-8"""			) as writer:
													for token_index, token in self.ids_to_tokens.items():
																			if index != token_index:
																									logger.warning(
																									    F'Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive.'
																									    """ Please check that the vocabulary is not corrupted!"""			)
																									__magic_name__      :       Optional[Any]       						= token_index
																			writer.write(""",""".join(lowerCAmelCase__			) + """\n"""			)
																			index += 1
							with open(lowerCAmelCase__      ,       """w"""      ,       encoding="""utf-8"""			) as writer:
													json.dump(self.emoji      ,       lowerCAmelCase__			)
							return vocab_file, emoji_file





class 	snake_case__ (							_lowerCAmelCase				):
	def __init__(    self      ,       lowerCAmelCase__      ,       lowerCAmelCase__      ,       lowerCAmelCase__			)							->				str:
							__magic_name__      :       str       						= vocab  # same as swe
							__magic_name__      :       int       						= ids_to_tokens  # same as bpe
							__magic_name__      :       List[str]       						= emoji
							__magic_name__      :       Optional[Any]       						= np.max([len(lowerCAmelCase__			) for w in self.vocab.keys()]			)
							__magic_name__      :       str       						= re.compile(R"""(https?|ftp)(:\/\/[-_\.!~*\'()a-zA-Z0-9;\/?:\@&=\+$,%#]+)"""			)
							__magic_name__      :       str       						= re.compile(R"""[A-Za-z0-9\._+]*@[\-_0-9A-Za-z]+(\.[A-Za-z]+)*"""			)
							__magic_name__      :       Any       						= re.compile(R"""[\(]{0,1}[0-9]{2,4}[\)\-\(]{0,1}[0-9]{2,4}[\)\-]{0,1}[0-9]{3,4}"""			)
							__magic_name__      :       List[str]       						= re.compile(
							    R"""([12]\d{3}[/\-年])*(0?[1-9]|1[0-2])[/\-月]((0?[1-9]|[12][0-9]|3[01])日?)*(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*"""			)
							__magic_name__      :       Dict       						= re.compile(
							    R"""(明治|大正|昭和|平成|令和|㍾|㍽|㍼|㍻|\u32ff)\d{1,2}年(0?[1-9]|1[0-2])月(0?[1-9]|[12][0-9]|3[01])日(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*"""			)
							__magic_name__      :       List[Any]       						= re.compile(
							    R"""((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*億)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*万)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*千)*(0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*(千円|万円|千万円|円|千ドル|万ドル|千万ドル|ドル|千ユーロ|万ユーロ|千万ユーロ|ユーロ)+(\(税込\)|\(税抜\)|\+tax)*"""			)
							__magic_name__      :       str       						= """─━│┃┄┅┆┇┈┉┊┋┌┍┎┏┐┑┒┓└┕┖┗┘┙┚┛├┝┞┟┠┡┢┣┤┥┦┧┨┩┪┫┬┭┮┯┰┱┲┳┴┵┶┷┸┹┺┻┼┽┾┿╀╁╂╃╄╅╆╇╈╉╊╋╌╍╎╏═║╒╓╔╕╖╗╘╙╚╛╜╝╞╟╠╡╢╣╤╥╦╧╨╩╪╫╬╭╮╯╰╱╲╳╴╵╶╷╸╹╺╻╼╽╾╿"""
							__magic_name__      :       Dict       						= """▀▁▂▃▄▅▆▇█▉▊▋▌▍▎▏▐░▒▓▔▕▖▗▘▙▚▛▜▝▞▟"""
							__magic_name__      :       Optional[int]       						= str.maketrans({k: """<BLOCK>""" for k in keisen + blocks}			)
	def __len__(    self			)							->				int:
							return len(self.ids_to_tokens			)
	def       __magic_name__    (    self      ,       lowerCAmelCase__			)							->				Optional[int]:
							__magic_name__      :       Any       						= self.content_repattera.sub("""<URL>"""      ,       lowerCAmelCase__			)
							__magic_name__      :       Any       						= self.content_repattera.sub("""<EMAIL>"""      ,       lowerCAmelCase__			)
							__magic_name__      :       Dict       						= self.content_repattera.sub("""<TEL>"""      ,       lowerCAmelCase__			)
							__magic_name__      :       Tuple       						= self.content_repattera.sub("""<DATE>"""      ,       lowerCAmelCase__			)
							__magic_name__      :       str       						= self.content_repattera.sub("""<DATE>"""      ,       lowerCAmelCase__			)
							__magic_name__      :       Tuple       						= self.content_repattera.sub("""<PRICE>"""      ,       lowerCAmelCase__			)
							__magic_name__      :       Dict       						= content.translate(self.content_transa			)
							while "<BLOCK><BLOCK>" in content:
													__magic_name__      :       str       						= content.replace("""<BLOCK><BLOCK>"""      ,       """<BLOCK>"""			)
							return content
	def       __magic_name__    (    self      ,       lowerCAmelCase__      ,       lowerCAmelCase__=False			)							->				Any:
							__magic_name__      :       Union[str, Any]       						= text.replace(""" """      ,       """<SP>"""			)
							__magic_name__      :       Optional[int]       						= text.replace("""　"""      ,       """<SP>"""			)
							__magic_name__      :       int       						= text.replace("""\r\n"""      ,       """<BR>"""			)
							__magic_name__      :       Optional[Any]       						= text.replace("""\n"""      ,       """<BR>"""			)
							__magic_name__      :       List[Any]       						= text.replace("""\r"""      ,       """<BR>"""			)
							__magic_name__      :       List[str]       						= text.replace("""\t"""      ,       """<TAB>"""			)
							__magic_name__      :       Optional[Any]       						= text.replace("""—"""      ,       """ー"""			)
							__magic_name__      :       int       						= text.replace("""−"""      ,       """ー"""			)
							for k, v in self.emoji["emoji"].items():
													if k in text:
																			__magic_name__      :       List[Any]       						= text.replace(lowerCAmelCase__      ,       lowerCAmelCase__			)
							if clean:
													__magic_name__      :       List[str]       						= self.clean_text(lowerCAmelCase__			)

							def check_simbol(lowerCAmelCase__			):
													__magic_name__      :       int       						= x.encode()
													if len(lowerCAmelCase__			) == 1 and len(lowerCAmelCase__			) == 2:
																			__magic_name__      :       str       						= (int(e[0]			) << 8) + int(e[1]			)
																			if (
																			    (c >= 0Xc2_a1 and c <= 0Xc2_bf)
																			    or (c >= 0Xc7_80 and c <= 0Xc7_83)
																			    or (c >= 0Xca_b9 and c <= 0Xcb_bf)
																			    or (c >= 0Xcc_80 and c <= 0Xcd_a2)
																			):
																									return True
													return False

							def checkuae(lowerCAmelCase__			):
													__magic_name__      :       List[Any]       						= x.encode()
													if len(lowerCAmelCase__			) == 1 and len(lowerCAmelCase__			) == 3:
																			__magic_name__      :       Dict       						= (int(e[0]			) << 16) + (int(e[1]			) << 8) + int(e[2]			)
																			if c >= 0Xe2_80_80 and c <= 0Xe2_b0_7f:
																									return True
													return False

							__magic_name__      :       Optional[Any]       						= 0
							__magic_name__      :       List[str]       						= []
							while pos < len(lowerCAmelCase__			):
													__magic_name__      :       Optional[int]       						= min(len(lowerCAmelCase__			)      ,       pos + self.maxlen + 1			) if text[pos] == """<""" else pos + 3
													__magic_name__      :       int       						= []  # (token_id, token, pos)
													for e in range(lowerCAmelCase__      ,       lowerCAmelCase__      ,       -1			):
																			__magic_name__      :       str       						= text[pos:e]
																			if wd in self.vocab:
																									if wd[0] == "<" and len(lowerCAmelCase__			) > 2:
																															__magic_name__      :       Union[str, Any]       						= [(self.vocab[wd], wd, e)]
																															break
																									else:
																															candidates.append((self.vocab[wd], wd, e)			)
													if len(lowerCAmelCase__			) > 0:
																			# the smallest token_id is adopted
																			__magic_name__						,__magic_name__						,__magic_name__      :       str       						= sorted(lowerCAmelCase__      ,       key=lambda lowerCAmelCase__			: x[0]			)[0]
																			result.append(lowerCAmelCase__			)
																			__magic_name__      :       List[Any]       						= e
													else:
																			__magic_name__      :       Dict       						= pos + 1
																			__magic_name__      :       str       						= text[pos:end]
																			if check_simbol(lowerCAmelCase__			):
																									result.append("""<KIGOU>"""			)
																			elif checkuae(lowerCAmelCase__			):
																									result.append("""<U2000U2BFF>"""			)
																			else:
																									for i in wd.encode("""utf-8"""			):
																															result.append("""<|byte%d|>""" % i			)
																			__magic_name__      :       List[str]       						= end
							return result







	def       __magic_name__    (    self      ,       lowerCAmelCase__      ,       lowerCAmelCase__="\n"			)							->				Optional[int]:
							__magic_name__      :       Tuple       						= []
							__magic_name__      :       Tuple       						= []
							__magic_name__      :       str       						= self.ids_to_tokens[index][0]
							if word[:6] == "<|byte" and word[-2:] == "|>":
													byte_tokens.append(int(word[6:-2]			)			)
							else:
													if len(lowerCAmelCase__			) > 0:
																			words.append(bytearray(lowerCAmelCase__			).decode("""utf-8"""      ,       errors="""replace"""			)			)
																			__magic_name__      :       List[Any]       						= []
													if word[:7] == "<|emoji" and word[-2:] == "|>":
																			words.append(self.emoji["""emoji_inv"""][word]			)
													elif word == "<SP>":
																			words.append(""" """			)
													elif word == "<BR>":
																			words.append(lowerCAmelCase__			)
													elif word == "<TAB>":
																			words.append("""\t"""			)
													elif word == "<BLOCK>":
																			words.append("""▀"""			)
													elif word == "<KIGOU>":
																			words.append("""ǀ"""			)
													elif word == "<U2000U2BFF>":
																			words.append("""‖"""			)
													else:
																			words.append(lowerCAmelCase__			)
							if len(lowerCAmelCase__			) > 0:
													words.append(bytearray(lowerCAmelCase__			).decode("""utf-8"""      ,       errors="""replace"""			)			)
							__magic_name__      :       Union[str, Any]       						= """""".join(lowerCAmelCase__			)
							return text
