python_code stringlengths 0 187k | repo_name stringlengths 8 46 | file_path stringlengths 6 135 |
|---|---|---|
BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/__init__.py | |
from __future__ import print_function, unicode_literals, division
import os
import pdb
import re
import codecs
import platform
from subprocess import check_output
from tempfile import mkdtemp
from functools import partial
try:
from configparser import ConfigParser
except ImportError:
from ConfigParser import... | BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/Rouge155.py |
# -*- coding: utf-8 -*-
# Copyright 2017 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law ... | BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/g_rouge.py |
BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/pyrouge/__init__.py | |
from setuptools import setup
import os
from pyrouge.utils.file_utils import list_files
data_files = list_files('pyrouge/tests/data')
data_files = [p.replace('pyrouge/tests/', '') for p in data_files]
script_files = [os.path.join('bin', s) for s in os.listdir('bin')]
setup(
name='pyrouge',
version='0.1.3',
... | BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/pyrouge/setup.py |
BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/pyrouge/bin/__init__.py | |
# from pyrouge.Rouge155 import Rouge155
| BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/pyrouge/pyrouge/__init__.py |
import unittest
from pyrouge.tests.Rouge155_test import PyrougeTest
loader = unittest.TestLoader()
suite = unittest.TestSuite()
suite.addTest(loader.loadTestsFromTestCase(PyrougeTest))
unittest.TextTestRunner().run(suite)
| BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/pyrouge/pyrouge/test.py |
from __future__ import print_function, unicode_literals, division
import os
import re
import codecs
import platform
from subprocess import check_output
from tempfile import mkdtemp
from functools import partial
try:
from configparser import ConfigParser
except ImportError:
from ConfigParser import ConfigPars... | BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/pyrouge/pyrouge/Rouge155.py |
from __future__ import print_function, unicode_literals, division
import unittest
import os
import re
from subprocess import check_output
from tempfile import mkdtemp
from pyrouge import Rouge155
from pyrouge.utils.file_utils import str_from_file, xml_equal
module_path = os.path.dirname(__file__)
os.chdir(module_p... | BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/pyrouge/pyrouge/tests/Rouge155_test.py |
BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/pyrouge/pyrouge/tests/__init__.py | |
import unittest
import pyrouge.test
from pyrouge.test.Rouge155_test import PyrougeTest
loader = unittest.TestLoader()
suite = unittest.TestSuite()
suite.addTest(loader.loadTestsFromTestCase(PyrougeTest))
unittest.TextTestRunner().run(suite)
| BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/pyrouge/pyrouge/tests/__main__.py |
from __future__ import print_function, unicode_literals, division
from pyrouge.utils import log
from pyrouge.utils.string_utils import cleanup
from pyrouge.utils.file_utils import DirectoryProcessor
class PunktSentenceSplitter:
"""
Splits sentences using the NLTK Punkt sentence tokenizer. If installed,
P... | BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/pyrouge/pyrouge/utils/sentence_splitter.py |
import logging
def get_console_logger(name, level=logging.INFO):
logFormatter = logging.Formatter(
"%(asctime)s [%(threadName)-12.12s] [%(levelname)-5.5s] %(message)s")
logger = logging.getLogger(name)
if not logger.handlers:
logger.setLevel(level)
ch = logging.StreamHandler()
... | BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/pyrouge/pyrouge/utils/log.py |
BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/pyrouge/pyrouge/utils/__init__.py | |
import argparse
io_parser = argparse.ArgumentParser(add_help=False)
io_parser.add_argument(
'-i', '--input-files-dir',
help="Path of the directory containing the files to be converted.",
type=str, action="store", dest="input_dir",
required=True
)
io_parser.add_argument(
'-o', '--output-files-di... | BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/pyrouge/pyrouge/utils/argparsers.py |
from __future__ import print_function, unicode_literals, division
import re
def remove_newlines(s):
p = re.compile("[\n|\r\n|\n\r]")
s = re.sub(p, " ", s)
s = remove_extraneous_whitespace(s)
return s
def remove_extraneous_whitespace(s):
p = re.compile("(\s+)")
s = re.sub(p, " ", s)
retu... | BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/pyrouge/pyrouge/utils/string_utils.py |
from __future__ import print_function, unicode_literals, division
import os
import re
import codecs
import logging
import xml.etree.ElementTree as et
from gehrmann_rouge_opennmt.rouge_baselines.pyrouge.pyrouge.utils import log
class DirectoryProcessor:
@staticmethod
def process(input_dir, output_dir, funct... | BARTScore-main | SUM/gehrmann_rouge_opennmt/rouge_baselines/pyrouge/pyrouge/utils/file_utils.py |
import math
import os
from args import pretrain_args
import nltk
from accelerate import Accelerator
from datasets import load_dataset
from torch.utils.data.dataloader import DataLoader
from tqdm.auto import tqdm
from transformers import (
AdamW,
DataCollatorForSeq2Seq,
get_scheduler,
set_seed,
)
import ... | BARTScore-main | train/bart.py |
import argparse
import os
from transformers import SchedulerType
def pretrain_args():
parser = argparse.ArgumentParser(description="Finetune a transformers model on a Seq2Seq task")
parser.add_argument(
"--train_file", type=str, default='data/parabank2.json', help="A csv or a json file containing the... | BARTScore-main | train/args.py |
import random
from collections import namedtuple
from typing import List
import torch
from tqdm import tqdm, trange
from transformers import AdamW, get_linear_schedule_with_warmup
from models.bart_utils import ShardedBART
TextPairData = namedtuple('TextPairData', ['src_text', 'tgt_text'])
class BART:
def __ini... | BARTScore-main | train/reproduce/bart.py |
import jsonlines
def read_file_to_list(file_name):
lines = []
with open(file_name, 'r', encoding='utf8') as f:
for line in f.readlines():
lines.append(line.strip())
return lines
def write_list_to_file(list_to_write, filename):
out_file = open(filename, 'w')
for line in list_t... | BARTScore-main | train/reproduce/utils.py |
import argparse
def finetune_args():
parser = argparse.ArgumentParser(description='Finetune parameters')
parser.add_argument('--gpu', default=2, type=int, help='Number of GPU used')
parser.add_argument('--src_max_len', default=1024, type=int, help='Max source length')
parser.add_argument('--tgt_max_l... | BARTScore-main | train/reproduce/args.py |
import logging
import os
import random
import torch
from args import finetune_args
from utils import *
from bart import BART
logging.disable(logging.WARNING)
def set_seed_everywhere(seed, cuda):
""" Set seed for reproduce """
random.seed(seed)
torch.manual_seed(seed)
if cuda:
torch.cuda.manua... | BARTScore-main | train/reproduce/finetune.py |
BARTScore-main | train/reproduce/models/__init__.py | |
import torch
import random
import torch.nn as nn
from transformers import BartTokenizer, BartForConditionalGeneration
import torch.nn.functional as F
from typing import Optional
def move_device(tensor, device):
if tensor is None:
return None
else:
tensor = tensor.to(device)
return tens... | BARTScore-main | train/reproduce/models/bart_utils.py |
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