repo_name stringlengths 7 65 | path stringlengths 5 185 | copies stringlengths 1 4 | size stringlengths 4 6 | content stringlengths 977 990k | license stringclasses 14
values | hash stringlengths 32 32 | line_mean float64 7.18 99.4 | line_max int64 31 999 | alpha_frac float64 0.25 0.95 | ratio float64 1.5 7.84 | autogenerated bool 1
class | config_or_test bool 2
classes | has_no_keywords bool 2
classes | has_few_assignments bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
mrkipling/maraschino | lib/werkzeug/contrib/lint.py | 92 | 12238 | # -*- coding: utf-8 -*-
"""
werkzeug.contrib.lint
~~~~~~~~~~~~~~~~~~~~~
.. versionadded:: 0.5
This module provides a middleware that performs sanity checks of the WSGI
application. It checks that :pep:`333` is properly implemented and warns
on some common HTTP errors such as non-empty respons... | mit | ebac1f397ec22bd85c1a0b508647bab6 | 35.750751 | 84 | 0.555401 | 4.59212 | false | false | false | false |
mrkipling/maraschino | scripts/Test.py | 9 | 2176 | #you will need these
import datetime, getopt, sys, urllib, urllib2
#you can remove this one in your own script
import time
def main(argv):
try:
opts, args = getopt.getopt(argv, "ipsw:", ["ip=", "port=", "script_id=", "webroot="])
except getopt.GetoptError:
... | mit | df5392abe8a17f53849624a52aea2015 | 29.661972 | 96 | 0.569393 | 3.453968 | false | false | false | false |
mrkipling/maraschino | lib/sqlalchemy/dialects/maxdb/base.py | 22 | 42809 | # maxdb/base.py
# Copyright (C) 2005-2011 the SQLAlchemy authors and contributors <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""Support for the MaxDB database.
This dialect is *not* ported to SQLAlchemy 0.6 or 0.... | mit | 7683039432585bc38559d815292dbf85 | 37.359319 | 84 | 0.560513 | 4.264694 | false | false | false | false |
california-civic-data-coalition/django-calaccess-campaign-browser | calaccess_campaign_browser/models/expenditures.py | 3 | 5609 | from django.db import models
from django.utils.datastructures import SortedDict
from calaccess_campaign_browser import managers
from calaccess_campaign_browser.utils.models import BaseModel
class Expenditure(BaseModel):
"""
Who got paid and how much.
"""
cycle = models.ForeignKey('Cycle')
committ... | mit | 907075878524ba9e5d39c8528de3413e | 34.726115 | 77 | 0.611161 | 3.625727 | false | false | false | false |
mrkipling/maraschino | lib/sqlalchemy/sql/functions.py | 19 | 3954 | # sql/functions.py
# Copyright (C) 2005-2011 the SQLAlchemy authors and contributors <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
from sqlalchemy import types as sqltypes, schema
from sqlalchemy.sql.expression impor... | mit | 947d47bc07a4001e428c4156c12d52f4 | 28.507463 | 84 | 0.657309 | 3.880275 | false | false | false | false |
mrkipling/maraschino | lib/sqlalchemy/dialects/firebird/kinterbasdb.py | 22 | 6584 | # firebird/kinterbasdb.py
# Copyright (C) 2005-2011 the SQLAlchemy authors and contributors <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""
The most common way to connect to a Firebird engine is implemented by
kint... | mit | 60bd2ede37bfc6b166afae5d0a938787 | 38.42515 | 119 | 0.642922 | 4.081835 | false | false | false | false |
california-civic-data-coalition/django-calaccess-campaign-browser | calaccess_campaign_browser/views/base.py | 3 | 2939 | import csv
import json
from django.views import generic
from django.http import HttpResponse
from django.utils.encoding import smart_text
class DataPrepMixin(object):
"""
Provides a method for preping a context object
for serialization as JSON or CSV.
"""
def prep_context_for_serialization(self, c... | mit | a396b63543512f63067cba9e366bc064 | 32.022472 | 79 | 0.630827 | 4.157001 | false | false | false | false |
mrkipling/maraschino | modules/currently_playing.py | 6 | 3412 | from flask import jsonify, render_template
import jsonrpclib
import maraschino
from maraschino import app, logger
from maraschino.noneditable import *
from maraschino.tools import *
@app.route('/xhr/currently_playing')
@requires_auth
def xhr_currently_playing():
try:
api_address = server_api_address()
... | mit | ad36b60aed59419b7b1f3a436e42cb56 | 39.619048 | 206 | 0.639801 | 3.90389 | false | false | false | false |
mikedh/trimesh | trimesh/constants.py | 1 | 5323 | import numpy as np
from .util import log, PY3
if PY3:
# will be the highest granularity clock available
from time import perf_counter as now
else:
# perf_counter not available on python 2
from time import time as now
class ToleranceMesh(object):
"""
ToleranceMesh objects hold tolerance infor... | mit | 96047b7266033cb4f50f2905c2293190 | 32.062112 | 68 | 0.648882 | 4.244817 | false | false | false | false |
kapsiry/sikteeri | membership/management/commands/csvtestdata.py | 2 | 2371 | # encoding: UTF-8
"""
Generates test data for CSV import.
"""
import codecs
from datetime import timedelta, datetime
from uuid import uuid4
from sys import stdout
from django.core.management.base import BaseCommand
from django.conf import settings
from membership.models import BillingCycle
header_row = "Kirjauspäi... | mit | 00e01175dedf187b15b09398cc003f40 | 27.481928 | 117 | 0.593063 | 3.377143 | false | false | false | false |
mikedh/trimesh | examples/raytrace.py | 2 | 2071 | """
raytrace.py
----------------
A very simple example of using scene cameras to generate
rays for image reasons.
Install `pyembree` for a speedup (600k+ rays per second)
"""
from __future__ import division
import PIL.Image
import trimesh
import numpy as np
if __name__ == '__main__':
# test on a simple mesh
... | mit | f0f23becf3df44bdadc1b10432cafb05 | 31.359375 | 80 | 0.654756 | 3.842301 | false | false | false | false |
mikedh/trimesh | trimesh/path/polygons.py | 1 | 28603 | import numpy as np
from shapely import ops
from shapely.geometry import Polygon
from .. import bounds
from .. import graph
from .. import geometry
from .. import grouping
from ..constants import log
from ..constants import tol_path as tol
from ..transformations import transform_points
from .simplify import fit_circ... | mit | 59a772fc9d5938fc48aeb8c97893c04c | 31.356335 | 84 | 0.615355 | 4.21376 | false | false | false | false |
mikedh/trimesh | trimesh/path/path.py | 1 | 47001 | """
path.py
-----------
A module designed to work with vector paths such as
those stored in a DXF or SVG file.
"""
import numpy as np
import copy
import warnings
import collections
from hashlib import sha256
from ..points import plane_fit
from ..geometry import plane_transform
from ..visual import to_rgba
from ..co... | mit | 86f7b82f8b6bde2ba34bbde3f5a745dd | 29.245174 | 74 | 0.536457 | 4.69025 | false | false | false | false |
inveniosoftware/invenio | setup.py | 1 | 4143 | # -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2015-2019 CERN.
#
# Invenio is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Invenio Digital Library Framework."""
import os
from setuptools import find_pack... | mit | d6e55a12f203c12655965c6a2e8c4596 | 28.176056 | 72 | 0.574222 | 3.080297 | false | false | false | false |
dontnod/nimp | nimp/artifacts.py | 1 | 13628 | # -*- coding: utf-8 -*-
# Copyright (c) 2014-2019 Dontnod Entertainment
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use,... | mit | 87ac4cdf2697c0cfe5515416337fa5e7 | 41.322981 | 131 | 0.644555 | 3.862812 | false | false | false | false |
dontnod/nimp | nimp/system.py | 1 | 18896 | # -*- coding: utf-8 -*-
# Copyright (c) 2014-2019 Dontnod Entertainment
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use,... | mit | 7b7b4ea31ae988a165569048db583c4f | 35.972549 | 115 | 0.579497 | 4.095569 | false | false | false | false |
eggpi/citationhunt | scripts/compute_fixed_snippets.py | 1 | 6381 | #!/usr/bin/env python3
'''
Compute some statistics on how many snippets have been fixed across databases.
Usage:
compute_fixed_snippets.py <lang-code>
Use 'global' for lang-code to go over all languages.
'''
import os
import sys
_upper_dir = os.path.abspath(
os.path.join(os.path.dirname(__file__), '..'))
if... | mit | 65f33d3599b80e6e7cba1d9c1b4dd41e | 37.439759 | 80 | 0.612757 | 3.686308 | false | false | false | false |
dontnod/nimp | nimp/model/symbol_server.py | 1 | 6004 | # -*- coding: utf-8 -*-
# Copyright (c) 2014-2019 Dontnod Entertainment
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use,... | mit | 43e04920a3f980eae5261b472acaa61b | 42.194245 | 119 | 0.629081 | 3.942219 | false | false | false | false |
geoalchemy/geoalchemy2 | tests/gallery/test_raster_transform.py | 1 | 3752 | """
Reproject a Raster using ST_Transform
=====================================
The `ST_Transform()` function (and a few others like `ST_SnapToGrid()`) can be used on
both `Geometry` and `Raster` types. In `GeoAlchemy2`, this function is only defined for
`Geometry` as it can not be defined for several types at the sam... | mit | 7645f7a3b7a820825ec53e2884de4240 | 32.20354 | 88 | 0.645789 | 3.597315 | false | false | false | false |
istresearch/scrapy-cluster | kafka-monitor/kafka_monitor.py | 1 | 22998 | #!/usr/bin/python
from __future__ import division
from builtins import str
from builtins import object
from past.utils import old_div
from kafka import KafkaConsumer,KafkaProducer
from kafka.common import KafkaError
from kafka.common import OffsetOutOfRangeError
from collections import OrderedDict
from kafka.common im... | mit | b22681d1ef8cfc56b08273844f7465c9 | 40.141324 | 98 | 0.518132 | 4.606048 | false | false | false | false |
istresearch/scrapy-cluster | redis-monitor/plugins/stats_monitor.py | 1 | 9192 | from __future__ import absolute_import
from .kafka_base_monitor import KafkaBaseMonitor
class StatsMonitor(KafkaBaseMonitor):
regex = "statsrequest:*:*"
def setup(self, settings):
'''
Setup kafka
'''
KafkaBaseMonitor.setup(self, settings)
def handle(self, key, value):
... | mit | aa6901b8d94f851c5ee0dd2820355708 | 29.949495 | 94 | 0.509138 | 4.204941 | false | false | false | false |
istresearch/scrapy-cluster | utils/tests/test_log_factory.py | 1 | 10602 | '''
Offline utility tests
'''
from unittest import TestCase
import os
import json
import copy
import six
from mock import MagicMock
from testfixtures import LogCapture
from scutils.log_factory import LogFactory, LogObject
class TestLogFactory(TestCase):
def setUp(self):
self.logger = LogFactory.get_ins... | mit | 089e665e2df27d65abac5313bae44a10 | 31.621538 | 80 | 0.565742 | 3.721306 | false | true | false | false |
istresearch/scrapy-cluster | redis-monitor/plugins/info_monitor.py | 1 | 7790 | from __future__ import absolute_import
import ujson
from .kafka_base_monitor import KafkaBaseMonitor
class InfoMonitor(KafkaBaseMonitor):
regex = "info:*:*"
def setup(self, settings):
'''
Setup kafka
'''
KafkaBaseMonitor.setup(self, settings)
def handle(self, key, value)... | mit | a25f6c904178a94125725ac90e34abf5 | 37.564356 | 141 | 0.485751 | 4.492503 | false | false | false | false |
ebmdatalab/openprescribing | openprescribing/frontend/management/commands/geocode_practices.py | 2 | 1758 | import csv
from django.core.management.base import BaseCommand
from django.contrib.gis.gdal import SpatialReference, CoordTransform
from django.contrib.gis.geos import Point
from frontend.models import Practice
class Command(BaseCommand):
args = ""
help = "Add eastings and northings to practices, "
help +... | mit | 0c5355bfeb1df008069e26a3323ce4b2 | 35.625 | 81 | 0.554039 | 4.406015 | false | false | false | false |
ebmdatalab/openprescribing | openprescribing/pipeline/management/commands/run_pipeline_e2e_tests.py | 2 | 4996 | from distutils.dir_util import copy_tree
import glob
import os
import shutil
from django.apps import apps
from django.core.management import BaseCommand, CommandError
from django.conf import settings
from django.core.management import call_command
from gcutils.bigquery import Client as BQClient, DATASETS, build_sche... | mit | 3c230beb03ce1fcefb847b9e3c495eea | 37.430769 | 86 | 0.692354 | 3.486392 | false | true | false | false |
ebmdatalab/openprescribing | openprescribing/frontend/tests/functional/test_measures.py | 1 | 79674 | # coding=utf8
# The tests in this file verify that the measure panels are generated as
# expected on each of the pages they appear on. This is done by checking that
# the links on the panels point to the expected places, and that the perfomance
# explanations are correct. The rendering of the measure graphs is not t... | mit | 198f141b90172bcc7bbcb51621b5a9ad | 38.248891 | 255 | 0.56369 | 3.647506 | false | false | false | false |
ebmdatalab/openprescribing | openprescribing/api/geojson_serializer.py | 2 | 2394 | """
Django's built-in GeoJSON serializer (django.core.serializers.geojson) will
only serialize fields defined on the model, so if you want to include results
calculated on a QuerySet using e.g. `annotate` or `aggregate` then you're out
of luck.
Below is a dirt-simple implementation of a GeoJSON serializer which accept... | mit | a9b524e53241c5a464f00937bfa938f5 | 34.731343 | 83 | 0.657895 | 4.313514 | false | false | false | false |
ebmdatalab/openprescribing | openprescribing/matrixstore/tests/build/test_generate_filename.py | 2 | 1134 | import datetime
import os
import shutil
import sqlite3
import tempfile
import time
from django.test import SimpleTestCase
from matrixstore.build.init_db import SCHEMA_SQL, generate_dates, import_dates
from matrixstore.build.generate_filename import generate_filename
class TestGenerateFilename(SimpleTestCase):
@... | mit | 8db66741bdf72666227592261a685872 | 29.648649 | 86 | 0.681658 | 3.992958 | false | true | false | false |
ebmdatalab/openprescribing | openprescribing/frontend/migrations/0046_auto_20190514_1412.py | 2 | 1049 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.20 on 2019-05-14 13:12
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('dmd', '0002_auto_20181007_1443'),
('frontend', '0045_auto_20190508_2136'),
]
ope... | mit | efd9790f2c6a42d6959dcc37096919d8 | 32.83871 | 128 | 0.582459 | 3.814545 | false | false | false | false |
ebmdatalab/openprescribing | openprescribing/gcutils/bigquery.py | 2 | 18040 | from contextlib import contextmanager
import subprocess
import sys
import tempfile
import warnings
from google.cloud import bigquery as gcbq
from google.cloud.exceptions import Conflict, NotFound
from six import reraise
import pandas as pd
from django.conf import settings
from django.db.models import fields as model... | mit | 2000451a72d7172029d1f37c33235df4 | 32.594041 | 86 | 0.601497 | 3.769327 | false | false | false | false |
ebmdatalab/openprescribing | openprescribing/pipeline/management/commands/delete_latest_prescribing_import.py | 2 | 5586 | """
This command:
* deletes all prescribing data (both original data and extracts created by the matrixstore build) from:
* the filesystem
* BigQuery
* Cloud Storage
* resets the import pipeline so that the import may be re-run with correct data
"""
import json
import os
import networkx as ... | mit | 5e1b87d1bd0610f1be8cd9db17393f1a | 30.559322 | 107 | 0.677408 | 3.404022 | false | false | false | false |
ebmdatalab/openprescribing | openprescribing/frontend/management/commands/calculate_star_pu_weights.py | 2 | 2475 | import json
import os
import openpyxl as op
import re
from django.conf import settings
from django.core.management.base import BaseCommand
import sys
class Command(BaseCommand):
args = ""
help = "Calculate STAR-PU weights from HSCIC Excel file. "
help += "Save weights into frontend app, in preparation for... | mit | a1e26a847203998eb2a8b3ff10ca98a8 | 34.869565 | 83 | 0.562424 | 3.53067 | false | false | false | false |
ebmdatalab/openprescribing | openprescribing/pipeline/management/commands/handle_orphan_practices.py | 1 | 8540 | # We get information about which CCG a practice belongs to from epraccur.csv,
# which is usually published quarterly. When a CCG's composition changes,
# closed or dormant practices that were previously in the CCG are often not
# updated and may end up apparently belonging to a closed CCG. We call these
# "orphan pra... | mit | d3118f6b00efebe83bb966e4d4aafd3a | 40.256039 | 113 | 0.587354 | 3.821029 | false | false | false | false |
ebmdatalab/openprescribing | openprescribing/openprescribing/settings/test.py | 2 | 3723 | import os
import random
from .base import *
DEBUG = True
TEMPLATES[0]["OPTIONS"]["debug"] = DEBUG
DATABASES = {
"default": {
"ENGINE": "django.contrib.gis.db.backends.postgis",
"NAME": utils.get_env_setting("DB_NAME"),
"USER": utils.get_env_setting("DB_USER"),
"PASSWORD": utils.get... | mit | 9ecad9bd680bbc80d37ce48ac14dad7f | 35.145631 | 143 | 0.663712 | 3.092193 | false | true | false | false |
ebmdatalab/openprescribing | openprescribing/dmd/migrations/0002_auto_20181007_1443.py | 2 | 1760 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.15 on 2018-10-07 13:43
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('dmd', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
name='amp',
options... | mit | 23979e9f1dcb4e974883c05d23f853c7 | 31 | 142 | 0.540341 | 4.131455 | false | false | false | false |
ebmdatalab/openprescribing | openprescribing/common/alert_utils.py | 2 | 1551 | import logging
import sys
import traceback
logger = logging.getLogger(__name__)
class BatchedEmailErrors(Exception):
def __init__(self, exceptions):
individual_messages = set()
for exception in exceptions:
individual_messages.add(
"".join(
traceback... | mit | 393ce9b738e80289566a670942b67b52 | 28.264151 | 79 | 0.562863 | 4.393768 | false | false | false | false |
ebmdatalab/openprescribing | openprescribing/matrixstore/build/update_bnf_map.py | 2 | 4454 | """
Update the prescribing data in a SQLite file using the `bnf_map` table in
BigQuery which maps old BNF codes to their current versions
"""
import logging
import os.path
import sqlite3
from gcutils.bigquery import Client
from matrixstore.matrix_ops import sparse_matrix, finalise_matrix, is_integer
from matrixstore.s... | mit | 620e4021f2a9fd19992d8639e8567d51 | 33.261538 | 87 | 0.667041 | 3.790638 | false | false | false | false |
ebmdatalab/openprescribing | openprescribing/frontend/bq_schemas.py | 1 | 6172 | from gcutils.bigquery import build_schema
DMD_SCHEMA = build_schema(
("dmdid", "STRING"),
("bnf_code", "STRING"),
("vpid", "STRING"),
("display_name", "STRING"),
("ema", "STRING"),
("pres_statcd", "STRING"),
("avail_restrictcd", "STRING"),
("product_type", "STRING"),
("non_availcd"... | mit | 21a73295cf560de0614b456d07e01afd | 25.152542 | 71 | 0.531594 | 3.078304 | false | false | false | false |
ebmdatalab/openprescribing | openprescribing/frontend/tests/price_per_unit/test_savings.py | 2 | 12051 | from collections import defaultdict
import json
import warnings
import numpy
from django.core.cache import CacheKeyWarning
from django.test import TestCase, override_settings
from matrixstore.tests.data_factory import DataFactory
from matrixstore.tests.matrixstore_factory import (
patch_global_matrixstore,
m... | mit | 0c06b81d4f8ade2dd0b7ea91075b66e8 | 36.425466 | 85 | 0.611236 | 3.855086 | false | false | false | false |
pytorch/fairseq | examples/attention_head_selection/src/modules/attn_head_selector.py | 1 | 3074 | # This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import math
class AttnHeadSelector(nn.Module):
"""
Latent variable modeling of attention head selection
"""
def __init__(
self, num_ta... | mit | 700dcf5a8c878f37e605bbacfe4c92c5 | 36.950617 | 111 | 0.600846 | 3.485261 | false | false | false | false |
pytorch/fairseq | fairseq/models/speech_to_text/hub_interface.py | 1 | 4716 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from argparse import Namespace
import logging
from typing import Union, Tuple, Optional
import torch
import torch.nn as nn
import torch.nn.fu... | mit | 08fe66d98fc864218fb86995f1b2fbeb | 36.428571 | 83 | 0.58609 | 3.578149 | false | false | false | false |
pytorch/fairseq | examples/hubert/simple_kmeans/dump_km_label.py | 1 | 3008 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import sys
import numpy as np
import joblib
import torch
import tqdm
logging.basicConfig(
format="%(asctime)s ... | mit | c706387f4bf64013f08ea35bb6c73383 | 29.693878 | 69 | 0.580785 | 3.244876 | false | false | false | false |
pytorch/fairseq | fairseq/search.py | 1 | 31369 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from typing import List, Optional
import torch
import torch.nn as nn
from fairseq.token_generation_constraints import (
Const... | mit | 349a2fea715fdc945777319319f32959 | 37.536855 | 100 | 0.583092 | 3.854159 | false | false | false | false |
pytorch/fairseq | fairseq/tasks/multilingual_denoising.py | 1 | 8756 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import numpy as np
from fairseq.data import (
AppendTokenDataset,
ConcatDataset,
DenoisingDataset,
... | mit | bf6643a839bc44a93d3cb4b630e94342 | 33.472441 | 91 | 0.524326 | 4.395582 | false | false | false | false |
pytorch/fairseq | fairseq/dataclass/configs.py | 1 | 39421 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import sys
from dataclasses import _MISSING_TYPE, dataclass, field
from typing import Any, List, Optional
import torch
from omegaco... | mit | aeb2250717ec1c8bdda9e0b0449028f9 | 34.072064 | 236 | 0.594861 | 4.098669 | false | false | false | false |
pytorch/fairseq | fairseq/data/iterators.py | 1 | 29702 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import itertools
import logging
import math
import operator
import os
import queue
import time
from threading import Thread
import numpy as n... | mit | 5e3e08a2eac071236f40fb71061c4ae1 | 35.177832 | 94 | 0.583193 | 4.254082 | false | false | false | false |
pytorch/fairseq | fairseq/modules/transformer_layer.py | 1 | 21710 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Dict, List, Optional
import torch
import torch.nn as nn
from fairseq import utils
from fairseq.modules import LayerNorm, M... | mit | 08a44cd00817895907dcd32ac6316d34 | 37.561279 | 88 | 0.578489 | 3.695319 | false | false | false | false |
pytorch/fairseq | examples/wav2vec/unsupervised/scripts/merge_clusters.py | 1 | 3543 | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import os.path as osp
import numpy as np
import tqdm
import torch
import random
from shuti... | mit | b2bafd1e458be059f75db7a005bbf516 | 30.078947 | 110 | 0.579735 | 3.539461 | false | false | false | false |
pytorch/fairseq | fairseq/data/transform_eos_dataset.py | 1 | 4575 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from . import FairseqDataset
class TransformEosDataset(FairseqDataset):
"""A :class:`~fairseq.data.FairseqDataset` wrapper... | mit | 3ba402e1b23e1f8c92391495e296cae2 | 37.125 | 88 | 0.60306 | 3.710462 | false | false | false | false |
pytorch/fairseq | fairseq/model_parallel/models/pipeline_parallel_transformer/layers.py | 1 | 22687 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from collections import namedtuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import option... | mit | 15785bcd474811b0e1869c4f93c8b8b5 | 36.811667 | 92 | 0.574779 | 3.921016 | false | false | false | false |
pytorch/fairseq | examples/speech_text_joint_to_text/criterions/multi_modality_compound.py | 1 | 6486 | #
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import math
from dataclasses import dataclass, field
from fairseq import metrics, utils
from fairseq.criterions import FairseqCriterion, register_criterion
from fairseq.criterion... | mit | 102f6f7aef5029219d6777bbe7d5b38f | 35.033333 | 88 | 0.579248 | 3.831069 | false | false | false | false |
pytorch/fairseq | fairseq/optim/lr_scheduler/inverse_square_root_schedule.py | 1 | 3228 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from collections.abc import Collection
from dataclasses import dataclass, field
from typing import List
from omegaconf import II
from fairse... | mit | 578b6db03bf409d754582a7c1193f818 | 36.976471 | 87 | 0.666667 | 3.771028 | false | true | false | false |
pytorch/fairseq | fairseq/models/xmod/hub_interface.py | 1 | 1712 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from fairseq.models.roberta.hub_interface import RobertaHubInterface
import torch
import torch.nn.functional as F
class XMODHubInterface(Ro... | mit | 9adcf6d65f9824bbac6463e3f76650cf | 32.568627 | 88 | 0.590537 | 3.962963 | false | false | false | false |
pytorch/fairseq | fairseq/models/speech_to_text/multi_modality_model.py | 1 | 1884 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from fairseq.models import FairseqDecoder, FairseqEncoder
# a container for different encoders with training samples from different modalit... | mit | 095ec0e60678ce580b0bac5960571266 | 37.44898 | 119 | 0.68259 | 4.224215 | false | false | false | false |
pytorch/fairseq | examples/MMPT/locallaunch.py | 1 | 5336 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
from omegaconf import OmegaConf
from mmpt.utils import recursive_config, overwrite_dir
from mmpt_cli.localjob impor... | mit | 6d7513b4ce775591388179407ede0115 | 35.054054 | 85 | 0.57084 | 3.795164 | false | true | false | false |
pytorch/fairseq | examples/attention_head_selection/src/models/head_selection_transformer.py | 1 | 7637 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Any, List, Dict, Optional
import torch
import torch.nn as nn
from torch import Tensor
from fairseq.utils import safe_hasat... | mit | 436253d25919c392b26900a9e62938e8 | 34.52093 | 190 | 0.608354 | 4.006821 | false | false | false | false |
pytorch/fairseq | examples/wav2vec/unsupervised/scripts/wav2vec_apply_cluster_faiss.py | 1 | 4015 | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import os.path as osp
import numpy as np
import tqdm
import torch
import sys
import faiss... | mit | 79e1cc2bb12c51855345763cae8e6a90 | 30.367188 | 129 | 0.591283 | 3.348624 | false | false | false | false |
pytorch/fairseq | examples/hubert/simple_kmeans/dump_mfcc_feature.py | 1 | 2491 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import sys
import soundfile as sf
import torch
import torchaudio
from feature_utils import get_path_iterator, dump_... | mit | 6d507bfeaa8e46ece5c00de08e5ba7e0 | 30.935897 | 78 | 0.614613 | 3.375339 | false | false | false | false |
pytorch/fairseq | examples/speech_to_speech/benchmarking/core.py | 1 | 17782 | import timeit
import logging
import torch
from pypapi import events, papi_high as high
from memory_profiler import memory_usage
from torch import nn
from argparse import Namespace
from fairseq.dataclass.utils import convert_namespace_to_omegaconf
from fairseq.data import data_utils as fairseq_data_utils
from fairseq im... | mit | 9ceb1e4ad692c69439def6642c28e594 | 35.513347 | 131 | 0.600382 | 3.737285 | false | false | false | false |
pytorch/fairseq | examples/noisychannel/rerank.py | 1 | 14097 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from multiprocessing import Pool
import numpy as np
from fairseq import options
from fairseq.data import dictionary
from fairseq.... | mit | eb55320159858cd90cc16b77b657c6ff | 31.936916 | 107 | 0.511244 | 3.768244 | false | false | false | false |
pytorch/fairseq | examples/multilingual/data_scripts/download_wmt19_and_before.py | 1 | 37648 | from typing import NamedTuple, List
from urllib.parse import urlparse
import os, sys
import subprocess
from subprocess import check_call, check_output
import glob
import wget
import re
import multiprocessing as mp
from functools import partial
import pathlib
from collections import OrderedDict
WORKDIR_ROOT = os.envir... | mit | 67da7956a7f5889272bc4bced171447d | 40.877642 | 294 | 0.59132 | 2.990785 | false | true | false | false |
pytorch/fairseq | fairseq/binarizer.py | 1 | 11397 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import typing as tp
from abc import ABC, abstractmethod
from collections import Counter
from dataclasses import datac... | mit | db5388104cddada70cd2ee76d366057c | 28.913386 | 99 | 0.547688 | 4.173197 | false | false | false | false |
pytorch/fairseq | examples/roberta/wsc/wsc_utils.py | 1 | 8352 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
from functools import lru_cache
def convert_sentence_to_json(sentence):
if "_" in sentence:
prefix, rest = sentence.... | mit | 925efa93aa94065799953ff4b5a6e075 | 33.655602 | 85 | 0.522869 | 3.805011 | false | false | false | false |
pytorch/fairseq | examples/pointer_generator/pointer_generator_src/transformer_pg.py | 1 | 23439 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from typing import Any, Dict, Optional, List, Tuple
import torch
import torch.nn as nn
from fairseq import utils
from fairseq.... | mit | 9e5ce63664db2db40eabe3797ead3b61 | 44.249035 | 102 | 0.636546 | 4.17882 | false | false | false | false |
pytorch/fairseq | examples/textless_nlp/gslm/metrics/asr_metrics/continuation_eval.py | 1 | 2869 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from collections import defaultdict
import numpy as np
from misc.bleu_utils import sentence_bleu
import json
import warnings
def get_args()... | mit | c4b236728873ec172f320049dd52b18c | 27.979798 | 109 | 0.619728 | 3.664112 | false | false | false | false |
pytorch/fairseq | fairseq/models/speech_to_text/s2t_transformer.py | 1 | 21049 | #!/usr/bin/env python3
import logging
import math
from pathlib import Path
from typing import Dict, List, Optional, Tuple
import torch
import torch.nn as nn
from torch import Tensor
from fairseq import checkpoint_utils, utils
from fairseq.data.data_utils import lengths_to_padding_mask
from fairseq.models import (
... | mit | 4b08218236eda49cf77bea2fac77c573 | 35.99297 | 87 | 0.601121 | 3.786472 | false | false | false | false |
pytorch/fairseq | fairseq/distributed/tpu_distributed_data_parallel.py | 1 | 1285 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch import nn
from fairseq.distributed import utils
class TPUDistributedDataParallel(nn.Module):
def __init__(self,... | mit | e8ad7624ae1ff04d22ad9c6c4f9a6954 | 28.883721 | 86 | 0.578988 | 4.185668 | false | false | false | false |
pytorch/fairseq | fairseq/modules/quantization/scalar/modules/qlinear.py | 1 | 3629 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
from ..ops import emulate_int
class IntLinear(nn.Module):
"""
Qu... | mit | ada2a18e7696065fe0b2d70a454b7754 | 31.115044 | 101 | 0.589694 | 4.077528 | false | false | false | false |
pytorch/fairseq | fairseq/criterions/nat_loss.py | 1 | 6355 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn.functional as F
from fairseq import metrics, utils
from fairseq.criterions import FairseqCriterion, ... | mit | 0312e57471c1ea524e6b15f1af7abe23 | 34.305556 | 88 | 0.547128 | 3.947205 | false | false | false | false |
pytorch/fairseq | fairseq/models/nat/levenshtein_transformer.py | 1 | 20131 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq.iterative_refinement_generator import DecoderOut
from fairseq.... | mit | d0f8cb78b59bf005695e104f3c2a26e4 | 38.472549 | 89 | 0.592718 | 3.680256 | false | false | false | false |
pytorch/fairseq | examples/bart/summarize.py | 1 | 3174 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from fairseq.models.bart import BARTModel
import argparse
XSUM_KWARGS = dict(beam=6, lenpen=1.0, max_len_b=60, min_len=10, no_re... | mit | a538f3fff068861f8c3808cfb59d1be3 | 30.74 | 88 | 0.57719 | 3.387407 | false | false | false | false |
pytorch/fairseq | fairseq/data/encoders/gpt2_bpe_utils.py | 1 | 4594 | """
Byte pair encoding utilities from GPT-2.
Original source: https://github.com/openai/gpt-2/blob/master/src/encoder.py
Original license: MIT
"""
import json
from functools import lru_cache
@lru_cache()
def bytes_to_unicode():
"""
Returns list of utf-8 byte and a corresponding list of unicode strings.
... | mit | 66f2b87c587a74513533842b57513be4 | 31.785714 | 108 | 0.540305 | 3.625592 | false | false | false | false |
pytorch/fairseq | tests/test_noising.py | 1 | 19814 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from typing import Dict, List
import torch
import tests.utils as test_utils
from fairseq import utils
from fairseq.data impo... | mit | d5e111d4a5d42eeb050fef4cbd68bbb4 | 36.314501 | 87 | 0.557081 | 3.547717 | false | true | false | false |
pytorch/fairseq | fairseq/data/subsample_dataset.py | 1 | 2117 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import numpy as np
from . import BaseWrapperDataset
logger = logging.getLogger(__name__)
class SubsampleDataset(BaseWrapp... | mit | fe168d5a50413f2df7f78cc094d06610 | 28.402778 | 101 | 0.632026 | 4.047801 | false | false | false | false |
pytorch/fairseq | examples/MMPT/scripts/video_feature_extractor/model.py | 1 | 1921 | # Copyright (c) Howto100M authors and Facebook, Inc. All Rights Reserved
import torch as th
from torch import nn
class GlobalAvgPool(nn.Module):
def __init__(self):
super(GlobalAvgPool, self).__init__()
def forward(self, x):
return th.mean(x, dim=[-2, -1])
def get_model(args):
assert ... | mit | ddff4179ab6ff18d8f1cb7c44fcdbadb | 32.12069 | 92 | 0.606976 | 3.442652 | false | false | false | false |
pytorch/fairseq | fairseq/modules/gumbel_vector_quantizer.py | 1 | 6891 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
class GumbelVectorQuantizer(nn.Module):
def __init__(
self,
... | mit | 22424548bf18a3243c902985426dd6a0 | 32.945813 | 117 | 0.546075 | 3.640254 | false | false | false | false |
pytorch/fairseq | fairseq_cli/validate.py | 1 | 5228 | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import sys
from argparse import Namespace
from itertools import chain
import torch
from om... | mit | 20c1d8c7490cb9732963888f5384743c | 33.169935 | 88 | 0.641737 | 3.791153 | false | false | false | false |
pytorch/fairseq | fairseq/criterions/fairseq_criterion.py | 1 | 4424 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import inspect
from typing import Any, Dict, List
from fairseq import metrics, utils
from fairseq.dataclass import FairseqDataclass
from fair... | mit | 279a8f8b8e2e18b63ab7afd8a53d0aff | 35.866667 | 79 | 0.602848 | 4.41517 | false | false | false | false |
pytorch/fairseq | hubconf.py | 1 | 2099 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""isort:skip_file"""
import functools
import importlib
dependencies = [
"dataclasses",
"hydra",
"numpy",
"omegaconf",
"... | mit | e2bc235b9b8a40a983607c90e4de4495 | 27.753425 | 82 | 0.649833 | 3.952919 | false | false | false | false |
pytorch/fairseq | examples/adaptive_span/adaptive_span_loss.py | 1 | 4233 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from dataclasses import dataclass
import torch.nn.functional as F
from fairseq import metrics, utils
from fairseq.criterions impo... | mit | 444fd21777540f636378d76b79992a01 | 38.933962 | 88 | 0.623671 | 3.789615 | false | false | false | false |
pytorch/fairseq | examples/textless_nlp/gslm/unit2speech/convert_to_16k.py | 1 | 2177 | import os
import shlex
import subprocess
import progressbar
from time import time
from pathlib import Path
def find_all_files(path_dir, extension):
out = []
for root, dirs, filenames in os.walk(path_dir):
for f in filenames:
if f.endswith(extension):
out.append(((str(Path(f)... | mit | d0ed1b249235028d1ade44c4c139e0bf | 37.892857 | 96 | 0.649058 | 3.545603 | false | false | false | false |
pytorch/fairseq | fairseq/modules/location_attention.py | 1 | 2909 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch.nn as nn
import torch
import torch.nn.functional as F
class LocationAttention(nn.Module):
"""
Attention-Based Models fo... | mit | 70bf88d412360588490283e72036f436 | 34.048193 | 80 | 0.60605 | 3.414319 | false | false | false | false |
pytorch/fairseq | examples/speech_to_speech/preprocessing/prep_sn_output_data.py | 1 | 1455 | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
from pathlib import Path
from tqdm import tqdm
def process(args):
args.output_root.mkdir(exist_o... | mit | 76793487dc1e5398d20ee11bc9ac4806 | 24.086207 | 74 | 0.573883 | 3.447867 | false | false | false | false |
pytorch/fairseq | fairseq/benchmark/dummy_mt.py | 1 | 3677 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import numpy as np
import torch
from fairseq.data import Dictionary, FairseqDataset
from fairseq.tasks import LegacyFairseqTa... | mit | 5578800652480990ea2ea2c6b2dfd53c | 29.89916 | 84 | 0.583084 | 3.826223 | false | false | false | false |
pytorch/fairseq | fairseq/models/speech_to_speech/s2s_transformer.py | 1 | 25037 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from pathlib import Path
from typing import Any, Dict, List, Optional
import torch
from torch import Tensor
from fairseq impo... | mit | 3388d99c319bcc73a4ceace276ef0dcf | 34.614509 | 110 | 0.587331 | 3.990596 | false | false | false | false |
pytorch/fairseq | fairseq/optim/dynamic_loss_scaler.py | 1 | 2635 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
class DynamicLossScaler(object):
def __init__(
self,
init_scale=2.0**15,
scale_factor=2.0,
scale_window=2... | mit | e492278f90a7ac3af4a5377cfe022ac3 | 36.642857 | 92 | 0.56888 | 4.091615 | false | false | false | false |
pytorch/fairseq | examples/speech_text_joint_to_text/criterions/text_guide_cross_entropy_acc.py | 1 | 11004 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn.functional as F
from fairseq.criterions import FairseqCriterion, register_criterion
from fairseq.crit... | mit | dd385d6143a25b1abd2ec4950228b759 | 48.345291 | 139 | 0.609415 | 3.569251 | false | false | false | false |
pytorch/fairseq | examples/speech_recognition/data/collaters.py | 1 | 4796 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
This module contains collection of classes which implement
collate functionalities for various tasks.
Collaters should know wh... | mit | 73d018b611376030e660f8525d5584e7 | 35.610687 | 84 | 0.577148 | 3.980083 | false | false | false | false |
pytorch/fairseq | examples/MMPT/mmpt/processors/dedupprocessor.py | 1 | 8834 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import random
import json
import pickle
from tqdm import tqdm
import os
import numpy as np
class CaptionDedupProcessor(object):
"""remov... | mit | eaf2e286a69bc3dd90127d1f9a3d4bdf | 35.504132 | 85 | 0.503622 | 3.626437 | false | false | false | false |
pytorch/fairseq | examples/wav2vec/unsupervised/scripts/g2p_wrd_to_phn.py | 1 | 1104 | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import sys
from g2p_en import G2p
def main():
parser = argparse.ArgumentParser()
parser.a... | mit | e60b7c8991dfefe66f877e844194f729 | 23.533333 | 81 | 0.521739 | 3.396923 | false | false | false | false |
pytorch/fairseq | examples/speech_synthesis/data_utils.py | 1 | 11364 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import io
import os
from pathlib import Path
from typing import Optional, List, Dict
import zipfile
import tempfile
from dataclasses import da... | mit | 0de3055878d5de7dbbd6c00a62cf6556 | 32.034884 | 87 | 0.586677 | 3.226576 | false | false | false | false |
pytorch/fairseq | fairseq/criterions/label_smoothed_cross_entropy_with_ctc.py | 1 | 3376 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from dataclasses import dataclass, field
import torch
import torch.nn.functional as F
from fairseq import metrics, utils
from fa... | mit | 7ddb2edb9c48dc7b49d81f346ecddb0b | 34.166667 | 84 | 0.61404 | 3.583864 | false | false | false | false |
pytorch/fairseq | examples/backtranslation/deduplicate_lines.py | 1 | 1221 | #!/usr/bin/python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import fileinput
import hashlib
import sys
from multiprocessing import Pool
def get_hashes_and_lines(raw_... | mit | c4171f6fe403ac57db8a363e45c8e435 | 28.780488 | 68 | 0.618346 | 3.677711 | false | false | false | false |
pytorch/fairseq | fairseq/data/legacy/masked_lm_dictionary.py | 1 | 1560 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from fairseq.data import Dictionary
class MaskedLMDictionary(Dictionary):
"""
Dictionary for Masked Language Modelling tasks. This e... | mit | db8e99fe151c77db14c310c71c5b4dab | 25 | 79 | 0.574359 | 3.823529 | false | false | false | false |
pytorch/fairseq | fairseq/data/encoders/hf_byte_bpe.py | 1 | 1710 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass, field
from fairseq.data.encoders import register_bpe
from fairseq.dataclass import FairseqDataclass
from f... | mit | 1e27d614285a62a0b57a5b56ffc3f9cd | 33.2 | 87 | 0.647953 | 3.454545 | false | false | false | false |
pytorch/fairseq | fairseq/modules/sinusoidal_positional_embedding.py | 1 | 3914 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from typing import Any, Optional
import torch
import torch.onnx.operators
from fairseq import utils
from torch import Tensor, nn
... | mit | 4da1fc252ef3a4f43140cd9ff30dccda | 36.27619 | 87 | 0.591978 | 3.803693 | false | false | false | false |
pytorch/fairseq | fairseq/models/hubert/hubert_asr.py | 1 | 12488 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import contextlib
from argparse import Namespace
from dataclasses import dataclass, field
from typing import Any
import torch
import torch.nn... | mit | a84f97b6e8078a659a8574ce40ce110d | 33.307692 | 88 | 0.607783 | 3.789985 | false | false | false | false |
pytorch/fairseq | fairseq/tasks/multilingual_language_modeling.py | 1 | 22960 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
from dataclasses import dataclass, field
from typing import Optional
import numpy as np
import torch
from omegaconf ... | mit | 8cec81ebea8281988f6dc3fa98dbf8e9 | 35.61882 | 102 | 0.552787 | 4.289184 | false | false | false | false |
kibitzr/kibitzr | kibitzr/fetcher/browser/launcher.py | 1 | 1750 | """
FireFox housekeeping - starting and stopping process
"""
import os
import shutil
import logging
from contextlib import contextmanager
PROFILE_DIR = 'firefox_profile'
logger = logging.getLogger(__name__)
FIREFOX_INSTANCE = {
'headless': None,
'headed': None,
}
def cleanup():
"""Must be called before... | mit | 81be5aadfbc8b2a000fe591952e76adf | 27.225806 | 75 | 0.625143 | 3.941441 | false | false | false | false |
kibitzr/kibitzr | kibitzr/fetcher/simple.py | 1 | 1932 | import logging
import collections
from time import sleep
import requests
from cachecontrol import CacheControl
from kibitzr import __version__ as version
logger = logging.getLogger(__name__)
class SessionFetcher:
RETRIABLE_EXCEPTIONS = (
(requests.HTTPError, 5),
(requests.ConnectionError, 15),
... | mit | aea80c60045a4a89264e741149167928 | 29.1875 | 98 | 0.577122 | 4.302895 | false | false | false | false |
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