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56185b126c1c6cd1aee3411e9637e3f4ba5da646 | 4,933 | py | Python | glue/viewers/image/compat.py | sergiopasra/glue | c25a217a122a11818382672c99cb21f57a30636f | [
"BSD-3-Clause"
] | 1 | 2019-12-17T07:58:35.000Z | 2019-12-17T07:58:35.000Z | glue/viewers/image/compat.py | sergiopasra/glue | c25a217a122a11818382672c99cb21f57a30636f | [
"BSD-3-Clause"
] | null | null | null | glue/viewers/image/compat.py | sergiopasra/glue | c25a217a122a11818382672c99cb21f57a30636f | [
"BSD-3-Clause"
] | 1 | 2019-08-04T14:10:12.000Z | 2019-08-04T14:10:12.000Z | from __future__ import absolute_import, division, print_function
import uuid
import numpy as np
from glue.viewers.image.state import ImageLayerState, ImageSubsetLayerState
from glue.viewers.scatter.state import ScatterLayerState
STATE_CLASS = {}
STATE_CLASS['ImageLayerArtist'] = ImageLayerState
STATE_CLASS['ScatterL... | 38.24031 | 95 | 0.588283 |
369fa80b40b091564f7a909c251fea12a1999b8f | 48 | py | Python | config.py | ydogukan/TRON_Discord_Bot | 87c1ec8fa8fb1291ecf332b13fe5f6b856bdf8fc | [
"MIT"
] | null | null | null | config.py | ydogukan/TRON_Discord_Bot | 87c1ec8fa8fb1291ecf332b13fe5f6b856bdf8fc | [
"MIT"
] | null | null | null | config.py | ydogukan/TRON_Discord_Bot | 87c1ec8fa8fb1291ecf332b13fe5f6b856bdf8fc | [
"MIT"
] | null | null | null | queues = {}
global now_playing
now_playing = []
| 12 | 18 | 0.708333 |
22cbeee3d5e38481ae49455caaa4b2d29cb018ea | 2,359 | py | Python | scripts/Reader_RDM6300.py | emhal/RPi-Jukebox-RFID | 0914ef7b1b018f3c39a127ab33d95e3a306e1e06 | [
"MIT"
] | null | null | null | scripts/Reader_RDM6300.py | emhal/RPi-Jukebox-RFID | 0914ef7b1b018f3c39a127ab33d95e3a306e1e06 | [
"MIT"
] | null | null | null | scripts/Reader_RDM6300.py | emhal/RPi-Jukebox-RFID | 0914ef7b1b018f3c39a127ab33d95e3a306e1e06 | [
"MIT"
] | null | null | null | """
Support for the RDM6300 serial RFID module
1.) Connect the RDM6300 module
------------------------------
Connect the RDM6300 module to the serial GPIO pins 14 and 15.
2.) Enable GPIO serial port
---------------------------
Edit the /boot/config.txt (sudo nano /boot/config.txt) and add the following line:
enab... | 31.039474 | 86 | 0.529462 |
b98ca19a1ebd063a0776d50ba072626e515fcf84 | 3,600 | py | Python | src/sphinx/conf.py | cvogt/sbt | 1432d633e2652c51baa8af1c84411bd0517b6bf9 | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/sphinx/conf.py | cvogt/sbt | 1432d633e2652c51baa8af1c84411bd0517b6bf9 | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/sphinx/conf.py | cvogt/sbt | 1432d633e2652c51baa8af1c84411bd0517b6bf9 | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import sys, os
sys.path.append(os.path.abspath('_sphinx/exts'))
extensions = ['sphinxcontrib.issuetracker', 'sphinx.ext.extlinks', 'howto', 'codeliteral', 'key']
# Project variables
project = 'sbt'
version = os.environ['sbt.partial.version']
site_version = os.environ['sbt.site.version']
rele... | 32.727273 | 101 | 0.750278 |
48926be6fe65f47f8f85f12dafc9f1e8f6f9f47b | 3,731 | py | Python | onadata/apps/logger/management/commands/create_image_thumbnails.py | BuildAMovement/whistler-kobocat | 7f61dd0761bb0aa5b27c909bcff8c29453d3311d | [
"BSD-2-Clause"
] | 38 | 2017-02-28T05:39:40.000Z | 2019-01-16T04:39:04.000Z | onadata/apps/logger/management/commands/create_image_thumbnails.py | BuildAMovement/whistler-kobocat | 7f61dd0761bb0aa5b27c909bcff8c29453d3311d | [
"BSD-2-Clause"
] | 48 | 2019-03-18T09:26:31.000Z | 2019-05-27T08:12:03.000Z | onadata/apps/logger/management/commands/create_image_thumbnails.py | BuildAMovement/whistler-kobocat | 7f61dd0761bb0aa5b27c909bcff8c29453d3311d | [
"BSD-2-Clause"
] | 5 | 2017-02-22T12:25:19.000Z | 2019-01-15T11:16:40.000Z | #!/usr/bin/env python
from optparse import make_option
from django.contrib.auth.models import User
from django.core.management.base import BaseCommand, CommandError
from django.core.files.storage import get_storage_class
from django.conf import settings
from onadata.apps.logger.models.attachment import Attachment
fro... | 46.061728 | 79 | 0.56044 |
df2a7bb93d330dfda915e0af01b5e654b0e6dac0 | 11,784 | py | Python | lib/py/src/server/TServer.py | Jimexist/thrift | 684ee0717472e1c084f4858f3faf650b6f17b451 | [
"Apache-2.0"
] | 8,514 | 2015-01-02T12:00:14.000Z | 2022-03-31T10:34:56.000Z | lib/py/src/server/TServer.py | Jimexist/thrift | 684ee0717472e1c084f4858f3faf650b6f17b451 | [
"Apache-2.0"
] | 1,623 | 2015-01-01T08:06:24.000Z | 2022-03-30T19:48:52.000Z | lib/py/src/server/TServer.py | Jimexist/thrift | 684ee0717472e1c084f4858f3faf650b6f17b451 | [
"Apache-2.0"
] | 3,849 | 2015-01-01T02:13:43.000Z | 2022-03-31T06:23:34.000Z | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 36.37037 | 92 | 0.588425 |
9ccc0fba52e34bd2b0a37ce9e1b9e5280862df48 | 9,934 | py | Python | federal_spending/usaspending/management/commands/import_updates.py | rlugojr/federal_spending | e06f5a0018c1a0c581e8659472acb1574919dc50 | [
"CC0-1.0"
] | 20 | 2015-01-15T18:59:50.000Z | 2022-01-31T03:37:53.000Z | federal_spending/usaspending/management/commands/import_updates.py | rlugojr/federal_spending | e06f5a0018c1a0c581e8659472acb1574919dc50 | [
"CC0-1.0"
] | null | null | null | federal_spending/usaspending/management/commands/import_updates.py | rlugojr/federal_spending | e06f5a0018c1a0c581e8659472acb1574919dc50 | [
"CC0-1.0"
] | 7 | 2015-01-16T15:47:06.000Z | 2020-01-09T07:14:45.000Z | from federal_spending.usaspending.models import Contract, Grant
from federal_spending.usaspending.scripts.usaspending.contracts_loader import Loader
from federal_spending.usaspending.scripts.usaspending.fpds import FIELDS as CONTRACT_FIELDS, CALCULATED_FIELDS as CONTRACT_CALCULATED_FIELDS
from federal_spending.usaspend... | 39.895582 | 140 | 0.567042 |
336ee2de3be52b01d6cad9e93f839072131d5334 | 235 | py | Python | venv/Lib/site-packages/konlpy/user.py | movierecommend-chatbot/chat-bot | fc40c1937e8f597230578c1957305ad22f8280e4 | [
"bzip2-1.0.6"
] | null | null | null | venv/Lib/site-packages/konlpy/user.py | movierecommend-chatbot/chat-bot | fc40c1937e8f597230578c1957305ad22f8280e4 | [
"bzip2-1.0.6"
] | null | null | null | venv/Lib/site-packages/konlpy/user.py | movierecommend-chatbot/chat-bot | fc40c1937e8f597230578c1957305ad22f8280e4 | [
"bzip2-1.0.6"
] | null | null | null | #! /usr/bin/python2.7
# -*- coding: utf-8 -*-
import os
from . import utils
def addterm(term):
dicfilename = os.path.join(utils.installpath, "data", "dictionary.tsv")
with open(dicfilename, 'a') as f:
f.write(term)
| 18.076923 | 75 | 0.629787 |
acc3e751b854448b31c3ed7fc7ffff9e3a36fa95 | 842 | py | Python | setup.py | NotFaizen/popcat_wrapper | f2ea07a07cfa8084115645272cdbdee718012b90 | [
"MIT"
] | null | null | null | setup.py | NotFaizen/popcat_wrapper | f2ea07a07cfa8084115645272cdbdee718012b90 | [
"MIT"
] | null | null | null | setup.py | NotFaizen/popcat_wrapper | f2ea07a07cfa8084115645272cdbdee718012b90 | [
"MIT"
] | 2 | 2021-09-10T00:27:21.000Z | 2022-02-02T19:46:48.000Z | import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="popcat_wrapper",
version="1.6",
author="NotFaizen",
author_email="munavir370@gmail.com",
url = "https://github.com/NotFaizen/popcat_wrapper",
description="... | 35.083333 | 99 | 0.649644 |
159f0d39b309f0056b77a3459098dbe0a5aac1c6 | 54,356 | py | Python | estrategias/2021_Kasparov.py | rsouza/jogos_vorazes | 807031a981b18e8fed0a73b5edb35fa4d486c269 | [
"MIT"
] | null | null | null | estrategias/2021_Kasparov.py | rsouza/jogos_vorazes | 807031a981b18e8fed0a73b5edb35fa4d486c269 | [
"MIT"
] | null | null | null | estrategias/2021_Kasparov.py | rsouza/jogos_vorazes | 807031a981b18e8fed0a73b5edb35fa4d486c269 | [
"MIT"
] | 19 | 2016-01-15T17:24:45.000Z | 2021-01-28T18:12:50.000Z | import pickle
import numpy as np
import random
from .jogadores import Jogador
class MeuJogador(Jogador):
'''Entao, meu plano inicial era usar uma rede neural, mas acabei desistindo da ideia, porque estava tendo problemas em importar o tensorflow em uma maquina que nao possui instalando usando apenas um pip install... | 24.551039 | 1,108 | 0.745566 |
e3237089ce1b23c5dc87d26edef94adbe690edd7 | 2,010 | py | Python | dl/models/gcn.py | salemilab/DeepDynaTree | a1cd0b8e6cbc415dd91425667e6ef722eb4138a5 | [
"MIT"
] | null | null | null | dl/models/gcn.py | salemilab/DeepDynaTree | a1cd0b8e6cbc415dd91425667e6ef722eb4138a5 | [
"MIT"
] | null | null | null | dl/models/gcn.py | salemilab/DeepDynaTree | a1cd0b8e6cbc415dd91425667e6ef722eb4138a5 | [
"MIT"
] | null | null | null | #!/usr/bin/env
# -*- coding: utf-8 -*-
"""
gcn.py:
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
from dgl.nn.pytorch.conv import GraphConv
from dl import feat_dict
class Net(nn.Module):
def __init__(self, args):
super(Net, self).__init__()
in_feats = len(feat_dict[args.n... | 28.309859 | 109 | 0.555224 |
2f4b313f3251ebe4344d789f7f2be826e3c4fea7 | 5,424 | py | Python | docs/conf.py | lesamouraipourpre/Adafruit_CircuitPython_IL0398 | b37e709588b999e8d1fe2ba05621fe274668979a | [
"Unlicense",
"MIT-0",
"MIT"
] | 1 | 2021-07-13T14:58:31.000Z | 2021-07-13T14:58:31.000Z | docs/conf.py | lesamouraipourpre/Adafruit_CircuitPython_IL0398 | b37e709588b999e8d1fe2ba05621fe274668979a | [
"Unlicense",
"MIT-0",
"MIT"
] | 2 | 2019-09-03T23:21:57.000Z | 2021-09-27T16:45:13.000Z | docs/conf.py | lesamouraipourpre/Adafruit_CircuitPython_IL0398 | b37e709588b999e8d1fe2ba05621fe274668979a | [
"Unlicense",
"MIT-0",
"MIT"
] | 7 | 2019-08-21T01:40:25.000Z | 2022-03-27T14:09:33.000Z | # -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: 2021 ladyada for Adafruit Industries
#
# SPDX-License-Identifier: MIT
import os
import sys
sys.path.insert(0, os.path.abspath(".."))
# -- General configuration ------------------------------------------------
# Add any Sphinx extension module names here, as strings... | 29.639344 | 85 | 0.669432 |
c94621cc4618b48094f33d32a4ba2fcd11e19b83 | 205 | py | Python | drf_haystack/__init__.py | advantch/drf-haystack | e625264508b505074349c374cd7f0ab0e63f89b6 | [
"MIT"
] | 201 | 2015-02-14T08:17:35.000Z | 2019-07-10T04:19:04.000Z | drf_haystack/__init__.py | advantch/drf-haystack | e625264508b505074349c374cd7f0ab0e63f89b6 | [
"MIT"
] | 138 | 2015-02-17T09:28:33.000Z | 2019-07-30T10:29:52.000Z | drf_haystack/__init__.py | advantch/drf-haystack | e625264508b505074349c374cd7f0ab0e63f89b6 | [
"MIT"
] | 60 | 2015-04-01T14:51:18.000Z | 2019-05-12T15:31:52.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
__title__ = "drf-haystack"
__version__ = "1.8.11"
__author__ = "Rolf Haavard Blindheim"
__license__ = "MIT License"
VERSION = __version__
| 18.636364 | 39 | 0.731707 |
51b4192e5b540a160f4c815cd7e08861f4ef00f9 | 3,142 | py | Python | pythonforandroid/recipes/android/__init__.py | wo01/python-for-android | df0866d95c9c508299a6f948302454beb971e3ac | [
"MIT"
] | 1 | 2018-12-21T03:40:18.000Z | 2018-12-21T03:40:18.000Z | pythonforandroid/recipes/android/__init__.py | wo01/python-for-android | df0866d95c9c508299a6f948302454beb971e3ac | [
"MIT"
] | null | null | null | pythonforandroid/recipes/android/__init__.py | wo01/python-for-android | df0866d95c9c508299a6f948302454beb971e3ac | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
from pythonforandroid.recipe import CythonRecipe, IncludedFilesBehaviour
from pythonforandroid.util import current_directory
from pythonforandroid.patching import will_build
from pythonforandroid import logger
from os.path import join
class AndroidRecipe(IncludedFilesBehaviour... | 32.729167 | 77 | 0.559835 |
40c00e8eb4445f185ade400935bee7e2ac1f7559 | 1,475 | py | Python | build/lib/adapter/estimator/xgboost_classification.py | mozjay0619/scikit-optimize-adapter | 6550b6cba1667a0f0bf2c082a6ab64981cedb3e0 | [
"BSD-3-Clause"
] | null | null | null | build/lib/adapter/estimator/xgboost_classification.py | mozjay0619/scikit-optimize-adapter | 6550b6cba1667a0f0bf2c082a6ab64981cedb3e0 | [
"BSD-3-Clause"
] | null | null | null | build/lib/adapter/estimator/xgboost_classification.py | mozjay0619/scikit-optimize-adapter | 6550b6cba1667a0f0bf2c082a6ab64981cedb3e0 | [
"BSD-3-Clause"
] | null | null | null | from .base_estimator import BaseEstimator
import xgboost as xgb
from sklearn.metrics import mean_absolute_error as mae
# add more metrics
class XgboostClassification(BaseEstimator):
def __init__(self, **kwargs):
self.n_jobs = kwargs["n_jobs"]
def fit(self, X, y, params):
lear... | 33.522727 | 86 | 0.527458 |
2acaeb0de8b6ff094473ca6554657ef7bc07a0ea | 267 | py | Python | precompute_syllables.py | superMDguy/nanogenmo-2018 | 26f72dc922948a0f2bc464b33b70a3a37f376b61 | [
"MIT"
] | 1 | 2021-05-04T14:11:11.000Z | 2021-05-04T14:11:11.000Z | precompute_syllables.py | superMDguy/nanogenmo-2018 | 26f72dc922948a0f2bc464b33b70a3a37f376b61 | [
"MIT"
] | 1 | 2018-12-20T20:59:48.000Z | 2019-01-19T17:11:29.000Z | precompute_syllables.py | superMDguy/nanogenmo-2018 | 26f72dc922948a0f2bc464b33b70a3a37f376b61 | [
"MIT"
] | null | null | null | import cmudict
from tqdm import tqdm
import re
with open('cmu_pronouncing.txt', 'w') as f:
only_stress = re.compile(r'[^012]')
for word, phonemes in tqdm(cmudict.dict().items()):
f.write(f"{word} {re.sub(only_stress, '', ''.join(phonemes[0]))}\n")
| 26.7 | 76 | 0.640449 |
64cac1588112331a9f5b080991b8bc61eee56aec | 2,423 | py | Python | astrodenoisepygui-package-dist.py | kalgecin/astro-csbdeep | a216642750e0357b9b59002eaff1d69c54eb2316 | [
"BSD-3-Clause"
] | 1 | 2022-01-24T13:51:12.000Z | 2022-01-24T13:51:12.000Z | astrodenoisepygui-package-dist.py | kalgecin/astro-csbdeep | a216642750e0357b9b59002eaff1d69c54eb2316 | [
"BSD-3-Clause"
] | null | null | null | astrodenoisepygui-package-dist.py | kalgecin/astro-csbdeep | a216642750e0357b9b59002eaff1d69c54eb2316 | [
"BSD-3-Clause"
] | null | null | null | import sys
from cx_Freeze import setup, Executable
build_exe_options = {
"build_exe": "astrodenoisepy\\dist-gui",
"packages": ["kivy"],
"include_files": [
"LICENSE.txt",
["astrodenoisepy\\dist-models\\main", "models\\default"],
["astrodenoisepy\\data", "astrodenoisepy\\data"],
... | 39.721311 | 65 | 0.588114 |
0859380d064e5fd3ce40f77b016f9678d66b0d7a | 9,513 | py | Python | test/functional/test_framework/blocktools.py | rednaxus/bitcoin | a47ac9e98bb3c1ead00843cf8068ac298543d536 | [
"MIT"
] | 1 | 2020-10-27T09:27:31.000Z | 2020-10-27T09:27:31.000Z | test/functional/test_framework/blocktools.py | blackzilla2126/bitcoin | 88271184e82222f556d67511cc64230b0532f40d | [
"MIT"
] | 18 | 2020-10-31T01:04:18.000Z | 2020-11-03T19:25:27.000Z | test/functional/test_framework/blocktools.py | blackzilla2126/bitcoin | 88271184e82222f556d67511cc64230b0532f40d | [
"MIT"
] | 1 | 2021-09-18T04:39:58.000Z | 2021-09-18T04:39:58.000Z | #!/usr/bin/env python3
# Copyright (c) 2015-2019 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Utilities for manipulating blocks and transactions."""
from binascii import a2b_hex
import io
import s... | 37.305882 | 108 | 0.706612 |
de530323577d058947b6914880479ebcbffb6ac7 | 10,902 | py | Python | contextPred/chem/finetune.py | thomasly/slgnn | caa1e7814498da41ad025b4e62c569fe511848ff | [
"MIT"
] | 2 | 2020-08-31T00:55:31.000Z | 2020-09-01T19:59:30.000Z | contextPred/chem/finetune.py | thomasly/slgnn | caa1e7814498da41ad025b4e62c569fe511848ff | [
"MIT"
] | null | null | null | contextPred/chem/finetune.py | thomasly/slgnn | caa1e7814498da41ad025b4e62c569fe511848ff | [
"MIT"
] | null | null | null | import argparse
from .loader import MoleculeDataset
from torch_geometric.data import DataLoader
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from tqdm import tqdm
import numpy as np
from .model import GNN, GNN_graphpred
from sklearn.metrics import roc_auc_score
fro... | 29.786885 | 95 | 0.593469 |
bb3abd3741997f065425533cb5360b15fac3df61 | 2,874 | py | Python | CAIL2020/sfksz/tools/eval_tool.py | ShenDezhou/CAIL | c4cfa98ab4ecedbce34a7a5a186830486047540c | [
"Apache-2.0"
] | 71 | 2020-07-16T01:49:27.000Z | 2022-03-27T16:55:00.000Z | CAIL2020/sfksz/tools/eval_tool.py | ShenDezhou/CAIL | c4cfa98ab4ecedbce34a7a5a186830486047540c | [
"Apache-2.0"
] | 11 | 2020-09-18T14:26:25.000Z | 2022-02-09T23:49:33.000Z | CAIL2020/sfksz/tools/eval_tool.py | ShenDezhou/CAIL | c4cfa98ab4ecedbce34a7a5a186830486047540c | [
"Apache-2.0"
] | 16 | 2020-07-15T07:24:30.000Z | 2022-03-19T05:41:11.000Z | import logging
import os
import torch
from torch.autograd import Variable
from torch.optim import lr_scheduler
from tensorboardX import SummaryWriter
from timeit import default_timer as timer
logger = logging.getLogger(__name__)
def gen_time_str(t):
t = int(t)
minute = t // 60
second = t % 60
return ... | 29.030303 | 105 | 0.549408 |
e11d1a30dc9a72975b031e3eae91c45ca3bcf30d | 687 | py | Python | files/question histoire pygame/thorpy_reaction_(show_place_mouse_onclick).py | HenraL/NSI_1ereG6_Programme_Python | 9f46b848fa2331daca57e5e2e11cba41da45a67f | [
"Unlicense"
] | 1 | 2021-06-15T13:44:47.000Z | 2021-06-15T13:44:47.000Z | files/question histoire pygame/thorpy_reaction_(show_place_mouse_onclick).py | HenraL/NSI_1ereG6_Programme_Python | 9f46b848fa2331daca57e5e2e11cba41da45a67f | [
"Unlicense"
] | null | null | null | files/question histoire pygame/thorpy_reaction_(show_place_mouse_onclick).py | HenraL/NSI_1ereG6_Programme_Python | 9f46b848fa2331daca57e5e2e11cba41da45a67f | [
"Unlicense"
] | null | null | null | import thorpy, pygame
def my_func_reaction(event):#Reactions functions must take an event as first arg
print("My reaction displays the pos of event:", event.pos)
#We declare a Reaction. Note that we do not filter the event here.
my_reaction = thorpy.Reaction(reacts_to=pygame.MOUSEBUTTONDOWN,
... | 36.157895 | 80 | 0.754003 |
bc1ef50c3683fccefcc1680447d2bc2b43077777 | 27,227 | py | Python | ax/plot/helper.py | stevemandala/Ax | 8e289a154e3a2ed237bf27ddb90e09963c0d6a97 | [
"MIT"
] | null | null | null | ax/plot/helper.py | stevemandala/Ax | 8e289a154e3a2ed237bf27ddb90e09963c0d6a97 | [
"MIT"
] | null | null | null | ax/plot/helper.py | stevemandala/Ax | 8e289a154e3a2ed237bf27ddb90e09963c0d6a97 | [
"MIT"
] | null | null | null | #!/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 math
from collections import Counter
from typing import Any, Dict, List, Optional, Set, Tuple, Union
import num... | 32.413095 | 88 | 0.592684 |
681c2dbcba09fc1f35e2ca0aae6848e63780e95e | 678 | py | Python | temboo/core/Library/Yahoo/Weather/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 7 | 2016-03-07T02:07:21.000Z | 2022-01-21T02:22:41.000Z | temboo/core/Library/Yahoo/Weather/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | null | null | null | temboo/core/Library/Yahoo/Weather/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 8 | 2016-06-14T06:01:11.000Z | 2020-04-22T09:21:44.000Z | from temboo.Library.Yahoo.Weather.GetTemperature import GetTemperature, GetTemperatureInputSet, GetTemperatureResultSet, GetTemperatureChoreographyExecution
from temboo.Library.Yahoo.Weather.GetWeather import GetWeather, GetWeatherInputSet, GetWeatherResultSet, GetWeatherChoreographyExecution
from temboo.Library.Yahoo.... | 135.6 | 201 | 0.917404 |
66d5412d318d71e6cdc64b643cf0ad07e785f465 | 1,671 | py | Python | setup.py | arnaud-morvan/papyrus | 04ce5730e0af229cbded40fc96dfee132300f4f7 | [
"BSD-2-Clause"
] | null | null | null | setup.py | arnaud-morvan/papyrus | 04ce5730e0af229cbded40fc96dfee132300f4f7 | [
"BSD-2-Clause"
] | null | null | null | setup.py | arnaud-morvan/papyrus | 04ce5730e0af229cbded40fc96dfee132300f4f7 | [
"BSD-2-Clause"
] | null | null | null | from setuptools import setup, find_packages
import os
version = '2.3'
here = os.path.abspath(os.path.dirname(__file__))
README = open(os.path.join(here, 'README.rst')).read()
TODO = open(os.path.join(here, 'TODO.rst')).read()
CHANGES = open(os.path.join(here, 'CHANGES.rst')).read()
install_requires = [
'pyramid>... | 32.134615 | 72 | 0.59605 |
24ce098b8e56d95ed789f5a04072350ecc609c5c | 65,757 | py | Python | reviewboard/testing/testcase.py | LloydFinch/reviewboard | 563c1e8d4dfd860f372281dc0f380a0809f6ae15 | [
"MIT"
] | 2 | 2020-06-19T14:57:49.000Z | 2020-06-19T15:17:40.000Z | reviewboard/testing/testcase.py | LloydFinch/reviewboard | 563c1e8d4dfd860f372281dc0f380a0809f6ae15 | [
"MIT"
] | null | null | null | reviewboard/testing/testcase.py | LloydFinch/reviewboard | 563c1e8d4dfd860f372281dc0f380a0809f6ae15 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
import os
import re
import warnings
from contextlib import contextmanager
from datetime import timedelta
from django.conf import settings
from django.contrib.auth.models import AnonymousUser, Permission, User
from django.core.cache import cache
from django.core.files import Fil... | 36.390149 | 85 | 0.567118 |
87e25da31bde304141f5902a30ed0de46184dbf2 | 273 | py | Python | day5/d5p4.py | Akankshasharmaa/100DaysOfCode | 395bd8bd063495af7d04ec7b2f819923f502059f | [
"MIT"
] | 2 | 2021-12-22T07:43:14.000Z | 2021-12-24T12:07:33.000Z | day5/d5p4.py | Akankshasharmaa/100DaysOfCode | 395bd8bd063495af7d04ec7b2f819923f502059f | [
"MIT"
] | null | null | null | day5/d5p4.py | Akankshasharmaa/100DaysOfCode | 395bd8bd063495af7d04ec7b2f819923f502059f | [
"MIT"
] | 1 | 2021-12-22T07:43:26.000Z | 2021-12-22T07:43:26.000Z | def make_abba(a, b):
newstr = a + b + b + a
if len(a) >= 0 and len(b) >= 0:
return newstr
else:
return False
result = make_abba('Hi', 'Bye')
print(result)
result = make_abba('Yo', 'Alice')
print(result)
result = make_abba('x', '')
print(result) | 21 | 35 | 0.575092 |
08bcb9abe4d7956bfe9c1ebe44296bce9e3a337f | 14,774 | py | Python | A1 - Search and Games/fishing_game_core/app.py | NickSmyr/ai-player-agents | f8972d02c53a2ba566b541b1270a0637e3d3e5c7 | [
"MIT"
] | null | null | null | A1 - Search and Games/fishing_game_core/app.py | NickSmyr/ai-player-agents | f8972d02c53a2ba566b541b1270a0637e3d3e5c7 | [
"MIT"
] | null | null | null | A1 - Search and Games/fishing_game_core/app.py | NickSmyr/ai-player-agents | f8972d02c53a2ba566b541b1270a0637e3d3e5c7 | [
"MIT"
] | null | null | null | import json
import sys
from datetime import datetime
from io import UnsupportedOperation
from os.path import join
from pathlib import Path
import numpy as np
from kivy.app import App
from kivy.clock import Clock
from kivy.core.window import Window
from kivy.lang import Builder
from fishing_game_core.communicator impo... | 34.438228 | 119 | 0.607554 |
2d8c76401c7b11b1b733325ce1fb21cba63a5b30 | 1,036 | py | Python | Alt/saliencymapper/api.py | MalcolmGomes/SoftwareEng2 | 2cc9417a30cd1350980bc6e272d1024e866397a6 | [
"MIT"
] | null | null | null | Alt/saliencymapper/api.py | MalcolmGomes/SoftwareEng2 | 2cc9417a30cd1350980bc6e272d1024e866397a6 | [
"MIT"
] | null | null | null | Alt/saliencymapper/api.py | MalcolmGomes/SoftwareEng2 | 2cc9417a30cd1350980bc6e272d1024e866397a6 | [
"MIT"
] | null | null | null | from flask import Flask, request, send_file
from flask_restful import Resource, Api
from saliency_mapper import *
import os
import requests
import torch
import time
import sys
from torchvision import models
from torchvision import transforms
app = Flask(__name__)
api = Api(app)
class SaliencyMapAPI(Resource):
def ... | 25.268293 | 61 | 0.732625 |
029c948456cb89b831f5a1ffdc142e7ca4638310 | 10,364 | py | Python | verde/vector.py | djhoese/verde | ad14acf94717ee5c6672559f40576f65989753a5 | [
"BSD-3-Clause"
] | null | null | null | verde/vector.py | djhoese/verde | ad14acf94717ee5c6672559f40576f65989753a5 | [
"BSD-3-Clause"
] | null | null | null | verde/vector.py | djhoese/verde | ad14acf94717ee5c6672559f40576f65989753a5 | [
"BSD-3-Clause"
] | null | null | null | """
Vector gridding using elasticity Green's functions from Sandwell and Wessel
(2016).
"""
import numpy as np
from sklearn.utils.validation import check_is_fitted
from .base import check_fit_input
from .spline import Spline
from .coordinates import get_region
class Vector2D(Spline):
r"""
Elastically coupled... | 40.015444 | 85 | 0.65988 |
2ae10782e28b42c62b64daf4ca0ae47ffbf83626 | 1,335 | py | Python | app/core/tests/test_admin.py | AliSayyah/recipe-app-api | 42c689ba2fd709dad35508d5f09452daa33f81ea | [
"MIT"
] | null | null | null | app/core/tests/test_admin.py | AliSayyah/recipe-app-api | 42c689ba2fd709dad35508d5f09452daa33f81ea | [
"MIT"
] | null | null | null | app/core/tests/test_admin.py | AliSayyah/recipe-app-api | 42c689ba2fd709dad35508d5f09452daa33f81ea | [
"MIT"
] | null | null | null | from django.test import TestCase
from django.contrib.auth import get_user_model
from django.urls import reverse
from django.test import Client
class AdminSiteTests(TestCase):
def setUp(self):
self.client = Client()
self.admin_user = get_user_model().objects.create_superuser(
email='al... | 31.785714 | 68 | 0.643446 |
eebe676f07082cced8c7fbd96dd3cb896c4776b4 | 5,125 | py | Python | src/pykeen/models/unimodal/pair_re.py | rpatil524/pykeen | b76239ab68f15bbf52af744c2821c73c2115b5aa | [
"MIT"
] | null | null | null | src/pykeen/models/unimodal/pair_re.py | rpatil524/pykeen | b76239ab68f15bbf52af744c2821c73c2115b5aa | [
"MIT"
] | null | null | null | src/pykeen/models/unimodal/pair_re.py | rpatil524/pykeen | b76239ab68f15bbf52af744c2821c73c2115b5aa | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Implementation of PairRE."""
from typing import Any, ClassVar, Mapping, Optional
from torch.nn import functional
from torch.nn.init import uniform_
from ..nbase import ERModel
from ...constants import DEFAULT_EMBEDDING_HPO_EMBEDDING_DIM_RANGE
from ...nn.emb import EmbeddingSpecification
f... | 40.674603 | 177 | 0.677268 |
a8c79c79f3f09c0650c3ca9075b2f343a1ca6b1b | 1,640 | py | Python | constant/base.py | MacHu-GWU/constant-project | de44b1973d0457b856d47d6e17b3997b3611179e | [
"MIT"
] | null | null | null | constant/base.py | MacHu-GWU/constant-project | de44b1973d0457b856d47d6e17b3997b3611179e | [
"MIT"
] | null | null | null | constant/base.py | MacHu-GWU/constant-project | de44b1973d0457b856d47d6e17b3997b3611179e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Similar to ``collections.namedtuple``, ``nameddict`` is a data container class.
**中文文档**
和 ``collections.namedtuple`` 类似, ``nameddict`` 是一种数据容器类。提供了方便的方法
对属性, 值进行for循环, 以及和list, dict之间的IO交互。
"""
try:
from .pkg import nameddict, name_convention
except:
from c... | 26.031746 | 85 | 0.590854 |
41d5809adb7d350a2852159d1a56f85a78d56f9c | 6,362 | py | Python | code/zoltar-scripts/upload_covid19_forecasts_to_zoltar.py | Yannael/covid19-forecast-hub | a16c9a147df5536ea75f2870b1f8a0227ef6d3ee | [
"MIT"
] | null | null | null | code/zoltar-scripts/upload_covid19_forecasts_to_zoltar.py | Yannael/covid19-forecast-hub | a16c9a147df5536ea75f2870b1f8a0227ef6d3ee | [
"MIT"
] | null | null | null | code/zoltar-scripts/upload_covid19_forecasts_to_zoltar.py | Yannael/covid19-forecast-hub | a16c9a147df5536ea75f2870b1f8a0227ef6d3ee | [
"MIT"
] | null | null | null | from zoltpy.quantile_io import json_io_dict_from_quantile_csv_file
from zoltpy import util
from zoltpy.connection import ZoltarConnection
from zoltpy.covid19 import VALID_TARGET_NAMES, covid19_row_validator, validate_quantile_csv_file
import os
import sys
import yaml
import hashlib
import pickle
# meta info
project_na... | 39.515528 | 172 | 0.649167 |
2afcc43ccfa943fff4102358ceb907ab6f08151c | 1,031 | py | Python | www/SYS/FILE.py | ranyxr/infoVis | 307c2ffc4c7d6cf87ed000310a1f2b6233bd7a3b | [
"MIT"
] | 2 | 2020-05-27T11:12:41.000Z | 2020-12-17T19:33:41.000Z | www/SYS/FILE.py | ranyxr/infoVis | 307c2ffc4c7d6cf87ed000310a1f2b6233bd7a3b | [
"MIT"
] | null | null | null | www/SYS/FILE.py | ranyxr/infoVis | 307c2ffc4c7d6cf87ed000310a1f2b6233bd7a3b | [
"MIT"
] | 3 | 2020-03-18T19:20:24.000Z | 2020-12-17T17:37:24.000Z | from SYS import DIR
import os
"picture-info.csv"
_meta_data_fnm = "metadatas.csv"
_meta_data_uri = os.path.join(DIR.raw_data, _meta_data_fnm)
meta_data_uri = _meta_data_uri
_meta_level_meta_fnm = "picture-description.csv"
_meta_level_meta_uri = os.path.join(DIR.raw_data, _meta_level_meta_fnm)
pic_desc_uri = _meta_lev... | 30.323529 | 71 | 0.845781 |
1ab40d03f981526d9e031f31a0832b6f0bb50bd7 | 81,522 | py | Python | sectionproperties/pre/nastran_sections.py | audunarn/section-properties | 6dd68d0cb6b31adcaffeb5ea9f78f985a8955f95 | [
"MIT"
] | 2 | 2021-01-18T08:04:55.000Z | 2021-03-06T01:23:39.000Z | sectionproperties/pre/nastran_sections.py | audunarn/section-properties | 6dd68d0cb6b31adcaffeb5ea9f78f985a8955f95 | [
"MIT"
] | null | null | null | sectionproperties/pre/nastran_sections.py | audunarn/section-properties | 6dd68d0cb6b31adcaffeb5ea9f78f985a8955f95 | [
"MIT"
] | null | null | null | from sectionproperties.pre.sections import (
Geometry, RectangularSection, CustomSection, MergedSection
)
from sectionproperties.pre.pre import create_mesh
import numpy as np
class BARSection(Geometry):
"""Constructs a BAR section with the center at the origin *(0, 0)*, with two parameters
defining dimens... | 36.475168 | 99 | 0.590466 |
477cd6d865b307291a4a798405b8d7b2ff819de1 | 17,248 | py | Python | tests/providers/google/cloud/hooks/test_dataproc.py | dorranh/airflow | 1a9a2cadcf8606cfcb729d1323dd33dfacc64633 | [
"Apache-2.0"
] | null | null | null | tests/providers/google/cloud/hooks/test_dataproc.py | dorranh/airflow | 1a9a2cadcf8606cfcb729d1323dd33dfacc64633 | [
"Apache-2.0"
] | 1 | 2019-05-14T14:32:40.000Z | 2019-05-14T14:32:40.000Z | tests/providers/google/cloud/hooks/test_dataproc.py | dorranh/airflow | 1a9a2cadcf8606cfcb729d1323dd33dfacc64633 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
#... | 37.577342 | 94 | 0.659439 |
661e7836a9d7a82b1ef6be7a3b4f25e82394b3ce | 1,643 | py | Python | src/python/zquantum/core/bitstring_distribution/distance_measures/clipped_negative_log_likelihood.py | alexjuda2/z-quantum-core | c258100dbd091f0b22495b77b36399426ae9abac | [
"Apache-2.0"
] | 24 | 2020-04-15T17:36:59.000Z | 2022-01-25T05:02:14.000Z | src/python/zquantum/core/bitstring_distribution/distance_measures/clipped_negative_log_likelihood.py | alexjuda2/z-quantum-core | c258100dbd091f0b22495b77b36399426ae9abac | [
"Apache-2.0"
] | 177 | 2020-04-23T15:19:59.000Z | 2022-03-30T18:06:17.000Z | src/python/zquantum/core/bitstring_distribution/distance_measures/clipped_negative_log_likelihood.py | alexjuda2/z-quantum-core | c258100dbd091f0b22495b77b36399426ae9abac | [
"Apache-2.0"
] | 19 | 2020-06-24T10:56:02.000Z | 2021-09-30T13:02:21.000Z | import math
from typing import TYPE_CHECKING, Dict
if TYPE_CHECKING:
from zquantum.core.bitstring_distribution import BitstringDistribution
def compute_clipped_negative_log_likelihood(
target_distribution: "BitstringDistribution",
measured_distribution: "BitstringDistribution",
distance_measure_param... | 36.511111 | 88 | 0.736458 |
e219461fe40ed8a26ec6ec4adcd87016828bf126 | 1,858 | py | Python | easy/python3/c0168_690_employee-importance/00_leetcode_0168.py | drunkwater/leetcode | 8cc4a07763e71efbaedb523015f0c1eff2927f60 | [
"Ruby"
] | null | null | null | easy/python3/c0168_690_employee-importance/00_leetcode_0168.py | drunkwater/leetcode | 8cc4a07763e71efbaedb523015f0c1eff2927f60 | [
"Ruby"
] | null | null | null | easy/python3/c0168_690_employee-importance/00_leetcode_0168.py | drunkwater/leetcode | 8cc4a07763e71efbaedb523015f0c1eff2927f60 | [
"Ruby"
] | 3 | 2018-02-09T02:46:48.000Z | 2021-02-20T08:32:03.000Z | # DRUNKWATER TEMPLATE(add description and prototypes)
# Question Title and Description on leetcode.com
# Function Declaration and Function Prototypes on leetcode.com
#690. Employee Importance
#You are given a data structure of employee information, which includes the employee's unique id, his importance value and his d... | 48.894737 | 371 | 0.700215 |
7a23de5c5144bde724c8cecbda2be9d2ac255baf | 8,652 | py | Python | pyro/distributions/transforms/planar.py | chiragnagpal/pyro | 9b67c84798f39310345a6cf80f602195c0571166 | [
"Apache-2.0"
] | null | null | null | pyro/distributions/transforms/planar.py | chiragnagpal/pyro | 9b67c84798f39310345a6cf80f602195c0571166 | [
"Apache-2.0"
] | null | null | null | pyro/distributions/transforms/planar.py | chiragnagpal/pyro | 9b67c84798f39310345a6cf80f602195c0571166 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import math
from functools import partial
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions import Transform, constraints
from pyro.distributions.conditional import ConditionalTransformMo... | 35.170732 | 106 | 0.67337 |
ef6ded6a2a27334d79faf61095e7a422571f9097 | 668 | py | Python | src/ndc/create_hist.py | TEI-EAJ/auto_aozora_tei | 5535abef680a1e186f8a7dc6efc30a1dcf4efeec | [
"CC0-1.0"
] | 3 | 2019-02-12T13:28:22.000Z | 2021-07-25T20:58:07.000Z | src/ndc/create_hist.py | TEI-EAJ/auto_aozora_tei | 5535abef680a1e186f8a7dc6efc30a1dcf4efeec | [
"CC0-1.0"
] | null | null | null | src/ndc/create_hist.py | TEI-EAJ/auto_aozora_tei | 5535abef680a1e186f8a7dc6efc30a1dcf4efeec | [
"CC0-1.0"
] | 1 | 2019-02-12T22:04:00.000Z | 2019-02-12T22:04:00.000Z | import json
with open('data/ndc.json', 'r') as f:
data = json.load(f)
with open('data/subjects.json', 'r') as f:
subjects = json.load(f)
arr = data["children"]
for lev1 in arr:
for lev2 in lev1["children"]:
for lev3 in lev2["children"]:
for lev4 in lev3["children"]:
... | 24.740741 | 98 | 0.523952 |
febc05664ea50c97d67b8f34fd7a95fd90ce24a7 | 6,471 | py | Python | torchseq/models/samplers/parallel_nucleus.py | tomhosking/torchseq | 1b08c16822a553ecb77b96289fb21eb0a13d9c6b | [
"Apache-2.0"
] | 17 | 2021-02-25T14:24:06.000Z | 2021-12-12T07:12:26.000Z | torchseq/models/samplers/parallel_nucleus.py | tomhosking/torchseq | 1b08c16822a553ecb77b96289fb21eb0a13d9c6b | [
"Apache-2.0"
] | null | null | null | torchseq/models/samplers/parallel_nucleus.py | tomhosking/torchseq | 1b08c16822a553ecb77b96289fb21eb0a13d9c6b | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn as nn
from torchseq.utils.tokenizer import Tokenizer
from torchseq.utils.functions import onehot
# FROM: https://gist.github.com/thomwolf/1a5a29f6962089e871b94cbd09daf317
def top_k_top_p_filtering(logits, top_k=0, top_p=0.0, filter_value=-float("Inf")):
"""Filter a distribution of ... | 44.321918 | 119 | 0.643332 |
20bebc733d7674e861ad7c07684a3007af031c69 | 3,160 | py | Python | activelearning/settings.py | evanlouie/activelearning | 7ee6e9d2d795f85a441ad70e70ac0d8de9c25e31 | [
"MIT"
] | null | null | null | activelearning/settings.py | evanlouie/activelearning | 7ee6e9d2d795f85a441ad70e70ac0d8de9c25e31 | [
"MIT"
] | null | null | null | activelearning/settings.py | evanlouie/activelearning | 7ee6e9d2d795f85a441ad70e70ac0d8de9c25e31 | [
"MIT"
] | 1 | 2019-01-03T18:03:18.000Z | 2019-01-03T18:03:18.000Z | """
Django settings for activelearning project.
Generated by 'django-admin startproject' using Django 2.1.2.
For more information on this file, see
https://docs.djangoproject.com/en/2.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.1/ref/settings/
"""
impor... | 25.901639 | 90 | 0.705696 |
2a9ee1efeb8c721c00cc33cda209834c6a1353bd | 783 | py | Python | bacchus/celery.py | hudecof/bacchus | 1d7bafa2331535b27b336b42f07f8fe328f6d131 | [
"Apache-2.0"
] | 1 | 2020-04-15T14:31:48.000Z | 2020-04-15T14:31:48.000Z | bacchus/celery.py | hudecof/bacchus | 1d7bafa2331535b27b336b42f07f8fe328f6d131 | [
"Apache-2.0"
] | 4 | 2019-04-13T08:35:51.000Z | 2019-04-13T15:08:47.000Z | bacchus/celery.py | hudecof/bacchus | 1d7bafa2331535b27b336b42f07f8fe328f6d131 | [
"Apache-2.0"
] | 1 | 2019-03-25T07:48:29.000Z | 2019-03-25T07:48:29.000Z | from __future__ import absolute_import, unicode_literals
import os
from celery import Celery
# set the default Django settings module for the 'celery' program.
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'bacchus.settings')
app = Celery('bacchus')
# Using a string here means the worker don't have to serialize
# ... | 29 | 67 | 0.773946 |
998662d5fc197c662c69592197835dcd1578e87b | 2,468 | py | Python | js/analysis.py | Omar-Ceesay/2048-AI | 520a319b2f3cdf56e0f298e49e08cb7f0864b52c | [
"MIT"
] | null | null | null | js/analysis.py | Omar-Ceesay/2048-AI | 520a319b2f3cdf56e0f298e49e08cb7f0864b52c | [
"MIT"
] | null | null | null | js/analysis.py | Omar-Ceesay/2048-AI | 520a319b2f3cdf56e0f298e49e08cb7f0864b52c | [
"MIT"
] | null | null | null | import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from os import listdir
from os.path import isfile, join
import json
file_path = "./data"
all_data_files = [f for f in listdir(file_path) if isfile(join(file_path, f))]
all_data = []
for filename in all_data_files:
f = open("./data/"+filename, "... | 22.642202 | 113 | 0.561588 |
b7b81266e65b2023132e0196ca92bab0cd73f2d4 | 617 | py | Python | workload-traces/mysql/tpcc/extract_lock_names.py | spcl/vldb19-distributed-locking | efa9ffa4065cf17ccdf0b59672c173eb2d23934c | [
"MIT"
] | 8 | 2019-11-04T19:05:40.000Z | 2022-01-19T06:05:21.000Z | workload-traces/mysql/tpcc/extract_lock_names.py | spcl/vldb19-distributed-locking | efa9ffa4065cf17ccdf0b59672c173eb2d23934c | [
"MIT"
] | null | null | null | workload-traces/mysql/tpcc/extract_lock_names.py | spcl/vldb19-distributed-locking | efa9ffa4065cf17ccdf0b59672c173eb2d23934c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import fileinput
import json
from collections import OrderedDict
locks = set()
for line in fileinput.input():
data = json.loads(line)
# Get only lock events
if data.get('action') not in ['lock', 'unlock']:
continue
# Insert ware house where missing (home ware house by... | 24.68 | 88 | 0.672609 |
a9a988c3221786da4c41b780858f77a389d50793 | 550 | py | Python | thumbor/detectors/glasses_detector/__init__.py | jairhenrique/thumbor | fa29ba0efab2dd420c6840616a079756fd75293a | [
"MIT"
] | 6,837 | 2015-01-01T14:33:12.000Z | 2022-03-31T22:21:05.000Z | thumbor/detectors/glasses_detector/__init__.py | jairhenrique/thumbor | fa29ba0efab2dd420c6840616a079756fd75293a | [
"MIT"
] | 1,055 | 2015-01-03T22:22:05.000Z | 2022-03-31T21:56:17.000Z | thumbor/detectors/glasses_detector/__init__.py | jairhenrique/thumbor | fa29ba0efab2dd420c6840616a079756fd75293a | [
"MIT"
] | 744 | 2015-01-05T03:49:31.000Z | 2022-03-30T02:35:16.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
# thumbor imaging service
# https://github.com/thumbor/thumbor/wiki
# Licensed under the MIT license:
# http://www.opensource.org/licenses/mit-license
# Copyright (c) 2011 globo.com thumbor@googlegroups.com
from thumbor.detectors.local_detector import CascadeLoaderDetector
... | 30.555556 | 86 | 0.761818 |
4aa954cf6c840968e8d972c9934f8f658bedecb6 | 4,394 | py | Python | src/addit/ncf.py | HajimeKawahara/addit | 7b19006bd338d7887f1a600b66fc74fc72c21c70 | [
"MIT"
] | 3 | 2021-06-28T15:40:50.000Z | 2021-07-13T17:53:06.000Z | src/addit/ncf.py | HajimeKawahara/addit | 7b19006bd338d7887f1a600b66fc74fc72c21c70 | [
"MIT"
] | 4 | 2021-07-13T22:02:56.000Z | 2021-08-13T00:47:02.000Z | src/addit/ncf.py | HajimeKawahara/addit | 7b19006bd338d7887f1a600b66fc74fc72c21c70 | [
"MIT"
] | 1 | 2021-08-10T09:43:36.000Z | 2021-08-10T09:43:36.000Z | """Neighbouring Contribution Function (new version updated Aug 10th 2021)
* Assume a given x-grid xv[k], and a value x. For a 1D case, the Neighbouring Contribution Function gives ncf(k,x) = (x-xv[s])/dv for k=s, (xv[s]-x)/dv for k=s+1, and 0 elsewhere, where s is the nearest index of xv[k] to x but xv[k]<x.
* ... | 32.548148 | 239 | 0.565316 |
2aebd98258592fe26c2e32d74e3485c8f047ecb3 | 6,920 | py | Python | plugins/action/node_deployment.py | steinzi/ansible-ise | 0add9c8858ed8e0e5e7219fbaf0c936b6d7cc6c0 | [
"MIT"
] | null | null | null | plugins/action/node_deployment.py | steinzi/ansible-ise | 0add9c8858ed8e0e5e7219fbaf0c936b6d7cc6c0 | [
"MIT"
] | null | null | null | plugins/action/node_deployment.py | steinzi/ansible-ise | 0add9c8858ed8e0e5e7219fbaf0c936b6d7cc6c0 | [
"MIT"
] | null | null | null | from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
from ansible.plugins.action import ActionBase
try:
from ansible_collections.ansible.utils.plugins.module_utils.common.argspec_validate import (
AnsibleArgSpecValidator,
)
except ImportError:
ANSIBLE_UTILS_IS_INST... | 34.427861 | 128 | 0.606936 |
6d476c15a429eadd7dbd717a575d515102beb574 | 39,738 | py | Python | robot_sim/robots/ur3_dual/ur3_dual.py | liang324/wrs | 46eadec355c61a9c7bac1fa0f3cf419b2aac19aa | [
"MIT"
] | null | null | null | robot_sim/robots/ur3_dual/ur3_dual.py | liang324/wrs | 46eadec355c61a9c7bac1fa0f3cf419b2aac19aa | [
"MIT"
] | null | null | null | robot_sim/robots/ur3_dual/ur3_dual.py | liang324/wrs | 46eadec355c61a9c7bac1fa0f3cf419b2aac19aa | [
"MIT"
] | null | null | null | import os
import math
import numpy as np
import basis.robot_math as rm
import modeling.model_collection as mc
import modeling.collision_model as cm
import robot_sim._kinematics.jlchain as jl
import robot_sim.manipulators.ur3.ur3 as ur
import robot_sim.end_effectors.grippers.robotiq85.robotiq85 as rtq
from panda3d.core ... | 52.424802 | 121 | 0.555614 |
5a2a509d3147a39a338049132f2f0356fb20e1f4 | 4,513 | py | Python | lib/roi_data_layer/roidb.py | aaamourao/faster-rcnn.pytorch | e5f476360fbdc8af9ae6a4981b3eaac3b744cee9 | [
"MIT"
] | null | null | null | lib/roi_data_layer/roidb.py | aaamourao/faster-rcnn.pytorch | e5f476360fbdc8af9ae6a4981b3eaac3b744cee9 | [
"MIT"
] | null | null | null | lib/roi_data_layer/roidb.py | aaamourao/faster-rcnn.pytorch | e5f476360fbdc8af9ae6a4981b3eaac3b744cee9 | [
"MIT"
] | null | null | null | """Transform a roidb into a trainable roidb by adding a bunch of metadata."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import pickle
import datasets
import numpy as np
from model.utils.config import cfg
from datasets.factory import get_imdb... | 30.910959 | 77 | 0.662087 |
bce455de8873952dd4d49cf03dcb314bc8611f78 | 1,751 | py | Python | test/feature/test_scale_space_detector.py | tdchaitanya/kornia | 6dd16563f66f979c7a95846ef86678894b7d54fd | [
"Apache-2.0"
] | 1 | 2019-11-21T13:18:56.000Z | 2019-11-21T13:18:56.000Z | test/feature/test_scale_space_detector.py | tdchaitanya/kornia | 6dd16563f66f979c7a95846ef86678894b7d54fd | [
"Apache-2.0"
] | null | null | null | test/feature/test_scale_space_detector.py | tdchaitanya/kornia | 6dd16563f66f979c7a95846ef86678894b7d54fd | [
"Apache-2.0"
] | 2 | 2020-01-08T17:11:34.000Z | 2020-10-14T00:44:18.000Z | import pytest
import kornia.testing as utils # test utils
import kornia
from torch.testing import assert_allclose
from torch.autograd import gradcheck
from kornia.feature.scale_space_detector import *
class TestScaleSpaceDetector:
def test_shape(self):
inp = torch.rand(1, 1, 32, 32)
n_feats = 10... | 35.02 | 86 | 0.6008 |
8b861a4d6360161dcb30202dddad4ded13612036 | 4,504 | py | Python | slot/a/__init__.py | LorentzB/dl | c2af8498ba868abcd2ddb08eb9e4b4bb79594ba2 | [
"Apache-2.0"
] | 45 | 2018-12-30T14:19:37.000Z | 2021-01-28T08:16:41.000Z | slot/a/__init__.py | LorentzB/dl | c2af8498ba868abcd2ddb08eb9e4b4bb79594ba2 | [
"Apache-2.0"
] | 23 | 2019-01-07T22:32:00.000Z | 2019-10-04T10:23:02.000Z | slot/a/__init__.py | LorentzB/dl | c2af8498ba868abcd2ddb08eb9e4b4bb79594ba2 | [
"Apache-2.0"
] | 36 | 2019-01-11T21:38:02.000Z | 2021-01-28T08:16:53.000Z | from slot import *
from ability import Ability
from collections import defaultdict
class Amulet(AmuletBase):
a = []
def __init__(self):
self.mod = []
self.conf = Conf()
self.mmax = {
'a' : 0.20, # attack
's' : 0.40, # skill damage
... | 32.637681 | 141 | 0.37833 |
f8ce34cf1949eddb3fbe5b13b838cd17283a54af | 397 | py | Python | magma/config.py | Kuree/magma | be2439aa897768c5810be72e3a55a6f772ac83cf | [
"MIT"
] | null | null | null | magma/config.py | Kuree/magma | be2439aa897768c5810be72e3a55a6f772ac83cf | [
"MIT"
] | null | null | null | magma/config.py | Kuree/magma | be2439aa897768c5810be72e3a55a6f772ac83cf | [
"MIT"
] | null | null | null | __COMPILE_DIR = 'normal'
def set_compile_dir(target):
global __COMPILE_DIR
assert target in ['normal', 'callee_file_dir']
__COMPILE_DIR = target
def get_compile_dir():
return __COMPILE_DIR
__DEBUG_MODE = False
def set_debug_mode(value=True):
global __DEBUG_MODE
assert value in {True, Fal... | 15.88 | 50 | 0.725441 |
c09f30d44726e2b15a51003e0329ee3d1c49e5a9 | 13,739 | py | Python | python/oneflow/nn/modules/constant.py | L-Net-1992/oneflow | 4dc08d65caea36fdd137841ac95551218897e730 | [
"Apache-2.0"
] | 1 | 2022-03-14T11:17:56.000Z | 2022-03-14T11:17:56.000Z | python/oneflow/nn/modules/constant.py | L-Net-1992/oneflow | 4dc08d65caea36fdd137841ac95551218897e730 | [
"Apache-2.0"
] | null | null | null | python/oneflow/nn/modules/constant.py | L-Net-1992/oneflow | 4dc08d65caea36fdd137841ac95551218897e730 | [
"Apache-2.0"
] | 1 | 2021-12-15T02:14:49.000Z | 2021-12-15T02:14:49.000Z | """
Copyright 2020 The OneFlow Authors. All rights reserved.
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 or agr... | 36.442971 | 196 | 0.628576 |
dd8b44021ee9134ebd2a4d988f8f4d28a476fdbd | 3,543 | py | Python | lz4steg.py | jvarho/lz77steg | 09b78ed226139e554d21fc52b599502661d81a3a | [
"MIT"
] | null | null | null | lz4steg.py | jvarho/lz77steg | 09b78ed226139e554d21fc52b599502661d81a3a | [
"MIT"
] | null | null | null | lz4steg.py | jvarho/lz77steg | 09b78ed226139e554d21fc52b599502661d81a3a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#
# Copyright (c) 2014, Jan Varho <jan@varho.org>
# Some rights reserved, see COPYING
import argparse
import sys
from lz77steg import LZ77Steg, _hash
class LZ4Steg(LZ77Steg):
TOK_LITERAL = 1
TOK_MATCH = 2
def init(self, cover):
super(LZ4Steg, self).init(cover)
se... | 29.525 | 80 | 0.544736 |
c31eead604399b77c2a3111c2ca12b71f51b722a | 12,036 | py | Python | zerver/data_import/gitter.py | pranayshahxyz/zulip | 3da483487af79fde9dce2d21124dfa39b94936a5 | [
"Apache-2.0"
] | 1 | 2020-04-09T18:34:44.000Z | 2020-04-09T18:34:44.000Z | zerver/data_import/gitter.py | pranayshahxyz/zulip | 3da483487af79fde9dce2d21124dfa39b94936a5 | [
"Apache-2.0"
] | null | null | null | zerver/data_import/gitter.py | pranayshahxyz/zulip | 3da483487af79fde9dce2d21124dfa39b94936a5 | [
"Apache-2.0"
] | null | null | null | import os
import dateutil.parser
import logging
import subprocess
import ujson
from django.conf import settings
from django.forms.models import model_to_dict
from django.utils.timezone import now as timezone_now
from typing import Any, Dict, List, Set, Tuple
from zerver.models import UserProfile, Recipient
from zerve... | 42.083916 | 108 | 0.640329 |
44d7a50a47788884bd8198a0fa340ce382afe25b | 3,823 | py | Python | dhcp/forms.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 22 | 2015-01-16T01:36:32.000Z | 2020-06-08T00:46:18.000Z | dhcp/forms.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 9 | 2019-03-15T11:39:32.000Z | 2019-04-30T00:59:50.000Z | dhcp/forms.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 13 | 2015-01-13T20:56:22.000Z | 2022-02-23T06:01:17.000Z | from django import forms
from django.forms.extras.widgets import SelectDateWidget
import models
class AddDHCPScopeForm(forms.Form):
scope_name = forms.CharField(max_length=32, required=True, widget=forms.TextInput(attrs={'size':'48'}))
scope_description = forms.CharField(max_length=32, required=True, widget=f... | 50.302632 | 123 | 0.588805 |
faeafd869188374215d860a3e647c2b440b2371f | 418 | py | Python | vtkplotter_examples/volumetric/probePlaneUGrid.py | ismarou/vtkplotter-examples | 1eefcc026be169ab7a77a5bce6dec8044c33b554 | [
"MIT"
] | 4 | 2020-07-30T02:38:29.000Z | 2021-09-12T14:30:18.000Z | vtkplotter_examples/volumetric/probePlaneUGrid.py | ismarou/vtkplotter-examples | 1eefcc026be169ab7a77a5bce6dec8044c33b554 | [
"MIT"
] | null | null | null | vtkplotter_examples/volumetric/probePlaneUGrid.py | ismarou/vtkplotter-examples | 1eefcc026be169ab7a77a5bce6dec8044c33b554 | [
"MIT"
] | null | null | null | """Probe a vtkUnStructuredGrid with a plane"""
from vtkplotter import *
# same could be done with vtkRectilinearGrid etc..
data = loadUnStructuredGrid(datadir+"ugrid.vtk")
# create the outline of the data
outermesh = Mesh(data).alpha(0.2).wireframe()
orig = data.GetCenter()
pl = probePlane(data, origin=orig, normal=... | 24.588235 | 54 | 0.727273 |
58c6d8c54c31cdf1aae4643f65e4ab4e67bc8c3f | 731 | py | Python | release/stubs.min/System/Windows/Forms/__init___parts/ListViewItemMouseHoverEventArgs.py | tranconbv/ironpython-stubs | a601759e6c6819beff8e6b639d18a24b7e351851 | [
"MIT"
] | null | null | null | release/stubs.min/System/Windows/Forms/__init___parts/ListViewItemMouseHoverEventArgs.py | tranconbv/ironpython-stubs | a601759e6c6819beff8e6b639d18a24b7e351851 | [
"MIT"
] | null | null | null | release/stubs.min/System/Windows/Forms/__init___parts/ListViewItemMouseHoverEventArgs.py | tranconbv/ironpython-stubs | a601759e6c6819beff8e6b639d18a24b7e351851 | [
"MIT"
] | null | null | null | class ListViewItemMouseHoverEventArgs(EventArgs):
"""
Provides data for the System.Windows.Forms.ListView.ItemMouseHover event.
ListViewItemMouseHoverEventArgs(item: ListViewItem)
"""
def Instance(self):
""" This function has been arbitrarily put into the stubs"""
return ListViewItemMouseHoverEvent... | 28.115385 | 76 | 0.70725 |
79813757233743f26c579fa95ec121acc5f9ff67 | 261 | py | Python | pyvisdk/enums/host_unresolved_vmfs_resolution_spec_vmfs_uuid_resolution.py | Infinidat/pyvisdk | f2f4e5f50da16f659ccc1d84b6a00f397fa997f8 | [
"MIT"
] | null | null | null | pyvisdk/enums/host_unresolved_vmfs_resolution_spec_vmfs_uuid_resolution.py | Infinidat/pyvisdk | f2f4e5f50da16f659ccc1d84b6a00f397fa997f8 | [
"MIT"
] | null | null | null | pyvisdk/enums/host_unresolved_vmfs_resolution_spec_vmfs_uuid_resolution.py | Infinidat/pyvisdk | f2f4e5f50da16f659ccc1d84b6a00f397fa997f8 | [
"MIT"
] | null | null | null |
########################################
# Automatically generated, do not edit.
########################################
from pyvisdk.thirdparty import Enum
HostUnresolvedVmfsResolutionSpecVmfsUuidResolution = Enum(
'forceMount',
'resignature',
)
| 18.642857 | 58 | 0.524904 |
30ddcd586781074a0952c680467261ec209612bf | 5,871 | py | Python | C/.ycm_extra_conf.py | Kwpolska/roman_numerals | 887e648a39fa73583f4b7cf330436f94bf88325e | [
"BSD-3-Clause"
] | null | null | null | C/.ycm_extra_conf.py | Kwpolska/roman_numerals | 887e648a39fa73583f4b7cf330436f94bf88325e | [
"BSD-3-Clause"
] | null | null | null | C/.ycm_extra_conf.py | Kwpolska/roman_numerals | 887e648a39fa73583f4b7cf330436f94bf88325e | [
"BSD-3-Clause"
] | null | null | null | # This file is NOT licensed under the GPLv3, which is the license for the rest
# of YouCompleteMe.
#
# Here's the license text for this file:
#
# This is free and unencumbered software released into the public domain.
#
# Anyone is free to copy, modify, publish, use, compile, sell, or
# distribute this software, either... | 35.79878 | 80 | 0.720491 |
5ce744a9d09ba9ccc548371f8d8c425687b14425 | 3,558 | py | Python | sktime/forecasting/compose/_ensemble.py | MFaroukB/sktime | 29932fc071ab04797bc2f5c00cd533726b31eb46 | [
"BSD-3-Clause"
] | null | null | null | sktime/forecasting/compose/_ensemble.py | MFaroukB/sktime | 29932fc071ab04797bc2f5c00cd533726b31eb46 | [
"BSD-3-Clause"
] | null | null | null | sktime/forecasting/compose/_ensemble.py | MFaroukB/sktime | 29932fc071ab04797bc2f5c00cd533726b31eb46 | [
"BSD-3-Clause"
] | 1 | 2021-04-30T08:12:18.000Z | 2021-04-30T08:12:18.000Z | #!/usr/bin/env python3 -u
# -*- coding: utf-8 -*-
# copyright: sktime developers, BSD-3-Clause License (see LICENSE file)
__author__ = ["Markus Löning"]
__all__ = ["EnsembleForecaster"]
import pandas as pd
from sktime.forecasting.base._base import DEFAULT_ALPHA
from sktime.forecasting.base._meta import _Heterogenous... | 31.767857 | 88 | 0.61692 |
e88f5c7e5c5526a23be42528470ea313e6284e45 | 420 | py | Python | app/commands.py | nattesharan/delhivery | 3ef419d403b27fc490a8557590d81f50a8dbfc4f | [
"MIT"
] | 2 | 2019-06-02T04:32:54.000Z | 2021-01-05T12:27:50.000Z | app/commands.py | nattesharan/delhivery | 3ef419d403b27fc490a8557590d81f50a8dbfc4f | [
"MIT"
] | null | null | null | app/commands.py | nattesharan/delhivery | 3ef419d403b27fc490a8557590d81f50a8dbfc4f | [
"MIT"
] | null | null | null | from flask_script import Command
from app.settings import ROLES
from delhivery.models import DelhiveryHierarchy
class CreateRoles(Command):
def run(self):
print("Creating roles in database")
for role in ROLES:
DelhiveryHierarchy.objects.create(name=role['name'], role=role['role'], featu... | 35 | 110 | 0.730952 |
15552e06d8192e717651395e0c5336c7682d37ce | 15,273 | py | Python | src/gluonts/model/san/_layers.py | unibeck/gluon-ts | 73d0e9de689ab4bb014cdb4423642dff030e7678 | [
"Apache-2.0"
] | 1 | 2019-10-15T01:47:40.000Z | 2019-10-15T01:47:40.000Z | src/gluonts/model/san/_layers.py | unibeck/gluon-ts | 73d0e9de689ab4bb014cdb4423642dff030e7678 | [
"Apache-2.0"
] | null | null | null | src/gluonts/model/san/_layers.py | unibeck/gluon-ts | 73d0e9de689ab4bb014cdb4423642dff030e7678 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license... | 35.191244 | 95 | 0.521443 |
b9f14e24661a562864244ce1401a8c6a7371104d | 2,287 | py | Python | logic/reserved/save_row.py | rdevost/pymixup | 9004fbdc7939033014b0eefa669056014647a0c8 | [
"MIT"
] | 5 | 2017-01-02T15:12:31.000Z | 2021-09-03T15:51:39.000Z | logic/reserved/save_row.py | rdevost/pymixup | 9004fbdc7939033014b0eefa669056014647a0c8 | [
"MIT"
] | null | null | null | logic/reserved/save_row.py | rdevost/pymixup | 9004fbdc7939033014b0eefa669056014647a0c8 | [
"MIT"
] | 1 | 2021-09-03T15:51:41.000Z | 2021-09-03T15:51:41.000Z | from peewee import IntegrityError, DoesNotExist
from data.base import obfuscatedb
from data.save_row import save_row
from logic.reserved import reserved_prefixes
def save_reserved(reserved_row, **kwargs):
"""Save a Reserved row."""
from logic.identifier import get_identifier_by_name, \
get_identifier... | 35.184615 | 77 | 0.609532 |
f01e4e692f228accacfe185a6c2aef5402234333 | 10,821 | py | Python | tensorflow_transform/coders/example_proto_coder_test.py | devidipak/transform | 56efe455b29fa3d0a29ce2f8872adc41ed6012c3 | [
"Apache-2.0"
] | 2 | 2021-07-19T02:00:30.000Z | 2021-07-19T02:00:37.000Z | tensorflow_transform/coders/example_proto_coder_test.py | devidipak/transform | 56efe455b29fa3d0a29ce2f8872adc41ed6012c3 | [
"Apache-2.0"
] | null | null | null | tensorflow_transform/coders/example_proto_coder_test.py | devidipak/transform | 56efe455b29fa3d0a29ce2f8872adc41ed6012c3 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
#
# Copyright 2017 Google Inc. All Rights Reserved.
#
# 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 ap... | 39.349091 | 86 | 0.651049 |
abe3a1d1717f7c2c95e1e56375fac48249fea210 | 23,334 | py | Python | Main.py | dydx-git/Calcy | fba4510220599a1a148dad15da0cbb508905034c | [
"MIT"
] | null | null | null | Main.py | dydx-git/Calcy | fba4510220599a1a148dad15da0cbb508905034c | [
"MIT"
] | null | null | null | Main.py | dydx-git/Calcy | fba4510220599a1a148dad15da0cbb508905034c | [
"MIT"
] | null | null | null | #<--------------------------------------------------------------------------------------IMPORTS------------------------------------------------------------------------>
from tkinter import *
import add, subtract, multiply, divide, sin, cos, tan, asin, acos, atan, sinh, cosh, tanh, asinh, acosh, atanh, log, ln, x2, xy... | 39.085427 | 180 | 0.577955 |
f6eff9e897288c7563a293b83e2a0c82907ad90e | 632 | py | Python | jass/mongo_utils.py | crim-ca/JASS | 8a2d0bdd4cb50021c890fbb3059e75fa6f9adebb | [
"MIT",
"Python-2.0",
"BSD-2-Clause",
"Apache-2.0"
] | 1 | 2017-01-18T13:05:21.000Z | 2017-01-18T13:05:21.000Z | jass/mongo_utils.py | crim-ca/JASS | 8a2d0bdd4cb50021c890fbb3059e75fa6f9adebb | [
"MIT",
"Python-2.0",
"BSD-2-Clause",
"Apache-2.0"
] | null | null | null | jass/mongo_utils.py | crim-ca/JASS | 8a2d0bdd4cb50021c890fbb3059e75fa6f9adebb | [
"MIT",
"Python-2.0",
"BSD-2-Clause",
"Apache-2.0"
] | 1 | 2017-05-18T18:38:53.000Z | 2017-05-18T18:38:53.000Z | #!/usr/bin/env python
# coding:utf-8
"""
Various utilities for mongoDB usage.
"""
from bson.objectid import ObjectId
def changeDocIdToString(mongoDoc):
"""
Changes the _id to string.
Will crash if mongoDoc is not a valid Mongo Document
"""
if(mongoDoc is not None):
mongoDoc['_id'] = str(... | 20.387097 | 68 | 0.664557 |
051ca1df8e3e82a4bdd0c9d489e4643cfa3fbb5b | 4,386 | py | Python | generate.py | CodeProcessor/python-project-template | 5dd9c461aca011458d2f52ccd0b67f3ffa90254b | [
"MIT"
] | null | null | null | generate.py | CodeProcessor/python-project-template | 5dd9c461aca011458d2f52ccd0b67f3ffa90254b | [
"MIT"
] | null | null | null | generate.py | CodeProcessor/python-project-template | 5dd9c461aca011458d2f52ccd0b67f3ffa90254b | [
"MIT"
] | null | null | null | """
Copyright (C) CUBE Content Governance Global Limited - All Rights Reserved
Unauthorized copying of this file, via any medium is strictly prohibited
Proprietary and confidential
Written by Dulan Jayasuriya <dulan.jayasuriya@cube.global>, 11 February 2022
"""
import json
import os.path
from datetime import datetime
... | 36.247934 | 127 | 0.618103 |
f58d2ccac4af29972b878702f522bd7071a45924 | 2,106 | py | Python | generateDates.py | Husterknupp/2020-oster-squash | 43e8742c89ad1225119e8d2c4d2dba6a2914dd0d | [
"MIT"
] | 1 | 2020-03-06T16:06:00.000Z | 2020-03-06T16:06:00.000Z | generateDates.py | Husterknupp/2020-oster-squash | 43e8742c89ad1225119e8d2c4d2dba6a2914dd0d | [
"MIT"
] | 1 | 2021-06-10T18:36:46.000Z | 2021-06-10T18:36:46.000Z | generateDates.py | Husterknupp/2020-oster-squash | 43e8742c89ad1225119e8d2c4d2dba6a2914dd0d | [
"MIT"
] | 1 | 2020-03-05T23:38:21.000Z | 2020-03-05T23:38:21.000Z | # 2017-09-14T03:21:47.070-04:00
# VERSION 3
days = {}
for day in range(7, 12):
timeFrames = []
for hour in range(14, 18):
timeFrames.append(hour)
days[day] = timeFrames
for day, hours in days.items():
if day < 10:
print(f'{{day: "2020-04-0{day}", hours: {hours}}}')
else:
pr... | 26.325 | 65 | 0.575024 |
5b9d1385a38db639b838aaf556603ad2f7af03c9 | 895 | py | Python | lightkit/nn/_protocols.py | borchero/lightkit | 725cde3dff1cfbccf78bf10b9e922145a43959ca | [
"MIT"
] | 1 | 2022-01-26T07:58:04.000Z | 2022-01-26T07:58:04.000Z | lightkit/nn/_protocols.py | borchero/lightkit | 725cde3dff1cfbccf78bf10b9e922145a43959ca | [
"MIT"
] | null | null | null | lightkit/nn/_protocols.py | borchero/lightkit | 725cde3dff1cfbccf78bf10b9e922145a43959ca | [
"MIT"
] | null | null | null | # pylint: disable=missing-class-docstring,missing-function-docstring
from typing import Generic, Iterator, OrderedDict, Protocol, Tuple, Type, TypeVar
import torch
from torch import nn
from lightkit.utils import PathType
C = TypeVar("C", covariant=True)
M = TypeVar("M", bound="ConfigurableModule") # type: ignore
cl... | 26.323529 | 82 | 0.64581 |
7b5a18350f540be7cf4eaf8053f1a8c17a766f2c | 1,120 | py | Python | setup.py | kbarnhart/corebreakout | fa8dc7575b330b7c1ce47a35b44deca7856bd05c | [
"MIT"
] | 20 | 2019-12-09T23:56:32.000Z | 2021-08-11T18:57:59.000Z | setup.py | kbarnhart/corebreakout | fa8dc7575b330b7c1ce47a35b44deca7856bd05c | [
"MIT"
] | 13 | 2019-11-05T00:13:39.000Z | 2021-08-20T19:08:13.000Z | setup.py | kbarnhart/corebreakout | fa8dc7575b330b7c1ce47a35b44deca7856bd05c | [
"MIT"
] | 12 | 2019-12-12T17:35:44.000Z | 2021-10-05T05:45:49.000Z | #!/usr/bin/env python3
import os
from setuptools import find_packages
try:
from setuptools import setup
except ImportError:
raise UserWarning('`distutils` is not supported since you must use Python>=3.6')
try:
import tensorflow
except ImportError:
raise UserWarning('`tensorflow` or `tensorflow-gpu` mu... | 23.829787 | 100 | 0.68125 |
e4bc7012aeb298951ce85df5077a9bd74ccebb69 | 213 | py | Python | project_system/config/desktop.py | pradyotr/frappe-project-sys | ec4bc793e445ddd8f37f286e30f329369b51bb11 | [
"MIT"
] | null | null | null | project_system/config/desktop.py | pradyotr/frappe-project-sys | ec4bc793e445ddd8f37f286e30f329369b51bb11 | [
"MIT"
] | null | null | null | project_system/config/desktop.py | pradyotr/frappe-project-sys | ec4bc793e445ddd8f37f286e30f329369b51bb11 | [
"MIT"
] | null | null | null | from frappe import _
def get_data():
return [
{
"module_name": "Project System",
"color": "grey",
"icon": "octicon octicon-file-directory",
"type": "module",
"label": _("Project System")
}
]
| 16.384615 | 44 | 0.596244 |
14be349ed04493c43141190033835920909e1dae | 369 | py | Python | projects/migrations/0004_rename_name_userprofile_username.py | sling254/msHackthorn | 82fb627c9e521e1a24c583b28c63df44db7860d9 | [
"MIT"
] | null | null | null | projects/migrations/0004_rename_name_userprofile_username.py | sling254/msHackthorn | 82fb627c9e521e1a24c583b28c63df44db7860d9 | [
"MIT"
] | null | null | null | projects/migrations/0004_rename_name_userprofile_username.py | sling254/msHackthorn | 82fb627c9e521e1a24c583b28c63df44db7860d9 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.9 on 2021-12-11 20:48
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('projects', '0003_auto_20211211_2255'),
]
operations = [
migrations.RenameField(
model_name='userprofile',
old_name='name',
... | 19.421053 | 48 | 0.590786 |
9f6503581e582d13b54be9ade22689a2e1f432d8 | 2,120 | py | Python | utils/models_utils.py | ermekaitygulov/STIT | 93dca8d589b555fa99a5c5438a8517a52d8898c3 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | 6 | 2022-03-11T23:42:12.000Z | 2022-03-28T09:39:25.000Z | utils/models_utils.py | bycloudai/STIT-Windows | cadb2a01457bfd1c90bcd8d220587b48e1c2327a | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | utils/models_utils.py | bycloudai/STIT-Windows | cadb2a01457bfd1c90bcd8d220587b48e1c2327a | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | import copy
import pickle
from argparse import Namespace
import torch
from configs import paths_config, global_config
from models.e4e.psp import pSp
from training.networks import Generator
def save_tuned_G(generator, pivots, quads, run_id):
generator = copy.deepcopy(generator).cpu()
pivots = copy.deepcopy(p... | 31.641791 | 95 | 0.713208 |
1cfc4917b463b78e9058131327b07dce7af2d133 | 39,145 | py | Python | job_search-ad_targeting-search_engine-advanced_use_cases.py | MDRCS/Redis | 5315ce48d4a771f14129efe8bd2deefcec465f24 | [
"MIT"
] | null | null | null | job_search-ad_targeting-search_engine-advanced_use_cases.py | MDRCS/Redis | 5315ce48d4a771f14129efe8bd2deefcec465f24 | [
"MIT"
] | null | null | null | job_search-ad_targeting-search_engine-advanced_use_cases.py | MDRCS/Redis | 5315ce48d4a771f14129efe8bd2deefcec465f24 | [
"MIT"
] | null | null | null |
import math
import re
import unittest
import uuid
import redis
# Search Engine - Use case :
AVERAGE_PER_1K = {}
# <start id="tokenize-and-index"/>
STOP_WORDS = set('''able about across after all almost also am among
an and any are as at be because been but by can cannot could dear did
do does either else ever ever... | 44.994253 | 192 | 0.567557 |
98190be3cb4d7cd798c48d3d94ec4f5848355f07 | 2,072 | py | Python | backend/pharmacy/api/views/medical/medicine.py | rahul007-bit/pharmaService | 73191f64569eae7c7851f5b7bf9187f3f01b7a6e | [
"MIT"
] | 4 | 2022-01-28T13:05:07.000Z | 2022-01-31T12:24:56.000Z | backend/pharmacy/api/views/medical/medicine.py | rahul007-bit/pharmaService | 73191f64569eae7c7851f5b7bf9187f3f01b7a6e | [
"MIT"
] | 6 | 2022-01-30T11:53:31.000Z | 2022-02-02T06:17:30.000Z | backend/pharmacy/api/views/medical/medicine.py | rahul007-bit/pharmaService | 73191f64569eae7c7851f5b7bf9187f3f01b7a6e | [
"MIT"
] | 3 | 2022-01-28T13:41:03.000Z | 2022-01-30T12:23:11.000Z | # pylint: disable=missing-module-docstring
#
# Copyright (C) 2022 by YadavGulshan@Github, < https://github.com/YadavGulshan >.
#
# This file is part of < https://github.com/Yadavgulshan/pharmaService > project,
# and is released under the "BSD 3-Clause License Agreement".
# Please see < https://github.com/YadavGulshan/... | 35.724138 | 85 | 0.726834 |
00345485045dc5f4f7fed4443a3b831e24371cee | 4,740 | py | Python | test/unit/test_cmdline.py | jsiverskog/pyOCD | 8b75633482a2f1856a8ab6af9ebb5c1b2f9d8285 | [
"Apache-2.0"
] | 1 | 2020-07-11T09:24:25.000Z | 2020-07-11T09:24:25.000Z | test/unit/test_cmdline.py | ARMmbed/pyOCD-Samsung | 03242b6eb57d2170a4b531d00f1a0577e2b0abde | [
"Apache-2.0"
] | null | null | null | test/unit/test_cmdline.py | ARMmbed/pyOCD-Samsung | 03242b6eb57d2170a4b531d00f1a0577e2b0abde | [
"Apache-2.0"
] | null | null | null | # pyOCD debugger
# Copyright (c) 2015,2018-2019 Arm Limited
# SPDX-License-Identifier: Apache-2.0
#
# 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/LICENS... | 41.217391 | 100 | 0.65211 |
662f721e6bf897cea9dd650362875a4f927de112 | 3,595 | py | Python | tests/unit/test_protocol_errors.py | dcolligan/ga4gh-server | dd0b00a52de9684609b7f04a9d70946c36afa8a5 | [
"Apache-2.0"
] | 83 | 2015-01-05T22:21:11.000Z | 2017-02-20T01:25:28.000Z | tests/unit/test_protocol_errors.py | dcolligan/ga4gh-server | dd0b00a52de9684609b7f04a9d70946c36afa8a5 | [
"Apache-2.0"
] | 1,508 | 2015-01-02T14:06:12.000Z | 2017-03-08T19:49:18.000Z | tests/unit/test_protocol_errors.py | dcolligan/ga4gh-server | dd0b00a52de9684609b7f04a9d70946c36afa8a5 | [
"Apache-2.0"
] | 99 | 2015-01-14T20:48:56.000Z | 2017-03-08T18:35:06.000Z | """
Unit tests for frontend error conditions.
"""
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
import ga4gh.server.frontend as frontend
import ga4gh.server.exceptions as exceptions
import ga4gh.schemas.protocol as protocol
class TestF... | 38.244681 | 79 | 0.664256 |
8639cebd5b3ff50ceacb82ea2b2485b775145b52 | 1,115 | py | Python | pacific-factbook/flag.py | kaunta/pacific-factbook | ccf3f08c0d6121d852e5dd0319e21e0a9ec44e3d | [
"MIT"
] | 5 | 2020-01-23T04:08:46.000Z | 2020-04-02T05:19:34.000Z | pacific-factbook/flag.py | kaunta/pacific-factbook | ccf3f08c0d6121d852e5dd0319e21e0a9ec44e3d | [
"MIT"
] | 23 | 2019-11-22T01:56:54.000Z | 2020-02-08T23:45:10.000Z | pacific-factbook/flag.py | kaunta/pacific-factbook | ccf3f08c0d6121d852e5dd0319e21e0a9ec44e3d | [
"MIT"
] | null | null | null | from fractions import Fraction
from random import choice
def generate() -> str:
"""
Generate a random flag. Outputs SVG blob.
"""
colors = set("red blue white green yellow black orange brown gray purple".split())
color_background = choice(list(colors))
color_shape = choice(list(colors - {colo... | 31.857143 | 152 | 0.584753 |
37bfa76cc51a0d3dcd589ba75b34bc72511475c3 | 6,723 | py | Python | lighttpd/datadog_checks/lighttpd/lighttpd.py | glasser/integrations-core | 1dd515d49b1690a1369ee5195713605b1b072b1f | [
"BSD-3-Clause"
] | null | null | null | lighttpd/datadog_checks/lighttpd/lighttpd.py | glasser/integrations-core | 1dd515d49b1690a1369ee5195713605b1b072b1f | [
"BSD-3-Clause"
] | null | null | null | lighttpd/datadog_checks/lighttpd/lighttpd.py | glasser/integrations-core | 1dd515d49b1690a1369ee5195713605b1b072b1f | [
"BSD-3-Clause"
] | null | null | null | # (C) Datadog, Inc. 2010-2017
# All rights reserved
# Licensed under Simplified BSD License (see LICENSE)
import re
import requests
from six.moves.urllib.parse import urlparse
from datadog_checks.checks import AgentCheck
VERSION_REGEX = re.compile(r".*/(\d)")
class Lighttpd(AgentCheck):
"""Tracks basic connec... | 41.5 | 119 | 0.625614 |
233391949dea48d8da274bc5b7e7be2c1ffac7f7 | 3,568 | py | Python | sdks/python/appcenter_sdk/models/BlobInfo.py | Brantone/appcenter-sdks | eeb063ecf79908b6e341fb00196d2cd9dc8f3262 | [
"MIT"
] | null | null | null | sdks/python/appcenter_sdk/models/BlobInfo.py | Brantone/appcenter-sdks | eeb063ecf79908b6e341fb00196d2cd9dc8f3262 | [
"MIT"
] | 6 | 2019-10-23T06:38:53.000Z | 2022-01-22T07:57:58.000Z | sdks/python/appcenter_sdk/models/BlobInfo.py | Brantone/appcenter-sdks | eeb063ecf79908b6e341fb00196d2cd9dc8f3262 | [
"MIT"
] | 2 | 2019-10-23T06:31:05.000Z | 2021-08-21T17:32:47.000Z | # coding: utf-8
"""
App Center Client
Microsoft Visual Studio App Center API # noqa: E501
OpenAPI spec version: preview
Contact: benedetto.abbenanti@gmail.com
Project Repository: https://github.com/b3nab/appcenter-sdks
"""
import pprint
import re # noqa: F401
import six
class BlobInfo(objec... | 26.043796 | 90 | 0.539238 |
2501b593dd91359dd470ec59d0b5a796aa1d77c7 | 13,195 | py | Python | GeoHealthCheck/probe.py | SteveR1984/GeoHealthCheck | 52a13c1bd42e79dec547fa29324d583aea5e3773 | [
"MIT"
] | null | null | null | GeoHealthCheck/probe.py | SteveR1984/GeoHealthCheck | 52a13c1bd42e79dec547fa29324d583aea5e3773 | [
"MIT"
] | null | null | null | GeoHealthCheck/probe.py | SteveR1984/GeoHealthCheck | 52a13c1bd42e79dec547fa29324d583aea5e3773 | [
"MIT"
] | null | null | null | import logging
import sys
import datetime
import requests
from factory import Factory
from init import App
from plugin import Plugin
from result import ProbeResult
LOGGER = logging.getLogger(__name__)
class Probe(Plugin):
"""
Base class for specific implementations to run a Probe with Checks.
Most Pr... | 33.070175 | 78 | 0.59371 |
b20f5bb5243c099ecde48102e2c5b3241ad8c242 | 1,215 | py | Python | blog/feeds.py | josephdubon/boilerplate_dubon_django_blog | 1dbe470006be066b12dd6486eb26a41d304206f8 | [
"Unlicense",
"MIT"
] | null | null | null | blog/feeds.py | josephdubon/boilerplate_dubon_django_blog | 1dbe470006be066b12dd6486eb26a41d304206f8 | [
"Unlicense",
"MIT"
] | 2 | 2021-06-10T20:43:00.000Z | 2021-09-22T19:55:41.000Z | blog/feeds.py | josephdubon/boilerplate_dubon_django_blog | 1dbe470006be066b12dd6486eb26a41d304206f8 | [
"Unlicense",
"MIT"
] | null | null | null | from django.contrib.syndication.views import Feed
from django.template.defaultfilters import truncatewords
from django.urls import reverse_lazy
from .models import Post
# First subclass the Feed class of the syndication framework
class LatestPostFeed(Feed):
# The title, link, and description attributes correspon... | 40.5 | 105 | 0.721811 |
732af64a825fbb52eff7ca5348fcccf84ffaf7b6 | 6,857 | py | Python | tests/unit/python/foglamp/services/core/api/test_plugin_discovery_api.py | christoofar/FogLAMP | 3aaae302104038a8534c54ff8a3ed0fefd4f3201 | [
"Apache-2.0"
] | null | null | null | tests/unit/python/foglamp/services/core/api/test_plugin_discovery_api.py | christoofar/FogLAMP | 3aaae302104038a8534c54ff8a3ed0fefd4f3201 | [
"Apache-2.0"
] | null | null | null | tests/unit/python/foglamp/services/core/api/test_plugin_discovery_api.py | christoofar/FogLAMP | 3aaae302104038a8534c54ff8a3ed0fefd4f3201 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# FOGLAMP_BEGIN
# See: http://foglamp.readthedocs.io/
# FOGLAMP_END
import json
from unittest.mock import patch
import pytest
from aiohttp import web
from foglamp.services.core import routes
from foglamp.common.plugin_discovery import PluginDiscovery
__author__ = "Ashish Jabble"
__copyright_... | 62.336364 | 450 | 0.612221 |
996b118d17d717560f4a0af453b7ab64ecd26aa2 | 14,016 | py | Python | bcbio/variation/freebayes.py | SciLifeLab/bcbio-nextgen | 370b3f316c423b41523accc5e212d51a5b7ecaa9 | [
"MIT"
] | 3 | 2015-11-18T07:17:54.000Z | 2021-04-28T13:58:37.000Z | bcbio/variation/freebayes.py | SciLifeLab/bcbio-nextgen | 370b3f316c423b41523accc5e212d51a5b7ecaa9 | [
"MIT"
] | null | null | null | bcbio/variation/freebayes.py | SciLifeLab/bcbio-nextgen | 370b3f316c423b41523accc5e212d51a5b7ecaa9 | [
"MIT"
] | null | null | null | """Bayesian variant calling with FreeBayes.
https://github.com/ekg/freebayes
"""
import os
import sys
from bcbio import bam, utils
from bcbio.distributed.transaction import file_transaction
from bcbio.pipeline import config_utils
from bcbio.pipeline.shared import subset_variant_regions
from bcbio.provenance import d... | 46.564784 | 111 | 0.625571 |
059477a5e9673a4c2633fe2f8f66cc7e6ad70934 | 722 | py | Python | dataworkspace/dataworkspace/apps/core/migrations/0009_alter_newslettersubscription_user.py | uktrade/analysis-workspace | 2de79c6172cf391c1954ca3789c5c0dc0030ec25 | [
"MIT"
] | 1 | 2019-06-10T08:22:56.000Z | 2019-06-10T08:22:56.000Z | dataworkspace/dataworkspace/apps/core/migrations/0009_alter_newslettersubscription_user.py | uktrade/analysis-workspace | 2de79c6172cf391c1954ca3789c5c0dc0030ec25 | [
"MIT"
] | 2 | 2019-05-17T13:10:42.000Z | 2019-06-17T10:48:46.000Z | dataworkspace/dataworkspace/apps/core/migrations/0009_alter_newslettersubscription_user.py | uktrade/analysis-workspace | 2de79c6172cf391c1954ca3789c5c0dc0030ec25 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.13 on 2022-05-30 16:36
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
("core", "0008_newsletter... | 26.740741 | 66 | 0.620499 |
92bef292d32f033bf6fc1a3129d3ad91496c15f1 | 735 | py | Python | third_party/WebKit/LayoutTests/http/tests/websocket/count-received-bytes_wsh.py | google-ar/chromium | 2441c86a5fd975f09a6c30cddb57dfb7fc239699 | [
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 777 | 2017-08-29T15:15:32.000Z | 2022-03-21T05:29:41.000Z | third_party/WebKit/LayoutTests/http/tests/websocket/count-received-bytes_wsh.py | harrymarkovskiy/WebARonARCore | 2441c86a5fd975f09a6c30cddb57dfb7fc239699 | [
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 66 | 2017-08-30T18:31:18.000Z | 2021-08-02T10:59:35.000Z | third_party/WebKit/LayoutTests/http/tests/websocket/count-received-bytes_wsh.py | harrymarkovskiy/WebARonARCore | 2441c86a5fd975f09a6c30cddb57dfb7fc239699 | [
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 123 | 2017-08-30T01:19:34.000Z | 2022-03-17T22:55:31.000Z | # Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import codecs
def web_socket_do_extra_handshake(request):
request.ws_extension_processors = []
request.received_bytes = 0
def web_socket_transfe... | 27.222222 | 72 | 0.69932 |
0dc7a0e33f43683e9d3893c734939f1b47d95db7 | 3,853 | py | Python | Website/site/gravi_site.py | NPPC-UK/Gravimetrics | a4a4bada6da5e2c3dd6f58e7fa4ca226fc374d86 | [
"MIT"
] | 4 | 2016-11-19T00:34:45.000Z | 2021-12-30T14:27:01.000Z | Website/site/gravi_site.py | NPPC-UK/Gravimetrics | a4a4bada6da5e2c3dd6f58e7fa4ca226fc374d86 | [
"MIT"
] | null | null | null | Website/site/gravi_site.py | NPPC-UK/Gravimetrics | a4a4bada6da5e2c3dd6f58e7fa4ca226fc374d86 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
from flask import Flask, render_template, request, redirect, url_for, session, flash, make_response
from functools import wraps
import pandas as pd
from login_manager import login_user
from data_manager import get_experiments, get_experiment_plants, get_all_water_data, get_all_balance_data, end_expe... | 31.072581 | 167 | 0.634051 |
80c66543b75d2ff9a7750f02411603a70d48e236 | 3,171 | py | Python | louvain_to_gephi_giraph.py | ErathosthemesAmmoro/track-communities | 7afd60aaa62ed0b81c7f785974ea0a8687ea136e | [
"Apache-2.0"
] | 12 | 2015-02-02T13:13:52.000Z | 2022-03-16T12:35:32.000Z | louvain_to_gephi_giraph.py | ErathosthemesAmmoro/track-communities | 7afd60aaa62ed0b81c7f785974ea0a8687ea136e | [
"Apache-2.0"
] | null | null | null | louvain_to_gephi_giraph.py | ErathosthemesAmmoro/track-communities | 7afd60aaa62ed0b81c7f785974ea0a8687ea136e | [
"Apache-2.0"
] | 3 | 2015-10-05T00:27:38.000Z | 2020-03-02T17:51:39.000Z | #
# Copyright 2016 Sotera Defense Solutions 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 or ag... | 32.690722 | 168 | 0.639546 |
a911e61793ef8f41cbc108968858cbe169ca9be7 | 854 | py | Python | maza/modules/creds/cameras/avigilon/ssh_default_creds.py | ArturSpirin/maza | 56ae6325c08bcedd22c57b9fe11b58f1b38314ca | [
"MIT"
] | 2 | 2020-02-06T20:24:31.000Z | 2022-03-08T19:07:16.000Z | maza/modules/creds/cameras/avigilon/ssh_default_creds.py | ArturSpirin/maza | 56ae6325c08bcedd22c57b9fe11b58f1b38314ca | [
"MIT"
] | null | null | null | maza/modules/creds/cameras/avigilon/ssh_default_creds.py | ArturSpirin/maza | 56ae6325c08bcedd22c57b9fe11b58f1b38314ca | [
"MIT"
] | null | null | null | from maza.core.exploit import *
from maza.modules.creds.generic.ssh_default import Exploit as SSHDefault
class Exploit(SSHDefault):
__info__ = {
"name": "Avigilon Camera Default SSH Creds",
"description": "Module performs dictionary attack against Avigilon Camera SSH service. "
... | 37.130435 | 112 | 0.633489 |
1a846b94245e2d6772d0bc9c4ad377131f0e9ab0 | 842 | py | Python | molecool/io/xyz.py | aatishpr/molecool | 73a52479b41ae2847b32707b2c32ca4e23ca83c4 | [
"BSD-3-Clause"
] | null | null | null | molecool/io/xyz.py | aatishpr/molecool | 73a52479b41ae2847b32707b2c32ca4e23ca83c4 | [
"BSD-3-Clause"
] | null | null | null | molecool/io/xyz.py | aatishpr/molecool | 73a52479b41ae2847b32707b2c32ca4e23ca83c4 | [
"BSD-3-Clause"
] | null | null | null | """
xyz.py
read and write xyz files
"""
import numpy as np
def open_xyz(file_location):
# Open an xyz file and return symbols and coordinates.
xyz_file = np.genfromtxt(fname=file_location, skip_header=2, dtype='unicode')
symbols = xyz_file[:,0]
coords = (xyz_file[:,1:])
coords = coords.asty... | 27.16129 | 100 | 0.597387 |
e104fb385828ad6c784935c829f1b6493d240a92 | 4,142 | py | Python | packages/core/minos-microservice-common/minos/common/exceptions.py | sorasful/minos-python | 1189330eebf6444627a2af6b29f347670f95a4dd | [
"MIT"
] | 247 | 2022-01-24T14:55:30.000Z | 2022-03-25T12:06:17.000Z | packages/core/minos-microservice-common/minos/common/exceptions.py | sorasful/minos-python | 1189330eebf6444627a2af6b29f347670f95a4dd | [
"MIT"
] | 400 | 2021-04-03T08:51:40.000Z | 2022-01-28T11:51:22.000Z | packages/core/minos-microservice-common/minos/common/exceptions.py | sorasful/minos-python | 1189330eebf6444627a2af6b29f347670f95a4dd | [
"MIT"
] | 21 | 2022-02-06T17:25:58.000Z | 2022-03-27T04:50:29.000Z | from __future__ import (
annotations,
)
from typing import (
Any,
Type,
)
class MinosException(Exception):
"""Exception class for import packages or modules"""
__slots__ = "_message"
def __init__(self, error_message: str):
self._message = error_message
def __repr__(self):
... | 27.986486 | 116 | 0.714148 |
26dda6dadc85793b3ded36754e694ede7a1ba805 | 2,394 | py | Python | tests/test_environment.py | mclaffey/dfx | 29f223e4d2be924f25f8903bcbac10b91915d6fb | [
"MIT"
] | null | null | null | tests/test_environment.py | mclaffey/dfx | 29f223e4d2be924f25f8903bcbac10b91915d6fb | [
"MIT"
] | null | null | null | tests/test_environment.py | mclaffey/dfx | 29f223e4d2be924f25f8903bcbac10b91915d6fb | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import sys
import unittest
import unittest_dfx
import dfx.ui_curses
import dfx.datasets
class EnvTest(unittest_dfx.AbstractDfTestCase):
"""Test functionality of ui_curses.Environment
"""
def test_load_file(self):
"""Providing a path to a csv loads a new Dfview nam... | 32.351351 | 67 | 0.629073 |
52e16dff99c9662b47b99315d3e8de64bfb65f4e | 374 | py | Python | contests/20210123/abc189/b/main.py | yamap55/atcoder_python | eb000b8df3037a2bba3d3527014bc12770018cb6 | [
"MIT"
] | null | null | null | contests/20210123/abc189/b/main.py | yamap55/atcoder_python | eb000b8df3037a2bba3d3527014bc12770018cb6 | [
"MIT"
] | 7 | 2021-01-23T06:51:03.000Z | 2021-07-26T15:05:44.000Z | contests/20210123/abc189/b/main.py | yamap55/atcoder_python | eb000b8df3037a2bba3d3527014bc12770018cb6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
a = [int(_) for _ in input().split()]
N = a[0]
X = a[1]
l = [input().split() for _ in range(N)]
al = 0
result = -1
for i, r in enumerate(l):
v = int(r[0])
p = int(r[1])
# al = al + (v * p / 100)
# if X < al:
# 小数点以下は誤差が出るので100倍して比較
al = al + (v * p)
if (X * 100) < al... | 17 | 39 | 0.475936 |
7d75044ee36eb1c5bd509405675bedcbc9d547da | 2,564 | py | Python | library_samples/Python3/ocs_sample_library_preview/SDS/SdsStreamViewMap.py | osi-awoodall/OSI-Samples-OCS | 1995ccda20e4fe2ae66f3b67afbc1127d638a6fc | [
"Apache-2.0"
] | null | null | null | library_samples/Python3/ocs_sample_library_preview/SDS/SdsStreamViewMap.py | osi-awoodall/OSI-Samples-OCS | 1995ccda20e4fe2ae66f3b67afbc1127d638a6fc | [
"Apache-2.0"
] | null | null | null | library_samples/Python3/ocs_sample_library_preview/SDS/SdsStreamViewMap.py | osi-awoodall/OSI-Samples-OCS | 1995ccda20e4fe2ae66f3b67afbc1127d638a6fc | [
"Apache-2.0"
] | null | null | null | # SdsStreamViewMap.py
#
import json
from .SdsStreamViewProperty import SdsStreamViewProperty
class SdsStreamViewMap(object):
"""
SdsStreamViewMap definitions
"""
@property
def SourceTypeId(self):
"""
required
:return:
"""
return self.__sourceTypeId
@S... | 24.188679 | 69 | 0.583463 |
b57289300e28fa87dba472d7101a480343463701 | 7,606 | py | Python | graphsaint/pytorch_version/models.py | sandl99/KGraph | bb1a9e90b785315ecb501593a0ac19e6fafc2f28 | [
"MIT"
] | null | null | null | graphsaint/pytorch_version/models.py | sandl99/KGraph | bb1a9e90b785315ecb501593a0ac19e6fafc2f28 | [
"MIT"
] | 1 | 2021-04-14T15:22:45.000Z | 2021-04-14T15:22:45.000Z | graphsaint/pytorch_version/models.py | sandl99/Simple-KGCN-GraphSAINT | bb1a9e90b785315ecb501593a0ac19e6fafc2f28 | [
"MIT"
] | null | null | null | import torch
from torch import nn
import torch.nn.functional as F
import numpy as np
from graphsaint.utils import *
import graphsaint.pytorch_version.layers as layers
class GraphSAINT(nn.Module):
def __init__(self, num_classes, arch_gcn, train_params, feat_full, label_full, cpu_eval=False):
"""
... | 42.49162 | 103 | 0.58822 |
093c4535c1ce61b59f9d327f2b10e216bb19b0d4 | 5,319 | py | Python | test/sagemaker_tests/mxnet/training/resources/mnist/mnist.py | Elizaaaaa/deep-learning-containers | 6274ecb264645070d11b27e5c7e60d2e4110537d | [
"Apache-2.0"
] | 383 | 2020-05-19T18:09:10.000Z | 2022-03-29T22:41:05.000Z | test/sagemaker_tests/mxnet/training/resources/mnist/mnist.py | Elizaaaaa/deep-learning-containers | 6274ecb264645070d11b27e5c7e60d2e4110537d | [
"Apache-2.0"
] | 551 | 2020-05-27T17:25:50.000Z | 2022-03-31T18:00:35.000Z | test/sagemaker_tests/mxnet/training/resources/mnist/mnist.py | Elizaaaaa/deep-learning-containers | 6274ecb264645070d11b27e5c7e60d2e4110537d | [
"Apache-2.0"
] | 263 | 2020-05-19T18:17:12.000Z | 2022-03-29T22:41:10.000Z | # Copyright 2018-2020 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "li... | 36.682759 | 96 | 0.679263 |
4aad679f22b6819115723b88865258ef950cad8a | 10,061 | py | Python | stage/test_google_bigquery_destination.py | streamsets/datacollector-tests | 6c3e908768e1d4a586e9183e2141096921ecd5be | [
"Apache-2.0"
] | 14 | 2019-03-04T10:12:39.000Z | 2021-11-24T16:17:09.000Z | stage/test_google_bigquery_destination.py | Pragatibs/datacollector-tests | aac53b2f0e056009ef0e437c8430651e3cf4d502 | [
"Apache-2.0"
] | 48 | 2019-03-08T14:59:06.000Z | 2021-08-13T14:49:56.000Z | stage/test_google_bigquery_destination.py | Pragatibs/datacollector-tests | aac53b2f0e056009ef0e437c8430651e3cf4d502 | [
"Apache-2.0"
] | 23 | 2018-09-24T20:49:17.000Z | 2021-11-24T16:17:11.000Z | # Copyright 2020 StreamSets 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 or agreed to in writi... | 43.180258 | 116 | 0.688898 |
f01bdf47ea08dc3c9aac49fe707dbd4b07f65f71 | 12,939 | py | Python | sympy/core/symbol.py | tesseralis/sympy | 0c2f7e06b1a43d25ba93bac65e93f8d5f323be7a | [
"BSD-3-Clause"
] | 1 | 2020-11-17T07:35:20.000Z | 2020-11-17T07:35:20.000Z | sympy/core/symbol.py | tesseralis/sympy | 0c2f7e06b1a43d25ba93bac65e93f8d5f323be7a | [
"BSD-3-Clause"
] | null | null | null | sympy/core/symbol.py | tesseralis/sympy | 0c2f7e06b1a43d25ba93bac65e93f8d5f323be7a | [
"BSD-3-Clause"
] | null | null | null | from sympy.core.assumptions import StdFactKB
from basic import Basic
from core import C
from sympify import sympify
from singleton import S
from expr import Expr, AtomicExpr
from cache import cacheit
from function import FunctionClass
from sympy.core.logic import fuzzy_bool
from sympy.logic.boolalg import Boolean
from ... | 29.141892 | 88 | 0.567277 |
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