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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a9e96f3479553a323cae24395aae1384d5d71a03 | 54 | py | Python | hello world.py | xiongshao1943/test-only | b197f1b3d7abeaafcd45dcadcc34a6cf4f600f88 | [
"Apache-2.0"
] | null | null | null | hello world.py | xiongshao1943/test-only | b197f1b3d7abeaafcd45dcadcc34a6cf4f600f88 | [
"Apache-2.0"
] | null | null | null | hello world.py | xiongshao1943/test-only | b197f1b3d7abeaafcd45dcadcc34a6cf4f600f88 | [
"Apache-2.0"
] | null | null | null | name = input('Enter you name :')
print('Hello ',name) | 27 | 33 | 0.648148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.481481 |
a9ea7e1103d7e405e0173553e3a33e8c3f2d77a8 | 1,116 | py | Python | src/Chapter7/Exercise2.py | djeada/Python-For-Informatics | fc93cb60b6c81ee98b82b76934d39930a0c323d0 | [
"MIT"
] | null | null | null | src/Chapter7/Exercise2.py | djeada/Python-For-Informatics | fc93cb60b6c81ee98b82b76934d39930a0c323d0 | [
"MIT"
] | null | null | null | src/Chapter7/Exercise2.py | djeada/Python-For-Informatics | fc93cb60b6c81ee98b82b76934d39930a0c323d0 | [
"MIT"
] | null | null | null | """
Exercise 2
Write a program to prompt for a file name, and then read through the file and
look for lines of the form:
X-DSPAM-Confidence: 0.8475
When you encounter a line that starts with 'X-DSPAM-Confidence:' pull apart
the line to extract the floating point number on the line. Count these lines
and the compute ... | 36 | 78 | 0.729391 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 733 | 0.65681 |
a9ed614fe3c61a4ccb6a6fd96549be447884ceeb | 353 | py | Python | assets/downloads/CQED/CQED/Code/color.py | OTPS3141/otps3141.github.io | 2c0ee2d0f531ad4f7c99c0ba2962d7e1b6b290a4 | [
"MIT"
] | null | null | null | assets/downloads/CQED/CQED/Code/color.py | OTPS3141/otps3141.github.io | 2c0ee2d0f531ad4f7c99c0ba2962d7e1b6b290a4 | [
"MIT"
] | null | null | null | assets/downloads/CQED/CQED/Code/color.py | OTPS3141/otps3141.github.io | 2c0ee2d0f531ad4f7c99c0ba2962d7e1b6b290a4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Nov 21 13:00:28 2021
@author: OTPS
"""
import matplotlib.pyplot as plt
import numpy as np
from scipy.ndimage.filters import gaussian_filter
from PIL import Image
img1 = Image.open(r"fit to merge.png", mode='r')
img2 = Image.open(r"base to merge.png")
img1.paste(img2, ... | 17.65 | 49 | 0.685552 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 123 | 0.348442 |
a9ee1cf8e130e1df16f5fb39574aa6241710e34f | 1,081 | py | Python | intake/serializers/application_transfer_serializer.py | cforlando/intake | a5233d5c0f862f28ee265b9b4831405aabeec7e2 | [
"MIT"
] | 51 | 2016-07-20T02:26:57.000Z | 2021-07-07T14:45:06.000Z | intake/serializers/application_transfer_serializer.py | enterstudio/intake | 793a8935914fdc8356321ec46e54d9ae1eeeee04 | [
"MIT"
] | 1,091 | 2016-04-29T18:07:45.000Z | 2021-04-19T18:39:39.000Z | intake/serializers/application_transfer_serializer.py | enterstudio/intake | 793a8935914fdc8356321ec46e54d9ae1eeeee04 | [
"MIT"
] | 24 | 2016-06-14T18:10:43.000Z | 2021-11-14T20:26:39.000Z | from intake import models
from rest_framework import serializers
from . import fields
class IncomingTransferSerializer(serializers.ModelSerializer):
organization_name = serializers.SerializerMethodField()
author_name = serializers.SerializerMethodField()
local_date = serializers.SerializerMethodField()
... | 31.794118 | 67 | 0.715079 | 992 | 0.917669 | 0 | 0 | 0 | 0 | 0 | 0 | 74 | 0.068455 |
a9ee3e2d59a60ee5b5ca120d2e41aae3d0a460cf | 256 | py | Python | submissions/abc120/b.py | m-star18/atcoder | 08e475810516602fa088f87daf1eba590b4e07cc | [
"Unlicense"
] | 1 | 2021-05-10T01:16:28.000Z | 2021-05-10T01:16:28.000Z | submissions/abc120/b.py | m-star18/atcoder | 08e475810516602fa088f87daf1eba590b4e07cc | [
"Unlicense"
] | 3 | 2021-05-11T06:14:15.000Z | 2021-06-19T08:18:36.000Z | submissions/abc120/b.py | m-star18/atcoder | 08e475810516602fa088f87daf1eba590b4e07cc | [
"Unlicense"
] | null | null | null | a, b, k = map(int, input().split())
mx = max(a, b)
match, ans = 0, 0
for i in range(mx):
if ((a % (mx - i)) == 0) and ((b % (mx - i)) == 0):
match += 1
ans = mx - i
if match == k:
break
print(ans)
| 18.285714 | 55 | 0.378906 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a9ee7d9ddb02712f3efcfc4263b4574071d89f40 | 237 | py | Python | src/server/handlers/issues.py | monosidev/monosi | a88b689fc74010b10dbabb32f4b2bdeae865f4d5 | [
"Apache-2.0"
] | 156 | 2021-11-19T18:50:14.000Z | 2022-03-31T19:48:59.000Z | src/server/handlers/issues.py | monosidev/monosi | a88b689fc74010b10dbabb32f4b2bdeae865f4d5 | [
"Apache-2.0"
] | 30 | 2021-12-27T19:30:56.000Z | 2022-03-30T17:49:00.000Z | src/server/handlers/issues.py | monosidev/monosi | a88b689fc74010b10dbabb32f4b2bdeae865f4d5 | [
"Apache-2.0"
] | 14 | 2022-01-17T23:24:34.000Z | 2022-03-29T09:27:47.000Z | from server.handlers.base import ListResource
from server.models import Issue
class IssueListResource(ListResource):
@property
def resource(self):
return Issue
@property
def key(self):
return "issues"
| 16.928571 | 45 | 0.696203 | 155 | 0.654008 | 0 | 0 | 106 | 0.447257 | 0 | 0 | 8 | 0.033755 |
a9efff0068d850b62f8833a3ca0a86fffd2e04fc | 1,305 | py | Python | muddery/server/elements/world_npc.py | dongwudanci/muddery | 669fbbdb394d04995470e32e94f10d42f3387996 | [
"BSD-3-Clause"
] | 127 | 2015-04-16T15:27:59.000Z | 2022-03-10T08:35:37.000Z | muddery/server/elements/world_npc.py | dongwudanci/muddery | 669fbbdb394d04995470e32e94f10d42f3387996 | [
"BSD-3-Clause"
] | 14 | 2015-12-17T08:02:18.000Z | 2022-01-30T15:15:38.000Z | muddery/server/elements/world_npc.py | dongwudanci/muddery | 669fbbdb394d04995470e32e94f10d42f3387996 | [
"BSD-3-Clause"
] | 54 | 2015-06-23T07:27:45.000Z | 2022-02-22T01:46:05.000Z | """
None Player Characters
Player Characters are (by default) Objects setup to be puppeted by Players.
They are what you "see" in game. The Character class in this module
is setup to be the "default" character type created by the default
creation commands.
"""
from muddery.server.mappings.element_set import ELEMENT
... | 28.369565 | 84 | 0.669732 | 847 | 0.649042 | 0 | 0 | 0 | 0 | 0 | 0 | 557 | 0.42682 |
a9f12a5d988555852c0080f8c8a1c4ce957aa4ba | 14,149 | py | Python | authors/apps/articles/test/test_create_articles.py | Kasulejoseph/ah-backend-athena | 016810d6a2391ae45985b4d43003e51ada1e81be | [
"BSD-3-Clause"
] | null | null | null | authors/apps/articles/test/test_create_articles.py | Kasulejoseph/ah-backend-athena | 016810d6a2391ae45985b4d43003e51ada1e81be | [
"BSD-3-Clause"
] | 31 | 2018-11-26T17:42:35.000Z | 2022-03-11T23:36:55.000Z | authors/apps/articles/test/test_create_articles.py | Kasulejoseph/ah-backend-athena | 016810d6a2391ae45985b4d43003e51ada1e81be | [
"BSD-3-Clause"
] | 6 | 2018-11-23T09:55:02.000Z | 2021-06-17T15:18:49.000Z | import json
from .base import BaseTestArticles
from rest_framework.views import status
from ..models import Article
from ...authentication.models import User
from ....apps.profiles.models import Profile
class TestArticles(BaseTestArticles):
def data3_user_jwt(self):
return User.objects.create_user(**self... | 41.250729 | 82 | 0.627111 | 13,942 | 0.98537 | 0 | 0 | 0 | 0 | 0 | 0 | 2,118 | 0.149693 |
a9f3f3be1654fa48f8d6c06923796e334d80d0ec | 7,135 | py | Python | davan/http/service/presence/PresenceMgrService.py | davandev/davanserver | 0be914268c8e34d4092251508bae213cff3ef621 | [
"MIT"
] | null | null | null | davan/http/service/presence/PresenceMgrService.py | davandev/davanserver | 0be914268c8e34d4092251508bae213cff3ef621 | [
"MIT"
] | null | null | null | davan/http/service/presence/PresenceMgrService.py | davandev/davanserver | 0be914268c8e34d4092251508bae213cff3ef621 | [
"MIT"
] | null | null | null | '''
@author: davandev
'''
import logging
import os
import urllib
import datetime
from threading import Thread,Event
import davan.config.config_creator as configuration
import davan.http.service.presence.url_helper as url_util
import davan.util.constants as constants
import davan.util.cmd_executor as cmd_exec... | 37.952128 | 140 | 0.569306 | 6,188 | 0.867274 | 0 | 0 | 0 | 0 | 0 | 0 | 1,761 | 0.246811 |
a9f61c14f73a64dee1f29930eb0caeda4f5890cd | 815 | py | Python | h2o-py/tests/testdir_algos/glm/pyunit_PUBDEV_6853_glm_plot.py | ahmedengu/h2o-3 | ac2c0a6fbe7f8e18078278bf8a7d3483d41aca11 | [
"Apache-2.0"
] | 6,098 | 2015-05-22T02:46:12.000Z | 2022-03-31T16:54:51.000Z | h2o-py/tests/testdir_algos/glm/pyunit_PUBDEV_6853_glm_plot.py | ahmedengu/h2o-3 | ac2c0a6fbe7f8e18078278bf8a7d3483d41aca11 | [
"Apache-2.0"
] | 2,517 | 2015-05-23T02:10:54.000Z | 2022-03-30T17:03:39.000Z | h2o-py/tests/testdir_algos/glm/pyunit_PUBDEV_6853_glm_plot.py | ahmedengu/h2o-3 | ac2c0a6fbe7f8e18078278bf8a7d3483d41aca11 | [
"Apache-2.0"
] | 2,199 | 2015-05-22T04:09:55.000Z | 2022-03-28T22:20:45.000Z | from __future__ import print_function
import sys
sys.path.insert(1,"../../../")
import h2o
from tests import pyunit_utils
from h2o.estimators.glm import H2OGeneralizedLinearEstimator
def test_glm_plot():
training_data = h2o.import_file(pyunit_utils.locate("smalldata/logreg/benign.csv"))
Y = 3
X = [0, 1, ... | 30.185185 | 87 | 0.687117 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 150 | 0.184049 |
a9f972e3f0ce11289703edace28d7d79fca045c9 | 4,521 | py | Python | tutorials/03_exact_integration_simple.py | TruongQuocChien/FFTHomPy | 2c23c80dd2cab46f1090103e613b4f886b3daac7 | [
"MIT"
] | 18 | 2015-03-14T20:08:57.000Z | 2021-01-25T11:08:40.000Z | tutorials/03_exact_integration_simple.py | vondrejc/FFTHomPy | 2c23c80dd2cab46f1090103e613b4f886b3daac7 | [
"MIT"
] | null | null | null | tutorials/03_exact_integration_simple.py | vondrejc/FFTHomPy | 2c23c80dd2cab46f1090103e613b4f886b3daac7 | [
"MIT"
] | 10 | 2015-08-31T20:18:13.000Z | 2021-06-03T10:20:57.000Z | from __future__ import division, print_function
print("""
Numerical homogenisation based on exact integration, which is described in
J. Vondrejc, Improved guaranteed computable bounds on homogenized properties
of periodic media by FourierGalerkin method with exact integration,
Int. J. Numer. Methods Eng., 2016.
This ... | 39.313043 | 110 | 0.656492 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,736 | 0.383986 |
a9f9c4d3526307e32a5500958c3dd33e1cedd8eb | 2,289 | py | Python | pipeline/io/xml.py | probonas/pipeline | 96f565f2d827498efd31a7e76b74e0394ef2abc1 | [
"Apache-2.0"
] | 5 | 2020-04-11T15:12:07.000Z | 2021-09-13T04:15:47.000Z | pipeline/io/xml.py | probonas/pipeline | 96f565f2d827498efd31a7e76b74e0394ef2abc1 | [
"Apache-2.0"
] | 46 | 2019-04-22T20:36:40.000Z | 2022-01-12T18:03:32.000Z | pipeline/io/xml.py | probonas/pipeline | 96f565f2d827498efd31a7e76b74e0394ef2abc1 | [
"Apache-2.0"
] | 2 | 2020-05-27T20:49:53.000Z | 2021-03-17T04:21:38.000Z | import sys
import lxml.etree
from bonobo.constants import NOT_MODIFIED
from bonobo.nodes.io.file import FileReader
from bonobo.config import Configurable, Option, Service
class XMLReader(FileReader):
'''
A FileReader that parses an XML file and yields lxml.etree Element objects matching
the given XPath expression.... | 23.121212 | 85 | 0.676715 | 1,920 | 0.838794 | 607 | 0.265181 | 0 | 0 | 0 | 0 | 571 | 0.249454 |
a9fac466d61fa4e1209093752784a51baa09d5f3 | 3,063 | py | Python | YukkiMusic/utils/formatters.py | VasuXD/YukkiMusicBot | d7fdbd46d9fc793daedf624fa34fe644119bcb25 | [
"MIT"
] | null | null | null | YukkiMusic/utils/formatters.py | VasuXD/YukkiMusicBot | d7fdbd46d9fc793daedf624fa34fe644119bcb25 | [
"MIT"
] | null | null | null | YukkiMusic/utils/formatters.py | VasuXD/YukkiMusicBot | d7fdbd46d9fc793daedf624fa34fe644119bcb25 | [
"MIT"
] | null | null | null | #
# Copyright (C) 2021-2022 by TeamYukki@Github, < https://github.com/TeamYukki >.
#
# This file is part of < https://github.com/TeamYukki/YukkiMusicBot > project,
# and is released under the "GNU v3.0 License Agreement".
# Please see < https://github.com/TeamYukki/YukkiMusicBot/blob/master/LICENSE >
#
# All rights res... | 22.195652 | 80 | 0.501469 | 0 | 0 | 0 | 0 | 0 | 0 | 499 | 0.162912 | 728 | 0.237675 |
a9fc4f5e65a9e9ec49c824da6ceb7e54ae1603c4 | 316 | py | Python | kubernetes_typed/client/models/v1_typed_local_object_reference.py | nikhiljha/kubernetes-typed | 4f4b969aa400c88306f92560e56bda6d19b2a895 | [
"Apache-2.0"
] | 22 | 2020-12-10T13:06:02.000Z | 2022-02-13T21:58:15.000Z | kubernetes_typed/client/models/v1_typed_local_object_reference.py | nikhiljha/kubernetes-typed | 4f4b969aa400c88306f92560e56bda6d19b2a895 | [
"Apache-2.0"
] | 4 | 2021-03-08T07:06:12.000Z | 2022-03-29T23:41:45.000Z | kubernetes_typed/client/models/v1_typed_local_object_reference.py | nikhiljha/kubernetes-typed | 4f4b969aa400c88306f92560e56bda6d19b2a895 | [
"Apache-2.0"
] | 2 | 2021-09-05T19:18:28.000Z | 2022-03-14T02:56:17.000Z | # Code generated by `typeddictgen`. DO NOT EDIT.
"""V1TypedLocalObjectReferenceDict generated type."""
from typing import TypedDict
V1TypedLocalObjectReferenceDict = TypedDict(
"V1TypedLocalObjectReferenceDict",
{
"apiGroup": str,
"kind": str,
"name": str,
},
total=False,
)
| 22.571429 | 53 | 0.667722 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 156 | 0.493671 |
a9fcc66dd61126cc0745ff31b6efb944d4f0b8ed | 271 | py | Python | backend/system/__init__.py | red23495/maya | 8ac042982ffb803a8e1499c06a3957e93de2343a | [
"MIT"
] | null | null | null | backend/system/__init__.py | red23495/maya | 8ac042982ffb803a8e1499c06a3957e93de2343a | [
"MIT"
] | null | null | null | backend/system/__init__.py | red23495/maya | 8ac042982ffb803a8e1499c06a3957e93de2343a | [
"MIT"
] | null | null | null | from .context import GlobalContext
from .dao import BaseDao
from .model import BaseModel
from .service import BaseService
from .schema import BaseSchema, DeleteSchema, DeleteResponseSchema, ListSchema
from .crud import BaseCrud
from .message_generator import get_message
| 33.875 | 78 | 0.848708 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a9fea1cdc53e3c61b7fd002e8743d6e65365ae7f | 3,742 | py | Python | karbor-1.3.0/karbor/services/operationengine/user_trust_manager.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 1 | 2021-05-23T01:48:25.000Z | 2021-05-23T01:48:25.000Z | karbor-1.3.0/karbor/services/operationengine/user_trust_manager.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 5 | 2019-08-14T06:46:03.000Z | 2021-12-13T20:01:25.000Z | karbor-1.3.0/karbor/services/operationengine/user_trust_manager.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 2 | 2020-03-15T01:24:15.000Z | 2020-07-22T20:34:26.000Z | # 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 writing, software
# d... | 35.980769 | 78 | 0.646713 | 3,044 | 0.813469 | 0 | 0 | 0 | 0 | 0 | 0 | 759 | 0.202833 |
a9fec7c77af3629a8aa1a529833cc19bcd959e3d | 7,309 | py | Python | config/custom_components/huesyncbox/__init__.py | LRvdLinden/homeassistant-config | 4f0e8bb08329b8af08fc90cb1699a9314e297ab7 | [
"MIT"
] | 288 | 2021-04-27T07:25:04.000Z | 2022-03-23T14:38:36.000Z | config/custom_components/huesyncbox/__init__.py | givemhell/homeassistant-config | 8ca951d299cb4df19e5fcc37bfea38c9f04f5a2a | [
"MIT"
] | 6 | 2021-04-30T10:47:24.000Z | 2022-01-12T01:14:15.000Z | config/custom_components/huesyncbox/__init__.py | givemhell/homeassistant-config | 8ca951d299cb4df19e5fcc37bfea38c9f04f5a2a | [
"MIT"
] | 28 | 2021-04-30T23:58:07.000Z | 2022-02-15T04:33:46.000Z | """The Philips Hue Play HDMI Sync Box integration."""
import asyncio
import logging
import json
import os
import voluptuous as vol
from homeassistant.config_entries import ConfigEntry
from homeassistant.core import HomeAssistant
from homeassistant.helpers import (config_validation as cv)
from homeassistant.helpers.co... | 39.722826 | 383 | 0.738131 | 0 | 0 | 0 | 0 | 0 | 0 | 4,821 | 0.659598 | 632 | 0.086469 |
a9fefe89a714c084a57a2cacbde52e00dfefc404 | 6,278 | py | Python | examples/hubert/train.py | underdogliu/audio | 38e530d77e5a194d4e5f91356cc1a191207a3b29 | [
"BSD-2-Clause"
] | null | null | null | examples/hubert/train.py | underdogliu/audio | 38e530d77e5a194d4e5f91356cc1a191207a3b29 | [
"BSD-2-Clause"
] | null | null | null | examples/hubert/train.py | underdogliu/audio | 38e530d77e5a194d4e5f91356cc1a191207a3b29 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python3
"""Train the HuBERTPretrainModel by using labels generated by KMeans clustering.
Example:
python train.py --root-path ./exp/data/mfcc/ --feature-type mfcc --num-classes 100
"""
import logging
import pathlib
from argparse import (
ArgumentDefaultsHelpFormatter,
ArgumentParser,
RawDesc... | 28.798165 | 113 | 0.624084 | 291 | 0.046352 | 0 | 0 | 0 | 0 | 0 | 0 | 2,025 | 0.322555 |
e7016a36ae131d4a62b304569a0a5345a17c8a87 | 495 | py | Python | modeling/networks/proxylessnas.py | RunpeiDong/DGMS | 1f6a7ca9f39a2bc31cfade1e45967b006ea6532d | [
"Apache-2.0"
] | 2 | 2022-01-03T05:25:01.000Z | 2022-01-06T23:08:50.000Z | modeling/networks/proxylessnas.py | RunpeiDong/DGMS | 1f6a7ca9f39a2bc31cfade1e45967b006ea6532d | [
"Apache-2.0"
] | null | null | null | modeling/networks/proxylessnas.py | RunpeiDong/DGMS | 1f6a7ca9f39a2bc31cfade1e45967b006ea6532d | [
"Apache-2.0"
] | 1 | 2022-02-28T01:13:30.000Z | 2022-02-28T01:13:30.000Z | import torch
def proxyless_nas_mobile(args):
target_platform = "proxyless_mobile" # proxyless_gpu, proxyless_mobile, proxyless_mobile14 are also avaliable.
if args.pretrained:
model = torch.hub.load('mit-han-lab/ProxylessNAS', target_platform, pretrained=True)
print("ImageNet pretrained Proxyle... | 45 | 114 | 0.739394 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 223 | 0.450505 |
e701d8319474ec61648531dd3164c26ea90f0f94 | 3,504 | py | Python | hellopy/test/utils/test.py | odys-z/hello | 39ca67cae34eb4bc4cbd848a06b3c0d65a995954 | [
"MIT"
] | null | null | null | hellopy/test/utils/test.py | odys-z/hello | 39ca67cae34eb4bc4cbd848a06b3c0d65a995954 | [
"MIT"
] | 3 | 2021-04-17T18:36:24.000Z | 2022-03-04T20:30:09.000Z | hellopy/test/utils/test.py | odys-z/hello | 39ca67cae34eb4bc4cbd848a06b3c0d65a995954 | [
"MIT"
] | null | null | null | '''
Created on 22 Dec 2019
@author: ody
'''
import unittest
from utils.Assrt import Eq, AssertErr, XdArrParser
class Test(unittest.TestCase):
def testArrEq(self):
eq = Eq()
try:
eq.int2dArr([[]], [[1]])
self.fail("Error not checked")
except AssertErr as e:
... | 27.375 | 91 | 0.435788 | 3,291 | 0.939212 | 0 | 0 | 0 | 0 | 0 | 0 | 523 | 0.149258 |
e70273fea7d7bb9be6cfcea6ec6c16b42f763637 | 1,474 | py | Python | home/migrations/0017_remove_restaurant_date_remove_restaurant_start_time_and_more.py | divyesh1099/goparty | 7e2f189aa195824d31d349d25bdbe9c853209a42 | [
"MIT"
] | null | null | null | home/migrations/0017_remove_restaurant_date_remove_restaurant_start_time_and_more.py | divyesh1099/goparty | 7e2f189aa195824d31d349d25bdbe9c853209a42 | [
"MIT"
] | null | null | null | home/migrations/0017_remove_restaurant_date_remove_restaurant_start_time_and_more.py | divyesh1099/goparty | 7e2f189aa195824d31d349d25bdbe9c853209a42 | [
"MIT"
] | null | null | null | # Generated by Django 4.0.3 on 2022-05-03 21:53
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('home', '0016_rename_restaurantfeatures_restaurantfeature'),
]
operations = [
migrations.RemoveField(
... | 30.708333 | 131 | 0.585482 | 1,348 | 0.914518 | 0 | 0 | 0 | 0 | 0 | 0 | 282 | 0.191316 |
e7038aeca649431fd026d3a0b2376ad105c16473 | 246 | py | Python | source/menu.py | Azzy001/Login-Register_Tk | 774538666992cee12797671bd56fcc0dde46c343 | [
"MIT"
] | 1 | 2022-02-01T15:46:51.000Z | 2022-02-01T15:46:51.000Z | source/menu.py | Azzy001/Login-Register_Tk | 774538666992cee12797671bd56fcc0dde46c343 | [
"MIT"
] | null | null | null | source/menu.py | Azzy001/Login-Register_Tk | 774538666992cee12797671bd56fcc0dde46c343 | [
"MIT"
] | null | null | null | from tkinter import *
window = Tk()
def open_menu_window():
pass
# Window configs
window.title("Azzy001 : Menu Window")
window.geometry("440x520")
window.resizable(0, 0)
window.attributes("-topmost", True)
window.mainloop() | 16.4 | 38 | 0.682927 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 59 | 0.239837 |
e705a57826a489b26a0995f0c679c1815e1975ce | 701 | py | Python | anagram.py | Tatooine-Soldier/Beginner_projects | d6c77793e5d58860318cc95e0aedaef6f4b128db | [
"Apache-2.0"
] | null | null | null | anagram.py | Tatooine-Soldier/Beginner_projects | d6c77793e5d58860318cc95e0aedaef6f4b128db | [
"Apache-2.0"
] | null | null | null | anagram.py | Tatooine-Soldier/Beginner_projects | d6c77793e5d58860318cc95e0aedaef6f4b128db | [
"Apache-2.0"
] | null | null | null | def anagram(s1, s2):
result = False #set your base
if len(s1) == len(s2): #can't be anagrams if diff length
count = 0 #used to check for matches
i = 0
while i < len(s1): #'outer loop' for s1
j = 0
while j < len(s2): #'inne... | 36.894737 | 100 | 0.46933 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 259 | 0.369472 |
e706666948f0a275a5dbfc4777f61a9c59c85d96 | 2,298 | py | Python | ping_pong.py | SteelAnge1/ping-pong | dfc5200f907e0d139649afcc880ea918dd6083f3 | [
"CC0-1.0"
] | null | null | null | ping_pong.py | SteelAnge1/ping-pong | dfc5200f907e0d139649afcc880ea918dd6083f3 | [
"CC0-1.0"
] | null | null | null | ping_pong.py | SteelAnge1/ping-pong | dfc5200f907e0d139649afcc880ea918dd6083f3 | [
"CC0-1.0"
] | null | null | null | from pygame import *
win_width=600
win_height=500
class GameSprite(sprite.Sprite):
def __init__(self, player_image, player_x, player_y, size_x, size_y, player_speed ):
super().__init__()
self.image = transform.scale(image.load(player_image), (size_x, size_y))
self.speed = player_s... | 26.72093 | 89 | 0.561793 | 963 | 0.41906 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0.033507 |
e707604999bdeed189d1ba802afd56ed532a88c3 | 2,121 | py | Python | companies/admin.py | Valuehorizon/valuehorizon-companies | 5366e230da69ee30fcdc1bf4beddc99310f6b767 | [
"MIT"
] | 1 | 2015-09-28T17:11:12.000Z | 2015-09-28T17:11:12.000Z | companies/admin.py | Valuehorizon/valuehorizon-companies | 5366e230da69ee30fcdc1bf4beddc99310f6b767 | [
"MIT"
] | 4 | 2020-02-11T22:59:54.000Z | 2021-06-10T17:55:15.000Z | companies/admin.py | Valuehorizon/valuehorizon-companies | 5366e230da69ee30fcdc1bf4beddc99310f6b767 | [
"MIT"
] | null | null | null | from django.contrib import admin
from datetime import *
from companies.models import Sector, IndustryGroup, Industry, SubIndustry
from companies.models import Company, Ownership, Director, Executive, CompanyNameChange
class SectorAdmin(admin.ModelAdmin):
search_fields=["name",]
list_display = ('name', 'sym... | 35.949153 | 101 | 0.754833 | 1,433 | 0.675625 | 0 | 0 | 0 | 0 | 0 | 0 | 491 | 0.231495 |
e708f0f5533cb309985218c0e13c8f1882c1ecf0 | 2,234 | py | Python | ocd_backend/enrichers/text_enricher/tasks/theme_classifier.py | aolieman/open-raadsinformatie | 66469fc924fb0d312607afe998d271bf6f55c9d6 | [
"MIT"
] | 23 | 2015-10-28T09:02:41.000Z | 2021-12-15T08:40:41.000Z | ocd_backend/enrichers/text_enricher/tasks/theme_classifier.py | aolieman/open-raadsinformatie | 66469fc924fb0d312607afe998d271bf6f55c9d6 | [
"MIT"
] | 326 | 2015-11-03T12:59:48.000Z | 2022-03-11T23:18:14.000Z | ocd_backend/enrichers/text_enricher/tasks/theme_classifier.py | aolieman/open-raadsinformatie | 66469fc924fb0d312607afe998d271bf6f55c9d6 | [
"MIT"
] | 10 | 2016-02-05T08:43:07.000Z | 2022-03-09T10:04:32.000Z | import operator
import requests
from ocd_backend.enrichers.text_enricher.tasks import BaseEnrichmentTask
from ocd_backend.models.definitions import Meeting as MeetingNS, Rdf
from ocd_backend.models.misc import Uri
from ocd_backend.settings import ORI_CLASSIFIER_HOST, ORI_CLASSIFIER_PORT
from ocd_backend.utils.http imp... | 32.376812 | 107 | 0.608774 | 1,799 | 0.805282 | 0 | 0 | 0 | 0 | 0 | 0 | 331 | 0.148165 |
e70abdf746f94ff1be56b5f084ab1342ab7e56e2 | 3,465 | py | Python | src/model/mlp.py | statsu1990/yoto_class_balanced_loss | d05c97c6cea08efa431d458897199bf940bce4a7 | [
"MIT"
] | 13 | 2020-05-04T01:19:32.000Z | 2022-03-09T03:03:01.000Z | src/model/mlp.py | statsu1990/yoto_class_balanced_loss | d05c97c6cea08efa431d458897199bf940bce4a7 | [
"MIT"
] | 1 | 2020-12-17T00:58:42.000Z | 2020-12-17T01:56:33.000Z | src/model/mlp.py | statsu1990/yoto_class_balanced_loss | d05c97c6cea08efa431d458897199bf940bce4a7 | [
"MIT"
] | 3 | 2020-07-01T06:14:24.000Z | 2022-01-06T04:08:48.000Z |
"""
YOU ONLY TRAIN ONCE: LOSS-CONDITIONAL TRAINING OF DEEP NETWORKS
# https://openreview.net/pdf?id=HyxY6JHKwr
For YOTO models, we condition the last layer of each convolutional block.
The conditioning MLP has one hidden layer with 256 units on Shapes3D and 512 units on CIFAR-10.
At training time we sample the... | 33.317308 | 104 | 0.583261 | 2,799 | 0.807093 | 0 | 0 | 0 | 0 | 0 | 0 | 754 | 0.217416 |
e70bb3a04a1fd426e40b7909cae8bda16260e6c6 | 1,067 | py | Python | pyenv/lib/python3.6/_weakrefset.py | ronald-rgr/ai-chatbot-smartguide | c9c830feb6b66c2e362f8fb5d147ef0c4f4a08cf | [
"Apache-2.0"
] | null | null | null | pyenv/lib/python3.6/_weakrefset.py | ronald-rgr/ai-chatbot-smartguide | c9c830feb6b66c2e362f8fb5d147ef0c4f4a08cf | [
"Apache-2.0"
] | 3 | 2020-03-23T18:01:51.000Z | 2021-03-19T23:15:15.000Z | pyenv/lib/python3.6/_weakrefset.py | ronald-rgr/ai-chatbot-smartguide | c9c830feb6b66c2e362f8fb5d147ef0c4f4a08cf | [
"Apache-2.0"
] | null | null | null | XSym
0078
350008fd8e0cf4fdaa063759c1fd071b
/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/_weakrefset.py
... | 213.4 | 945 | 0.099344 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e70f113a220c3f243ab0f7dd157ded80f7e74758 | 4,616 | py | Python | util/counter.py | FadedCosine/POS-Guided-Neural-Text-Generation | 2b5c72d8f2e08cbf4fe0babc4a4f1db09b348505 | [
"Apache-2.0"
] | 2 | 2021-06-23T08:52:20.000Z | 2021-06-23T08:52:31.000Z | util/counter.py | FadedCosine/POS-Guided-Neural-Text-Generation | 2b5c72d8f2e08cbf4fe0babc4a4f1db09b348505 | [
"Apache-2.0"
] | null | null | null | util/counter.py | FadedCosine/POS-Guided-Neural-Text-Generation | 2b5c72d8f2e08cbf4fe0babc4a4f1db09b348505 | [
"Apache-2.0"
] | null | null | null | import collections
import pandas as pd
import numpy as np
import re
import os
def count(fl,target='input_context',checks='input_keyword', vocab_size=10000):
cnter = collections.Counter()
s = set()
for filename in fl:
cur_df = pd.read_pickle(filename)
texts = cur_df[target].tolist()
... | 27.807229 | 95 | 0.581672 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 86 | 0.018631 |
e71022164013af8d4affab42a89cbbb9cbc78af8 | 250 | py | Python | Ex02.py | ErickTeixeira777/Python-3 | 5bd886d13e8118bba556d499ecd6841e9cdb5e9f | [
"MIT"
] | null | null | null | Ex02.py | ErickTeixeira777/Python-3 | 5bd886d13e8118bba556d499ecd6841e9cdb5e9f | [
"MIT"
] | null | null | null | Ex02.py | ErickTeixeira777/Python-3 | 5bd886d13e8118bba556d499ecd6841e9cdb5e9f | [
"MIT"
] | null | null | null | # Aula 06-A
# Tipos Primitivos e Saída de Dados
n1 = int(input('\033[0;30;47mDigite um número:\033[m'))
n2 = int(input('\033[0;30;47mDigite outro número:\033[m'))
s = n1 + n2
print('\033[4;36;40mA soma entre {} e {} vale {}\033[m'.format(n1, n2, s)) | 41.666667 | 74 | 0.644 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 178 | 0.703557 |
e711732a95edbbd28e9325c694a3258b0896d4c9 | 3,304 | py | Python | importkit/import_/tests/test_proxy.py | sprymix/importkit | 72702fd6150ef9b470c986061ff976bc814463c8 | [
"MIT"
] | 2 | 2015-04-25T09:04:10.000Z | 2018-05-04T18:03:19.000Z | importkit/import_/tests/test_proxy.py | sprymix/importkit | 72702fd6150ef9b470c986061ff976bc814463c8 | [
"MIT"
] | null | null | null | importkit/import_/tests/test_proxy.py | sprymix/importkit | 72702fd6150ef9b470c986061ff976bc814463c8 | [
"MIT"
] | null | null | null | ##
# Copyright (c) 2012 Sprymix Inc.
# All rights reserved.
#
# See LICENSE for details.
##
import importlib
import pickle
import sys
import types
import unittest
from importkit.import_ import module as module_utils
from importkit.import_ import utils as import_utils
class TestLangImportModuleProxy(unittest.TestCa... | 29.5 | 99 | 0.664346 | 3,030 | 0.91707 | 0 | 0 | 0 | 0 | 0 | 0 | 348 | 0.105327 |
e7118f625a826be6f20337e189488ef58415fddb | 1,972 | py | Python | sdk/python/tests/compiler/testdata/tekton_loop_dsl.py | kubeflow/kfp-tekton | b16bd8863aaf36de240b7306f501d62b95f01f31 | [
"Apache-2.0"
] | 102 | 2019-10-23T20:35:41.000Z | 2022-03-27T10:28:56.000Z | sdk/python/tests/compiler/testdata/tekton_loop_dsl.py | kubeflow/kfp-tekton | b16bd8863aaf36de240b7306f501d62b95f01f31 | [
"Apache-2.0"
] | 891 | 2019-10-24T04:08:17.000Z | 2022-03-31T22:45:40.000Z | sdk/python/tests/compiler/testdata/tekton_loop_dsl.py | kubeflow/kfp-tekton | b16bd8863aaf36de240b7306f501d62b95f01f31 | [
"Apache-2.0"
] | 85 | 2019-10-24T04:04:36.000Z | 2022-03-01T10:52:57.000Z | # Copyright 2021 kubeflow.org
#
# 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 writing... | 34 | 76 | 0.674949 | 0 | 0 | 0 | 0 | 806 | 0.408722 | 0 | 0 | 1,328 | 0.673428 |
e7146df9c79e95a75dba56942c81b49fcbfb3769 | 17,700 | py | Python | azure/mgmt/datalake/analytics/account/operations/data_lake_store_accounts_operations.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | 1 | 2022-01-25T22:52:58.000Z | 2022-01-25T22:52:58.000Z | azure/mgmt/datalake/analytics/account/operations/data_lake_store_accounts_operations.py | EnjoyLifeFund/Debian_py36_packages | 1985d4c73fabd5f08f54b922e73a9306e09c77a5 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | azure/mgmt/datalake/analytics/account/operations/data_lake_store_accounts_operations.py | EnjoyLifeFund/Debian_py36_packages | 1985d4c73fabd5f08f54b922e73a9306e09c77a5 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 49.859155 | 192 | 0.668192 | 17,090 | 0.965537 | 0 | 0 | 0 | 0 | 0 | 0 | 9,511 | 0.537345 |
e71491f4cb9bb7378a6de6ac09af125d71edaa4c | 317 | py | Python | Problem1/Collections/DefaultDict Tutorial.py | Joanna-O-Ben/ADM-HW1 | 0a914d4ab5462fa563980644d3f5d777af61aef9 | [
"MIT"
] | null | null | null | Problem1/Collections/DefaultDict Tutorial.py | Joanna-O-Ben/ADM-HW1 | 0a914d4ab5462fa563980644d3f5d777af61aef9 | [
"MIT"
] | null | null | null | Problem1/Collections/DefaultDict Tutorial.py | Joanna-O-Ben/ADM-HW1 | 0a914d4ab5462fa563980644d3f5d777af61aef9 | [
"MIT"
] | null | null | null | # Enter your code here. Read input from STDIN. Print output to STDOUT
from collections import defaultdict
n, m = map(int, input().split())
d = defaultdict(lambda: -1)
for i in range(1, n+1):
word = input()
d[word] = d[word] + ' ' + str(i) if word in d else str(i)
for _ in range(m):
print(d[input()])
| 22.642857 | 69 | 0.630915 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0.227129 |
e715ae23973f203c68cfe998932183b2bad3bee2 | 6,966 | py | Python | excptr/excptr.py | kakkarja/Excptr | 2ed1b40da339130eb15770c1cc91e94e3a17690f | [
"BSD-3-Clause"
] | null | null | null | excptr/excptr.py | kakkarja/Excptr | 2ed1b40da339130eb15770c1cc91e94e3a17690f | [
"BSD-3-Clause"
] | null | null | null | excptr/excptr.py | kakkarja/Excptr | 2ed1b40da339130eb15770c1cc91e94e3a17690f | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2022, KarjaKAK
# All rights reserved.
from functools import wraps
from textwrap import fill
from contextlib import redirect_stdout
from datetime import datetime as dt
import io, inspect, os, sys
__all__ = ['']
DIRPATH = (
os.environ["USERPROFILE"] if sys.platform.startsw... | 30.419214 | 87 | 0.47617 | 0 | 0 | 0 | 0 | 1,635 | 0.234711 | 0 | 0 | 1,364 | 0.195808 |
e715d497f6c98d297a4d39a0e91d8045bc2c4af4 | 81 | py | Python | ims/apps.py | lcneo/ims | 94fc8a1dea0278acdde8599224c0a7c8d54d758c | [
"MIT"
] | 8 | 2020-10-02T02:41:12.000Z | 2021-09-22T08:37:26.000Z | ims/apps.py | lcneo/ims | 94fc8a1dea0278acdde8599224c0a7c8d54d758c | [
"MIT"
] | 15 | 2021-03-19T03:43:56.000Z | 2022-03-12T00:30:55.000Z | ims/apps.py | hisham2k9/IMS-and-CAPA | 9f70988a6411c72ab4f0cbc818b84db58a28076f | [
"MIT"
] | 2 | 2018-12-22T20:19:13.000Z | 2020-09-02T07:32:21.000Z | from django.apps import AppConfig
class ImsConfig(AppConfig):
name = 'ims'
| 13.5 | 33 | 0.728395 | 44 | 0.54321 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0.061728 |
e71644cfb5d102b2cef3ef1c0dbff7833919d707 | 772 | py | Python | transports/validators.py | I-TECH-UW/mwachx | e191755c3369208d678fceec68dbb4f5f51c453a | [
"Apache-2.0"
] | 3 | 2015-05-27T14:35:49.000Z | 2016-02-26T21:04:32.000Z | transports/validators.py | tperrier/mwachx | 94616659dc29843e661b2ecc9a2e7f1d4e81b5a4 | [
"Apache-2.0"
] | 375 | 2015-01-31T10:08:34.000Z | 2021-06-10T19:44:21.000Z | transports/validators.py | I-TECH-UW/mwachx | e191755c3369208d678fceec68dbb4f5f51c453a | [
"Apache-2.0"
] | 6 | 2016-01-10T19:52:41.000Z | 2020-06-15T22:07:24.000Z | class Validator(object):
def __init__(self,name,check=None,action=None):
self.name = '{0}_validator'.format(name)
self.check = check
self.action = action
def __call__(self,message):
return self.check(message)
def set(self,action):
if not (action == 'check' or actio... | 30.88 | 80 | 0.626943 | 769 | 0.996114 | 0 | 0 | 0 | 0 | 0 | 0 | 81 | 0.104922 |
e716eb4f5f13801172dc0b217aa846ea2a03b1b0 | 25,735 | py | Python | PyU4V/tests/unit_tests/test_pyu4v_system.py | SiSTm1/PyU4V | ce9784fc5f8192024cfa42509b8d45583b83f01d | [
"MIT"
] | 19 | 2020-01-06T12:02:25.000Z | 2021-12-14T06:50:04.000Z | PyU4V/tests/unit_tests/test_pyu4v_system.py | SiSTm1/PyU4V | ce9784fc5f8192024cfa42509b8d45583b83f01d | [
"MIT"
] | 53 | 2019-12-17T17:26:44.000Z | 2022-02-03T12:28:34.000Z | PyU4V/tests/unit_tests/test_pyu4v_system.py | SiSTm1/PyU4V | ce9784fc5f8192024cfa42509b8d45583b83f01d | [
"MIT"
] | 11 | 2020-05-24T14:42:46.000Z | 2022-03-02T16:30:57.000Z | # Copyright (c) 2020 Dell Inc. or its subsidiaries.
#
# 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... | 46.790909 | 79 | 0.674956 | 24,056 | 0.934758 | 0 | 0 | 9,958 | 0.386944 | 0 | 0 | 4,400 | 0.170973 |
e7184bb619f9cf0c50a0b0b91431faa51ba55646 | 4,968 | py | Python | fbms/create_fg_bg_masks.py | MSiam/segment-any-moving | 82cb782867d866d2f4eb68230edb75f613e15a02 | [
"Apache-2.0"
] | 70 | 2019-09-16T17:55:55.000Z | 2022-03-07T00:26:53.000Z | fbms/create_fg_bg_masks.py | MSiam/segment-any-moving | 82cb782867d866d2f4eb68230edb75f613e15a02 | [
"Apache-2.0"
] | 9 | 2019-09-30T09:15:11.000Z | 2021-07-21T11:33:13.000Z | fbms/create_fg_bg_masks.py | MSiam/segment-any-moving | 82cb782867d866d2f4eb68230edb75f613e15a02 | [
"Apache-2.0"
] | 5 | 2019-09-25T05:14:37.000Z | 2021-07-08T20:13:47.000Z | """Create foreground/background motion masks from detections."""
import argparse
import logging
import pickle
import pprint
from pathlib import Path
import numpy as np
from PIL import Image
import pycocotools.mask as mask_util
from utils.fbms import utils as fbms_utils
from utils.log import add_time_to_path, setup_... | 35.741007 | 78 | 0.652576 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 861 | 0.173309 |
e7192a652cc3b4f56fd8f1600fe41d11e8eebf58 | 221 | py | Python | tests/file_to_strip.py | smok-serwis/strip-docs | 17ceb3aef9b3a8b9f80592da51cd8162edfc7600 | [
"MIT"
] | null | null | null | tests/file_to_strip.py | smok-serwis/strip-docs | 17ceb3aef9b3a8b9f80592da51cd8162edfc7600 | [
"MIT"
] | null | null | null | tests/file_to_strip.py | smok-serwis/strip-docs | 17ceb3aef9b3a8b9f80592da51cd8162edfc7600 | [
"MIT"
] | null | null | null | """
Strip me
"""
class EmptyClass(object):
"""Strip me"""
pass
def empty_method(self):
"""Strip me"""
pass
def empty_routine():
"""
Strip me
:return: nothing
"""
pass
| 10.045455 | 27 | 0.493213 | 118 | 0.533937 | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 0.40724 |
e71995c893a9d316253ea7bd48b5f5659ea3fec1 | 1,669 | py | Python | src/dispatch/plugins/dispatch_google/common.py | jason-azze/dispatch | 56a9435d08b32429c6b44f83cb0f5aff5a8b6931 | [
"Apache-2.0"
] | null | null | null | src/dispatch/plugins/dispatch_google/common.py | jason-azze/dispatch | 56a9435d08b32429c6b44f83cb0f5aff5a8b6931 | [
"Apache-2.0"
] | 2 | 2021-03-11T04:29:11.000Z | 2021-10-06T21:12:45.000Z | src/dispatch/plugins/dispatch_google/common.py | jason-azze/dispatch | 56a9435d08b32429c6b44f83cb0f5aff5a8b6931 | [
"Apache-2.0"
] | null | null | null | import json
import socket
import tempfile
from google.oauth2 import service_account
import googleapiclient.discovery
from .config import (
GOOGLE_SERVICE_ACCOUNT_CLIENT_EMAIL,
GOOGLE_SERVICE_ACCOUNT_CLIENT_ID,
GOOGLE_SERVICE_ACCOUNT_DELAGATED_ACCOUNT,
GOOGLE_SERVICE_ACCOUNT_PRIVATE_KEY,
GOOGLE_SER... | 32.096154 | 98 | 0.732774 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 201 | 0.120431 |
e719d280906322349a44262ff73a7f9f71dcec17 | 511 | py | Python | web_app/main.py | dimagi/commcare-fhir-web-app | c0afec94a177b79ee8314ac29692d0697567e1f2 | [
"Apache-2.0"
] | null | null | null | web_app/main.py | dimagi/commcare-fhir-web-app | c0afec94a177b79ee8314ac29692d0697567e1f2 | [
"Apache-2.0"
] | 3 | 2021-04-19T16:03:45.000Z | 2021-05-06T11:11:21.000Z | web_app/main.py | dimagi/commcare-fhir-web-app | c0afec94a177b79ee8314ac29692d0697567e1f2 | [
"Apache-2.0"
] | null | null | null | from flask import Flask, render_template, request
from web_app.fhir_client import fetch_patient_data
app = Flask(__name__)
@app.route('/')
def root():
return render_template('root.html')
@app.route('/patient/')
def view_patient():
patient_id = request.args['patient_id']
patient, observations, diag_rep... | 22.217391 | 72 | 0.708415 | 0 | 0 | 0 | 0 | 380 | 0.74364 | 0 | 0 | 51 | 0.099804 |
e71b58e87dfbb0a1a266b2ea42679908ef474085 | 1,070 | py | Python | plugml/dao.py | mkraemer67/plugml | d1702a2b733e0511c735fea08e30b5b3f959a174 | [
"Apache-2.0"
] | 1 | 2015-03-26T13:28:47.000Z | 2015-03-26T13:28:47.000Z | plugml/dao.py | mkraemer67/plugml | d1702a2b733e0511c735fea08e30b5b3f959a174 | [
"Apache-2.0"
] | null | null | null | plugml/dao.py | mkraemer67/plugml | d1702a2b733e0511c735fea08e30b5b3f959a174 | [
"Apache-2.0"
] | null | null | null | import psycopg2
class Dao:
def __init__(self, dbUrl):
self._url = dbUrl
def __enter__(self):
conn = psycopg2.connect(self._url)
self.conn = conn
class _Dao:
def get(self, table, orderBy="id", limit=None):
cursor = conn.cursor()
... | 32.424242 | 72 | 0.447664 | 1,051 | 0.982243 | 0 | 0 | 0 | 0 | 0 | 0 | 104 | 0.097196 |
e71d0f0f5c085420788077efbcac474df2e59445 | 57 | py | Python | align_images/__init__.py | ArcturusB/align_images | 7bf0348e17db4172bc4ddd259d8a9dfbe9eca0e7 | [
"Unlicense"
] | 1 | 2019-06-21T05:11:34.000Z | 2019-06-21T05:11:34.000Z | align_images/__init__.py | ArcturusB/align_images | 7bf0348e17db4172bc4ddd259d8a9dfbe9eca0e7 | [
"Unlicense"
] | null | null | null | align_images/__init__.py | ArcturusB/align_images | 7bf0348e17db4172bc4ddd259d8a9dfbe9eca0e7 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
from . import align, cc2d, tools
| 14.25 | 32 | 0.701754 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.385965 |
e71fe0afc69089b13f571b743733ac7787ae15e6 | 394 | py | Python | website/models/home_tab.py | LKKTGB/lkk-website | d9cd2f5a11f2b4316ea4b242c5e09981207abdfb | [
"MIT"
] | null | null | null | website/models/home_tab.py | LKKTGB/lkk-website | d9cd2f5a11f2b4316ea4b242c5e09981207abdfb | [
"MIT"
] | 5 | 2020-04-26T09:03:33.000Z | 2022-02-02T13:00:39.000Z | website/models/home_tab.py | LKKTGB/lkk-website | d9cd2f5a11f2b4316ea4b242c5e09981207abdfb | [
"MIT"
] | null | null | null | from django.db import models
from django.utils.translation import ugettext_lazy as _
class HomeTab(models.Model):
name = models.CharField(_('home_tab_name'), max_length=100)
order = models.PositiveSmallIntegerField(_('home_tab_order'))
class Meta:
verbose_name = _('home_tab')
verbose_name... | 26.266667 | 65 | 0.708122 | 306 | 0.77665 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 0.13198 |
e720bfb7b582ffd688d460b748233b9c2140ca6a | 1,528 | py | Python | kite-python/kite_ml/kite/infer_keyword/classifier.py | kiteco/kiteco-public | 74aaf5b9b0592153b92f7ed982d65e15eea885e3 | [
"BSD-3-Clause"
] | 17 | 2022-01-10T11:01:50.000Z | 2022-03-25T03:21:08.000Z | kite-python/kite_ml/kite/infer_keyword/classifier.py | kiteco/kiteco-public | 74aaf5b9b0592153b92f7ed982d65e15eea885e3 | [
"BSD-3-Clause"
] | 1 | 2022-01-13T14:28:47.000Z | 2022-01-13T14:28:47.000Z | kite-python/kite_ml/kite/infer_keyword/classifier.py | kiteco/kiteco-public | 74aaf5b9b0592153b92f7ed982d65e15eea885e3 | [
"BSD-3-Clause"
] | 7 | 2022-01-07T03:58:10.000Z | 2022-03-24T07:38:20.000Z | import tensorflow as tf
class SoftmaxClassifier(object):
# x should have a shape of [batch size, encoded feature size]
def __init__(self, x: tf.Tensor, n_categories: int, scope: str):
with tf.name_scope(scope):
self.labels: tf.Tensor = tf.placeholder(tf.int64, [None], name='labels') # sha... | 52.689655 | 119 | 0.645942 | 1,501 | 0.98233 | 0 | 0 | 0 | 0 | 0 | 0 | 409 | 0.26767 |
e722c1eb1d2bea4a1f19801458516ddedaac5629 | 226 | py | Python | 001146StepikPyBegin/Stepik001146PyBeginсh04p01st12C09_v06_Ivan_Merzlyakov_20200413.py | SafonovMikhail/python_000577 | 739f764e80f1ca354386f00b8e9db1df8c96531d | [
"Apache-2.0"
] | null | null | null | 001146StepikPyBegin/Stepik001146PyBeginсh04p01st12C09_v06_Ivan_Merzlyakov_20200413.py | SafonovMikhail/python_000577 | 739f764e80f1ca354386f00b8e9db1df8c96531d | [
"Apache-2.0"
] | null | null | null | 001146StepikPyBegin/Stepik001146PyBeginсh04p01st12C09_v06_Ivan_Merzlyakov_20200413.py | SafonovMikhail/python_000577 | 739f764e80f1ca354386f00b8e9db1df8c96531d | [
"Apache-2.0"
] | null | null | null | # https://stepik.org/lesson/265081/step/12?discussion=1542627&thread=solutions&unit=246029
s, a, b, c = 0, int(input()), int(input()), int(input())
s += a if a > 0 else 0
s += b if b > 0 else 0
s += c if c > 0 else 0
print(s)
| 32.285714 | 90 | 0.628319 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 0.39823 |
e722cecb5e5dea00739adffd75f58caf64344e85 | 171 | py | Python | assets/tuned/daemon/tuned/version.py | marioferh/cluster-node-tuning-operator | c0a64236e2083739e0b560f0bf75f65859df059e | [
"Apache-2.0"
] | null | null | null | assets/tuned/daemon/tuned/version.py | marioferh/cluster-node-tuning-operator | c0a64236e2083739e0b560f0bf75f65859df059e | [
"Apache-2.0"
] | null | null | null | assets/tuned/daemon/tuned/version.py | marioferh/cluster-node-tuning-operator | c0a64236e2083739e0b560f0bf75f65859df059e | [
"Apache-2.0"
] | 2 | 2022-02-02T11:46:53.000Z | 2022-02-02T11:51:57.000Z | TUNED_VERSION_MAJOR = 2
TUNED_VERSION_MINOR = 18
TUNED_VERSION_PATCH = 0
TUNED_VERSION_STR = "%d.%d.%d" % (TUNED_VERSION_MAJOR, TUNED_VERSION_MINOR, TUNED_VERSION_PATCH)
| 28.5 | 96 | 0.807018 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.05848 |
e723fc68b936a185b342791de1bcfa8bea088d91 | 1,550 | py | Python | pages/process.py | BuildWeek-AirBnB-Optimal-Price/application | c65e1ec3db309dd3afbcf9429d16489ccda534d8 | [
"MIT"
] | null | null | null | pages/process.py | BuildWeek-AirBnB-Optimal-Price/application | c65e1ec3db309dd3afbcf9429d16489ccda534d8 | [
"MIT"
] | 1 | 2021-08-23T21:22:51.000Z | 2021-08-23T21:22:51.000Z | pages/process.py | BuildWeek-AirBnB-Optimal-Price/application | c65e1ec3db309dd3afbcf9429d16489ccda534d8 | [
"MIT"
] | null | null | null | '''
blog space for
collaborative and
model development process
RJProcess
'''
# Imports from 3rd party libraries
import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from app import app
# 1 column layout... | 26.271186 | 212 | 0.687742 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,161 | 0.749032 |
e725e18e3a277e1d976adc5ce8f0c78b09bd922e | 999 | py | Python | pro_tes/ga4gh/tes/endpoints/utils.py | Ayush5120/proTES | 5bf1a7394b7c528f6d5a5dc38c05689262ae033a | [
"Apache-2.0"
] | 2 | 2020-02-14T18:41:08.000Z | 2020-02-17T06:56:10.000Z | pro_tes/ga4gh/tes/endpoints/utils.py | Ayush5120/proTES | 5bf1a7394b7c528f6d5a5dc38c05689262ae033a | [
"Apache-2.0"
] | 22 | 2018-11-15T18:17:09.000Z | 2019-11-21T14:14:40.000Z | pro_tes/ga4gh/tes/endpoints/utils.py | Ayush5120/proTES | 5bf1a7394b7c528f6d5a5dc38c05689262ae033a | [
"Apache-2.0"
] | 3 | 2020-03-25T11:28:40.000Z | 2022-03-16T09:41:59.000Z | def
# Set access token
if authorization required:
try:
access_token = request_access_token(
user_id=document['user_id'],
token_endpoint=endpoint_params['token_endpoint'],
timeout=endpoint_params['timeout_token_request'],
)
... | 34.448276 | 78 | 0.502503 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 217 | 0.217217 |
e72663b878c8d9076da42c6d7b5d2a0e8a31201f | 26 | py | Python | code/src/__init__.py | nzw0301/Understanding-Negative-Samples-in-Instance-Discriminative-Self-supervised-Representation-Learning | 957173bd8ec5b5e00994099d8b4467c74b802303 | [
"MIT"
] | 4 | 2021-10-06T07:04:43.000Z | 2022-01-28T09:31:29.000Z | code/src/__init__.py | nzw0301/Understanding-Negative-Samples | 957173bd8ec5b5e00994099d8b4467c74b802303 | [
"MIT"
] | null | null | null | code/src/__init__.py | nzw0301/Understanding-Negative-Samples | 957173bd8ec5b5e00994099d8b4467c74b802303 | [
"MIT"
] | null | null | null | from .loss import NT_Xent
| 13 | 25 | 0.807692 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e7266a839947e7bff99aab9ea7cf93fed2314c1b | 84 | py | Python | framework/rpibaremetal/connection/__init__.py | KisImre/rpi-bare-metal-prototyping-framework | ec3db9db3697ddfdd56e8883d34111981a4c38f7 | [
"MIT"
] | null | null | null | framework/rpibaremetal/connection/__init__.py | KisImre/rpi-bare-metal-prototyping-framework | ec3db9db3697ddfdd56e8883d34111981a4c38f7 | [
"MIT"
] | null | null | null | framework/rpibaremetal/connection/__init__.py | KisImre/rpi-bare-metal-prototyping-framework | ec3db9db3697ddfdd56e8883d34111981a4c38f7 | [
"MIT"
] | null | null | null | # Copyright (c) 2020, Kis Imre. All rights reserved.
# SPDX-License-Identifier: MIT
| 28 | 52 | 0.738095 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 0.97619 |
e726ce3420ac33849733ba1549bfbf5f6cbd4bab | 2,085 | py | Python | src/Chap13_Lab_PageRank.py | falconlee236/CodingTheMatrix-Answer | 4fab8087bde352913da71c8d86b802a93231b1b5 | [
"MIT"
] | null | null | null | src/Chap13_Lab_PageRank.py | falconlee236/CodingTheMatrix-Answer | 4fab8087bde352913da71c8d86b802a93231b1b5 | [
"MIT"
] | null | null | null | src/Chap13_Lab_PageRank.py | falconlee236/CodingTheMatrix-Answer | 4fab8087bde352913da71c8d86b802a93231b1b5 | [
"MIT"
] | null | null | null | from pagerank_test import small_links, A2
from pagerank import find_word, read_data
from vec import Vec
from mat import Mat
from math import sqrt
# Task 13.12.1
def find_num_links(L):
return Vec(L.D[0], {key: 1 for key in L.D[0]}) * L
# Task 13.12.2
def make_Markov(L):
num_links = find_num_links(L)
... | 20.441176 | 73 | 0.608633 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 161 | 0.077218 |
e7276f28ac4e072f7bd65b6f8eba2b3bc1b6fc22 | 4,695 | py | Python | tasks/parsing/parsers.py | rasmusbergpalm/attend-copy-parse | 4673be36db64e982ceabc1e29ff34a296917f969 | [
"MIT"
] | 8 | 2021-05-11T12:12:23.000Z | 2022-02-10T09:56:14.000Z | tasks/parsing/parsers.py | karimcossentini/attend-copy-parse | 4acbe7bfc2be1b5c21c197a44b27143a9422b426 | [
"MIT"
] | 3 | 2021-08-11T06:44:56.000Z | 2022-03-14T09:16:03.000Z | tasks/parsing/parsers.py | rasmusbergpalm/attend-copy-parse | 4673be36db64e982ceabc1e29ff34a296917f969 | [
"MIT"
] | 2 | 2021-05-22T07:41:21.000Z | 2021-05-26T12:39:02.000Z | import tensorflow as tf
from tensorflow.contrib import layers
from tensorflow.contrib.cudnn_rnn import CudnnLSTM
from tensorflow.contrib.cudnn_rnn.python.layers.cudnn_rnn import CUDNN_RNN_BIDIRECTION
import os
from tasks.acp.data import RealData
class Parser:
def parse(self, x, context, is_training):
rais... | 35.568182 | 140 | 0.613845 | 4,434 | 0.944409 | 0 | 0 | 0 | 0 | 0 | 0 | 775 | 0.165069 |
e72ac116e6c24e4369118ac69de62498b785f6e9 | 7,297 | py | Python | scripts/etl/constants.py | lcbm/cs-data-viz | 9272833b612b8921fe21b1196904e40f9e827e0e | [
"0BSD"
] | null | null | null | scripts/etl/constants.py | lcbm/cs-data-viz | 9272833b612b8921fe21b1196904e40f9e827e0e | [
"0BSD"
] | null | null | null | scripts/etl/constants.py | lcbm/cs-data-viz | 9272833b612b8921fe21b1196904e40f9e827e0e | [
"0BSD"
] | null | null | null | """ File with the definitions of constants for the ETL scripts. """
SCRIPTS_DIR = "scripts"
SCRIPTS_ETL_DIR = f"{SCRIPTS_DIR}/etl"
SCRIPTS_ETL_TRANSFORM = f"{SCRIPTS_ETL_DIR}/transform.sh"
VENV_BIN = ".venv/bin"
VENV_KAGGLE_BIN = f"{VENV_BIN}/kaggle"
DOCKER_DIR = "docker"
ENVARS_DIR = f"{DOCKER_DIR}/env.d"
DATA_DIR =... | 33.319635 | 93 | 0.771139 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,926 | 0.263944 |
e72ac9ee875861cb5ac036cb18ed4ef985d32680 | 3,262 | py | Python | SouthernOceanTopography3D.py | cesar-rocha/SouthernOceanTopography | 10e698e01e8435ae35ef028437d7a881fa3e5585 | [
"MIT"
] | null | null | null | SouthernOceanTopography3D.py | cesar-rocha/SouthernOceanTopography | 10e698e01e8435ae35ef028437d7a881fa3e5585 | [
"MIT"
] | null | null | null | SouthernOceanTopography3D.py | cesar-rocha/SouthernOceanTopography | 10e698e01e8435ae35ef028437d7a881fa3e5585 | [
"MIT"
] | 1 | 2020-12-11T02:15:56.000Z | 2020-12-11T02:15:56.000Z |
# coding: utf-8
# This script makes a 3D plot of the Southern Ocean topography.
#
# The data comes from some geophysiscists at Columbia. The product is "MGDS: Global Multi-Resolution Topography". These folks took all multibeam swath data that they can get their hands on and filled gaps with Smith and Sandwell. See ht... | 23.467626 | 292 | 0.671061 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 952 | 0.291845 |
e72c41aab33604f2ec16e615d495812f5f5c7b37 | 139 | py | Python | login/urls.py | JianPpan/untitled_ClassManagement | f6bd968823fc376ec1971ee9d2eece308287455a | [
"MulanPSL-1.0"
] | null | null | null | login/urls.py | JianPpan/untitled_ClassManagement | f6bd968823fc376ec1971ee9d2eece308287455a | [
"MulanPSL-1.0"
] | null | null | null | login/urls.py | JianPpan/untitled_ClassManagement | f6bd968823fc376ec1971ee9d2eece308287455a | [
"MulanPSL-1.0"
] | null | null | null | from django.conf.urls import url
from login.views import login
app_name = 'logins'
urlpatterns = [
url(r'^$', login, name='login')
] | 15.444444 | 35 | 0.683453 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0.143885 |
e72e5ca0d5f1fd1ab089d27e8486d4e08350c674 | 2,136 | py | Python | tests/performance_test.py | CMU-TBD/behavior_machine | b403192b8002603fc20c76713c7a9fe46a7ed686 | [
"MIT"
] | 1 | 2020-07-28T20:17:52.000Z | 2020-07-28T20:17:52.000Z | tests/performance_test.py | CMU-TBD/behavior_machine | b403192b8002603fc20c76713c7a9fe46a7ed686 | [
"MIT"
] | 1 | 2021-01-25T15:54:45.000Z | 2021-01-25T15:54:45.000Z | tests/performance_test.py | CMU-TBD/behavior_machine | b403192b8002603fc20c76713c7a9fe46a7ed686 | [
"MIT"
] | 1 | 2021-01-22T06:12:10.000Z | 2021-01-22T06:12:10.000Z | from behavior_machine.library.parallel_state import ParallelState
import time
from behavior_machine.core import Board, StateStatus, State, Machine, machine
from behavior_machine.library import IdleState
def test_repeat_node_in_machine_fast():
counter = 0
class CounterState(State):
def execute(self,... | 27.384615 | 77 | 0.654963 | 472 | 0.220974 | 0 | 0 | 0 | 0 | 0 | 0 | 176 | 0.082397 |
e72eb1777b0eeb9d14e40c925b44ea47d54e32ca | 289 | py | Python | kubernetes_typed/client/models/v1_nfs_volume_source.py | nikhiljha/kubernetes-typed | 4f4b969aa400c88306f92560e56bda6d19b2a895 | [
"Apache-2.0"
] | 22 | 2020-12-10T13:06:02.000Z | 2022-02-13T21:58:15.000Z | kubernetes_typed/client/models/v1_nfs_volume_source.py | nikhiljha/kubernetes-typed | 4f4b969aa400c88306f92560e56bda6d19b2a895 | [
"Apache-2.0"
] | 4 | 2021-03-08T07:06:12.000Z | 2022-03-29T23:41:45.000Z | kubernetes_typed/client/models/v1_nfs_volume_source.py | nikhiljha/kubernetes-typed | 4f4b969aa400c88306f92560e56bda6d19b2a895 | [
"Apache-2.0"
] | 2 | 2021-09-05T19:18:28.000Z | 2022-03-14T02:56:17.000Z | # Code generated by `typeddictgen`. DO NOT EDIT.
"""V1NFSVolumeSourceDict generated type."""
from typing import TypedDict
V1NFSVolumeSourceDict = TypedDict(
"V1NFSVolumeSourceDict",
{
"path": str,
"readOnly": bool,
"server": str,
},
total=False,
)
| 20.642857 | 48 | 0.636678 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 138 | 0.477509 |
e72ec4ac47db8b60c5ca290dce90179f2358006a | 3,580 | py | Python | scdown/sc.py | chrisjr/scdown | fe82dce52884661297ecf640cd3ffd18c76ffc25 | [
"MIT"
] | null | null | null | scdown/sc.py | chrisjr/scdown | fe82dce52884661297ecf640cd3ffd18c76ffc25 | [
"MIT"
] | null | null | null | scdown/sc.py | chrisjr/scdown | fe82dce52884661297ecf640cd3ffd18c76ffc25 | [
"MIT"
] | null | null | null | import soundcloud
import os
import logging
from datetime import datetime
import requests
import sys
from celeryconfig import mongolab
import pymongo
from pymongo import MongoClient
from pymongo.errors import OperationFailure
USER = '/users/{_id}'
USER_TRACKS = '/users/{_id}/tracks'
USER_FOLLOWINGS = '/users/{_id}/fol... | 30.862069 | 75 | 0.572626 | 2,729 | 0.762291 | 0 | 0 | 0 | 0 | 0 | 0 | 472 | 0.131844 |
e730923173d6165ff991f322cce7b078b98b427d | 3,163 | py | Python | engine/api/gcp/tasks/system_add_new_usecase.py | torrotitans/torro_community | a3f153e69a860f0d6c831145f529d9e92193a0ae | [
"MIT"
] | 1 | 2022-01-12T08:31:59.000Z | 2022-01-12T08:31:59.000Z | engine/api/gcp/tasks/system_add_new_usecase.py | torrotitans/torro_community | a3f153e69a860f0d6c831145f529d9e92193a0ae | [
"MIT"
] | null | null | null | engine/api/gcp/tasks/system_add_new_usecase.py | torrotitans/torro_community | a3f153e69a860f0d6c831145f529d9e92193a0ae | [
"MIT"
] | 2 | 2022-01-19T06:26:32.000Z | 2022-01-26T15:25:15.000Z | from api.gcp.tasks.baseTask import baseTask
from db.usecase.db_usecase_mgr import usecase_mgr
from googleapiclient.errors import HttpError
from utils.status_code import response_code
import traceback
import json
import logging
logger = logging.getLogger("main.api.gcp.tasks" + __name__)
class system_add_new_usecase(bas... | 44.549296 | 121 | 0.5773 | 2,875 | 0.908947 | 0 | 0 | 0 | 0 | 0 | 0 | 911 | 0.288018 |
e73096dd8b901862007a1822a67dd870b61cd04e | 43,110 | py | Python | tests/PyroTests/test_server.py | gabehack/Pyro4 | 88f88bf1ccdfaff8c2bbbda8fc032a145d07d44b | [
"MIT"
] | null | null | null | tests/PyroTests/test_server.py | gabehack/Pyro4 | 88f88bf1ccdfaff8c2bbbda8fc032a145d07d44b | [
"MIT"
] | null | null | null | tests/PyroTests/test_server.py | gabehack/Pyro4 | 88f88bf1ccdfaff8c2bbbda8fc032a145d07d44b | [
"MIT"
] | null | null | null | """
Tests for a running Pyro server, without timeouts.
Pyro - Python Remote Objects. Copyright by Irmen de Jong (irmen@razorvine.net).
"""
import time
import sys
import uuid
import unittest
import Pyro4.core
import Pyro4.errors
import Pyro4.util
import Pyro4.message
from Pyro4 import threadutil, curren... | 42.767857 | 153 | 0.575389 | 42,587 | 0.987868 | 0 | 0 | 1,474 | 0.034192 | 0 | 0 | 7,415 | 0.172002 |
e731796d279cf969e12aff158cf9fea92faa20ea | 1,394 | py | Python | allies/management/commands/volley_ally.py | kevincornish/HeckGuide | eb974d6b589908f5fc2308d41032a48941cc3d21 | [
"MIT"
] | 4 | 2022-02-16T10:19:11.000Z | 2022-03-17T03:34:26.000Z | allies/management/commands/volley_ally.py | kevincornish/HeckGuide | eb974d6b589908f5fc2308d41032a48941cc3d21 | [
"MIT"
] | 1 | 2022-02-17T14:02:31.000Z | 2022-03-31T03:56:42.000Z | allies/management/commands/volley_ally.py | kevincornish/HeckGuide | eb974d6b589908f5fc2308d41032a48941cc3d21 | [
"MIT"
] | 3 | 2022-02-17T06:13:52.000Z | 2022-03-23T21:37:21.000Z | from django.core.management.base import BaseCommand, CommandError
from api import HeckfireApi, TokenException
from django.conf import settings
import logging
logger = logging.getLogger(__name__)
class Command(BaseCommand):
help = 'Volly an ally via supplied username'
def add_arguments(self, parser):
pa... | 38.722222 | 82 | 0.607604 | 1,199 | 0.860115 | 0 | 0 | 0 | 0 | 0 | 0 | 395 | 0.283357 |
e73755fa550829d883f1573e3aa8b34fc04f814e | 7,030 | py | Python | src/tabnet/sparsemax.py | clemens33/thesis | c94e066c2fe22881a7465eb9c3859bd02138748e | [
"MIT"
] | null | null | null | src/tabnet/sparsemax.py | clemens33/thesis | c94e066c2fe22881a7465eb9c3859bd02138748e | [
"MIT"
] | null | null | null | src/tabnet/sparsemax.py | clemens33/thesis | c94e066c2fe22881a7465eb9c3859bd02138748e | [
"MIT"
] | null | null | null | from typing import Any, Tuple, Union
import torch
import torch.nn as nn
from entmax import entmax_bisect
class _Sparsemax1(torch.autograd.Function):
"""adapted from https://github.com/aced125/sparsemax/tree/master/sparsemax"""
@staticmethod
def forward(ctx: Any, input: torch.Tensor, dim: int = -1) -> to... | 32.100457 | 117 | 0.616074 | 6,912 | 0.983215 | 0 | 0 | 5,697 | 0.810384 | 0 | 0 | 2,088 | 0.297013 |
e737a6ff2ca452102fe4ae2d50a7bb2e06a1ab1b | 1,423 | py | Python | subseasonal_toolkit/models/deb_ecmwf/ecmwf_utils.py | UtopiaLLC/subseasonal_toolkit | 35e120a010606d10a7d94cdfbf4cb8347a234dfb | [
"MIT"
] | 2 | 2021-10-02T07:37:52.000Z | 2022-01-27T07:46:31.000Z | subseasonal_toolkit/models/deb_ecmwf/ecmwf_utils.py | UtopiaLLC/subseasonal_toolkit | 35e120a010606d10a7d94cdfbf4cb8347a234dfb | [
"MIT"
] | null | null | null | subseasonal_toolkit/models/deb_ecmwf/ecmwf_utils.py | UtopiaLLC/subseasonal_toolkit | 35e120a010606d10a7d94cdfbf4cb8347a234dfb | [
"MIT"
] | 3 | 2021-09-27T16:53:35.000Z | 2021-12-27T21:39:07.000Z | from scipy.spatial.distance import cdist, euclidean
def geometric_median(X, eps=1e-5):
"""Computes the geometric median of the columns of X, up to a tolerance epsilon.
The geometric median is the vector that minimizes the mean Euclidean norm to
each column of X.
"""
y = np.mean(X, 0)
while Tru... | 30.276596 | 99 | 0.550246 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 477 | 0.335207 |
e7390c6ea9997d92c5a59b802c520427aaf2e179 | 2,493 | py | Python | espnet2/gan_tts/vits/monotonic_align/__init__.py | roshansh-cmu/espnet | 5fa6dcc4e649dc66397c629d0030d09ecef36b80 | [
"Apache-2.0"
] | null | null | null | espnet2/gan_tts/vits/monotonic_align/__init__.py | roshansh-cmu/espnet | 5fa6dcc4e649dc66397c629d0030d09ecef36b80 | [
"Apache-2.0"
] | null | null | null | espnet2/gan_tts/vits/monotonic_align/__init__.py | roshansh-cmu/espnet | 5fa6dcc4e649dc66397c629d0030d09ecef36b80 | [
"Apache-2.0"
] | null | null | null | """Maximum path calculation module.
This code is based on https://github.com/jaywalnut310/vits.
"""
import warnings
import numpy as np
import torch
from numba import njit, prange
try:
from .core import maximum_path_c
is_cython_avalable = True
except ImportError:
is_cython_avalable = False
warnings... | 31.1625 | 88 | 0.607702 | 0 | 0 | 0 | 0 | 1,027 | 0.411953 | 0 | 0 | 680 | 0.272764 |
e739779fbb9f7ff0a4abdae832fc3a6922d47f68 | 620 | py | Python | plugins/mod_log.py | nfcgate/server | 51dd45e64f91e765b1a0c9d5e5f52933006fb212 | [
"Apache-2.0"
] | 25 | 2016-01-13T21:59:00.000Z | 2022-02-05T07:55:18.000Z | plugins/mod_log.py | salmg/server | e5b485c4e2517aa741ed70948a92c61c1bc73f62 | [
"Apache-2.0"
] | 3 | 2018-05-30T13:42:12.000Z | 2020-10-13T09:56:01.000Z | plugins/mod_log.py | salmg/server | e5b485c4e2517aa741ed70948a92c61c1bc73f62 | [
"Apache-2.0"
] | 19 | 2015-08-23T02:53:33.000Z | 2021-09-28T20:53:50.000Z | from plugins.c2c_pb2 import NFCData
from plugins.c2s_pb2 import ServerData
def format_data(data):
if len(data) == 0:
return ""
nfc_data = NFCData()
nfc_data.ParseFromString(data)
letter = "C" if nfc_data.data_source == NFCData.CARD else "R"
initial = "(initial) " if nfc_data.data_type ==... | 26.956522 | 88 | 0.701613 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0.051613 |
e7398960f4dd8de46cd8fd73487b06b0c4d4c812 | 3,191 | py | Python | rowboat/plugins/join.py | DeJayDev/speedboat | ecce2075b69d8e18de17fac0daa702eb59cfcddd | [
"MIT"
] | 16 | 2021-01-03T14:00:48.000Z | 2022-03-01T21:03:27.000Z | rowboat/plugins/join.py | DeJayDev/speedboat | ecce2075b69d8e18de17fac0daa702eb59cfcddd | [
"MIT"
] | 14 | 2020-11-20T07:00:09.000Z | 2022-03-12T01:02:08.000Z | rowboat/plugins/join.py | SethBots/speedboat | e516261e9d34031045c70522955e8babe3d8ec6e | [
"MIT"
] | 9 | 2018-09-12T20:50:44.000Z | 2020-06-20T15:58:52.000Z | from datetime import datetime, timedelta
import gevent
from disco.types.base import SlottedModel
from disco.types.guild import VerificationLevel
from disco.util.snowflake import to_datetime
from rowboat.plugins import RowboatPlugin as Plugin
from rowboat.types import Field, snowflake
from rowboat.types.plugin import ... | 42.546667 | 127 | 0.67095 | 2,811 | 0.880915 | 0 | 0 | 2,411 | 0.755563 | 0 | 0 | 611 | 0.191476 |
e73ab7b64cfe244e1ca49e1be6932024a4d3924d | 7,062 | py | Python | hue/logic/action.py | dnnsmnstrr/workflows | 104b370292060b7011120e7decb3db26275ae7f5 | [
"Unlicense"
] | 4 | 2020-08-12T21:56:07.000Z | 2021-06-01T09:11:12.000Z | hue/logic/action.py | dnnsmnstrr/workflows | 104b370292060b7011120e7decb3db26275ae7f5 | [
"Unlicense"
] | null | null | null | hue/logic/action.py | dnnsmnstrr/workflows | 104b370292060b7011120e7decb3db26275ae7f5 | [
"Unlicense"
] | 1 | 2021-12-06T02:40:43.000Z | 2021-12-06T02:40:43.000Z | # encoding: utf-8
from __future__ import unicode_literals
import colorsys
import datetime
import json
import os
import random
import sys
import time
from packages.workflow import Workflow3 as Workflow
import colors
import harmony
import request
import setup
import utils
class HueAction:
def __init__(self):
... | 31.810811 | 98 | 0.534551 | 6,165 | 0.872982 | 0 | 0 | 0 | 0 | 0 | 0 | 1,244 | 0.176154 |
e73aed3b29e68e999fa8e3ace630cc2cc0db89e5 | 734 | py | Python | bookshelf/accounts/urls.py | Danielvalev/bookshelf | eda857b275de49623c57e2288f86f401b87406c9 | [
"MIT"
] | null | null | null | bookshelf/accounts/urls.py | Danielvalev/bookshelf | eda857b275de49623c57e2288f86f401b87406c9 | [
"MIT"
] | null | null | null | bookshelf/accounts/urls.py | Danielvalev/bookshelf | eda857b275de49623c57e2288f86f401b87406c9 | [
"MIT"
] | null | null | null | from django.urls import path
from accounts.views import user_profile, LogoutView, LoginView, RegisterView, user_profile_edit
urlpatterns = [
# path('login/', login_user, name='login user'),
path('login/', LoginView.as_view(), name='login user'), # CBV
# path('logout/', logout_user, name='logout user'),
... | 43.176471 | 95 | 0.678474 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 367 | 0.5 |
e73ccdac55d151051f197eec351b7129cd6e61de | 13,790 | py | Python | doc/.src/book/src/approx1D.py | hplgit/fem-book | c23099715dc3cb72e7f4d37625e6f9614ee5fc4e | [
"MIT"
] | 86 | 2015-12-17T12:57:11.000Z | 2022-03-26T01:53:47.000Z | doc/.src/book/src/approx1D.py | hplgit/fem-book | c23099715dc3cb72e7f4d37625e6f9614ee5fc4e | [
"MIT"
] | 9 | 2017-04-16T21:57:29.000Z | 2021-04-17T08:09:30.000Z | doc/.src/book/src/approx1D.py | hplgit/fem-book | c23099715dc3cb72e7f4d37625e6f9614ee5fc4e | [
"MIT"
] | 43 | 2016-03-11T19:33:14.000Z | 2022-03-05T00:21:57.000Z | """
Approximation of functions by linear combination of basis functions in
function spaces and the least squares method or the collocation method
for determining the coefficients.
"""
from __future__ import print_function
import sympy as sym
import numpy as np
import mpmath
import matplotlib.pyplot as plt
#import sci... | 36.005222 | 78 | 0.570631 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,901 | 0.355402 |
e73d28b97614c66ca738e1e4c737e90d85ce9b19 | 835 | py | Python | src/problems/cancel_1112/gen.py | Leomotors/stupid-problems | 801213b7646e39530e2fe652c95ec6cd887e7bd1 | [
"MIT"
] | null | null | null | src/problems/cancel_1112/gen.py | Leomotors/stupid-problems | 801213b7646e39530e2fe652c95ec6cd887e7bd1 | [
"MIT"
] | null | null | null | src/problems/cancel_1112/gen.py | Leomotors/stupid-problems | 801213b7646e39530e2fe652c95ec6cd887e7bd1 | [
"MIT"
] | null | null | null |
# * N <= 500, M <= 10000, max(p), max(a) <= 1e6
# * 10 คะแนน : N, max(p), max(a) <= 10, M <= 15
# * 20 คะแนน : N <= 20, M <= 100
# * 30 คะแนน : N <= 69, M <= 420
# * 50 คะแนน : ไม่มีเงื่อนไขเพิ่มเติม
def useGenerator(gen):
gen("s1", "sample1", 5, 10, 10, 10)
gen("s2", "sample2", 7, 10, 9, 9)
gen(1, "112 ... | 33.4 | 48 | 0.48982 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 445 | 0.476956 |
e7422355175454fcfb89f48ad2d00d9c5dd1fa0e | 2,532 | py | Python | dash_website/utils/controls.py | SamuelDiai/Dash-Website | e064e432f14a86de1b54cf31ab311997c5643129 | [
"MIT"
] | null | null | null | dash_website/utils/controls.py | SamuelDiai/Dash-Website | e064e432f14a86de1b54cf31ab311997c5643129 | [
"MIT"
] | null | null | null | dash_website/utils/controls.py | SamuelDiai/Dash-Website | e064e432f14a86de1b54cf31ab311997c5643129 | [
"MIT"
] | null | null | null | import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
def get_options_from_list(list_):
list_label_value = []
for value in list_:
list_label_value.append({"value": value, "label": value})
return list_label_value
def get_options_from_dict(d... | 25.836735 | 105 | 0.554502 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 0.051343 |
e745fb5c2bd82701b4b6fe87fdf23d2d1913eabb | 2,333 | py | Python | hedwig/test.py | Cool-tong/covid | 389c490e60f7b854369e0600b6dfc071baceaa7e | [
"Apache-2.0"
] | 15 | 2020-06-25T21:44:41.000Z | 2022-01-14T23:41:50.000Z | hedwig/test.py | Cool-tong/covid | 389c490e60f7b854369e0600b6dfc071baceaa7e | [
"Apache-2.0"
] | 9 | 2021-03-31T19:48:34.000Z | 2022-03-12T00:34:28.000Z | hedwig/test.py | Cool-tong/covid | 389c490e60f7b854369e0600b6dfc071baceaa7e | [
"Apache-2.0"
] | 8 | 2020-09-16T10:29:14.000Z | 2022-01-16T17:53:41.000Z | # from transformers import ReformerModel, ReformerTokenizer
# import torch
#
# tokenizer = ReformerTokenizer.from_pretrained('google/reformer-crime-and-punishment')
# model = ReformerModel.from_pretrained('google/reformer-crime-and-punishment')
#
# input_ids = torch.tensor(tokenizer.encode("Hello, my dog is cute", add... | 44.865385 | 123 | 0.753965 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,375 | 0.58937 |
e746b6586494198935ce54917af266b0ab3f32e9 | 7,091 | py | Python | nginx_parse_emit/utils.py | offscale/nginx-parse-emit | 29b020f62fe1bc8377f2c30689f4bb4c5777ec69 | [
"Apache-2.0",
"MIT"
] | null | null | null | nginx_parse_emit/utils.py | offscale/nginx-parse-emit | 29b020f62fe1bc8377f2c30689f4bb4c5777ec69 | [
"Apache-2.0",
"MIT"
] | null | null | null | nginx_parse_emit/utils.py | offscale/nginx-parse-emit | 29b020f62fe1bc8377f2c30689f4bb4c5777ec69 | [
"Apache-2.0",
"MIT"
] | null | null | null | from operator import itemgetter
from platform import python_version_tuple
from sys import version
if version[0] == "2":
from cStringIO import StringIO
else:
from functools import reduce
from io import StringIO
from copy import copy
from itertools import filterfalse
from os import remove, path
from strin... | 30.433476 | 103 | 0.608236 | 86 | 0.012128 | 0 | 0 | 0 | 0 | 0 | 0 | 1,365 | 0.192498 |
e7480e46acbddcd69f925328f54a3a8f35b1978c | 832 | py | Python | setup.py | JimBoonie/hydra | 63665090812e4e209c67d5dc0b84b5bb35a57ead | [
"MIT"
] | 28 | 2015-12-30T22:38:16.000Z | 2021-03-21T07:52:39.000Z | setup.py | JimBoonie/hydra | 63665090812e4e209c67d5dc0b84b5bb35a57ead | [
"MIT"
] | 2 | 2017-02-23T09:54:09.000Z | 2018-12-14T12:20:28.000Z | setup.py | JimBoonie/hydra | 63665090812e4e209c67d5dc0b84b5bb35a57ead | [
"MIT"
] | 7 | 2017-02-23T09:43:24.000Z | 2022-01-10T12:17:36.000Z | from setuptools import setup
from setuptools.command.install import install as _install
class install(_install):
def run(self):
_install.run(self)
setup(
cmdclass = { 'install' : install },
name = 'hydra',
version = '0.1',
author = 'tatsy',
author_email = 'tatsy.mail@gmail.com',
ur... | 25.212121 | 58 | 0.56851 | 70 | 0.084135 | 0 | 0 | 0 | 0 | 0 | 0 | 360 | 0.432692 |
e74a1d4b6667e28ee221b633c7ed252338e6e82b | 689 | py | Python | appmail/migrations/0003_emailtemplate_test_context.py | yunojuno/django-appmail | e665990a56e00b06469177d165cc14970b61971a | [
"MIT"
] | 7 | 2017-03-16T22:16:54.000Z | 2020-07-06T20:07:06.000Z | appmail/migrations/0003_emailtemplate_test_context.py | yunojuno/django-appmail | e665990a56e00b06469177d165cc14970b61971a | [
"MIT"
] | 13 | 2017-04-27T15:26:51.000Z | 2021-07-09T16:31:21.000Z | appmail/migrations/0003_emailtemplate_test_context.py | yunojuno/django-appmail | e665990a56e00b06469177d165cc14970b61971a | [
"MIT"
] | 3 | 2017-03-10T18:22:03.000Z | 2018-09-25T14:40:29.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10.6 on 2017-05-06 08:15
from __future__ import unicode_literals
from django.db import migrations
from ..compat import JSONField
class Migration(migrations.Migration):
dependencies = [("appmail", "0002_add_template_description")]
operations = [
migra... | 24.607143 | 85 | 0.552975 | 507 | 0.735849 | 0 | 0 | 0 | 0 | 0 | 0 | 213 | 0.309144 |
e74a548d5928286d5e89cff8efabd8323a997dc8 | 3,006 | py | Python | tests/skillsearch/clients.py | allenai/alexafsm | 0c2e8842ddbb4a34ac64a5139e7febee3b28889a | [
"Apache-2.0"
] | 108 | 2017-05-11T22:33:39.000Z | 2022-03-04T03:04:51.000Z | tests/skillsearch/clients.py | allenai/alexafsm | 0c2e8842ddbb4a34ac64a5139e7febee3b28889a | [
"Apache-2.0"
] | null | null | null | tests/skillsearch/clients.py | allenai/alexafsm | 0c2e8842ddbb4a34ac64a5139e7febee3b28889a | [
"Apache-2.0"
] | 17 | 2017-05-12T23:26:38.000Z | 2020-04-20T19:39:54.000Z | """Client that handles query to elasticsearch"""
import string
from typing import List
from elasticsearch_dsl import Search
from alexafsm.test_helpers import recordable as rec
from elasticsearch_dsl.response import Response
from tests.skillsearch.skill_settings import SkillSettings
from tests.skillsearch.skill impo... | 37.575 | 109 | 0.633733 | 0 | 0 | 0 | 0 | 726 | 0.241517 | 0 | 0 | 534 | 0.177645 |
e74bee176de16cba930d5ae5c1c4a6c4a4161b92 | 9,380 | py | Python | pypsych/schedule.py | janmtl/pypsych | 1c606342dbdb984bc06aa9fd26963f3ce0a378b1 | [
"BSD-3-Clause"
] | null | null | null | pypsych/schedule.py | janmtl/pypsych | 1c606342dbdb984bc06aa9fd26963f3ce0a378b1 | [
"BSD-3-Clause"
] | null | null | null | pypsych/schedule.py | janmtl/pypsych | 1c606342dbdb984bc06aa9fd26963f3ce0a378b1 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Includes the Schedule class, validation functions, and compilation functions
for compiling a schedule of files to process.
Methods:
compile: shortcut for validating the loaded configuration, then
performing the search, and _resolve functions
load: load ... | 38.921162 | 79 | 0.552452 | 7,918 | 0.844136 | 0 | 0 | 4,464 | 0.475906 | 0 | 0 | 3,427 | 0.365352 |
e74c20ff4559c50606dac276ec5df833419986bc | 3,160 | py | Python | dcorch/drivers/openstack/cinder_v2.py | starlingx-staging/stx-kingbird | 9869ad4640e76384fa14f031a59134cd439929a8 | [
"Apache-2.0"
] | 1 | 2018-08-24T19:48:03.000Z | 2018-08-24T19:48:03.000Z | dcorch/drivers/openstack/cinder_v2.py | kbujold/stx-distcloud | e82c7b43362bceb8d4ae9d121d023e42268204db | [
"Apache-2.0"
] | 3 | 2018-08-23T20:32:45.000Z | 2018-08-30T19:26:00.000Z | dcorch/drivers/openstack/cinder_v2.py | kbujold/stx-distcloud | e82c7b43362bceb8d4ae9d121d023e42268204db | [
"Apache-2.0"
] | 4 | 2018-08-21T18:09:12.000Z | 2018-08-28T15:47:12.000Z | # 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 writing, software
# distributed unde... | 35.505618 | 77 | 0.603797 | 2,395 | 0.757911 | 0 | 0 | 0 | 0 | 0 | 0 | 935 | 0.295886 |
e74d4d6162ae8c2a70fd86d11e2efc802d6df3be | 1,202 | py | Python | figthesis/figshape.py | Gattocrucco/sipmfilter | 74215d6c53b998808fc6c677b46030234d996bdf | [
"CC-BY-4.0",
"MIT"
] | null | null | null | figthesis/figshape.py | Gattocrucco/sipmfilter | 74215d6c53b998808fc6c677b46030234d996bdf | [
"CC-BY-4.0",
"MIT"
] | null | null | null | figthesis/figshape.py | Gattocrucco/sipmfilter | 74215d6c53b998808fc6c677b46030234d996bdf | [
"CC-BY-4.0",
"MIT"
] | null | null | null | import numpy as np
from matplotlib import pyplot as plt
import figlatex
import template
import afterpulse_tile21
styles = {
5.5: dict(color='#f55'),
7.5: dict(hatch='//////', facecolor='#0000'),
9.5: dict(edgecolor='black', facecolor='#0000'),
}
fig, ax = plt.subplots(num='figshape', clear=True, figsize=... | 24.04 | 107 | 0.62396 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 139 | 0.115641 |
e74daacb5f8aa03a88e92486990e7dd734003673 | 1,940 | py | Python | linchackathon/auth.py | YasserMahfoud/linchackathon | d0cdb7d72aa588847669830e14bb9baa308afc24 | [
"MIT"
] | null | null | null | linchackathon/auth.py | YasserMahfoud/linchackathon | d0cdb7d72aa588847669830e14bb9baa308afc24 | [
"MIT"
] | null | null | null | linchackathon/auth.py | YasserMahfoud/linchackathon | d0cdb7d72aa588847669830e14bb9baa308afc24 | [
"MIT"
] | 1 | 2022-02-28T09:25:47.000Z | 2022-02-28T09:25:47.000Z | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 13 11:08:56 2021
@author: yasse
"""
# =============================================================================
# Imports
# =============================================================================
import requests
from . import ipaddr as u
from .public import ge... | 25.526316 | 81 | 0.465464 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,411 | 0.72732 |
e74e18233e68e6e6e2b6b4650e8d71aa16535204 | 5,559 | py | Python | eFELunit/utils.py | appukuttan-shailesh/eFELunit | 055385254875249293da72c1daf2d489033cb9da | [
"BSD-3-Clause"
] | null | null | null | eFELunit/utils.py | appukuttan-shailesh/eFELunit | 055385254875249293da72c1daf2d489033cb9da | [
"BSD-3-Clause"
] | null | null | null | eFELunit/utils.py | appukuttan-shailesh/eFELunit | 055385254875249293da72c1daf2d489033cb9da | [
"BSD-3-Clause"
] | null | null | null | """
Module for loading BluePyOpt optimized model files
"""
import os
import sciunit
from neuronunit.capabilities import ReceivesSquareCurrent, ProducesMembranePotential, Runnable
from neuron import h
import neo
from quantities import ms
import zipfile
import json
import collections
class CellModel(sciunit.Model,
... | 40.282609 | 135 | 0.589674 | 5,273 | 0.948552 | 0 | 0 | 0 | 0 | 0 | 0 | 1,483 | 0.266775 |
e7505d6ec1c66fa5c31c1b68248657004784ebb2 | 5,401 | py | Python | invenio_ldapclient/views.py | galterlibrary/invenio-ldapclient | 48b24b5bf46fd40c22dce042f54eaab6b7d377c3 | [
"MIT"
] | 1 | 2018-12-25T23:18:35.000Z | 2018-12-25T23:18:35.000Z | invenio_ldapclient/views.py | galterlibrary/invenio-ldapclient | 48b24b5bf46fd40c22dce042f54eaab6b7d377c3 | [
"MIT"
] | 6 | 2018-12-12T17:15:11.000Z | 2020-01-22T14:00:07.000Z | invenio_ldapclient/views.py | galterlibrary/invenio-ldapclient | 48b24b5bf46fd40c22dce042f54eaab6b7d377c3 | [
"MIT"
] | null | null | null | """Invenio-LDAPClient login view."""
from __future__ import absolute_import, print_function
import uuid
from flask import Blueprint, after_this_request
from flask import current_app as app
from flask import flash, redirect, render_template, request
from flask_security import login_user
from invenio_accounts.models i... | 29.839779 | 91 | 0.672098 | 0 | 0 | 0 | 0 | 1,239 | 0.229402 | 0 | 0 | 1,260 | 0.23329 |
e750a7db318e1b1722b11d4663f54e8a2e8abb6a | 1,125 | py | Python | 10 - Using break/Des_068.py | o-Ian/Practice-Python | 1e4b2d0788e70006096a53a7cf038db3148ba4b7 | [
"MIT"
] | 4 | 2021-04-23T18:07:58.000Z | 2021-05-12T11:38:14.000Z | 10 - Using break/Des_068.py | o-Ian/Practice-Python | 1e4b2d0788e70006096a53a7cf038db3148ba4b7 | [
"MIT"
] | null | null | null | 10 - Using break/Des_068.py | o-Ian/Practice-Python | 1e4b2d0788e70006096a53a7cf038db3148ba4b7 | [
"MIT"
] | null | null | null | from random import randint
perder = ganhou = 0
print('\n=-=-=-=-TENTE GANHAR DE MIM NO PAR OU ÍMPAR!=-=-=-=-\n')
while True:
print('-=' * 15)
eu = int(input('Digite um número: '))
pc = randint(1, 100)
par_ganhou = impar_ganhou = 0
i_p = ' '
while i_p not in 'IP':
i_p = input('Você esco... | 31.25 | 113 | 0.533333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 524 | 0.458042 |
e7523010d534a1b9ddc9737a5e53cd84edd3fabe | 553 | py | Python | src/app/coursegrab/controllers/untrack_section_controller.py | cuappdev/coursegrab-backend | e69cfaf8bcabae788ebf81e18078f8eb604c79a7 | [
"MIT"
] | 1 | 2020-02-28T00:53:34.000Z | 2020-02-28T00:53:34.000Z | src/app/coursegrab/controllers/untrack_section_controller.py | cuappdev/coursegrab-backend | e69cfaf8bcabae788ebf81e18078f8eb604c79a7 | [
"MIT"
] | 31 | 2019-11-06T22:14:16.000Z | 2021-11-03T21:51:40.000Z | src/app/coursegrab/controllers/untrack_section_controller.py | cuappdev/coursegrab-backend | e69cfaf8bcabae788ebf81e18078f8eb604c79a7 | [
"MIT"
] | null | null | null | from . import *
class UntrackSectionController(AppDevController):
def get_path(self):
return "/sections/untrack/"
def get_methods(self):
return ["POST"]
@authorize_user
def content(self, **kwargs):
data = request.get_json()
user = kwargs.get("user")
catalog_nu... | 26.333333 | 65 | 0.643761 | 534 | 0.965642 | 0 | 0 | 367 | 0.663653 | 0 | 0 | 73 | 0.132007 |
e7524d0748239053472f74164e6004e070acbfe8 | 281 | py | Python | scripts/stop.py | J0ins08/aria2-python-script | 461c1e861893b6309726bb804d51f9e2fff0a1e8 | [
"MIT"
] | null | null | null | scripts/stop.py | J0ins08/aria2-python-script | 461c1e861893b6309726bb804d51f9e2fff0a1e8 | [
"MIT"
] | null | null | null | scripts/stop.py | J0ins08/aria2-python-script | 461c1e861893b6309726bb804d51f9e2fff0a1e8 | [
"MIT"
] | null | null | null | # -*- encoding: utf-8 -*-
#@File : stop.py
#@Time : 2021/12/23 16:21:37
#@Author : J0ins08
#@Software : Visual Studio Code
from aria2 import *
if __name__ == '__main__':
remove_aria2_file()
remove_download_file()
remove_torrent_file() | 23.416667 | 36 | 0.590747 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 155 | 0.551601 |
e7531c6aec53aa133b091d9c44add5e29edc53d4 | 446 | py | Python | rop1-sean_Pwn-2/hack.py | ss8651twtw/Pwn-CTF-writeups | 930a85169c2110594479cf66528b79e8ddae46a2 | [
"MIT"
] | 4 | 2021-08-01T07:53:26.000Z | 2021-09-08T08:50:09.000Z | rop1-sean_Pwn-2/hack.py | ss8651twtw/Pwn-CTF-writeups | 930a85169c2110594479cf66528b79e8ddae46a2 | [
"MIT"
] | null | null | null | rop1-sean_Pwn-2/hack.py | ss8651twtw/Pwn-CTF-writeups | 930a85169c2110594479cf66528b79e8ddae46a2 | [
"MIT"
] | 1 | 2022-03-22T10:13:53.000Z | 2022-03-22T10:13:53.000Z | from pwn import *
import time
context.arch = "amd64"
ip = "140.110.112.77"
port = 3122
r = remote(ip, port)
# r = process("./rop1")
data = 0x6ccd60
pop_rsi = 0x401637
pop_rax_rdx_rbx = 0x478616
pop_rdi = 0x401516
syscall = 0x4672b5
leave = 0x4009e4
r.sendline(flat(0xdeadbeef, pop_rax_rdx_rbx, 0x3b, 0, 0, pop_rdi, ... | 18.583333 | 121 | 0.681614 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66 | 0.147982 |
e7541e90aae6724fc21be662cfca2ab9529171ad | 3,548 | py | Python | jikanvision/FaceMeshModule.py | JikanDev/jikanvision | 09cd4ecdbfe6423cdf2c6f4ae064fcafae576eb0 | [
"Apache-2.0"
] | 1 | 2021-09-02T09:03:53.000Z | 2021-09-02T09:03:53.000Z | jikanvision/FaceMeshModule.py | JikanDev/jikanvision | 09cd4ecdbfe6423cdf2c6f4ae064fcafae576eb0 | [
"Apache-2.0"
] | 1 | 2021-10-21T14:50:06.000Z | 2021-10-21T14:50:06.000Z | jikanvision/FaceMeshModule.py | JikanDev/jikanvision | 09cd4ecdbfe6423cdf2c6f4ae064fcafae576eb0 | [
"Apache-2.0"
] | null | null | null | """
Face Mesh Module
By : JikanDev
Website : https://jikandev.xyz/
"""
import cv2
import mediapipe as mp
class FaceMeshDetector():
"""
Find 468 Landmarks using the mediapipe library. Exports the landmarks in pixel format.
"""
def __init__(self, mode=False, maxFaces=1, refine_lm=False, m... | 35.48 | 112 | 0.592728 | 2,600 | 0.732807 | 0 | 0 | 0 | 0 | 0 | 0 | 1,330 | 0.374859 |
e7556f82e722747db689856c467461b5664c4d41 | 65,366 | py | Python | avi/heat/resources/pool.py | itlinux/avi-heat | 551adc130f651e1a52dcff0afc01cfa6b29a87f0 | [
"Apache-2.0"
] | 2 | 2016-08-09T21:06:52.000Z | 2016-08-18T21:34:11.000Z | avi/heat/resources/pool.py | itlinux/avi-heat | 551adc130f651e1a52dcff0afc01cfa6b29a87f0 | [
"Apache-2.0"
] | 10 | 2016-08-03T00:07:51.000Z | 2018-10-30T19:00:38.000Z | avi/heat/resources/pool.py | itlinux/avi-heat | 551adc130f651e1a52dcff0afc01cfa6b29a87f0 | [
"Apache-2.0"
] | 10 | 2016-06-13T20:17:19.000Z | 2020-12-21T11:46:59.000Z | # GENERATED FILE - DO NOT EDIT THIS FILE UNLESS YOU ARE A WIZZARD
#pylint: skip-file
from heat.engine import properties
from heat.engine import constraints
from heat.engine import attributes
from heat.common.i18n import _
from avi.heat.avi_resource import AviResource
from avi.heat.avi_resource import AviNestedResource... | 37.783815 | 486 | 0.669813 | 64,570 | 0.987822 | 0 | 0 | 0 | 0 | 0 | 0 | 26,460 | 0.404798 |
e75664bd27754a66bb2b335b17ad15fd80bbf4ca | 1,041 | py | Python | app/service/account_title_service.py | JunFuruya/Ratsnake | ff7fe7f6b56663978d2ee2d94df5d88786a0eaa7 | [
"MIT"
] | null | null | null | app/service/account_title_service.py | JunFuruya/Ratsnake | ff7fe7f6b56663978d2ee2d94df5d88786a0eaa7 | [
"MIT"
] | 5 | 2018-05-17T04:03:39.000Z | 2021-09-08T01:03:17.000Z | app/service/account_title_service.py | JunFuruya/Hideout | ff7fe7f6b56663978d2ee2d94df5d88786a0eaa7 | [
"MIT"
] | null | null | null | # -*- coding: UTF-8 -*-
from app.service.base_service import BaseService
from app.repository.account_title_repository import AccountTitleRepository
class AccountTitleService(BaseService):
def __init__(self):
self.__reposiroty = AccountTitleRepository()
pass
def getList(self, user_id, limit, o... | 41.64 | 121 | 0.777137 | 890 | 0.854947 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0.022094 |
e756f3d909ed9cf27d6e6754f6228111304c2edd | 6,728 | py | Python | cellpack/mgl_tools/mglutil/math/kinematics.py | mesoscope/cellpack | ec6b736fc706c1fae16392befa814b5337a3a692 | [
"MIT"
] | null | null | null | cellpack/mgl_tools/mglutil/math/kinematics.py | mesoscope/cellpack | ec6b736fc706c1fae16392befa814b5337a3a692 | [
"MIT"
] | 21 | 2021-10-02T00:07:05.000Z | 2022-03-30T00:02:10.000Z | cellpack/mgl_tools/mglutil/math/kinematics.py | mesoscope/cellpack | ec6b736fc706c1fae16392befa814b5337a3a692 | [
"MIT"
] | null | null | null | ## Automatically adapted for numpy.oldnumeric Jul 23, 2007 by
#
# Last modified on Mon Oct 15 15:33:49 PDT 2001 by lindy
#
# $Header: /opt/cvs/python/packages/share1.5/mglutil/math/kinematics.py,v 1.16 2007/07/24 17:30:40 vareille Exp $
#
"""kinematics.py - kinematic manipulation of chains of points
All transformati... | 32.191388 | 113 | 0.522889 | 6,032 | 0.896552 | 0 | 0 | 0 | 0 | 0 | 0 | 1,915 | 0.284631 |
e7584bf56075da23dbb46430a6950a9f3d4405c0 | 2,178 | py | Python | ucsc_genomes_downloader/utils/expand_bed_regions.py | LucaCappelletti94/ucsc_genomes_downloader | fdef5fae76a78606279aa3e49e0b009a1b34a436 | [
"MIT"
] | 5 | 2020-01-30T15:03:40.000Z | 2022-01-25T18:44:16.000Z | ucsc_genomes_downloader/utils/expand_bed_regions.py | LucaCappelletti94/ucsc_genomes_downloader | fdef5fae76a78606279aa3e49e0b009a1b34a436 | [
"MIT"
] | 2 | 2020-01-04T15:22:16.000Z | 2020-07-16T20:02:42.000Z | ucsc_genomes_downloader/utils/expand_bed_regions.py | LucaCappelletti94/ucsc_genomes_downloader | fdef5fae76a78606279aa3e49e0b009a1b34a436 | [
"MIT"
] | 3 | 2019-12-29T15:19:22.000Z | 2021-03-27T03:05:51.000Z | import pandas as pd
import numpy as np
__all__ = ["expand_bed_regions"]
def expand_bed_regions(bed: pd.DataFrame, window_size: int, alignment: str = "center") -> pd.DataFrame:
"""Return pandas dataframe setting regions to given window size considering given alignment.
Parameters
-----------------------
... | 36.915254 | 103 | 0.649219 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,441 | 0.661616 |
e7593ec909d2ec472ea74ef88d48fb12c9f615bd | 2,972 | py | Python | examples/mri/non_cartesian_reconstruction.py | LElgueddari/pisap | ddd9f9f02dcd629b5615fa571ac7795c2d5e9727 | [
"CECILL-B"
] | null | null | null | examples/mri/non_cartesian_reconstruction.py | LElgueddari/pisap | ddd9f9f02dcd629b5615fa571ac7795c2d5e9727 | [
"CECILL-B"
] | null | null | null | examples/mri/non_cartesian_reconstruction.py | LElgueddari/pisap | ddd9f9f02dcd629b5615fa571ac7795c2d5e9727 | [
"CECILL-B"
] | 1 | 2018-12-04T14:32:15.000Z | 2018-12-04T14:32:15.000Z | """
Neuroimaging non-cartesian reconstruction
=========================================
Author: Chaithya G R
In this tutorial we will reconstruct an MRI image from non-cartesian kspace
measurements.
Import neuroimaging data
------------------------
We use the toy datasets available in pysap, more specifically a 2D ... | 30.326531 | 78 | 0.694482 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,343 | 0.451884 |
e7596a25709bd7aeb8d58fbb9eb155b5582963d5 | 3,996 | py | Python | Homeautomation/Alarmpi/get_weather_yahoo.py | EtechProjects/Curtains-and-Blinds-Tests | 7bfacf50ee7a4b951337e60f0fa288fbe59762e2 | [
"Apache-2.0"
] | null | null | null | Homeautomation/Alarmpi/get_weather_yahoo.py | EtechProjects/Curtains-and-Blinds-Tests | 7bfacf50ee7a4b951337e60f0fa288fbe59762e2 | [
"Apache-2.0"
] | null | null | null | Homeautomation/Alarmpi/get_weather_yahoo.py | EtechProjects/Curtains-and-Blinds-Tests | 7bfacf50ee7a4b951337e60f0fa288fbe59762e2 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import urllib
import urllib2
import json
import decimal
import time
from apcontent import alarmpi_content
class weather_yahoo(alarmpi_content):
def build(self):
location = self.sconfig['location']
if self.sconfig['metric'] == str(1):
metric = '%20and%2... | 37.698113 | 191 | 0.548048 | 3,840 | 0.960961 | 0 | 0 | 0 | 0 | 0 | 0 | 1,310 | 0.327828 |
e75b23de02a67ea7c8d05abe2bf178f7d08eb2d7 | 1,857 | py | Python | triassic_scoring.py | SouthwestCCDC/2019-pcc | a2a38cfd0eb714fc9b2c0e69484171306eca67e0 | [
"Unlicense"
] | 1 | 2022-01-14T18:04:20.000Z | 2022-01-14T18:04:20.000Z | triassic_scoring.py | wrharding/triassic_shell | 2d13f8299c01a050d230034d2d37e0e3af8e1a02 | [
"Unlicense"
] | null | null | null | triassic_scoring.py | wrharding/triassic_shell | 2d13f8299c01a050d230034d2d37e0e3af8e1a02 | [
"Unlicense"
] | 1 | 2021-01-22T23:03:29.000Z | 2021-01-22T23:03:29.000Z | import sys
import logging
import socket
import argparse
import json
import os
import data_model
from flask import Flask
app = Flask(__name__)
app.secret_key = 'NpaguVKgv<;f;i(:T>3tn~dsOue5Vy)'
@app.route('/degrade/<int:index>/')
def degrade_segment(index):
if index >= 97 or index < 0:
return 'bad'
e... | 26.913043 | 95 | 0.645665 | 0 | 0 | 0 | 0 | 1,129 | 0.60797 | 0 | 0 | 368 | 0.198169 |
e7610363e0afa1615d49f445e3e975b339f2990d | 592 | py | Python | day26.py | impractical101/LeetCode-30--June | 5420685a151e5561f54e7f1a0b699015050f75c2 | [
"MIT"
] | null | null | null | day26.py | impractical101/LeetCode-30--June | 5420685a151e5561f54e7f1a0b699015050f75c2 | [
"MIT"
] | null | null | null | day26.py | impractical101/LeetCode-30--June | 5420685a151e5561f54e7f1a0b699015050f75c2 | [
"MIT"
] | null | null | null | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
#Submitted by thr3sh0ld
class Solution:
def solve(self,root, curr):
if root == None:
return 0
cu... | 28.190476 | 73 | 0.572635 | 361 | 0.609797 | 0 | 0 | 0 | 0 | 0 | 0 | 209 | 0.353041 |
e761eb72917ebd1c05f7e0b4d31c558fc821a540 | 511 | py | Python | extra/docker/django/mailinglist/factories.py | rlaneyjr/project_pawz | 27f316ef35968ed1319ec0585a050ebed795763a | [
"MIT"
] | null | null | null | extra/docker/django/mailinglist/factories.py | rlaneyjr/project_pawz | 27f316ef35968ed1319ec0585a050ebed795763a | [
"MIT"
] | 13 | 2020-02-12T00:12:52.000Z | 2022-02-12T09:42:36.000Z | extra/docker/django/mailinglist/factories.py | rlaneyjr/project_pawz | 27f316ef35968ed1319ec0585a050ebed795763a | [
"MIT"
] | null | null | null | from unittest.mock import patch
import factory
from mailinglist.models import Subscriber
class SubscriberFactory(factory.DjangoModelFactory):
email = factory.Sequence(lambda n: 'foo.%d@example.com' % n)
class Meta:
model = Subscriber
@classmethod
def _create(cls, model_class, *args, **kwar... | 25.55 | 76 | 0.690802 | 416 | 0.81409 | 0 | 0 | 249 | 0.48728 | 0 | 0 | 86 | 0.168297 |
e7623781c52321968e53976d519675e457ceed8b | 486 | py | Python | wildlifelicensing/apps/main/migrations/0006_auto_20160801_1622.py | jawaidm/wildlifelicensing | 87e8e9ab163e0d7bbb0c7a654a13ce8a4d8fcf82 | [
"Apache-2.0"
] | null | null | null | wildlifelicensing/apps/main/migrations/0006_auto_20160801_1622.py | jawaidm/wildlifelicensing | 87e8e9ab163e0d7bbb0c7a654a13ce8a4d8fcf82 | [
"Apache-2.0"
] | 11 | 2019-03-19T02:03:11.000Z | 2019-05-31T07:20:59.000Z | wildlifelicensing/apps/main/migrations/0006_auto_20160801_1622.py | jawaidm/wildlifelicensing | 87e8e9ab163e0d7bbb0c7a654a13ce8a4d8fcf82 | [
"Apache-2.0"
] | 2 | 2020-08-10T10:17:10.000Z | 2021-10-31T23:20:53.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2016-08-01 08:22
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('wl_main', '0005_wildlifelicence_locations'),
]
operations = [
migrations.Alt... | 23.142857 | 63 | 0.63786 | 329 | 0.676955 | 0 | 0 | 0 | 0 | 0 | 0 | 143 | 0.294239 |
e7632eac9bb25990fae2d561c6c167a8a522a509 | 5,565 | py | Python | plugin.program.super.favourites/player.py | TheWardoctor/wardoctors-repo | 893f646d9e27251ffc00ca5f918e4eb859a5c8f0 | [
"Apache-2.0"
] | 1 | 2019-03-05T09:38:10.000Z | 2019-03-05T09:38:10.000Z | plugin.program.super.favourites/player.py | TheWardoctor/wardoctors-repo | 893f646d9e27251ffc00ca5f918e4eb859a5c8f0 | [
"Apache-2.0"
] | null | null | null | plugin.program.super.favourites/player.py | TheWardoctor/wardoctors-repo | 893f646d9e27251ffc00ca5f918e4eb859a5c8f0 | [
"Apache-2.0"
] | 1 | 2021-11-05T20:48:09.000Z | 2021-11-05T20:48:09.000Z | #
# Copyright (C) 2014-
# Sean Poyser (seanpoyser@gmail.com)
#
# This Program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2, or (at your option)
# any later version.
#
# Thi... | 27.413793 | 115 | 0.611321 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,863 | 0.334771 |