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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
79ee257a6e81aff9dbeef481d3f2ffa679f4e55f | 261 | py | Python | reamber/bms/lists/notes/BMSNoteList.py | Bestfast/reamberPy | 91b76ca6adf11fbe8b7cee7c186481776a4d7aaa | [
"MIT"
] | null | null | null | reamber/bms/lists/notes/BMSNoteList.py | Bestfast/reamberPy | 91b76ca6adf11fbe8b7cee7c186481776a4d7aaa | [
"MIT"
] | null | null | null | reamber/bms/lists/notes/BMSNoteList.py | Bestfast/reamberPy | 91b76ca6adf11fbe8b7cee7c186481776a4d7aaa | [
"MIT"
] | null | null | null | from abc import ABC
from typing import List, Type
from reamber.base.lists.notes.NoteList import NoteList
class BMSNoteList(NoteList, ABC):
def data(self) -> List[Type]: pass
def samples(self) -> List[float]:
return self.attribute('sample')
| 20.076923 | 54 | 0.708812 | 151 | 0.578544 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0.030651 |
79f09ed1e6c670a4cc53df338ad3c26a6ed400c3 | 25,785 | py | Python | cyberweb/controllers/gsicreds.py | sumukh210991/Cyberweb | 297bd54c9e223d38818b802087055e397c403f1c | [
"Apache-2.0"
] | null | null | null | cyberweb/controllers/gsicreds.py | sumukh210991/Cyberweb | 297bd54c9e223d38818b802087055e397c403f1c | [
"Apache-2.0"
] | null | null | null | cyberweb/controllers/gsicreds.py | sumukh210991/Cyberweb | 297bd54c9e223d38818b802087055e397c403f1c | [
"Apache-2.0"
] | null | null | null | import os
import sys
import re
import json
import logging
###from pylons import request, response, session, app_globals, tmpl_context, url as c, config
from pylons import request, response, session, app_globals, tmpl_context as c, config, url
from pylons.controllers.util import abort, redirect
from pylons.decorators ... | 46.967213 | 160 | 0.542408 | 24,596 | 0.953888 | 0 | 0 | 69 | 0.002676 | 0 | 0 | 10,088 | 0.391235 |
79f1612b542eb9d1c94aaf73dc2f5954230da328 | 5,305 | py | Python | taattack/utils.py | linerxliner/ValCAT | e62985c6c64f6415bb2bb4716bd02d9686badd47 | [
"MIT"
] | null | null | null | taattack/utils.py | linerxliner/ValCAT | e62985c6c64f6415bb2bb4716bd02d9686badd47 | [
"MIT"
] | null | null | null | taattack/utils.py | linerxliner/ValCAT | e62985c6c64f6415bb2bb4716bd02d9686badd47 | [
"MIT"
] | null | null | null | import flair
import numpy as np
import spacy
import tensorflow_hub as hub
import torch
from flair.data import Sentence
from flair.models import SequenceTagger
from nltk.tokenize.treebank import TreebankWordDetokenizer
from sklearn.metrics.pairwise import cosine_similarity
from string import punctuation
from transformer... | 32.746914 | 112 | 0.684826 | 3,163 | 0.59623 | 0 | 0 | 2,768 | 0.521772 | 0 | 0 | 554 | 0.10443 |
79f1aa731dd46a3731e4a9c3f27085c9eb89008f | 765 | py | Python | solutions/57.py | pacokwon/leetcode | 37c943d371c106d1e6f24e065700e5edd1c3f9f9 | [
"MIT"
] | 2 | 2022-01-18T08:57:13.000Z | 2022-01-18T15:49:06.000Z | solutions/57.py | pacokwon/leetcode | 37c943d371c106d1e6f24e065700e5edd1c3f9f9 | [
"MIT"
] | null | null | null | solutions/57.py | pacokwon/leetcode | 37c943d371c106d1e6f24e065700e5edd1c3f9f9 | [
"MIT"
] | null | null | null | # Insert Interval
class Solution:
def insert(self, intervals, newInterval):
ans = []
[nst, nen] = newInterval
for index, [st, en] in enumerate(intervals):
if en < nst:
ans.append(intervals[index])
elif nen < st:
# can return now
... | 26.37931 | 52 | 0.491503 | 519 | 0.678431 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0.056209 |
79f1af18baf4d6560c556e9a2520a03a8a86dced | 25,595 | py | Python | cyvn/trader/app/ctaStrategy/strategy/strategyBollingerBot01.py | mumuwoyou/pytrader | 6b94e0c8ecbc3ef238cf31715acf8474b9d26b4a | [
"MIT"
] | 4 | 2019-03-14T05:30:59.000Z | 2021-11-21T20:05:22.000Z | cyvn/trader/app/ctaStrategy/strategy/strategyBollingerBot01.py | mumuwoyou/pytrader | 6b94e0c8ecbc3ef238cf31715acf8474b9d26b4a | [
"MIT"
] | null | null | null | cyvn/trader/app/ctaStrategy/strategy/strategyBollingerBot01.py | mumuwoyou/pytrader | 6b94e0c8ecbc3ef238cf31715acf8474b9d26b4a | [
"MIT"
] | 4 | 2019-02-14T14:30:46.000Z | 2021-01-05T09:46:19.000Z | # encoding: UTF-8
""""
基于布林带的交易策略
观察周期：1min
策略周期：5min
策略逻辑：
1. 信号：突破上轨、下轨
2. 过滤：均线多头、空头排列
3. 出场：分级止盈；固定止损
"""
import talib
import numpy as np
from cyvn.trader.vtObject import VtBarData
from cyvn.trader.vtConstant import EMPTY_STRING
from cyvn.trader.app.ctaStrategy.ctaTemplate import CtaTemplate, BarGenerator, Arr... | 44.513043 | 149 | 0.477789 | 23,975 | 0.877659 | 0 | 0 | 0 | 0 | 0 | 0 | 14,309 | 0.523813 |
79f212ed18232d9a20e96553e02496b414e7481c | 4,577 | py | Python | cabu/drivers.py | thylong/cabu | b883293f35d22443de1ba8129b2efd1c346c7e61 | [
"BSD-3-Clause"
] | 16 | 2016-02-05T22:49:16.000Z | 2020-03-20T13:28:05.000Z | cabu/drivers.py | thylong/cabu | b883293f35d22443de1ba8129b2efd1c346c7e61 | [
"BSD-3-Clause"
] | null | null | null | cabu/drivers.py | thylong/cabu | b883293f35d22443de1ba8129b2efd1c346c7e61 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import re
from selenium import webdriver
from xvfbwrapper import Xvfb
from cabu.exceptions import DriverException
from cabu.utils.headers import Headers
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
from selenium import webdriver
try:
from urllib.... | 27.908537 | 91 | 0.674022 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,022 | 0.441774 |
79f2f4f6a2d2f8e60e91d2acbe593d63a614519c | 3,256 | py | Python | player.py | Muhammad-Saad-1/Space-Assault | 3c71128905cc0f9d7adc9a48393e7ab57b09f19e | [
"MIT"
] | null | null | null | player.py | Muhammad-Saad-1/Space-Assault | 3c71128905cc0f9d7adc9a48393e7ab57b09f19e | [
"MIT"
] | null | null | null | player.py | Muhammad-Saad-1/Space-Assault | 3c71128905cc0f9d7adc9a48393e7ab57b09f19e | [
"MIT"
] | null | null | null | import pygame as pg
display = pg.display.set_mode((900,600))
clock = pg.time.Clock()
jump = 10
step = 0
img = 0
left = [pg.image.load('images/character/l1.png'),pg.image.load('images/character/l2.png'),pg.image.load('images/character/l3.png'),pg.image.load('images/character/l4.png'),pg.image.load('images/character/l5.p... | 35.010753 | 337 | 0.601658 | 412 | 0.126536 | 0 | 0 | 0 | 0 | 0 | 0 | 733 | 0.225123 |
79f5d77b9f83d003e02c37ef124000f10f0cba55 | 1,721 | py | Python | pi_cam.py | beepscore/pi_cam | 33b2eeacf4261e162f366d0ba5e75ebfadbc8d7a | [
"MIT"
] | null | null | null | pi_cam.py | beepscore/pi_cam | 33b2eeacf4261e162f366d0ba5e75ebfadbc8d7a | [
"MIT"
] | null | null | null | pi_cam.py | beepscore/pi_cam | 33b2eeacf4261e162f366d0ba5e75ebfadbc8d7a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import picamera
import file_utils
import os
class PiCam:
"""
Uses Raspberry Pi camera.
http://picamera.readthedocs.org/en/release-1.9/api.html
"""
def __init__(self):
self.camera = picamera.PiCamera()
""" PiCamera properties default values
camera.... | 30.732143 | 88 | 0.635096 | 1,650 | 0.958745 | 0 | 0 | 0 | 0 | 0 | 0 | 1,203 | 0.699012 |
79f61a5d75644c8b4cf9fd950bb95e70f2f7c3a4 | 176 | py | Python | configs/flownet/flownets_8x1_slong_flyingchairs_384x448.py | hologerry/mmflow | 40caf064851bd95317424e31cc137c0007a2bece | [
"Apache-2.0"
] | 481 | 2021-11-16T07:04:23.000Z | 2022-03-31T22:21:21.000Z | configs/flownet/flownets_8x1_slong_flyingchairs_384x448.py | hologerry/mmflow | 40caf064851bd95317424e31cc137c0007a2bece | [
"Apache-2.0"
] | 72 | 2021-11-16T12:25:55.000Z | 2022-03-28T13:10:45.000Z | configs/flownet/flownets_8x1_slong_flyingchairs_384x448.py | hologerry/mmflow | 40caf064851bd95317424e31cc137c0007a2bece | [
"Apache-2.0"
] | 48 | 2021-11-16T06:48:46.000Z | 2022-03-30T12:46:40.000Z | _base_ = [
'../_base_/models/flownets.py',
'../_base_/datasets/flyingchairs_384x448.py',
'../_base_/schedules/schedule_s_long.py', '../_base_/default_runtime.py'
]
| 29.333333 | 76 | 0.676136 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 144 | 0.818182 |
79f79e5f95dc0076b2de1960b25234f4a6fcedce | 559 | py | Python | CalibTracker/SiStripCommon/test/test_shallowRechitClustersProducer_cfg.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | CalibTracker/SiStripCommon/test/test_shallowRechitClustersProducer_cfg.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | CalibTracker/SiStripCommon/test/test_shallowRechitClustersProducer_cfg.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | from CalibTracker.SiStripCommon.shallowTree_test_template import *
process.TFileService.fileName = 'test_shallowRechitClustersProducer.root'
process.load('RecoTracker.TrackProducer.TrackRefitters_cff')
process.load('CalibTracker.SiStripCommon.ShallowRechitClustersProducer_cfi')
process.testTree = cms.EDAnalyzer(
"S... | 31.055556 | 76 | 0.781753 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 204 | 0.364937 |
79fcc9de775f5e6d9c7b155ff6baf8f84042ddd0 | 10,468 | py | Python | easistrain/EDD/fitEDD.py | EASI-STRESS/easistrain | 86192d1c4135875daec8e4e4abcb67e372f86efb | [
"MIT"
] | null | null | null | easistrain/EDD/fitEDD.py | EASI-STRESS/easistrain | 86192d1c4135875daec8e4e4abcb67e372f86efb | [
"MIT"
] | 11 | 2021-11-10T08:36:22.000Z | 2022-03-21T08:31:17.000Z | easistrain/EDD/fitEDD.py | EASI-STRESS/easistrain | 86192d1c4135875daec8e4e4abcb67e372f86efb | [
"MIT"
] | null | null | null | from typing import Sequence
import numpy as np
import h5py
from easistrain.EDD.io import (
create_info_group,
peak_dataset_data,
save_fit_data,
)
from easistrain.EDD.utils import fit_detector_data, run_from_cli
def fitEDD(
fileRead: str,
fileSave: str,
sample: str,
dataset: str,
scanNu... | 39.353383 | 122 | 0.579862 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,509 | 0.239683 |
79fed91a69796e9dd746aca3006eba9ad9ef6ac5 | 2,082 | py | Python | ex16.py | kaitlinahrens/learn-python-the-hard-way | 0d376782779b7b3d6fb43215b145ed7f80359225 | [
"Apache-2.0"
] | 1 | 2015-05-29T21:51:37.000Z | 2015-05-29T21:51:37.000Z | ex16.py | kaitlinahrens/learn-python-the-hard-way | 0d376782779b7b3d6fb43215b145ed7f80359225 | [
"Apache-2.0"
] | 1 | 2015-06-01T15:46:42.000Z | 2015-06-01T15:46:42.000Z | ex16.py | kaitlinahrens/learn-python-the-hard-way | 0d376782779b7b3d6fb43215b145ed7f80359225 | [
"Apache-2.0"
] | 1 | 2018-11-05T23:10:40.000Z | 2018-11-05T23:10:40.000Z | from sys import argv
script, filename = argv
print "We are going to erase %r." % filename
print "If you don't want that, hit CTRL-C (^C)."
print "If you do want that, hit RETURN."
raw_input("?")
print "Opening the file..."
target = open(filename, 'w')
print "Truncating the file. Goodbye!"
target.truncate()
print ... | 29.323944 | 119 | 0.690202 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,687 | 0.810279 |
79fef4a09e4a04c87e9e0cbe5fb5877f2eda72c8 | 408 | py | Python | apps/user/migrations/0002_user_verify_code.py | dy1zan/softwarecapstone | c121a2b2d43b72aac19b75c31519711c0ace9c02 | [
"MIT"
] | null | null | null | apps/user/migrations/0002_user_verify_code.py | dy1zan/softwarecapstone | c121a2b2d43b72aac19b75c31519711c0ace9c02 | [
"MIT"
] | 16 | 2018-11-10T21:46:40.000Z | 2018-11-11T15:08:36.000Z | apps/user/migrations/0002_user_verify_code.py | dy1zan/softwarecapstone | c121a2b2d43b72aac19b75c31519711c0ace9c02 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.6 on 2018-11-01 14:26
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('user', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='user',
name='verify_code',
fie... | 20.4 | 49 | 0.583333 | 315 | 0.772059 | 0 | 0 | 0 | 0 | 0 | 0 | 86 | 0.210784 |
79ff61229ec05e724a4cf127b02b53f7784410b1 | 599 | py | Python | filler/tests/plain_classes/test_teams_data.py | PeterStuck/teacher-app | e71c5b69019450a9ac8694fb461d343ce33e1b35 | [
"CC0-1.0"
] | null | null | null | filler/tests/plain_classes/test_teams_data.py | PeterStuck/teacher-app | e71c5b69019450a9ac8694fb461d343ce33e1b35 | [
"CC0-1.0"
] | null | null | null | filler/tests/plain_classes/test_teams_data.py | PeterStuck/teacher-app | e71c5b69019450a9ac8694fb461d343ce33e1b35 | [
"CC0-1.0"
] | null | null | null | from django.test import TestCase
from filler.plain_classes.teams_data import TeamsData
class TestTeamsData(TestCase):
def test_participants_none(self):
with self.assertRaises(AssertionError):
TeamsData(participants=None, actions=['Action'], dates=['Date'])
def test_actions_none(self):
... | 31.526316 | 76 | 0.69783 | 508 | 0.84808 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0.066778 |
03004212ee99b61faeb0548d5a85b4b203430ddc | 2,784 | py | Python | support_functions.py | yellingviv/dungeons_on_demand | ced5d6b1b0c12ad8e22f7fac1cfaeecc82a821bb | [
"OML"
] | null | null | null | support_functions.py | yellingviv/dungeons_on_demand | ced5d6b1b0c12ad8e22f7fac1cfaeecc82a821bb | [
"OML"
] | null | null | null | support_functions.py | yellingviv/dungeons_on_demand | ced5d6b1b0c12ad8e22f7fac1cfaeecc82a821bb | [
"OML"
] | 1 | 2020-04-18T16:47:57.000Z | 2020-04-18T16:47:57.000Z | from dungeon_model import Monsters, Players
import re
import math
def initiative_sort(init_order):
"""sorts all the characters for a given combat by initiative"""
print("passed into sort function: ", init_order)
for i in range(len(init_order)):
check = init_order[i]
print("the check is: ",... | 31.636364 | 67 | 0.530532 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 500 | 0.179598 |
03007634c85b96a08566af89f356d770fc155ed9 | 2,306 | py | Python | experiments/architectures/PAE_network.py | Butters-cloud/denoising-normalizing-flow | 12d56a0d069e10a744acabf5e78fdbfba8df54ee | [
"MIT"
] | 12 | 2021-11-18T15:01:17.000Z | 2022-02-22T16:17:42.000Z | experiments/architectures/PAE_network.py | Butters-cloud/denoising-normalizing-flow | 12d56a0d069e10a744acabf5e78fdbfba8df54ee | [
"MIT"
] | 2 | 2022-01-22T00:41:13.000Z | 2022-02-01T15:41:42.000Z | experiments/architectures/PAE_network.py | Butters-cloud/denoising-normalizing-flow | 12d56a0d069e10a744acabf5e78fdbfba8df54ee | [
"MIT"
] | 1 | 2022-01-26T22:44:07.000Z | 2022-01-26T22:44:07.000Z | def infoGAN_encoder(params,is_training):
is_training = tf.constant(is_training, dtype=tf.bool)
def encoder(x):
with tf.variable_scope('model/encoder',['x'], reuse=tf.AUTO_REUSE):
net = lrelu(conv2d(x, 64, 4, 4, 2, 2, name='conv1', use_sn=True))
net = conv2d(net, 128, 4, 4, 2... | 42.703704 | 196 | 0.602342 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 407 | 0.176496 |
03018f2878f299da32e5fb359237991d538d5f69 | 288 | py | Python | services/web/project/adminsettings.py | pwdel/srcflask | 71c91cc9edb2a5e3aa08dbdd819e05feb84175f2 | [
"BSD-Source-Code"
] | null | null | null | services/web/project/adminsettings.py | pwdel/srcflask | 71c91cc9edb2a5e3aa08dbdd819e05feb84175f2 | [
"BSD-Source-Code"
] | null | null | null | services/web/project/adminsettings.py | pwdel/srcflask | 71c91cc9edb2a5e3aa08dbdd819e05feb84175f2 | [
"BSD-Source-Code"
] | null | null | null | # administrative username and password for development
ADMIN_USERNAME = 'admin'
ADMIN_PASSWORD = 'password'
ADMIN_TYPE = 'admin'
# for production
# ADMIN_USERNAME = 'environ.get('ADMIN_USERNAME')
# ADMIN_PASSWORD = 'environ.get('ADMIN_PASSWORD')
# ADMIN_TYPE = 'environ.get('ADMIN_TYPE')
| 32 | 54 | 0.770833 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 233 | 0.809028 |
0301c782c51b1c6595901ee0b2e38930f8a7ecd2 | 2,344 | py | Python | agents/a2c.py | TomMakkink/transformers-for-rl | 9d025f92611e957004030af9ef05a07e320856a7 | [
"MIT"
] | 1 | 2022-03-09T20:44:27.000Z | 2022-03-09T20:44:27.000Z | agents/a2c.py | TomMakkink/transformers-for-rl | 9d025f92611e957004030af9ef05a07e320856a7 | [
"MIT"
] | null | null | null | agents/a2c.py | TomMakkink/transformers-for-rl | 9d025f92611e957004030af9ef05a07e320856a7 | [
"MIT"
] | null | null | null | from agents.agent import Agent
from models.actor_critic_mlp import ActorCriticMLP
import numpy as np
import torch
import torch.optim as optim
from utils import plot_grad_flow
class A2C(Agent):
def __init__(
self,
state_size,
action_size,
hidden_size,
memory,
lr,
... | 27.904762 | 83 | 0.58959 | 2,166 | 0.924061 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 0.019198 |
03026b2e47c7dd4c6d92ff2379d10e3b1de12161 | 329 | py | Python | gan_train_parameters.py | Amitdedhia6/DrugDiscovery | c70dec96cee4d0d643a8b9de30530b6871fdf05e | [
"Apache-2.0"
] | null | null | null | gan_train_parameters.py | Amitdedhia6/DrugDiscovery | c70dec96cee4d0d643a8b9de30530b6871fdf05e | [
"Apache-2.0"
] | null | null | null | gan_train_parameters.py | Amitdedhia6/DrugDiscovery | c70dec96cee4d0d643a8b9de30530b6871fdf05e | [
"Apache-2.0"
] | null | null | null | from common import google_cloud
class GANTrainParameters():
def __init__(self):
self.num_epochs = 2000
self.batch_size = 10000
self.num_steps = 1
self.lr_d = 0.01
self.lr_g = 0.001
if not google_cloud:
self.batch_size = 1
training_param = GANTrainPara... | 19.352941 | 37 | 0.620061 | 254 | 0.772036 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0306c30fc6b959f99f270569a581136d38981cb5 | 8,672 | py | Python | tools/medico_classify.py | 1512159/tf-faster-rcnn-medico | 94c5cff76ef7bd271de050a8de53bd0145c6c8ec | [
"MIT"
] | null | null | null | tools/medico_classify.py | 1512159/tf-faster-rcnn-medico | 94c5cff76ef7bd271de050a8de53bd0145c6c8ec | [
"MIT"
] | null | null | null | tools/medico_classify.py | 1512159/tf-faster-rcnn-medico | 94c5cff76ef7bd271de050a8de53bd0145c6c8ec | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# --------------------------------------------------------
# Tensorflow Faster R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Xinlei Chen, based on code from Ross Girshick
# --------------------------------------------------------
"""
Demo script showing detections... | 32.479401 | 148 | 0.602975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,269 | 0.261647 |
0306f469c225a6dd8f6632d28c4cbdab089a9d7c | 107,563 | py | Python | platform/core/tests/test_experiments/test_views.py | hackerwins/polyaxon | ff56a098283ca872abfbaae6ba8abba479ffa394 | [
"Apache-2.0"
] | null | null | null | platform/core/tests/test_experiments/test_views.py | hackerwins/polyaxon | ff56a098283ca872abfbaae6ba8abba479ffa394 | [
"Apache-2.0"
] | null | null | null | platform/core/tests/test_experiments/test_views.py | hackerwins/polyaxon | ff56a098283ca872abfbaae6ba8abba479ffa394 | [
"Apache-2.0"
] | null | null | null | # pylint:disable=too-many-lines
import os
import time
from faker import Faker
from unittest.mock import patch
import pytest
from hestia.internal_services import InternalServices
from rest_framework import status
import conf
import stores
from api.experiments import queries
from api.experiments.serializers import (... | 40.914036 | 100 | 0.638826 | 104,201 | 0.968744 | 0 | 0 | 105,101 | 0.977111 | 0 | 0 | 11,055 | 0.102777 |
030752d970037ce742be150222524d388e311557 | 6,705 | py | Python | speech.py | jsarchibald/room-designer | d90f39f6b7a98d66f2f4c09529aaa46aea68611b | [
"MIT"
] | null | null | null | speech.py | jsarchibald/room-designer | d90f39f6b7a98d66f2f4c09529aaa46aea68611b | [
"MIT"
] | null | null | null | speech.py | jsarchibald/room-designer | d90f39f6b7a98d66f2f4c09529aaa46aea68611b | [
"MIT"
] | null | null | null | import pygame
import speech_recognition as sr
from time import sleep
import events
import objects as obj_types
from settings import SPEECH_CRED_FILE
from speech_helpers import correct_text, either_side, get_after, get_position, get_positions, get_size, is_in_objects, process_relative, select_obj_type
# A variable lis... | 35.104712 | 207 | 0.595824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,481 | 0.22088 |
03094a8fb0cb1c5dd1e571be669375786508c47f | 403 | py | Python | oacensus/exceptions.py | ananelson/oacensus | 87916c92ab1233bcf82a481113017dfb8d7701b9 | [
"Apache-2.0"
] | null | null | null | oacensus/exceptions.py | ananelson/oacensus | 87916c92ab1233bcf82a481113017dfb8d7701b9 | [
"Apache-2.0"
] | 2 | 2016-01-10T20:23:41.000Z | 2016-01-14T16:57:06.000Z | oacensus/exceptions.py | ananelson/oacensus | 87916c92ab1233bcf82a481113017dfb8d7701b9 | [
"Apache-2.0"
] | null | null | null | class OacensusError(Exception):
pass
class UserFeedback(OacensusError):
"""
An exception which was caused by user input or a runtime error and which
should be presented nicely.
"""
class ConfigFileFormatProblem(UserFeedback):
"""
A problem with config files.
"""
pass
class APIErro... | 19.190476 | 76 | 0.665012 | 396 | 0.98263 | 0 | 0 | 0 | 0 | 0 | 0 | 216 | 0.53598 |
0309577959891e0612c1c6a69dda2ed2d8030359 | 600 | py | Python | colosseum/mdps/river_swim/episodic/mdp.py | MichelangeloConserva/Colosseum | b0711fd9ce75520deb74cda75c148984a8e4152f | [
"MIT"
] | null | null | null | colosseum/mdps/river_swim/episodic/mdp.py | MichelangeloConserva/Colosseum | b0711fd9ce75520deb74cda75c148984a8e4152f | [
"MIT"
] | null | null | null | colosseum/mdps/river_swim/episodic/mdp.py | MichelangeloConserva/Colosseum | b0711fd9ce75520deb74cda75c148984a8e4152f | [
"MIT"
] | null | null | null | import gin
from colosseum.loops import human_loop
from colosseum.mdps import EpisodicMDP
from colosseum.mdps.river_swim.river_swim import RiverSwimMDP
@gin.configurable
class RiverSwimEpisodic(EpisodicMDP, RiverSwimMDP):
@property
def _graph_layout(self):
return {node: tuple(node) for node in self.G}... | 21.428571 | 61 | 0.691667 | 148 | 0.246667 | 0 | 0 | 166 | 0.276667 | 0 | 0 | 46 | 0.076667 |
0309958523ceb32502c420f13cb24f00e9e388b5 | 428 | py | Python | mpfmc/tests/_test_Template.py | arthurlutz/mpf-mc | 6f4aac5d48eb07dd5aa6612985a7567af8577ce2 | [
"MIT"
] | 16 | 2016-01-07T18:17:55.000Z | 2022-03-27T14:29:42.000Z | mpfmc/tests/_test_Template.py | arthurlutz/mpf-mc | 6f4aac5d48eb07dd5aa6612985a7567af8577ce2 | [
"MIT"
] | 308 | 2016-04-10T18:33:40.000Z | 2021-11-17T21:38:49.000Z | mpfmc/tests/_test_Template.py | arthurlutz/mpf-mc | 6f4aac5d48eb07dd5aa6612985a7567af8577ce2 | [
"MIT"
] | 39 | 2016-02-23T23:49:20.000Z | 2021-11-08T04:50:12.000Z | # How to add a test:
# Copy this file
# Rename TestTemplate to TestWhatever in line 9
# Rename machine path and config file in lines 11 and 14
from mpfmc.tests.MpfMcTestCase import MpfMcTestCase
class TestTemplate(MpfMcTestCase):
def get_machine_path(self):
return 'tests/machine_files/test_template'
... | 23.777778 | 56 | 0.733645 | 229 | 0.535047 | 0 | 0 | 0 | 0 | 0 | 0 | 194 | 0.453271 |
030a4c184f24d64d17b407ffa5bf671b2f098cd9 | 3,366 | py | Python | proto/availability_msgs_pb2.py | Mishaa1/leap | 636d8b02a49d2499cda88073f0bd04cc550a930c | [
"MIT"
] | null | null | null | proto/availability_msgs_pb2.py | Mishaa1/leap | 636d8b02a49d2499cda88073f0bd04cc550a930c | [
"MIT"
] | null | null | null | proto/availability_msgs_pb2.py | Mishaa1/leap | 636d8b02a49d2499cda88073f0bd04cc550a930c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: proto/availability-msgs.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import message as _m... | 44.289474 | 496 | 0.81224 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,409 | 0.418598 |
030af46d63eb07552bbcb49eb543b45022dab354 | 16,780 | py | Python | okokyst_station_mapping.py | trondkr/okokyst_toolbox | 3d5484458e4f346d593beb5b268378c70d391abd | [
"MIT"
] | null | null | null | okokyst_station_mapping.py | trondkr/okokyst_toolbox | 3d5484458e4f346d593beb5b268378c70d391abd | [
"MIT"
] | null | null | null | okokyst_station_mapping.py | trondkr/okokyst_toolbox | 3d5484458e4f346d593beb5b268378c70d391abd | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import datetime
from okokyst_metadata import surveys_lookup_table
import os
import re
import glob
import gsw
from okokyst_tools import pressure_to_depth
encoding = "ISO-8859-1"
__author__ = 'Elizaveta Protsenko'
__email__ = '[email protected]'
__created__ = datet... | 35.475687 | 164 | 0.589035 | 10,475 | 0.624255 | 0 | 0 | 0 | 0 | 0 | 0 | 6,566 | 0.391299 |
030c7de9f7e1401c045078e46717850748e35111 | 5,250 | py | Python | tests/unit/language/ast/test_interface_type_extension.py | matt-koevort/tartiflette | 5777866b133d846ce4f8aa03f735fa81832896cd | [
"MIT"
] | 530 | 2019-06-04T11:45:36.000Z | 2022-03-31T09:29:56.000Z | tests/unit/language/ast/test_interface_type_extension.py | matt-koevort/tartiflette | 5777866b133d846ce4f8aa03f735fa81832896cd | [
"MIT"
] | 242 | 2019-06-04T11:53:08.000Z | 2022-03-28T07:06:27.000Z | tests/unit/language/ast/test_interface_type_extension.py | matt-koevort/tartiflette | 5777866b133d846ce4f8aa03f735fa81832896cd | [
"MIT"
] | 36 | 2019-06-21T06:40:27.000Z | 2021-11-04T13:11:16.000Z | import pytest
from tartiflette.language.ast import InterfaceTypeExtensionNode
def test_interfacetypeextensionnode__init__():
interface_type_extension_node = InterfaceTypeExtensionNode(
name="interfaceTypeExtensionName",
directives="interfaceTypeExtensionDirectives",
fields="interfaceTypeE... | 36.206897 | 78 | 0.616571 | 0 | 0 | 0 | 0 | 4,450 | 0.847619 | 0 | 0 | 2,034 | 0.387429 |
030c9f62ddfe8e4538cc0711a16b8bb6b36078a9 | 715 | py | Python | Python/350_Intersection_of_Two_arrays_II.py | simonecorbo99/hacktoberfest2019-leetcode | 1e7150dafe337455616b2aea7a2cf2ffaf02cfd5 | [
"MIT"
] | 5 | 2019-10-01T17:07:36.000Z | 2020-10-30T21:01:35.000Z | Python/350_Intersection_of_Two_arrays_II.py | simonecorbo99/hacktoberfest2019-leetcode | 1e7150dafe337455616b2aea7a2cf2ffaf02cfd5 | [
"MIT"
] | 7 | 2019-10-05T17:52:33.000Z | 2020-10-29T04:52:29.000Z | Python/350_Intersection_of_Two_arrays_II.py | simonecorbo99/hacktoberfest2019-leetcode | 1e7150dafe337455616b2aea7a2cf2ffaf02cfd5 | [
"MIT"
] | 50 | 2019-10-01T21:07:07.000Z | 2021-11-05T07:15:36.000Z | '''Given two arrays, write a function to compute their intersection.
'''
class Solution(object):
def intersect(self, nums1, nums2):
"""
:type nums1: List[int]
:type nums2: List[int]
:rtype: List[int]
"""
m,n=len(nums1),len(nums2)
l=[]
if len(nums1)... | 23.833333 | 68 | 0.446154 | 638 | 0.892308 | 0 | 0 | 0 | 0 | 0 | 0 | 175 | 0.244755 |
030d393657be4aeb44ea123011d64e69a5d1d746 | 5,609 | py | Python | dataset/egtea_gaze.py | AllenXuuu/DCR | 2240b78ea7e03c43be8ba0a8649e6ab07db36fbd | [
"Apache-2.0"
] | null | null | null | dataset/egtea_gaze.py | AllenXuuu/DCR | 2240b78ea7e03c43be8ba0a8649e6ab07db36fbd | [
"Apache-2.0"
] | null | null | null | dataset/egtea_gaze.py | AllenXuuu/DCR | 2240b78ea7e03c43be8ba0a8649e6ab07db36fbd | [
"Apache-2.0"
] | null | null | null | from collections import defaultdict
import json
from pandas.core import frame
import torch
import pandas as pd
import os
import pickle as pkl
import numpy as np
import cv2
import h5py
import tqdm
import functools
import lmdb
class EGTEA_GAZE_DATASET(torch.utils.data.Dataset):
def __init__(self, logger, config, ro... | 33.386905 | 125 | 0.54466 | 5,381 | 0.959351 | 0 | 0 | 0 | 0 | 0 | 0 | 832 | 0.148333 |
030da47412e4bfcf6e77f631335b3a50a2f71685 | 1,092 | py | Python | LinkedList/Merge two sorted linked lists.py | Bomma-Pranay/InterviewBit | 3bc436cffd3afc7a28c67042e1589fbe7547952f | [
"MIT"
] | null | null | null | LinkedList/Merge two sorted linked lists.py | Bomma-Pranay/InterviewBit | 3bc436cffd3afc7a28c67042e1589fbe7547952f | [
"MIT"
] | null | null | null | LinkedList/Merge two sorted linked lists.py | Bomma-Pranay/InterviewBit | 3bc436cffd3afc7a28c67042e1589fbe7547952f | [
"MIT"
] | null | null | null | '''
Merge Two Sorted Lists
Asked in:
Microsoft
Yahoo
Amazon
Merge two sorted linked lists and return it as a new list.
The new list should be made by splicing together the nodes of the first two lists, and should also be sorted.
For example, given following linked lists :
5 -> 8 -> 20
4 -> 11 -> 15
The merged ... | 22.75 | 109 | 0.53022 | 716 | 0.655678 | 0 | 0 | 0 | 0 | 0 | 0 | 519 | 0.475275 |
030e8114c7513a4a89a8a24f6c91ba6ed8c9d8ae | 299 | py | Python | Lista 1 Banin/ex08.py | qnomon/Python-Studies | dbd592cf2a161bb9ddbec66f020c602bddc6d44b | [
"MIT"
] | null | null | null | Lista 1 Banin/ex08.py | qnomon/Python-Studies | dbd592cf2a161bb9ddbec66f020c602bddc6d44b | [
"MIT"
] | null | null | null | Lista 1 Banin/ex08.py | qnomon/Python-Studies | dbd592cf2a161bb9ddbec66f020c602bddc6d44b | [
"MIT"
] | null | null | null | v = int(input('Digite um valor: '))
validador = 0
contador = 1
while contador < v:
if v % contador == 0:
validador += 1
contador +=1
if validador > 1:
print(f'Esse número NÃO é primo, pois é divisível por {validador+1} números diferentes ')
else:
print('Esse número é primo') | 27.181818 | 93 | 0.64214 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 0.423453 |
0310131e0454f4f269acaa1f44087c3778bd5b88 | 13,906 | py | Python | b2handle/tests/testcases/handleclient_read_integration_test.py | mikedarcy/B2HANDLE | a14ae52110ffa4731bb9766713cd27f3d897141e | [
"Apache-2.0"
] | 20 | 2015-10-08T12:09:43.000Z | 2020-12-01T15:21:26.000Z | b2handle/tests/testcases/handleclient_read_integration_test.py | EUDAT-B2HANDLE/B2HANDLE | 9c4acf94ea6d22ab8aff735e0f202b3e03d582a9 | [
"Apache-2.0"
] | 64 | 2015-09-18T09:39:50.000Z | 2021-09-02T10:20:39.000Z | b2handle/tests/testcases/handleclient_read_integration_test.py | EUDAT-B2HANDLE/B2HANDLE | 9c4acf94ea6d22ab8aff735e0f202b3e03d582a9 | [
"Apache-2.0"
] | 33 | 2015-08-13T10:20:17.000Z | 2021-07-20T00:18:56.000Z | """Testing methods that need Handle server read access"""
import sys
if sys.version_info < (2, 7):
import unittest2 as unittest
else:
import unittest
import requests
import json
import mock
import b2handle
from b2handle.handleclient import EUDATHandleClient
from b2handle.handleexceptions import *
# Load some... | 40.9 | 116 | 0.648929 | 13,158 | 0.94621 | 0 | 0 | 0 | 0 | 0 | 0 | 4,646 | 0.3341 |
03121b48c8c35b2b0f007ab147db73d43b9f5419 | 10,819 | py | Python | python/cthreepo/core/models.py | sdss/cthreepo | 86804657cae90bf69b77367a355bb49eb220a4b2 | [
"BSD-3-Clause"
] | 1 | 2019-06-19T09:30:39.000Z | 2019-06-19T09:30:39.000Z | python/cthreepo/core/models.py | sdss/cthreepo | 86804657cae90bf69b77367a355bb49eb220a4b2 | [
"BSD-3-Clause"
] | null | null | null | python/cthreepo/core/models.py | sdss/cthreepo | 86804657cae90bf69b77367a355bb49eb220a4b2 | [
"BSD-3-Clause"
] | null | null | null | # !/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Filename: models.py
# Project: core
# Author: Brian Cherinka
# Created: Saturday, 12th September 2020 12:55:22 pm
# License: BSD 3-clause "New" or "Revised" License
# Copyright (c) 2020 Brian Cherinka
# Last Modified: Saturday, 12th September 2020 12:55:22 pm
# Modifie... | 31.914454 | 100 | 0.634994 | 1,547 | 0.142989 | 0 | 0 | 158 | 0.014604 | 0 | 0 | 6,251 | 0.57778 |
03124cf711ceb00968f5cacee727fb9c26ed3485 | 1,458 | py | Python | project_src/deep_learning/pytorch_openai_transformer/datasets.py | tcvrick/COMP551-IMDB-Competition | 64f83142c86e895db3a0ca037c31efb404910723 | [
"MIT"
] | 2 | 2019-08-12T13:47:21.000Z | 2020-05-03T11:53:38.000Z | project_src/deep_learning/pytorch_openai_transformer/datasets.py | tcvrick/COMP551-IMDB-Competition | 64f83142c86e895db3a0ca037c31efb404910723 | [
"MIT"
] | null | null | null | project_src/deep_learning/pytorch_openai_transformer/datasets.py | tcvrick/COMP551-IMDB-Competition | 64f83142c86e895db3a0ca037c31efb404910723 | [
"MIT"
] | null | null | null | import re
import html
import pandas as pd
re1 = re.compile(r' +')
def imdb(fold_id: int, split_size: int):
df = pd.read_pickle('df_train.pkl')
df = df.reindex(columns=['sentiment', 'text'])
df['text'] = df['text'].apply(fixup)
# Split the data into k-folds.
df_val = df[split_size * fold_id:split... | 40.5 | 109 | 0.603567 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 478 | 0.327846 |
031365d53b1a04b88852c96530151afb17b9aec7 | 1,136 | py | Python | coyaml/cli.py | tailhook/coyaml | 2de4f0d99446afb43d9e1a0cb576e048f47c108a | [
"MIT"
] | 8 | 2015-01-28T15:08:38.000Z | 2021-11-17T05:27:21.000Z | coyaml/cli.py | tailhook/coyaml | 2de4f0d99446afb43d9e1a0cb576e048f47c108a | [
"MIT"
] | 3 | 2016-06-08T09:55:12.000Z | 2019-09-14T12:40:46.000Z | coyaml/cli.py | tailhook/coyaml | 2de4f0d99446afb43d9e1a0cb576e048f47c108a | [
"MIT"
] | 1 | 2015-05-28T12:22:16.000Z | 2015-05-28T12:22:16.000Z | from .core import Config
def simple():
from optparse import OptionParser
op = OptionParser(usage="\n %prog\n %prog -c config.yaml")
op.add_option('-c', '--config', metavar="FILENAME",
help="Configuration file to parse",
dest="configfile", default=None, type="string")
op.add_option... | 39.172414 | 76 | 0.618838 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 420 | 0.369718 |
03153f7cf1c50ca8cd8cf5e6dbf17444f5fb56d1 | 22,597 | py | Python | tests/data_namespace_test.py | XD-embedded/xd-build-core | 357e4d78d35456d6906aa30151ddc989781227ab | [
"MIT"
] | 1 | 2020-11-27T23:34:53.000Z | 2020-11-27T23:34:53.000Z | tests/data_namespace_test.py | XD-embedded/xd-build-core | 357e4d78d35456d6906aa30151ddc989781227ab | [
"MIT"
] | 6 | 2015-10-30T12:22:56.000Z | 2016-08-25T09:38:48.000Z | tests/data_namespace_test.py | XD-embedded/xd-build-core | 357e4d78d35456d6906aa30151ddc989781227ab | [
"MIT"
] | null | null | null | from xd.build.core.data.namespace import *
from xd.build.core.data.expr import Expression
from xd.build.core.data.string import String
from xd.build.core.data.list import List
from xd.build.core.data.dict import Dict
from xd.build.core.data.func import Function
from xd.build.core.data.num import *
import unittest
cla... | 34.764615 | 78 | 0.538523 | 22,279 | 0.985927 | 0 | 0 | 0 | 0 | 0 | 0 | 4,024 | 0.178077 |
03163282de6da6741659d1e1e50c91fdd514f086 | 869 | py | Python | gtfs/stop.py | fabiotanniguchi/emdec-gtfs | 823274d45263409d1d3ee56cf07f60e12d64003a | [
"WTFPL"
] | null | null | null | gtfs/stop.py | fabiotanniguchi/emdec-gtfs | 823274d45263409d1d3ee56cf07f60e12d64003a | [
"WTFPL"
] | null | null | null | gtfs/stop.py | fabiotanniguchi/emdec-gtfs | 823274d45263409d1d3ee56cf07f60e12d64003a | [
"WTFPL"
] | null | null | null | from google.appengine.ext import ndb
from protorpc import messages
from google.appengine.ext.ndb import msgprop
from csvmodel import CsvModel
class Stop(CsvModel):
class LocationType(messages.Enum):
STOP = 0
STATION = 1
class WheelchairBoarding(messages.Enum):
UNKNOWN = 0
POSSI... | 31.035714 | 66 | 0.714614 | 725 | 0.834292 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0.036824 |
031665446c8a18e24282dac5017b301c097a262b | 1,314 | py | Python | inheritance.py | Preeti-Barua/Python | 76d168617f2a92fa41d6af4ddf62450b6272ff84 | [
"bzip2-1.0.6"
] | null | null | null | inheritance.py | Preeti-Barua/Python | 76d168617f2a92fa41d6af4ddf62450b6272ff84 | [
"bzip2-1.0.6"
] | null | null | null | inheritance.py | Preeti-Barua/Python | 76d168617f2a92fa41d6af4ddf62450b6272ff84 | [
"bzip2-1.0.6"
] | null | null | null | ##***
##class Base:
## def methodBase(self):
## print("In base class")
##class child(Base):
## def methodchild(Base):
## print("In child class")
##c1=child()
##c1.methodBase()
##c1.methodchild()
##***
##class Base:
## def ___init__(self):
## print('base')
##class child(Base):
## pass
... | 14.282609 | 54 | 0.560883 | 809 | 0.615677 | 0 | 0 | 0 | 0 | 0 | 0 | 453 | 0.344749 |
0317d33db00641c8632076d25e16d90972c26ea2 | 82 | py | Python | cmake-build-debug/devel/lib/python2.7/dist-packages/kinect2_tracker/msg/__init__.py | myboyhood/intention_recognize | 30e2b7e4e8c8a5df59989500ff92a0b807cf15f2 | [
"MIT"
] | null | null | null | cmake-build-debug/devel/lib/python2.7/dist-packages/kinect2_tracker/msg/__init__.py | myboyhood/intention_recognize | 30e2b7e4e8c8a5df59989500ff92a0b807cf15f2 | [
"MIT"
] | null | null | null | cmake-build-debug/devel/lib/python2.7/dist-packages/kinect2_tracker/msg/__init__.py | myboyhood/intention_recognize | 30e2b7e4e8c8a5df59989500ff92a0b807cf15f2 | [
"MIT"
] | null | null | null | from ._bounding_box import *
from ._user_IDs import *
from ._user_points import *
| 20.5 | 28 | 0.780488 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
031a0bb9c7e7eb89c3804e46ae64112b02ade8a2 | 1,701 | py | Python | appdaemon/settings/apps/presence/home/alarm_panel.py | monster1025/home-assistant | 194723e228a798b99693220ad332a2c55d06e248 | [
"Apache-2.0"
] | null | null | null | appdaemon/settings/apps/presence/home/alarm_panel.py | monster1025/home-assistant | 194723e228a798b99693220ad332a2c55d06e248 | [
"Apache-2.0"
] | null | null | null | appdaemon/settings/apps/presence/home/alarm_panel.py | monster1025/home-assistant | 194723e228a798b99693220ad332a2c55d06e248 | [
"Apache-2.0"
] | null | null | null | import appdaemon.plugins.hass.hassapi as hass
#
# Listen for presence sensor change state and change alarm control panel state.
#
# Args:
# sensor - home presence 'sensor'
# ha_panel - alarm control panel entity (to arm and disarm).
# constraint - (optional, input_boolen), if turned off - alarm panel will be n... | 36.978261 | 97 | 0.680188 | 1,299 | 0.763668 | 0 | 0 | 0 | 0 | 0 | 0 | 661 | 0.388595 |
031c6ddb51fddc4e6b54071f60cd8121116d2c91 | 398 | py | Python | general/scry_message.py | kcunning/gamemaster-scripts | ec0658e498807d9c7017da313ecf1b9ed3eb6862 | [
"MIT"
] | 15 | 2019-01-17T20:09:45.000Z | 2022-01-05T15:56:32.000Z | general/scry_message.py | palikhov/CnM-GM-RPG-scripts | ec0658e498807d9c7017da313ecf1b9ed3eb6862 | [
"MIT"
] | 5 | 2020-04-27T19:48:54.000Z | 2022-03-11T23:39:49.000Z | general/scry_message.py | palikhov/CnM-GM-RPG-scripts | ec0658e498807d9c7017da313ecf1b9ed3eb6862 | [
"MIT"
] | 8 | 2019-02-20T21:18:46.000Z | 2021-04-30T03:43:20.000Z | from random import randint
import datetime
lvl = 10
base_rounds = 10
rounds = lvl * base_rounds
print("You have", rounds, "rounds to try to get through.")
for i in range(rounds):
r = randint(1, 100)
print(r)
if r >= 96:
break
print("Number of rounds:", i)
if i == rounds - 1:
print("Nothing ... | 19.9 | 58 | 0.645729 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 0.226131 |
031c707ec58ef183b7c607c6546f5f047d0e3e8e | 272 | py | Python | scripting/__init__.py | csdms/py-scripting | df8ba070e44a9d8e6ffcb70958f851e6776e2853 | [
"MIT"
] | null | null | null | scripting/__init__.py | csdms/py-scripting | df8ba070e44a9d8e6ffcb70958f851e6776e2853 | [
"MIT"
] | null | null | null | scripting/__init__.py | csdms/py-scripting | df8ba070e44a9d8e6ffcb70958f851e6776e2853 | [
"MIT"
] | null | null | null | from ._version import get_versions
from .contexts import cd
from .prompting import error, prompt, status, success
from .unix import cp, ln_s
__all__ = ["prompt", "status", "success", "error", "cp", "cd", "ln_s"]
__version__ = get_versions()["version"]
del get_versions
| 24.727273 | 70 | 0.724265 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0.202206 |
031df329773b42e6e3ea2acdd1a1f8a14ec08d3e | 5,566 | py | Python | src/qibo/tests/test_core_hamiltonians_trotter.py | mlazzarin/qibo | e82bc3e27c5182be7b6f0b23bd20bc1057e31701 | [
"Apache-2.0"
] | 81 | 2020-09-04T10:54:40.000Z | 2021-05-17T13:20:38.000Z | src/qibo/tests/test_core_hamiltonians_trotter.py | mlazzarin/qibo | e82bc3e27c5182be7b6f0b23bd20bc1057e31701 | [
"Apache-2.0"
] | 201 | 2020-08-24T08:41:33.000Z | 2021-05-18T12:23:19.000Z | src/qibo/tests/test_core_hamiltonians_trotter.py | mlazzarin/qibo | e82bc3e27c5182be7b6f0b23bd20bc1057e31701 | [
"Apache-2.0"
] | 13 | 2020-09-08T12:34:35.000Z | 2021-04-29T22:46:21.000Z | """Test Trotter Hamiltonian methods from `qibo/core/hamiltonians.py`."""
import pytest
import numpy as np
import qibo
from qibo import hamiltonians, K
from qibo.tests.utils import random_state, random_complex, random_hermitian
@pytest.mark.parametrize("nqubits", [3, 4])
@pytest.mark.parametrize("model", ["TFIM", "XXZ... | 40.333333 | 82 | 0.7129 | 0 | 0 | 0 | 0 | 1,409 | 0.253144 | 0 | 0 | 698 | 0.125404 |
031edf024d26f78ee1dab7fb7974111571cd521e | 99 | py | Python | utils.py | FrCln/SpaceGarbage | 0e121143888b108eac2b86b1dd9fcbf20dcef36e | [
"MIT"
] | null | null | null | utils.py | FrCln/SpaceGarbage | 0e121143888b108eac2b86b1dd9fcbf20dcef36e | [
"MIT"
] | null | null | null | utils.py | FrCln/SpaceGarbage | 0e121143888b108eac2b86b1dd9fcbf20dcef36e | [
"MIT"
] | null | null | null | import asyncio
async def sleep(delay):
for i in range(delay):
await asyncio.sleep(0)
| 14.142857 | 30 | 0.656566 | 0 | 0 | 0 | 0 | 0 | 0 | 81 | 0.818182 | 0 | 0 |
031ef69a071c2f61a4e58bcde34b41a5a2f122f6 | 6,186 | py | Python | models/utils/layers.py | icarus945/Torch_Detection | 4cb8ca22a7fa2f45c72b60d794ae2a2ed1a35cd8 | [
"MIT"
] | 3 | 2018-12-23T14:07:39.000Z | 2019-10-18T03:05:39.000Z | models/utils/layers.py | icarus945/Torch_Detection | 4cb8ca22a7fa2f45c72b60d794ae2a2ed1a35cd8 | [
"MIT"
] | 20 | 2018-11-24T15:59:20.000Z | 2019-01-30T16:42:25.000Z | models/utils/layers.py | icarus945/Torch_Detection | 4cb8ca22a7fa2f45c72b60d794ae2a2ed1a35cd8 | [
"MIT"
] | 6 | 2018-11-14T13:12:24.000Z | 2019-01-03T02:40:49.000Z | import warnings
import torch.nn as nn
def conv1x1_group(in_planes, out_planes, stride=1, groups=1):
"""
1x1 convolution with group, without bias
- Normal 1x1 convolution when groups == 1
- Grouped 1x1 convolution when groups > 1
"""
return nn.Conv2d(in_channels=in_planes,
... | 30.472906 | 79 | 0.534756 | 4,062 | 0.656644 | 0 | 0 | 0 | 0 | 0 | 0 | 1,134 | 0.183317 |
031fd2613a36677be2ac3e5ad262f6fafd120692 | 1,073 | py | Python | src/app.py | kangheeyong/PROJECT-datahub-api-server | 1593603f0fbb6a2a027a677494b25584ebc91573 | [
"MIT"
] | null | null | null | src/app.py | kangheeyong/PROJECT-datahub-api-server | 1593603f0fbb6a2a027a677494b25584ebc91573 | [
"MIT"
] | null | null | null | src/app.py | kangheeyong/PROJECT-datahub-api-server | 1593603f0fbb6a2a027a677494b25584ebc91573 | [
"MIT"
] | null | null | null | from sanic import Sanic
from sanic.response import json
from sanic_openapi import doc, swagger_blueprint
from util import authorized
app = Sanic(__name__)
app.config["API_TITLE"] = "My-DataHub-OpenAPI"
app.config["API_VERSION"] = "0.1.0"
app.config["API_DESCRIPTION"] = "An example Swagger from Sanic-OpenAPI"
app.co... | 26.825 | 100 | 0.737185 | 44 | 0.040628 | 0 | 0 | 410 | 0.378578 | 63 | 0.058172 | 418 | 0.385965 |
0323bfe0266dc12dfb65c5926feae4f31ef1770b | 1,323 | py | Python | bouser_db/service.py | MarsStirner/bouser.db | 86c0cb8991b96b908af0dec7843e8ffbd0f18ae8 | [
"0BSD"
] | null | null | null | bouser_db/service.py | MarsStirner/bouser.db | 86c0cb8991b96b908af0dec7843e8ffbd0f18ae8 | [
"0BSD"
] | null | null | null | bouser_db/service.py | MarsStirner/bouser.db | 86c0cb8991b96b908af0dec7843e8ffbd0f18ae8 | [
"0BSD"
] | null | null | null | # -*- coding: utf-8 -*-
import contextlib
import sqlalchemy
import sqlalchemy.orm
from twisted.application.service import Service
from zope.interface.declarations import implementer
from bouser.helpers.plugin_helpers import Dependency, BouserPlugin
from .interfaces import IDataBaseService
__author__ = 'mmalkov'
@i... | 24.962264 | 71 | 0.642479 | 972 | 0.734694 | 351 | 0.265306 | 1,003 | 0.758125 | 0 | 0 | 56 | 0.042328 |
03245e36530e8be45e6254760cac36f4e2d93c2b | 581 | py | Python | wavutils/wav_connect.py | makobouzu/rnnoise | 3a3b854722cdc511860744e11bdbba22d63ed2b5 | [
"BSD-3-Clause"
] | null | null | null | wavutils/wav_connect.py | makobouzu/rnnoise | 3a3b854722cdc511860744e11bdbba22d63ed2b5 | [
"BSD-3-Clause"
] | null | null | null | wavutils/wav_connect.py | makobouzu/rnnoise | 3a3b854722cdc511860744e11bdbba22d63ed2b5 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from pydub import AudioSegment
import sys
import glob
if __name__ == "__main__":
args = sys.argv
folder = glob.glob(args[1] + "/*.wav")
initial = False
for file in folder:
soundfile = AudioSegment.from_file(file, "wav")
if initial == False:
soundfil... | 26.409091 | 60 | 0.562823 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71 | 0.122203 |
032672ab93f8bb597d47b58b260a24ea167e130b | 3,996 | py | Python | scripts/utils/calculate_deg.py | okumakito/dnb-bts | 5521e76d7c7ac3eccbd111227dad49c77a198ac7 | [
"MIT"
] | null | null | null | scripts/utils/calculate_deg.py | okumakito/dnb-bts | 5521e76d7c7ac3eccbd111227dad49c77a198ac7 | [
"MIT"
] | null | null | null | scripts/utils/calculate_deg.py | okumakito/dnb-bts | 5521e76d7c7ac3eccbd111227dad49c77a198ac7 | [
"MIT"
] | 1 | 2021-11-22T09:20:09.000Z | 2021-11-22T09:20:09.000Z | import numpy as np
import pandas as pd
from utils import calculate_q
from scipy import stats
def calculate_deg_fold_change(data1_df, data2_df, fc_cutoff=1,
alternative='two-sided'):
"""
This function calculates differentially expressed genes (DEGs)
between two DataFrames or Series... | 32.754098 | 80 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,309 | 0.577828 |
0326b6925c35f8d5ffa44459a0582e31350f4aa2 | 6,326 | py | Python | attributes_data/nearestNeighborTest.py | aeksco/FRMA-Ontology | 1eab8731bdad49328dddfbf52468d2a107d3f247 | [
"MIT"
] | null | null | null | attributes_data/nearestNeighborTest.py | aeksco/FRMA-Ontology | 1eab8731bdad49328dddfbf52468d2a107d3f247 | [
"MIT"
] | 1 | 2018-11-03T00:10:01.000Z | 2018-11-03T00:10:01.000Z | attributes_data/nearestNeighborTest.py | aeksco/FRMA-Ontology | 1eab8731bdad49328dddfbf52468d2a107d3f247 | [
"MIT"
] | 2 | 2018-11-03T00:02:29.000Z | 2018-11-03T00:11:53.000Z | """
This is a test that we're using to gather example data from our two example models.
This is passed a list of image names, image numbers, and the vector representing the face in the photo,
and this script takes that and a split of testing vs training data to determine how accurate the model was by simply
checking wh... | 42.743243 | 170 | 0.727948 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,568 | 0.564021 |
032895bcd14a3671ab5030eaa6c072fe010b5493 | 792 | py | Python | Miscillanious/random_split_train_val.py | b-safwat/multi_action_recognition | 1a85da64cf236b9fb7c9a58ae75bdd092d05fab8 | [
"Apache-2.0"
] | 1 | 2019-12-21T17:29:08.000Z | 2019-12-21T17:29:08.000Z | Miscillanious/random_split_train_val.py | b-safwat/multi_action_recognition | 1a85da64cf236b9fb7c9a58ae75bdd092d05fab8 | [
"Apache-2.0"
] | null | null | null | Miscillanious/random_split_train_val.py | b-safwat/multi_action_recognition | 1a85da64cf236b9fb7c9a58ae75bdd092d05fab8 | [
"Apache-2.0"
] | null | null | null | import numpy as np
def save_list_to_file(z_list, z_file):
with open(z_file, 'w') as fw:
fw.writelines(z_list)
def random_split_train_test(train_file, out_train_file, out_test_file, train_percentage=0.8):
with open(train_file) as fr:
lines = fr.readlines()
np.random.shuffle(lines)
t... | 36 | 111 | 0.72096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 191 | 0.241162 |
032a7743edf88f77da5c9d56359f55cc608dcd5a | 3,596 | py | Python | src/thompson/codered.py | thepolicylab/COVID-SMSExperiment | 2eb41a2fea4858b7e794bb7a6af396f66d41f1a6 | [
"MIT"
] | null | null | null | src/thompson/codered.py | thepolicylab/COVID-SMSExperiment | 2eb41a2fea4858b7e794bb7a6af396f66d41f1a6 | [
"MIT"
] | null | null | null | src/thompson/codered.py | thepolicylab/COVID-SMSExperiment | 2eb41a2fea4858b7e794bb7a6af396f66d41f1a6 | [
"MIT"
] | null | null | null | """
Functions and classes for interacting with the CodeRED data format
"""
from dataclasses import dataclass
from typing import List, Optional, Union
import pandas as pd
from .types import FilenameType
# The required headers for CodeRED
EXCEL_HEADERS = (
"Command",
"CustomKey",
"ContactId",
"First Na... | 26.057971 | 87 | 0.629588 | 1,770 | 0.492214 | 0 | 0 | 1,794 | 0.498888 | 0 | 0 | 1,238 | 0.344271 |
032c7a1695749c8763dea4e548dc9e5de7308f19 | 2,516 | py | Python | ecommercejockey/premier/admin/inlines.py | anniethiessen/dieselr-ecommerce | 9268b72553845a4650cdfe7c88b398db3cf92258 | [
"MIT"
] | null | null | null | ecommercejockey/premier/admin/inlines.py | anniethiessen/dieselr-ecommerce | 9268b72553845a4650cdfe7c88b398db3cf92258 | [
"MIT"
] | 11 | 2020-06-06T00:04:26.000Z | 2022-03-12T00:57:41.000Z | ecommercejockey/premier/admin/inlines.py | anniethiessen/ecommerce-jockey | 9268b72553845a4650cdfe7c88b398db3cf92258 | [
"MIT"
] | null | null | null | from imagekit.admin import AdminThumbnail
from django.contrib.admin import TabularInline
from core.admin.forms import LimitedInlineFormSet
from core.admin.utils import (
get_change_view_link,
get_changelist_view_link
)
from ..models import PremierProduct
class PremierManufacturerProductsTabularInline(Tabula... | 26.208333 | 79 | 0.635135 | 2,248 | 0.893482 | 0 | 0 | 0 | 0 | 0 | 0 | 580 | 0.230525 |
032dd466c58aab15fcfe54642491eba4025f614d | 629 | py | Python | tests/test_base.py | giommok/cumulator | 042e303b64976ef71a93a91aa85180f14d46c25e | [
"MIT"
] | 1 | 2020-06-10T10:23:54.000Z | 2020-06-10T10:23:54.000Z | tests/test_base.py | giommok/cumulator | 042e303b64976ef71a93a91aa85180f14d46c25e | [
"MIT"
] | null | null | null | tests/test_base.py | giommok/cumulator | 042e303b64976ef71a93a91aa85180f14d46c25e | [
"MIT"
] | 1 | 2020-06-10T10:24:33.000Z | 2020-06-10T10:24:33.000Z | import unittest
from src.cumulator.base import Cumulator
class TestBase(unittest.TestCase):
def test_run(self):
cumulator = Cumulator()
# Test without parameters
def foo():
return 1
output = cumulator.run(foo)
self.assertEqual(1, output)
# Tests with ... | 20.290323 | 43 | 0.573927 | 520 | 0.826709 | 0 | 0 | 0 | 0 | 0 | 0 | 84 | 0.133545 |
032de55c5e8bb65a3b5acc0d233be5fff6131de6 | 4,191 | py | Python | dictionary_service.py | radomd92/botjagwar | 1dc96600c40041057a9f9afde38c31ca34b8db38 | [
"MIT"
] | 7 | 2015-01-23T17:24:04.000Z | 2022-01-12T16:54:24.000Z | dictionary_service.py | radomd92/botjagwar | 1dc96600c40041057a9f9afde38c31ca34b8db38 | [
"MIT"
] | 18 | 2017-12-09T01:11:23.000Z | 2021-09-22T13:26:24.000Z | dictionary_service.py | radomd92/botjagwar | 1dc96600c40041057a9f9afde38c31ca34b8db38 | [
"MIT"
] | 1 | 2015-06-22T02:17:55.000Z | 2015-06-22T02:17:55.000Z | #!/usr/bin/python3
import argparse
import logging as log
from aiohttp import web
from api.databasemanager import DictionaryDatabaseManager
from api.dictionary import \
entry, \
definition, \
translation, \
configuration
from api.dictionary import \
get_dictionary, \
get_dictionary_xml, \
g... | 31.044444 | 92 | 0.720353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,177 | 0.28084 |
032e191105068d7dcb7cfc95541e05575acdbe66 | 360 | py | Python | output/models/nist_data/list_pkg/any_uri/schema_instance/nistschema_sv_iv_list_any_uri_enumeration_1_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/nist_data/list_pkg/any_uri/schema_instance/nistschema_sv_iv_list_any_uri_enumeration_1_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/nist_data/list_pkg/any_uri/schema_instance/nistschema_sv_iv_list_any_uri_enumeration_1_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from output.models.nist_data.list_pkg.any_uri.schema_instance.nistschema_sv_iv_list_any_uri_enumeration_1_xsd.nistschema_sv_iv_list_any_uri_enumeration_1 import (
NistschemaSvIvListAnyUriEnumeration1,
NistschemaSvIvListAnyUriEnumeration1Type,
)
__all__ = [
"NistschemaSvIvListAnyUriEnumeration1",
"Nists... | 36 | 162 | 0.861111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0.222222 |
03308bb8046fd0dc61b44e11e40b5b2918967121 | 3,578 | py | Python | classification/libs/utils.py | 96lives/matrixlstm | 83332111a459dd3fbca944898fffd935faac8820 | [
"Apache-2.0"
] | 19 | 2020-08-11T09:18:28.000Z | 2022-03-10T13:53:13.000Z | N-ROD/evrepr/thirdparty/matrixlstm/classification/libs/utils.py | Chiaraplizz/home | 18cc93a795ce132e05b886aa34565a102915b1c6 | [
"MIT"
] | 4 | 2021-01-04T11:55:50.000Z | 2021-09-18T14:00:50.000Z | N-ROD/evrepr/thirdparty/matrixlstm/classification/libs/utils.py | Chiaraplizz/home | 18cc93a795ce132e05b886aa34565a102915b1c6 | [
"MIT"
] | 4 | 2020-09-03T07:12:55.000Z | 2021-08-19T11:37:55.000Z | import torch
import numpy as np
import re
import itertools
from textwrap import wrap
import matplotlib.pyplot as plt
def padding_mask(lengths, batch_size, time_size=None):
"""
Computes a [batch_size, time_size] binary mask which selects all and only the
non padded values in the input tensor
:param t... | 31.946429 | 97 | 0.671325 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,138 | 0.318055 |
03315e91b0c1b2d1e2f30824173b23c77f6b76f7 | 1,642 | py | Python | faq_module/commands/faq_on_message.py | alentoghostflame/StupidAlentoBot | c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba | [
"MIT"
] | 1 | 2021-12-12T02:50:20.000Z | 2021-12-12T02:50:20.000Z | faq_module/commands/faq_on_message.py | alentoghostflame/StupidAlentoBot | c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba | [
"MIT"
] | 17 | 2020-02-07T23:40:36.000Z | 2020-12-22T16:38:44.000Z | faq_module/commands/faq_on_message.py | alentoghostflame/StupidAlentoBot | c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba | [
"MIT"
] | null | null | null | from faq_module.storage import FAQManager # , FAQConfig, FAQData
# from faq_module.commands import text
# from discord.ext import commands
# import faq_module.text
# import logging
import discord
# import typing
import re
async def faq_on_message(faq_manager: FAQManager, message: discord.Message):
embed = discor... | 34.208333 | 122 | 0.685749 | 0 | 0 | 0 | 0 | 0 | 0 | 339 | 0.206456 | 226 | 0.137637 |
03337a286707757f1d435b3aaef9ca40f548193a | 2,298 | py | Python | tests/devices_test.py | jebabi/controllerx | bc68cdd69e416880e6394b3ecf92522b3871e959 | [
"MIT"
] | null | null | null | tests/devices_test.py | jebabi/controllerx | bc68cdd69e416880e6394b3ecf92522b3871e959 | [
"MIT"
] | null | null | null | tests/devices_test.py | jebabi/controllerx | bc68cdd69e416880e6394b3ecf92522b3871e959 | [
"MIT"
] | null | null | null | from tests.utils import hass_mock, get_instances
import devices as devices_module
from core import Controller
from core import type as type_module
def _import_modules(file_dir, package):
pkg_dir = os.path.dirname(file_dir)
for (module_loader, name, ispkg) in pkgutil.iter_modules([pkg_dir]):
if ispkg:
... | 35.353846 | 88 | 0.656223 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 340 | 0.147955 |
0334a1705c59bb245b5883fc692d78120a2f4bb6 | 521 | py | Python | setup.py | capolan/iocfg | 0d4be5ac232b76155100491a082ba333569d6ca8 | [
"MIT"
] | null | null | null | setup.py | capolan/iocfg | 0d4be5ac232b76155100491a082ba333569d6ca8 | [
"MIT"
] | null | null | null | setup.py | capolan/iocfg | 0d4be5ac232b76155100491a082ba333569d6ca8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from setuptools import setup, find_packages
setup(name='iocfg',
version='0.1',
description='Configuration for IO modules on Novus IHM',
author='Thomas Del Grande',
author_email='[email protected]',
packages=find_packages(),
scripts=[
'scripts/diocfg',... | 26.05 | 62 | 0.621881 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 262 | 0.502879 |
0337794490e59afb0d50e7e70f8ff18f29c9d996 | 1,912 | py | Python | Data Manipulation with pandas/Transforming-Data.py | shreejitverma/Data-Scientist | 03c06936e957f93182bb18362b01383e5775ffb1 | [
"MIT"
] | 2 | 2022-03-12T04:53:03.000Z | 2022-03-27T12:39:21.000Z | Data Manipulation with pandas/Transforming-Data.py | shivaniverma1/Data-Scientist | f82939a411484311171465591455880c8e354750 | [
"MIT"
] | null | null | null | Data Manipulation with pandas/Transforming-Data.py | shivaniverma1/Data-Scientist | f82939a411484311171465591455880c8e354750 | [
"MIT"
] | 2 | 2022-03-12T04:52:21.000Z | 2022-03-27T12:45:32.000Z |
# Import pandas using the alias pd
import pandas as pd
# Print the head of the homelessness data
print(homelessness.head())
# Print the values of homelessness
print(homelessness.values)
# Print the column index of homelessness
print(homelessness.columns)
# Print the row index of homelessness
print(homelessness.i... | 26.929577 | 82 | 0.780335 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,075 | 0.562238 |
033779b299ba043f0969f3a671cd13882ea21786 | 1,599 | py | Python | models/bittrex.py | etherionlab/the_token_fund_asset_parser | c0d7346a8df6ca44992d7c852b58a114692865ae | [
"MIT"
] | 6 | 2017-06-11T19:24:36.000Z | 2017-09-21T21:17:15.000Z | models/bittrex.py | baby636/the-token-fund-asset-parser | c0d7346a8df6ca44992d7c852b58a114692865ae | [
"MIT"
] | 4 | 2017-07-24T10:57:26.000Z | 2017-07-30T10:09:42.000Z | models/bittrex.py | baby636/the-token-fund-asset-parser | c0d7346a8df6ca44992d7c852b58a114692865ae | [
"MIT"
] | 6 | 2018-08-02T05:57:11.000Z | 2021-02-09T06:55:22.000Z | import aiohttp
from time import time
import json
from hashlib import sha512
import hmac
from .fetcher import Fetcher
class BittrexAPI(Fetcher):
_URL = 'https://bittrex.com/api/v1.1/'
_KEY = None
_SECRET = None
def __init__(self, key, secret):
if key is None or secret is None:
rai... | 31.98 | 89 | 0.553471 | 1,478 | 0.924328 | 0 | 0 | 0 | 0 | 929 | 0.580988 | 170 | 0.106316 |
0337e71422a570efc9ae28097c6195b11be45c20 | 8,509 | py | Python | tests/executors/multicore_executor_test.py | allenai/tango | 80c90caefae4ad1c3f8472718ddada912cd8fcf9 | [
"Apache-2.0"
] | 52 | 2021-09-24T17:52:34.000Z | 2022-03-29T22:55:02.000Z | tests/executors/multicore_executor_test.py | allenai/tango | 80c90caefae4ad1c3f8472718ddada912cd8fcf9 | [
"Apache-2.0"
] | 90 | 2021-09-29T04:23:29.000Z | 2022-03-31T21:23:02.000Z | tests/executors/multicore_executor_test.py | allenai/tango | 80c90caefae4ad1c3f8472718ddada912cd8fcf9 | [
"Apache-2.0"
] | 8 | 2021-11-13T01:56:22.000Z | 2022-02-27T03:29:42.000Z | import time
import pytest
from tango.common.logging import initialize_logging
from tango.common.testing import TangoTestCase
from tango.executors.multicore_executor import MulticoreExecutor
from tango.step_graph import StepGraph
from tango.workspaces import LocalWorkspace
from test_fixtures.package.steps import Sleep... | 35.161157 | 92 | 0.497943 | 8,171 | 0.960277 | 0 | 0 | 4,284 | 0.503467 | 0 | 0 | 1,748 | 0.20543 |
033938e07676961c14e3b120f246c45a2d3f66be | 1,051 | py | Python | facerecognition.py | Srijani-Chakroborty/Face-Recognition-System | 60b1ef10bd724ddcd5d9e35ec5639ae73917047c | [
"MIT"
] | 1 | 2022-02-27T18:34:57.000Z | 2022-02-27T18:34:57.000Z | facerecognition.py | Srijani-Chakroborty/Face-Recognition-System | 60b1ef10bd724ddcd5d9e35ec5639ae73917047c | [
"MIT"
] | null | null | null | facerecognition.py | Srijani-Chakroborty/Face-Recognition-System | 60b1ef10bd724ddcd5d9e35ec5639ae73917047c | [
"MIT"
] | null | null | null | import cv2
import numpy as np
face_classifier=cv2.CascadeClassifier('HaarCascade/haarcascade_frontalface_default.xml')
def face_extractor(img):
gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
faces=face_classifier.detectMultiScale(gray,1.3,5)
if faces is():
return None
for(x,y,w,h) in face... | 30.911765 | 89 | 0.656518 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 129 | 0.12274 |
033ac5b42cb933ad3ddd01f9391bd47273e14726 | 8,611 | py | Python | examples/inference/python/test/ls_quant_gpt2.py | hexisyztem/lightseq | 25265dabaaee42ee9e7b7ec43c8c04fb90292733 | [
"Apache-2.0"
] | 106 | 2019-12-06T09:02:58.000Z | 2020-09-09T07:12:21.000Z | examples/inference/python/test/ls_quant_gpt2.py | hexisyztem/lightseq | 25265dabaaee42ee9e7b7ec43c8c04fb90292733 | [
"Apache-2.0"
] | null | null | null | examples/inference/python/test/ls_quant_gpt2.py | hexisyztem/lightseq | 25265dabaaee42ee9e7b7ec43c8c04fb90292733 | [
"Apache-2.0"
] | 15 | 2019-12-09T05:44:28.000Z | 2020-09-04T03:43:56.000Z | import time
import torch
from torch import nn
from transformers import GPT2Tokenizer, GPT2LMHeadModel, GPT2Config
import lightseq.inference as lsi
from lightseq.training.ops.pytorch.quantization import (
qat_mode,
QuantLinear,
TensorQuantizer,
weight_quant_config,
)
from lightseq.training.ops.pytorch.t... | 34.170635 | 152 | 0.676344 | 840 | 0.09755 | 0 | 0 | 0 | 0 | 0 | 0 | 1,616 | 0.187667 |
033bef35de4a5d1c411f88cd89ce77dc04b26d5f | 1,748 | py | Python | src/toil/server/wsgi_app.py | PolusAI/toil | a98acdb5cbe0f850b2c11403d147577d9971f4e1 | [
"Apache-2.0"
] | 516 | 2015-07-30T19:08:55.000Z | 2018-07-03T20:53:42.000Z | src/toil/server/wsgi_app.py | PolusAI/toil | a98acdb5cbe0f850b2c11403d147577d9971f4e1 | [
"Apache-2.0"
] | 1,949 | 2015-07-29T23:38:49.000Z | 2018-07-05T12:42:04.000Z | src/toil/server/wsgi_app.py | gmloose/toil | a82834073b28f66747c5c3ac99d1a678b82d2290 | [
"Apache-2.0"
] | 193 | 2015-07-31T18:52:57.000Z | 2018-07-05T08:54:11.000Z | # Copyright (C) 2015-2021 Regents of the University of California
#
# 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 app... | 34.27451 | 78 | 0.676201 | 854 | 0.488558 | 0 | 0 | 0 | 0 | 0 | 0 | 973 | 0.556636 |
033c4e6e47b886b0874ca7cd97804e2f650bcb80 | 623 | py | Python | algorithms/153. Find Minimum in Rotated Sorted Array.py | vuzway9132/leetcode | e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf | [
"MIT"
] | 1 | 2020-12-02T13:54:30.000Z | 2020-12-02T13:54:30.000Z | algorithms/153. Find Minimum in Rotated Sorted Array.py | vuzway9132/leetcode | e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf | [
"MIT"
] | null | null | null | algorithms/153. Find Minimum in Rotated Sorted Array.py | vuzway9132/leetcode | e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf | [
"MIT"
] | null | null | null | """
1. Clarification
2. Possible solutions
- Cheat
- Binary search II
3. Coding
4. Tests
"""
# T=O(n), S=O(1)
class Solution:
def findMin(self, nums: List[int]) -> int:
if not nums: return int(-inf)
return min(nums)
# T=O(lgn), S=O(1)
class Solution:
def findMin(self, nums: List[int]... | 20.766667 | 46 | 0.507223 | 480 | 0.770465 | 0 | 0 | 0 | 0 | 0 | 0 | 134 | 0.215088 |
033cec1f9ccce81f5733fb9f495e2a48d763be85 | 1,766 | py | Python | Web/gRPC/python_practical_example/quote_service/test_cowsay_client.py | MasuqaT-NET/BlogSamples | b424b51e1c01e65f952099cfd1fa05f9ef405432 | [
"MIT"
] | 18 | 2018-01-03T23:07:26.000Z | 2021-12-30T11:44:43.000Z | Web/gRPC/python_practical_example/quote_service/test_cowsay_client.py | MasuqaT-NET/BlogSamples | b424b51e1c01e65f952099cfd1fa05f9ef405432 | [
"MIT"
] | null | null | null | Web/gRPC/python_practical_example/quote_service/test_cowsay_client.py | MasuqaT-NET/BlogSamples | b424b51e1c01e65f952099cfd1fa05f9ef405432 | [
"MIT"
] | 6 | 2018-08-09T05:17:13.000Z | 2020-05-07T09:45:33.000Z | import time
from unittest import TestCase
import grpc_testing
from grpc import StatusCode
from grpc.framework.foundation import logging_pool
from cowsay_client import CowsayClient
from cowsay_pb2 import DESCRIPTOR as COWSAY_DESCRIPTOR, QuoteRequest, QuoteResponse
from cowsay_pb2_grpc import CowsayStub
target_service... | 36.791667 | 116 | 0.725934 | 1,395 | 0.789921 | 0 | 0 | 0 | 0 | 0 | 0 | 73 | 0.041336 |
033e5296d7002695cb78ba70091a41d8f1afe514 | 102 | py | Python | tests/files/build_flask.py | microservice-tools/pixis | ce5a1ecc70732677518d21a0e876440af1245eac | [
"MIT"
] | null | null | null | tests/files/build_flask.py | microservice-tools/pixis | ce5a1ecc70732677518d21a0e876440af1245eac | [
"MIT"
] | 21 | 2018-04-25T19:07:41.000Z | 2018-07-18T06:04:56.000Z | tests/files/build_flask.py | microservice-tools/pixis | ce5a1ecc70732677518d21a0e876440af1245eac | [
"MIT"
] | 1 | 2018-04-23T14:44:00.000Z | 2018-04-23T14:44:00.000Z | SPEC = 'swagger.yaml'
IMPLEMENTATION = 'flask'
OUTPUT = 'build'
FLASK_SERVER_NAME = 'my_flask_server'
| 20.4 | 37 | 0.754902 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 0.441176 |
033f1ce15dd3f5451ab5ea5f76d26c2940fd06fc | 4,792 | py | Python | test/test_cells_shapes_api.py | aspose-cells-cloud/aspose-cells-cloud-python | 0189236d38053dc67f7edc754b5101f17262cee8 | [
"MIT"
] | 3 | 2018-05-23T03:16:26.000Z | 2020-11-07T11:42:41.000Z | test/test_cells_shapes_api.py | aspose-cells-cloud/aspose-cells-cloud-python | 0189236d38053dc67f7edc754b5101f17262cee8 | [
"MIT"
] | null | null | null | test/test_cells_shapes_api.py | aspose-cells-cloud/aspose-cells-cloud-python | 0189236d38053dc67f7edc754b5101f17262cee8 | [
"MIT"
] | 4 | 2018-08-29T18:45:05.000Z | 2021-03-25T07:59:56.000Z | # coding: utf-8
"""
Web API Swagger specification
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: 1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import ... | 31.946667 | 229 | 0.654215 | 4,070 | 0.849332 | 0 | 0 | 0 | 0 | 0 | 0 | 1,170 | 0.244157 |
033fc0bc9f7f7d57ad5f5faa0ac4b814d9cbec49 | 4,088 | py | Python | source/device_manager/script.py | ElsevierSoftwareX/SOFTX-D-21-00051 | 7ae5ad60971129286e2ee452a797c26810a9cb0f | [
"MIT"
] | null | null | null | source/device_manager/script.py | ElsevierSoftwareX/SOFTX-D-21-00051 | 7ae5ad60971129286e2ee452a797c26810a9cb0f | [
"MIT"
] | null | null | null | source/device_manager/script.py | ElsevierSoftwareX/SOFTX-D-21-00051 | 7ae5ad60971129286e2ee452a797c26810a9cb0f | [
"MIT"
] | null | null | null | from dataclasses import dataclass
from typing import List
from source.device_manager.database import get_database_connection,release_database_connection
@dataclass
class ScriptInfo:
id: int
name: str
fileName: str
user: int
@dataclass
class Script:
id: int
name: str
fileName: str
use... | 31.206107 | 94 | 0.589775 | 160 | 0.039139 | 0 | 0 | 182 | 0.044521 | 0 | 0 | 845 | 0.206703 |
03401c816f8f4430f92c4b87cef1da6e317a54e9 | 5,140 | py | Python | scripts/alpha_diversity_stats.py | dcdanko/MetaSUB_CAP | db5672b0206afb3ffe3204b0577a4a5f84b9bcd4 | [
"MIT"
] | 20 | 2017-11-02T13:36:16.000Z | 2021-07-23T12:44:28.000Z | scripts/alpha_diversity_stats.py | dcdanko/MetaSUB_CAP | db5672b0206afb3ffe3204b0577a4a5f84b9bcd4 | [
"MIT"
] | 30 | 2018-02-22T18:25:02.000Z | 2019-11-06T15:03:34.000Z | scripts/alpha_diversity_stats.py | dcdanko/MetaSUB_CAP | db5672b0206afb3ffe3204b0577a4a5f84b9bcd4 | [
"MIT"
] | 9 | 2018-04-26T22:12:08.000Z | 2020-08-06T01:04:54.000Z | #! /usr/bin/env python3
import sys
import math
import argparse as ap
from json import dumps as jdumps
from random import choices
class LevelNotFoundException(Exception):
pass
def checkLevel(taxon, level):
if level == 'species':
return ('s__' in taxon) and ('t__' not in taxon)
elif level == 'gen... | 26.091371 | 78 | 0.510506 | 2,276 | 0.442802 | 0 | 0 | 217 | 0.042218 | 0 | 0 | 534 | 0.103891 |
0343d8a19a30189bafdda72fb63bd75d656dfc89 | 1,061 | py | Python | image_collection/migrations/0004_auto_20160113_0458.py | bitmazk/django-image-collection | 73b05ff825d74bdab64609b531d5305f9332b702 | [
"MIT"
] | null | null | null | image_collection/migrations/0004_auto_20160113_0458.py | bitmazk/django-image-collection | 73b05ff825d74bdab64609b531d5305f9332b702 | [
"MIT"
] | null | null | null | image_collection/migrations/0004_auto_20160113_0458.py | bitmazk/django-image-collection | 73b05ff825d74bdab64609b531d5305f9332b702 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import image_collection.models
class Migration(migrations.Migration):
dependencies = [
('image_collection', '0003_auto_20160113_0445'),
]
operations = [
migrations.RemoveField(
... | 33.15625 | 193 | 0.629595 | 921 | 0.868049 | 0 | 0 | 0 | 0 | 0 | 0 | 340 | 0.320452 |
0344447ad9ea2ba9e5f78647ef0e90f1b7786110 | 7,913 | py | Python | hw1/hollygrimm_behavior_cloner.py | andyk/homework | 6f31240e7b16bb94992a87fc764839591bd034af | [
"MIT"
] | null | null | null | hw1/hollygrimm_behavior_cloner.py | andyk/homework | 6f31240e7b16bb94992a87fc764839591bd034af | [
"MIT"
] | null | null | null | hw1/hollygrimm_behavior_cloner.py | andyk/homework | 6f31240e7b16bb94992a87fc764839591bd034af | [
"MIT"
] | null | null | null | # Copying Holly Grimm's solution https://github.com/hollygrimm/cs294-homework/blob/master/hw1/bc.py
# Copy and pasting and merging it into a copy of my behavior_cloner.py code.
import argparse
import pickle
import os
import sys
import tensorflow.compat.v1 as tf
import numpy as np
from sklearn.model_selection import tr... | 41.429319 | 121 | 0.647289 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,550 | 0.322255 |
03470a7c37dd728524a1ea76f0cbdccac1e546fa | 4,397 | py | Python | tree/generate.py | xi-studio/DiscreteNN | 85468da14bddfe4cbe2e07071454cdbc52ef915f | [
"MIT"
] | 1 | 2019-08-15T09:43:21.000Z | 2019-08-15T09:43:21.000Z | tree/generate.py | xi-studio/DiscreteNN | 85468da14bddfe4cbe2e07071454cdbc52ef915f | [
"MIT"
] | null | null | null | tree/generate.py | xi-studio/DiscreteNN | 85468da14bddfe4cbe2e07071454cdbc52ef915f | [
"MIT"
] | null | null | null | from __future__ import print_function
import argparse
import torch
import torch.utils.data
from torch import nn, optim
from torch.nn import functional as F
from torchvision import datasets, transforms
from torchvision.utils import save_image
import numpy as np
parser = argparse.ArgumentParser(description='VAE MNIST ... | 28.185897 | 83 | 0.56766 | 1,838 | 0.418012 | 0 | 0 | 0 | 0 | 0 | 0 | 661 | 0.15033 |
0347e93cbe7693fc7a1ee576744efea58d5d82da | 4,760 | py | Python | wepy/io/yahoo.py | Jul13/wepy | 3f6acc7ecb4c9bcadf366d7ed1752660838d9dd7 | [
"Apache-2.0"
] | null | null | null | wepy/io/yahoo.py | Jul13/wepy | 3f6acc7ecb4c9bcadf366d7ed1752660838d9dd7 | [
"Apache-2.0"
] | null | null | null | wepy/io/yahoo.py | Jul13/wepy | 3f6acc7ecb4c9bcadf366d7ed1752660838d9dd7 | [
"Apache-2.0"
] | null | null | null | # Author: Gheorghe Postelnicu
from datetime import date
import pandas as pd
from io import BytesIO
from urllib.request import urlopen
class Yahoo(object):
# Taken from http://www.jarloo.com/yahoo_finance/
yahoo_query_params = {
'ticker': 's',
'average_daily_volume': 'a2',
'dividend_yie... | 36.335878 | 112 | 0.563655 | 4,623 | 0.971218 | 633 | 0.132983 | 1,032 | 0.216807 | 0 | 0 | 1,456 | 0.305882 |
0348bfc3aede7a83ba1e69a06410cf061126d983 | 1,192 | py | Python | corehq/apps/sms/migrations/0002_add_selfregistrationinvitation.py | dimagilg/commcare-hq | ea1786238eae556bb7f1cbd8d2460171af1b619c | [
"BSD-3-Clause"
] | 471 | 2015-01-10T02:55:01.000Z | 2022-03-29T18:07:18.000Z | corehq/apps/sms/migrations/0002_add_selfregistrationinvitation.py | dimagilg/commcare-hq | ea1786238eae556bb7f1cbd8d2460171af1b619c | [
"BSD-3-Clause"
] | 14,354 | 2015-01-01T07:38:23.000Z | 2022-03-31T20:55:14.000Z | corehq/apps/sms/migrations/0002_add_selfregistrationinvitation.py | dimagilg/commcare-hq | ea1786238eae556bb7f1cbd8d2460171af1b619c | [
"BSD-3-Clause"
] | 175 | 2015-01-06T07:16:47.000Z | 2022-03-29T13:27:01.000Z | from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('sms', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='SelfRegistrationInvitation',
fields=[
('id', models.AutoField(verbose_name='ID'... | 39.733333 | 129 | 0.567114 | 1,148 | 0.963087 | 0 | 0 | 0 | 0 | 0 | 0 | 193 | 0.161913 |
0349c26375f078381cec8ba16ba182742669965f | 397 | py | Python | tests/data_elements/test_person_name.py | GalBenZvi/dicom_parser | fc3e892ebf99c4e5d62cb5e7de7df341baf445fe | [
"MIT"
] | 11 | 2020-08-08T21:41:54.000Z | 2021-07-27T12:48:31.000Z | tests/data_elements/test_person_name.py | GalBenZvi/dicom_parser | fc3e892ebf99c4e5d62cb5e7de7df341baf445fe | [
"MIT"
] | 45 | 2020-03-03T14:32:16.000Z | 2021-07-30T16:42:17.000Z | tests/data_elements/test_person_name.py | GalBenZvi/dicom_parser | fc3e892ebf99c4e5d62cb5e7de7df341baf445fe | [
"MIT"
] | 6 | 2021-10-19T09:19:22.000Z | 2022-03-13T19:26:10.000Z | """
Definition of the :class:`PersonNameTestCase` class.
"""
from dicom_parser.data_elements.person_name import PersonName
from tests.test_data_element import DataElementTestCase
class PersonNameTestCase(DataElementTestCase):
"""
Tests for the
:class:`~dicom_parser.data_elements.person_name.PersonName`
... | 23.352941 | 63 | 0.755668 | 215 | 0.541562 | 0 | 0 | 0 | 0 | 0 | 0 | 177 | 0.445844 |
034a4ded8103d6d6dff5e4e2de1713b5fd8b65e6 | 1,627 | py | Python | physalia/fixtures/models.py | luiscruz/physalia | 364951d94e02b60092785db46a8c7a7299ffe2a4 | [
"MIT"
] | 13 | 2017-02-14T10:35:43.000Z | 2021-12-11T17:33:36.000Z | physalia/fixtures/models.py | luiscruz/physalia | 364951d94e02b60092785db46a8c7a7299ffe2a4 | [
"MIT"
] | 3 | 2020-02-27T12:07:21.000Z | 2021-07-25T12:52:36.000Z | physalia/fixtures/models.py | luiscruz/physalia | 364951d94e02b60092785db46a8c7a7299ffe2a4 | [
"MIT"
] | 3 | 2019-10-06T14:01:58.000Z | 2020-03-13T15:40:30.000Z | """Fixtures for models module."""
from physalia.models import Measurement
import numpy
def create_measurement(use_case='login',
app_pkg='com.package',
duration=2,
energy_consumption=30):
"""Fake data for measurement."""
return Measurement(
... | 33.204082 | 70 | 0.543331 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 329 | 0.202213 |
034a6ddc353111fc7c294d34a5c01f3d0f1260d3 | 1,621 | py | Python | DL_Models/tf_models/Xception/Xception.py | Zensho/CS91-Proj | 876d5e977800af42382f8c6398eb62ccff202497 | [
"MIT"
] | null | null | null | DL_Models/tf_models/Xception/Xception.py | Zensho/CS91-Proj | 876d5e977800af42382f8c6398eb62ccff202497 | [
"MIT"
] | null | null | null | DL_Models/tf_models/Xception/Xception.py | Zensho/CS91-Proj | 876d5e977800af42382f8c6398eb62ccff202497 | [
"MIT"
] | 1 | 2022-03-09T14:18:37.000Z | 2022-03-09T14:18:37.000Z | import tensorflow as tf
from config import config
from utils.utils import *
import logging
from DL_Models.tf_models.ConvNet import ConvNet
class XCEPTION(ConvNet):
"""
The Xception architecture. This is inspired by Xception paper, which describes how 'extreme' convolutions can be represented
as separable ... | 60.037037 | 164 | 0.732264 | 1,480 | 0.913017 | 0 | 0 | 0 | 0 | 0 | 0 | 574 | 0.354102 |
034fd7638dab87452398628fd889166df2e7b69c | 909 | py | Python | src/compas_3gs/ui/Rhino/3GS/dev/TGS_settings_cmd.py | BlockResearchGroup/compas_3gs | 66bd1545ce0f0034bd629753da9b8cd45fff6abd | [
"MIT"
] | 9 | 2020-04-29T03:21:45.000Z | 2022-01-23T02:54:27.000Z | src/compas_3gs/ui/Rhino/3GS/dev/TGS_settings_cmd.py | BlockResearchGroup/compas_3gs | 66bd1545ce0f0034bd629753da9b8cd45fff6abd | [
"MIT"
] | 8 | 2020-01-30T15:17:17.000Z | 2021-09-28T16:56:42.000Z | src/compas_3gs/ui/Rhino/3GS/dev/TGS_settings_cmd.py | BlockResearchGroup/compas_3gs | 66bd1545ce0f0034bd629753da9b8cd45fff6abd | [
"MIT"
] | 5 | 2020-03-31T12:53:29.000Z | 2020-12-07T21:57:50.000Z | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import scriptcontext as sc
import compas_rhino
from compas_3gs.rhino import SettingsForm
from compas_3gs.rhino import ForceVolMeshObject
from compas_3gs.rhino import FormNetworkObject
__commandname__ = "TGS... | 23.921053 | 124 | 0.624862 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 256 | 0.281628 |
0354caf01e13d2c8ffb045f382e909588ad189a5 | 786 | py | Python | setup.py | rrosajp/xdcc | e8ffa143cd48745824d077a686bfc0b3f0af6193 | [
"MIT"
] | 7 | 2020-06-03T06:24:23.000Z | 2022-03-09T13:00:54.000Z | setup.py | thiagotps/xdcc | e8ffa143cd48745824d077a686bfc0b3f0af6193 | [
"MIT"
] | 3 | 2020-09-26T12:52:43.000Z | 2022-01-22T23:17:19.000Z | setup.py | rrosajp/xdcc | e8ffa143cd48745824d077a686bfc0b3f0af6193 | [
"MIT"
] | 4 | 2020-09-26T01:17:00.000Z | 2022-02-06T19:22:04.000Z | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="xdcc",
version="0.0.3",
author="Thiago T. P. Silva",
author_email="[email protected]",
description="A simple XDCC downloader written in python3",
long_description=long_descrip... | 30.230769 | 66 | 0.661578 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 347 | 0.441476 |
035543c446ab93f942c4299a0b653ef67467158d | 9,319 | py | Python | draw-tsp-path.py | wenderlemes/gcc218_trabalho_pratico | e57aab3c1ebcbe92683052994de646d0f76e8eb8 | [
"Apache-2.0",
"CC-BY-4.0",
"MIT"
] | null | null | null | draw-tsp-path.py | wenderlemes/gcc218_trabalho_pratico | e57aab3c1ebcbe92683052994de646d0f76e8eb8 | [
"Apache-2.0",
"CC-BY-4.0",
"MIT"
] | null | null | null | draw-tsp-path.py | wenderlemes/gcc218_trabalho_pratico | e57aab3c1ebcbe92683052994de646d0f76e8eb8 | [
"Apache-2.0",
"CC-BY-4.0",
"MIT"
] | null | null | null | """Modified code from https://developers.google.com/optimization/routing/tsp#or-tools """
# Copyright Matthew Mack (c) 2020 under CC-BY 4.0: https://creativecommons.org/licenses/by/4.0/
from __future__ import print_function
import math
from ortools.constraint_solver import routing_enums_pb2
from ortools.constraint_sol... | 36.402344 | 111 | 0.65962 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,129 | 0.228458 |
0355954797eb9e1fe29d671274bf1dbde8b9e917 | 1,162 | py | Python | tests/test_billing.py | payload-code/payload-python | d7c07c679781021ff6e27c13feae22dec0f7c1bc | [
"MIT"
] | 5 | 2020-07-11T14:07:53.000Z | 2021-10-30T20:05:14.000Z | tests/test_billing.py | payload-code/payload-python | d7c07c679781021ff6e27c13feae22dec0f7c1bc | [
"MIT"
] | 5 | 2019-12-21T17:46:09.000Z | 2021-08-14T16:26:39.000Z | tests/test_billing.py | payload-code/payload-python | d7c07c679781021ff6e27c13feae22dec0f7c1bc | [
"MIT"
] | 2 | 2019-09-16T07:32:07.000Z | 2021-01-07T11:42:42.000Z | import pytest
import payload as pl
from .fixtures import Fixtures
@pytest.fixture()
def billing_schedule(processing_account, customer_account):
billing_schedule = pl.BillingSchedule.create(
start_date="2019-01-01",
end_date="2019-12-31",
recurring_frequency="monthly",
type="subsc... | 29.794872 | 70 | 0.722892 | 643 | 0.553356 | 0 | 0 | 445 | 0.38296 | 0 | 0 | 79 | 0.067986 |
0356a1edf61d31074a4a2069b0d6dd1a80c5ea43 | 5,415 | py | Python | planners/simple.py | vincekurtz/quadruped_drake | 0fed14eeb7ba33144ab740bc9afa412398f70b7e | [
"MIT"
] | 9 | 2020-09-24T19:40:49.000Z | 2022-03-23T17:24:53.000Z | planners/simple.py | vincekurtz/quadruped_drake | 0fed14eeb7ba33144ab740bc9afa412398f70b7e | [
"MIT"
] | 1 | 2022-03-15T18:42:44.000Z | 2022-03-21T14:43:34.000Z | planners/simple.py | vincekurtz/quadruped_drake | 0fed14eeb7ba33144ab740bc9afa412398f70b7e | [
"MIT"
] | 1 | 2021-03-30T00:06:20.000Z | 2021-03-30T00:06:20.000Z | import numpy as np
from pydrake.all import *
class BasicTrunkPlanner(LeafSystem):
"""
Implements the simplest possible trunk-model planner, which generates
desired positions, velocities, and accelerations for the feet, center-of-mass,
and body frame orientation.
"""
def __init__(self, frame_id... | 38.678571 | 97 | 0.597599 | 5,368 | 0.99132 | 0 | 0 | 0 | 0 | 0 | 0 | 2,142 | 0.395568 |
0357185cdbc8f0ba6e573ad391b048407dabd43e | 1,027 | py | Python | script/shaderutil.py | xzfn/toy | 5d4f6e631c662634a059a4a178174032b01cc81a | [
"MIT"
] | null | null | null | script/shaderutil.py | xzfn/toy | 5d4f6e631c662634a059a4a178174032b01cc81a | [
"MIT"
] | null | null | null | script/shaderutil.py | xzfn/toy | 5d4f6e631c662634a059a4a178174032b01cc81a | [
"MIT"
] | null | null | null |
import os
import shadercompiler
def spv_folder_to_glsl_folder(spv_folder):
return os.path.join(spv_folder, '../../toy/shader')
def glsl_from_spv(spv):
spv_folder, spv_name = os.path.split(spv)
glsl_folder = spv_folder_to_glsl_folder(spv_folder)
glsl_name = spv_name[:-4] + '.glsl'
glsl = os.path.... | 31.121212 | 65 | 0.666991 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0.044791 |
0358f73562d2122131efd6aa840de358e08667b3 | 4,060 | py | Python | accounting/migrations/0001_initial.py | bobjiangps/django-blog | 6afd36fa96c5a027546575b362b0a481c5d7c1a5 | [
"MIT"
] | 3 | 2019-10-25T13:08:04.000Z | 2020-01-05T11:29:18.000Z | accounting/migrations/0001_initial.py | bobjiangps/django-blog | 6afd36fa96c5a027546575b362b0a481c5d7c1a5 | [
"MIT"
] | 9 | 2020-05-10T10:13:56.000Z | 2022-03-11T23:33:52.000Z | accounting/migrations/0001_initial.py | bobjiangps/django-blog | 6afd36fa96c5a027546575b362b0a481c5d7c1a5 | [
"MIT"
] | 3 | 2019-02-11T02:55:51.000Z | 2020-01-05T11:29:20.000Z | # Generated by Django 2.2.13 on 2021-01-22 17:41
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Account'... | 45.617978 | 150 | 0.57069 | 3,912 | 0.961652 | 0 | 0 | 0 | 0 | 0 | 0 | 646 | 0.1588 |
035a2fb7d90dd4fec6b4d13bde7778a72b148576 | 373 | py | Python | acess phone.py | Soosai007/Python-projects- | 3cd61e7019a77ccf46a7805827bef2ac6371af3a | [
"MIT"
] | null | null | null | acess phone.py | Soosai007/Python-projects- | 3cd61e7019a77ccf46a7805827bef2ac6371af3a | [
"MIT"
] | null | null | null | acess phone.py | Soosai007/Python-projects- | 3cd61e7019a77ccf46a7805827bef2ac6371af3a | [
"MIT"
] | null | null | null | import urllib.request
import cv2
import numpy as np
import time
URL = "http://192.168.1.3:8080/shot.jpg"
while True:
img_arr = np.array(bytearray(urllib.request.urlopen(URL).read()),dtype=np.uint8)
img = cv2.imdecode(img_arr,-1)
cv2.imshow('IPWebcam',img)
q = cv2.waitKey(1)
if q == ord("q"... | 23.3125 | 85 | 0.632708 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0.126005 |
035a72cf11a14ddfaed1b39b4cd2c2f14c4da51e | 2,046 | py | Python | GeneralizeDEMConsole.py | tsamsonov/generalize-dem | 4e180944cd3488654240d47464cf8a0b8a7bc640 | [
"Python-2.0",
"OLDAP-2.7"
] | 16 | 2017-07-10T15:28:41.000Z | 2021-12-30T16:25:06.000Z | GeneralizeDEMConsole.py | tsamsonov/Small-Scale-Terrain-Generalization | 4e180944cd3488654240d47464cf8a0b8a7bc640 | [
"Python-2.0",
"OLDAP-2.7"
] | 4 | 2017-07-17T13:35:25.000Z | 2019-12-02T20:15:28.000Z | GeneralizeDEMConsole.py | tsamsonov/generalize-dem | 4e180944cd3488654240d47464cf8a0b8a7bc640 | [
"Python-2.0",
"OLDAP-2.7"
] | null | null | null | import sys
import time
import arcpy
import traceback
import GeneralizeDEM
if __name__ == '__main__':
# SET PARAMETERS HERE
# --------------------------------------------------------------------
demdataset = 'X:/Work/Scripts & Tools/MY/DEMGEN/mistral'
marine = 'X:/Work/Scripts & Tools/MY/DEMGEN/DEMGENE... | 31.476923 | 79 | 0.540078 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 601 | 0.293744 |
035bef3fbb61b8fe7c70ea62e4f07f8bb9692def | 559 | py | Python | lang/jquery_python/read/json_python_read.py | ekzemplaro/data_base_language | e77030367ffc595f1fac8583f03f9a3ce5eb1611 | [
"MIT",
"Unlicense"
] | 3 | 2015-05-12T16:44:27.000Z | 2021-02-09T00:39:24.000Z | lang/jquery_python/read/json_python_read.py | ekzemplaro/data_base_language | e77030367ffc595f1fac8583f03f9a3ce5eb1611 | [
"MIT",
"Unlicense"
] | null | null | null | lang/jquery_python/read/json_python_read.py | ekzemplaro/data_base_language | e77030367ffc595f1fac8583f03f9a3ce5eb1611 | [
"MIT",
"Unlicense"
] | null | null | null | #! /usr/bin/python3
# -*- coding: utf-8 -*-
#
# json_python_read.py
#
# Jul/25/2014
#
# ---------------------------------------------------------------------
import sys
sys.path.append ("/var/www/data_base/common/python_common")
#
from file_io import file_to_str_proc
#
# --------------------------------------------... | 23.291667 | 71 | 0.429338 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 399 | 0.713775 |
035c76dc73552701e77d5f647636dafc183b09c4 | 534 | py | Python | reports/migrations/0097_auto_20171006_0951.py | CMU-TRP/podd-api | 6eb5c4598f848f75d131287163cd9babf2a0a0fc | [
"MIT"
] | 3 | 2020-04-26T06:28:50.000Z | 2021-04-05T08:02:26.000Z | reports/migrations/0097_auto_20171006_0951.py | CMU-TRP/podd-api | 6eb5c4598f848f75d131287163cd9babf2a0a0fc | [
"MIT"
] | 10 | 2020-06-05T17:36:10.000Z | 2022-03-11T23:16:42.000Z | reports/migrations/0097_auto_20171006_0951.py | CMU-TRP/podd-api | 6eb5c4598f848f75d131287163cd9babf2a0a0fc | [
"MIT"
] | 5 | 2021-04-08T08:43:49.000Z | 2021-11-27T06:36:46.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('reports', '0096_auto_20170920_1521'),
]
operations = [
migrations.AlterField(
model_name='reporttype',
... | 25.428571 | 130 | 0.644195 | 425 | 0.79588 | 0 | 0 | 0 | 0 | 0 | 0 | 149 | 0.279026 |
035ca68338c7107344756496893369eeae016a6c | 513 | py | Python | server/functions/calcdistance.py | yrpmsg/SCSV15 | bbe953d676c082f4a30c4d5e0e0cbfcc624d969c | [
"Apache-2.0"
] | null | null | null | server/functions/calcdistance.py | yrpmsg/SCSV15 | bbe953d676c082f4a30c4d5e0e0cbfcc624d969c | [
"Apache-2.0"
] | null | null | null | server/functions/calcdistance.py | yrpmsg/SCSV15 | bbe953d676c082f4a30c4d5e0e0cbfcc624d969c | [
"Apache-2.0"
] | null | null | null | from math import radians, cos, sin, asin, sqrt, floor, pow
import math
lat1 = 11.00461011
lon1 = 76.95691543
lat2 = 11.0070471
lon2 = 76.96110704
lon1 = radians(lon1)
lon2 = radians(lon2)
lat1 = radians(lat1)
lat2 = radians(lat2)
# Haversine formula
dlon = lon2 - lon1
dlat = lat2 - lat1
a = sin(... | 19 | 63 | 0.62768 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 96 | 0.187135 |
035cf0e95ad473da5f8cd509f8390672c271dc26 | 3,106 | py | Python | xmppserver/xmpp/mechanisms.py | ovekaaven/django-xmpp-server | aa391173b4cdfc98e2f6de29d24aa4273b3620c3 | [
"MIT"
] | null | null | null | xmppserver/xmpp/mechanisms.py | ovekaaven/django-xmpp-server | aa391173b4cdfc98e2f6de29d24aa4273b3620c3 | [
"MIT"
] | null | null | null | xmppserver/xmpp/mechanisms.py | ovekaaven/django-xmpp-server | aa391173b4cdfc98e2f6de29d24aa4273b3620c3 | [
"MIT"
] | null | null | null | from slixmpp.exceptions import XMPPError
from ..conf import settings
mechanisms = {}
def sasl_mech():
def register(mech):
mechanisms[mech.name] = mech
return mech
return register
class Mechanism(object):
name = None
def __init__(self, auth):
self.auth = auth
@staticmetho... | 26.775862 | 75 | 0.603348 | 2,673 | 0.860592 | 0 | 0 | 1,903 | 0.612685 | 2,153 | 0.693175 | 318 | 0.102382 |
035fd4e11ff8cdfd3b51151077ef144b5f439568 | 108 | py | Python | Python/basic/django/minimal/echo/views.py | caa06d9c/Python-examples | 9d90b9a9adfc343f9fdfab814cfc2b05219d6920 | [
"MIT"
] | 5 | 2019-10-28T09:56:26.000Z | 2021-09-03T04:51:18.000Z | Python/basic/django/minimal/echo/views.py | caa06d9c/Python-examples | 9d90b9a9adfc343f9fdfab814cfc2b05219d6920 | [
"MIT"
] | null | null | null | Python/basic/django/minimal/echo/views.py | caa06d9c/Python-examples | 9d90b9a9adfc343f9fdfab814cfc2b05219d6920 | [
"MIT"
] | 4 | 2019-10-28T09:56:30.000Z | 2021-09-03T04:51:23.000Z | from django.http import HttpResponse
def index(request):
return HttpResponse(request.get_full_path())
| 18 | 48 | 0.787037 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
03622d2bea5b69bb3cd39b0a8ca6acd8476b6fd0 | 1,258 | py | Python | DatabaseRelated/player.py | CalmingAgent/Pew-Pew-Test | fed527ca7b83dafd1960c2daf4a0e616e56354ca | [
"MIT"
] | null | null | null | DatabaseRelated/player.py | CalmingAgent/Pew-Pew-Test | fed527ca7b83dafd1960c2daf4a0e616e56354ca | [
"MIT"
] | null | null | null | DatabaseRelated/player.py | CalmingAgent/Pew-Pew-Test | fed527ca7b83dafd1960c2daf4a0e616e56354ca | [
"MIT"
] | null | null | null | class Player:
def __init__(self, id, rating=1000, win_count=0, lose_count=0, win_streak=0, best_win_streak=0):
self.id = id
self.rating = rating
self.win_count = win_count
self.lose_count = lose_count
self.win_streak = win_streak
self.best_win_streak = best_win_streak... | 27.347826 | 100 | 0.582671 | 1,257 | 0.999205 | 0 | 0 | 0 | 0 | 0 | 0 | 178 | 0.141494 |
0362625fd6644541d017afd28f886693da68a5e3 | 7,625 | py | Python | arcade/examples/sprite_rotate_tank.py | DragonMoffon/arcade | 98fb1809363ccc537d6852be487aeae0b5fb7fb8 | [
"MIT"
] | null | null | null | arcade/examples/sprite_rotate_tank.py | DragonMoffon/arcade | 98fb1809363ccc537d6852be487aeae0b5fb7fb8 | [
"MIT"
] | null | null | null | arcade/examples/sprite_rotate_tank.py | DragonMoffon/arcade | 98fb1809363ccc537d6852be487aeae0b5fb7fb8 | [
"MIT"
] | null | null | null | """
Sprite Rotation With A Tank.
Vehicles or tower defense turrets can have parts
that can rotate toward targets.
These parts are usually represented with separate sprites
drawn relative to attachment points on the main body.
Because these sprites are usually asymmetrical,
we have to rotate them around
their attachme... | 37.377451 | 106 | 0.610098 | 6,365 | 0.834754 | 0 | 0 | 780 | 0.102295 | 0 | 0 | 2,712 | 0.355672 |
03636efc34bffdf5e5bc02cd6599c5ce0ac214e9 | 4,913 | py | Python | api/modules/github/views.py | prabhakar267/travel-mate-server | 2e0aa7c6ac9963c1ee95bda5966be01293935ded | [
"MIT"
] | 43 | 2018-05-23T10:03:40.000Z | 2021-09-02T15:55:52.000Z | api/modules/github/views.py | prabhakar267/travel-mate-server | 2e0aa7c6ac9963c1ee95bda5966be01293935ded | [
"MIT"
] | 141 | 2018-05-24T16:03:12.000Z | 2021-04-30T23:47:59.000Z | api/modules/github/views.py | prabhakar267/travel-mate-server | 2e0aa7c6ac9963c1ee95bda5966be01293935ded | [
"MIT"
] | 77 | 2018-06-13T13:51:31.000Z | 2021-06-16T16:10:18.000Z | import datetime
import requests
import requests_cache
from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from api.commonresponses import DOWNSTREAM_ERROR_RESPONSE
from api.modules.github import constants
from api.modules.github.github_response... | 36.664179 | 101 | 0.612864 | 0 | 0 | 0 | 0 | 4,470 | 0.909831 | 0 | 0 | 1,015 | 0.206595 |
0363aea6f2b2de0d16d88b97f4debf89e249ba5b | 1,574 | py | Python | pythonfiles/testphone_pythonfiles/test_phone/music/test.py | Huyuxuan-github/wica | f87b22ce4c773ce96b9e583ebcd5bf36469e32c7 | [
"WTFPL"
] | 1 | 2022-03-04T01:03:50.000Z | 2022-03-04T01:03:50.000Z | pythonfiles/testphone_pythonfiles/test_phone/music/test.py | Huyuxuan-github/wica | f87b22ce4c773ce96b9e583ebcd5bf36469e32c7 | [
"WTFPL"
] | null | null | null | pythonfiles/testphone_pythonfiles/test_phone/music/test.py | Huyuxuan-github/wica | f87b22ce4c773ce96b9e583ebcd5bf36469e32c7 | [
"WTFPL"
] | 1 | 2022-03-04T01:03:53.000Z | 2022-03-04T01:03:53.000Z | import os
# import pygame
from mutagen.mp3 import MP3
import time
from classuiui import MyFrame1
import wx
# import thread
import threading
import multiprocessing
from playsound import playsound
from test001 import MyFrame1
# file="cd&&cd music&&cd&&StarSky.mp3"
# os.system(file)
# pygame.mixer.init()
# audio = MP3("... | 21.561644 | 130 | 0.629606 | 617 | 0.378528 | 0 | 0 | 0 | 0 | 0 | 0 | 788 | 0.483436 |
03653eb422190ef08509f026b301a5cf2cb389bc | 787 | py | Python | demo/testout.py | yvr1037/fenghuo-project-of-mmdet | 7d51c087aa36fd39c8e844fbbe15a28e952a22a5 | [
"Apache-2.0"
] | 2 | 2021-12-24T13:22:51.000Z | 2022-01-23T15:36:22.000Z | demo/testout.py | yvr1037/fenghuo-project-of-mmdet | 7d51c087aa36fd39c8e844fbbe15a28e952a22a5 | [
"Apache-2.0"
] | null | null | null | demo/testout.py | yvr1037/fenghuo-project-of-mmdet | 7d51c087aa36fd39c8e844fbbe15a28e952a22a5 | [
"Apache-2.0"
] | null | null | null | import mmcv
import os
import numpy as np
from mmcv.runner import load_checkpoint
from mmdet.models import build_detector
from mmdet.apis import init_detector, inference_detector
import torch
# device = torch.device("cpu")
# os.environ["CUDA_VISIBLE_DEVICES"]=""
# import pdb; pdb.set_trace()
config_file = '../configs/... | 32.791667 | 93 | 0.787802 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 398 | 0.505718 |