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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
596a73d874c9507c224dc7e444e6170e4300daf1 | 1,122 | py | Python | python_gui_tkinter/Tkinter/TkinterCourse/18_entry_wid_2.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python_gui_tkinter/Tkinter/TkinterCourse/18_entry_wid_2.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python_gui_tkinter/Tkinter/TkinterCourse/18_entry_wid_2.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | '''
Okay, we have created Entry fields, so that the user of our program can put in some data. But how can our program access this data? How do we read the content of an Entry?
To put it in a nutshell: The get() method is what we are looking for. We extend our little script by two buttons "Quit" and "Show". We bind the... | 37.4 | 388 | 0.71836 |
55a9bf7b18622ff60f7bce902ab2b4835720ef7a | 2,764 | py | Python | quant/markets/market_origin.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 7 | 2017-10-22T15:00:09.000Z | 2019-09-19T11:45:43.000Z | quant/markets/market_origin.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 1 | 2018-01-19T16:19:40.000Z | 2018-01-19T16:19:40.000Z | quant/markets/market_origin.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 5 | 2017-12-11T15:10:29.000Z | 2018-12-21T17:40:58.000Z | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
import logging
import time
import requests
from quant import config
class Market(object):
def __init__(self, base_currency, market_currency, pair_code, fee_rate):
self._name = None
self.base_currency = base_currency
self.market_currency = ma... | 29.72043 | 98 | 0.568017 |
757f1d7ece944e70d2ab8ce4b5ae6e3d872e2683 | 197 | py | Python | official_examples/Reinforcement_Learning_GameSolution_Examples/coin/env_config.py | RuichunWang/ModelArts-Lab | cfa9a853e3a76a21eac2818f055b36978ac2bb69 | [
"Apache-2.0"
] | 1,045 | 2019-05-09T02:50:43.000Z | 2022-03-31T06:22:11.000Z | official_examples/Reinforcement_Learning_GameSolution_Examples/coin/env_config.py | RuichunWang/ModelArts-Lab | cfa9a853e3a76a21eac2818f055b36978ac2bb69 | [
"Apache-2.0"
] | 1,468 | 2019-05-16T00:48:18.000Z | 2022-03-08T04:12:44.000Z | official_examples/Reinforcement_Learning_GameSolution_Examples/coin/env_config.py | RuichunWang/ModelArts-Lab | cfa9a853e3a76a21eac2818f055b36978ac2bb69 | [
"Apache-2.0"
] | 1,077 | 2019-05-09T02:50:53.000Z | 2022-03-27T11:05:32.000Z | from gym.spaces import Discrete, Tuple, MultiBinary
action_space = {
0: Discrete(2),
1: Discrete(3)}
observation_space = {
0: Discrete(4),
1: Tuple((Discrete(4), MultiBinary(3)))}
| 21.888889 | 51 | 0.654822 |
551c06f1744dabd15f9e37a40a555c94a5037452 | 666 | py | Python | algorithms/sorting/bigger_is_greater.py | PlamenHristov/HackerRank | 2c875995f0d51d7026c5cf92348d9fb94fa509d6 | [
"MIT"
] | null | null | null | algorithms/sorting/bigger_is_greater.py | PlamenHristov/HackerRank | 2c875995f0d51d7026c5cf92348d9fb94fa509d6 | [
"MIT"
] | null | null | null | algorithms/sorting/bigger_is_greater.py | PlamenHristov/HackerRank | 2c875995f0d51d7026c5cf92348d9fb94fa509d6 | [
"MIT"
] | null | null | null | def next_perm(s):
# Find the longest non-increasing suffix
i = len(s) - 1
while i > 0 and s[i - 1] >= s[i]:
i -= 1
if i <= 0:
return None
# Find successor pivot
j = len(s) - 1
while (s[j] <= s[i - 1]):
j -= 1
s[i - 1], s[j] = s[j], s[i - 1]
# Reverse the s... | 15.488372 | 44 | 0.468468 |
b5bcc4fd4367cedf2a22ed3252c6161b2022fc30 | 2,335 | py | Python | Kaggle-Competitions/Santander-Customer-Satisfaction/scripts/blending.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-05-10T09:16:23.000Z | 2019-05-10T09:16:23.000Z | Kaggle-Competitions/Santander-Customer-Satisfaction/scripts/blending.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | null | null | null | Kaggle-Competitions/Santander-Customer-Satisfaction/scripts/blending.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-10-14T07:30:18.000Z | 2019-10-14T07:30:18.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 4 08:38:24 2016
@author: abhishek
"""
from __future__ import division
from sklearn.cross_validation import train_test_split, StratifiedKFold
from sklearn.metrics import roc_auc_score
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import Lo... | 32.430556 | 128 | 0.728051 |
1ff01c6b33e4f6c418c90d76f57072056b9e3c76 | 61 | py | Python | cs/lambda_cs/07_computer_architecture/notes/672/inst_len_beej.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | null | null | null | cs/lambda_cs/07_computer_architecture/notes/672/inst_len_beej.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | 8 | 2020-03-24T17:47:23.000Z | 2022-03-12T00:33:21.000Z | cs/lambda_cs/07_computer_architecture/notes/672/inst_len_beej.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | null | null | null | inst_len = ((ir & 0b11000000) >> 6) + 1 # 3
pc += inst_len
| 20.333333 | 45 | 0.540984 |
2f2f3c911b168324b878aee37092c415bad87f9a | 664 | py | Python | leetcode/populating-next-right-pointers-in-each-node/rightptr.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | 11 | 2019-02-08T06:54:34.000Z | 2021-08-07T18:57:39.000Z | leetcode/populating-next-right-pointers-in-each-node/rightptr.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | 1 | 2019-05-21T08:14:10.000Z | 2019-05-21T08:14:10.000Z | leetcode/populating-next-right-pointers-in-each-node/rightptr.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | null | null | null | # Definition for binary tree with next pointer.
# class TreeLinkNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
# self.next = None
class Solution:
def connect(self, root):
if root is None:
return
level = [root]
... | 27.666667 | 62 | 0.503012 |
85e7aa8a8238a3f8c329ddde35d5fd46f19fd853 | 726 | py | Python | elements/python/6/21/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | 11 | 2019-02-08T06:54:34.000Z | 2021-08-07T18:57:39.000Z | elements/python/6/21/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | 1 | 2019-05-21T08:14:10.000Z | 2019-05-21T08:14:10.000Z | elements/python/6/21/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | null | null | null | def verify_sudoku(S):
rows = [0]*9
cols = [0]*9
blocks = [0]*9
for y, row in enumerate(S):
for x, digit in enumerate(row):
flag = 1 << digit
rows[y] |= flag
cols[x] |= flag
block_idx = (x//3) + 3*(y//3)
blocks[block_idx] |= flag
r... | 19.621622 | 76 | 0.53168 |
9eab02c462a762afc0a3641e37958d5a7de946ed | 2,982 | py | Python | scripts/bittle_driver.py | AIWintermuteAI/bittle_ROS | f4baffba737c0ccdb1a52c221094372167e084ac | [
"MIT"
] | 28 | 2020-11-09T21:21:11.000Z | 2022-01-16T13:52:43.000Z | scripts/bittle_driver.py | AIWintermuteAI/bittle_ROS | f4baffba737c0ccdb1a52c221094372167e084ac | [
"MIT"
] | null | null | null | scripts/bittle_driver.py | AIWintermuteAI/bittle_ROS | f4baffba737c0ccdb1a52c221094372167e084ac | [
"MIT"
] | 5 | 2020-11-09T05:28:47.000Z | 2021-12-14T11:39:40.000Z | #!/usr/bin/env python3
import rospy
import serial
import struct
import sys
import time
import math
from std_msgs.msg import String
from geometry_msgs.msg import Twist
dir_dict = {1:'kwk', -1:'kbk', 2:'kcrR', 3:'kcrL', 0:'kbalance'}
class Driver:
def __init__(self, port='/dev/ttyS0'):
self.dir = 0
... | 32.413043 | 103 | 0.523139 |
c8af0333cb1cd97a063c95aa5a1113da5ad65156 | 948 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v7_1/update_bom_base_currency.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v7_1/update_bom_base_currency.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v7_1/update_bom_base_currency.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | import frappe
from erpnext import get_default_currency
def execute():
frappe.reload_doc("manufacturing", "doctype", "bom")
frappe.reload_doc("manufacturing", "doctype", "bom_item")
frappe.reload_doc("manufacturing", "doctype", "bom_explosion_item")
frappe.reload_doc("manufacturing", "doctype", "bom_operation")
fr... | 47.4 | 99 | 0.743671 |
cda44eccb14e65cd6b6c8d948553bc02cffffe05 | 810 | py | Python | DataStructures/LinkedList/GetNode.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | DataStructures/LinkedList/GetNode.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | DataStructures/LinkedList/GetNode.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | #coding:utf-8
#stupid
def GetNode(head, position):
prev = None
node = head
while node:
temp = node.next
node.next = prev
prev = node
node = temp
cur = node
while position:
cur = cur.next
position -= 1
return cur.data
def GetNode_smart(head, ... | 18.837209 | 44 | 0.539506 |
b59a85e0679ef5e789c65a32dbb7ea8739c59404 | 1,221 | py | Python | Tutorials/Statistics/Binomial_Distribution2.py | vinayvinu500/Hackerrank | e185ae9d3c7dc5cd661761142e436f5df6a3f0f1 | [
"MIT"
] | null | null | null | Tutorials/Statistics/Binomial_Distribution2.py | vinayvinu500/Hackerrank | e185ae9d3c7dc5cd661761142e436f5df6a3f0f1 | [
"MIT"
] | null | null | null | Tutorials/Statistics/Binomial_Distribution2.py | vinayvinu500/Hackerrank | e185ae9d3c7dc5cd661761142e436f5df6a3f0f1 | [
"MIT"
] | null | null | null | #https://www.geeksforgeeks.org/python-binomial-distribution/
#https://www.hackerrank.com/challenges/s10-binomial-distribution-1/tutorial
import sys
import scipy.stats
import matplotlib.pyplot as plt
def fact(x,memo={}):
# factorial of x! = x * (x-1) * (x-2) * ..... 2 * 1
if x in memo:
return memo[x]
... | 20.694915 | 75 | 0.619165 |
a977be85bab7a9e18dcb547d3fcb7133143fe1b7 | 13,784 | py | Python | code/logic/iDog_sm.py | dieterpl/iDogstra | 62ee246763e107335b9caf0a4f96239fa0953234 | [
"MIT"
] | null | null | null | code/logic/iDog_sm.py | dieterpl/iDogstra | 62ee246763e107335b9caf0a4f96239fa0953234 | [
"MIT"
] | null | null | null | code/logic/iDog_sm.py | dieterpl/iDogstra | 62ee246763e107335b9caf0a4f96239fa0953234 | [
"MIT"
] | null | null | null | from logic.statemachine import *
from utils.functions import current_time_millis
from sensors.bluetooth import bluetooth, bluetooth_pipelines
from sensors import pipeline
from sensors.camera import camera, camera_pipelines
from sensors.ultrasonic import ultrasonic_pipelines, ultrasonic
from sensors.infrared import infr... | 38.719101 | 126 | 0.622896 |
279a587bbfa9bde545b575017b785db494f2642d | 117 | py | Python | main.py | Sourabh-Kishore-Sharma/Megahack-DualSpecs | 1b51f141bbab2e99e85eb8e4eb343518c16e57ea | [
"MIT"
] | null | null | null | main.py | Sourabh-Kishore-Sharma/Megahack-DualSpecs | 1b51f141bbab2e99e85eb8e4eb343518c16e57ea | [
"MIT"
] | null | null | null | main.py | Sourabh-Kishore-Sharma/Megahack-DualSpecs | 1b51f141bbab2e99e85eb8e4eb343518c16e57ea | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import os
os.system("./extract.py")
os.system("./transform.py")
os.system("./visualize.py")
| 14.625 | 27 | 0.675214 |
fd8f2fdc448396f3d1132e896279d792fd790bf9 | 2,281 | py | Python | lib/dataset/voc.py | tamasino52/FCN | f904791cf2d3720fbd2e12e1345639fc9af9fc54 | [
"MIT"
] | null | null | null | lib/dataset/voc.py | tamasino52/FCN | f904791cf2d3720fbd2e12e1345639fc9af9fc54 | [
"MIT"
] | null | null | null | lib/dataset/voc.py | tamasino52/FCN | f904791cf2d3720fbd2e12e1345639fc9af9fc54 | [
"MIT"
] | null | null | null | import torch.utils.data.dataset
import torchvision
from torchvision.transforms import transforms
import torchvision.transforms.functional as TF
from tensorboardX import SummaryWriter
import argparse
import os
import pprint
import logging
import json
import _init_paths
import dataset
from tqdm import tqdm
import numpy a... | 21.932692 | 84 | 0.591846 |
fde69d85e013d403e3c31904341db9f8acfdc9c6 | 2,506 | py | Python | test/test_npu/test_network_ops/test_repeat.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | test/test_npu/test_network_ops/test_repeat.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | test/test_npu/test_network_ops/test_repeat.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020, Huawei Technologies.All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD-3-Clause
#
# Unless required by applicable law... | 40.419355 | 74 | 0.565044 |
d045614e2c17d1561b1e1a831d16ee1968c89893 | 359 | py | Python | DataStructures/LinkedList/TailInsert.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | DataStructures/LinkedList/TailInsert.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | DataStructures/LinkedList/TailInsert.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | #coding:utf-8
#stupid
def Insert(head, data):
if head:
node = head
while node.next:
node = node.next
node.next = Node(data)
else:
head = Node(data)
return head
#smart
def Insert(head, data):
node = head
while node.next:
node = node.next
node.... | 16.318182 | 30 | 0.543175 |
d0a14e2cf234ee3e63c43ce6db0df997aec26cc4 | 2,680 | py | Python | base/weixin.py | francisar/wechat | 8932feb4aacc6df27a472e3278780fcdd41bc47c | [
"MIT"
] | null | null | null | base/weixin.py | francisar/wechat | 8932feb4aacc6df27a472e3278780fcdd41bc47c | [
"MIT"
] | null | null | null | base/weixin.py | francisar/wechat | 8932feb4aacc6df27a472e3278780fcdd41bc47c | [
"MIT"
] | null | null | null | #coding=utf-8
import hashlib
from django.http import HttpResponse
from django.views.generic import View
from django.core.exceptions import PermissionDenied
from django.views.decorators.csrf import csrf_protect,csrf_exempt
from bs4 import BeautifulSoup
from wechat.settings import WX_TOKEN,WX_EncodingAESKey,WX_messageCr... | 40 | 120 | 0.658582 |
d0a6e7f469e95cb17a63d0e1bc0201859c6d3521 | 3,087 | py | Python | Contrib-Microsoft/Olympus_rack_manager/python-ocs/commonapi/ocslock.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 5 | 2019-11-11T07:57:26.000Z | 2022-03-28T08:26:53.000Z | Contrib-Microsoft/Olympus_rack_manager/python-ocs/commonapi/ocslock.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 3 | 2019-09-05T21:47:07.000Z | 2019-09-17T18:10:45.000Z | Contrib-Microsoft/Olympus_rack_manager/python-ocs/commonapi/ocslock.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 11 | 2019-07-20T00:16:32.000Z | 2022-01-11T14:17:48.000Z | # Copyright (C) Microsoft Corporation. All rights reserved.
# 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
# of the License, or (at your option) any later version.
import ocs... | 27.810811 | 85 | 0.589569 |
ef8fe8ef79b93e95de904a03595f7675d1d24189 | 10,604 | py | Python | python/en/archive/dropbox/setting_fonts/matplotlib-setting_korean_font.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/dropbox/setting_fonts/matplotlib-setting_korean_font.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/dropbox/setting_fonts/matplotlib-setting_korean_font.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
matplotlib-setting_korean_font.py
matplotlib 한글폰트 사용하기
http://corazzon.github.io/matplotlib_font_setting
"""
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
import os
import numpy as np
# Generate a random data
data = np... | 46.305677 | 113 | 0.705488 |
deaf053f85c9f35a2ff38d108356c9de2da3b548 | 5,088 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/assign/inputs.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 4 | 2020-11-13T02:35:56.000Z | 2021-03-29T20:15:54.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/assign/inputs.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 9 | 2020-12-09T02:12:39.000Z | 2021-02-18T00:15:28.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/assign/inputs.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 1 | 2020-11-20T19:31:26.000Z | 2020-11-20T19:31:26.000Z | # Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2007-2020 German Aerospace Center (DLR) and others.
# This program and the accompanying materials are made available under the
# terms of the Eclipse Public License 2.0 which is available at
# https://www.eclipse.org/legal/epl-2.... | 39.75 | 107 | 0.578027 |
5f305b87a9bc943f44bb3ad914453b31c282295a | 3,117 | py | Python | NeuralNet/Alex/dataloader/loader.py | alex-ta/Fontinator | 7ca9effe3b61ded032176557520127e1d4b7a5ef | [
"Apache-2.0"
] | 6 | 2017-04-12T14:05:19.000Z | 2021-01-29T11:23:50.000Z | NeuralNet/Alex/dataloader/loader.py | alex-ta/Fontinator | 7ca9effe3b61ded032176557520127e1d4b7a5ef | [
"Apache-2.0"
] | null | null | null | NeuralNet/Alex/dataloader/loader.py | alex-ta/Fontinator | 7ca9effe3b61ded032176557520127e1d4b7a5ef | [
"Apache-2.0"
] | null | null | null | # load dataset from file
from os import listdir
from os.path import isfile, join, basename
import numpy as np
import cv2
# data class
class Data:
def __init__(self):
self.data = []
def set_name(self, val):
self.name = val
def set_label(self, val):
self.label = val
def set_data(... | 28.081081 | 82 | 0.598011 |
f84817263c0bc8b1fb40aae3a117cefb65e7e658 | 5,321 | py | Python | Shmup_04.py | rogiko2670/Shmup_04 | 12fb6236145e91324dd1aa96a05a7daf5898d8bc | [
"CC0-1.0"
] | null | null | null | Shmup_04.py | rogiko2670/Shmup_04 | 12fb6236145e91324dd1aa96a05a7daf5898d8bc | [
"CC0-1.0"
] | null | null | null | Shmup_04.py | rogiko2670/Shmup_04 | 12fb6236145e91324dd1aa96a05a7daf5898d8bc | [
"CC0-1.0"
] | null | null | null | ######################################
#
# ***SHMUP_03***
#
# 01 player sprite and controles
# 02 enemy sprites
# 03 colision (and bullits)
# 04 adding graphics
#
#####################################
import pygame
import random
from os import path
# path to images
img_dir = path.join(p... | 29.726257 | 96 | 0.554783 |
e46071b1d37a0715065931084812f43ec7c0f278 | 3,039 | py | Python | app.py | isLXa/db | e2d111b81a9bf276d6cf53a7ccdaf3752217a404 | [
"Apache-2.0"
] | null | null | null | app.py | isLXa/db | e2d111b81a9bf276d6cf53a7ccdaf3752217a404 | [
"Apache-2.0"
] | null | null | null | app.py | isLXa/db | e2d111b81a9bf276d6cf53a7ccdaf3752217a404 | [
"Apache-2.0"
] | null | null | null | from datetime import datetime
from flask import Flask
from flask import Response
from flask import request
from flask import render_template
import pymysql
import json
import datetime
app = Flask(__name__)
conn = pymysql.connect("127.0.0.1", "root", "123456", "board")
cursor = conn.cursor()
@app.route('/')
def hel... | 31.65625 | 115 | 0.664034 |
5fcbc1d3815acedfe5e41e767211c3f4fe04e223 | 2,731 | py | Python | IdeaProjects/crap/tuchong.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | 1 | 2018-12-30T14:07:42.000Z | 2018-12-30T14:07:42.000Z | IdeaProjects/crap/tuchong.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | null | null | null | IdeaProjects/crap/tuchong.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | null | null | null | #-*- encoding: utf-8 -*-
'''''
Created on 2015-7-30
@author: Miko
'''
import urllib.request
import urllib,re,sys,os,time
import uuid
#获取二级页面url
def findUrl2(html):
# https://aisimu.tuchong.com/15583275/?rqt_id=
print(html)
#re1 = r'https://aisimu.tuchong.com/\d+/\?rqt_id='
re1 = 'https://aisimu.tuchong.... | 33.716049 | 128 | 0.586964 |
ffcb189d30960fdb402d4e4f963c402bdf407c10 | 9,157 | py | Python | research/cv/FaceAttribute/infer/sdk/python_faceattribute/main.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/FaceAttribute/infer/sdk/python_faceattribute/main.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/FaceAttribute/infer/sdk/python_faceattribute/main.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | """
Copyright 2021 Huawei Technologies Co., Ltd
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... | 39.640693 | 104 | 0.592989 |
ffe4ef548d579693b795d88bf214acba7a095483 | 342 | py | Python | BigData_exp/exp2/0203/0203.py | DolorHunter/hfut-exp-archived | c67e26c1f4fba550c8974eaba10dfa302b928868 | [
"BSD-2-Clause"
] | 12 | 2020-12-07T05:49:05.000Z | 2022-03-25T09:09:36.000Z | BigData_exp/exp2/0203/0203.py | DolorHunter/hfut-exp | c67e26c1f4fba550c8974eaba10dfa302b928868 | [
"BSD-2-Clause"
] | null | null | null | BigData_exp/exp2/0203/0203.py | DolorHunter/hfut-exp | c67e26c1f4fba550c8974eaba10dfa302b928868 | [
"BSD-2-Clause"
] | 1 | 2021-01-08T08:53:53.000Z | 2021-01-08T08:53:53.000Z | '''
FileName: 0203.py
Auther: Wang Zixiang
Date: 04.20.2019
Function: draw a func
'''
import matplotlib.pyplot as plt
import numpy as np
def draw():
x = np.linspace(-5, 5, 1000)
y = [np.arcsin(i)/np.tan(x) for i in x]
plt.plot(x, y)
plt.show()
def main():
draw()
if __name__ == ... | 13.68 | 43 | 0.578947 |
084d96fb5e68ee0e345afb6e0e5f5a380d1291a8 | 2,150 | py | Python | cli.py | kelayamatoz/BiDAF-TBA | 82a425c10f08d65814696955cf072da21c329f90 | [
"BSD-2-Clause"
] | null | null | null | cli.py | kelayamatoz/BiDAF-TBA | 82a425c10f08d65814696955cf072da21c329f90 | [
"BSD-2-Clause"
] | null | null | null | cli.py | kelayamatoz/BiDAF-TBA | 82a425c10f08d65814696955cf072da21c329f90 | [
"BSD-2-Clause"
] | null | null | null | import os
from argparse import ArgumentParser
from train import train
def get_args():
parser = ArgumentParser(description='PyTorch BIDAF model')
# directories and data
parser.add_argument('--save_path', type=str, default='results')
parser.add_argument('--data_cache', type=str, default=os.path.join(os.g... | 44.791667 | 120 | 0.700465 |
f2c96810704e1ecbfc25ac1bb4ccf1c3b434e2aa | 10,124 | py | Python | python/tests/test_sbml2sbtab.py | derHahn/SBtab | da998eacc49f7f29d8168be366eb0c211c3adb5f | [
"MIT"
] | 4 | 2015-02-20T09:20:10.000Z | 2018-02-05T10:54:10.000Z | python/tests/test_sbml2sbtab.py | tlubitz/SBtab | da998eacc49f7f29d8168be366eb0c211c3adb5f | [
"MIT"
] | 80 | 2018-04-13T13:46:24.000Z | 2022-02-16T16:01:46.000Z | python/tests/test_sbml2sbtab.py | tlubitz/SBtab | da998eacc49f7f29d8168be366eb0c211c3adb5f | [
"MIT"
] | 6 | 2018-06-06T19:55:32.000Z | 2021-09-30T15:16:40.000Z | #!/usr/bin/env python
import unittest
import sys
import os
import copy
import libsbml
sys.path.insert(0,os.path.join(os.path.dirname(__file__), '..'))
import SBtab
import sbml2sbtab
class TestSBMLConversion(unittest.TestCase):
def setUp(self):
'''
setup SBtabTable class with files from test dire... | 51.917949 | 115 | 0.546227 |
4bb47658d3244f27e1f1de1b2985c4f2fb9d279b | 515 | py | Python | Curso_Python/Secao2-Python-Basico-Logica-Programacao/29_indices_fatimaneto_strings/29_indices_fatimaneto_strings.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao2-Python-Basico-Logica-Programacao/29_indices_fatimaneto_strings/29_indices_fatimaneto_strings.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao2-Python-Basico-Logica-Programacao/29_indices_fatimaneto_strings/29_indices_fatimaneto_strings.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | """
Manipulando strings - aula 30
* String indices
* Fatiamento de strings [inicio:fim:passo]
* Funções buit-in len, abs, type, print, etc...
essas funçoes pode ser usadas diretamente em cada tipo.
"""
# positivos [12345678]
texto = 'Python s2'
# negativos -[98765432]
print(texto[5]) #acessa apenas esse inde... | 34.333333 | 86 | 0.708738 |
d9ad11bb1309cc7d47195aebdbb3b3be25a6197b | 341 | py | Python | Flask/FastAPI/Django/Python-API-Development.freeCodeCamp.org/09-Relationships/main.py | shihab4t/Software-Development | 0843881f2ba04d9fca34e44443b5f12f509f671e | [
"Unlicense"
] | null | null | null | Flask/FastAPI/Django/Python-API-Development.freeCodeCamp.org/09-Relationships/main.py | shihab4t/Software-Development | 0843881f2ba04d9fca34e44443b5f12f509f671e | [
"Unlicense"
] | null | null | null | Flask/FastAPI/Django/Python-API-Development.freeCodeCamp.org/09-Relationships/main.py | shihab4t/Software-Development | 0843881f2ba04d9fca34e44443b5f12f509f671e | [
"Unlicense"
] | null | null | null | from fastapi import FastAPI
from . import models
from .database import engine
from .routers import post, user, auth
models.Base.metadata.create_all(bind=engine)
app = FastAPI()
app.include_router(post.router)
app.include_router(user.router)
app.include_router(auth.router)
@app.get("/")
def root():
return {"de... | 17.947368 | 44 | 0.750733 |
8aaae68c1af2b0f7ae10c33d57223d8e4d6f3176 | 27,200 | py | Python | huTools/_jsonlib.py | gadventures/huTools | 8bc58d63491bcd3cfc3e78d219be703d943ffeb5 | [
"BSD-3-Clause"
] | null | null | null | huTools/_jsonlib.py | gadventures/huTools | 8bc58d63491bcd3cfc3e78d219be703d943ffeb5 | [
"BSD-3-Clause"
] | null | null | null | huTools/_jsonlib.py | gadventures/huTools | 8bc58d63491bcd3cfc3e78d219be703d943ffeb5 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (C) 2008-2009 John Millikin <jmillikin@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 3 of the License, or
# any later version.
#
# This program is distr... | 31.775701 | 85 | 0.572316 |
6a818f5582e99023c4f58f8d48a341fc7fc65c41 | 15,378 | py | Python | myems-normalization/offlinemeter.py | guangyuzhang/myems | c88f0620d3e36154a500c755c805333b771d09c0 | [
"MIT"
] | 82 | 2021-02-19T10:24:31.000Z | 2022-03-28T06:30:18.000Z | myems-normalization/offlinemeter.py | guangyuzhang/myems | c88f0620d3e36154a500c755c805333b771d09c0 | [
"MIT"
] | 188 | 2021-02-22T07:08:30.000Z | 2022-03-02T04:11:03.000Z | myems-normalization/offlinemeter.py | guangyuzhang/myems | c88f0620d3e36154a500c755c805333b771d09c0 | [
"MIT"
] | 54 | 2021-02-19T08:48:46.000Z | 2022-03-30T06:21:34.000Z | import time
from datetime import datetime, timedelta
import mysql.connector
from openpyxl import load_workbook
from decimal import Decimal
import config
################################################################################################################
# PROCEDURES:
# STEP 1: get all 'new' offline meter f... | 48.819048 | 120 | 0.414618 |
6ab9f4da39b4ce79c0f1c8f8305ad17d8320ee00 | 1,316 | py | Python | AP_SS16/402/python/old/calculations.py | DimensionalScoop/kautschuk | 90403f97cd60b9716cb6a06668196891d5d96578 | [
"MIT"
] | 3 | 2016-04-27T17:07:00.000Z | 2022-02-02T15:43:15.000Z | AP_SS16/402/python/old/calculations.py | DimensionalScoop/kautschuk | 90403f97cd60b9716cb6a06668196891d5d96578 | [
"MIT"
] | 5 | 2016-04-27T17:10:03.000Z | 2017-06-20T14:54:20.000Z | AP_SS16/402/python/old/calculations.py | DimensionalScoop/kautschuk | 90403f97cd60b9716cb6a06668196891d5d96578 | [
"MIT"
] | null | null | null | import numpy as np
def Z(omega, L, C):
"""Berechnet Wellenwiderstand für homogene Kette"""
return np.sqrt(L / C) * 1 / np.sqrt(1 - 1 / 4 * omega**2 * L * C)
def Z_C1C2(L, C1, C2):
"""Berechnet Wellenwiderstand für Kette mit wechselnden C1 - C2 - Gliedern für Omega=0"""
return np.sqrt(2 * L / (C1 + C... | 21.57377 | 93 | 0.572948 |
7c3699de027eadc32a1094426d86e06a3b5135a2 | 4,180 | py | Python | Packs/AzureLogAnalytics/Integrations/AzureLogAnalytics/AzureLogAnalytics_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/AzureLogAnalytics/Integrations/AzureLogAnalytics/AzureLogAnalytics_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/AzureLogAnalytics/Integrations/AzureLogAnalytics/AzureLogAnalytics_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | from AzureLogAnalytics import Client, execute_query_command, list_saved_searches_command, tags_arg_to_request_format
MOCKED_SAVED_SEARCHES_OUTPUT = {
'value': [
{
'id': 'mocked_id/mocked_saved_search',
'etag': 'mocked_etag',
'properties': {
'displayName':... | 29.857143 | 116 | 0.564593 |
8100285b7de73c38c99ecdf496152cb38e0939e9 | 19 | py | Python | Licence 2/I33/TP 2/ex_8.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 8 | 2020-11-26T20:45:12.000Z | 2021-11-29T15:46:22.000Z | Licence 2/I33/TP 2/ex_8.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | null | null | null | Licence 2/I33/TP 2/ex_8.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 6 | 2020-10-23T15:29:24.000Z | 2021-05-05T19:10:45.000Z | def ord(a,n):
pass | 9.5 | 13 | 0.631579 |
8140cfcc63ba1cc71656743a66c8a712d3da7e27 | 78 | py | Python | pelican/plugins/myst/signals.py | noirbizarre/pelican-myst | c2c7b44803ebc33e70d915c35b692df14597469b | [
"MIT"
] | null | null | null | pelican/plugins/myst/signals.py | noirbizarre/pelican-myst | c2c7b44803ebc33e70d915c35b692df14597469b | [
"MIT"
] | 21 | 2021-12-21T16:47:35.000Z | 2022-03-29T04:34:59.000Z | pelican/plugins/myst/signals.py | noirbizarre/pelican-myst | c2c7b44803ebc33e70d915c35b692df14597469b | [
"MIT"
] | null | null | null | from blinker import signal
myst_yaml_register = signal("myst_yaml_register")
| 19.5 | 49 | 0.833333 |
d4979e21dc2950c71742bb89f6674cad27317fae | 729 | py | Python | AdvancePython-master/chapter05/list_gen.py | xuyifeiCoco/python | 83af27b3baf1caf157b330c580f356a94095e44d | [
"MIT"
] | 26 | 2019-09-17T12:48:36.000Z | 2022-02-24T12:27:01.000Z | AdvancePython-master/chapter05/list_gen.py | xuyifeiCoco/python | 83af27b3baf1caf157b330c580f356a94095e44d | [
"MIT"
] | 2 | 2021-03-25T22:00:07.000Z | 2022-01-20T15:51:48.000Z | coding-200/chapter05/list_gen.py | qsunny/python | ace8c3178a9a9619de2b60ca242c2079dd2f825e | [
"MIT"
] | 20 | 2019-05-31T14:21:00.000Z | 2021-07-27T15:58:25.000Z | #用简介的方式去遍历可迭代对象生成需要格式的列表
int_list = [1,2,3,4,5]
qu_list = [item * item for item in int_list]
print (type(qu_list))
int_list = [1,2,-3,4,5]
qu_list = [item if item > 0 else abs(item) for item in int_list]
#笛卡尔积
int_list1 = [1,2]
int_list2 = [3,4]
qu_list = [(first, second) for first in int_list1 for second in int_li... | 19.184211 | 74 | 0.663923 |
d4c2fcb4003f234e23845d0c22fe7109d0442b96 | 2,670 | py | Python | pyind/crossover.py | chankane/pyind | 742bc671d3552d778024662867b64e32ae9bca9d | [
"MIT"
] | null | null | null | pyind/crossover.py | chankane/pyind | 742bc671d3552d778024662867b64e32ae9bca9d | [
"MIT"
] | null | null | null | pyind/crossover.py | chankane/pyind | 742bc671d3552d778024662867b64e32ae9bca9d | [
"MIT"
] | null | null | null | import numpy as np
def p2(ind0, ind1):
"""
Two-point crossover
Parameters
----------
ind0 : ndarray
Father
ind1 : ndarray
Mother
Returns
-------
chil : ndarray
Child
"""
sta, end = _cre_sta_end(len(ind0))
return (
np.concatenate((ind0[... | 20.859375 | 65 | 0.511236 |
d4cfb4912f770d5961316a22559e49f5926173ed | 3,110 | py | Python | PlaidCTF/2020/misc/BonziScheme/app/bonzi/acsutil.py | mystickev/ctf-archives | 89e99a5cd5fb6b2923cad3fe1948d3ff78649b4e | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | PlaidCTF/2020/misc/BonziScheme/app/bonzi/acsutil.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | PlaidCTF/2020/misc/BonziScheme/app/bonzi/acsutil.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-12-19T11:06:24.000Z | 2021-12-19T11:06:24.000Z | from bonzi.acsparse import *
import struct
def create_acs_string(s):
acs_string = struct.pack("<I", len(s))
if len(s) != 0:
acs_string += s.encode('utf-16le') + b"\x00\x00"
return acs_string
def replace_locator(old_acs, old_loc, data_offset, shift_size):
# Data is inserted after wh... | 39.367089 | 137 | 0.718006 |
ed27b4b5741c268aac1d9109c0b47fa891a35469 | 650 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/ch09_search_and_sort/solutions/ex01_contains.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch09_search_and_sort/solutions/ex01_contains.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch09_search_and_sort/solutions/ex01_contains.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
def contains_all(values, search_for):
for current in search_for:
if not current in values:
return False
return True
def contains_all_v2(values, search_for):
return all(elem in values for elem in s... | 23.214286 | 67 | 0.598462 |
9c21e153ea47afdaa6d0a12b8c9953bbd24ab58a | 2,204 | py | Python | frappe-bench/env/lib/python2.7/site-packages/stdnum/hr/oib.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/env/lib/python2.7/site-packages/stdnum/hr/oib.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/env/lib/python2.7/site-packages/stdnum/hr/oib.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | # cnp.py - functions for handling Croatian OIB numbers
# coding: utf-8
#
# Copyright (C) 2012, 2013 Arthur de Jong
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 o... | 32.895522 | 76 | 0.725953 |
9c68855d62a5a54ba542728b57292f32cad1c3a2 | 4,304 | py | Python | tests/unit/samplers/test_voxelgrid_samplers.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 1,142 | 2016-10-10T08:55:30.000Z | 2022-03-30T04:46:16.000Z | tests/unit/samplers/test_voxelgrid_samplers.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 195 | 2016-10-10T08:30:37.000Z | 2022-02-17T12:51:17.000Z | tests/unit/samplers/test_voxelgrid_samplers.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 215 | 2017-02-28T00:50:29.000Z | 2022-03-22T17:01:31.000Z | import pytest
from pyntcloud.samplers import (
VoxelgridCentersSampler,
VoxelgridCentroidsSampler,
VoxelgridNearestSampler,
VoxelgridHighestSampler
)
from pyntcloud.utils.array import point_in_array_2D
@pytest.mark.parametrize("n_x, n_y, n_z,expected_n,expected_point", [
(
2, 2, 2,
... | 26.9 | 120 | 0.647305 |
13d27224bcd7c29e95ed6347f4fd0f98ec826875 | 15,147 | py | Python | AP4/sst_segmenter.py | TensorVision/MediSeg | 222fcab98d82f48f09304eda3cfbfe4d6ac825b7 | [
"MIT"
] | 6 | 2016-08-15T17:57:45.000Z | 2019-03-19T05:08:29.000Z | AP4/sst_segmenter.py | TensorVision/MediSeg | 222fcab98d82f48f09304eda3cfbfe4d6ac825b7 | [
"MIT"
] | 10 | 2016-04-11T10:20:34.000Z | 2016-08-09T21:47:48.000Z | AP4/sst_segmenter.py | TensorVision/MediSeg | 222fcab98d82f48f09304eda3cfbfe4d6ac825b7 | [
"MIT"
] | 7 | 2016-06-21T04:08:58.000Z | 2018-09-01T14:02:40.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Get patches of the raw image as input."""
import json
import os
import numpy as np
import logging
import sys
import time
logging.basicConfig(format='%(asctime)s %(levelname)s %(message)s',
level=logging.INFO,
stream=sys.stdout)
... | 35.978622 | 83 | 0.511983 |
13e66e49334f0444f0e07e5da040c9f73306be96 | 4,824 | py | Python | solutions/graph_based_recommend/webserver/src/pinsage/builder.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | 2 | 2020-08-08T02:58:14.000Z | 2020-08-08T04:57:35.000Z | solutions/graph_based_recommend/webserver/src/pinsage/builder.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | null | null | null | solutions/graph_based_recommend/webserver/src/pinsage/builder.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | 1 | 2021-03-09T12:42:46.000Z | 2021-03-09T12:42:46.000Z | """Graph builder from pandas dataframes"""
from collections import namedtuple
from pandas.api.types import is_numeric_dtype, is_categorical_dtype, is_categorical
import dgl
__all__ = ['PandasGraphBuilder']
def _series_to_tensor(series):
if is_categorical(series):
return torch.LongTensor(series.cat.codes.v... | 40.537815 | 89 | 0.575871 |
b94a5ef511bc611709ce561e3821a8e6985c5cf6 | 7,693 | py | Python | StoryTellingGame/app.py | kkysen/Soft-Dev | b19881b1fcc9c7daefc817e6b975ff6bce545d81 | [
"Apache-2.0"
] | null | null | null | StoryTellingGame/app.py | kkysen/Soft-Dev | b19881b1fcc9c7daefc817e6b975ff6bce545d81 | [
"Apache-2.0"
] | null | null | null | StoryTellingGame/app.py | kkysen/Soft-Dev | b19881b1fcc9c7daefc817e6b975ff6bce545d81 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
from sys import stderr
__authors__ = ['Khyber Sen', 'Caleb Smith-Salzburg', 'Michael Ruvinshteyn', 'Terry Guan']
__date__ = '2017-10-30'
from typing import Callable
import os
from flask import \
Flask, \
render_template, \
request, \
flash, \
... | 27.377224 | 91 | 0.620174 |
e03e4234528ad73e52993d5a5c6dab99dd7683b4 | 3,590 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/source_control/gitlab/test_gitlab_project.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/source_control/gitlab/test_gitlab_project.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/source_control/gitlab/test_gitlab_project.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright: (c) 2019, Guillaume Martinez (lunik@tiwabbit.fr)
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import
import pytest
from ansible_collections.community.general.plugins.modules.source_control.gitlab.git... | 34.519231 | 136 | 0.716435 |
1608db79b81cee1b0f02c56ad2bf15b2b15011a0 | 412 | py | Python | IVTp/2014/TITOV_S_G/task_2_22.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | IVTp/2014/TITOV_S_G/task_2_22.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | IVTp/2014/TITOV_S_G/task_2_22.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 2. Вариант 22.
# Напишите программу, которая будет выводить на экран наиболее понравившееся вам высказывание, автором которого является Демокрит. Не забудьте о том, что автор должен быть упомянут на отдельной строке.
# Titov S.G.
# 14.03.2016
print ("Свободным я считаю того, кто ни на что не надеется и ничег... | 37.454545 | 201 | 0.747573 |
169f4d8513bb429a6414c31960c1fc0b703a915d | 1,632 | py | Python | spark_streaming_wordcounts/spark_streaming_workgenerator.py | xiaolifeipiao/xiaolifeipiao-spark-integrated-curriculum | f9b502ac4a7bd8663005f1bfd2c8ebec5bce9e74 | [
"Apache-2.0"
] | 6 | 2021-11-11T01:06:08.000Z | 2021-11-18T02:45:25.000Z | spark_streaming_wordcounts/spark_streaming_workgenerator.py | xiaolifeipiao/xiaolifeipiao-spark-integrated-curriculum | f9b502ac4a7bd8663005f1bfd2c8ebec5bce9e74 | [
"Apache-2.0"
] | null | null | null | spark_streaming_wordcounts/spark_streaming_workgenerator.py | xiaolifeipiao/xiaolifeipiao-spark-integrated-curriculum | f9b502ac4a7bd8663005f1bfd2c8ebec5bce9e74 | [
"Apache-2.0"
] | null | null | null | import random
import time
import shutil
import os
from pyspark import SparkContext
sc = SparkContext('local','spark_streaming_wordcounts')
def my_mkdir(dir_path):
if os.path.exists(dir_path):
return dir_path
else:
try:
os.mkdir(dir_path)
except:
print(dir_path, ... | 26.322581 | 57 | 0.597426 |
4c31871f9cfe2cab72ba18f2cc5b5ae488672f88 | 586 | py | Python | official/nlp/lstm/infer/sdk/utils/__init__.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/nlp/lstm/infer/sdk/utils/__init__.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/nlp/lstm/infer/sdk/utils/__init__.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # coding = utf-8
"""
Copyright 2021 Huawei Technologies Co., Ltd
Licensed under the BSD 3-Clause License (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
https://opensource.org/licenses/BSD-3-Clause
Unless required by applicable law or agreed ... | 34.470588 | 72 | 0.784983 |
fc7214dd240b397f29c753a930f38d862dd6f5a7 | 237 | py | Python | Algorithms/Bit_Manipulation/lonely_integer.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Algorithms/Bit_Manipulation/lonely_integer.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Algorithms/Bit_Manipulation/lonely_integer.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from collections import Counter
n = int(input())
c = list(map(int, input().strip().split()))
cnt = Counter()
for n in c:
cnt[n] += 1
for k, v in cnt.items():
if v == 1:
print(k)
continue
| 15.8 | 43 | 0.565401 |
5d30d7d16d9507bb56c1268d6cb6216a3c110b04 | 4,223 | py | Python | rasa/nlu/extractors/entity_synonyms.py | isaac-philip/rasa | 923db75e03921921a6f1f3489a2c5574138ee685 | [
"Apache-2.0"
] | 5 | 2020-08-28T06:44:31.000Z | 2021-03-14T18:46:01.000Z | rasa/nlu/extractors/entity_synonyms.py | alfredfrancis/rasa | d8d226408f20cc2563c3aefbccef3e364a447666 | [
"Apache-2.0"
] | 71 | 2020-08-25T02:46:08.000Z | 2022-03-01T13:23:38.000Z | rasa/nlu/extractors/entity_synonyms.py | alfredfrancis/rasa | d8d226408f20cc2563c3aefbccef3e364a447666 | [
"Apache-2.0"
] | 3 | 2019-02-27T10:13:16.000Z | 2019-07-26T08:33:45.000Z | import os
from typing import Any, Dict, Optional, Text
from rasa.constants import DOCS_URL_TRAINING_DATA_NLU
from rasa.nlu.constants import ENTITIES
from rasa.nlu.config import RasaNLUModelConfig
from rasa.nlu.extractors.extractor import EntityExtractor
from rasa.nlu.model import Metadata
from rasa.nlu.training_data i... | 37.371681 | 88 | 0.607151 |
537a4dcefcb5461b11ef0e31030c8f2fc90646a6 | 4,799 | py | Python | python_experiments/paper_figures/vldbj/draw_query_time.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | 8 | 2020-04-14T23:17:00.000Z | 2021-06-21T12:34:04.000Z | python_experiments/paper_figures/vldbj/draw_query_time.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | null | null | null | python_experiments/paper_figures/vldbj/draw_query_time.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | 1 | 2021-01-17T16:26:50.000Z | 2021-01-17T16:26:50.000Z | from data_analysis.vldbj_data_parsing.probesim_querying_time_statistics import probesim_tag
from paper_figures.vldbj.draw_indexing_time_size import *
from data_analysis.vldbj_data_parsing.querying_time_accuracy_statistics import *
from data_analysis.vldbj_data_parsing.generate_speedup_over_sling_markdown import get_cpu... | 41.37069 | 117 | 0.625755 |
54e278d1203b45ef7a7cf18fd3c341779380e7e2 | 11,151 | py | Python | graphs/graphs/DIP/DIPgaussVAE_graph.py | kkahloots/Generative-Models-03 | 5399fb8a504543b0a4196a81b182ead79ee247df | [
"MIT"
] | null | null | null | graphs/graphs/DIP/DIPgaussVAE_graph.py | kkahloots/Generative-Models-03 | 5399fb8a504543b0a4196a81b182ead79ee247df | [
"MIT"
] | null | null | null | graphs/graphs/DIP/DIPgaussVAE_graph.py | kkahloots/Generative-Models-03 | 5399fb8a504543b0a4196a81b182ead79ee247df | [
"MIT"
] | null | null | null | """
DIPgaussVAE_graph.py:
Tensorflow Graph for the DIP Gaussian Variational Autoencoder
"""
__author__ = "Khalid M. Kahloot"
__copyright__ = "Copyright 2019, Only for professionals"
__paper__ = "https://openreview.net/pdf?id=H1kG7GZAW"
import tensorflow as tf
import bases.losses as losses
from bases... | 54.395122 | 161 | 0.555914 |
54f4c90b83cd5587ec7d719d1475c7ee942b7002 | 265 | py | Python | zencad/examples/2.Operations/unify.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | 5 | 2018-04-11T14:11:40.000Z | 2018-09-12T19:03:36.000Z | zencad/examples/2.Operations/unify.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | zencad/examples/2.Operations/unify.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# coding: utf-8
from zencad import *
m = circle(10) + square(17, center=True)
m0 = m
m1 = unify(m)
m2 = m.extrude(10)
m3 = unify(m).extrude(10)
display(m0)
display(m1.right(30))
display(m2.forw(30))
display(m3.right(30).forw(30))
show()
| 13.947368 | 40 | 0.660377 |
dbda3afdf11e6becbcff7e6a7ef571ca1d5f4590 | 2,307 | py | Python | src/using_tips/python_program_design.py | HuangHuaBingZiGe/GitHub-Demo | f3710f73b0828ef500343932d46c61d3b1e04ba9 | [
"Apache-2.0"
] | null | null | null | src/using_tips/python_program_design.py | HuangHuaBingZiGe/GitHub-Demo | f3710f73b0828ef500343932d46c61d3b1e04ba9 | [
"Apache-2.0"
] | null | null | null | src/using_tips/python_program_design.py | HuangHuaBingZiGe/GitHub-Demo | f3710f73b0828ef500343932d46c61d3b1e04ba9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
1.在模块的层次结构图中，箭头表示——信息流
2.自顶向下设计主要由下列哪个实现——函数
3.类方法中定义了四个参数，这种情况下实际上有多少参数——不确定
4.下列哪条表达式可以创建一条从点(2,3)到(4,5)的线段——
Line(Point(2,3), Point(4,5))
5.color_rgb(0,255,255)表示的是什么颜色——青色
6.对于字典dic={‘abc’:123, ‘def’:456, ’ghi’:789}, len(dic) 的结果为——3
7.选出对下列语句不符合语法要求的表达式：
for var... | 16.246479 | 243 | 0.723017 |
91994780a85b157b165276e6600c2340e5e27fe9 | 1,362 | py | Python | coco2yolov5-converter/tests/converter/test_convert_util.py | SchweizerischeBundesbahnen/sbb-ml-models | 485356aeb0a277907c160d435f7f654154046a70 | [
"MIT"
] | null | null | null | coco2yolov5-converter/tests/converter/test_convert_util.py | SchweizerischeBundesbahnen/sbb-ml-models | 485356aeb0a277907c160d435f7f654154046a70 | [
"MIT"
] | null | null | null | coco2yolov5-converter/tests/converter/test_convert_util.py | SchweizerischeBundesbahnen/sbb-ml-models | 485356aeb0a277907c160d435f7f654154046a70 | [
"MIT"
] | null | null | null | # disabling PyLint docstring, no self using
# pylint: disable=C0115,C0116,R0201
from src.converter.convert_util import convertRelCoco2Yolo, fix_coordinate_system
class TestConvert:
def test_convert_rel_coco_2_yolo_accepts_float(self):
""" check """
result = convertRelCoco2Yolo(0.0, 0.0, 0.0, 0.0)... | 41.272727 | 130 | 0.602056 |
72a4fedd86d81500253f22ba8342157129774fb9 | 560 | py | Python | lat/lightcurve.py | Omaam/lat | bb72c43fc870a36e26a32b05000d091871e07ad5 | [
"MIT"
] | null | null | null | lat/lightcurve.py | Omaam/lat | bb72c43fc870a36e26a32b05000d091871e07ad5 | [
"MIT"
] | null | null | null | lat/lightcurve.py | Omaam/lat | bb72c43fc870a36e26a32b05000d091871e07ad5 | [
"MIT"
] | null | null | null | """FitsLightCurve class.
"""
from absl import logging
from astropy.table import Table
class FitsLightCurve:
"""
This class could calculate some fundamental calcuration
"""
def __init__(self, lcname_fits, energy_range=None, dt=None):
self.table = Table.read(lcname_fits, format="fits")
... | 20.740741 | 64 | 0.658929 |
beace98180a50242f49424347b9855e1e1a1f5fc | 1,834 | py | Python | utils.py | isadrtdinov/StarGAN | bdb33310817854802ebc6356b28303616f23060a | [
"MIT"
] | null | null | null | utils.py | isadrtdinov/StarGAN | bdb33310817854802ebc6356b28303616f23060a | [
"MIT"
] | null | null | null | utils.py | isadrtdinov/StarGAN | bdb33310817854802ebc6356b28303616f23060a | [
"MIT"
] | null | null | null | import random
import numpy as np
import torch
from torchvision.utils import make_grid
def set_random_seed(seed):
torch.backends.cudnn.deterministic = True
torch.manual_seed(seed)
torch.cuda.manual_seed(seed)
random.seed(seed)
np.random.seed(seed)
def permute_labels(src_labels):
rand_perm = t... | 32.75 | 79 | 0.678844 |
beb9c76f87674587f48640ae891ea4a39c831acc | 190 | py | Python | ZbjDjChannels/chatsolo/urls.py | zbjlala/ZbjDjChannels | c4da2339574e2e398bd452eef4d026eab309752c | [
"MIT"
] | null | null | null | ZbjDjChannels/chatsolo/urls.py | zbjlala/ZbjDjChannels | c4da2339574e2e398bd452eef4d026eab309752c | [
"MIT"
] | null | null | null | ZbjDjChannels/chatsolo/urls.py | zbjlala/ZbjDjChannels | c4da2339574e2e398bd452eef4d026eab309752c | [
"MIT"
] | null | null | null | from django.conf.urls import url
from chatsolo import views
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^(?P<user_id>[^/]+)/$', views.soloroom, name='soloroom'),
] | 23.75 | 67 | 0.636842 |
fe2914494a41d7260683334346fcfce4052bb2d7 | 492 | py | Python | util.py | marwanad/music_bot | c7a9c704f510d455fc6d1d7c057d5cfa31dcd7cf | [
"MIT"
] | 1 | 2020-12-07T13:30:59.000Z | 2020-12-07T13:30:59.000Z | util.py | marwanad/music_bot | c7a9c704f510d455fc6d1d7c057d5cfa31dcd7cf | [
"MIT"
] | null | null | null | util.py | marwanad/music_bot | c7a9c704f510d455fc6d1d7c057d5cfa31dcd7cf | [
"MIT"
] | null | null | null | import string
import re
from fuzzywuzzy import fuzz
def guess_matches_answer(guess, answer):
regex = re.compile('[%s]' % re.escape(string.punctuation))
guess_no_punc = regex.sub('', guess).strip().lower()
answer_no_punc = regex.sub('', answer).strip().lower()
answer_no_dash = answer_no_punc.split('-')[... | 32.8 | 62 | 0.70122 |
fe1cfc0c370e71d7c7f6e2adb53671013010bfeb | 2,280 | py | Python | app.py | nelsonrds/job_finder | 6a31f8c96ce6a417f14dc02b73ff977c2f150410 | [
"MIT"
] | null | null | null | app.py | nelsonrds/job_finder | 6a31f8c96ce6a417f14dc02b73ff977c2f150410 | [
"MIT"
] | null | null | null | app.py | nelsonrds/job_finder | 6a31f8c96ce6a417f14dc02b73ff977c2f150410 | [
"MIT"
] | null | null | null | import requests
from flask import Flask, render_template, request, redirect
app = Flask(__name__)
url = "https://jobs.github.com/positions.json?description=python&location=new+york"
req = requests.get(url)
json_form = req.json()
class Job:
def __init__(self, job_id, job_type, job_url, created_at, company, com... | 29.61039 | 127 | 0.603947 |
431fd74e2a36acf7ed289d8b9f3b07eda25ab183 | 3,082 | py | Python | autologin/ht_clienttrader.py | pchaos/wanggejiaoyi | 60242d465bf10d4be46ee6eafc99557affc2a52e | [
"MIT"
] | 15 | 2018-05-16T02:39:01.000Z | 2021-05-22T13:12:55.000Z | autologin/ht_clienttrader.py | pchaos/wanggejiaoyi | 60242d465bf10d4be46ee6eafc99557affc2a52e | [
"MIT"
] | null | null | null | autologin/ht_clienttrader.py | pchaos/wanggejiaoyi | 60242d465bf10d4be46ee6eafc99557affc2a52e | [
"MIT"
] | 9 | 2018-05-16T00:47:34.000Z | 2021-11-26T05:39:48.000Z | # -*- coding: utf-8 -*-
"""
-------------------------------------------------
@File : ht_clienttrader.py.py
Description :
@Author : pchaos
date： 18-4-16
-------------------------------------------------
Change Activity:
18-4-16:
@Contact : p19992003#gmail.com
-----------------------... | 29.92233 | 77 | 0.536989 |
4a6a2a042eb9ff5a6b4abf47925632916d3a9060 | 1,488 | py | Python | tests/test_metrics.py | Matheus158257/projects | 26a6148046533476e625a872a2950c383aa975a8 | [
"Apache-2.0"
] | null | null | null | tests/test_metrics.py | Matheus158257/projects | 26a6148046533476e625a872a2950c383aa975a8 | [
"Apache-2.0"
] | null | null | null | tests/test_metrics.py | Matheus158257/projects | 26a6148046533476e625a872a2950c383aa975a8 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from io import BytesIO
from json import dumps
from unittest import TestCase
from minio.error import BucketAlreadyOwnedByYou
from projects.api.main import app
from projects.controllers.utils import uuid_alpha
from projects.object_storage import BUCKET_NAME, MINIO_CLIENT
PROJECT_ID = str(uuid_a... | 33.818182 | 109 | 0.679435 |
60f63706d0a669a9016e08a48eb9f8c151fdfb3d | 150 | py | Python | webinterface/admin.py | monoclecat/Cleaning-Schedule-generator | b12fa8a6f834a89b805bf062a0df45279a7a8796 | [
"MIT"
] | 2 | 2021-11-28T23:04:00.000Z | 2022-01-13T19:47:45.000Z | webinterface/admin.py | monoclecat/Cleaning-Schedule-generator | b12fa8a6f834a89b805bf062a0df45279a7a8796 | [
"MIT"
] | 25 | 2020-03-29T14:40:46.000Z | 2021-09-22T17:37:15.000Z | webinterface/admin.py | monoclecat/cleaning-schedule-management-system | b12fa8a6f834a89b805bf062a0df45279a7a8796 | [
"MIT"
] | 1 | 2020-07-04T11:42:17.000Z | 2020-07-04T11:42:17.000Z | from django.contrib import admin
from .models import *
admin.site.register(Cleaner)
admin.site.register(Schedule)
admin.site.register(ScheduleGroup)
| 21.428571 | 34 | 0.82 |
e8015df81023a8de49001c039ff464cc11555bbb | 4,552 | py | Python | test/inverted_minor_glitches/TestInvertedDarkWorld.py | Berserker66/ALttPEntranceRandomizer | 9c681cc65d7281ccded03484b050e8f80ea65dc6 | [
"MIT"
] | null | null | null | test/inverted_minor_glitches/TestInvertedDarkWorld.py | Berserker66/ALttPEntranceRandomizer | 9c681cc65d7281ccded03484b050e8f80ea65dc6 | [
"MIT"
] | 5 | 2020-01-18T21:10:46.000Z | 2020-01-25T20:58:19.000Z | test/inverted_minor_glitches/TestInvertedDarkWorld.py | Berserker66/ALttPEntranceRandomizer | 9c681cc65d7281ccded03484b050e8f80ea65dc6 | [
"MIT"
] | 2 | 2020-01-18T17:36:50.000Z | 2020-01-22T16:52:08.000Z | from test.inverted_minor_glitches.TestInvertedMinor import TestInvertedMinor
class TestInvertedDarkWorld(TestInvertedMinor):
def testNorthWest(self):
self.run_location_tests([
["Brewery", True, []],
["C-Shaped House", True, []],
["Chest Game", True, []],
... | 47.416667 | 144 | 0.516476 |
98bae1e6f2f7a76d8f24e1d208ca73ac7e417aab | 118 | py | Python | code/sensors/bluetooth/__init__.py | dieterpl/iDogstra | 62ee246763e107335b9caf0a4f96239fa0953234 | [
"MIT"
] | null | null | null | code/sensors/bluetooth/__init__.py | dieterpl/iDogstra | 62ee246763e107335b9caf0a4f96239fa0953234 | [
"MIT"
] | null | null | null | code/sensors/bluetooth/__init__.py | dieterpl/iDogstra | 62ee246763e107335b9caf0a4f96239fa0953234 | [
"MIT"
] | null | null | null | __all__ = ["SnapshotBTDataPipeline", "RecommendedSpeedPipeline", "UserDistanceEstimationPipeline", "ConstantPipeline"] | 118 | 118 | 0.838983 |
c777e6a05eef418ba32a4a85a83494e25b4ea88f | 3,606 | py | Python | src/onegov/org/theme/org_theme.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/org/theme/org_theme.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/org/theme/org_theme.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import os
from collections import OrderedDict
from onegov.foundation import BaseTheme
from onegov.core.utils import module_path
HELVETICA = '"Helvetica Neue", Helvetica, Roboto, Arial, sans-serif !default;'
ARIAL = 'Arial, sans-serif !default;'
VERDANA = 'Verdana, Geneva, sans-serif !default;'
COURIER_NEW = '"Courier... | 27.738462 | 78 | 0.551858 |
c7899b1ebf70d375ea1ce6d673919a68fc0b042d | 179 | py | Python | data_tests/saved__backend__/numba/default_params.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 88 | 2019-01-08T16:39:08.000Z | 2022-02-06T14:19:23.000Z | data_tests/saved__backend__py3.9/numba/default_params.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 13 | 2019-06-20T15:53:10.000Z | 2021-02-09T11:03:29.000Z | data_tests/saved__backend__py3.9/numba/default_params.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 1 | 2019-11-05T03:03:14.000Z | 2019-11-05T03:03:14.000Z | # __protected__ from numba import njit
# __protected__ @njit(cache=True, fastmath=True)
def func(a=1, b=None, c=1.0):
print(b)
return a + c
__transonic__ = ("0.4.7",)
| 16.272727 | 48 | 0.653631 |
c7b3cd3f1d223f17500f40e8b1a908944aa5130c | 2,168 | py | Python | src/augment_mask.py | tuanminh3395/gr-bone-age | 248c929d75e9d88dc9fa102ea11f4eae1e0f3157 | [
"MIT"
] | null | null | null | src/augment_mask.py | tuanminh3395/gr-bone-age | 248c929d75e9d88dc9fa102ea11f4eae1e0f3157 | [
"MIT"
] | null | null | null | src/augment_mask.py | tuanminh3395/gr-bone-age | 248c929d75e9d88dc9fa102ea11f4eae1e0f3157 | [
"MIT"
] | null | null | null | from data_mask import load_train_data
from constants import augmented_train_path, unet_train_path, unet_mask_path, augmented_sample_amount, desired_size
from unetdatagen import ImageDataGenerator
from train_unet import batch_size
import os
import shutil
import numpy as np
from skimage.transform import resize
def prepr... | 33.875 | 149 | 0.684502 |
406dc4e051baddc7a326782dd0ebb430f91b35c4 | 7,341 | py | Python | python/oneflow/compatible/single_client/test/ops/test_expand_op.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 3,285 | 2020-07-31T05:51:22.000Z | 2022-03-31T15:20:16.000Z | python/oneflow/compatible/single_client/test/ops/test_expand_op.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 2,417 | 2020-07-31T06:28:58.000Z | 2022-03-31T23:04:14.000Z | python/oneflow/compatible/single_client/test/ops/test_expand_op.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 520 | 2020-07-31T05:52:42.000Z | 2022-03-29T02:38:11.000Z | """
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agr... | 38.636842 | 87 | 0.616673 |
908bc491057e5bc6a1de09edbc09df970a808a4e | 676 | py | Python | python/en/archive/dropbox/programmers/04-2_fibonacci_number-recursion.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/dropbox/programmers/04-2_fibonacci_number-recursion.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/dropbox/programmers/04-2_fibonacci_number-recursion.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | # 04-1_fibonacci_number-iterative.py
# -*- coding: utf-8 -*-
# (04) 피보나치 순열
# 문제 설명
# 인자로 0 또는 양의 정수인 x 가 주어질 때, Fibonacci 순열의 해당 값을 구하여 반환하는 함수 solution() 을 완성하세요.
# Fibonacci 순열은 아래와 같이 정의됩니다.
# F0 = 0
# F1 = 1
# Fn = Fn - 1 + Fn - 2, n >= 2
# 재귀함수 작성 연습을 의도한 것이므로, 재귀적 방법으로도 프로그래밍해 보고, 반복적 방법으로도 프로그래밍해 보시기 바랍니다.
d... | 20.484848 | 80 | 0.510355 |
90924ffa8c5c8d226db6477ccf4e3694056a7c51 | 569 | py | Python | test_pyparsing_2.py | luluci/gui_env | 9c2ffe331c2dc8a7e128474ce9590498082de569 | [
"MIT"
] | null | null | null | test_pyparsing_2.py | luluci/gui_env | 9c2ffe331c2dc8a7e128474ce9590498082de569 | [
"MIT"
] | null | null | null | test_pyparsing_2.py | luluci/gui_env | 9c2ffe331c2dc8a7e128474ce9590498082de569 | [
"MIT"
] | null | null | null | import pyparsing as pp
def pa_keyword(match):
print("Keyword: " + str(match))
def pa_identifier(match):
print("identifier: " + str(match))
pp_rule1 = pp.Keyword("int").setParseAction(pa_keyword)
pp_identifier = pp.Word(pp.alphas+"_", pp.alphanums+"_").setParseAction(pa_identifier)
pp_type_decl = (
pp.Optional(pp... | 16.257143 | 86 | 0.664323 |
909675a0d51e34e506d13f0566b0bbe18245dcc4 | 284 | py | Python | frappe-bench/apps/erpnext/erpnext/support/doctype/warranty_claim/test_warranty_claim.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:55:29.000Z | 2021-04-29T14:55:29.000Z | frappe-bench/apps/erpnext/erpnext/support/doctype/warranty_claim/test_warranty_claim.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/support/doctype/warranty_claim/test_warranty_claim.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors and Contributors
# See license.txt
from __future__ import unicode_literals
import frappe
import unittest
test_records = frappe.get_test_records('Warranty Claim')
class TestWarrantyClaim(unittest.TestCase):
pass
| 23.666667 | 85 | 0.816901 |
290fd05671492215612b35126cdbcdc327e6e8f1 | 211 | py | Python | hello/hello_memcache.py | East196/hello-py | a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21 | [
"Apache-2.0"
] | 1 | 2017-10-23T14:58:47.000Z | 2017-10-23T14:58:47.000Z | hello/hello_memcache.py | East196/hello-py | a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21 | [
"Apache-2.0"
] | null | null | null | hello/hello_memcache.py | East196/hello-py | a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21 | [
"Apache-2.0"
] | 1 | 2018-04-06T07:49:18.000Z | 2018-04-06T07:49:18.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from pymemcache.client.base import Client
client = Client(('localhost', 11211))
client.set('some_key', 'some_value')
result = client.get('some_key')
print(result)
| 21.1 | 41 | 0.701422 |
4691dcbc7ee297a0da8b41a3f7e9c23505c62fc8 | 11,340 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/remote_management/manageiq/manageiq_alert_profiles.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/remote_management/manageiq/manageiq_alert_profiles.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/remote_management/manageiq/manageiq_alert_profiles.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright (c) 2017 Red Hat Inc.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
... | 37.302632 | 112 | 0.596825 |
46b72cdd9a5712084fee0547aba182f3d4e103f2 | 302 | py | Python | Python/Courses/Python-Tutorials.Telusko/01.Object-Oriented-Programming/12.Type-of-Variable-in-Class.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/01.Object-Oriented-Programming/12.Type-of-Variable-in-Class.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/01.Object-Oriented-Programming/12.Type-of-Variable-in-Class.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | # Two type of Variable in Python
# 1. Instance variable
# 2. Class(Static) variable
class Car:
wheels = 4
def __init__(self):
self.mil = 10
self.com = "BMW"
c1 = Car()
c2 = Car()
c1.mil = 8
Car.wheels = 5
print(c1.mil, c1.com, c1.wheels)
print(c2.mil, c1.com, c2.wheels)
| 13.727273 | 32 | 0.60596 |
9ed5374e360241ab5213818fa9e2efe269e60849 | 22,041 | py | Python | quant/observers/t_bfx_btc_usd.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 7 | 2017-10-22T15:00:09.000Z | 2019-09-19T11:45:43.000Z | quant/observers/t_bfx_btc_usd.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 1 | 2018-01-19T16:19:40.000Z | 2018-01-19T16:19:40.000Z | quant/observers/t_bfx_btc_usd.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 5 | 2017-12-11T15:10:29.000Z | 2018-12-21T17:40:58.000Z | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
from __future__ import division
import logging
import time
from quant import config
from quant.brokers import broker_factory
from .basicbot import BasicBot
class Arbitrage(BasicBot):
"""
btc和bt1 bt2的合成与分解套利
btc > bt1 + bt2: 卖btc 买bt1 bt2
btc < bt1 + bt2... | 48.335526 | 119 | 0.556599 |
6f46fafc853dabe984188e27f3a6098d4034452c | 162 | py | Python | PMIa/2015/KRAVCHENKO_A_A/Zadacha_2.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PMIa/2015/KRAVCHENKO_A_A/Zadacha_2.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PMIa/2015/KRAVCHENKO_A_A/Zadacha_2.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | print ('Ум - это не сосуд, который надо заполнить, а факел, который необходимо зажечь.')
print ('\n\t\t\t\t\t\t\t\t\tПлутарх')
input ('Для выхода нажмите enter')
| 40.5 | 88 | 0.703704 |
6f54cbbc119c285b1f7e42d1fce38954ca1aae6e | 1,529 | py | Python | sample/create_test_data.py | katsugeneration/schuss | 30e2303aa0646f0a4424cbc4b5422acc58a06218 | [
"Apache-2.0"
] | 6 | 2018-12-20T06:50:52.000Z | 2021-12-16T13:08:38.000Z | sample/create_test_data.py | katsugeneration/schuss | 30e2303aa0646f0a4424cbc4b5422acc58a06218 | [
"Apache-2.0"
] | 1 | 2020-06-29T07:00:51.000Z | 2020-06-29T07:00:51.000Z | sample/create_test_data.py | katsugeneration/schuss | 30e2303aa0646f0a4424cbc4b5422acc58a06218 | [
"Apache-2.0"
] | 1 | 2022-03-04T07:29:55.000Z | 2022-03-04T07:29:55.000Z | import random
import argparse
j_candidate = (list(range(0x3000, 0x301C)) +
list(range(0x3041, 0x3093)) +
list(range(0x30A1, 0x30F6)))
def create_miss_data(line):
pos = random.randint(0, len(line))
line = line[:pos] + chr(random.choice(j_candidate)) + line[pos+1:]
return lin... | 26.824561 | 70 | 0.533682 |
488fc399cf49b35b4e3bad0074f307433d8fb069 | 2,427 | py | Python | SleekSecurity/layers/plugins/attacks/lfi.py | GitInitDev/ZohoUniv | 966704837e65f58b52492b56d08e7958df3d220a | [
"Unlicense"
] | null | null | null | SleekSecurity/layers/plugins/attacks/lfi.py | GitInitDev/ZohoUniv | 966704837e65f58b52492b56d08e7958df3d220a | [
"Unlicense"
] | null | null | null | SleekSecurity/layers/plugins/attacks/lfi.py | GitInitDev/ZohoUniv | 966704837e65f58b52492b56d08e7958df3d220a | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
#
# @name: Wascan - Web Application Scanner
# @repo: https://github.com/m4ll0k/Wascan
# @author: Momo Outaadi (M4ll0k)
# @license: See the file 'LICENSE.txt'
from os import path
from json import loads
from re import search,I
from lib.utils.params import *
from lib.... | 26.966667 | 83 | 0.624227 |
824e77dcd0cf42867b972743715b6343b8eb9a54 | 2,545 | py | Python | python_gui_tkinter/Kivy/fbo_canvas.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python_gui_tkinter/Kivy/fbo_canvas.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python_gui_tkinter/Kivy/fbo_canvas.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | '''
FBO Canvas
==========
This demonstrates a layout using an FBO (Frame Buffer Off-screen)
instead of a plain canvas. You should see a black canvas with a
button labelled 'FBO' in the bottom left corner. Clicking it
animates the button moving right to left.
'''
__all__ = ('FboFloatLayout', )
from kivy.graphics impo... | 27.365591 | 76 | 0.640079 |
81cb705b5bcba5947790c713f2868dd0cc3b9464 | 300 | py | Python | exercises/zh/test_01_03_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | 2 | 2020-07-07T01:46:37.000Z | 2021-04-20T03:19:43.000Z | exercises/zh/test_01_03_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/zh/test_01_03_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | def test():
assert (
doc.text == "我喜欢老虎和狮子。"
), "你确定你正确处理了文本吗？"
assert first_token == doc[0], "你确定你选择了第一个词符吗？"
assert "print(first_token.text)" in __solution__, "你打印了词符的文本吗？"
assert 'spacy.blank("zh")' in __solution__, '你将spacy.blank设置为正确的语言了吗？'
__msg__.good("干得漂亮！")
| 33.333333 | 74 | 0.643333 |
6f8b6c7079517fa9482584e9fd02b49bae5673f1 | 1,281 | py | Python | Packs/DeveloperTools/Scripts/GetInstanceName/GetInstanceName.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/DeveloperTools/Scripts/GetInstanceName/GetInstanceName.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/DeveloperTools/Scripts/GetInstanceName/GetInstanceName.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
from typing import Dict, Any, Tuple
import traceback
def instance_check(instances, integration_name: str) -> Tuple[bool, Any]:
for instance_name, details in instances.items():
if details.get('brand') == int... | 28.466667 | 82 | 0.689305 |
fb416a7943a8c1b08d1e4c3c7cca322a1eeab081 | 441 | py | Python | setup.py | f1nan/kocha | 9b99c0add1fe1c85b11d68dd04d56e90112835ec | [
"MIT"
] | null | null | null | setup.py | f1nan/kocha | 9b99c0add1fe1c85b11d68dd04d56e90112835ec | [
"MIT"
] | null | null | null | setup.py | f1nan/kocha | 9b99c0add1fe1c85b11d68dd04d56e90112835ec | [
"MIT"
] | null | null | null | from setuptools import find_packages, setup
with open("README.md") as f:
readme = f.read()
with open("LICENSE") as f:
license = f.read()
setup(
name="kocha",
version="v1.0.0",
description="Chat application for the terminal.",
long_description=readme,
long_description_content_type="text/ma... | 22.05 | 53 | 0.675737 |
83949ec14cd52e9d65ef1453eed70bb1ac38037f | 2,813 | py | Python | packages/watchmen-data-kernel/src/watchmen_data_kernel/service/topic_structure_helper.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-data-kernel/src/watchmen_data_kernel/service/topic_structure_helper.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-data-kernel/src/watchmen_data_kernel/service/topic_structure_helper.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from typing import Optional
from watchmen_auth import PrincipalService
from watchmen_data_kernel.common import ask_replace_topic_to_storage, ask_sync_topic_to_storage, ask_trino_enabled
from watchmen_model.admin import Topic
from watchmen_utilities import is_blank
from .storage_helper import ask_topic_storage
def be... | 34.304878 | 114 | 0.812656 |
5434032dd298e17479fe9ba4ef06c3d7502a83a7 | 8,088 | py | Python | code/4/ga/magoff2.py | pwang13/AutomatedSE_Coursework | b416672d9756fcc60367143b989d29b0c905cfc3 | [
"Unlicense"
] | null | null | null | code/4/ga/magoff2.py | pwang13/AutomatedSE_Coursework | b416672d9756fcc60367143b989d29b0c905cfc3 | [
"Unlicense"
] | null | null | null | code/4/ga/magoff2.py | pwang13/AutomatedSE_Coursework | b416672d9756fcc60367143b989d29b0c905cfc3 | [
"Unlicense"
] | null | null | null | #%matplotlib inline
# All the imports
from __future__ import print_function, division
from math import *
import random
import sys
import matplotlib.pyplot as plt
# TODO 1: Enter your unity ID here
__author__ = "magoff2"
class O:
"""
Basic Class which
- Helps dynamic updates
- Pretty Prints
... | 28.680851 | 89 | 0.610534 |
546671771f0a213ce5cfa4b24feffd61335f6e26 | 312 | py | Python | tests/test_basic_func.py | joomogmbh/GrillMeister | b1b4935d4e7f27dc895d6b16462d5568fb708ff3 | [
"MIT"
] | 1 | 2019-04-22T13:52:01.000Z | 2019-04-22T13:52:01.000Z | tests/test_basic_func.py | joomogmbh/GrillMeister | b1b4935d4e7f27dc895d6b16462d5568fb708ff3 | [
"MIT"
] | null | null | null | tests/test_basic_func.py | joomogmbh/GrillMeister | b1b4935d4e7f27dc895d6b16462d5568fb708ff3 | [
"MIT"
] | null | null | null | from selenium import webdriver
import time
options = webdriver.ChromeOptions()
options.add_argument('--ignore-certificate-errors')
options.add_argument("--test-type")
options.binary_location = "/usr/bin/chromium-browser"
driver = webdriver.Chrome(chrome_options=options)
driver.get('http://127.0.0.1/grillen')
| 31.2 | 53 | 0.788462 |
b71f76047b594b1cf3dda6a28e816d7f99547827 | 305 | py | Python | backend/app/schemas/hint_image.py | jinnn-dev/patholearn | b4e6a18cfbf963e71640ed6cac3fc3a618a7ae15 | [
"MIT"
] | 1 | 2022-02-20T12:45:04.000Z | 2022-02-20T12:45:04.000Z | backend/app/schemas/hint_image.py | JamesNeumann/learning-by-annotations | c2b5e4b653eeb1c973aa5a7dad35ac8be18cb1ad | [
"MIT"
] | 21 | 2021-11-01T10:13:56.000Z | 2021-12-02T10:02:13.000Z | backend/app/schemas/hint_image.py | jinnn-dev/patholearn | b4e6a18cfbf963e71640ed6cac3fc3a618a7ae15 | [
"MIT"
] | 1 | 2021-12-16T18:20:55.000Z | 2021-12-16T18:20:55.000Z | from pydantic import BaseModel
class HintImageBase(BaseModel):
image_name: str
class Config:
orm_mode = True
class HintImage(HintImageBase):
id: int
class HintImageCreate(HintImageBase):
task_hint_id: int
class HintImageUpdate(HintImageBase):
pass
| 14.52381 | 38 | 0.678689 |
3fb27c2ccc12cc5e6f2132984f9e818d2d7ea93f | 579 | py | Python | leetcode/074-Search-a-2D-Matrix/Searcha2DMatrix_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | leetcode/074-Search-a-2D-Matrix/Searcha2DMatrix_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/074-Search-a-2D-Matrix/Searcha2DMatrix_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution:
# @param {integer[][]} matrix
# @param {integer} target
# @return {boolean}
def searchMatrix(self, matrix, target):
if len(matrix) == 0 or len(matrix[0]) == 0:
return False
m, n = len(matrix), len(matrix[0])
l, r = 0, m * n - 1
while l <= r:
... | 25.173913 | 51 | 0.417962 |
3ffce4869a98168950e48cb1ec10eb3f474cd953 | 1,409 | py | Python | Problems/Dynamic Programming/Hard/BestTimeBuySellStockIV/best_time_buy_sell_stock_iv.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Problems/Dynamic Programming/Hard/BestTimeBuySellStockIV/best_time_buy_sell_stock_iv.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Problems/Dynamic Programming/Hard/BestTimeBuySellStockIV/best_time_buy_sell_stock_iv.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | from functools import lru_cache
from typing import List
# Top-Down (Memoization)
# TC: O(N * K * 2) = O(N * K); SC: O(N * K * 2) = O(N * K)
def maxProfit(self, k: int, prices: List[int]) -> int:
@lru_cache(None)
def dp(i: int, trans_left: int, hold: int) -> int:
if trans_left == 0 or i == len(prices):... | 38.081081 | 100 | 0.466288 |
b21005fd2ee1bf87a2a6992b64d6d3cac6d05f5f | 505 | py | Python | Chess-And-Rice-Grain.py | RootKimi/Hallo-World | 975751a1b1f27e5f0917da320ac0d3ecd63f0e9b | [
"CC0-1.0"
] | null | null | null | Chess-And-Rice-Grain.py | RootKimi/Hallo-World | 975751a1b1f27e5f0917da320ac0d3ecd63f0e9b | [
"CC0-1.0"
] | null | null | null | Chess-And-Rice-Grain.py | RootKimi/Hallo-World | 975751a1b1f27e5f0917da320ac0d3ecd63f0e9b | [
"CC0-1.0"
] | null | null | null | print ("Schachfeld Nummer 1:")
print ("1 Reiskorn")
print ("Die Summe an Reiskörnern ist: 1")
feldnummer = 2
reiskorn = 1
summe = reiskorn
while feldnummer < 65:
reiskorn = reiskorn * 2
summe = reiskorn + summe
print (f"Schachfeld Nummer {feldnummer}:")
print ("Reiskörner auf dem Feld:")
prin... | 24.047619 | 59 | 0.661386 |
4d5b0c28fd36cda0d8eb1dc452dab390413563f6 | 3,039 | py | Python | criterion/__init__.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | 2 | 2020-12-22T08:40:05.000Z | 2021-03-30T08:09:44.000Z | criterion/__init__.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | null | null | null | criterion/__init__.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@description:
@author: LiuXin
@contact: xinliu1996@163.com
@Created on: 2020/11/27 上午11:18
"""
import torch
import torch.nn as nn
from criterion.WCELoss import WCELoss
from criterion.FocalLoss import FocalLoss
from criterion.DiceLoss import DiceLoss
from criterion.IouLoss import IouLoss
fr... | 27.627273 | 78 | 0.620928 |
128a07902d994976e40349091769b8ddd5dcd2d4 | 1,930 | py | Python | utils/model_scaffolding/src/local_adapter.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | utils/model_scaffolding/src/local_adapter.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | utils/model_scaffolding/src/local_adapter.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... | 31.129032 | 78 | 0.661658 |
421fcce4e4a293330892a94e2a99aef2218462fb | 5,542 | py | Python | test/test_npu/test_conv_transposed1d.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | test/test_npu/test_conv_transposed1d.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | test/test_npu/test_conv_transposed1d.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020, Huawei Technologies.All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD-3-Clause
#
# Unless required by applicable law... | 61.577778 | 148 | 0.601227 |
677e5b7afe3920e484e46953381a86dea3e5956f | 2,309 | py | Python | TG-Bridger-master/config.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | TG-Bridger-master/config.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | TG-Bridger-master/config.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | from telethon.sync import TelegramClient
from telethon.tl.functions.messages import GetDialogsRequest
from telethon.errors import SessionPasswordNeededError
from telethon.tl.types import InputPeerEmpty, InputPeerChannel, InputPeerUser
import getpass
import sys
import os
import json
from dotenv import load_dotenv
load... | 27.164706 | 77 | 0.619316 |
67c5da8d000188a935be7d9b00839873e839e040 | 2,099 | py | Python | python/en/archive/dropbox/ec2-oregon/utils.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/dropbox/ec2-oregon/utils.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/dropbox/ec2-oregon/utils.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# _*_ coding: utf-8 _*_
import os
import numpy as np
from time import gmtime
from time import strftime
from scipy.io import wavfile
from python_speech_features import mfcc
# make a directory under dir_ if no directory exists for device_id_
# The created directory is dir_/device_i... | 36.824561 | 130 | 0.705574 |
221e320bd8d805de20e35a15a2af1ea11669fa6e | 3,973 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/ch07_recursion_advanced/solutions/ex03_lcs.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch07_recursion_advanced/solutions/ex03_lcs.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch07_recursion_advanced/solutions/ex03_lcs.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
def lcs(str1, str2):
return __lcs_helper(str1, str2, len(str1) - 1, len(str2) - 1)
def __lcs_helper(str1, str2, pos1, pos2):
# rekursiver Abbruch
if pos1 < 0 or pos2 < 0:
return ""
# Sind die Zeichen glei... | 30.328244 | 77 | 0.616411 |
3f5e7e19c1518fc9169e3bd7130377433ab512db | 110,577 | py | Python | frds/data/wrds/comp/fundq.py | mgao6767/wrds | 7dca2651a181bf38c61ebde675c9f64d6c96f608 | [
"MIT"
] | 31 | 2020-06-17T13:19:12.000Z | 2022-03-27T08:56:38.000Z | frds/data/wrds/comp/fundq.py | mgao6767/wrds | 7dca2651a181bf38c61ebde675c9f64d6c96f608 | [
"MIT"
] | null | null | null | frds/data/wrds/comp/fundq.py | mgao6767/wrds | 7dca2651a181bf38c61ebde675c9f64d6c96f608 | [
"MIT"
] | 8 | 2020-06-14T15:21:51.000Z | 2021-09-29T06:28:53.000Z | from dataclasses import dataclass
import numpy as np
import pandas as pd
from frds.data.wrds import WRDSDataset
@dataclass
class Fundq(WRDSDataset):
"""Fundamentals Quarterly"""
data: pd.DataFrame
library = "comp"
table = "fundq"
index_col = ["gvkey", "datadate"]
date_cols = ["datadate"]
... | 32.275832 | 118 | 0.59629 |
36914cafa86db3aa3b3837046740697a22eb0ced | 1,932 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/ch06_arrays/solutions/ex07_spiral_traversal.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch06_arrays/solutions/ex07_spiral_traversal.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch06_arrays/solutions/ex07_spiral_traversal.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
from enum import Enum
from ch06_arrays.intro.intro import get_dimension
class Direction(Enum):
RIGHT = (0, 1)
DOWN = (1, 0)
LEFT = (0, -1)
UP = (-1, 0)
def spiral_traversal(values2dim):
pos_x = 0
pos_y ... | 20.125 | 50 | 0.445652 |
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