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values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
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1133751286 | #!/usr/bin/env python
# encoding: utf-8
"""
@file: keylogger.py
@time: 2022/5/25 13:56
@project: black-hat-python-2ed
@desc: P151 键盘记录
在Windows下运行时，需要将venv/Lib/site-packages/pywin32_system32目录下的pythoncom38.dll、pywintypes38.dll复制到C:\Windows\System32里面
"""
import sys
import time
from ctypes import windll, c_ulong, byref,... | Relph1119/black-hat-python-2nd | codes/ch08/keylogger.py | keylogger.py | py | 2,937 | python | en | code | 23 | github-code | 90 |
18388202298 | import os
# cross site request forgery
WTF_CSRF_ENABLED = True
# validatation token
SECRET_KEY = 'you-will-never-guess'
basedir = os.path.abspath(os.path.dirname(__file__))
SQLALCHEMY_TRACK_MODIFICATIONS = False
SQLALCHEMY_DATABASE_URI = 'sqlite:///' + os.path.join(basedir, 'app.db')
SQLALCHEMY_MIGRATE_REPO = os.path... | apex-omontgomery/CapeeshV2 | config.py | config.py | py | 345 | python | en | code | 0 | github-code | 90 |
38733021997 | """
Client side operation, using Tkinter for the GUI
"""
from socket import AF_INET, socket, SOCK_STREAM
from threading import Thread
import tkinter
def receiveMessage():
while True:
try:
msg = client_socket.recv(BUFSIZ).decode("utf8")
msgList.insert(tikinter.END, msg)
except OSError: #If the client leav... | AliShahram/Python-Chatbot | client.py | client.py | py | 2,051 | python | en | code | 3 | github-code | 90 |
6951018925 | import math
class Solution:
def next(self, x0, x):
return x0 - (x0 * x0 - x) / 2 / x0
def mySqrt(self, x):
"""
:type x: int
:rtype: int
"""
ret = 1
tmp = self.next(ret, x)
for _ in range(100):
ret = tmp
tm... | Nov11/punchcarding | 69. Sqrt(x).py | 69. Sqrt(x).py | py | 453 | python | en | code | 0 | github-code | 90 |
18275749539 | #Macで実行する時
import sys
import os
if sys.platform=="darwin":
base = os.path.dirname(os.path.abspath(__file__))
name = os.path.normpath(os.path.join(base, '../atcoder/input.txt'))
#print(name)
sys.stdin = open(name)
a, b = map(int,input().split())
c = int(a/b)
if a%b!=0:
c+=1
print(c)
| Aasthaengg/IBMdataset | Python_codes/p02783/s092152393.py | s092152393.py | py | 308 | python | en | code | 0 | github-code | 90 |
10400217628 | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 8 16:09:43 2019
@author: admin
"""
'''
编写一个程序，通过已填充的空格来解决数独问题。
一个数独的解法需遵循如下规则：
数字 1-9 在每一行只能出现一次。
数字 1-9 在每一列只能出现一次。
数字 1-9 在每一个以粗实线分隔的 3x3 宫内只能出现一次。
空白格用 '.' 表示。
一个数独。
答案被标成红色。
Note:
给定的数独序列只包含数字 1-9 和字符 '.' 。
你可以假设给定的数独只有唯一解。
给定数独永远是 9x9 形式的。
'''
class Sol... | k8godzilla/-Leetcode | 1-100/L037.py | L037.py | py | 3,819 | python | en | code | 0 | github-code | 90 |
6768152730 | vehicles = {
'dream': 'Honda 250T',
'er5': 'Kawasaki ER5',
'can-am': 'Bombardier Can-Am 250',
'virago': 'Yamaha XV250',
'tenere': 'Yamaha XT650',
'jimny': 'Suzuki Jimny 1.5',
'fiesta': 'Ford Fiesta Ghia 1.4',
'roadster': 'Triumph Street Triple'
}
# my_car = vehicles['Fiesta']
# print(my... | ZhaoyangChen101/Python-Course | DictAndSet/dict_intro.py | dict_intro.py | py | 1,699 | python | zh | code | 0 | github-code | 90 |
19369261282 | # -*- coding: utf-8 -*-
from cjson import decode as json_decode, encode as json_encode
import unittest2
import psycopg2
import urllib2
import os
def url_access(url, data="", method="GET"):
opener = urllib2.build_opener(urllib2.HTTPHandler)
request = urllib2.Request(url, data)
request.get_method = lambda: ... | jianingy/minitree | test/test_update.py | test_update.py | py | 3,276 | python | en | code | 1 | github-code | 90 |
73842401576 | import numpy as np
np.random.seed(222)
NUM_ROWS = NUM_COLS = 9
MIN_VAL = 1
MAX_VAL = 9
# sum automaton class
class Candidate:
def __init__(self, board):
self.board = board.copy()
self.fixed_board = board.copy() # save the fixed cells of the board
self.fitness = 0
self.prob = 0
... | IdanAchituve/sudoku_solver_with_genetic_algorithm | game_board.py | game_board.py | py | 3,608 | python | en | code | 0 | github-code | 90 |
18106198839 | import sys
ERROR_INPUT = 'input is invalid'
def main():
n = get_length()
arr = get_array(length=n)
sourtLi, count = selectionSort(li=arr, length=n)
print(*sourtLi)
print(count)
return 0
def get_length():
n = int(input())
if n < 0 or n > 100:
print(ERROR_INPUT)
sys.e... | Aasthaengg/IBMdataset | Python_codes/p02260/s000626618.py | s000626618.py | py | 941 | python | en | code | 0 | github-code | 90 |
36334295047 | from aws_cdk import Stack, aws_s3 as s3
from constructs import Construct
from multilens.constructs.image_convert import ImageConvert
from multilens.constructs.line_api import LineApi, LineApiCredential
class MultilensStack(Stack):
def __init__(
self,
scope: Construct,
construct_id: str,
... | hrfmtzk/multilens-backend | multilens/stacks/multilens_stack.py | multilens_stack.py | py | 890 | python | en | code | 0 | github-code | 90 |
36687129051 | import argparse
import sys
from argparse import ArgumentParser
from .cmds import CMDS, make_parser
def main() -> None:
parser = make_parser()
args = parser.parse_args()
if args.action in CMDS:
CMDS[args.action].execute(args)
else:
parser.print_help(sys.stderr)
sys.exit(1)
i... | browsermt/bergamot-translator | bindings/python/__main__.py | __main__.py | py | 357 | python | en | code | 263 | github-code | 90 |
39820720653 |
import json
import streamlit as st
def create_apikey():
private_key_id = st.secrets["private_key_id"]
private_key = st.secrets["private_key"]
client_id = st.secrets["client_id"]
dictionary = {
"type": "service_account",
"project_id": "ai-learning-text-to-speech",
"private_key_id": private... | arjunprakash027/voicy_website | credentials.py | credentials.py | py | 1,046 | python | en | code | 0 | github-code | 90 |
43676456365 | import logging
from subprocess import Popen, PIPE
from settings.testu01 import TestU01Settings
from settings.general import GeneralSettings
from results.testu01 import TestU01Result, TestU01ResultFactory
class TestU01Execution:
def __init__(self, testu01_settings: TestU01Settings,
general_setting... | pvavercak/rtt-py | src/executions/testu01.py | testu01.py | py | 3,757 | python | en | code | 0 | github-code | 90 |
23430010115 | """
-------------------------------------------------------
test_sorts_array.py
Tests various array-based sorting functions.
-------------------------------------------------------
Author: Ross Malcolm
ID: 170514930
Email: malc4930@mylaurier.ca
__updated__ = "2017-08-20"
----------------------------------------... | RossMalcolm/Data-Structures | malc4930_data_structures/src/test_sorts_array.py | test_sorts_array.py | py | 4,005 | python | en | code | 0 | github-code | 90 |
73578450217 | # Type casting
type_str = 'hello world'
type_int = 109
type_float = 10.5
type_bool = True
a = 10
converted_a = str(a)
converted_a_float = float(a)
# print(converted_a_float)
# print(type(converted_a))
b = 15.9
converted_b = str(b)
converted_b_int = int(b)
# print(converted_b_int)
c = False
converted_c = int(c)
con... | algork-io/PythonBootcamp | 2022-12-03-operators-and-conditional-statements.py | 2022-12-03-operators-and-conditional-statements.py | py | 1,410 | python | en | code | 0 | github-code | 90 |
20240606162 | from torch import nn
from torchlibrosa import SpecAugmentation
class BasicBlock(nn.Module):
def __init__(self, in_channel, out_channel, stride=1, downsample=None, **kwargs):
super(BasicBlock, self).__init__()
self.conv1 = nn.Conv2d(in_channels=in_channel, out_channels=out_channel,
... | ruwenda/ResNet-based-Bio-acoustics-Presence-Detection-Technology-of-Hainan-Gibbon-Calls | model/BPDnet.py | BPDnet.py | py | 3,272 | python | en | code | 0 | github-code | 90 |
18398448509 | import bisect
import sys
input=sys.stdin.readline
N,Q=map(int,input().split())
STX=[list(map(int,input().split())) for i in range(N)]
STX.sort(key=lambda x:x[2])
ans=[-1]*Q
jump=[-1]*Q
D=[int(input()) for i in range(Q)]
for s,t,x in STX:
l=bisect.bisect_left(D,s-x)
r=bisect.bisect_left(D,t-x)
while(l<r):
... | Aasthaengg/IBMdataset | Python_codes/p03033/s188112598.py | s188112598.py | py | 481 | python | en | code | 0 | github-code | 90 |
38305016020 |
# this function return a string where the last three chars are now in upper case
# if the string has lees than 3 chars, uppercase whatever is there
def end_up(str):
s = ""
if len(str) < 3:
s = str.upper()
else:
last3 = str[-3:].upper()
s = str[:len(str) - 3] + last3
return s
print(end_up("hello"))
print(e... | jemtca/CodingBat | Python/Warmup-1/end_up.py | end_up.py | py | 359 | python | en | code | 0 | github-code | 90 |
8970592846 | from __future__ import absolute_import, division, print_function, unicode_literals
from datetime import date, datetime
from dateutil import parser
from decimal import Decimal
from amaascore.assets.asset import Asset
class Derivative(Asset):
def __init__(self, asset_manager_id, asset_id, asset_issuer_id=None,
... | amaas-fintech/amaas-core-sdk-python | amaascore/assets/derivative.py | derivative.py | py | 1,358 | python | en | code | 0 | github-code | 90 |
71207193576 | import json
import csv
books = []
def percentage(category):
return (category * 100) / len(books)
with open("books.json") as file:
for jsonObj in file:
booksDict = json.loads(jsonObj)
books.append(booksDict)
categories = {
"Python": 0,
"Java": 0,
"PHP": 0,
}
for book in books:
... | lucasportella/Trybe | exercises/module4/python-read-write-files/exercicio4.py | exercicio4.py | py | 815 | python | en | code | 0 | github-code | 90 |
11844567326 | from django.db import models
from django_celery_results.models import TaskResult
from lib import utils
from django.contrib.auth.models import User
class Project(models.Model):
BLOCK = 0
NORMAL = 1
STATUS_CHOICES = (
(BLOCK, '停用'),
(NORMAL, '正常'),
)
name = models.CharField(max_len... | chenzejian/seagull | app/models.py | models.py | py | 2,671 | python | en | code | 1 | github-code | 90 |
39244783657 | """ Monitors """
import numpy as np
class Monitor(object):
def __init__(self, experiment, group_cells_name, state_name, duration=None) -> None:
"""
Monitor constructor.
A monitor saves the state of a group of cells as a Numpy array.
Parameters
----------
experiment : object
Experime... | SocratesNFR/EvoDynamic | evodynamic/experiment/monitor.py | monitor.py | py | 2,557 | python | en | code | 19 | github-code | 90 |
72764001897 | # -*- coding: utf-8 -*-
from __future__ import division, print_function
from keras.layers import Input
from keras.layers.core import Dense
from keras.models import Model
from sklearn.preprocessing import StandardScaler
import numpy as np
import os
import pandas as pd
import matplotlib.pyplot as plt
DATA_DIR = "data"
... | PacktPublishing/Deep-Learning-with-Keras | Chapter07/air-quality-regression.py | air-quality-regression.py | py | 2,235 | python | en | code | 1,049 | github-code | 90 |
73640764456 | import logging
import random
import numpy as np
import torch
import gc
import os
from collections import Counter
import seaborn as sns
import wandb
import time
import matplotlib.pyplot as plt
from sklearn.metrics import classification_report
from transformers import BertTokenizer, BertTokenizerFast, XLMTokenizer, XLM... | pauli31/srl-aspect-based-sentiment | fine_tuning/fine_tuning_torch.py | fine_tuning_torch.py | py | 34,298 | python | en | code | 1 | github-code | 90 |
32643784670 | from django import forms
from budgeted_hours.models import Categories
from django.core.exceptions import ValidationError
class CategoriesForm(forms.ModelForm):
class Meta:
model = Categories
fields = ('category',)
labels = {
'category': 'Nombre'
}
# def clean(sel... | SantiagoChaparro23/PHC | budgeted_hours/forms/categories_form.py | categories_form.py | py | 644 | python | en | code | 0 | github-code | 90 |
5145197717 | from qqbot import QQBotSlot as qqbotslot, RunBot
import random
@qqbotslot
def onQQMessage(bot, contact, member, content):
if content == "help":
bot.SendTo(contact, '输入.help查找帮助，使用.r空格后输入骰子，再空格后输入判定名称~\n'
'加减法的运算为.add空格后接加法，.sub空格后接减法\n'
'这个bot写得时间很短而且... | JosukeCrazyDiamond/diceBot | botS.py | botS.py | py | 1,529 | python | en | code | 0 | github-code | 90 |
18208644799 | N = int(input())
A = list(map(int, input().split()))
cap = [[0, 0] for _ in range(N+1)]
cap[-1] = [A[-1], A[-1]]
for i in range(N-1,-1,-1):
cap[i][0] = (cap[i+1][0] + 2 - 1)//2
cap[i][1] = cap[i+1][1] + A[i]
ans = 1
nodes = 1
failed = nodes < cap[0][0]
for i in range(N):
nodes = min((nodes - A[i])*2, cap[i+... | Aasthaengg/IBMdataset | Python_codes/p02665/s970241278.py | s970241278.py | py | 437 | python | en | code | 0 | github-code | 90 |
18464455729 | import sys
sys.setrecursionlimit(10**5)
#print(sys.getrecursionlimit())
n,m=map(int,input().split())
dp=[-1]*n
E=[ [] for i in range(n) ]
for i in range(m):
x,y=map(int,input().split())
x-=1
y-=1
E[x].append(y)
def rec(v):
if dp[v]!=-1:return dp[v]
res=0
for nv in E[v]:
res=max(res,rec(nv)+1)
dp[v... | Aasthaengg/IBMdataset | Python_codes/p03166/s935819047.py | s935819047.py | py | 397 | python | en | code | 0 | github-code | 90 |
35577646463 | #This code imports the necessary modules.
import random
import os
from collections import defaultdict
import datetime
import re
from unidecode import unidecode
#this code retrieves the date and time from the computer, to create the timestamp
right_now = datetime.datetime.now().isoformat()
list = []
for i in right_n... | Mystified131/Rachel | PoetryByRandomness.py | PoetryByRandomness.py | py | 2,582 | python | en | code | 2 | github-code | 90 |
7943499805 | import os
from setuptools import setup
def _package_files(directory: str, suffix: str) -> list:
"""
Get all of the file paths in the directory specified by suffix.
:param directory:
:return:
"""
paths = []
for (path, directories, filenames) in os.walk(directory):
fo... | sensepost/sensecon_bot | setup.py | setup.py | py | 1,379 | python | en | code | 0 | github-code | 90 |
17953237369 | def solve(V, G):
ans = 0
for i in range(V - 1):
for j in range(i + 1, V):
direct = G[i][j]
for k in range(V):
if k == i or k == j:
continue
ind = G[i][k] + G[k][j]
if direct > ind:
return -1
... | Aasthaengg/IBMdataset | Python_codes/p03600/s559858274.py | s559858274.py | py | 603 | python | en | code | 0 | github-code | 90 |
3833099109 | import pandas as pd
from nltk.corpus import stopwords
from collections import Counter
import matplotlib.pyplot as plt
import nltk
nltk.download('stopwords')
def load_and_preprocess_data(file_path):
df = pd.read_csv(file_path)
stop_words = set(stopwords.words('english'))
all_comments = ' '.join(df['... | vkakash1108/FODS | 14.py | 14.py | py | 1,253 | python | en | code | 0 | github-code | 90 |
40466742983 | # this example is used to make the animation in the readme.
# It is also set up to accept any geometry and the mesh tally will adapt to the geometry dimensions
import openmc
from matplotlib.colors import LogNorm
from openmc_regular_mesh_plotter import plot_mesh_tally
from matplotlib import cm
import matplotlib.pyplot... | fusion-energy/openmc_regular_mesh_plotter | examples/plot_with_custom_color_map.py | plot_with_custom_color_map.py | py | 7,850 | python | en | code | 4 | github-code | 90 |
19797191934 | #!/usr/bin/python
# -*-coding:utf8-*-
"""
@author: LieOnMe
@time: 2019/8/1 23:06
"""
import glob
import os
import numpy as np
import tensorflow as tf
from PIL import Image
from model.gan import Generator, Discriminator
from utils import conf
from utils.dataset import make_anime_dataset
tf.random.set_seed(22)
np.ra... | kaisayi/bordercollie | src/model/gan_train.py | gan_train.py | py | 5,046 | python | en | code | 0 | github-code | 90 |
17178514676 | import argparse
import pandas as pd
import numpy as np
import torch
from GPTDecoder import GPTDecoder
from Train import train
from Data import get_data
import random
label_list = ['org:member_of', 'per:schools_attended', 'per:charges', 'org:city_of_headquarters',
'org:country_of_headquarter... | whnhch/positional_embedding | GPT_positional_embedding/main.py | main.py | py | 4,548 | python | en | code | 0 | github-code | 90 |
13907622631 | import csv
from geopy.geocoders import Nominatim
import simplekml
import pandas as pd
import argparse
def read_csv(file):
"""Reads addresses from input CSV"""
locations_list = []
locations_file = csv.reader(open(file, 'r'))
for row in locations_file:
locations_list.append(row)
return lo... | nixintel/Add2Coords | coords.py | coords.py | py | 2,430 | python | en | code | 5 | github-code | 90 |
40651239324 | from typing import Generator
from torch import Tensor
from torchvision.datasets import MNIST
from sequoia.utils.logging_utils import log_calls
from .environment import ActiveEnvironment
class ActiveMnistEnvironment(ActiveEnvironment[Tensor, Tensor, Tensor]):
"""An Mnist environment which will keep showing the ... | lebrice/Sequoia | sequoia/settings/rl/environment_test.py | environment_test.py | py | 3,190 | python | en | code | 185 | github-code | 90 |
74198366056 | #By considering terms in Fibonacci sequence whose value do not exceed four million,find the sum of even-valued terms
first_term=0
second_term=1
total_sum=0
for i in range(1,11):
third_term=first_term+second_term
first_term=second_term
second_term=third_term
if(third_term<4000000 and third_term%2==0):
total_sum+=... | GunarajKhatri/python-challanges | projecteuler.net _problems/problem2.py | problem2.py | py | 348 | python | en | code | 0 | github-code | 90 |
10150036798 | import tensorflow as tf
import mnist_inference
import mnist_train
import numpy as np
import os
import linecache
import os.path
rootdir="H:/deep_learning/stripe_surface/deep_learning/Covnet/data/"
os.chdir(rootdir)
test_size = len(os.listdir("testColloction/"))
def readData(filename,labellen,datalen):
lines=lineca... | SagacitySucura/Machine_Learning | CNN/mnist_eval.py | mnist_eval.py | py | 2,593 | python | en | code | 0 | github-code | 90 |
18436460899 | A,B,K = map(int, input().split())
lim = min(A,B)
count = 0
for i in range(lim,0,-1):
if A%i == 0 and B%i == 0:
count += 1
if count == K:
print(i)
break | Aasthaengg/IBMdataset | Python_codes/p03106/s244664671.py | s244664671.py | py | 175 | python | en | code | 0 | github-code | 90 |
5797304909 | import os
import json
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--dataset', type=str, default='nuscenes')
parser.add_argument('--step', type=int, default='-1')
parser.add_argument('--metric', type=str, default='mean_dist_aps')
parser.add_argument('--thresh', type=str, default="")
args = p... | peiyunh/wysiwyg | second/utils/print_test.py | print_test.py | py | 1,161 | python | en | code | 110 | github-code | 90 |
26447482494 | from indicators.SingleValueIndicator import SingleValueIndicator
from indicators.SMA import SMA
class AO(SingleValueIndicator):
def __init__(self, periodFast, periodSlow, timeSeries = None):
super(AO, self).__init__()
self.periodFast = periodFast
self.periodSlow = periodSlow
self.smaFast = SMA(periodFast)
... | nardew/creten | creten/indicators/AO.py | AO.py | py | 903 | python | en | code | 10 | github-code | 90 |
2356200336 |
from twisted.cred import credentials, error
from xcap.web.auth.interfaces import ICredentialFactory
from zope.interface import implements
class BasicCredentialFactory(object):
"""
Credential Factory for HTTP Basic Authentication
"""
implements(ICredentialFactory)
scheme = 'basic'
def __ini... | AGProjects/openxcap | xcap/web/auth/basic.py | basic.py | py | 817 | python | en | code | 15 | github-code | 90 |
21956904170 | import numpy as np
from scipy import signal
from skimage.util import view_as_blocks
def optical_flow_fast(I1g, I2g, window_size, tau=1e-2):
assert I1g.shape == I2g.shape
assert I1g.shape[0] % window_size == 0 and I1g.shape[1] % window_size == 0
kernel_x = np.array([[-1., 1.],
[-1.... | MaratZakirov/demos | lukas_kanade_batched.py | lukas_kanade_batched.py | py | 1,776 | python | en | code | 0 | github-code | 90 |
5166647705 | # This code is for the server
# Lets import the libraries
import socket, cv2, threading
import screeninfo #pip install screeninfo
#
#width = 1920
#height = 1080
cap = cv2.VideoCapture('mon1.mp4')
screen_id = 0
screen = screeninfo.get_monitors()[screen_id]
width, height = screen.width, screen.height
dim = ... | kwgarylam/Sockets | server.py | server.py | py | 3,786 | python | en | code | 0 | github-code | 90 |
18566040889 | lis = []
for _ in range(3):
lis.append(list(map(int, input().split())))
flag1 = 0
flag2 = 0
for a1 in range(101):
b1 = lis[0][0] - a1
b2 = lis[0][1] - a1
b3 = lis[0][2] - a1
for a2 in range(101):
if a2 + b1 == lis[1][0] and a2 + b2 == lis[1][1] and a2 + b3 == lis[1][2]:
fla... | Aasthaengg/IBMdataset | Python_codes/p03435/s836124710.py | s836124710.py | py | 673 | python | en | code | 0 | github-code | 90 |
38217335395 | def define_targets(rules):
rules.cc_library(
name = "TypeCast",
srcs = ["TypeCast.cpp"],
hdrs = ["TypeCast.h"],
linkstatic = True,
local_defines = ["C10_BUILD_MAIN_LIB"],
visibility = ["//visibility:public"],
deps = [
":base",
"//c10/co... | fengbingchun/PyTorch_Test | src/pytorch/c10/util/build.bzl | build.bzl | bzl | 1,884 | python | en | code | 14 | github-code | 90 |
11207898276 | """
In this simple RPG game, the hero fights the goblin. He has the options to:
1. fight goblin
2. do nothing - in which case the goblin will attack him anyway
3. flee
"""
from random import randint
class Character:
def __init__(self):
self.health = 0
self.power = 0
self.name = ""
... | cmkemp52/rpg-starter | rpg-2.py | rpg-2.py | py | 4,284 | python | en | code | null | github-code | 90 |
70193317736 | title = "Combo boxes"
description = """
The ComboBox widget allows to select one option out of a list.
The ComboBoxEntry additionally allows the user to enter a value
that is not in the list of options.
How the options are displayed is controlled by cell renderers.
"""
from gi.repository import Gtk, Gdk, GdkPixbuf,... | GNOME/pygobject | examples/demo/demos/combobox.py | combobox.py | py | 10,189 | python | en | code | 144 | github-code | 90 |
35275780039 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
# Ques 1) Create a function that takes a number as an argument and returns True or False depending on whether the number is
# symmetrical or not. A number is symmetrical when it is the same as its reverse.
# In[2]:
def is_symmetrical(number):
number_str = str(n... | SameerSingh2901/Python-Basic-Assignments-ineuron | Python-Programming-Assignments/23. Python Programming 23 ineuron.py | 23. Python Programming 23 ineuron.py | py | 1,749 | python | en | code | 0 | github-code | 90 |
70537756777 | # -*- coding: utf-8 -*-
"""
Created on Mon Feb 3 15:50:05 2020
@author: israe
"""
import os
import numpy as np
import matplotlib.pyplot as plt
os.chdir('D:\\Bibliotecas_Usuario\\Documentos\\Documentos\\UFS\\Estudo_de_Computação\\python_matlab\python_ML\data')
data = np.genfromtxt("web_traffic.tsv", delimiter = "\... | israeljsf95/python_matlab | python_ML/ex3.py | ex3.py | py | 1,797 | python | en | code | 0 | github-code | 90 |
7983822838 | import pytest
import time
from collections import Counter
class Solution(object):
def product_of_array_except_self_SS(self, nums:list)-> list:
answer = {}
temp_multiplication = 1
for idx in range(len(nums)):
answer[idx] = answer.get(idx,0) + temp_multiplication
... | SahandSomi/algorithms-exercise | Array & Hashing/Product of Array Except Self/product_of_array_except_self.py | product_of_array_except_self.py | py | 1,445 | python | en | code | 0 | github-code | 90 |
13002644758 |
def solution(progresses, speeds):
answer = []
while progresses:
# 진행
for i in range(len(progresses)):
progresses += speeds[i]
# 개수세기
cnt = 0
while progresses[0] >= 100:
progresses.pop(0)
speeds.pop(0)
cnt += 1
answ... | hyeinkim1305/Algorithm | Programmers/Level2/Programmers_Level2_기능개발.py | Programmers_Level2_기능개발.py | py | 403 | python | en | code | 0 | github-code | 90 |
19760965637 | from typing import List
class Solution:
def successfulPairs(self, spells: List[int], potions: List[int], success: int) -> List[int]:
potions.sort()
ans, n = [], len(potions)
def counterNumbers(targetNumber) -> int:
i = 0
if targetNumber < potions[0]:
... | Akshay-Savad/data-strutures-practise | LeetCode_75/LT_2300.PY | LT_2300.PY | py | 898 | python | en | code | 1 | github-code | 90 |
16038051522 | import functools
from json import JSONDecodeError
from aiohttp import web
from cerberus import DocumentError, Validator
from opening_hours.handlers.util.validator_schema import ValidationSchema
def view_validator(schema_name: str):
"""
Validates post parameters
:param schema_name:
"""
def wrapp... | Kalanamith/Oppettider | opening_hours/handlers/util/decorators.py | decorators.py | py | 1,639 | python | en | code | 0 | github-code | 90 |
41329046850 | import os, torch
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from itertools import product
from utils.args import PROPOSED_PARSER
from task.proposed import Trainer
import gc
gc.collect()
torch.cuda.empty_cache()
def plot_evaluation_metircs(pth: str,save_type: str,trains: list,... | sejin-sim/SpecRegMatch | main_proposed.py | main_proposed.py | py | 2,612 | python | en | code | 0 | github-code | 90 |
18523318309 | n=int(input())
a=list(map(int,input().split()))
count=0
for i in range(len(a)):
counter=0
while 1:
if a[i]%2==0:
counter+=1
a[i]=a[i]//2
else:
break
count+=counter
print(count) | Aasthaengg/IBMdataset | Python_codes/p03325/s890844536.py | s890844536.py | py | 213 | python | en | code | 0 | github-code | 90 |
26157191300 | import matplotlib as mpl
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from tkinter import filedialog as fld
import os
savefig = 'Figures\\'
saveDFLoc = 'DataFrames\\'
def getLinks(Files=None):
if Files:
new = list(fld.askopenfilenames())
for newfile in new:
... | Uchihasummer/RamanPreProcessing | Tools.py | Tools.py | py | 3,427 | python | en | code | 1 | github-code | 90 |
18402254859 | import sys
import heapq
N, M = map(int, input().split())
A = list(map(int, input().split()))
origin = sum(A)
heapq.heapify(A)
BC = [list(map(int, input().split())) for _ in range(M)]
BC = sorted(BC, reverse=True, key=lambda x: x[1])
count = 0
for i in range(M):
b = BC[i][0]
c = BC[i][1]
for _ in range(b... | Aasthaengg/IBMdataset | Python_codes/p03038/s850337672.py | s850337672.py | py | 660 | python | en | code | 0 | github-code | 90 |
4706386167 |
from DataAnalysis import TimeSerieDC
data_folder = '/home/Fiore/Documents/Dyncode/Datasets/2018_E1_28/Data_Files/'
data_folder ='/home/fabris/Documents/Dyncode/low_res_datasets/2018_E1_28/Data_Files/'
save_folder = '/home/Fiore/Documents/Dyncode/Datasets/2018_E1_28/Sup_Figs/'
save_folder ='/home/fabris/Documents/Dync... | fiorefabris/DynCode | examples/DataAnalysisPipeline/2018_E1_28_experiment/coding/supfig_alltraces.py | supfig_alltraces.py | py | 980 | python | en | code | 0 | github-code | 90 |
22352377209 | # © Jason (Seojoon) Yeon 2018 October 17 ~
# statistical
import random
import math
import numpy as np
# import game environment and logging tool
import env
import log
# machine learning
from keras.optimizers import Adam
from keras.models import Sequential
from keras.layers import Dense, Dropout
from keras.models import... | Tornadee/personal_project | python/q.py | q.py | py | 3,682 | python | en | code | 0 | github-code | 90 |
43441482327 | months = {
'January': 1,
'February': 2,
'April': 4,
'May': 5,
'March': 3,
'October': 10,
'July': 7,
'August': 8,
'June': 6,
'September': 9,
'November': 11,
'December': 12
}
#Remove all the items from months dict with value greater then 6
def trim_by_six(dictionary):
for keys in list(dictionary.keys()):
... | tohhhi/it_school_2022 | Sesiunea 10/practice.py | practice.py | py | 499 | python | en | code | 0 | github-code | 90 |
22030938273 | # -*- coding: UTF-8 -*-
__license__ = """
Copyright (C) 2011 Avencall
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
(at your option) any la... | Eyepea/xivo-confgen | xivo-confgen/xivo_confgen/generators/voicemail.py | voicemail.py | py | 3,901 | python | en | code | 1 | github-code | 90 |
14116718937 | from torchvision import transforms
from torch.utils.data import Dataset
from torchvision.transforms.functional import InterpolationMode
from torch.utils.data import DataLoader
class ImagesDataset(Dataset):
def __init__(self, imgs_dict, configs):
image_size = configs["dataset"]["image_size"]
self.t... | hungnt14/image_captioning_demo | api/captioning/loader.py | loader.py | py | 1,454 | python | en | code | 0 | github-code | 90 |
35490538953 | import cv2, os
import numpy as np
import mtcnn
from architecture import *
from train_v2 import normalize, l2_normalizer
from scipy.spatial.distance import cosine
from tensorflow.keras.models import load_model
from attendance_tracker import AttendanceTracker
import pickle
import time
from datetime import datetime, timed... | FransOnMobile/Research-Attendance-Tracking-through-Face-Recognition | detect.py | detect.py | py | 3,801 | python | en | code | 0 | github-code | 90 |
7597038564 | from django.contrib import admin
from django.urls import path , include
from . import views
urlpatterns = [
path('', views.fdashboard,name='fdashboard'),
path('semesterschedule', views.semesterschedule,name='semesterschedule'),
path('formguidline', views.formguidline,name='formguidline'),
path('library... | shakeebanwar/Learning-managment-python--anywhere | faculty/urls.py | urls.py | py | 4,448 | python | en | code | 0 | github-code | 90 |
5304478001 | from multiprocessing import Queue
import Milter
from utils import log_config
from services.s3_milter import S3Milter
from services.log_manager import LogManager
from services.postgre_manager import PostgreManager
from milter_config import postgresql_creds
from milter_config import milter_params
log_config.init()
log_... | jokismo/S3-Milter | attachments_milter.py | attachments_milter.py | py | 1,511 | python | en | code | 2 | github-code | 90 |
21617367068 | class Solution:
def fourSum(self, arr: List[int], l: int) -> List[List[int]]:
re = set()
arr = sorted(arr)
for i in range(len(arr)):
num = l - arr[i]
for j in range(i+1, len(arr)):
num1 = num - arr[j]
set_ = set()
for k ... | sgowdaks/CP_Problems | LeetCode/prob18.py | prob18.py | py | 592 | python | en | code | 0 | github-code | 90 |
18072791729 | import os
import sys
if os.getenv("LOCAL"):
sys.stdin = open("_in.txt", "r")
sys.setrecursionlimit(2147483647)
INF = float("inf")
IINF = 10 ** 18
MOD = 10 ** 9 + 7
H, W, A, B = list(map(int, sys.stdin.readline().split()))
# dp = np.ones(W, dtype=int)
# for h in range(1, H - A):
# dp = dp.cumsum() % MOD
# f... | Aasthaengg/IBMdataset | Python_codes/p04046/s772888529.py | s772888529.py | py | 1,468 | python | en | code | 0 | github-code | 90 |
11271325709 | from string import digits # digits = "1234567890"
instructions = input() # string input
output = ""
split = False # go to new line when this is true
for char in instructions: # char is short for character
if char == "+":
output += " tighten "
elif char == "-":
output += " loosen "
elif ch... | SSSCodingClub/CCC-Solutions | 2022/Junior/J3.py | J3.py | py | 520 | python | en | code | 0 | github-code | 90 |
23003451283 | import pygame, os
class Car(pygame.sprite.Sprite):
def __init__ (self, screen):
pygame.sprite.Sprite.__init__(self)
self.screen = screen
self.img_car = pygame.image.load('./need_py_speed_game/Game/imagens' + os.sep + 'car.png')
#self.img_carro = pygame.transform.scale(self.img_carro, (... | VeselaCindy/Bitalino | need_py_speed_game/Game/car.py | car.py | py | 1,075 | python | en | code | 0 | github-code | 90 |
8952572607 | #-*- coding:utf-8 -*-
import os
import sys
from _winreg import *
def getFunshionInstallPath():
path = 'SOFTWARE\\Wow6432Node\\Funshion\\Funshion'
funshion=OpenKey(HKEY_LOCAL_MACHINE, path)
path,type=QueryValueEx(funshion,"Install Path")
return path
if __name__ == "__main__":
installpath=... | hugecabbage/dump_analysis | get_funshion_install_path.py | get_funshion_install_path.py | py | 544 | python | en | code | 1 | github-code | 90 |
24722716367 | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 2 20:22:48 2020
@author: suchith
"""
from imutils.video import VideoStream
from imutils.video import FPS
import face_recognition
import argparse
import imutils
import pickle
import time
import cv2
import yagmail
import os
import requests
import datetime... | suchith1012/raspberrypifacerecognition | videodetection.py | videodetection.py | py | 3,897 | python | en | code | 0 | github-code | 90 |
24395321919 | # Alberto Ruiz Biestro -- A01707550
#
# N_SPHERE volume
#
# Para más información revisar: https://en.wikipedia.org/wiki/N-sphere
# ToDo: initialize arrays
# Last revision: 7/03/2022
########################### IMPORT ###################################
import numpy as np
import scipy.special as sp
import matplotlib.... | ModifiedBear/Computational-Physics-I | extras/n_sphere.py | n_sphere.py | py | 5,873 | python | es | code | 0 | github-code | 90 |
16253512297 | #!/usr/bin/env python
# pylint: disable=wrong-import-position
import os
import time
import traceback
from argparse import ArgumentParser
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import numpy as np
from tqdm import trange
import tensorflow as tf
from evaluation import Evaluation
from u... | furgerf/GAN-for-dermatologic-imaging | src/generate_samples.py | generate_samples.py | py | 4,462 | python | en | code | 0 | github-code | 90 |
41413515460 | import sys
import math
import random
# Function that takes in command line arguments and
# parses it while assertin that they are correct
def variable_assertions(argv):
assert(len(argv) == 4)
forbes_val = float(argv[0])
num_reads_a = int(argv[1])
num_reads_b = int(argv[2])
read_length = int(argv[3]... | gautam-prab/HLL-similarity | Random_Generators/Rangen_forbes.py | Rangen_forbes.py | py | 3,297 | python | en | code | 0 | github-code | 90 |
72619418218 | from flask import Flask, redirect, url_for, render_template
from flask import request
from flask import session
from flask import jsonify
import mysql.connector
app = Flask(__name__)
app.secret_key = '123'
def interact_db(query, query_type: str):
return_value = False
connection = mysql.connector.connect(host... | Arseni1919/WEB_Course_2020_A_examples_flask | app.py | app.py | py | 9,845 | python | en | code | 0 | github-code | 90 |
18568426919 | import sys
readline = sys.stdin.readline
MOD = 10 ** 9 + 7
INF = float('INF')
sys.setrecursionlimit(10 ** 5)
def main():
n = int(readline())
a = list(map(int, readline().split()))
b = list(map(int, readline().split()))
cnt = 0
for x, y in zip(a, b):
diff = x - y
if diff < 0:
... | Aasthaengg/IBMdataset | Python_codes/p03438/s767029162.py | s767029162.py | py | 553 | python | en | code | 0 | github-code | 90 |
41444808158 | '''
Inception Pretrained_model
http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz
'''
import os
import json
import tensorflow as tf
import numpy as np
from gevent.pywsgi import WSGIServer
from scipy import spatial
import random, json, glob, os, codecs, random
from annoy import AnnoyIndex... | jageshmaharjan/ExperimentalProjects | imageSearch/image_vectorizer.py | image_vectorizer.py | py | 3,579 | python | en | code | 0 | github-code | 90 |
28982952751 | from collections import Counter
from typing import List
from build_homepage_md import *
def save_lines(lines, output_dir, output_name):
full_path = os.path.join(output_dir, output_name)
with open(full_path, "w") as f:
f.writelines(lines)
print("".join(lines))
print(f"Save at {full_pat... | jyscardioid/jyscardioid.github.io | _build_contents/build_cv_tex.py | build_cv_tex.py | py | 8,280 | python | en | code | null | github-code | 90 |
29544207807 | # -*- coding: utf-8 -*-
# @Time : 2022/4/24 10:23
# @Author : 模拟卷
# @Github : https://github.com/monijuan
# @CSDN : https://blog.csdn.net/qq_34451909
# @File : 6042AC. 统计圆内格点数目.py
# @Software: PyCharm
# ===================================
"""
"""
from leetcode_python.utils import *
class Solution:
def ... | monijuan/leetcode_python | code/competition/2022/20220424/6042AC. 统计圆内格点数目.py | 6042AC. 统计圆内格点数目.py | py | 1,412 | python | en | code | 0 | github-code | 90 |
7394441221 | from src.index import build_store
from src.boards import Board
class Player:
def __init__(self, store, user, player_x = False, player_o = False):
if player_x:
self.player = 'x'
if player_o:
self.player = 'o'
# self.state = state
self.user_id = user.id
... | dinhcnt/tic_tac_toe | tic_tac_toe/src/player.py | player.py | py | 622 | python | en | code | 0 | github-code | 90 |
6102176055 | # coding=utf-8
import os
from prodtools.reports import validation_status
try:
from PIL import Image
IMG_CONVERTER = True
except Exception as e:
IMG_CONVERTER = False
from prodtools.utils import svg_conversion
from prodtools import _
IMDEBUGGING = False
MIN_IMG_DPI = 300
MIN_IMG_WIDTH = 789
MAX_IMG_WI... | scieloorg/PC-Programs | src/scielo/bin/xml/prodtools/utils/img_utils.py | img_utils.py | py | 3,794 | python | en | code | 7 | github-code | 90 |
18063669939 | import sys
read = sys.stdin.read
readline = sys.stdin.readline
readlines = sys.stdin.readlines
sys.setrecursionlimit(10 ** 9)
INF = 1 << 60
MOD = 1000000007
def main():
N, A, *X = map(int, read().split())
M = sum(X)
dp = [[0] * (M + 1) for j in range(N + 1)]
dp[0][0] = 1
for i in range(N):
... | Aasthaengg/IBMdataset | Python_codes/p04013/s426729495.py | s426729495.py | py | 590 | python | en | code | 0 | github-code | 90 |
9314146270 | import cv2 as cv
import glob
import numpy as np
import os
from .homography import get_homographies
from .intrinsics import get_camera_intrinsics
from .extrinsics import get_extrinsics
from .distortion import estimate_lens_distortion
from .refinement import refine_all
def find_chessboard_corners(root_path='./chessboa... | luckykk273/Camera-Calibration | utils/calibration.py | calibration.py | py | 3,644 | python | en | code | 1 | github-code | 90 |
74879707495 | import pandas as pd
import tushare as ts
import numpy as np
import matplotlib.pyplot as plt
"""
Step 1
Download data from tushare
"""
# Tushare.Pro Token
pro = ts.pro_api('00d803b166f55fc30c178d74c158985136010d6bd19271b182059eef')
# Reserch time period start at 2016
start_date = '20160101'
end_date = '20220224'
# 农业银行
... | daniel620/Quant | Tasks/Task1 Daily trading based on rules/task1.py | task1.py | py | 3,789 | python | en | code | 0 | github-code | 90 |
18572580279 | from collections import deque
N, M = map(int, input().split())
G = [[] for _ in range(N)]
for i in range(M):
L, R, D = map(int, input().split())
G[L-1].append((R-1, D))
G[R-1].append((L-1, -D))
visited = [False] * N
xs = [0] * N
xs[0] = 0
x = 0
for i in range(N):
if visited[i]:
continue
stack = deque... | Aasthaengg/IBMdataset | Python_codes/p03450/s913149024.py | s913149024.py | py | 689 | python | en | code | 0 | github-code | 90 |
72207848938 | """
找出数组中重复的数字
在一个长度为n的数组里的所有数字都在0~n+1的范围内。数组中某些数字是重复的，但不知道有几个数字重复了，也不知道每个数字重复了几次。请不改变原数组，找出数组中任意一个重复的数字并返回。
输入：【2，3，1，0，2，5，3】
输出： 2或3
请以数组【1，4，6，2，4，3，8，6，1】开始解题
"""
from typing import List
class Solution:
def findRepeatNumber(self, nums: List[int]) -> int:
counts = dict()
for num in nums:
... | Asunqingwen/LeetCode | AC组/找出数组中重复的数字.py | 找出数组中重复的数字.py | py | 844 | python | zh | code | 0 | github-code | 90 |
74385734055 | # -*- coding: utf-8 -*-
import logging
from openerp.osv import osv, fields
from openerp.tools.translate import _
_logger = logging.getLogger(__name__)
class email_template(osv.osv):
"Templates for sending email"
_inherit = "email.template"
def send_mail(self, cr, uid, template_id, res_id, force_send=Fal... | dkubiak789/dkubiak_odoo_module | email_template.py | email_template.py | py | 3,538 | python | en | code | 0 | github-code | 90 |
74706336937 | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from scipy.optimize import minimize
from visualization import visualization
class GPR:
def __init__(self, optimize=True, kernel='squared_exp'):
self.is_fit = False
self.train_X, self... | yuzhTHU/SP-Project-GPR | GPR.py | GPR.py | py | 6,442 | python | en | code | 0 | github-code | 90 |
72208001578 | # -*- coding: utf-8 -*-
# @Time : 2019/10/28 0028 10:45
# @Author : 没有蜡笔的小新
# @E-mail : sqw123az@sina.com
# @FileName: Remove Zero Sum Consecutive Nodes from Linked List.py
# @Software: PyCharm
# @Blog ：https://blog.csdn.net/Asunqingwen
# @GitHub ：https://github.com/Asunqingwen
"""
Given the head of a linked l... | Asunqingwen/LeetCode | medium/Remove Zero Sum Consecutive Nodes from Linked List.py | Remove Zero Sum Consecutive Nodes from Linked List.py | py | 2,153 | python | en | code | 0 | github-code | 90 |
18020371613 | # -*- coding: utf-8 -*-
"""
In the previous program, I create two lists to store my time of del operator on dictionary and list.
We can see that Dict < List is true, so that the time for del operator on dictionary is smaller than time we need on list.
From running the code above, we can see that the time of delete fro... | kwu19/Runtime-Analysis | run_time_analysis_del.py | run_time_analysis_del.py | py | 2,380 | python | en | code | 0 | github-code | 90 |
40468424233 |
class NestedSphere:
def __init__(self, materials, radius1=10, radius2=5):
self.radius1 = radius1
self.radius2 = radius2
self.materials = materials
def csg_model(self):
import openmc
surface1 = openmc.Sphere(r=self.radius1)
surface2 = openmc.Sphere(r=sel... | fusion-energy/model_benchmark_zoo | src/model_benchmark_zoo/nestedsphere.py | nestedsphere.py | py | 1,993 | python | en | code | 2 | github-code | 90 |
20367843081 | class Solution:
def shortestPathBinaryMatrix(self, grid: List[List[int]]) -> int:
if grid[0][0] == 1:
return -1
q = deque([[0,0,1]])
ex, ey = len(grid)-1, len(grid)-1
self.res = float('inf')
while len(q) > 0:
cx, cy, dt = q.popleft()... | RishabhSinha07/Competitive_Problems_Daily | 1091-shortest-path-in-binary-matrix/1091-shortest-path-in-binary-matrix.py | 1091-shortest-path-in-binary-matrix.py | py | 845 | python | en | code | 1 | github-code | 90 |
18188768389 |
N, M, K = map(int, input().split())
A_list=list(map(int, input().split()))
B_list=list(map(int, input().split()))
import itertools
A_acum=list(itertools.accumulate(A_list))
B_acum=list(itertools.accumulate(B_list))
A_acum.insert(0, 0)
B_acum.insert(0, 0)
"""
A_acum=[0]
B_acum=[0]
for i in range(1, N+1):
A_acum[i]=... | Aasthaengg/IBMdataset | Python_codes/p02623/s316834146.py | s316834146.py | py | 607 | python | en | code | 0 | github-code | 90 |
44856677800 | """
Module for database related stuff to keep the main.py clean
"""
from os import environ # pylint: disable=unused-import #for dev env
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
# SQLALCHEMY_DATABASE_URL =
# "postgresql://<... | HungrySquad/back_python | app/database.py | database.py | py | 802 | python | en | code | 0 | github-code | 90 |
11628350576 | import datetime
from airflow import DAG
from airflow.providers.postgres.operators.postgres import PostgresOperator
from airflow.utils.dates import days_ago
default_args = {'owner': 'Dylan Bragdon'}
with DAG(
dag_id = 'create_postgres_tables',
start_date = days_ago(2),
schedule_interval = None,
default... | dbragdon1/hn_airflow | dags/create_tables.py | create_tables.py | py | 541 | python | en | code | 0 | github-code | 90 |
33707684890 | '''Calculation functionality for 2D vectors and points.'''
import math
from game_common.twodee.geometry import vector
def multiplyVectorAndScalar(vector,
scalar):
(x, y) = vector
return (x * scalar, y * scalar)
def addVectors(*vectors):
totalx, totaly = (0, 0)
for (vecto... | krieghan/game_common | game_common/twodee/geometry/calculate.py | calculate.py | py | 3,195 | python | en | code | 1 | github-code | 90 |
17945807435 | # converts fnf json files for quick and dirty tracks for testing
from math import inf
import json
with open('fresh.json') as file:
fnf = json.load(file)
print(fnf)
with open('fresh.oron', 'w') as file:
file.write('bpm={}\n'.format(float(fnf['bpm'])))
used_times = set()
obstacles = []
for sectio... | spazzylemons/openribbon | tools/fnf_converter.py | fnf_converter.py | py | 953 | python | en | code | 0 | github-code | 90 |
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