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23406486493 | # Libraries
import numpy
import scipy
import sklearn
import pandas
import matplotlib
# Visualization
from pandas.tools.plotting import scatter_matrix
import matplotlib.pyplot as plt
# Metrics
from sklearn import model_selection
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matr... | thesamchris/ml-mastery | iris-dataset.py | iris-dataset.py | py | 2,771 | python | en | code | 0 | github-code | 1 |
700764088 | # Keys are unique in a Dictionary and can not be duplicated inside a Dictionary.
# So I used it to write telephone numbers.
tele_dir = {
1111111111: "John",
2222222222: "Sara",
3333333333: "Amal",
4444444444: "Ahmed"
}
while True:
# As we know that Python’s built-in input() function always returns ... | albasry/telephone_directory | phon_dirctory.py | phon_dirctory.py | py | 986 | python | en | code | 0 | github-code | 1 |
29019620725 | import pytorch3d.loss
import pytorch3d.utils
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.utils.data
from einops import rearrange
import numpy as np
from Utils.LossCatSim_keyPtsDefor_utils.cages import deform_with_MVC
from Utils.LossCatSim_keyPtsDefor_utils.utils import normalize_to_box, ... | Orgnizzz/CLPE | CLPE/Utils/LossCatSim_KeyPtsDefor.py | LossCatSim_KeyPtsDefor.py | py | 8,418 | python | en | code | 0 | github-code | 1 |
18130955332 | #!/usr/bin/env python3
import ev3dev.ev3 as ev3
import library
btn = ev3.Button()
us = ev3.UltrasonicSensor()
assert us.connected, "Connect a single US sensor to any sensor port"
# Put the US sensor into distance mode.
us.mode='US-DIST-CM'
units = us.units
# reports 'cm' even though the sensor measur... | tagboto/legoEv3-python | Ultrasonic.py | Ultrasonic.py | py | 607 | python | en | code | 0 | github-code | 1 |
38329543772 | import torch
from PIL import Image
import torchvision.transforms.functional as TF
import torch
import torch.nn as nn
# image management
MEAN = (0.485, 0.456, 0.406)
STD = (0.229, 0.224, 0.225)
def prep_img(imagename: str, size=None, mean=MEAN, std=STD):
"""Preprocess image.
1) load as PIl
2) resize
... | arthur-cahu/ranvgg | utils.py | utils.py | py | 4,458 | python | en | code | 0 | github-code | 1 |
15873614763 | import os
import shutil
import argparse
def move_to_processed(file_path):
destination = "C:/Users/craig/Google Drive/CaptainsLog/Processed"
shutil.move(file_path, destination)
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description=__doc__,
formatter_class=argparse.RawDe... | craig3050/CaptainsLog | Test Modules/move_to_processed.py | move_to_processed.py | py | 482 | python | en | code | 0 | github-code | 1 |
35806321081 | import pandas as pd
import os
import cv2
import numpy as np
from keras.models import load_model
import keras_metrics
import keras
# path = os.getcwd()
# parent = os.path.dirname(path)
# Base_path = os.path.join(parent , 'Mobilaty\\project\\public')
execution_path = os.getcwd()
Base_path=os.path.join(execu... | amrfahmy5/Mobilaty-gp-backEnd | project/models/MobileClassfication.py | MobileClassfication.py | py | 8,121 | python | en | code | 0 | github-code | 1 |
22612869246 | """
Computational domain for isogeometric analysis.
"""
import os.path as op
import numpy as nm
from sfepy.base.base import Struct
from sfepy.discrete.common.domain import Domain
import sfepy.discrete.iga as iga
import sfepy.discrete.iga.io as io
from sfepy.discrete.iga.extmods.igac import eval_in_tp_coors
class Nur... | leawoliu/sfepy | sfepy/discrete/iga/domain.py | domain.py | py | 4,521 | python | en | code | null | github-code | 1 |
26181183663 | #!/usr/bin/env python
'''
Process file produced by:
https://cdcvs.fnal.gov/redmine/projects/dunetpc/wiki/_ProtoDUNE-SP_Wire_Dumps_
Columns:
0) channel :: [0-15359]
1) cryostat :: 0
2) tpc :: [0,11]
3) plane :: [0,2]
4) wire :: [0,1147]
5) wire beg x
6) wire beg y
7) wire beg z
8) wire end x
9) wire end y
10) wire en... | DUNE/protodune-numbers | python/larsoftwires.py | larsoftwires.py | py | 5,498 | python | en | code | 0 | github-code | 1 |
73747256675 | from flask import request
from flask_restplus import Resource, Namespace, abort, reqparse
from rest import api
from rest.entities.templates.models import entity_template, entity_template_request
from rest.entities.templates.service import EntityTemplateService
from rest.common.base_models import response
from rest.com... | samshinde/Flask-MVC | entity_mgmt_app/rest/entities/templates/views.py | views.py | py | 4,478 | python | en | code | 0 | github-code | 1 |
21808031829 | import hashlib
import csv
def hash_password_hack(input_file_name, output_file_name):
with open(input_file_name) as f:
reader=csv.reader(f)
a=dict()
hash_d=dict()
for row in reader:
name=row[0]
text=row[1]
... | Shahmohammadi-M/Ml-PythonProjects | Rainbow_hack_project.py | Rainbow_hack_project.py | py | 1,062 | python | en | code | 0 | github-code | 1 |
10232332366 | #!/usr/bin/env python3
from useful.mstring import s
# http://www.talentbuddy.co/challenge/51ce446a4af0110af3826346
def myrange(stop): return range(stop+1)
def count(a,b,c, cap):
result = 0
for i in myrange(a):
for j in myrange(b):
for k in myrange(c):
if i+j+k == cap:
result += 1
retu... | kopchik/itasks | prio.py | prio.py | py | 750 | python | en | code | 0 | github-code | 1 |
1720308881 | # 작성 날짜: 23.02.15
# 문제 설명
# 자연수 n이 매개변수로 주어집니다. n을 3진법 상에서 앞뒤로 뒤집은 후, 이를 다시 10진법으로 표현한 수를 return 하도록 solution 함수를 완성해주세요.
# 제한사항
# n은 1 이상 100,000,000 이하인 자연수입니다.
def solution(n):
answer=''
while n:
answer+=str(n%3)
n=n//3
return int(answer,3)
print(solution(45)) # 7
print(solution(125)... | 0126kjw/CodingTest | Python/programmers/Lv1/Lv1_3진법뒤집기.py | Lv1_3진법뒤집기.py | py | 564 | python | ko | code | 1 | github-code | 1 |
12569108562 | import tensorflow as tf
def conv2d(x, input_filters, output_filters, kernel, strides, mode='REFLECT'):
with tf.variable_scope('conv'):
shape = [kernel, kernel, input_filters, output_filters]
weight = tf.Variable(tf.truncated_normal(shape, stddev=0.1), name='weight')
x_padded = tf.pad(x, [[... | sweetweet/StyleTransferFCU | Python/hzy46-fast-neural-style-tensorflow-master/model.py | model.py | py | 7,809 | python | en | code | 0 | github-code | 1 |
72377937634 | import socket
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as client:
try:
client.connect(("127.0.0.1", 1337))
while True:
datas = client.recv(2048).decode()
print(f"Servidor: {datas}")
dat = input("Enviar: ")
if dat == "sair":
... | lvluanvinicius/ITSafe-Python-Scripts | Orientacao-a-objetos/Exercicios/Ex02/client.py | client.py | py | 459 | python | en | code | 0 | github-code | 1 |
4433340756 | #modcom.co.ke/datascience
#modcom.co.ke/flask
#modcom.co.ke/flask/datascience/banks
#modcom.co.ke/bank
import pandas as pd
df = pd.read_csv("school.csv") #df is the dataframe
# print(df)
# print(df["StudyTime"])
print(df[["StudyTime", "Gender"]])
#narrow down
subset = df[["StudyTime", "Gender"]] #example of... | Manyanky/ML-MODELS | graphs.py | graphs.py | py | 3,853 | python | en | code | 0 | github-code | 1 |
13485505567 | from django.db import models
# Create your models here.
class StatusCrm(models.Model):
Status_name = models.CharField(max_length=200, verbose_name='Название статуса')
def __str__(self):
return self.Status_name
class Meta:
verbose_name = 'статус'
verbose_name_plural = 'статусы'
c... | syrovezhko/platform | crm/models.py | models.py | py | 1,753 | python | en | code | 0 | github-code | 1 |
24573682795 | from django.contrib.auth.decorators import login_required
from django.shortcuts import render, redirect
from meals.models import Meals
from order.models import orderDetail
# Create your views here.
@login_required
def add_user_order(request):
count_product = int(request.POST.get("count"))
product_ID = req... | moeinparvizi/resturan | order/views.py | views.py | py | 834 | python | en | code | 1 | github-code | 1 |
12095883666 | from django.conf.urls import url
from rotations import views
api_urls = (
(r'rotations', views.RotationViewSet),
(r'requested_departments', views.RequestedDepartmentViewSet),
(r'rotation_requests', views.RotationRequestViewSet),
(r'rotation_requests/(?P<department_id>\d+)/(?P<month_id>\d+)', views.Rot... | msarabi95/easy-internship | rotations/urls.py | urls.py | py | 609 | python | en | code | 1 | github-code | 1 |
35509955713 | from deploystream import app
from deploystream.apps.feature.lib import get_feature_info, get_all_features
from deploystream.lib.transforms import as_json
from deploystream.decorators import needs_providers
@app.route('/features', methods=['GET'])
@needs_providers
@as_json
def list_features(providers):
features = ... | pretenders/deploystream | deploystream/apps/feature/views.py | views.py | py | 564 | python | en | code | 5 | github-code | 1 |
22554324082 | # var.py
#
# Read the var files.
# NB: the f array returned is C-ordered: f[nvar, nz, ny, nx]
# NOT Fortran as in Pencil (& IDL): f[nx, ny, nz, nvar]
#
# Authors:
# J. Oishi (joishi@amnh.org)
# T. Gastine (tgastine@ast.obs-mip.fr)
# S. Candelaresi (iomsn1@gmail.com).
"""
Contains the read class for the VAR file re... | JosephMouallem/pencil_code | python/pencilnew/read/var.py | var.py | py | 17,478 | python | en | code | 1 | github-code | 1 |
36656035684 | import sys
def lengthen(line):
c = 0
esc = ''
for c in line:
if c == '"':
esc += '\\"'
elif c == '\\':
esc += '\\\\'
else:
esc += c
return '"%s"' % (esc, )
def main():
with open(sys.argv[1]) as f:
lines = [x.strip() for x in f.re... | gerrowadat/adventofcode | 2015/8/8-2.py | 8-2.py | py | 712 | python | en | code | 1 | github-code | 1 |
22950138673 | #!/usr/bin/python3
########################################################################
# This file is part of the Honeyris project made by the Astar Company: #
# https://github.com/astar-security/Honeyris #
# The project is published under GPLv3 license #
# Author... | astar-security/Honeyris | honeyris.py | honeyris.py | py | 7,702 | python | en | code | 3 | github-code | 1 |
1630936495 | count = 1
while(count <= 100):
if(count % 15 == 0):
print("FizzBuzz")
elif(count % 3 == 0):
print("Fizz")
elif(count % 5 == 0):
print("Buzz")
elif(count % 7 == 0):
print("GitHub")
else:
print(count)
count += 1
| camellia26/FizzBuzzTest | FizzBuzz.py | FizzBuzz.py | py | 275 | python | en | code | 0 | github-code | 1 |
42262730136 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
#
import argparse, subprocess, Bio, os, sys, shutil, re, time, datetime, socket, random, requests, xmltodict, json, csv, sqlite3, types
from Bio import SeqIO
from Bio import Phylo
from Bio import Entrez
from Bio import AlignIO
from Bio.Blast import NCBIWWW
from Bio.Blast impor... | mjeltsch/VEGFphylo | 2_analysis.py | 2_analysis.py | py | 72,342 | python | en | code | 0 | github-code | 1 |
5167662236 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from scipy.stats import norm
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import math
#Esta funcion representa la matriz de confusion de un modelo mediante la TDS
def plot(Pa, Pfa, returnP = False, show = T... | manu-torres/portfolio | projects/tdsPlot.py | tdsPlot.py | py | 3,819 | python | en | code | 0 | github-code | 1 |
27260484292 | cortej = ('1','2','3','4','5','6','7','8','9','10')
dictionary = {}
def add(i):
dictionary[i] = i ** 2
for i in range(1, 50):
if i % 2 == 0:
add(i)
print(cortej)
print(dictionary)
| Chobotov/MyPython | Lab1/file.py | file.py | py | 201 | python | en | code | 0 | github-code | 1 |
25272716860 | # import torch
# import torchvision
#import knockoff.datasets.GTSRB as GTSRB
#import knockoff.datasets as datasets
# import torch.nn as nn
# import pretrainedmodels
import caffe
import numpy as np
import pickle
import imageio
from PIL import Image
from torchvision import transforms
transform_gtsrb = transforms.Comp... | chenyanjiao-zju/Defense-Resistant-Backdoor | backdoor/gtsrb/ASR.py | ASR.py | py | 3,245 | python | en | code | 0 | github-code | 1 |
41202240590 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 15 20:03:52 2017
@author: jonbaird
Sum square difference
Problem 6
The sum of the squares of the first ten natural numbers is,
12 + 22 + ... + 102 = 385
The square of the sum of the first ten natural numbers is,
(1 + 2 + ... + 10)2 = 552 = 3025
... | jontrabai/project_euler | project_euler6.py | project_euler6.py | py | 1,138 | python | en | code | 0 | github-code | 1 |
13439713692 | import pandas as pd
import sqlalchemy as sa
import psycopg2
import config
from tweet_analysis_functions import prefilter_tweet
engine = sa.create_engine(config.engine ,connect_args={"connect_timeout": 60})
def create_postgres_database(tweet_data_frame_list, tweet_users_frame_list, data_table, users_table):
data_... | bdawton/twitter_scraping_labelling | postgres_connection.py | postgres_connection.py | py | 1,123 | python | en | code | 0 | github-code | 1 |
12735237586 | # Euler 26
# Aug 26 2018
# Reciprical cycles
# What is the largest recurring cycle in its decimal fraction part for 1/d?
# in the range d < 1000
'''
I could use the brent cycle finding algorithm on each of the numbers less than 1000,
however, that would be hard.
I'd rather use the tortise and hare approach.
'''
# We ... | Nellak2017/Project-Euler-Solutions-Python | Solution-Code/p26.py | p26.py | py | 1,713 | python | en | code | 0 | github-code | 1 |
26052410847 | from jbi100_app.main import app
from jbi100_app.data import Data
from jbi100_app.visualizations.map import Map_Visualization
from jbi100_app.visualizations.heatmap import HeatMap
from jbi100_app.visualizations.stackedareachart import StackedAreaChart
from jbi100_app.visualizations.barchart2 import BarChart
from jbi10... | dharmsen/jbi100-g35 | dashframework-main/app.py | app.py | py | 12,701 | python | en | code | 0 | github-code | 1 |
42455767228 | import cv2
import pytesseract
from PIL import Image
import sys
import os
import pyocr
import pyocr.builders
import datetime
import argparse
import unidecode
import codecs
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required=True, help="Path to the image")
args = vars(ap.parse_args())
... | vkit/KYC | img_ocr.py | img_ocr.py | py | 1,722 | python | en | code | 0 | github-code | 1 |
17775036057 | import sys
sys.path.insert(0, './src')
# import os
# os.getcwd()
# os.chdir('./DriverActionEstimators')
from importlib import reload
import numpy as np
np.set_printoptions(suppress=True)
import pickle
import os
def pickle_this(item, data_files_dir, item_name):
data_files_dir += '/'+item_name+'.pickle'
... | saArbabi/DriverActionEstimators | src/data/latent_mlp/data_collection.py | data_collection.py | py | 3,189 | python | en | code | 4 | github-code | 1 |
40543739437 | import math, json
import bpy, mathutils
# ExportHelper is a helper class, defines filename and
# invoke() function which calls the file selector.
from bpy_extras.io_utils import ExportHelper
from bpy.props import StringProperty, BoolProperty, EnumProperty
class TransverseMercator:
radius = 6378137
def __ini... | vvoovv/prokitektura-studio | export/geojson.py | geojson.py | py | 3,496 | python | en | code | 2 | github-code | 1 |
40892979265 | import numpy as np
def load_detections(det_file, num_frames):
det_boxes = []
det_scores = []
raw_data = np.genfromtxt(det_file, delimiter=',')
for frame_idx in range(num_frames):
idx = np.where(raw_data[:, 0] == frame_idx+1)
if idx[0].size:
det_boxes.append(np.stack(raw_dat... | LukasBommes/mvmed-tracker | mvt/loaders.py | loaders.py | py | 566 | python | en | code | 16 | github-code | 1 |
36598916219 | import asyncio
import aioconsole
import json
from abc import abstractmethod
from prompt_toolkit import print_formatted_text
from prompt_toolkit.formatted_text import FormattedText
from monstr.event.event import Event
from monstr.encrypt import Keys
from monstr.inbox import Inbox
from monstr.client.client import Client... | monty888/monstr_terminal | cmd_line/util.py | util.py | py | 20,593 | python | en | code | 14 | github-code | 1 |
74180888674 | from os import listdir
#Problem importer
#------------------------------------------------------------------------------
def importInst(fileName):
file = open(fileName, 'r')
inst = []
for line in file:
if not line.startswith("c") \
and not line.startswith("p") \
and not li... | Jamesohare1/Optimization-Algorithms | SatChecker.py | SatChecker.py | py | 2,333 | python | en | code | 0 | github-code | 1 |
72353339233 | #--------------------------JoyBot - Python Branch-------------------------#
import os,random,discord,pickle,json,io,contextlib,itertools
from discord.ext.tasks import asyncio
from discord.ext import commands
from discord.utils import find
from datetime import datetime
from decimal import Decimal
from shutil import cop... | Joyte/Misc | notsortedatall/old_bot.py | old_bot.py | py | 36,443 | python | en | code | 0 | github-code | 1 |
15416613529 | from __future__ import print_function
import os, math
from pyspark.sql import SparkSession
# Map 1: extract words from a file
# input: file_name
# output: (term, doc_name), 1
def map1(doc_name):
file = open(doc_name)
while True:
line = file.readline()
if line == '':
break
... | dungcao/bigdata | tfidf_spark.py | tfidf_spark.py | py | 3,109 | python | en | code | 1 | github-code | 1 |
29744161462 | import jwt
from rest_framework import authentication, exceptions
from django.conf import settings
from django.contrib.auth.models import User
from jwt.algorithms import get_default_algorithms
class JWTAuthentication(authentication.BaseAuthentication):
def authenticate(self, request):
auth_data = authenti... | Kigbu/contactListApp | authentication/backends.py | backends.py | py | 1,297 | python | en | code | 0 | github-code | 1 |
40152045665 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 5 13:08:27 2015
@author: dominic
"""
from __future__ import print_function
import sys,os
sys.path.append(os.path.abspath('../utils/'))
import allele_sim as sim
import build_panel as build
#import matplotlib.pyplot as plt
eprint = lambda *args, **kwar... | DomNelson/ISGen | scripts/drop/allele_sim_run.py | allele_sim_run.py | py | 4,104 | python | en | code | 0 | github-code | 1 |
7762360924 | """
URL configuration for SANSKARSET project.
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/4.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='h... | expertsdrives/sanskarsat | SANSKARSET/urls.py | urls.py | py | 1,469 | python | en | code | 0 | github-code | 1 |
20246487008 | import sys
from collections import deque
N,M= map(int,sys.stdin.readline().split()) #row,col
maps=[]
for _ in range(N):
a=list(sys.stdin.readline().strip())
maps.append(list(map(int,a)))
state=deque()
state.append((1,0,0))#cnt,row,col
dx=[0,0,1,-1]
dy=[1,-1,0,0]
while state:
d,x,y=state.popleft()
fo... | jhan-04/Test | baekjoon/no.2178.py | no.2178.py | py | 1,849 | python | en | code | 0 | github-code | 1 |
34744941405 | from typing import *
class Solution:
def __init__(self) -> None:
self.paths = []
self.path = []
def partition(self, s: str) -> List[List[str]]:
# 边界情况
# 如果为空
if not s:
return []
# 如果只有一个值
if len(s) == 1:
return [[s]]
self.... | PorterZhang2021/LeetCode | 8.回溯算法/一刷归档/6. 131.分割回文串.py | 6. 131.分割回文串.py | py | 2,034 | python | zh | code | 0 | github-code | 1 |
8671312099 | import pandas as pd
import time
import requests
from pyquery import PyQuery as pq
# 定义一个字母列表
Fam_List = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k',
'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v',
'w', 'x', 'y', 'z']
# 定义基础网站地址
base_url = 'https://commons.wikimedia.org'
# 定义... | SongKunUPC/Art_Image_Spider | Art_Spider.py | Art_Spider.py | py | 2,452 | python | en | code | 0 | github-code | 1 |
13043280148 | import pytest
import struct
import json
import os.path
from iotile.core.hw.hwmanager import HardwareManager
from iotile.core.dev.registry import ComponentRegistry
from iotile.core.hw.exceptions import RPCNotFoundError, RPCInvalidArgumentsError
from typedargs.exceptions import KeyValueException
from iotile.core.hw.virtu... | iotile/coretools | iotilecore/test/test_rpc/test_rpc.py | test_rpc.py | py | 2,455 | python | en | code | 14 | github-code | 1 |
4603843624 | import math
import numpy as np
class Point:
def __init__(self, x, y):
self.x = round(x)
self.y = round(y)
def get_x(self):
return self.x
def get_y(self):
return self.y
def get(self):
return self.x, self.y
def set(self, x, y):
self.x = x
s... | march-o/neat-car-ai | help.py | help.py | py | 6,839 | python | en | code | 0 | github-code | 1 |
18898595251 | from libqtile.config import Group, Key
from libqtile.command import lazy
from keys import keys, mod0, mod2
from settings import workspaces, rooms
# Workspaces and rooms
# The basic idea behind Workspaces and Rooms is to control
# DIFFERENT subsets of groups with the SAME hotkeys.
# So we can have multiple 'qwerasdf' r... | EdenQwQ/qtile | workspaces.py | workspaces.py | py | 3,702 | python | en | code | 3 | github-code | 1 |
28237156137 | cases = int(input().strip())
for case in range(cases):
length, n = [int(i) for i in input().strip().split(" ")]
places = [int(i) for i in input().strip().split(" ")]
places.sort()
result = [0, 0]
shortest = [min(item, length - item) for item in places]
result[0] = str(max(shortest))
longest ... | FangXzhong/cs2021 | 20211202MockExam/蚂蚁.py | 蚂蚁.py | py | 430 | python | en | code | 0 | github-code | 1 |
1156692101 | from inspect import signature as sig
from functools import wraps
def typeassert(*ty_args, **ty_kwargs):
def decorate(func):
if not __debug__:
return func
fun_sig = sig(func)
# 将签名与参数字典绑定
bound_types = fun_sig.bind_partial(*ty_args, **ty_kwargs).arguments
@wrap... | wotulong/python-cookbook-note | 9_7_typeassert.py | 9_7_typeassert.py | py | 1,017 | python | en | code | 0 | github-code | 1 |
2425949677 | from odoo import fields, models, api
class StockMove(models.Model):
_inherit = "stock.move"
action_reassign_visible = fields.Boolean(
string="Shows button to reassign",
compute='_compute_action_reassign_visible',
readonly=True,
)
is_cancellable = fields.Boolean(
compu... | decgroupe/odoo-addons-dec | stock_actions/models/stock_move.py | stock_move.py | py | 4,692 | python | en | code | 2 | github-code | 1 |
74122169952 | import numpy as np
from sklearn.metrics import roc_curve, auc
from scipy.interpolate import interp1d
from scipy.optimize import brentq
def calculate_accuracy(threshold, dist, actual_issame):
predict_issame = np.less(1-dist, 1-threshold)
tp = np.sum(np.logical_and(predict_issame, actual_issame))
fp = np.su... | ChenqiKONG/Detect_and_Locate | utils/metrics_intra.py | metrics_intra.py | py | 1,092 | python | en | code | 6 | github-code | 1 |
27170667969 | from django.db import models
class TgUser(models.Model):
tg_id = models.IntegerField()
first_name = models.CharField(max_length=64, blank=True, null=True)
username = models.CharField(max_length=64, blank=True, null=True)
admin = models.BooleanField(blank=True)
tz_info = models.CharField(max_length=... | HolidayMan/reminder_bot | bot/models.py | models.py | py | 1,416 | python | en | code | 0 | github-code | 1 |
27765862663 |
def is_prime(num):
i = 2
while i < num:
if num % i == 0:
return False
i += 1
return True
def prime_generator():
i = 2
while True:
if is_prime(i):
yield i
i += 1
for i in prime_generator():
if i > 1000:
break
print(i)
| m-gunes/python_examples | iterator_generator/prime_generator.py | prime_generator.py | py | 315 | python | en | code | 0 | github-code | 1 |
19776629913 | from numpy import *
def loadData(path):
datalist=[]
fr=open(path)
for line in fr.readlines():
curline=line.strip().split('\t')
fitline=list(map(float,curline))
datalist.append(fitline)
return datalist
def randCent(dataSet,k):
n=dataSet.shape[1]
centids=mat(zeros((k,n)))
... | leonsharp2015/untitled | venv/kmeans/kmean2.py | kmean2.py | py | 2,145 | python | en | code | 0 | github-code | 1 |
16845175684 | import cv2
import numpy as np
original = cv2.imread("C:/Users/gkami/Documents/GitHub/ImageComparissonDualCam/test_files/1.jpg")
duplicate = cv2.imread("images/duplicate.jpg")
def testShow():
cv2.imshow("1", original)
cv2.waitKey(0)
| Pagos3DGit/ImageComparissonDualCam | Source/ImgComp.py | ImgComp.py | py | 245 | python | en | code | 1 | github-code | 1 |
7904683532 | from Code.Scripts.popularity_calculator import calculate_popularity,freq_of_popularity
import xlrd
import matplotlib.pyplot as plt
file_name = 'D:\\Users\\yashk\\Campaign-Assistant\\Data\\Annotated\\graph_month_input.xls'
workbook = xlrd.open_workbook(file_name)
sheet = workbook.sheet_by_index(0)
rows = sheet.nrows
pr... | vr97/finalyearproject2018-19 | Code/Scripts/plot_for_month.py | plot_for_month.py | py | 1,107 | python | en | code | 1 | github-code | 1 |
9967286767 | #pico y placa
'''
Realizar un programa para saber que día tiene pico y placa su vehículo
'''
'''
lunes: 3 - 4
martes: 5 - 6
miercoles: 7 - 8
jueves: 9 - 0
viernes: 1 - 2
'''
pico = input("\nIngrese su placa (Ejm: abc123): ")
numero = ['3','4','5','6','7','8','9','0','1','2']
dias = ["lunes","martes","miercoles","jue... | BENC2024/ejerciciosdeclase | Ejercicio_2/placa.py | placa.py | py | 1,134 | python | es | code | 0 | github-code | 1 |
12000961818 | # -*- coding: utf-8 -*-
"""Classes for extinction calculation"""
from addict import Dict
from copy import deepcopy
from ELDAmwl.bases.factory import BaseOperation
from ELDAmwl.bases.factory import BaseOperationFactory
from ELDAmwl.component.interface import IExtOp
from ELDAmwl.component.interface import IMonteCarlo
fro... | actris-scc/ELDAmwl | ELDAmwl/extinction/operation.py | operation.py | py | 9,736 | python | en | code | 3 | github-code | 1 |
71082237155 | from django.views.decorators.csrf import ensure_csrf_cookie
import time
from urllib import request
from django.http import JsonResponse
from django.shortcuts import render
from django.views.generic import ListView, CreateView, TemplateView, View
from django.utils.translation import gettext_lazy as _
from .models impor... | Evgen2209/tolgobol | TolgobolVillage/MainService/views.py | views.py | py | 19,643 | python | en | code | 0 | github-code | 1 |
4490764262 | # 실습
# outlier1 을 행렬형태로 적용할 수 있도록 수정
import numpy as np
aaa = np.array([[1,2,3,4,10000,6,7,5000,90,100],
[10,20,3,40,50,60,70,8,90,100]])
aaa = aaa.transpose()
print(aaa.shape) # (10, 2)
def outliers(data_out):
data = data_out.transpose()
outlier = []
for i in range(data.shape[0]):
... | Taerimmm/ML | ml/m46_2_outliers2.py | m46_2_outliers2.py | py | 1,028 | python | en | code | 3 | github-code | 1 |
28929683261 | import physicsSim
import physicsObject
import forces
from tkinter import *
import time
import math
ti = 0.0
tf = 10.0
dt = 0.02
k=20
objects = []
simforces = []
images = []
sim = physicsSim.PhysicsSim(ti,tf,dt)
object_image_mapping = {}
def init_objects():
ball1 = physicsObject.PhysicsObject()
ball1.set_veloc... | ashwin-narkar/physicsSim | springSimulation.py | springSimulation.py | py | 2,537 | python | en | code | 0 | github-code | 1 |
32105292748 | num = int(input())
k = int(input())
number = num
is_factor = False
count = 0
for each in range(1,num+1):
if not is_factor:
if (num % number) == 0:
count = count + 1
if count == k:
print(number)
is_factor = True
number = number - 1 | bhupathiraju1998/python-intensive | KthLargestFactor.py | KthLargestFactor.py | py | 291 | python | en | code | 0 | github-code | 1 |
3511448246 | import os
import tensorflow as tf
import xlsxwriter
from tflite import Model
from tflite.BuiltinOperator import BuiltinOperator
ignore = {
# TF
"Placeholder",
"Const",
"Identity",
"Shape",
"FIFOQueueV2",
"QueueDequeueManyV2",
"TensorArrayV3",
"Enter",
"Merge",
"Range",
"... | gomida/ParseModels | parse_all.py | parse_all.py | py | 3,740 | python | en | code | 0 | github-code | 1 |
23911415558 | from subfind_provider_subscene import get_short_lang
__author__ = 'hiepsimu'
import logging
import unittest
logging.basicConfig(level=logging.DEBUG)
class LangTestCase(unittest.TestCase):
def test_01(self):
self.assertEqual('vi', get_short_lang('vietnamese'))
self.assertEqual('vi', get_short_lan... | thongdong7/subfind | tests/TestLang.py | TestLang.py | py | 506 | python | en | code | 4 | github-code | 1 |
20910669439 | # -*- coding: utf-8 -*-
# this file contains all variables that are set by the user and other configuration options
# import libraries
import nltk
import shutil
from pathlib import Path
from dataclasses import dataclass
from fasttext.util import download_model
# Define directories
DATA_DIR = Path(__file__).parent.p... | andreeaiana/geneg_benchmarking | src/config.py | config.py | py | 4,066 | python | en | code | 2 | github-code | 1 |
26940624558 | from math import factorial as fact
import common as c
'''
main block that uses is_strong() to check if its strong number
'''
def main() :
num = c.read('Enter the number.\n')
if is_strong(num) :
print(f'{num} is a strong number.')
else :
print(f'{num} isn\'t a strong number.')
# is_strong... | Vi5iON/Cumulation | strong.py | strong.py | py | 758 | python | en | code | 0 | github-code | 1 |
26191588756 | import http.client
# Create a large sample HTTP request with a size larger than 1024 bytes
large_request = "GET /example HTTP/1.1\r\n" + ("X" * 1500) # Total size exceeds 1024 bytes
# Set up the HTTP connection to your server
conn = http.client.HTTPConnection("localhost", 6789) # Replace with your server's host and... | smartlocus/Distributed-Banksystem-Communication | networking/httpclient.py | httpclient.py | py | 552 | python | en | code | 0 | github-code | 1 |
3797849770 | import schedule
import vars
import time
import win32com.client
import logging
from datetime import datetime
from os import environ
def run_job(url, start_time, end_time):
logging.info('Start job: %s', url)
if start_time:
t_now = datetime.now()
t_start = datetime.strptime(start_time, '%H:%M')
... | Nefritful/HDESKbot | cron.py | cron.py | py | 2,305 | python | en | code | 0 | github-code | 1 |
9891154469 | import pandas as pd
import numpy as np
df = pd.read_excel('redcap_data.xlsx')
df_t = df.pivot_table(index=['project_id', 'event_id'], columns='field_name', values='value', aggfunc=np.sum)
df_t_new = df_t.reset_index()
df_t_new['UniqueID'] = df_t_new['project_id'].map(str) + '-' + df_t_new['event_id'].map(str)
df_t_ne... | 6chengshu/Prosper_Canada | OFEC_ETL.py | OFEC_ETL.py | py | 5,150 | python | en | code | 0 | github-code | 1 |
28560625854 | import random
def rock_paper_scissor():
if user == computer:
print("Tie")
elif user == "Rock":
if computer == "scissors":
print("Rock Smashes Scissors, You Win..!")
else:
print("Paper Covers Rock, You lose..!")
elif user == "paper":
if computer == "Rock":
print("Paper covers ro... | sharashandra/Rock_paper_scissors-game | rock_paper_scissors.py | rock_paper_scissors.py | py | 729 | python | en | code | 0 | github-code | 1 |
70508727393 | import tensorflow as tf
(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()
x_train = x_train.reshape(x_train.shape[0], 28, 28, 1)
x_test = x_test.reshape(x_test.shape[0], 28, 28, 1)
input_shape = (28, 28, 1)
x_train = x_train.astype('float32')
x_test = x_test.astype('float32')
x_train /= 255
... | akhil-here/DigitRecognizer | digit_recognition.py | digit_recognition.py | py | 1,175 | python | en | code | 0 | github-code | 1 |
6537004052 | from node import *
def preOrderFind8LetterNames(node):
print(f"Visiting node {node}...")
if len(str(node)) == 8:
print(f'Found {node}')
if node.left is not None:
preOrderFind8LetterNames(node.left)
if node.right is not None:
preOrderFind8LetterNames(node.right)
def postOrde... | SBrman/as-recursion | chapter_4/dfs.py | dfs.py | py | 1,127 | python | en | code | 0 | github-code | 1 |
31749480967 | # Author: Sergey Chaban <sergey.chaban@gmail.com>
import sys
import hou
import os
import imp
import re
import struct
import inspect
from math import *
import xcore
import xhou
try: xrange
except: xrange = range
class ColBVHNode:
def __init__(self, bvh):
self.bvh = bvh
self.ipols = []
sel... | schaban/crosscore_dev | exp/hou_xcol.py | hou_xcol.py | py | 7,622 | python | en | code | 11 | github-code | 1 |
19645785620 | """ Ass1 Task1 Q3 - GregL 83186557 - T1Q3.py """
from sys import argv
# setup above tax table into arrays supporting the calculation
TabLow = [0, 18200, 37000, 87000, 180000]
TaxBase = [0, 0, 3572, 19822, 54532]
TaxRate = [0, 0.19, 0.325, 0.37, 0.45]
# first parm should be gross income, otherwise pr... | gvlawrence/MQ-ACST890 | A1T1/T1Q3.py | T1Q3.py | py | 1,022 | python | en | code | 0 | github-code | 1 |
4835320806 | #!/usr/bin/env python
import scapy.all as scapy
import time
def get_mac(ip):
"""
Get the mac address of the given IP
"""
arp_request = scapy.ARP(pdst=ip)
broadcast = scapy.Ether(dst="ff:ff:ff:ff:ff:ff")
arp_request_broadcast = broadcast_arp_request
answered_list = scapy.srp(arp_request... | wi-r-es/arp_spoofer | arp_spoofer_3.py | arp_spoofer_3.py | py | 1,966 | python | en | code | 0 | github-code | 1 |
10785703127 | class Solution:
# count the occurences of an element in an array
def countOccurrences(self, arr, n, x):
res = 0
for i in range(n):
if x == arr[i]:
res += 1
return res
# count the zeroes in the list/array
def moveZeroes(self, arr):
value = i... | codebee25/basicalgorithprograms | basicprograms/OccurenceElements.py | OccurenceElements.py | py | 1,166 | python | en | code | 0 | github-code | 1 |
40419934704 | from pathlib import Path
import numpy as np
import re
from collections import defaultdict
import re
from collections import deque
reg = re.compile(
r"p=< *(-?\d+), *(-?\d+), *(-?\d+)>, v=< *(-?\d+), *(-?\d+), *(-?\d+)>, a=< *(-?\d+), *(-?\d+), *(-?\d+)>"
)
def man_dist(v):
return np.sum(np.abs(v))
def vel_cr... | eirikhoe/advent-of-code | 2017/20/sol.py | sol.py | py | 3,665 | python | en | code | 0 | github-code | 1 |
10459298523 | """website URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/4.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based... | darkus007/DjangoAPIBlog | website/website/urls.py | urls.py | py | 2,013 | python | en | code | 0 | github-code | 1 |
33519016942 | from robotide.lib.robot.utils import seq2str
from robotide.lib.robot.errors import DataError
from .visitor import SuiteVisitor
class SuiteConfigurer(SuiteVisitor):
def __init__(self, name=None, doc=None, metadata=None, set_tags=None,
include_tags=None, exclude_tags=None, include_suites=None,
... | robotframework/RIDE | src/robotide/lib/robot/model/configurer.py | configurer.py | py | 2,782 | python | en | code | 910 | github-code | 1 |
25283111198 | import requests
import os
import subprocess
def download_file(url, local_fname=None, force_write=False):
if local_fname is None:
local_fname = url.split('/')[-1]
if not force_write and os.path.exists(local_fname):
return local_fname
r = requests.get(url, stream=True)
assert r.status_co... | houqi/mxnet | example/image-classification/common/util.py | util.py | py | 816 | python | en | code | null | github-code | 1 |
30689763711 | import argparse
import numpy as np
import torch
from torchtext.data import Iterator as BatchIter
import torch.nn.functional as F
from Beam import Beam
import causalchains.utils.data_utils as du
from causalchains.utils.data_utils import EOS_TOK, SOS_TOK, PAD_TOK
from causalchains.train.masked_cross_entropy import maske... | weberna/causalchains | causalchains/train/lm_generate.py | lm_generate.py | py | 24,410 | python | en | code | 6 | github-code | 1 |
37290512441 | from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from Grid import Grid
class GraphicGrid(object):
colours = ['b', 'g', 'r', 'c', 'm', 'y', 'k']
colours_redundant = [el + '--' for el in colours]
def __init__(self, grid=None, union_find = None, **kwargs):
self.grid = grid
... | dj8yfo/union_find_matplotlib | erdesh_renie/graphic_sample.py | graphic_sample.py | py | 3,931 | python | en | code | 0 | github-code | 1 |
31654246997 | import os
from nlplingo.oregon.event_models.uoregon.tools.global_constants import *
def get_rsync_files(path):
ignore_list = [
'python/clever/event_models/uoregon/tools/stanford_resources',
'python/clever/event_models/uoregon/tools/bert_resources',
'python/clever/event_models/uoregon/datas... | BBN-E/nlplingo | nlplingo/oregon/event_models/uoregon/tools/create_rsync_list.py | create_rsync_list.py | py | 1,229 | python | en | code | 4 | github-code | 1 |
32472496571 | # string_adv_review.py
# unique_english_letters takes a word as a parameter
# and returns the total number of unique characters,
# uppercase and lowercase characters should be counted
# indivually
letters = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz"
def unique_english_letters(word):
counter = 0
f... | jon-xo/python-practice | lesson-intro/string_adv_review.py | string_adv_review.py | py | 1,868 | python | en | code | 0 | github-code | 1 |
12045470381 | import pwd
import subprocess
from datetime import datetime, timedelta
import iso8601 # https://bitbucket.org/micktwomey/pyiso8601
from enum import Enum # https://pypi.python.org/pypi/enum34
QuotaType = Enum('block', 'inode')
QuotaState = Enum('no_quota', 'under_quota', 'soft_limit', 'hard_limit', 'grace_expired')
... | asciiphil/quotanotify | model.py | model.py | py | 10,553 | python | en | code | 1 | github-code | 1 |
20333424939 | import serial
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from matplotlib import style
import datetime as dt
fig=plt.figure()
axl=fig.add_subplot(1,1,1)
ser=serial.Serial("COM4",115200)
beat=[]
avg_beat=[]
xs=[]
ys=[]
y_range=[30,150]
def mov_avg (mylist):
N = 3
... | Uzama/Smart-Driver-Drowsiness-Detection | pulse.py | pulse.py | py | 2,300 | python | en | code | 1 | github-code | 1 |
11000881684 | import requests
from random import randint
class Person:
def __init__(self,imya="", falimia="", login="", parol=""):
self.__data = requests.get("https://api.randomdatatools.ru/").json()
self.__lorem="Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris tempor dictum quam, ut tincidunt p... | Viktor228989/python | lesson_26/instclone/klass.py | klass.py | py | 1,276 | python | en | code | 0 | github-code | 1 |
26346503086 | import fcsparser
import numpy as np
from numpy import genfromtxt
from auto_encoder_updated import file_io as io
import os.path
import sklearn.preprocessing as prep
from sklearn.model_selection import train_test_split
class Sample:
x = None
y = None
def __init__(self, x, y=None):
self.x = x
... | lthp/2019_SingleCell | legacy/auto_encoder_updated/data_hander.py | data_hander.py | py | 2,961 | python | en | code | 1 | github-code | 1 |
1317252826 | import random
import time
summa_hum = 0 # ход игрока
print("Your turn")
for i in range(3):
k1 = random.randint(1, 6)
print("Выпало", k1)
summa_hum += k1
time.sleep(0.5)
print("Total score", summa_hum)
summa_comp = 0 # ход компа
print("Comp turn")
for i in range(3):
k2 = random.randint(1, 6)
... | Igor-Chernykh/Python_example_and_exercises | Exercises/Игра в кости с компом.py | Игра в кости с компом.py | py | 641 | python | en | code | 0 | github-code | 1 |
3044117056 | import math
area = float(input('Insira a área a ser pintada (m²): '))
# 1L de tinta pinta 3m², portanto, 18L (1 lata de tinta) cobre 54m².
volume_tinta = area / 54
quantidade_latas = math.ceil(volume_tinta)
custo = quantidade_latas * 80
print(f'Serão necessárias {quantidade_latas} latas de tinta no valor de R$ 80.0... | gabisiqueira/LearningPython | Volume de Tinta.py | Volume de Tinta.py | py | 388 | python | pt | code | 0 | github-code | 1 |
26781815105 | import datetime
import json
import os
import pandas as pd
import twitter
def create_twitter_api():
"""Check environment and return appropriate twitter API"""
# API CREDENTIALS
path = "twitter-credentials.json"
# if running from local machine
if os.path.exists(path):
with open(path, "r"... | SamEdwardes/sentiment-cdn-election | src/twitter_data.py | twitter_data.py | py | 4,061 | python | en | code | 0 | github-code | 1 |
38902720903 |
import os
import sys
import time
import json
import threading
class GitManager:
def __init__(self, __dir_path=os.path.dirname(os.path.realpath(__file__))):
self.__dir_path = __dir_path
self.__folder_list = os.listdir(self.__dir_path)
self.__repositories_list_name = "repositoriy_list.txt"
... | qinbatista/Tool-PythonHelper | GitUploadAllProjects.py | GitUploadAllProjects.py | py | 3,488 | python | en | code | 0 | github-code | 1 |
8996178012 | class ColoringProblem:
def __init__(self, adj, N, C):
self.adj = adj # Adjecency matrix
self.N = N # nodes
self.C = C # colors
# Colors assigned to each node
self.colors = [None for x in range(N)]
def solveProblem(self):
# First node is colored 0
self... | tuncatunc/algorithms | Algorithims/Backtracking/ColoringProblem.py | ColoringProblem.py | py | 2,203 | python | en | code | 0 | github-code | 1 |
10457254206 | def calculate_average(list_of_numbers):
sum_of_numbers=0
length_of_list=len(list_of_numbers)
for r in range(length_of_list):
sum_of_numbers=sum_of_numbers+list_of_numbers[r]
mean_of_list=sum_of_numbers/length_of_list
print('The average is {}.'.format(mean_of_list))
def concatenate_s... | dmatekenya/AIMS2019-Dakar-BigDataCourse | exercise-submission/day1/Djabarou_Issotina.py | Djabarou_Issotina.py | py | 644 | python | en | code | 1 | github-code | 1 |
3017881666 | from utils import *
def read_data(filename):
with open(filename, 'r') as f:
data = f.read()
return [
(cmd, int(value))
for cmd, value in map(str.split, data.strip().splitlines())
]
def task1(filename):
depth = 0
x = 0
commands = read_data(filename)
for cmd, value... | Evgenus/advent-of-code | 2021/02/main.py | main.py | py | 1,026 | python | en | code | 2 | github-code | 1 |
25035819316 | #!/usr/bin/env python2.7
import sys
import os
from CParser import CParser
LIBNAME = 'example'
# Correlation table for direct types
cor = {
'bool': 'ctypes.c_bool',
'char': 'ctypes.c_char',
'byte': 'ctypes.c_byte',
'unsigned byte': 'ctypes.c_ubyte',
'short': 'ctypes.c_short',
'unsigned shor... | gquere/htopy | htopy.py | htopy.py | py | 3,627 | python | en | code | 0 | github-code | 1 |
3247018559 | from numba import jit
from jit_talib import jit_ma
import numpy as np
from datetime import datetime
@jit(nopython=True)
def jit_ttm_strategy(tick, chart, position, global_data):
now_pos = global_data['chart_pos']
open_volume = 0.05
open_array, high_array, low_array, close_array = chart[1][:
... | dajinforjustice/bitcoin | strategy/JitTTMStrategy.py | JitTTMStrategy.py | py | 6,541 | python | en | code | 0 | github-code | 1 |
25038963926 | from os import system
def get_menus(title, menus):
res = -1
while res == -1:
# if clear_:
# clear()
print("\n" + title)
for i, menu in enumerate(menus):
row = str(i + 1) + " - " + menu['name']
if 'value' in menu:
row += " => " + str(m... | gquesnot/Ez_Automation | util/InputHandler.py | InputHandler.py | py | 1,750 | python | en | code | 0 | github-code | 1 |
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