seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 โ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k โ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
170525452 | import sys
def sort_get_degree(term):
return (term.degree)
def handle_degree(object_list):
degree = -1
for obj in object_list:
try:
if int(obj.degree) > degree:
degree = int(obj.degree)
except ValueError:
raise SystemExit('Degree must be an Intege... | MikeyLHolm/Hive-computorV1 | src/degree.py | degree.py | py | 621 | python | en | code | 0 | github-code | 36 |
42164236500 | #!/usr/bin/env python
"""
Provide image saving service. The callback is function wait_for_message. The message is transferred to cv and then saved.
imageSave:
request has two attributes, path and number (sequence number)
response has a single bool type of whether image saving success.
When passing request to the servic... | wuyang3/workspace | catkin_ws/src/poke_gazebo/scripts/poke_image_saver.py | poke_image_saver.py | py | 3,559 | python | en | code | 0 | github-code | 36 |
37412163105 | from copy import deepcopy
import h5py
import numpy as np
import pytest
import six
from ...util.functions import virtual_file
from .. import (CartesianGrid,
CylindricalPolarGrid,
SphericalPolarGrid,
AMRGrid,
OctreeGrid)
ALL_GRID_TYPES = ['car', 'sph', 'c... | hyperion-rt/hyperion | hyperion/grid/tests/test_io.py | test_io.py | py | 6,744 | python | en | code | 51 | github-code | 36 |
7770832461 | import arcpy
def CorridorTreeLoss(): # CorridorTreeLoss
# To allow overwriting outputs change overwriteOutput option to True.
arcpy.env.overwriteOutput = False
# Check out any necessary licenses.
arcpy.CheckOutExtension("spatial")
San_Lucas_5_ = arcpy.Raster("Tree Loss Cost Distance\\... | jpaleja/jaguar-corridor-analysis | CorridorTreeLoss.py | CorridorTreeLoss.py | py | 4,728 | python | en | code | 0 | github-code | 36 |
74498162984 | import streamlit as st
from sklearn import datasets
from sklearn.ensemble import RandomForestClassifier
import pandas as pd
# Chargement du dataset Iris et Random Forest Classifier
iris = datasets.load_iris()
x = iris.data
y = iris.target
foret=RandomForestClassifier()
foret.fit(x,y)
# Creation de l'ap... | MamadouPNDIAYE/ML_App | iris.py | iris.py | py | 1,538 | python | fr | code | 0 | github-code | 36 |
21077990927 | from tool import *
import re
desktop = GetDesktopPath()
comment_list = []
for file_path in laf(desktop + '\\aicharacter'):
# print(os.path.splitext(file_path))
if os.path.splitext(file_path)[1] == '.aic':
with open(file_path, 'r+', encoding='utf-8') as f:
content = f.read()
path ... | hongxiaoo/DOF_TaiWan | Apc/apc.py | apc.py | py | 738 | python | en | code | 13 | github-code | 36 |
6353439339 | import json
import psycopg2
def lambda_handler(event, context):
db_host = "database-2.cjcukgskbtyu.ap-southeast-2.rds.amazonaws.com"
db_user = "postgres"
db_password = "sengpsql" # Please don't hack us
db_name = "database2"
db_port = 5432
conn = psycopg2.connect(
host=db_host,
... | SENG3011-megAPIxels/interactive-outbreak-predictor | PHASE_1/API_SourceCode/parser/report.py | report.py | py | 1,078 | python | en | code | 1 | github-code | 36 |
4154017173 | # -*- coding: utf-8 -*-
"""
Created on Sun Sep 25 11:48:09 2016
@author: Francisco
"""
#import numpy as np
balance = 320000
annualInterestRate = 0.2
i = 0
for p in ((balance//12.0),
(balance*(1 + annualInterestRate//12)**12)/12,1):
bal_1 = [balance]
print[p]
for i in range(13):
... | pakinja/Python-Codes | MIT/fixpay_bisec1.py | fixpay_bisec1.py | py | 582 | python | en | code | 0 | github-code | 36 |
35376276958 | # class Unit : # ๋ถ๋ชจ ํด๋์ค
# def __init__(self, name, hp, speed) : # init๋ Unit์ผ๋ก ์์ฑ๋ ๋ ์๋์ผ๋ก ๋ค์ด๊ฐ
# self.name = name
# self.hp = hp
# self.speed = speed
# print ("{} ์ ๋์ด ์์ฑ๋์์ต๋๋ค.".format(name))
# def move(self, location) :
# print ("[์ง์ ์ ๋ ์ด๋]")
# print ("{} ... | wrath-sinsa/Study | nadocoding/studying_mono.py/free8.py | free8.py | py | 6,843 | python | ko | code | 0 | github-code | 36 |
42154643868 | N, M = map(int, input().split())
a = set()
b = set()
for i in range(N):
a.add(input())
for j in range(M):
b.add(input())
print(len(a & b))
for i in sorted(a & b):
print(i)
| FeelingXD/algorithm | beakjoon/solve.ac/1764.py | 1764.py | py | 184 | python | en | code | 2 | github-code | 36 |
856491497 | #!/usr/bin/env python
from pyhesity import *
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('-v', '--vip', type=str, default='helios.cohesity.com')
parser.add_argument('-u', '--username', type=str, default='helios')
parser.add_argument('-d', '--domain', type=str, default='local')
parser.add_ar... | bseltz-cohesity/scripts | python/protectMongoDB/protectMongoDB.py | protectMongoDB.py | py | 8,412 | python | en | code | 85 | github-code | 36 |
38565479182 | from gluonts.dataset.util import to_pandas
import logging
import pandas as pd
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from gluonts.dataset.field_names import FieldName
import os
import numpy as np
from pandas.tseries import offsets
from pandas.tseries.frequencies import to_offs... | joelongLin/Shared_SSM | gluonts/lzl_shared_ssm/utils/tool_func.py | tool_func.py | py | 14,028 | python | en | code | 0 | github-code | 36 |
38676635360 | # -*- coding: utf-8 -*-
"""
Created on Thu May 4 10:51:36 2017
@author: FunkyBlack
"""
import numpy as np
import matplotlib.pyplot as plt
def obj_fun(A, b, x):
#==============================================================================
# define the test function
# T T
# T... | FunkyBlack/CSMath-homeworks | Homework4/levenberg_marquardt.py | levenberg_marquardt.py | py | 2,756 | python | en | code | 0 | github-code | 36 |
40748274206 | import numpy as np
from math import atan2
class Point:
def __init__(self, x: float = None, y: float = None, z: float = None, vector: np.ndarray = None):
self._x = x
self._y = y
self._z = z
self.vector = vector
if None not in (self.x, self.y, self.z):
self.vect... | TelergySoftware/PyRobo | pyrobo/core.py | core.py | py | 5,584 | python | en | code | 1 | github-code | 36 |
75104184745 | # In a non-empty array of numbers, every number appears exactly twice except
# two numbers that appear only once. Find the two numbers that appear only once.
# Example:
# Input: [1, 4, 2, 1, 3, 5, 6, 2, 3, 5]
# Output: [4, 6]
def find_single_numbers(nums):
x = nums[0]
for i in range(1, len(nums)):
x ... | itsmeichigo/Playgrounds | GrokkingTheCodingInterview/BitwiseXOR/two-single-numbers.py | two-single-numbers.py | py | 1,250 | python | en | code | 0 | github-code | 36 |
31845165162 | from libqtile.config import Key, Screen, Group, Drag, Click
from libqtile.lazy import lazy
from libqtile import layout, bar, widget, hook
from libqtile.widget import cpu,BatteryIcon, battery, khal_calendar
import psutil
import dateutil
#import iwlib
from os import path
import subprocess
@hook.subscribe.startup_once
... | cesareduardomejia/my_arch_configuration | .config/qtile/config.py | config.py | py | 15,985 | python | en | code | 0 | github-code | 36 |
74967962022 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
get_ipython().run_line_magic('matplotlib', 'inline')
# (section:results_wagner)=
# # Identification of a dynamical system for the Wagner function
#
# ## Data generation
#
# As a first step, data for the analytical form of the Wagner function is generated. As seen in... | enricofoglia/SIA_RP_Report | _build/jupyter_execute/08WagnerSINDy.py | 08WagnerSINDy.py | py | 12,852 | python | en | code | 0 | github-code | 36 |
18735035904 | import scrapy
from Lab5_1.SeleniumRequest import SeleniumRequest
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions
from Lab5_1.items import Lab51Item
class AirbnbSpider(scrapy.Spider):
name = "airbnb"
allowed_domains = ["airbnb.com.ua"]
start_urls = ["h... | Ivan7281/Lab-Data-Scraping | Lab5_1/Lab5_1/spiders/airbnb.py | airbnb.py | py | 762 | python | en | code | 0 | github-code | 36 |
18489726570 | from sys import stdin
R, C = map(int, stdin.readline().split())
# '.' = ๋น์นธ, 's' = ์, 'w' = ๋๋
# ๋๋๊ฐ ์์ด ์๋ ์นธ์ผ๋ก ๊ฐ ์ ์๊ฒ ํ ์ ์๋ค๋ฉด 1์ถ๋ ฅ
# ์ธํ๋ฆฌ๋ 'D'
# ๋๋๊ฐ ์ํํ
๊ฐ ์ ์๋ค๋ฉด 0 ์ถ๋ ฅ
pasture = [list(input()) for _ in range(R)] # ๋ชฉ์ฅ ์ํ ์
๋ ฅ
move = [(-1, 0), (1, 0), (0, -1), (0, 1)] # ์,ํ,์ข,์ฐ ์ขํ์ด๋
flag = False
for i in range(R):
for... | Hansung-include/Coding-Test-Study | 03์ฃผ์ฐจ/16956/๊น๋ฏผ์ค_16956.py | ๊น๋ฏผ์ค_16956.py | py | 974 | python | ko | code | 0 | github-code | 36 |
41978343892 | from ja.common.job import JobStatus
from ja.server.config import ServerConfig
from ja.server.database.sql.database import SQLDatabase
from ja.server.database.types.work_machine import WorkMachineState
from ja.server.dispatcher.dispatcher import Dispatcher
from ja.server.dispatcher.proxy_factory import WorkerProxyFactor... | DistributedTaskScheduling/JobAdder | src/ja/server/main.py | main.py | py | 5,061 | python | en | code | 2 | github-code | 36 |
39689533340 | from atlas import Operation, Entity
from physics import Point3D
from rules import Location
from mind.goals.dynamic.DynamicGoal import DynamicGoal
class School(DynamicGoal):
"""Move in a shoal with other animals of the same type"""
def __init__(self, members=[], desc="mirror the movement of other animals lik... | worldforge/cyphesis | data/rulesets/basic/scripts/mind/goals/animal/herd.py | herd.py | py | 8,106 | python | en | code | 95 | github-code | 36 |
18431033624 | import copy
import random
import math
from fastapi import HTTPException
from nltk.tree import Tree
from schemas.paraphrasing_schemas import TreeParaphraseList, TreeParaphrase
class TreeParaphrasingService:
def __init__(self, tree_str: str):
self.tree = Tree.fromstring(tree_str)
def count_tree_permu... | Cerne13/paraphrasing-test-task | services/paraphrasing_service.py | paraphrasing_service.py | py | 2,400 | python | en | code | 0 | github-code | 36 |
39553984143 | import numpy as np
import cv2
import os
import time
from process_img import grab_screen
from direct_keys import PressKey, ReleaseKey, W, S, A, D
from getkeys import key_check
from tensorflow.keras.models import load_model
from global_var import *
def straight():
PressKey(W)
ReleaseKey(A)
ReleaseKey(D)
d... | MendelDamian/Using-AI-to-follow-path-in-minecraft | main.py | main.py | py | 2,254 | python | en | code | 0 | github-code | 36 |
71606824103 | import os
import sys
import threading
from paho.mqtt import client as mqtt_client
from App.Utilities import save_sensor_data
# Environmental Variables
broker = str(os.environ['MQTT_BROKER_IP']) # '167.233.7.5'
port = int(os.environ['MQTT_BROKER_PORT']) # 1883
topic = [str(os.environ['MQTT_GPS_MESSAGE_TOPIC'])... | jacobpaul07/Django-Api-Sensor-Monitoring | App/MQTT/mqtt_subscribe.py | mqtt_subscribe.py | py | 1,713 | python | en | code | 0 | github-code | 36 |
38917312351 | # -*- coding: utf-8 -*-
from bot import BotPlugin
import re
regex = BotPlugin()
search_re = re.compile(r'(?:^|\s)s/([^/]+)/([^/]*)/([gi]*)(?:\s|$)')
match_re = re.compile(r'^([^\s]+):\s+s/([^/]+)/([^/]*)/([gi]*)$')
lastline = {}
def dosub(orig, repl, line, flags):
f = 0
count = 1
if "i" in flags:
... | anatidae/entchen | plugins/regex.py | regex.py | py | 1,241 | python | en | code | 3 | github-code | 36 |
19830142972 | from datetime import datetime
from typing import List, Optional, Tuple
from api.models.booking_model import Booking
from api.models.room_model import Room
from api.models.user_model import User
from api.repository.rooms_repository import RoomsRepository
from api.repository.user_repository import UserRepository
from .... | Tomdango/Q4-2021-SoftEngDevOps | api/repository/booking_repository.py | booking_repository.py | py | 5,261 | python | en | code | 0 | github-code | 36 |
30071276942 | from datetime import datetime
from elasticsearch import Elasticsearch
DEBUG = True
def connect_elasticsearch():
_es = None
_es = Elasticsearch([{'host': 'localhost', 'port': 9200}])
if DEBUG:
if _es.ping():
print('[+] Connected to elasticsearch successfully')
else:
... | CUTLER-H2020/DataCrawlers | Economic/maps.me/elasticsearch_functions.py | elasticsearch_functions.py | py | 773 | python | en | code | 3 | github-code | 36 |
34113477971 | import numpy as np
import matplotlib.pyplot as plt
import pystan
np.set_printoptions(precision=5, suppress=True)
import gzip
import os
import pdb
import pickle
seed = 1
np.random.seed(seed)
n_N = 500
n_F = 5
n_Y = 10
n_D = 2000
n_W = 1000
n_C = 4
AD = 0.95
Y = np.zeros((n_N, n_Y))
B = np.zeros((n_Y, n_F))
log_F_s... | atechnicolorskye/post_sum | infer/infer.py | infer.py | py | 2,408 | python | en | code | 1 | github-code | 36 |
8613109116 | from tkinter import *
class RetaPontoMedio:
def __init__(self,imagem):
self.imagem = imagem
def desenhaRetaPontoMedio(self,start, end):
# Condiรงรตes iniciais de configuraรงรฃo
x1, y1 = start
x2, y2 = end
dx = x2 - x1
dy = y2 - y1
# Determine o quรฃo รญng... | carlos-hns/Computacao-Grafica | laboratorios/lab2/algoritmos/ponto_medio.py | ponto_medio.py | py | 1,470 | python | pt | code | 0 | github-code | 36 |
39124423429 | """Classes that represent an IPS patch."""
import operator
BYTEORDER = 'big'
OFFSET_SIZE = 3
OFFSET_BITS = OFFSET_SIZE * 8
OFFSET_MAX = 2 ** OFFSET_BITS - 1
SIZE_SIZE = 2
SIZE_BITS = SIZE_SIZE * 8
SIZE_MAX = 2 ** SIZE_BITS - 1
RLE_SIZE_SIZE = 2
RLE_SIZE_BITS = RLE_SIZE_SIZE * 8
RLE_SIZE_MAX = 2 ** RLE_SIZE_BITS - 1
P... | eduardomezencio/python-patcher | ips_patch.py | ips_patch.py | py | 6,189 | python | en | code | 0 | github-code | 36 |
26543825982 | from setuptools import setup
with open('README.rst') as f:
long_description = f.read()
setup(
name = 'PorownywarkaOfert',
version = '0.1',
author = 'saraCzelusniak',
author_email = 'saraCzelusniak@bitbucket.org',
url = '',
description = 'Porownywanie ofert',
long_description = long_des... | czelsa/porownywarka-ofert | virt2/setup.py | setup.py | py | 683 | python | en | code | 0 | github-code | 36 |
37502404537 | # https://www.acmicpc.net/problem/1654
K, N = map(int, input().split())
lan = []
for _ in range(K):
lan.append(int(input()))
le = 1
ri = 0x7fffffff
mid = 0
ans = 0
while le <= ri:
mid = (le + ri) // 2
cnt = 0
for cm in lan:
cnt += cm // mid
if cnt > N:
break
if cnt < N :
... | junsgi/Algorithm | Binary_Search/๋์ ์๋ฅด๊ธฐ.py | ๋์ ์๋ฅด๊ธฐ.py | py | 410 | python | en | code | 0 | github-code | 36 |
9829683140 | def parking_lot(count):
parking = set()
for i in range(count):
data = input().split(", ")
command, car = data
if command == "IN":
parking.add(car)
else:
parking.remove(car)
if parking:
for car in parking:
print(car)
else:
... | skafev/Python_advanced | 02Second_week/04Parking_lot.py | 04Parking_lot.py | py | 410 | python | en | code | 0 | github-code | 36 |
8463069059 | # -*- coding: utf-8 -*-
# author๏ผyaoyao time:2019/9/27
"""
ๆ ผๅผ๏ผ
ๅฎไนไธไธชๅ้๏ผ่ตๅผ
while ๆกไปถๅคๆญ่ฏญๅฅ โ ๏ผ
้ๅคๆง่กไปฃ็ ๅ โก:
ไฟฎๆนๆกไปถ็่ฏญๅฅ โข
ๆง่กๆต็จ๏ผ
โ โกโขโฃ - โกโขโฃ - โกโขโฃ - ... , ็ดๅฐโก็็ปๆไธบFalse,ๆดไธชๅพช็ฏ่ฏญๅฅๅฐฑ็ปๆไบ,ไธๅๅพช็ฏไบ.
"""
# ๆๅฐๅบ 1-5ไน้ด็ๆฏไธชๆฐๅญ.
i = 1
while i <= 5:
print(i)
# ่ฎฉiๅ 1๏ผๆฏไธบไบไธๆฌกๆๅฐๆถ๏ผๆๅฐๅบๆฅๅ้ขไธไธชๆฐๅญ
i += 1
| yywecanwin/PythonLearning | day03/02.ๅพช็ฏ่ฏญๅฅ.py | 02.ๅพช็ฏ่ฏญๅฅ.py | py | 521 | python | zh | code | 1 | github-code | 36 |
26540694817 | import math
from PyQt5.QtWidgets import QApplication, QLabel, QLineEdit, QPushButton, QVBoxLayout, QWidget, QCheckBox
class Quader():
def __init__(self, lรคnge, breite, hรถhe):
self.A = int(lรคnge)
self.B = int(breite)
self.C = int(hรถhe)
def __str__(self):
outputStr = "---------... | su595/MyPython | math programs/volumenRechner.py | volumenRechner.py | py | 4,416 | python | de | code | 2 | github-code | 36 |
74224406183 | import datetime
import logging
import numpy as np
import os
import skimage.io as io
from sklearn.cluster import KMeans
from skimage import img_as_float
from skimage.color import rgb2lab
from skimage.exposure import equalize_adapthist
from skimage.filters import gaussian
from skimage.transform import resize
from src.d... | AntoineRouland/ki67 | src/v3_Lab_separation/run_v3.py | run_v3.py | py | 6,283 | python | en | code | 1 | github-code | 36 |
13889355883 | import sys
arguments = sys.argv[1:]
def isVowel(char):
if(char in 'aeiou'):
return True
return False
def isAlpha(char):
return not isVowel(char)
if(len(arguments) < 2):
print('''let\'s try this.
python count.py [type] [string]
[type] is type of char which you want to count in string.... | Revitate/TheInternship-dev-sol | 1/count.py | count.py | py | 1,147 | python | en | code | 0 | github-code | 36 |
13070210533 | def solution(n, k):
k -= 1
i = k
A = list(range(1, n + 1))
res = []
while len(A) > 1:
res.append(A.pop(i))
i = (i + k) % (len(A))
return res
print(solution(5, 3)) | Jason003/Interview_Code_Python | Quora/OA/elimanating.py | elimanating.py | py | 203 | python | en | code | 3 | github-code | 36 |
39240946152 | """
Writes MESS input for a monte carlo partition function calculation
"""
import os
from mako.template import Template
from mess_io.writer import util
# OBTAIN THE PATH TO THE DIRECTORY CONTAINING THE TEMPLATES #
SRC_PATH = os.path.dirname(os.path.realpath(__file__))
TEMPLATE_PATH = os.path.join(SRC_PATH, 'template... | sjklipp/interfaces_1219 | mess_io/writer/monte_carlo.py | monte_carlo.py | py | 2,141 | python | en | code | 0 | github-code | 36 |
4944678267 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# encoding: utf-8
#ๅฎขๆท็ซฏ่ฐ็จ๏ผ็จไบๆฅ็API่ฟๅ็ปๆ
import json
import os
import hashlib
import json
import platform
def getSysType():
sysSystem = platform.system()
if sysSystem == 'Windows': #mac็ณป็ป
return 'win'
elif sysSystem == 'Darwin':
return 'mac'
elif... | fengmm521/okex_robot | util/signTool.py | signTool.py | py | 1,077 | python | en | code | 0 | github-code | 36 |
42147526124 | import copy
import logging
import traceback
from typing import Any, Dict, Optional, List
from .base_trigger import TriggerEvent, BaseTrigger
from .playbook_utils import merge_global_params
from .playbooks_event_handler import PlaybooksEventHandler
from ..model.events import ExecutionBaseEvent
from ..reporting.base imp... | m8e/robusta | src/robusta/core/playbooks/playbooks_event_handler_impl.py | playbooks_event_handler_impl.py | py | 8,001 | python | en | code | null | github-code | 36 |
2863282601 | """
ๅ่ฝ๏ผ ๅฎ็ฐ็พๅบฆ็ฟป่ฏ็็้ข๏ผ็บฏ็ฒนๆจกไปฟ็พๅบฆ็ฟป่ฏ้กต้ข๏ผ
ไฝ่
๏ผ Miller
ๆฅๆ๏ผ 2019-04-10
"""
from PyQt5.QtWidgets import *
class BaiduDialog(QDialog):
def __init__(self, crawler, parent=None):
super().__init__(parent=parent)
self.__crawler = crawler
# ------------- ่ฎพ่ฎกไธๆๅปบUI็้ขๅผๅง
# ่ฎพ่ฎกๅธๅฑ
layout_ou... | XiaJune/A-small | d10_pro_baidu_zhihu/baidu/baidudialog.py | baidudialog.py | py | 2,309 | python | zh | code | 0 | github-code | 36 |
7152283168 | # ##### BEGIN GPL LICENSE BLOCK #####
#
# 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.
#
# This program is distrib... | Looking-Glass/blenderLKG | looking_glass_tools/looking_glass_settings.py | looking_glass_settings.py | py | 9,262 | python | en | code | 34 | github-code | 36 |
4952473730 | from enum import Enum
from pprint import PrettyPrinter
PREFIX = 'Unit'
SUFIX = 'Event'
def parse_unit_event_string(input):
min_length = len(PREFIX) + len(SUFIX)
if len(input) > min_length:
begin = len(PREFIX)
end = len(input) - len(SUFIX)
return input[begin:end]
else:
ret... | khklau/sc2-analysis | facts/unit_event.py | unit_event.py | py | 329 | python | en | code | 0 | github-code | 36 |
43145801264 | # -*- encoding: utf-8 -*-
import os
import time
import pyautogui as auto
import PyHook3 as pyhook
import pythoncom
from PIL import Image
from pytesseract import image_to_string
from googletrans import Translator
import asyncio
import tkinter as tk
# ๅผๅ
ฅๅญไฝๆจกๅ
import tkinter.font as tkFont
from concurrent.futures import ... | minskiter/capword | index.py | index.py | py | 2,564 | python | en | code | 0 | github-code | 36 |
17260671113 | from scipy import stats
import numpy as np
import csv
sentiment_scores = np.random.random(52)
# input should be a numpy array of sentiment scores for the 50 states
def calculateRegressions(sentiment_scores):
white_ratios = []
male_ratios = []
educations = []
populations = []
incomes = []
criteria = ("white r... | yongzheng9405/-TwitterSentimentAnalysisProject | scripts/regression.py | regression.py | py | 1,673 | python | en | code | 0 | github-code | 36 |
28147932222 | import math
def distance_from_fft(point, ratio, image_shape):
'''This is a function used to calculate the distance\
between one point and origin. The ratio should be in\
unit of pixel/nm'''
cord_list = []
for i in range(len(point)):
cord_list.append(point[i]**2)
pixel_length ... | crystalmaths/crystalmaths | crystalmaths/distance_from_fft.py | distance_from_fft.py | py | 479 | python | en | code | 2 | github-code | 36 |
8473334100 | """To run this: $ python3 parse.py test.xml
The script will pase a XML file and print its node tags.
Compatible with Python 3; changing the print statements should make this
compatible with Python 2.
"""
import sys
# http://docs.python.org/library/xml.etree.elementtree.html
from xml.etree import ElementTree
def ope... | babywyrm/sysadmin | pyth3/xml/print_node_tags_.py | print_node_tags_.py | py | 1,104 | python | en | code | 10 | github-code | 36 |
27102703139 | import os
import re
import logging
import json
from datetime import datetime, timedelta
from pathlib import Path
import requests
import spotipy
from spotipy import SpotifyOAuth
from spotipy.oauth2 import SpotifyClientCredentials
from dagster_cron import SystemCronScheduler
from dagster import (
RepositoryDefinitio... | ikedaosushi/ikedaosushi-dagster | spotify.py | spotify.py | py | 6,273 | python | en | code | 0 | github-code | 36 |
1243606709 | import pygame as pg
from numpy import zeros
from constants import consts as c
from id_mapping import id_map, reverse_id_map
class World:
def __init__(self):
self.grid = zeros((c.num_cells, c.num_cells), dtype=int)
self.ore_locations = []
self.grid[10:13, 10:12] = id_map["coal"]
s... | chanrt/py-factory | world.py | world.py | py | 1,382 | python | en | code | 11 | github-code | 36 |
25458093560 | """Analyze word-level LIWC scores between lucid and non-lucid dreams.
***Note this does not re-run LIWC, but loads in prior results.
IMPORTS
=======
- original post info, dreamviews-posts.tsv
- word-level LIWC scores, validate-liwc_wordscores.tsv
- LIWC dictionary, dictionaries/custom.dic
EXPORT... | remrama/dreamviews | validate-liwc_word_stats.py | validate-liwc_word_stats.py | py | 5,290 | python | en | code | 1 | github-code | 36 |
38227453623 | from collections import defaultdict
from datetime import time
from typing import Dict, List
import pandas as pd
from pandas import ExcelFile
class ConfigMaker:
def make_regions_config(self, excel_file: ExcelFile) -> Dict[str, str]:
regions = {}
df = pd.read_excel(excel_file, sheet_name="Region--... | tenetko/phone-numbers-beautifier | backend/src/core/config_maker/tzb_config_maker.py | tzb_config_maker.py | py | 3,898 | python | en | code | 0 | github-code | 36 |
5371067321 | from splinter import Browser
from bs4 import BeautifulSoup
import time
import pandas as pd
import pymongo
import requests
def init_browser():
executable_path = {"executable_path": "chromedriver.exe"}
return Browser("chrome", **executable_path, headless=False)
def scrape():
browser = init_browser()
# ... | omeza3547/web-scraping-challenge | Mission_to_Mars/scrape_mars.py | scrape_mars.py | py | 3,060 | python | en | code | 0 | github-code | 36 |
7775693352 | from torch.utils.data import Dataset
from torchvision import transforms
import numpy as np
import pandas as pd
import random
from src.dataset import get_load_data
import torch
from tqdm import tqdm
def generate_train_set(train):
train_set = []
classes = [i[1] for i in train]
classes = np.array(classes)
... | tappyness1/triplet-loss-revisit | src/dataloader.py | dataloader.py | py | 1,930 | python | en | code | 0 | github-code | 36 |
29344589576 | #!/usr/bin/python
# -*- encoding: utf-8 -*-
#Created by 'quanpower' on '15-4-4'
#Email:quanpower@gmail.com
#QQ:252527676
#Site:www.smartlinkcloud.com
__author__ = 'quanpower'
import numpy as np
import cv2
#่ทๅพ่ง้ข็ๆ ผๅผ
videoCapture =cv2.VideoCapture('../files/video_test.rmvb')
#่ทๅพ็ ็ๅๅฐบๅฏธ
fps = videoCapture.get(cv2.cv.CV_... | SmartHomeRobot/OpenCV | src/cv_video_play_rmvb.py | cv_video_play_rmvb.py | py | 982 | python | en | code | 1 | github-code | 36 |
20528028503 | import os
import re
import xlrd
import xlwt
from xlutils.copy import copy
class HandleExcel:
def __init__(self):
self.root = ''
self.dir = ''
self.files = ''
self.allFile_url = ''
self.final_file_name = 'ๆต่ฏๆฐๆฎๆธ
ๆด็.xls'
self.title = ['ๆก็ ๅ
ๅฎน', 'ๆ
้้้', 'ๆต่ฏๆถ้ด']
self... | chenyaqiao0505/Code111 | HandleExcel/excel_method.py | excel_method.py | py | 3,916 | python | en | code | 0 | github-code | 36 |
33956150728 | inputValue = ""
numberList = []
while (inputValue != 'x'):
inputValue = input("Please enter numbers. If you enter x you will be shown all the numbers you have entered that repeat themselves ")
if (inputValue != 'x'):
numberList.append(inputValue)
repeatedNumbers = []
x = 0
for i in range(len(numberList)... | JoelWebber/ICTPRG-Python | Week5 210329/week5quiz1question7.py | week5quiz1question7.py | py | 539 | python | en | code | 0 | github-code | 36 |
36246411351 | #!/usr/bin/env python
import numpy as np
import rospy
from ar_commander.msg import State, ControllerCmd
RATE = 10
class EstimatorOL():
def __init__(self):
rospy.init_node('estimator')
# incominng measurements (inputs)
self.vel_cmd = None
self.omega_cmd = None
# robot st... | benkmoore/ar_commander | scripts/estimator/estimator_ol.py | estimator_ol.py | py | 1,652 | python | en | code | 0 | github-code | 36 |
29884125473 | """ AndAgainAndAgainAndAgainAndAgainAndAgainAndAgain """
def main():
""" a e i o u """
words = input().strip().split()
words_result = words.copy()
result = []
for num in range(len(words)):
fixed_word = words[num].replace('a', '#').replace('e', '#').replace('i', '#') \
.replace('o', '... | DefinitelyNotJay/ejudge | AndAgainAndAgainAndAgainAndAgainAndAgainAndAgain.py | AndAgainAndAgainAndAgainAndAgainAndAgainAndAgain.py | py | 560 | python | en | code | 0 | github-code | 36 |
33552308938 | #!/usr/bin/env python3
import os
import logging
import argparse
import csv
def process_result(result_folder):
status = "success"
summary = []
paths = []
tests = ["TLPWhere", "TLPGroupBy", "TLPHaving", "TLPWhereGroupBy", "TLPDistinct", "TLPAggregate"]
for test in tests:
err_path = '{}/{}.... | ByConity/ByConity | docker/test/sqlancer/process_sqlancer_result.py | process_sqlancer_result.py | py | 2,749 | python | en | code | 1,352 | github-code | 36 |
74430361063 | from flask import Flask
from flask import render_template, request
import subprocess, os, base64
from subprocess import PIPE, Popen
app = Flask(__name__)
@app.route('/')
def Compiler():
check = ''
return render_template('home.html', check=check)
@app.route('/submit', methods=['GET', 'POST'])
def submit():
... | apollliinaria/moodle_compiler_testik | app.py | app.py | py | 2,066 | python | en | code | 0 | github-code | 36 |
3520925666 | #!/usr/bin/env python
import math
import copy
import matplotlib.pyplot as plt
def plot_obstacles(previous_obstacles, new_obstacles, updated_obstacles, updated_labels):
# Extract x and y coordinates from the obstacles lists
prev_x, prev_y, new_x, new_y, updated_x, updated_y = [], [],[],[],[],[]
if len(pr... | husamhamu/ps_robotik | update_obstacles_approach.py | update_obstacles_approach.py | py | 5,081 | python | en | code | 1 | github-code | 36 |
20142637580 | import os, sys, argparse
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import numpy as np
import pandas as pd
import tensorflow as tf
import tensorflow.keras.backend as K
from tensorflow.keras.layers import Add, Concatenate, Dense, Embedding, Flatten, Input, InputLayer, Lambda, Layer, Reshape, Subtract
tf.keras.backend.set... | zachglick/directional-mpnn | train.py | train.py | py | 4,767 | python | en | code | 6 | github-code | 36 |
1436356058 | import pathlib
import math
import pygame as pg
# bd is short for board
bd_size = 900
grid_size = bd_size // 19
stone_radius = grid_size // 2
cross_half_len = stone_radius // 3
center_circle = [(3, 3), (3, 9), (3, 15), (9, 3), (9, 9), (9, 15),
(15, 3), (15, 9), (15, 15)]
circle_radius = stone_radius ... | XuanSmallProj/GoBang | src/params.py | params.py | py | 920 | python | en | code | 0 | github-code | 36 |
625334349 | import os
import time
import aiofiles
import aiohttp
import asyncio
from retrying import retry
class Spider(object):
"""
ไธ่ฝฝ่ทฏๅพๅจๅฎไพๅๆถๅๆๅฎ๏ผๆฏๅฆ:r'd:\test\\'๏ผ่ฟไธช็ฎๅฝๅฆๆไธๅญๅจ๏ผไผๅบ้ใ
้ป่ฎค่ทฏๅพไธบๅฝๅๆไปถไธ็downpic็ฎๅฝ๏ผๆญค็ฎๅฝๅฆๆไธๅญๅจไผ่ชๅจ็ๆ
"""
def __init__(self, down_path='', ):
self.headers = {
'User-Agent': 'Mozi... | chenxy2022/long | yituhuitu.py | yituhuitu.py | py | 5,707 | python | en | code | 0 | github-code | 36 |
43836978030 | from extract_video_frames import *
from make_barcode import *
videopath = 'video.mp4'
if os.path.exists(videopath):
frames_dir = extract_video_frames(videopath)
barcode = make_barcode(frames_dir, bar_width=20, dims=(1920,1080))
else:
print('ERROR: video file does not exist') | kaili-chen/writing-supplements | video-barcodes/barcode.py | barcode.py | py | 289 | python | en | code | 7 | github-code | 36 |
9285859360 | from os import path
from tkinter import Label, Frame, TOP, BOTTOM, RIGHT, LEFT, N, E, S, W, X, Y, BOTH, Tk, filedialog
import math
from pathlib import Path
import pyautogui
import numpy as np
from time import sleep
from PIL import Image, ImageTk
from pyautogui import position
import cv2
from src.auto_align import aut... | IronicPickle/dw-piper | src/snap.py | snap.py | py | 11,091 | python | en | code | 0 | github-code | 36 |
71688402345 | __author__ = 'vamsee'
import geojson as geo
Center = (-83.79706,42.268138)
Center_Point = geo.Point(Center)
def get_locations(filename,lat_idx,long_idx, write_filename,point_properties):
opened_file = open(filename)
features_list = []
for line in opened_file:
line_contents = line.split(',')
... | vamseedhar-reddyvari/Connected-Vehicles | scripts/rse-locations.py | rse-locations.py | py | 1,254 | python | en | code | 0 | github-code | 36 |
11880730133 | #!/usr/bin/python
import argparse
import time
import struct
import socket
import select
import sys
class PingOptions(object):
def __init__(self):
"""Reset the class; indicates the class hasn't been initailized"""
self.initialized = False
def initialize(self, parser):
parser.add_argum... | jansona/MyPingGUI | src/main/python/MyPing/opts.py | opts.py | py | 1,425 | python | en | code | 0 | github-code | 36 |
31352736355 | # For data loading
from scipy.io import loadmat
# For splitting the data into test, train, validation splits
from sklearn.model_selection import train_test_split
# For manipulation of the arrays
import numpy as np
# For file manipulation and locating
import os
# For plotting
import json
# For showing progress
from tqdm... | martinferianc/PatternRecognition-EIE4 | Coursework 2/pre_process.py | pre_process.py | py | 8,332 | python | en | code | 1 | github-code | 36 |
16172261977 | """A wrapper env that handles multiple tasks from different envs.
Useful while training multi-task reinforcement learning algorithms.
It provides observations augmented with one-hot representation of tasks.
"""
import random
import akro
import gym
import numpy as np
from src.metarl.envs.multi_env_wrapper import Mul... | icml2020submission6857/metarl | src/metarl/envs/multi_env_sampling_wrapper.py | multi_env_sampling_wrapper.py | py | 2,661 | python | en | code | 2 | github-code | 36 |
37215521511 | import pymc as pm
import numpy as np
x = np.random.normal(loc=0, scale=1, size=10) # Data Placeholder
y = np.random.normal(loc=2*x, scale=1, size=10) # Data Placeholder
with pm.Model() as model:
# Priors
ฮฑ = pm.Normal("ฮฑ", 1, 2)
ฮฒ = pm.Normal("ฮฒ", -1, 2)
ฯ = pm.Exponential("ฯ", 3)
# Linear Model
ฮผ = pm.Deter... | pbrowne88/pykrusch | examples/simple_model.py | simple_model.py | py | 587 | python | en | code | 0 | github-code | 36 |
73903152425 | # Escribe un programa que lea 2 valores a y b y que muestre en la pantalla pares de nรบmeros en donde el valor de a se incrementa de 2 en 2 y el valor de b se decrementa de 1 en 1 hasta llegar a 1. El ciclo se va a detener cuando b llegue a 1.
a = int(input("Insert first integer value: "))
b = int(input("Insert seco... | marcosdayanm/Pensamiento_Computacional_Ingenieria_TEC | Ejercicios extra/Ds contadores con while v2.py | Ds contadores con while v2.py | py | 576 | python | es | code | 0 | github-code | 36 |
71859061225 | # -*- coding: utf-8 -*-
"""
Created on Mon Dec 6 08:38:52 2021
@author: pcondon
"""
def ProcessDay(data):
initialLength = len(data)
for i in range(initialLength):
if data[i] > 0:
data[i]-=1
elif data[i] ==0:
data[i] = 6
data.append(8)
ret... | Pad094/AoC-2021 | p6.py | p6.py | py | 1,314 | python | en | code | 0 | github-code | 36 |
10831210647 | n=int(input("Enter the number of values you want: "))
lis=[]
for i in range(n):
v=input("Enter the value: ")
lis.append(v)
dict={k:v for k,v in enumerate(lis)}
# d={"Name":"Karan","Class":"IT","Rollno":33,"Name2":"Karan"}
print(dict)
temp={}
for i in range(n):
if dict[i] not in temp.values():
temp[... | Karan-Johly/Python_journey | d20_dictques_3.py | d20_dictques_3.py | py | 352 | python | en | code | 0 | github-code | 36 |
74612388585 | import tkinter
win = tkinter.Tk()
win.title("hanyb")
win.geometry("400x400+200+0")
# <ButtonRelease-1> ้ผ ๆ ๅทฆ้ฎ้ๆพ
# <ButtonRelease-2> ้ผ ๆ ไธญ้ฎ้ๆพ
# <ButtonRelease-3> ้ผ ๆ ๅณ้ฎ้ๆพ
label = tkinter.Label(win, text="you are a good man!")
label.pack()
def func(event):
print(event.x,event.y)
label.bind("<ButtonRelease-1>",func)... | hanyb-sudo/hanyb | tkinter/่กจๆ ผๆฐๆฎ-ไบไปถ-ๅธๅฑ/7ใ้ผ ๆ ้ๆพไบไปถ.py | 7ใ้ผ ๆ ้ๆพไบไปถ.py | py | 372 | python | en | code | 0 | github-code | 36 |
25434378518 | #!/usr/bin/env python
import os
import sys
def checkImport(lib):
parentDir = os.path.dirname(os.getcwd())
sys.path.append(parentDir)
if not os.path.exists(os.path.join(parentDir, lib)):
print("%s library not found." % lib)
print("please clone github.com/andrewbooker/%s.git into %s" % (lib, ... | andrewbooker/midicomposer | exampleMidi.py | exampleMidi.py | py | 1,298 | python | en | code | 0 | github-code | 36 |
733407856 | import sqlite3
import pandas as pd
from sklearn.metrics.pairwise import cosine_similarity
def get_latent_dataframe():
conn = sqlite3.connect('db/latent_features.db')
# Load the DataFrame from the database
latent_df = pd.read_sql_query('SELECT * FROM latent_features', conn,index_col='index')
conn.close(... | haris-bit/TMDB | util.py | util.py | py | 3,156 | python | en | code | 0 | github-code | 36 |
40086679560 | # -*- coding: utf-8 -*-
"""
Created on Fri Aug 27 13:25:02 2021
@author: Luca Medeiros
"""
import glob
import yaml
import torch
import wandb
import random
import json
from argparse import ArgumentParser, Namespace
from collections import defaultdict
from sklearn.metrics import f1_score
from model impo... | luca-medeiros/zeroshot_lightning | test.py | test.py | py | 7,875 | python | en | code | 0 | github-code | 36 |
1188276033 | import json
from fastapi.testclient import TestClient
from sqlalchemy.orm import Session
from app import config
class TestNodeInfoNodeInfo:
# ใในใๅฏพ่ฑกAPI
apiurl = "/NodeInfo"
# ๏ผๆญฃๅธธ็ณป1๏ผ
# ้ๅธธๅ็
ง
def test_nodeinfo_normal_1(self, client: TestClient, session: Session):
resp = client.get(self.apiu... | BoostryJP/ibet-Wallet-API | tests/app/node_info_NodeInfo_test.py | node_info_NodeInfo_test.py | py | 3,543 | python | en | code | 9 | github-code | 36 |
36935613463 | hiking = input()
base_camp = 5364
everest_peak = 8848
hiking_days = 1
while hiking != "END":
hiked_meters = int(input())
if hiking == "Yes":
hiking_days += 1
if hiking_days > 5:
print("Failed!")
print(f"{base_camp}")
break
base_camp += hiked_meters
... | didarata/SoftUni-Python-Software-Engineering | SoftUni Basics/20.Prelim Exam/05_everest.py | 05_everest.py | py | 662 | python | en | code | 0 | github-code | 36 |
29719398042 |
# # Hot Wire RNN
#%%
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import time
#%%
#Import data, U for velocity and sample rate as frequency
import h5py
with h5py.File('../resource/asnlib/publicdata/hot_wire_data.mat', 'r') as f:
U = list(f['U'])
freq = list(f['samp_rate'])
#%%
... | nathanboachie/sw_projects | src_deeplearningtf/wire_rnn_lstm_tf.py | wire_rnn_lstm_tf.py | py | 3,546 | python | en | code | 0 | github-code | 36 |
22911051083 | # %%
from typing import Dict, List
from kfp import dsl
@dsl.component(base_image="zhuwq0/quakeflow:latest")
def cut_templates(
root_path: str,
region: str,
config: Dict,
index: int = 0,
model_path: str = "../PhaseNet/",
mseed_list: List = None,
protocol: str = "file",
bucket: str = ""... | YuancongGou/QuakeFlow | slurm_MON/cut_templates.py | cut_templates.py | py | 17,298 | python | en | code | null | github-code | 36 |
35026081994 | import warnings
warnings.filterwarnings('ignore')
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('seaborn-notebook')
import re
import string
from nltk.stem import WordNetLemmatizer
from sklearn.model_selection import train_test_split
import tensorflow as tf
from tensorflow.keras... | Ravi-Maurya/Natural_Language_Processing | TwitterClassification/TwitterClassification.py | TwitterClassification.py | py | 5,410 | python | en | code | 0 | github-code | 36 |
39524138596 | def main():
weight = 0.5
alpha = 0.01 # speed of learning
goal_pred = 0.8
income = 2
alpha = 0.1
def neural_network(income, weight):
pred = income * weight
return pred
for i in range(20):
prediction = income * weight
error = (prediction - goal_pred)**2... | Viachkov/Tutor_ML | lesson_02.py | lesson_02.py | py | 840 | python | en | code | 0 | github-code | 36 |
16636321945 | from torch import nn
__all__ = ["DropPath"]
def drop_path(x, drop_prob: float = 0.0, training: bool = False, scale_by_keep: bool = True):
"""Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).
This is the same as the DropConnect impl I created for EfficientNet, etc netwo... | BloodAxe/pytorch-toolbelt | pytorch_toolbelt/modules/drop_path.py | drop_path.py | py | 1,579 | python | en | code | 1,447 | github-code | 36 |
25734461539 | import discord
import os
from discord.ext import commands
from asyncio import sleep
from dotenv import load_dotenv
from cogs.giveaway import giveaway
from cogs.polls import Polls
load_dotenv()
intents = discord.Intents.default()
intents.members = True
prefix = commands.when_mentioned_or('-')
bot = commands.Bot(comma... | tyler7kehoe/Argus | bot.py | bot.py | py | 1,489 | python | en | code | 0 | github-code | 36 |
32120333326 | import scrapy
from scrapy.loader import ItemLoader
from goodreads.items import QuoteItem # used to filter the data
class GoodReadsSpider(scrapy.Spider):
#identity
name = 'goodreads'
#request
def start_requests(self):
url = 'https://www.goodreads.com/quotes?page=1'
yield scrapy.Reque... | Karthiindia90/Goodreads | goodreads/spiders/goodreads.py | goodreads.py | py | 1,593 | python | en | code | 0 | github-code | 36 |
41028938045 | from Functions import Functions_Configs as configFunc
from Functions import Functions_SQL_Interfacing as sqlf
from Functions import Functions_FFlogsAPI as fflogs
import pandas as pd
import csv
import time
import os
import datetime
import mysql.connector
import _01_Extract_Data as extract
import _02_Map_Statics as mapst... | ystol/FFlogs-Analysis | _04_Get_static_performance.py | _04_Get_static_performance.py | py | 4,951 | python | en | code | 0 | github-code | 36 |
29029006849 | """
Definition of forms.
"""
from django import forms
from django.contrib.auth.forms import AuthenticationForm
from django.utils.translation import ugettext_lazy as _
from django.db import models # ะะฐะฑะฐ 9
from .models import Comment # ะะฐะฑะฐ 9
from .models import Blog #ะปะฐะฑะฐ 10
from .models import Catalog #New
class Bo... | InovTe4/DjangoWebProject1 | app/forms.py | forms.py | py | 3,202 | python | ru | code | 0 | github-code | 36 |
29264163869 | from time import sleep
from threading import Thread
class Task(Thread):
def __init__(self, id, temp):
Thread.__init__(self)
self.id = id
self.temp = temp
def run(self):
print(f"Start tread {self.id}")
sleep(self.id)
print(f"finish tread {self.id}... | albiserra/TPSIT_python | tread.py | tread.py | py | 704 | python | en | code | 0 | github-code | 36 |
73478576745 | from pprint import pformat
from six import iteritems
class PIResponse(object):
swagger_types = {
'status': 'int',
'headers': 'dict(str, str)',
'content': 'object',
}
attribute_map = {
'status': 'Status',
'headers': 'Headers',
'content': 'Content',
}
def __init__(self, status=None, headers=None, cont... | dcbark01/PI-Web-API-Client-Python | osisoft/pidevclub/piwebapi/models/pi_response.py | pi_response.py | py | 1,762 | python | en | code | 39 | github-code | 36 |
29101217047 | row1 = row3 = row5 = row7 = "+---+---+---+"
row21 = row22 = row23 = row41 = row42 = row43 = row61 = row62 = row63 = " "
turn = 1
endgame = 0
#alternates between X and O
def symbol():
if turn % 2 == 0:
return "O"
else:
return "X"
#prints the board at the start of the game
print(row1)... | maxyvisser/Python-projects | Tic Tac Toe.py | Tic Tac Toe.py | py | 3,962 | python | en | code | 0 | github-code | 36 |
12217757601 | import zmq
import os
import time
#Send Receve Server
process = str(os.getpid())
print ('PID: ' + process)
try:
ctx = zmq.Context.instance()
#socket = ctx.socket(zmq.REP)
socket = ctx.socket(zmq.DEALER)
socket.bind('tcp://127.0.0.1:4000')
print('Server listening on : 127.0.0.1:3000\n...')
except ... | mcesarpl/pyZMQ-Monitor-Master-Client | SR_server.py | SR_server.py | py | 681 | python | en | code | 0 | github-code | 36 |
37380582441 | # File name: floatlayout.py
from kivy.lang import Builder
from kivy.app import App
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.togglebutton import ToggleButton
from kivy.clock import Clock
from kivy.utils import platform
class FloatLayoutWidget(FloatLayout):
def __init__(self, *args, **kwargs):
sup... | Conner-JD/ISAT-280 | lab5/mfield/myfield/main.py | main.py | py | 1,503 | python | en | code | 0 | github-code | 36 |
72193969063 | #!/usr/bin/env python
# coding: utf-8
# In[7]:
import os
import csv
import json
f2 = open('allproducts.csv', 'w')
f2.write("prod_id,prod_sku,prod_cat,prod_name\n")
f2.close()
f2 = open('allproducts.csv', 'a')
writer = csv.writer(f2, delimiter=',', lineterminator='\n')
for root, dirs, files in os.walk('output'):
... | chennavc/threding | combine.py | combine.py | py | 942 | python | en | code | 0 | github-code | 36 |
6791686071 | from django.core.exceptions import ObjectDoesNotExist
from rest_framework import serializers
from exo_mentions.api.serializers import SearchMentionResultsSerializer
from circles.models import Circle
class SearchMentionSerializer(serializers.Serializer):
search = serializers.CharField(required=False, allow_blan... | tomasgarzon/exo-services | service-exo-core/mentions/api/serializers.py | serializers.py | py | 1,062 | python | en | code | 0 | github-code | 36 |
20895643740 | from . import create_app
from .model import Option, Meal, TIME_FORMAT, list_of
import json
from datetime import datetime
from typing import List
from flask import request
from flask_restful import (
Api,
Resource,
fields,
marshal_with,
marshal_with_field,
)
app = create_app()
api = Api(app)
mea... | genzj/flask-restful-api-course | s03-output-fields/meal_options/meal_options/app.py | app.py | py | 1,605 | python | en | code | 1 | github-code | 36 |
35053401637 | class Endpoint:
def __init__(self, d_latency):
self.d_latency = d_latency
self.caches = {}
self.video_requests = {}
self.new_set = set(self.video_requests.values())
class Cache:
def __init__(self, size):
self.size = size
self.videos = []
| onshimiye/hashcode | endpoint.py | endpoint.py | py | 296 | python | en | code | 0 | github-code | 36 |
70188064425 | import re
import requests
url = "https://search.51job.com/list/020000,000000,0000,00,9,99,python,2,{}.html?lang=c&stype=&postchannel=0000&workyear=99&cotype=99°reefrom=99&jobterm=99&companysize=99&providesalary=99&lonlat=0%2C0&radius=-1&ord_field=0&confirmdate=9&fromType=&dibiaoid=0&address=&line=&specialarea=00&fr... | M0025/PythonSpider | codes/crawlers/51job-demo-2.py | 51job-demo-2.py | py | 1,620 | python | en | code | 0 | github-code | 36 |
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