seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | 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 ⌀ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
47206175294 | # -*- coding: utf-8 -*-
class Record(object):
def __init__(self,artist,aside,bside,year,genre):
self.artist = artist
self.aside = aside
self.bside = bside
self.year = year
self.genre = genre
a_1 = Record("MC5","Kick Out The Jams","Motor City Is Burning",1969,"Rock")
a_2 = Re... | rubinoAM/JukeboxPy | record.py | record.py | py | 6,468 | python | en | code | 0 | github-code | 13 |
24367938105 | # Ejercicio02
def every_other(array):
# Cuando encuentre un número par dentro del array
# mostraŕa las sumas con los demás números del mismo
for index, num in enumerate(array): #O(n)
if index % 2 == 0:
for ob in array: #O(n)
print(str(num) + " + " + str(ob))
# Compl... | julio-1610/LaboratorioADA-GC | Laboratorio04/every_other.py | every_other.py | py | 370 | python | es | code | 0 | github-code | 13 |
6434022729 | # pylint: disable=R0903
"""
'E1102': ('%s is not callable',
'Used when an object being called has been infered to a non \
callable object'),
"""
__revision__ = None
__revision__()
def correct():
"""callable object"""
return 1
__revision__ = correct()
class Correct(object):
... | raymondbutcher/perfectpython | pylib/pylint/test/input/func_typecheck_non_callable_call.py | func_typecheck_non_callable_call.py | py | 671 | python | en | code | 11 | github-code | 13 |
7407915901 | import os
import json
import pandas as pd
from barbell2_castor.api import CastorApiClient
""" -------------------------------------------------------------------------------------------
"""
class CastorToDict:
COLUMNS_TO_SKIP = [
'Participant Id',
'Participant Status',
'Site Abbrevia... | rbrecheisen/barbell2_castor | barbell2_castor/castor2df.py | castor2df.py | py | 6,438 | python | en | code | 0 | github-code | 13 |
34445068158 | from __future__ import print_function
from dronekit import VehicleMode, mavutil, LocationGlobal, LocationGlobalRelative
from pymavlink import mavutil # Needed for command message definitions
import time
import math
def arm_and_takeoff(aTargetAltitude, vehicle):
"""
Arms vehicle and fly to aTargetAltitude.
... | Johnnysboys/Dilbert | flight.py | flight.py | py | 6,217 | python | en | code | 0 | github-code | 13 |
15023015194 | import sys
import os.path
import subprocess
from collections import defaultdict
import traceback
import json
from PyQt5.QtCore import (
QObject,
QThread,
QTimer,
QPoint,
QRect,
QSize,
Qt,
pyqtSignal,
)
from PyQt5.QtGui import (
QIcon,
QPixmap,
)
import patricia
import polytaxis_... | rendaw/ptadventure | polytaxis_adventure/main.py | main.py | py | 24,735 | python | en | code | 0 | github-code | 13 |
31114568479 | """changed users role_id
Revision ID: 443b821478c1
Revises: 25a3ee0f9951
Create Date: 2022-04-11 02:19:53.722244
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '443b821478c1'
down_revision = '25a3ee0f9951'
branch_labels = None
depends_on = None
def upgrade()... | vishIGOR/MyCodeHedgehog | project/migrations/versions/443b821478c1_changed_users_role_id.py | 443b821478c1_changed_users_role_id.py | py | 1,185 | python | en | code | 0 | github-code | 13 |
20843373574 | from __future__ import with_statement, print_function, absolute_import
from itertools import *
from functools import *
import numpy
import pandas
from stitch.core.stitch_parser import StitchParser
from stitch.core.utils import *
# ------------------------------------------------------------------------------
'''
.. mo... | theNewFlesh/stitch | python/stitch/core/stitch_interpreter.py | stitch_interpreter.py | py | 2,783 | python | en | code | 2 | github-code | 13 |
8310443184 | import numpy as np
import scipy.optimize
import time
import matplotlib.pyplot as plt
import pandas as pd
import math
def log_reg(theta,x,y):
"""
Arguments:
theta - A vector containing the parameter values to optimize.
X - The examples stored in a matrix.
X(i,j) is the i'th coordinate of th... | Tandon-A/ufldl-python-solutions | Logitsic_Regression.py | Logitsic_Regression.py | py | 4,119 | python | en | code | 2 | github-code | 13 |
37933960492 | import random
import math
def buyTickets(masterList, lottoNums, tixs):
bought = []
for j in range(0, 5):
bought.append(random.randint(0, lottoRange))
bought.sort()
bought.append(random.randint(0, powerRange))
if bought == lottoNums:
print("Winning ticket numbers: " + str(bought))
... | RiskyClick/40Challenges | PowerballSimulation.py | PowerballSimulation.py | py | 1,956 | python | en | code | 0 | github-code | 13 |
70662519059 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from settings import settings
class PlotService:
def __init__(self, df: pd.DataFrame):
self.df = df
def confusion_matrix(self, confusion_matrix: list[list[int]], categories: np.array, showfliers = True, filen... | lvvittor/ml | tps/tp1/app/services/plot_service.py | plot_service.py | py | 2,195 | python | en | code | 0 | github-code | 13 |
38340516426 | from PyQt5.QtGui import QPainter, QPixmap, QColor
from PyQt5.QtCore import QCoreApplication, QEventLoop
from math import isclose
from geometry import Point, Segment, Vector
from errors import callInfo, callError
EPS = 1e-6
class Cutter:
def __init__(self, scene, painter, img, color):
self.scene = scene... | MyMiDiII/bmstu-cg | lab_08/cut.py | cut.py | py | 2,571 | python | en | code | 0 | github-code | 13 |
36168109999 | from chembl_webresource_client.new_client import new_client
import pandas as pd
import math
from rdkit.Chem import PandasTools
def BioactivityIC50(CHEMBLID):
bioact = bioactivities.filter(target_chembl_id = CHEMBLID) \
.filter(type = 'IC50') \
.only('activity_id', 'assay_d... | Pawansit/LigandAnalysis | Chembl-Target-Info.py | Chembl-Target-Info.py | py | 1,901 | python | en | code | 1 | github-code | 13 |
27449572416 | import aiofiles
__all__ = ['srun','read_text']
def srun(async_func, *args,extra_context_var: dict={} ,show_progress=False, **kwargs):
"""
Run asyncio function in synchronous way
Input:
func (function): function to run
*args: arguments to pass to function
extra_context_var (dict): ... | bigmb/mb_pandas | mb_pandas/src/aio.py | aio.py | py | 1,612 | python | en | code | 0 | github-code | 13 |
37261514299 | import os
import sys
import psycopg2
from aiogram import types
from PIL import Image, ImageFont, ImageDraw, ImageFilter, ImageOps
from bot.dispatcher import bot
def get_main_menu():
keyboard = types.ReplyKeyboardMarkup(resize_keyboard=True)
buttons = ["Моя карта", "Другой игрок"]
keyboard.add(*buttons)
... | hiimluck3r/BonchMafia | bot/controllers.py | controllers.py | py | 9,831 | python | en | code | 0 | github-code | 13 |
38711443021 | class People:
def __init__(self,name,age):
self.name=name
self.age=age
def full_info(self):
full_information=f"Name-{self.name} age -{self.age}"
print(full_information)
name_second=input("Write name")
age_second=int(input("Write age"))
frolova_nata=People(name_second,age... | VigularIgnat/python | mygr/03.10/input_class.py | input_class.py | py | 355 | python | en | code | 0 | github-code | 13 |
30793992926 | # Debugger module by Ky Eltis.
class DebugStream():
"""Houses debug data for one stream/table."""
def __init__(self, header, row1) -> None:
"""Init."""
self.header: list[str] = header
self.rows: list[list[str]] = [row1]
self.lens: list[list[int]] = [[len(str(title)) for title i... | Skylite73/Python-Debugging-Modules | Modules/debugger.py | debugger.py | py | 4,077 | python | en | code | 0 | github-code | 13 |
40997458925 | # # #
# make the aerosol time series plot using xarray. Way shorter and faster. Should re-write it all at some point.
# July 2018
# # #
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import xarray as xr
if __name__ == "__main__":
datafile = xr.open_mfdataset('/home/kimberlee/OsirisData/... | KimDube/Masters-O3-Aerosol-Temp | AltTimeSeries_xarray_version.py | AltTimeSeries_xarray_version.py | py | 2,327 | python | en | code | 0 | github-code | 13 |
30928221425 | import io
import torch
from .hdfs_io import hopen
def load(filepath: str, **kwargs):
""" load model """
if not filepath.startswith("hdfs://"):
return torch.load(filepath, **kwargs)
with hopen(filepath, "rb") as reader:
accessor = io.BytesIO(reader.read())
state_dict = torch.load(a... | zengyan-97/X-VLM | utils/torch_io.py | torch_io.py | py | 636 | python | en | code | 411 | github-code | 13 |
19093079343 | # coding=utf-8
"""Decorators for ``cmd2`` commands"""
import argparse
import types
from typing import TYPE_CHECKING, Any, Callable, Dict, Iterable, List, Optional, Tuple, Union
from . import constants
from .exceptions import Cmd2ArgparseError
from .parsing import Statement
if TYPE_CHECKING: # pragma: no cover
im... | etherkit/OpenBeacon2 | macos/venv/lib/python3.8/site-packages/cmd2/decorators.py | decorators.py | py | 17,978 | python | en | code | 13 | github-code | 13 |
13726381394 | import numpy as np
import pickle
import pandas as pd
from ruffus import *
from tqdm import tqdm
from rdkit import Chem
import pickle
import os
from glob import glob
import time
import util
import nets
import relnets
from rdkit.Chem import AllChem
from rdkit.Chem.Draw import IPythonConsole
from rdkit.Chem import rd... | stefhk3/nmrfilter | respredict/create_datasets_many_nuc.py | create_datasets_many_nuc.py | py | 7,919 | python | en | code | 1 | github-code | 13 |
14137405318 | from .loghandler import logger
from .lxdClient import lxd
from .lxdClient import lxdException
from . import overlay
# dispatch based on cli args
def dispatch(cmd, args):
# launch a new container
if cmd == "launch":
# get container name
if args:
containerName = args[0]
else... | Jayfrown/pycor | pycor/dispatcher.py | dispatcher.py | py | 1,986 | python | en | code | 3 | github-code | 13 |
9376065077 | from pathlib import Path
import streamlit as st
from PIL import Image
#Ajustes de rutas
this_dir = Path(__file__).parent if "__file__" in locals() else Path.cwd()
assets_dir = this_dir / "assets"
styles_dir = this_dir / "styles"
css_file = styles_dir / "main.css"
#Ajustes generales. Editar con los datos de tu produc... | valantoni/pagina-web-venta-pd | app.py | app.py | py | 3,949 | python | es | code | 0 | github-code | 13 |
39724701567 | #!/usr/bin/env python3
a, b = input().split('+')
_rdecode = dict(zip('MDCLXVI', (1000, 500, 100, 50, 10, 5, 1)))
def decode_roman(roman):
result = 0
for r, r1 in zip(roman, roman[1:]):
rd, rd1 = _rdecode[r], _rdecode[r1]
result += -rd if rd < rd1 else rd
return result + _rdecode[roman[-... | esix/competitive-programming | e-olymp/0xxx/0007/main.py | main.py | py | 653 | python | en | code | 15 | github-code | 13 |
42591082173 | import sys
from Block import Block
from Physics import Physics
class Player(Block):
player_width = 16
player_height = 32
color = (97, 169, 188)
velocity_x = float(0)
velocity_y = float(0)
gravity_x = float(0)
gravity_y = float(30)
acceleration_x = float(100)
acceleration_y = float... | Axdecces/Bounce | Player.py | Player.py | py | 3,844 | python | en | code | 0 | github-code | 13 |
27169930776 | from benchopt import BaseSolver
from benchopt import safe_import_context
from benchopt.utils.stream_redirection import SuppressStd
with safe_import_context() as import_ctx:
import numpy as np
from scipy.optimize import fmin_l_bfgs_b
class Solver(BaseSolver):
name = "scipy L-BFGS"
install_cmd = "cond... | agramfort/benchmark_ridge_positive | solvers/lbfgs_scipy.py | lbfgs_scipy.py | py | 1,092 | python | en | code | 0 | github-code | 13 |
15172121998 | # coding=utf-8
import os
from gensim import corpora
from sklearn.externals import joblib
from scipy.sparse import csr_matrix
from setup import *
import re
import json
from src.score import *
def init():
cate_ids = init_setup(config_cat_id)
return cate_ids
def cleanhtml(raw_html):
"""
Clear tag <.*?> ... | loilethanh/news_trending | src/category_classify.py | category_classify.py | py | 2,266 | python | en | code | 0 | github-code | 13 |
30477232073 | N = int(input())
S = input()
a = 0
b = N - 1
ans = ""
while a <= b:
left = False
for i in range(b - a + 1):
if S[a + i] < S[b - i]:
left = True
break
elif S[a + i] > S[b - i]:
left = False
break
if left:
ans += S[a]
a += 1
else:
ans += S[b]
b -= 1
print(ans) | ShimizuKo/study | 蟻本/2章/p45.py | p45.py | py | 319 | python | en | code | 1 | github-code | 13 |
27074968495 | import requests
import os
import time
import re
import json
from openpyxl import Workbook
from openpyxl import load_workbook
from selenium import webdriver
from selenium.webdriver import ChromeOptions
from time import sleep
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from... | carryyangorz/pythonprojects | plantnet.py | plantnet.py | py | 12,996 | python | en | code | 0 | github-code | 13 |
549007509 | # coding: utf-8
__author__ = "wolf"
"""
文件发送端
"""
import socket
import os
import sys
import struct
import re
def socket_client():
try:
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
while 1:
IP = input("请求建立socket通道ip地址为：")
if check_Ip(IP):
break
... | nhz94259/transport_socket | send.py | send.py | py | 2,028 | python | en | code | 0 | github-code | 13 |
3791633151 | from flask import Flask, render_template, request, url_for, flash, redirect
from init_db import init_db
import sqlite3
from werkzeug.exceptions import abort
app = Flask(__name__)
app.config['SECRET_KEY'] = 'bravaproject'
init_db()
# establish database connection, returns rows as python dicts
def get_db_connection()... | sakuray10/BravaProject | app.py | app.py | py | 1,796 | python | en | code | 0 | github-code | 13 |
41489427539 | import math, torch
import torch.nn as nn
import torch.nn.functional as F
# RoI-wise attention vector generating network
class RAVNet(nn.Module):
def __init__(self, num_classes, d_k=64):
super(RAVNet, self).__init__()
# list of number of instances(RoI predictions) in each image
# len(num_i... | rach-rgb/RoI-wise-Attention-Vector | AttentionVector/src/components/rav_net.py | rav_net.py | py | 2,172 | python | en | code | 0 | github-code | 13 |
26148839048 | """Classifier tests."""
from sklearn.naive_bayes import GaussianNB
import strlearn as sl
def get_stream():
return sl.streams.StreamGenerator(n_chunks=10)
def test_ACS_Prequential():
"Bare ACS for Prequential"
stream = get_stream()
clf = sl.classifiers.ASC(base_clf=GaussianNB())
evaluator = sl.... | w4k2/stream-learn | strlearn/tests/test_classifiers.py | test_classifiers.py | py | 1,137 | python | en | code | 58 | github-code | 13 |
9051914597 | import discord
class SelectMenu(discord.ui.Select):
def __init__(self,command_name:str,args:list,placeholder:str=""):
options=[]
for item in args:
options.append(discord.SelectOption(label=item, value=f"{command_name}:{item}", description=""))
super().__init__(placeholder=placeh... | sai11121209/Discord-EFT-V2-Bot | src/cogs/select_menu.py | select_menu.py | py | 767 | python | en | code | 0 | github-code | 13 |
37432022725 | from django.shortcuts import render
from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient
from django.http import HttpResponseRedirect,HttpResponse,FileResponse
import os,uuid
blob_lists = []
conn_string = os.environ["AZURE_STORAGE_CONNECTION_STRING"]
blob_service_client = BlobServiceClient.fro... | RekhaBalamurugan/Upload-Download-Files-Django | upload_download/views.py | views.py | py | 1,390 | python | en | code | 0 | github-code | 13 |
11997795563 |
'''
Functions for case 9 simulations
Author: Telma Afonso
'''
from phenomenaly.simulation import fba, fva, pfba, lmoma
from phenomenaly.variables import Media
from types import *
import pickle
import string
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import linregress
from... | TelmaAfonso/DeYeast | case_9.py | case_9.py | py | 9,995 | python | en | code | 0 | github-code | 13 |
33466459696 |
from keras.engine import Input
from keras.engine import Model
from keras.layers import Convolution2D, MaxPooling2D, Deconvolution2D, Dropout, Activation, Reshape
from keras.layers import merge
class Fcn_8(object):
'''
exsample:
model = Fcn_8(batch_size=batch_size, input_shape=(block_size,block_size), n_... | gawain93/handsegment_fcn | model.py | model.py | py | 6,403 | python | en | code | 0 | github-code | 13 |
14115853149 | #!/usr/bin/env python
import rospy
from std_msgs.msg import Int32
name = "sender"
pub_topic = "my_topic"
rospy.init_node(name)
pub = rospy.Publisher(pub_topic, Int32, queue_size=1)
rate = rospy.Rate(1000)
count = 1
while(pub.get_num_connections() ==0):
count = 1
while not rospy.is_shutdown():
pub.publish(co... | JaeHongChoe/ROS_study | src/msg_send/src/sender_overflow.py | sender_overflow.py | py | 354 | python | en | code | 1 | github-code | 13 |
7517129902 | import scipy as sp
from simulated_tools import get_simulated_im, WINDOW_WIDTH
from caffe_tools import fill_database
"""IDs of file to be used to build the training set"""
TRAINING_IDS = ['exp_low ({0})'.format(i) for i in range(1, 25)]
"""The mapping from types of pixels to classifier labels"""
LABEL_ENUM = {'inside... | andyljones/NeuralNetworkMicroarraySegmentation | simulated_training.py | simulated_training.py | py | 6,144 | python | en | code | 5 | github-code | 13 |
35794302213 | from dolfin import Vector
import numpy as np
class TimeDependentVector:
"""
A class to store time dependent vectors.
Snapshots are stored/retrieved by specifying
the time of the snapshot.
Times at which the snapshot are taken must be
specified in the constructor.
"""
def __ini... | kamccormack/EQporoelasticity | local_lib/hippylib/timeDependentVector.py | timeDependentVector.py | py | 3,153 | python | en | code | 6 | github-code | 13 |
71838069779 | from ella.utils.settings import Settings
ACTIVITY_NOT_YET_ACTIVE = 0
ACTIVITY_ACTIVE = 1
ACTIVITY_CLOSED = 2
IP_VOTE_TRESHOLD = 10 * 60
POLL_COOKIE_NAME = 'polls_voted'
POLL_JUST_VOTED_COOKIE_NAME = 'polls_just_voted_voted'
POLL_NO_CHOICE_COOKIE_NAME = 'polls_no_choice'
POLL_MAX_COOKIE_LENGTH = 20
POLL_MAX_COOKIE_AG... | ella/ella-polls | ella_polls/conf.py | conf.py | py | 683 | python | en | code | 3 | github-code | 13 |
247542092 | from .settings import *
DEBUG = False
ALLOWED_HOSTS = ['1ww.me', 'www.1ww.me', 'api.1ww.me', ]
# ALLOWED_HOSTS = ['*', ]
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.mysql',
'NAME': 'haumea',
'USER': 'haumea',
'PASSWORD': 'haumea123',
# 'HOST': '/tmp/mysql.soc... | edison7500/haumea | haumea/settings/production.py | production.py | py | 767 | python | en | code | 0 | github-code | 13 |
6616278304 | import numpy as np
import cvxpy as cp
import json
POS = {
"W" : 0,
"N" : 1,
"E" : 2,
"S" : 3,
"C" : 4
}
MAT = {
"0" : 0,
"1" : 1,
"2" : 2
}
ARW = {
"0" : 0,
"1" : 1,
"2" : 2,
"3" : 3
}
MM = {
"D" : 0,
"R" : 1
}
HEL = {
"0" : 0,
"25" : 1,
"... | Aa-Aanegola/ML-Assignments | Assignment_2/Part3/linear_programming.py | linear_programming.py | py | 8,394 | python | en | code | 0 | github-code | 13 |
38999127760 | import datetime
from timeit import default_timer as timer
from random import shuffle
# Задание 1
# версия с timestamp
class Benchmark1:
def __init__(self, function, *arguments):
self.code_start_timestamp = datetime.datetime.now()
self.function = function
self.arguments = arguments
def __enter__(self):
self.f... | ArteDuzz/python_lessons | home_work_2_5.py | home_work_2_5.py | py | 4,688 | python | en | code | 0 | github-code | 13 |
22563427011 | from GenObj import *
class Atacker(GenObj):
"""Basic enemy class"""
# speed = [0, 0]
# __Alive = True
def __init__(self, name, hp, img, rect, boundries):
GenObj.__init__(self, name, hp, img, rect, boundries)
self.__HP = hp
# self.__Alive = True
self.setAlive()
s... | mgx259/PyGameTest1 | Atacker.py | Atacker.py | py | 1,039 | python | en | code | 0 | github-code | 13 |
30845767352 |
#getting input s is for plain text mam and k is for key ,number of rows in grid
s=input("Enter string:")
k=int(input("Enter key:"))
#To create grid i use a blank list.NumPy arrays can be use here,
# To initialize the list, first fill the list with ‘ ‘(single space)
enc=[[" " for i in range(len(s))] for j in range(k)]... | Rakibul66/Cryptography-Lab | Cryptography Lab/Rail felce.py | Rail felce.py | py | 1,234 | python | en | code | 0 | github-code | 13 |
70931156818 | import pytest
from tokamak.radix_tree import utils
def test_dyn_parse_node_init():
with pytest.raises(ValueError):
utils.DynamicParseNode("raw", "09ab")
with pytest.raises(ValueError):
utils.DynamicParseNode("raw", "")
dyn = utils.DynamicParseNode("raw", "ab01", regex="[0-9]+")
assert... | erewok/tokamak | tests/radix_tree/test_utils.py | test_utils.py | py | 4,033 | python | en | code | 8 | github-code | 13 |
72014401299 | from core.models import TimeStampModel
from django.db import models
class TrainTrack(TimeStampModel):
source = models.CharField(max_length=255, help_text="the source name of the track")
destination = models.CharField(
max_length=255, help_text="the destination name of the track"
)
is_busy = mo... | viprathore/Python | mail_service/service/shipping_parcel/models.py | models.py | py | 3,054 | python | en | code | 0 | github-code | 13 |
21862133170 | '''
Adapted from the video in the Functions secitons of Runestone's FOPP
Changes from house_1.py:
implemented draw_triangle()
implemented draw_rectangle()
'''
import turtle
skippy = turtle.Turtle()
win = turtle.Screen()
skippy.shape("turtle")
house_llx = 0
house_lly = 0
house_size = 200
eve_size = 10
window... | NormandaleWells/CS111Demos | functions/house_2.py | house_2.py | py | 1,660 | python | en | code | 1 | github-code | 13 |
20624458875 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.cuda.amp as amp
'''
proposed in the BMVC2019 paper: [Large Margin in Softmax Cross-Entropy Loss
link to paper](https://staff.aist.go.jp/takumi.kobayashi/publication/2019/BMVC2019.pdf)
'''
##
# version 1: use torch.autograd
class LargeMar... | CoinCheung/pytorch-loss | large_margin_softmax.py | large_margin_softmax.py | py | 9,752 | python | en | code | 2,048 | github-code | 13 |
31200586528 | import datetime
import mock
import six
from st2common.transport.publishers import PoolPublisher
from st2common.persistence.reactor import TriggerInstance
from st2common.models.db.reactor import TriggerInstanceDB
from tests import FunctionalTest
http_client = six.moves.http_client
@mock.patch.object(PoolPublisher, '... | gtmanfred/st2 | st2api/tests/unit/controllers/v1/test_triggerinstances.py | test_triggerinstances.py | py | 5,055 | python | en | code | null | github-code | 13 |
10839976616 | from flask import Flask
from flask import render_template
from flask import request
import webbrowser,json,os
def webrun():
app = Flask(__name__)
@app.route('/index',methods=['GET','POST'])
def index():
if request.method == 'POST':
filename = request.form['filename']
data1 =... | dan890407/OCR_finalproject | OCR/house_web/house_web.py | house_web.py | py | 639 | python | en | code | 0 | github-code | 13 |
161088098 | # -*- coding: utf-8 -*-
from selenium import webdriver
import time
from bs4 import BeautifulSoup
import urllib.request
def parser():
req=urllib.request.Request('https://www.nccst.nat.gov.tw/Vulnerability')
response = urllib.request.urlopen(req)
the_page = response.read()
soup = BeautifulSoup(... | owen51251/linux-tcpreverse | parser_nccst.py | parser_nccst.py | py | 742 | python | en | code | 0 | github-code | 13 |
21949248818 | # encoding:utf-8
from kdmer import *
from collections import defaultdict
import sys
class GrafoDeBruijn:
def __init__(self, kdmers, k, d, rosalind=False):
self.kdmers = kdmers
self.k = int(k)
self.d = int(d)
self.rosalind = rosalind
self.construirGrafo()
def construirGrafo(self):
# C... | marcoscastro/bruijn_graph | src/assembler.py | assembler.py | py | 12,056 | python | pt | code | 3 | github-code | 13 |
33527990756 | # -*- coding = utf-8 -*-
# @Time : 5/5/2023 7:49 PM
# @Author : zyxiao
# @File : 计算均值和方差.py
# @Software : {PyCharm}
import torch
from torchvision.datasets import ImageFolder
# def getStat(train_data):
# '''
# Compute mean and variance for training data
# :param train_data: 自定义类Dataset(或ImageFo... | xzyxiaohaha/PythonUtil | pythonUtil/数据集操作工具类/计算均值和方差.py | 计算均值和方差.py | py | 2,215 | python | en | code | 0 | github-code | 13 |
33501959431 | from Generator import DataGenerator
from Model import BuildModel
import json
import pickle
if __name__ == "__main__":
with open("processedData/meta.json") as fl:
meta = json.load(fl)
# parameter to test model
test = True
train_ids = range(1, 100)
val_ids = range(100, 140)
batch_size... | ParthTandel/Bidaf | Main.py | Main.py | py | 1,448 | python | en | code | 0 | github-code | 13 |
25810773494 | #! /usr/bin/env python3
'''
Truck package
Note: truck csv file is checked with module load.
'''
import os
import math
import pandas as pd
import config as cfg
trucks_file = os.path.join(cfg.data_dir, cfg.trucks_csv)
if not os.path.isfile(trucks_file): raise FileNotFoundError
class Truck:
def __init__(self) -> ... | nandoabreu/geo-coordinate-calc-and-pandas | truck/__init__.py | __init__.py | py | 2,464 | python | en | code | 0 | github-code | 13 |
32471450025 | from django.conf.urls import patterns, include, url
from django.conf.urls.static import static
from django.contrib import admin
from common.views import CommentList, FavoriteList, FavoriteDelete, Search
from server import settings
urlpatterns = patterns('',
url(r'^$', 'common.views.index', nam... | wpstan/Nourriture | source/server/server/urls.py | urls.py | py | 1,854 | python | en | code | 0 | github-code | 13 |
5471398164 | # -*- coding: utf-8 -*-
import pyupbit
def get_coin(coin):
if coin == None:
pass
# tickers = pyupbit.get_tickers()
# return tickers
elif coin != None:
coin = coin.replace(" ","")
ticker = coin.replace("코인","")
price = format(pyupbit.get_current_price(ticker), ',... | redplug/slackbot | get_coin.py | get_coin.py | py | 1,026 | python | en | code | 0 | github-code | 13 |
20644297624 | from django import forms
from .models import Tracker, Finance, Task, TaskStatus
class TrackerForm(forms.ModelForm):
class Meta:
model = Tracker
fields = ['init_name', 'supplier', 'type', 'scope', 'comments', 'theo', 'start_date', 'end_date', 'business_owner', 'division', 'proc_owner', 'category', ... | eric-oaktree/spat | tracker/forms.py | forms.py | py | 1,847 | python | en | code | 1 | github-code | 13 |
40807770887 | from sklearn import datasets
from sklearn.model_selection import train_test_split
from scipy.spatial import distance
from sklearn.metrics import accuracy_score
def euc(a, b): # gives distance between two points
return distance.euclidean(a,b)
class MyClassifier:
def fit(self, x_train, y_train):
self... | surazad99/Machine-Learning | MyOwnClassifier.py | MyOwnClassifier.py | py | 1,295 | python | en | code | 1 | github-code | 13 |
27685531249 | import moderngl
import numpy as np
from typing import Tuple
Color = Tuple[float, float, float, float]
Point2 = Tuple[float, float]
_SIGNAL_VERTEX_SHADER = '''
#version 330
uniform int Start;
uniform float XScale;
uniform mat4 MainRect;
in int in_vert;
void main() {
float x = 2. * (S... | monkeyman79/mutt | mutt/ui/shaders.py | shaders.py | py | 9,906 | python | en | code | 0 | github-code | 13 |
39419187505 | from requests import Session
import json
import psycopg2
import websocket, json
from requests import Session
import psycopg2
from symbol import simil,coins
class Crypto:
def CoinCaP(self,simil):
def getInfo (): # Function to get the info
url = 'https://pro-api... | D0723/forecaster-backend | pipeline.py | pipeline.py | py | 8,269 | python | en | code | 0 | github-code | 13 |
32085588458 | #!/usr/bin/python3
# This program makes the plot for L2 error of two series of data
# Author : Bruno Blais
#Python imports
import os
import sys
import numpy
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.ticker import LogLocator, FormatStrFormatter
import pylab
from scipy import stats
from matplot... | lethe-cfd/lethe-utils | python/mms/compareSolutionTime.py | compareSolutionTime.py | py | 1,918 | python | en | code | 5 | github-code | 13 |
40322269014 | from django.shortcuts import render
from rest_framework.generics import GenericAPIView,CreateAPIView,RetrieveAPIView,UpdateAPIView
from rest_framework.views import APIView
from users.serializers import CreateUserSerializer,UserDetailSerializer,EmailSerializer,UserAddressSerializer,AddressTitleSerializer,UserBrowserHist... | frankky-cyber/meiduo2 | meiduo_mail/meiduo_mail/apps/users/views.py | views.py | py | 7,122 | python | en | code | 0 | github-code | 13 |
7404235796 | #!/usr/bin/python3
""" 6. POST an email #1 """
import requests
import sys
if __name__ == '__main__':
url = sys.argv[1]
email = sys.argv[2]
data = {'email': email}
response = requests.post(url, data=data)
print(response.text)
| AmrShoukry/alx-higher_level_programming | 0x11-python-network_1/6-post_email.py | 6-post_email.py | py | 249 | python | en | code | 0 | github-code | 13 |
34615264355 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('OrderPlacer', '0007_auto_20141204_2107'),
]
operations = [
migrations.RenameField(
model_name='medicalservice',
... | 9929105/lini | src/OrderPlacer/migrations/backup/0008_auto_20141210_0544.py | 0008_auto_20141210_0544.py | py | 406 | python | en | code | 0 | github-code | 13 |
19902330877 | from matplotlib import pyplot as plt
import numpy as np
from scipy.integrate import odeint
class Parameters():
def __init__(self):
# system parameters
self.m = 1
self.c = 1
self.k = 1
# control gains
self.kp = 0.1
self.kd = -self.c + 2 * np.sqrt((self.k +... | kimsooyoung/robotics_python | lec12_feedback_linearization/1_simple_control_partitioning/smd_main.py | smd_main.py | py | 1,124 | python | en | code | 18 | github-code | 13 |
18314472395 | from paterdal import Paterdal
def test_instance_is_correct():
"""
Verifies that a Paterdal instance initializes correctly
:return:
"""
class ExpectedData:
def __init__(self):
self.col_offset = 10
self.row_offset = 10
self.h_tile_size = 80
se... | SeanWH/paterdal | tests/tests_paterdal.py | tests_paterdal.py | py | 1,977 | python | en | code | 0 | github-code | 13 |
14505763267 | from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.action_chains import ActionChains
from bs4 import BeautifulSoup
from time import sleep
import random
from project_solo_app.models import Background_Task, Definition, Word
def definition_search(word_id=0... | catalystTGJ/01_project_solo | tasks/webscrape_search.py | webscrape_search.py | py | 2,570 | python | en | code | 0 | github-code | 13 |
4787290913 | import csv
path = r'C:\Users\Helen\Documents\ingest_files\test.csv'
with open(path) as csvfile:
m = list(csv.DictReader(csvfile))
columns = m[0].keys().replace('\t', '')
print(columns)
print(m[:2])
| lenapy/learn_python | coursera/introduction_to_data_science/week_1/data_files_and_summary_statistics.py | data_files_and_summary_statistics.py | py | 203 | python | en | code | 0 | github-code | 13 |
42304737139 | class Person:
name = "人間"
def __init__(self, height, weight):
self.age = 30
self.height = height
self.weight = weight
def walk(self):
print("歩きます")
def eat(self):
print("食べます")
@classmethod
def say_classmethod(cls):
print("classmethod")
@static... | tokitsubaki/labcode | class/class_python.py | class_python.py | py | 1,257 | python | en | code | 0 | github-code | 13 |
19117563824 | def rod(length, price, cost):
value = list()
value.append(0)
m = -1
for i in range(1,length):
m = price[i]
for j in range(1,i-1):
m = max(m,price[i]+value[i-j]-cost)
value[i] = max
return value[length] | natthakan2000/ICCS313 | a4/RodCutting.py | RodCutting.py | py | 257 | python | en | code | 0 | github-code | 13 |
18644820539 |
import array
import paho.mqtt.client as mqtt
array_size = 10
# Create an array to store the ADC data
adc_data = array.array("H", [0] * array_size)
array_pratap = []
# The callback for when the client receives a CONNACK response from the server.
def on_connect(client, userdata, flags, rc):
print("Connected wit... | prataprobotics/2023-coding | PY_CODING/pythonProject/subscribe_adc_filter_random_ma.py | subscribe_adc_filter_random_ma.py | py | 1,388 | python | en | code | 0 | github-code | 13 |
11855131414 | import torch.nn as nn
import torch
from utils import TopPool, BottomPool, LeftPool, RightPool
class convolution(nn.Module):
def __init__(self, k, inp_dim, out_dim, stride=1, with_bn=True):
super(convolution, self).__init__()
pad = (k - 1) // 2
self.conv = nn.Conv2d(inp_dim, out_dim, (k, k... | xinyu-ch/ProgressiveTextDetection | models/pool_direction.py | pool_direction.py | py | 2,546 | python | en | code | 3 | github-code | 13 |
25667347990 | import sys
import numpy as np
from extract_squares_from_image import extract_cube_faces_from_stream, capture_faces, load_imgs_from_dir, capture_faces_from_images
from color_classifier import get_classifier, label_images
from Cube import Cube
from Solver import Solver
from SolutionGallery import SolutionGallery
import m... | pkepley/rubiksolver | src/rubiksolver/end_to_end.py | end_to_end.py | py | 6,935 | python | en | code | 0 | github-code | 13 |
70662527379 | import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from settings import settings
class StepPerceptron():
def __init__(
self, learning_rate: float, inputs: np.array, expected_outputs: np.array
):
"""Constructor method
... | lvvittor/ml | tps/tp3/app/step_perceptron.py | step_perceptron.py | py | 7,495 | python | en | code | 0 | github-code | 13 |
433305424 | from PythonANN import Program
from ProgramParameters import ProgramParameters
def setNewNetwork(layers, nodes, divisbleBy, iterations, learningRate,algoNum):
input = ProgramParameters();
input._init_(layers, nodes, divisbleBy, iterations, learningRate,algoNum);
return Program(input);
userInput = True;
ch... | MagicalPlayGames/Artifical-Neural-Networks | interface.py | interface.py | py | 2,821 | python | en | code | 0 | github-code | 13 |
30013739784 | import numpy as np
def get_data(path):
# both train and test data files have the same format
# so we only need one function to parse the data
# returns a list of tuples, of the form tuple(the_text, the_class_name)
# the list to store our tuples
the_data = []
with open(path) as dataFile:
... | billkouts/Reuters_document_classification | randomClassifier.py | randomClassifier.py | py | 9,995 | python | en | code | 0 | github-code | 13 |
40105255949 | import requests
from bs4 import BeautifulSoup
url="https://www.instagram.com/{}/"
def pic_downloader(username):
full_url=url.format(username)
r=requests.get(full_url)
s=BeautifulSoup(r.text,"lxml")
p=s.find("meta",property="og:image").attrs['content']
with open(username+".jpg","wb") ... | aryan091/WEB-SCRAPING | Instagram Pic Download.py | Instagram Pic Download.py | py | 523 | python | en | code | 0 | github-code | 13 |
38701608385 | """
Contains unit and integration tests for checking the models of the web application.
"""
import logging
import sys
from django.test import TestCase
from questions.models import QuestionCategory
from users.models import MyUser
from ..models import Post
if len(sys.argv) > 1 and sys.argv[1] == 'test':
logging.di... | Lalluviadel/interview_quiz | posts/tests/test_models.py | test_models.py | py | 1,668 | python | en | code | 0 | github-code | 13 |
2960969217 | """Sex terms."""
from spacy import registry
from traiter.actions import text_action
from traiter.patterns.matcher_patterns import MatcherPatterns
from odonata.pylib.const import COMMON_PATTERNS, REPLACE
COLORED = """ colored """.split()
SIMILAR = """ like similar as than exactly """.split()
TRAITS = """color color_m... | rafelafrance/traiter_odonata | odonata/patterns/color_like.py | color_like.py | py | 1,213 | python | en | code | 0 | github-code | 13 |
29749092015 | #!/usr/bin/env python
# coding=utf-8
# author=hades
# @Time : 2018/8/17 9:24
from django.conf.urls import patterns
from django.conf.urls import url
from openstack_dashboard.dashboards.project.access_and_security.keypairs \
import views
from openstack_dashboard.dashboards.project.access_and_security.qos \
i... | leejshades/openstack-dashboard | openstack_dashboard/dashboards/project/access_and_security/qos/urls.py | urls.py | py | 783 | python | en | code | 0 | github-code | 13 |
70416640337 | import warnings
warnings.filterwarnings("ignore")
import os
import sys
import yaml
import logging
import pandas as pd
import multiprocessing as mp
from geckoml.data import *
from geckoml.metrics import save_analysis_plots
from argparse import ArgumentParser
from functools import partial
import tqdm
# Get the GPU
#... | NCAR/gecko-ml | applications/run_gecko_rnn_emulators.py | run_gecko_rnn_emulators.py | py | 10,182 | python | en | code | 1 | github-code | 13 |
31291147964 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Oct 3 10:21:27 2022
@author: dtjgp
"""
#!/usr/bin/python3
import random
from queue import Queue, PriorityQueue
import numpy as np
import matplotlib.pyplot as plt
import scipy.stats
# ******************************************************************... | dtjgp/management-and-content-delievery-for-smart-network | lab1_task1.py | lab1_task1.py | py | 10,332 | python | en | code | 1 | github-code | 13 |
42804444907 |
from pyquil.gates import *
from pyquil.quil import Program
LAYER_XZ_OPTIONS_DEFAULT={
'nlayers': 1,
'dist': 1,
}
def layer_xz(params, qubits_chosen, options=LAYER_XZ_OPTIONS_DEFAULT):
"""
Variational circuit alternating between single-X rotations and constant
distance controlled-Z gates (see Schuld et al. arXi... | zapatacomputing/QClassify | src/qclassify/proc_circ.py | proc_circ.py | py | 2,317 | python | en | code | 26 | github-code | 13 |
70101632979 | import pika
# remote server IP addr
remote_server_addr = 'a.b.c.d'
credentials = pika.PlainCredentials('guest', 'guest')
parameters = pika.ConnectionParameters(remote_server_addr,
5672,
'/',
credentia... | CuteLemon/Learn | RabbitMQ/receiver.py | receiver.py | py | 671 | python | en | code | 0 | github-code | 13 |
7511155226 | #!/usr/bin/env python
# coding: utf-8
# In[2]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
from keras.models import Sequential
from keras.layers import Dense, LSTM,Dropout
import tensorflow ... | Kennedy-Wanjiku/finalyearapp | StockMarket_UI.py | StockMarket_UI.py | py | 15,466 | python | en | code | 0 | github-code | 13 |
42084563138 | import itertools
import sys
from collections import Counter
sys.setrecursionlimit(10 ** 9)
input = sys.stdin.readline
M = 1000000007
N = int(input())
left = list(map(int, input().split()))
counter = Counter(left)
def dp(t, n1, n2, n3):
cached = t.get((n1, n2, n3))
if cached is not None:
return cached... | keijak/comp-pub | atcoder/sumitrust2019/E/main_dp.py | main_dp.py | py | 1,219 | python | en | code | 0 | github-code | 13 |
27736111316 | import tkinter as tk
def convert_temperature():
try:
temperature = float(entry.get())
if var.get() == 1: # Fahrenheit to Celsius
result.set((temperature - 32) * 5/9)
elif var.get() == 2: # Celsius to Fahrenheit
result.set((temperature * 9/5) + 32)
except ValueE... | Swapnil-Singh-99/PythonScriptsHub | Temperature Converter/temperature_converter.py | temperature_converter.py | py | 1,404 | python | en | code | 19 | github-code | 13 |
13340326045 | from matplotlib import pyplot as plt
import statsmodels.api as sm
import seaborn as sns
import pandas as pd
from sklearn.datasets import load_boston
from sklearn.model_selection import train_test_split
from statsmodels.datasets.longley import load_pandas
# pairplot (scatter plot) 확인하기
dfy = load_pandas().endog
dfX = l... | doheelab/backend-study | Statistics/regression/다중공선성과 변수 선택.py | 다중공선성과 변수 선택.py | py | 5,366 | python | ko | code | 0 | github-code | 13 |
41478229173 | from flask import Flask
from flask import jsonify
import json
import requests
#from pymongo import MongoClient
import random
app = Flask(__name__)
smhi_url = 'https://opendata-download-warnings.smhi.se/api/version/2.json'
data ={"events": [{"id": 0, "name": "average wind speed at sea", "severity": "Moderate", "descr... | ThisIsCodeCommunity/disaster_relief_back_end | index.py | index.py | py | 2,434 | python | en | code | 0 | github-code | 13 |
10807516381 | import platform
import sys
import numpy as np
import cv2
from rknn.api import RKNN
import torch
model = 'mnist_cnn.pt'
rknn_model = 'mnist_cnn.rknn'
input_size_list = [[1, 28, 28]]
jpg_data_path = './test.jpg'
npy_data_path = './test.npy'
dataset_path = 'dataset.txt'
def postprocess(input_data):
index = input_da... | rockchip-linux/rknn-toolkit | examples/common_function_demos/single_channel_input/mnist/test.py | test.py | py | 3,673 | python | en | code | 658 | github-code | 13 |
11026482382 | from anduril import constants
from anduril.arrayio import get_array
from fasta import fasta_itr
import anduril.main
def fasta_merge(cf):
"""Merge an array of fastafiles."""
outfh = open(cf.get_output('output'), 'w')
fastafiles = get_array(cf, 'fastafiles')
cf.write_log(str(fastafiles))
for key, fastafile in fast... | mc-assemblage/nembase | components/FASTAMerge/fastamerge.py | fastamerge.py | py | 459 | python | en | code | 0 | github-code | 13 |
16673421757 | def take(count, iterable):
counter = 0
for item in iterable:
if counter == count:
return
counter += 1
yield item
def distinct(iterable):
seen = set()
for item in iterable:
if item in seen:
continue
yield item
seen.add(item)
def ... | nickmcsimpson/python_playground | corepy/generators.py | generators.py | py | 578 | python | en | code | 0 | github-code | 13 |
2123553279 | import logging
import json
from kafka import KafkaConsumer
from kafka import KafkaProducer
from flask import Flask
app = Flask(__name__)
logging.basicConfig(format='%(levelname)s: %(message)s', level=logging.INFO)
logger = logging.getLogger(__name__)
queues = {}
producer = KafkaProducer(bootstrap_servers='localhost... | chrisatnoviflow/open-kilda | docs/design/hub-and-spoke/v7/poc/nb&fl/fl.py | fl.py | py | 1,395 | python | en | code | null | github-code | 13 |
12345036805 | """
Given a string consisting of lowercase letters
count the number of non-increasing and non-decreasing sequences in the input
Sample Input :gfcbdhdd
Output :3(gfcb | dh | dd)
Approach :)
At start we consider the sequence type as none and will define the type of
sequence(whether it’s non-increasing or non-decrea... | souravs17031999/100dayscodingchallenge | strings/count_non_increasing_non_decreasing_sequences.py | count_non_increasing_non_decreasing_sequences.py | py | 2,061 | python | en | code | 43 | github-code | 13 |
17785456993 | import os
import matplotlib.pyplot
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2"
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
from tensorflow.keras.datasets import mnist
import tensorflow_datasets as tfds
(ds_train, ds_test), ds_info = tfds.load(
"mnist",
split=["train"... | iampaigedlamini/TensorFlow | TensorFlow_datasets.py | TensorFlow_datasets.py | py | 1,325 | python | en | code | 0 | github-code | 13 |
32808079501 |
from setuptools import setup
from codecs import open
from os import path
import argparse
from distutils.extension import Extension
import numpy as np
# If building on OSX, may need to do this first:
# export CFLAGS="-I/Users/nielsond/miniconda3/lib/python3.6/site-packages/numpy/core/include $CFLAGS"
DEBUG = False
U... | compmem/MELD | setup.py | setup.py | py | 3,295 | python | en | code | 3 | github-code | 13 |
73126796498 | # -*- coding: utf-8 -*-
from odoo import models, fields, api, _
class account_journal(models.Model):
_inherit = "account.journal"
deferred_check = fields.Boolean('Chèque différé', help="Cocher cette case si c'est un journal pour les chèques différé dans le pos")
check= fields.Boolean('Chèque', help="Cocher ... | hilinares1/MADEMO | tit_pos_paiement/models/account_journal.py | account_journal.py | py | 1,099 | python | fr | code | 0 | github-code | 13 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.