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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
39260413778 | # import system modules
import traceback
import os
import sys
import errno
import subprocess
import time
import signal
import functools
# import I/O modules
import RPi.GPIO as GPIO
import smbus2
import spidev
# import utility modules
import math
import numpy as np
import scipy.constants as const
from dataclasses import... | ExplodingONC/Flash_LiDAR_Microscan | LidarControl.py | LidarControl.py | py | 10,164 | python | en | code | 0 | github-code | 36 |
2820524990 | from django.contrib import admin
from .models import CalendarEvent, CalendarEventAttendee, UserCalendar
class CalendarEventAttendeeInline(admin.TabularInline):
model = CalendarEventAttendee
extra = 0
autocomplete_fields = (
'user',
)
class UserCalendarInline(admin.TabularInline):
model... | rimvydaszilinskas/organize-it | apps/calendars/admin.py | admin.py | py | 584 | python | en | code | 0 | github-code | 36 |
28299895707 | from train import get_model
from torchvision import transforms
from PIL import Image
import matplotlib.pyplot as plt
import torch
import os
from torchvision.models import resnet18, ResNet18_Weights
import torch.nn as nn
import numpy as np
class Make_Test(nn.Module):
def __init__(self, weight_path):
super(... | kienptitit/Dog_Cat_Classification | image_test.py | image_test.py | py | 1,821 | python | en | code | 0 | github-code | 36 |
1243604019 | from math import cos, pi, sin
import pygame as pg
from constants import consts as c
from id_mapping import id_map
from images import img as i
from ui.game_ui import ui
def move_player(keys_pressed):
if keys_pressed[pg.K_UP] or keys_pressed[pg.K_w]:
c.player_y -= c.player_speed * c.dt
if c.player_... | chanrt/py-factory | utils.py | utils.py | py | 5,214 | python | en | code | 11 | github-code | 36 |
33517643066 | from manimlib.imports import *
#Visualización de Gráficas (Va después de Gráficas)
def Range(in_val,end_val,step=1):
return list(np.arange(in_val,end_val+step,step))
### VISUALIZACIÓN DE GRÁFICAS (DIVIDO EN 3 CLASES, PERO ES UN SÓLO VIDEO) ###
#EJEMPLO 1 R -> R#
class Visualización_Gráficas_1(GraphScene,Scen... | animathica/calcanim | Límite y continuidad en funciones multivariable/visualizacion.py | visualizacion.py | py | 28,718 | python | es | code | 19 | github-code | 36 |
36351466606 | from flask import Blueprint, render_template, request
import logging
import functions
loader_blueprint = Blueprint('loader_blueprint', __name__, template_folder="templates")
logging.basicConfig(filename="basic.log")
@loader_blueprint.route("/post")
def post_page():
return render_template("post_form.html")
@load... | PetrGurev/Lesson_121_homework | loader/views.py | views.py | py | 1,229 | python | en | code | 0 | github-code | 36 |
37421002377 | #coding:utf-8
#用户输入摄氏温度
#接收用户输入
celsius = float(input("输入摄氏温度："))
#计算华氏温度
fahrenheit = (celsius*1.8) +32
print("%0.1f 摄氏温度转为华氏温度为%0.1f"%(celsius,fahrenheit))
"""
#coding:utf-8
fahrenheit = float(input("输入华氏温度："))
celsius = (fahrenheit - 32)/1.8
print("%0.1f华氏温度转为摄氏温度为%0.1f" %(fahrenheit,celsius))
... | kanbujiandefengjing/python | python实例/℃to℉.py | ℃to℉.py | py | 437 | python | zh | code | 0 | github-code | 36 |
30740067431 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import random
class Lotery:
""" this class is representing the process"""
def __init__(self):
self.ret__M = 0
self.res__M = 0
self.esp__M = 0
#retorno = step(process executou) - step(process exc = 0)
def work(self, process):
step = 0
inc = 0
ret = 0.0
res... | VictorCampelo/Operating-System-Algorithms | Process Sheduling/lotery.py | lotery.py | py | 1,541 | python | en | code | 0 | github-code | 36 |
13168287871 | import numpy as np
import matplotlib
from matplotlib import pyplot as plt
plt.switch_backend('agg')
import matplotlib.patches
from scipy import stats
import pandas as pd
import math
from mpi4py import MPI
import sys
import itertools
import glob
import os
plt.ioff()
design = str(sys.argv[1])
all_IDs = ['3600687', '70... | antonia-had/rival_framings_demand | output_analysis/shortage_duration_curves.py | shortage_duration_curves.py | py | 5,340 | python | en | code | 0 | github-code | 36 |
34709810555 | import random
from scipy import linalg
import numpy as np
import scipy
class Hill:
def find_multiplicative_inverse(self, determinant, len_alfabeto):
print(f"DETERMINANTE: {determinant}")
for i in range(len_alfabeto):
inverse = determinant * i
if int(round(inverse % len_alfab... | andersoney/andersoney | criptografia/hills/hills.py | hills.py | py | 6,232 | python | pt | code | 0 | github-code | 36 |
40306775358 | import numpy as np
import pandas as pd
from collections import OrderedDict
import matplotlib as mlt
import matplotlib.pyplot as plt
from scipy import optimize
def get_data():
data = OrderedDict(
amount_spent = [50, 10, 20, 5, 65, 70, 80, 81, 1],
send_discount = [0, 1, 1, 1, 0, 0, 0, ... | guruprasaad123/ml_for_life | from_scratch/logistic_regression/Newtons method/optimize.py | optimize.py | py | 2,692 | python | en | code | 4 | github-code | 36 |
1763129188 | """
Implements a mixin for remote communication.
"""
import re
import json
import socket
whitespace_re = re.compile(r"\s+")
class RemoteActor:
ENCODING = "utf-8"
DECODER = json.JSONDecoder()
def __init__(self, socket):
""" Creates a new remote actor able to send and receive from the given s... | lukasberger/evolution-game | evolution/common/remote_actor_2.py | remote_actor_2.py | py | 2,413 | python | en | code | 0 | github-code | 36 |
432875678 | import numpy as np
from torch.utils import data
import torch as t
import matplotlib.pyplot as plt
import h5py
from .utils.utils import mat2gray_nocrop, plot_img_with_labels
import os
import random
import ipdb
from .visualize_predictions import draw_label_img
from scipy.ndimage import gaussian_filter
import monai
def ... | SalamanderXing/dna_foci_detection | dna_foci_detection/data_loaders/foci/dataset.py | dataset.py | py | 4,646 | python | en | code | 0 | github-code | 36 |
25418445648 | #!/usr/bin/env python
from utils.analysis import AbsMovingAvg, Threshold, Derivative
from utils.chaser import Chaser
import os
import sys
parentDir = os.path.dirname(os.getcwd())
sys.path.append(parentDir)
def checkImport(lib):
if not os.path.exists(os.path.join(parentDir, lib)):
print("%s library not fou... | andrewbooker/audiotomidi | scanWavFile.py | scanWavFile.py | py | 1,495 | python | en | code | 1 | github-code | 36 |
28515039147 | # Opus/UrbanSim urban simulation software.
# Copyright (C) 2010-2011 University of California, Berkeley, 2005-2009 University of Washington
# See opus_core/LICENSE
from opus_core.logger import logger
from opus_core.resources import Resources
from opus_core.storage_factory import StorageFactory
from numpy import ... | psrc/urbansim | opus_matsim/archive/tests/generate_test_data.py | generate_test_data.py | py | 3,310 | python | en | code | 4 | github-code | 36 |
20871041067 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import logic
UI_BOARD_SIZE = (8, 6)
UI_BOARD_OFFSET = 0.25
UI_BOARD_CELL_COLORS = [(0,0,0,0.4), (0,0.9,1,0.7)]
'''
UI front-end implementation
'''
class Board:
def __init__(self):
# Create figure and axes
sel... | manu-ho/game_of_life | board.py | board.py | py | 5,007 | python | en | code | 0 | github-code | 36 |
72170355625 | import pandas as pd
import pickle
from pathlib import Path
def preprocess_test_df(test_clin_df, test_prot_df, test_pep_df, save_data=False):
if 'upd23b_clinical_state_on_medication' in test_clin_df.columns:
# drop the medication column
test_clin_df = test_clin_df.drop(columns=['upd23b_clini... | dagartga/Boosted-Models-for-Parkinsons-Prediction | src/data/pred_pipeline.py | pred_pipeline.py | py | 2,509 | python | en | code | 0 | github-code | 36 |
26255667961 | """
Here I will read access tokens from txt file for safety
"""
import json
class Token:
def __init__(self):
with open('tokens.json', 'r') as f:
data = json.loads(f.readline())
self.community = data['comm_token']
self.user = data['usr_token']
self.comm_id = -167621445
... | maxikfu/community | auth.py | auth.py | py | 393 | python | en | code | 0 | github-code | 36 |
86340516810 | from openpyxl import load_workbook
# from openpyxl.cell import Cell
if __name__ == '__main__':
wb = load_workbook('data/FINODAYS_Доп. материал для Почта Банк_Диалоги.xlsx')
for sn in wb.sheetnames:
print(sn)
marks = []
for row in wb[sn]:
if row[1].value == 'CLIENT':
... | eivankin/finodays-2nd-stage | get_user_messages.py | get_user_messages.py | py | 546 | python | en | code | 0 | github-code | 36 |
40689449383 | with open("2021\Day_14\input.txt") as f:
template = f.readline().strip()
elements = {e.split()[0]:e.split()[-1] for e in f.read().splitlines() if e != ""}
# # Example data
# template = "NNCB"
# elements = {
# "CH": "B",
# "HH": "N",
# "CB": "H",
# "NH": "C",
# "HB": "C",
# "HC": "B",
#... | furbank/AdventOf | 2021/Day_14/part1.py | part1.py | py | 823 | python | en | code | 0 | github-code | 36 |
5538635649 | # drawing the Earth on equirectangular projection
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import cartopy.feature as cfeature
import numpy
import matplotlib.ticker as mticker
fig = plt.figure(figsize=(64,32), frameon=False)
ax = fig.add_subplot(1,1,1, projection=ccrs.PlateCarree(central_longitude=18... | shuyo/xr | earth.py | earth.py | py | 1,349 | python | en | code | 0 | github-code | 36 |
31063851875 |
from ..utils import Object
class MessageReplyInfo(Object):
"""
Contains information about replies to a message
Attributes:
ID (:obj:`str`): ``MessageReplyInfo``
Args:
reply_count (:obj:`int`):
Number of times the message was directly or indirectly replied
recent... | iTeam-co/pytglib | pytglib/api/types/message_reply_info.py | message_reply_info.py | py | 2,077 | python | en | code | 20 | github-code | 36 |
31352733665 | # Import all the modules to determine the cofusion matrix
import itertools
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix
import os
# This function calculates the confusion matrix and visualizes it
def plot_confusion_matrix(y_test, y_pred, file_path,
... | martinferianc/PatternRecognition-EIE4 | Coursework 2/post_process.py | post_process.py | py | 1,935 | python | en | code | 1 | github-code | 36 |
4313052823 | import torch
from gms_loss import *
from PIL import Image
from torchvision import transforms
from gms_loss import MSGMS_Loss
image_path_1= './lj_test_image/1118_visdon_HR_downsampling_2loss_visstyle/0_SR_x_1105_4.png'
image_path_2 = './lj_test_image/1116_tcl_bright/6_SR_x_1105_4.png'
img_ycbcr_1 = Image.open(image_pa... | JOY2020-Mh/SR_2.0 | gsmd_LOSS/image_calculate_gmsd.py | image_calculate_gmsd.py | py | 795 | python | en | code | 0 | github-code | 36 |
20219614528 | # match close atoms in two moleculas by maximum weighted bipartite matching
import numpy as np
import logging
# weights - numpy 2-dimensional array
def wbm(weights):
import pulp
pulp.LpSolverDefault.msg = False
prob = pulp.LpProblem("WBM_Problem", pulp.LpMinimize)
m,n = weights.shape
# ... | gudasergey/pyFitIt | pyfitit/wbm.py | wbm.py | py | 2,829 | python | en | code | 28 | github-code | 36 |
70744489704 | import fileinput
import glob
import os
import random
import time
import re
from urllib.error import HTTPError
from arghandler import ArgumentHandler, subcmd
from google import search
from subprocess import call
from procurer import ultimate_guitar, lastfm, postulate_url
from rules import rules, clean
from songbook... | arpheno/songbook | main.py | main.py | py | 4,443 | python | en | code | 0 | github-code | 36 |
10302743850 | import pandas as pd
import numpy as np
f = open("u.user", 'r')
d = f.readlines()
f.close()
n = np.array(d)
user_index = ["user id", "age", "gender", "occupation", "zip_code"]
user = np.char.strip(n)
user = np.char.split(user, '|', 4)
user_df = pd.DataFrame(list(user), columns=user_index)
user_df["user id"] = user_df["... | MyuB/OpenSW_Exercise | hw_02/ml-100k/temp.py | temp.py | py | 2,716 | python | en | code | 0 | github-code | 36 |
19924785078 | input_value = {
'hired': {
'be': {
'to': {
'deserve': 'I'
}
}
}
}
def reverse_nested_dict(input_value) :
for first, second_layer in input_value.items():
for second, third_layer in second_layer.items():
for third, forth_layer in third_layer.items():
... | LiviaChen/my_codes_record | Interview question for Python 3/Interview question for Python 3.py | Interview question for Python 3.py | py | 745 | python | en | code | 0 | github-code | 36 |
30600682231 | from django.dispatch import receiver
from django.db.models.signals import post_save
from expensense.models import Expense, ApprovalConditions
from django.utils import timezone
@receiver(post_save, sender=Expense)
def auto_approve_expense(sender, instance, **kwargs):
""" Method to auto approve expense requests """... | praharsh05/ExpenSense | expensense_main/expensense/signals.py | signals.py | py | 2,303 | python | en | code | 0 | github-code | 36 |
36955207429 | import random, string
import wiredtiger, wttest
from helper import copy_wiredtiger_home
from wtdataset import SimpleDataSet
from wtscenario import filter_scenarios, make_scenarios
# test_cursor12.py
# Test cursor modify call
class test_cursor12(wttest.WiredTigerTestCase):
keyfmt = [
('recno', dict(keyfm... | mongodb/mongo | src/third_party/wiredtiger/test/suite/test_cursor12.py | test_cursor12.py | py | 15,173 | python | en | code | 24,670 | github-code | 36 |
23048227631 | #!/usr/bin/env python
# coding: utf-8
# # 積み上げ棒グラフを作成する
# In[1]:
get_ipython().run_line_magic('matplotlib', 'inline')
from matplotlib import pyplot as plt
import numpy as np
#数値は適当
bar1 = [100, 50, 200] #積み上げ棒グラフの一段目
bar2 = [100, 200, 50] #積み上げ棒グラフの二段目
bar3 = [100, 250, 100] #積み上げ棒グラフの三段目
bar3_st = np.add(bar1, b... | workskt/book | _build/jupyter_execute/python_plot_cumulativebar.py | python_plot_cumulativebar.py | py | 5,462 | python | ja | code | 0 | github-code | 36 |
1141389329 | from werkzeug.security import check_password_hash
from db.SedmDb import SedmDB
import datetime
import os
import json
import re
import pandas as pd
import numpy as np
import requests
import glob
import time
from decimal import Decimal
from bokeh.io import curdoc
from bokeh.layouts import row, column
from bokeh.models im... | scizen9/sedmpy | web/model.py | model.py | py | 117,058 | python | en | code | 5 | github-code | 36 |
21877547543 | from TeamCloud_Modul.Blockchain import Transaction
import requests
import json
import os
from TeamCloud_Modul.Node import Node
from TeamCloud_Modul.json_parser import Message, JSON_Parser, get_checksum
from cryptography.hazmat.primitives import serialization
from requests.api import request
from create_Keys import c... | Marcus11Dev/Blockchain_Lesson_Agent | agent.py | agent.py | py | 13,436 | python | en | code | 0 | github-code | 36 |
12212813324 | #!/usr/bin/env python
''' This is the parallel recursive solution to the Tower of Hanoi and is copied
from the code written in the parallel/rebuilding-the-tower-of-hanoi/ page
of www.drdobbs.com.
The solution has been modified from drdobbs' solution to work with my limited
knowledge of mpi4py. If you use the sleep() f... | icluster/demos | hanoi/src/hanoi_soln_par.py | hanoi_soln_par.py | py | 4,912 | python | en | code | 0 | github-code | 36 |
30075701833 | # This file contains several global settings used across the rest of the scripts in the style
# of a `startup.m` file in Matlab. I quite like this format, so I'll use it here as well :)
# This is the location of the data on my computer
# The data takes up about 24GB, so I store it on an
# external hard drive
# This is... | Jfeatherstone/FailurePrediction | geogran_old/toolbox/Settings.py | Settings.py | py | 629 | python | en | code | 0 | github-code | 36 |
18896618824 | from django.conf.urls.defaults import *
# Uncomment the next two lines to enable the admin:
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
# Example:
# (r'^johnjot/', include('johnjot.foo.urls')),
(r'^api/', include('core.api.urls')),
(r'^admin/', include(admin.site.u... | maraca/JohnJot | core/urls.py | urls.py | py | 329 | python | en | code | 4 | github-code | 36 |
20707090879 | import os, time
from Crypto.Random import get_random_bytes, random
from lib.logger import *
log = Logger()
'''
This class handles the BLE Beacon Transmission (TX).
Because after some time of BLE advertising, a restart of the BLE stack (hciconfig hci0 down / up) might be required,
and because the pybleno class can't be... | mh-/exposure-notification-ble-python | lib/en_tx_service.py | en_tx_service.py | py | 2,883 | python | en | code | 28 | github-code | 36 |
71511379944 | import math
import random
import collections
import Artist
import os
LINE_LENGTH_MIN = 8
LINE_LENGTH_MAX = 12
EPSILON = 0.20
UNIGRAM_WEIGHT = 1
BIGRAM_WEIGHT = 10
TRIGRAM_WEIGHT = 100
# Preparatory code: Setting Up All Artists' N-grams
# -------------------------------------------------
# Uni/bi/tri-grams from A... | ch-plattner/musical_croding | code/line_generator.py | line_generator.py | py | 7,323 | python | en | code | 3 | github-code | 36 |
44255065901 | trials = int(input())
input()
for trial in range(trials):
l = []
for i in range(8):
l.append(list(input()))
if trial!= trials-1:
input()
x = 0
y = 0
p = 2
for k in range(1,8):
i = l[k]
if '#' in i and i.count('#')==1:
p = 1
elif '#' in i an... | Ghanashyam-Bhat/CompetitiveProgramming | 6-1-2022/3.py | 3.py | py | 532 | python | en | code | 1 | github-code | 36 |
35397910028 | from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import glob
import os
from textwrap import dedent
import xml.dom.minidom as DOM
import coverage
from pants.backend.python.targets.python_library import PythonLibrary... | fakeNetflix/square-repo-pants | tests/python/pants_test/backend/python/test_test_builder.py | test_test_builder.py | py | 8,998 | python | en | code | 0 | github-code | 36 |
33759274918 | import json
import codecs
import sys
if len(sys.argv) != 3:
print('Usage: ' + sys.argv[0] + " <input json path> <output csv path>")
exit()
infilename = sys.argv[1]
outfilename = sys.argv[2]
sep = "|"
out = open(outfilename, 'w')
def processSource(sourceStr):
source = sourceStr.lower()
listOfAppleDe... | ador/trial | scripts/twitterJsonToCsv.py | twitterJsonToCsv.py | py | 4,212 | python | en | code | 1 | github-code | 36 |
35872181243 | __author__ = 'Dennis Qiu'
from PIL import Image
def de_steg(encrypted_file):
f, e = encrypted_file.split('.')
steg = Image.open(encrypted_file)
out = Image.new('RGB', (steg.width,steg.height))
for x in range(steg.width):
for y in range(steg.height):
r, g, b = steg.getpixel(... | denqiu/Python-ImageProcessing | image_steg.py | image_steg.py | py | 1,570 | python | en | code | 0 | github-code | 36 |
73424753064 | # -*- coding: utf-8 -*-
from __future__ import print_function
import os
import re
import json
from importlib import import_module
from inspect import stack
from traceback import print_exc
from urllib.parse import unquote
from utils import *
from config import *
@retry(Exception, cdata='method={}'.format(stack()[0... | belodetek/unzoner-api | src/vpns.py | vpns.py | py | 16,340 | python | en | code | 3 | github-code | 36 |
72738108584 | #!/bin/python3
import os
import sys
import pathlib
from amp_database import download_DRAMP
def check_samplelist(samplelist, tools, path):
if(samplelist==[]):
print('<--sample-list> was not given, sample names will be inferred from directory names')
for dirpath, subdirs, files in os.walk(path):
... | Darcy220606/AMPcombi | ampcombi/check_input.py | check_input.py | py | 5,496 | python | en | code | 4 | github-code | 36 |
875238035 | class Grade:
def __init__(self, topic, mark, student_name):
self.topic = topic
self.mark = mark
self.student_name = student_name
def print_info(self):
print("Topic", self.topic)
print("Grade", self.mark)
print("Student", self.student_name)
return self
... | jwaine44/ClassLecture | Student.py | Student.py | py | 3,202 | python | en | code | 0 | github-code | 36 |
4810054439 | from __future__ import (absolute_import, division,
print_function, unicode_literals)
import pygame
from .shape import Shape
from .arrow import Arrow
from .line import Line
from .label import Label
class Pointer(Shape):
def __init__(self, element, text, direction="ul.middle",
... | JoaoFelipe/Data-Structures-Drawer | ds_drawer/shapes/pointer.py | pointer.py | py | 1,056 | python | en | code | 0 | github-code | 36 |
28552898211 | #-*-coding:utf-8-*-
import argparse
import pyspark
from pyspark.sql.types import IntegerType
from pyspark.sql.functions import *
from generic_utils import execute_compute_stats
def extract_tbau_documento(spark):
columns = [
col("DOCU_DK").alias("DOAT_DOCU_DK"),
col("DOCU_NR_EXTERNO").alias("DOAT_DOCU_NR_EXTE... | rhenanbartels/scripts-bda | extract_tbau/src/extractor.py | extractor.py | py | 25,402 | python | pt | code | 0 | github-code | 36 |
41165253893 | # -*- coding: utf-8 -*-
'''
This file is part of Habitam.
Habitam is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of
the License, or (at your option) any later version.
Habitam is distr... | habitam/habitam-core | habitam/ui/forms/fund.py | fund.py | py | 3,821 | python | en | code | 1 | github-code | 36 |
12366447292 | import glob
import os
import shutil
import tempfile
import unittest
from ample import constants
from ample.testing import test_funcs
from ample.util import ample_util, spicker
@unittest.skip("unreliable test cases")
@unittest.skipUnless(test_funcs.found_exe("spicker" + ample_util.EXE_EXT), "spicker exec missing")
cl... | rigdenlab/ample | ample/util/tests/test_spicker.py | test_spicker.py | py | 2,160 | python | en | code | 6 | github-code | 36 |
1252911352 | class SmallestStringStartingFromLeaf(object):
def smallestFromLeaf(self, root):
self.ans = "~"
def dfs(node, A):
if node:
A.append(chr(node.val + ord('a')))
if not node.left and not node.right:
self.ans = min(self.ans, "".join(reversed... | lyk4411/untitled | beginPython/leetcode/SmallestStringStartingFromLeaf.py | SmallestStringStartingFromLeaf.py | py | 1,227 | python | en | code | 0 | github-code | 36 |
8342129346 | from django.http import request
from django.http.response import HttpResponse
from django.shortcuts import redirect, render
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from core.models import Medico, Hora, Cita, Paciente
from core.forms import Pa... | felipe-quirozlara/arquit-proyect | arquitGalenos/pages/views.py | views.py | py | 7,814 | python | en | code | 0 | github-code | 36 |
3903968215 | #!/usr/bin/env python
from __future__ import with_statement
import logging
import logging.handlers
LOG_FILE_HDL = '/tmp/logging_example.out'
mylogger = logging.getLogger("MyLogger")
mylogger.setLevel(logging.DEBUG)
ch_handler = logging.StreamHandler()
ch_handler.setLevel(logging.DEBUG+1)
mylogger.addHandler(ch_han... | bondgeek/pythonhacks | recipes/logger_example.py | logger_example.py | py | 756 | python | en | code | 3 | github-code | 36 |
11612639350 | # -*- coding:utf-8 -*-
# ==========================================
# author: ZiChen
# mail: 1538185121@qq.com
# time: 2021/05/03
# 歌词下载脚本
# ==========================================
# 请求及数据处理库
import re
from urllib import request
import json
import traceback
import os
# 本... | Zichen3317/demo18-lyricsDownloader | fc_lyricsDownloader.py | fc_lyricsDownloader.py | py | 17,698 | python | en | code | 0 | github-code | 36 |
25607520371 | class Solution:
def minDistance(self, word1: str, word2: str) -> int:
r, c = len(word1), len(word2)
dp=[[0]*(c+1) for i in range(r+1)]
for i in range(1,r+1):
for j in range(1,c+1):
if word1[i-1] == word2[j-1]:
dp[i][j] = 1 + dp[i-1][... | Nirmalkumarvs/programs | Dynamic programming/Delete Operation for Two Strings.py | Delete Operation for Two Strings.py | py | 468 | python | en | code | 0 | github-code | 36 |
39400543792 | import numpy as np;
import cv2;
#load image from file
#cv2.imwrite('imageName.png', img);
rgb_red_pos = 2;
rgb_blue_pos = 0;
rgb_green_pos = 1;
img_1 = cv2.imread('red1.png',1);
##img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY);
##extract the red component image 1
red_only1 = np.int16( np.matrix(img_1[:,:,rgb_red_pos]))... | botchway44/computer-Vision | image diffrencing.py | image diffrencing.py | py | 2,160 | python | en | code | 0 | github-code | 36 |
15019927918 | # This is a sample Python script.
import pandas as pd
import csv
from datetime import datetime
import json
import paho.mqtt.client as mqtt
from itertools import count
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
# Press Mayús+F10 to execute it or replace it with your code.
# Press Dou... | JordiLazo/embedded_and_ubiquitous_systems_103056 | ReceiverMQTT/main.py | main.py | py | 1,463 | python | en | code | 0 | github-code | 36 |
31064957465 |
from ..utils import Object
class ThemeParameters(Object):
"""
Contains parameters of the application theme
Attributes:
ID (:obj:`str`): ``ThemeParameters``
Args:
background_color (:obj:`int`):
A color of the background in the RGB24 format
secondary_background_... | iTeam-co/pytglib | pytglib/api/types/theme_parameters.py | theme_parameters.py | py | 2,062 | python | en | code | 20 | github-code | 36 |
38264973809 | import importlib
from copy import deepcopy
from os import path as osp
from collections import OrderedDict
from pyiqa.utils import get_root_logger, scandir
from pyiqa.utils.registry import ARCH_REGISTRY
from pyiqa.default_model_configs import DEFAULT_CONFIGS
__all__ = ['build_network', 'create_metric']
# automatical... | Sskun04085/IQA_PyTorch | pyiqa/archs/__init__.py | __init__.py | py | 1,637 | python | en | code | 0 | github-code | 36 |
25084775362 | # This Golf class will be responsible for scraping the latest
# Trump golf outing located on trumpgolfcount.com
from bs4 import BeautifulSoup
import requests
import json
import twitter
import lxml
import pyrebase
def main():
get_latest_outing()
def push_db(data):
# db.child("time").push(data)
db.child("t... | navonf/isTrumpGolfing | Golf.py | Golf.py | py | 2,033 | python | en | code | 0 | github-code | 36 |
33540666683 | """HTTP Archive dataflow pipeline for generating HAR data on BigQuery."""
from __future__ import absolute_import
import json
import logging
from copy import deepcopy
from hashlib import sha256
import apache_beam as beam
from modules import utils, constants, transformation
# BigQuery can handle rows up to 100 MB.
M... | HTTPArchive/data-pipeline | modules/non_summary_pipeline.py | non_summary_pipeline.py | py | 17,297 | python | en | code | 3 | github-code | 36 |
5259209115 | # import libraries
import datetime
from airflow import DAG
from airflow.contrib.operators.emr_create_job_flow_operator import EmrCreateJobFlowOperator
from airflow.contrib.operators.emr_add_steps_operator import EmrAddStepsOperator
from airflow.contrib.sensors.emr_step_sensor import EmrStepSensor
from airflow.contrib.o... | stefanjaro/data-engineering-nanodegree-capstone-project | airflow/dags/prepare-data-for-redshift.py | prepare-data-for-redshift.py | py | 8,900 | python | en | code | 0 | github-code | 36 |
71252887144 | from datetime import datetime
import glob
import os
import time
import anim
import threading
print(datetime.timestamp(datetime.now()))
class User:
def __init__(self, name: str):
self.name = name
class Chat:
def __init__(self, username: str, text: str, score: int = 0):
self.author = User(usern... | ij5/ace-ainize | app.py | app.py | py | 1,475 | python | en | code | 0 | github-code | 36 |
13186345837 | def selection_sort(nums) :
size = len(nums)
for i in range(0 , size-1):
min_pos = i
for j in range (i+1 , size):
if nums[j] < nums[min_pos] :
min_pos = j
if min_pos != i:
nums[i] , nums[min_pos] = nums[min_pos] , nums[i]
return nums
sortValu... | Dulal-12/sortinga-Algorithm | sle.py | sle.py | py | 372 | python | en | code | 0 | github-code | 36 |
11798416126 | from math import log10
def calculate(balance, apr, payment):
x = -0.33
apr = apr/100
w = 1-((1+(apr/365))**30)
z = log10((1 + ((balance/payment)*w)))
y = log10(1 + apr)
months = divmod(((x * (z//y)) * 365), 12)
return int(months[0])
balance = int(input("What is your balance? "))
apr = int... | matryosh/Programming-Exercises | python/Chapter_5/months-to-payoff-credit.py | months-to-payoff-credit.py | py | 543 | python | en | code | 0 | github-code | 36 |
6241263490 | def btr(depth):
global max_num
num = int(''.join(nums))
if num in num_set:
return
else:
num_set.add(num)
if depth == n:
num = int()
if max_num < max(num_set):
max_num = max(num_set)
return
for i in range(size):
for j in range(i+1, si... | daehyun1023/Algorithm | python/swea/swea1244.py | swea1244.py | py | 725 | python | en | code | 0 | github-code | 36 |
8368222279 | from itertools import groupby
def checkgroup(word):
group = [key for key, item in groupby(word)]
values =[(k, [i for i in range(len(word)) if word[i] == k]) for k in group]
groupword = 0
for items in values:
if items[1].__len__() == 0:
groupword += 1
continue
... | hyelimchoi1223/Algorithm-Study | 백준/[백준]1316 그룹 단어 체커/python.py | python.py | py | 789 | python | en | code | 1 | github-code | 36 |
34545951895 | 'Chat room client'
import threading
import socket
class chatRoomClient:
ALIAS = "johnDoe"
client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server = "127.0.0.1"
port = 6969
encoding = "utf-8"
def __init__(self, ip="127.0.0.1", port=6967):
self.ALIAS = input("Choose an alias ... | MrMetrik/chatRoom | client/client2.py | client2.py | py | 1,308 | python | en | code | 0 | github-code | 36 |
15775777498 | from enum import Enum
from dataclasses import dataclass
class TokenType(Enum):
NUMBER = 0
PLUS = 1
MINUS = 2
ASTERISK = 3
SLASH = 4
LPAR = 5
RPAR = 6
@dataclass
class Token:
type: TokenType
value: str
def __repr__(self) -> str:
return f"({self.type.name}, '{self.valu... | ricdip/py-math-interpreter | src/model/token.py | token.py | py | 326 | python | en | code | 0 | github-code | 36 |
42498915540 | from sequ_error import *
# Converts an integer to a roman numeral
def int_to_roman(input):
try:
if type(input) != type(1):
raise FormatError("expected integer, got %s" % type(input))
if not 0 < input < 4000:
raise FormatError("argument must be between 1 and 3999")
except... | razanur37/sequ.py | sequ_roman.py | sequ_roman.py | py | 2,135 | python | en | code | 1 | github-code | 36 |
31371160161 | # 4- Напишите программу, которая будет преобразовывать десятичное число в двоичное.
# Подумайте, как это можно решить с помощью рекурсии.
# Пример:
# 45 -> 101101
# 3 -> 11
# 2 -> 10
from function import CheckInputIntNumbers
def binar_sys (number:int,list:list) -> int:
"""
Преобразовывает десятичное число... | AlexandrFeldsherov/lessonTreeSeminar | task004.py | task004.py | py | 906 | python | ru | code | 0 | github-code | 36 |
18394317715 | import sys
import numpy as np
import tiledb
# Name of the array to create.
array_name = "reading_dense_layouts"
def create_array():
# The array will be 4x4 with dimensions "rows" and "cols", with domain [1,4].
dom = tiledb.Domain(
tiledb.Dim(name="rows", domain=(1, 4), tile=2, dtype=np.int32),
... | TileDB-Inc/TileDB-Py | examples/reading_dense_layouts.py | reading_dense_layouts.py | py | 2,729 | python | en | code | 165 | github-code | 36 |
37453777335 | from .textbox import Textbox
from engine.device import Device
from engine.action import Action
from typing import List
from .clickable import BLUE, RED
from numpy.random import randn as random
from engine.player import Player
from user_interface.show_money_textbox import Money_Textbox
BACKSPACE: int = 8
ENTER: int = 13... | talacounts/game_of_life | user_interface/game_textbox.py | game_textbox.py | py | 1,425 | python | en | code | 0 | github-code | 36 |
9169632462 | # coding=utf-8
import os
import sys
import platform
import subprocess
import shutil
Python = "python" if platform.system() == "Windows" else "python3"
def executCommand(command):
out = open(os.devnull, 'w')
err = subprocess.STDOUT
return subprocess.call(command, shell=True, stdout=out, stderr=err)
def... | Thenecromance/TMake | python/TLoader.py | TLoader.py | py | 1,073 | python | en | code | 0 | github-code | 36 |
32417088655 | import json
from typing import Dict
from influxdb_client import InfluxDBClient, Point, WritePrecision
from influxdb_client.client.write_api import SYNCHRONOUS
import pandas as pd
import logging
class InfluxDB:
def __init__(self, local) -> None:
# Create a config.json file and store your INFLUX token as a k... | pattty847/Crypto-Market-Watch | app/api/influx.py | influx.py | py | 3,453 | python | en | code | 2 | github-code | 36 |
74087426982 | import requests, datetime, csv
from flask import Flask
from flask import request, render_template
response = requests.get("http://api.nbp.pl/api/exchangerates/tables/C?format=json")
data_as_json= response.json()
app = Flask(__name__)
for item in data_as_json:
only_rates = item.get('rates')
current_date = ite... | gorkamarlena/currency_calculator | app.py | app.py | py | 1,803 | python | en | code | 0 | github-code | 36 |
34981855639 | from flask import Flask, request, render_template
from googlesearch import search
app = Flask(__name__)
def search_pdfs(query, num_results=5):
search_results = []
try:
for j in search(query + " filetype:pdf", num_results=num_results):
search_results.append(j)
return search_results... | suryagowda/booksearcherr | booksearcher/app.py | app.py | py | 764 | python | en | code | 0 | github-code | 36 |
32072082706 | from flask import Flask, request, jsonify
from sklearn.ensemble import GradientBoostingRegressor
import pickle
import matplotlib
import joblib
import pandas as pd
from sklearn.preprocessing import LabelEncoder
from load_data import (
get_binance_dataframe,
get_bingx_dataframe,
get_bitget_dataframe,
get_... | PhatcharaNarinrat/adamas-arbitrage | prediction.py | prediction.py | py | 2,279 | python | en | code | 0 | github-code | 36 |
20857572237 | #https://leetcode.com/problems/pascals-triangle-ii/
class Solution:
def getRow(self, rowIndex: int) -> List[int]:
lis=[[1]]
print(lis)
for x in range(1,rowIndex+1):
temp=lis[x-1]
#we have temp
temp.insert(0,0)
temp.append(0)
... | manu-karenite/Problem-Solving | DP/pascalsTriangle.py | pascalsTriangle.py | py | 482 | python | en | code | 0 | github-code | 36 |
44599845798 | class Node:
def __init__(self, data= None, next_node= None):
self.data = data
self.next_node = next_node
class LinkedList:
def __init__(self):
self.head = None
self.last_node= None
def print_ll(self):
ll_string = ""
node = self.head
if node is None:... | ada-nai/fcc-ds-flask | linked_list.py | linked_list.py | py | 2,052 | python | en | code | 0 | github-code | 36 |
27335304681 | #!/usr/bin/python3
from Random import *
import turtle
import numpy
import random
import math
r = Random(517 ,0 ,8999)
scale = 10
def reset(x,y):
root = turtle.getscreen()._root
turtle.clear()
root.withdraw()
root.quit()
def getDirection():
return r.random()%4
def draw(x, y):
reset(None, No... | PapyRedstone/SimulationSystemesTP2 | main.py | main.py | py | 4,702 | python | en | code | 0 | github-code | 36 |
73335571623 | import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
import pytest
from tpk.hypervalidation.hyperparameter_search import (
run_model_cmd_parallel,
run_study,
)
from tpk.torch import TSMixerModel
@pytest.mark.asyncio
async def test_num_workers() -> None:
results = await run_mo... | airtai/temporal-data-kit | tests/hypervalidation/test_hyperparameter_search.py | test_hyperparameter_search.py | py | 1,039 | python | en | code | 2 | github-code | 36 |
19475555146 | from django.shortcuts import render
from django.contrib.auth.decorators import login_required
from django.shortcuts import render, HttpResponse, redirect, get_object_or_404
from django.core.paginator import Paginator
from django.contrib.auth import authenticate, login, logout
from django.contrib import messages
from dj... | Asif-Biswas/instagram-clone | instagram2/views.py | views.py | py | 24,038 | python | en | code | 1 | github-code | 36 |
72791854185 | """
Tags: Arrays
Pattern: Two-pointers
Notes: We're making use of the two-pointer pattern and overwriting (swapping).
- We use two pointers to swap the zeros with non-zero numbers, hence gradually pushing the zeros towards the end of the array.
- The right pointer traverses the array without stopping, when it gets t... | cs50victor/dsa | leetcode/283-move-zeroes.py | 283-move-zeroes.py | py | 1,045 | python | en | code | 0 | github-code | 36 |
21135616107 | import subprocess, os, urllib, platform
def get_value(input_data, key, default=False):
"""
Lấy giá trị key trong input_data.
Nếu không có thì sẽ trả về:
- False nếu không có default
- default nếu có default
"""
try:
return input_data[key]
except:
return def... | nguyenxuanhoa493/LMS | API/until.py | until.py | py | 1,775 | python | vi | code | 0 | github-code | 36 |
70323989225 | #Menggambar graf dengan 8 nodes
import matplotlib
import networkx as nx
import itertools
G = nx.Graph()
#Menambah node
L = ['a','b','c','d','e','f','g','h']
G.add_nodes_from(L)
'''
Kak ini kenapa nodesnya selalu kerandom ya? :(
'''
#Menambah edge
pairs = itertools.combinations(L,2)
edges = list()
... | dionesiusap/matplotlib-networkx-example | graph.py | graph.py | py | 515 | python | en | code | 0 | github-code | 36 |
24593161716 |
def summ(x, y):
result = (x+y)
return result
# a = summ(15, 33)
# print(a)
def revers(lstr):
revl = []
for element in lstr:
element = element[::-1]
revl.append(element)
return revl
# b = revers(["i want to become a python developer", "it will be hard", "i am learning"])
# prin... | MikitaTsiarentsyeu/Md-PT1-69-23 | Tasks/Stansky/Task5/Task 5.py | Task 5.py | py | 1,708 | python | en | code | 0 | github-code | 36 |
23210851418 | from config import Config
import requests, json
from app.models import news_article, news_source
MOVIE_API_KEY = Config.API_KEY
News_Article = news_article.Article
News_Source = news_source.Source
def configure_request(app):
global api_key
api_key = app.config['API_KEY']
def get_news():
request = reque... | Joshua-Barawa/news-app | app/requests.py | requests.py | py | 1,570 | python | en | code | 1 | github-code | 36 |
36613114839 | import os
import enum
# Folder projet interphone
LOG_DIR = "src_backend/Repport/"
# Information des trace d'erreur
ERROR_TRACE_FILE_PATH = os.path.join(LOG_DIR, 'Error.trace')
# Information des logs pour des log général
LOG_FILENAME = "APP_Window.log"
#Structure du code
LOG_FORMAT = "%(asctime)s [%(lev... | ClemGRob/InterPhoneVisiaScan | src_backend/constants_log.py | constants_log.py | py | 745 | python | fr | code | 0 | github-code | 36 |
70891405863 | from flask import Flask, render_template, request
from transformers import VisionEncoderDecoderModel, ViTFeatureExtractor, AutoTokenizer
import torch
from PIL import Image
import io
import base64
app = Flask(__name__)
model = VisionEncoderDecoderModel.from_pretrained("nlpconnect/vit-gpt2-image-captioning")
feature_ex... | AtchayaPraba/Listed-Inc-image-captioning | app.py | app.py | py | 2,759 | python | en | code | 0 | github-code | 36 |
12315568695 | import sys
import time
import numpy as np
from numpy import matlib
from Functions import constants
from Functions.FDTD_Core_Ez import FDTD_Core_Ez
from Functions.FDTD_Core_H import FDTD_Core_H
np.set_printoptions(threshold=sys.maxsize)
def FDTD_2D(prepared, Debye_model, phantom, antennas_setup, gaussi... | philorfa/FDTD_2D | pythonProject/Functions/FDTD_2D.py | FDTD_2D.py | py | 11,969 | python | en | code | 0 | github-code | 36 |
15589484398 | import requests
from lxml import etree
import os
'''if __name__=='__main__':
try:
url='https://pic.netbian.com/4kmeinv/'
headers={'user-agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36'}
response=requests.get(url=url,h... | BrotherIsHere/pythonProject | 7.xpath解析案例－下载图片数据.py | 7.xpath解析案例－下载图片数据.py | py | 1,746 | python | en | code | 0 | github-code | 36 |
73739222823 | # Milestone Project 2 - Blackjack Game
"""
In this milestone project you will be creating a Complete BlackJack Card Game in Python.
Here are the requirements:
You need to create a simple text-based BlackJack game
The game needs to have one player versus an automated dealer.
The player can stand or hit.
The p... | TomasMantero/Milestone-Project-2-Blackjack-Game | milestone_project2_blackjack_game.py | milestone_project2_blackjack_game.py | py | 11,595 | python | en | code | 0 | github-code | 36 |
25023256 | import sys
input = sys.stdin.readline
def find(n):
if n != city[n]:
city[n] = find(city[n])
return city[n]
return n
def union(a, b):
parent = find(a)
child = find(b)
if parent>child: parent, child = child, parent
if parent != child:
city[child] = parent
n = int(inpu... | kmgyu/baekJoonPractice | Graph/분리 집합/여행 가자.py | 여행 가자.py | py | 683 | python | en | code | 0 | github-code | 36 |
73498685865 | class BankAccount:
def __init__(self, int_rate=0.01, checking_balance=0, savings_balance=0):
self.interest_rate = int_rate
self.account_balance_checking = checking_balance
self.account_balance_savings = savings_balance
def deposit(self, acct_type, amount):
if acct_type =... | carlamiles/users_with_bank_accounts.py | users_with_bank_accounts.py | users_with_bank_accounts.py | py | 3,951 | python | en | code | 0 | github-code | 36 |
28231150156 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import netCDF4
from utils import *
def write_jules_overbank_props_1d(overbank_fn, overbank_maps, grid_dim_name):
nco = netCDF4.Dataset(overbank_fn, 'w', format='NETCDF4')
mask = LAND_FRAC > 0.
nland = mask.sum()
for key, value in overbank_maps.items()... | simonmoulds/jamr | src/python/write_jules_overbank_props.py | write_jules_overbank_props.py | py | 2,611 | python | en | code | 0 | github-code | 36 |
7813600766 | """add region column for sample
Create Date: 2021-04-05 17:09:26.078925
"""
import enumtables # noqa: F401
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "20210405_170924"
down_revision = "20210401_211915"
branch_labels = None
depends_on = None
def upgrade():
... | chanzuckerberg/czgenepi | src/backend/database_migrations/versions/20210405_170924_add_region_column_for_sample.py | 20210405_170924_add_region_column_for_sample.py | py | 1,818 | python | en | code | 11 | github-code | 36 |
37635298543 | """
Reversing a list:
Various methods of reversing a list :
- by creating another list.
- by updating the existing list.
"""
# Method1: using range function(iterating towards backward) property:
#>> does not update the existing list
L1 = [1,2,3,4]
Reverselist = []
leng = len(L1)-1
for i in range(leng ,... | Anchals24/General-Basic-Programs | Reversing a list.py | Reversing a list.py | py | 2,049 | python | en | code | 7 | github-code | 36 |
20968378807 | # * 4. Задайте список из произвольных вещественных чисел, количество задаёт пользователь.
# Напишите программу, которая найдёт разницу между максимальным
# и минимальным значением дробной части элементов.
# in
# 5
# out
# [5.16, 8.62, 6.57, 7.92, 9.22]
# Min: 0.16, Max: 0.92. Difference: 0.76
# in
# 3
# out
# [9.26,... | Nadzeya25/Python_GB | seminar3_Python/home_work3_tester/task3_4.py | task3_4.py | py | 1,320 | python | ru | code | 0 | github-code | 36 |
26424981939 | #coding: utf-8
#
# example 11.4
#
import numpy as np
from geothermal_md import *
from matplotlib.pyplot import *
from scipy.optimize import curve_fit
#
# donnees du probleme
#
gam = 0.5772157
M = np.loadtxt("..\\data\\pumping_test2.txt")
t = M[:,0] # time in minutes
sf = M[:,1] # drawndown in meters
nt = len(... | LouisLamarche/Fundamentals-of-Geothermal-Heat-Pump-Systems | chapter11/Example11_4.py | Example11_4.py | py | 1,363 | python | en | code | 1 | github-code | 36 |
28981485311 | from tendrl.commons import flows
from tendrl.monitoring_integration.flows.delete_resource_from_graphite import \
graphite_delete_utils
class DeleteResourceFromGraphite(flows.BaseFlow):
def run(self):
super(DeleteResourceFromGraphite, self).run()
integration_id = self.parameters.get("TendrlCon... | Tendrl/monitoring-integration | tendrl/monitoring_integration/flows/delete_resource_from_graphite/__init__.py | __init__.py | py | 625 | python | en | code | 4 | github-code | 36 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.