seq_id stringlengths 7 11 | text stringlengths 156 1.7M | repo_name stringlengths 7 125 | sub_path stringlengths 4 132 | file_name stringlengths 4 77 | file_ext stringclasses 6
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39430188225 | import json
import pandas as pd
import yfinance as yf
import pytz
from datetime import datetime, timedelta
import time
# Read forex pairs from JSON file
with open('forex_pairs.json', 'r') as file:
forex_pairs = json.load(file)
# Define the time frame and time zone
timeframe = '1h'
timezone = 'Africa/Nairobi'
# ... | Nurain313/N1l8w5f9s2g5 | Trash/ma.py | ma.py | py | 3,229 | python | en | code | 0 | github-code | 6 |
27577951391 | from django.shortcuts import get_object_or_404, render, redirect, HttpResponseRedirect
from django.views.generic import TemplateView, UpdateView
from django.contrib.auth import get_user_model
from .models import Message
from django.urls import reverse
from django.contrib import messages
from review.models import Review... | Afeez1131/Anonymous-v1 | anonymous/views.py | views.py | py | 4,560 | python | en | code | 0 | github-code | 6 |
23019499020 | from __future__ import absolute_import
from __future__ import print_function
import numpy as np
import tensorflow as tf
TOWER_NAME = 'tower'
def sparsity_hook_forward(x_list):
"""Helper to create summaries of sparsity.
Creates a summary that measures the sparsity of a tensor.
Args:
x_list: a list of tens... | shidong-ai/sparsity_analysis | imagenet/sparsity_util.py | sparsity_util.py | py | 5,059 | python | en | code | 0 | github-code | 6 |
71483369148 | """
Created by kevin-desktop, on the 18/02/2023
ADD sentiment columns to a sample Excel sheet.
"""
import numpy as np
import pandas as pd
import tqdm
from asba_model import run_models
path = "data/marco_sample.pkl"
df = pd.read_pickle(path)
dic = {}
max_nb_terms = 0
for row in tqdm.tqdm(df.itertuples(name=None)):... | KnuxV/SentA | add_sentiment_to_dataframe.py | add_sentiment_to_dataframe.py | py | 868 | python | en | code | 0 | github-code | 6 |
71236766909 | import struct
from enum import Enum
import typing as ty
from mate.net.nao_data import Data, DebugValue, DebugImage
NO_SUBSCRIBE_KEY = "none"
K = ty.TypeVar('K')
def split(predicate: ty.Callable[[K], bool], dictionary: ty.Dict[K, dict]):
dict1 = {}
dict2 = {}
for key in dictionary:
if predicate(ke... | humanoid-robotics-htl-leonding/robo-ducks-core | tools/mate/mate/net/utils.py | utils.py | py | 3,976 | python | en | code | 5 | github-code | 6 |
71396397949 | # Import packages
import gpxpy
import numpy as np
# Read gpx-file
gpxFile = "yourfile.gpx"
gpx_file = open(gpxFile, 'r')
gpx = gpxpy.parse(gpx_file)
# Calculate speeds between points
speed = []
for track in gpx.tracks:
for segment in track.segments:
for point_no, point in enumerate(segment.points):
... | Haukiii/simpleGpxRunCorrector | simpleGPXrunCorrector.py | simpleGPXrunCorrector.py | py | 1,329 | python | en | code | 0 | github-code | 6 |
18485867132 | # Read values PMS5003 and return as dict
def read_pms5003(pms5003):
values = {}
try:
pm_values = pms5003.read() # int
values["pm1"] = pm_values.pm_ug_per_m3(1)
values["pm25"] = pm_values.pm_ug_per_m3(2.5)
values["pm10"] = pm_values.pm_ug_per_m3(10)
except ReadTimeoutError:
... | BurnoutDV/AirWatcher | snippets.py | snippets.py | py | 1,836 | python | en | code | 0 | github-code | 6 |
30478183030 | # Flatten a Linked List
class Node:
def __init__(self, head, bottom): # child and down are same
self.head = head
self.next = None
self.bottom = bottom
def flatten(head):
if head is None:
return None
temp = None
tail = head
while tail.next is not None:
tail =... | prabhat-gp/GFG | Linked List/Love Babbar/23_flatten_ll.py | 23_flatten_ll.py | py | 628 | python | en | code | 0 | github-code | 6 |
5560963127 | """ this is a mixture of the best #free twitter sentimentanalysis modules on github.
i took the most usable codes and mixed them into one because all of them
where for a linguistical search not usable and did not show a retweet or a full tweet
no output as csv, only few informations of a tweet, switching la... | CemFFM/Sentimentanalysis | full_equipt_sentimentanalysis .py | full_equipt_sentimentanalysis .py | py | 11,573 | python | en | code | 0 | github-code | 6 |
7759594347 | import os
import sys
from PyQt5.QtWidgets import QFrame, QSizePolicy
def isFloat(s: str):
try:
float(s)
except ValueError:
return False
return True
def isInt(s: str):
try:
int(s)
except ValueError:
return False
return True
def returnFloat(s: str):
try:
... | timhenning1997/Serial-Port-Monitor | UsefulFunctions.py | UsefulFunctions.py | py | 2,539 | python | en | code | 2 | github-code | 6 |
34180911472 | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 29 18:27:58 2020
@author: Kollarlab
"""
# import comtypes
import os
import time
#import subprocess
#import re
import scipy
import pylab
#import tarfile
#import struct
#import glob
import numpy
import time
#import pickle
#import datetime
#import itertools
import sys
... | MRitter95/Kollar-Lab | Old_scripts_delete_20220804/Control/Acqiris_development/CdriverPythonWrapper/Acqiris_testScript_Averagertiming.py | Acqiris_testScript_Averagertiming.py | py | 2,844 | python | en | code | 2 | github-code | 6 |
38053163844 | from django.conf.urls import patterns, include, url
from django.conf.urls.i18n import i18n_patterns
from django.contrib.sitemaps.views import sitemap
from django.contrib.sitemaps import Sitemap
from django.contrib import admin
from django.conf import settings
admin.autodiscover()
urlpatterns = i18n_patterns('',
ur... | norn/bctip | bctip/urls.py | urls.py | py | 1,711 | python | en | code | 13 | github-code | 6 |
19025440782 | import os
import sys
import json
import torch
import traceback
# def returnFalse():
# return False
# torch.cuda.is_available = returnFalse
from scipy.io import wavfile
# from python.speaker_diarization.pipeline.speaker_diarization import SpeakerDiarization
class Diarization(object):
def __init__(self, logge... | DanRuta/xva-trainer | python/speaker_diarization/model.py | model.py | py | 16,869 | python | en | code | 78 | github-code | 6 |
19521291101 | '''
Created on Oct 15, 2011
@author: waxwing
'''
import os, sys, commands
from com.android.monkeyrunner import MonkeyRunner
if __name__ == '__main__':
blacklist = ['main.py', 'monkeytools.py']
monkeys = os.listdir(os.path.abspath(os.path.dirname(sys.argv[0])))
monkeys = filter (lambda m: m[-3:] == '.... | oliver32767/android-tools | monkeys/main.py | main.py | py | 523 | python | en | code | 3 | github-code | 6 |
72009646268 | def shoppingTime(memberId, money):
item = [
{'name': 'Sepatu Stacattu', 'price': 1500000},
{'name': 'Baju Zoro', 'price': 500000},
{'name': 'Baju H&H', 'price': 250000},
{'name': 'Sweater Uniklooh', 'price': 175000},
{'name': 'Casing Handphone', 'price': 50000},
]
if memberId == '':
retur... | iswanulumam/cp-alta | python/6-array-of-dictionary/3-shopping-time.py | 3-shopping-time.py | py | 1,416 | python | en | code | 0 | github-code | 6 |
35910630002 | from typing import Dict
from fastapi import FastAPI
from fastapi.staticfiles import StaticFiles
from app.routers import visualize
app = FastAPI()
app = FastAPI(
title="Model Visualizer",
description="",
version="0.10.0",
)
app.mount("/home/lirakr/repos/rnd-mermaid/app/static", StaticFiles(directory="/... | LirakR/rnd-mermaid | app/main.py | main.py | py | 684 | python | en | code | 0 | github-code | 6 |
21088218856 | from copy import deepcopy
import numpy as np
from action_execution.config_keys import ExecutionConfigKeys
from action_execution.execution_models.model import ExecutionModelBase
from action_execution.geometry.vector import Vector2, Vector3
from action_execution.geometry.pose import Pose3
class FreeSpace(ExecutionModel... | alex-mitrevski/action-execution | action_execution/execution_models/FreeSpace.py | FreeSpace.py | py | 6,572 | python | en | code | 0 | github-code | 6 |
14888013645 |
def readOnly_file():
f = None
try:
f = open('my_write_file','w')
f.write('vb this is the new content .....')
except ValueError:
print('unsupported mode error')
else:
print('data updated .......')
finally:
if f != None:
f.close()
def writeOnly_f... | ekpriya/python-files | pythonworks/file handling/file_using_exception.py | file_using_exception.py | py | 652 | python | en | code | 0 | github-code | 6 |
29214768086 | from django.shortcuts import render
from utils import Word
def home(request):
context = {}
if request.method == "POST":
text = request.POST['text']
context['results'] = Word(text).result()
context['text'] = text
return render(request, 'home.html', context)
| dest81/test-jerry | words_stats/views.py | views.py | py | 296 | python | en | code | 0 | github-code | 6 |
19594690506 | import tkinter
import mysql.connector
from tkinter import *
from tkinter import ttk
from tkinter.ttk import Treeview
from tkinter import messagebox
from PIL import Image, ImageTk
db = mysql.connector.connect(
host="localhost",
user="root",
password="1234",
database="bmh204"
)
mycursor ... | arslncanm/Kulup_otomasyon_Python_tkinter | MAYKOD/main.py | main.py | py | 24,326 | python | en | code | 0 | github-code | 6 |
70264770749 | import subprocess as sp
import pymysql
import pymysql.cursors
import datetime
def search():
try:
# letter = input(First letter)
query = "select H.sport_name from equipment as H where H.quantity in (select max(quantity) from equipment); "
print(query)
cur.execute(query)
con.c... | VanshMarda/Data-and-Application | Project_Phase_4/MiniWorld.py | MiniWorld.py | py | 11,599 | python | en | code | 0 | github-code | 6 |
32741409083 | import math
import numba
import numpy as np
def main():
starts, ends, rdf = np.loadtxt("rdf.dat").T
density = 1200 / 1.0**3
n_bins = len(rdf)
bin_width = ends[0] - starts[0]
corrector = np.zeros(n_bins)
kernel = compute_kernel(rdf, bin_width)
for step in range(100):
corrector = ... | snsinfu/bit5 | test418-ornstein_zernike/oz.py | oz.py | py | 1,377 | python | en | code | 0 | github-code | 6 |
12392640532 | # Complete the countInversions function below.
def countInversions(arr):
# arr is empty or null
if not arr:
return arr
# arr is one element
if len(arr) == 1:
return arr
left, right = 0, len(arr) - 1
return merge_sort(arr, left, right)
def merge_sort(arr, left, right):
inv... | jintang413/hackerrank | src/countinginversions.py | countinginversions.py | py | 1,445 | python | en | code | 0 | github-code | 6 |
3648010096 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="waterstructureCreator",
version="0.0.1",
author="Nicolas G. Hoermann",
author_email="hoermann@fhi.mpg.de",
description=
"Creation of water structures on substrates",
long_descripti... | computationalelectrochemistrygroup/WaterStructureCreator | setup.py | setup.py | py | 868 | python | en | code | 3 | github-code | 6 |
71066784189 | from collections import defaultdict
from copy import copy, deepcopy
from dataclasses import dataclass
from datetime import datetime, timedelta
from enum import Enum, auto, IntEnum
from typing import List, Tuple, Dict, Optional, Any
from dictdiffer import diff
from blaseball_mike.chronicler import get_entities
from Ch... | beiju/blaseball-player-changes | v1/Players.py | Players.py | py | 9,476 | python | en | code | 0 | github-code | 6 |
6701762608 | import discord
from discord.ext import commands
class HostPlugin(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.command()
async def host(self, ctx):
await ctx.send("What is the time of the flight?")
flight_time = await self.bot.wait_for('message', check=lambda m: ... | MayyCookie/swissannc | flighta 2.py | flighta 2.py | py | 822 | python | en | code | 0 | github-code | 6 |
43133183051 | #!/usr/bin/python
#encoding=utf-8
#@author:liangyunge@baidu.com
#@version:1.0
#@desc:Spider日志模块
#@date:2012-11-23
from ConfParser import confparser
from sys import _getframe
from time import strftime
import os
#支持debug,notice,warning三个日志级别
class slogger:
def __init__(self):
pass
@staticmethod
def warning(loginf... | ygliang2009/pysearch | SLogger.py | SLogger.py | py | 3,955 | python | en | code | 1 | github-code | 6 |
36021786185 | import matplotlib.pyplot as plt;
import numpy as np;
data = np.loadtxt('jV_steady.dat', skiprows=1);
ref = np.loadtxt('G0610_cell3/1suns.dat', skiprows=3);
V_steady = data[:,0];
J_steady = data[:,1];
V_ref = ref[:,0];
J_ref = ref[:,1]*(-10);
V_steady += 0.0;
J_steady += 0;
# Plot all results
plt.figure(num=None, f... | dglowienka/drift-diffusion_mini-modules | Spatial/JV_with_ref.py | JV_with_ref.py | py | 563 | python | en | code | 0 | github-code | 6 |
24430769754 | import numpy as np
from numpy.linalg import *
dist = np.array([228.52, 440.12]) # distance tube
longH = np.array([172, 383.60]) # longueur tube horizontal
longA = np.array([192.37, 436.71]) # longueur tube vertical
dDist = dist[1] - dist[0]
dLongH = longH[1] - longH[0]
dLongA = longA[1] - longA[0]
print('dDist... | Sim0nD3p/PySM | layout/central/storeOverview/storeViewerWidget/script.py | script.py | py | 498 | python | en | code | 0 | github-code | 6 |
13000612743 | import os
import time
import numpy as np
import torch
import cv2
import subprocess
import argparse
from PIL import Image, ImageDraw
from facenet_pytorch import MTCNN
from optical_flow import OpticalFlowTracker
parser = argparse.ArgumentParser(description='Face tracking using Optical Flow.')
parser.add_argument('--inpu... | nishadi930313/Labmate | face_tracking.py | face_tracking.py | py | 5,042 | python | en | code | 0 | github-code | 6 |
20416367196 | #coding: utf-8
#Autor: Fernanda Bezerra
vet_vu = []
vet_qnt = []
vet_vt = []
cont_ov = 0
for i in range(0,3):
vu = float(input("Digite o valor unitário do produto:"))
qnt = int(input("Digite a quantidade vendida do produto:"))
vt = vu*qnt
vet_vu.append(vu)
vet_qnt.append(qnt)
vet_vt.append(vt)
vt = 0
for i in ra... | nandabezerran/programming-fundamentals | Ex - LT/Ex - LT - Vetores/LT-Vet-02.py | LT-Vet-02.py | py | 603 | python | pt | code | 0 | github-code | 6 |
73227662588 | import pandas as pd
import imp
import QR_Code_VCard_WC_copy
import imp
from tkinter import *
from tkinter.ttk import *
from tkinter.filedialog import askopenfile
import time
import os
from pathlib import Path
global current_path
current_path=Path.cwd()
def open_file():
global file_path
file_... | JonJones98/Virtual-Business-Card-Generator | 06_Scripts/Excel_connection_csv.py | Excel_connection_csv.py | py | 3,698 | python | en | code | 0 | github-code | 6 |
24929837495 | import minimax
import time
import sys
class TicTacToe():
''' This is a tic tac toe game class. It holds most of the methods
that will manipulate the game board such as: player_turn and computer_turn '''
def __init__(self, player_char = None, player2_char = None):
self.puzzle = [[" ", " ", " "],
... | noah415/tic-tac-toe | TicTacToe.py | TicTacToe.py | py | 5,548 | python | en | code | 0 | github-code | 6 |
75070674748 | #! /usr/bin/env python3
import json
def find_if (pred, collection):
try:
return next(filter(pred, collection))
except StopIteration:
return None
class Transition:
def __init__ (self, initial_state_name):
self.initial = initial_state_name
self.states = []
self.current = self.initial
def regist_state (s... | SPNSPN/state-json | py/transition.py | transition.py | py | 4,337 | python | en | code | 0 | github-code | 6 |
27247441921 | revision = '4160ccb58402'
down_revision = None
branch_labels = None
depends_on = None
import json
import os
from alembic import op
import sqlalchemy as sa
from sqlalchemy.sql import table, column
sections = {
'update_authorized_keys': 'local',
'authorized_keys_file': 'local',
'githome_executable': 'loca... | mbr/githome | alembic/versions/4160ccb58402_update_from_previous_version.py | 4160ccb58402_update_from_previous_version.py | py | 2,292 | python | en | code | 2 | github-code | 6 |
4630502954 | import tkinter as Tk
from math import floor
import numpy as np
from PIL import Image,ImageTk
## ---------------------- ##
##| CLASSES |##
## ---------------------- ##
class Texture:
def __init__(self,path):
self._img = Tk.PhotoImage(file=path)
def getImg(self): return self._img
class Textu... | MaximePerriquet/PyCraft | rendering.py | rendering.py | py | 10,623 | python | en | code | 0 | github-code | 6 |
36643660386 | # -*- coding: utf-8 -*-
"""
@author: QgZhan
@contact: zhanqg@foxmail.com
@file: cifar.py
@time: 2022/4/19 11:19
"""
import os
from torch.utils.data import Dataset
from dataloader.dataloader_utils import *
from torchvision import datasets, transforms
from spikingjelly.datasets import cifar10_dvs
from torch... | rtao499/SAANet | dataloader/cifar.py | cifar.py | py | 10,609 | python | en | code | 2 | github-code | 6 |
30471382710 | from tkinter import *
from csv import *
import mainn
import orderr
class login_screen:
b = 0
def getEntry(self):
details_list = []
def openorder():
self.root7.destroy()
o=orderr.orderscr()
o.ord()
#csv file
with... | prithiknataraj/OOPS-Laundry_Service | OOPS Laundry Service/loginscreen.py | loginscreen.py | py | 2,596 | python | en | code | 0 | github-code | 6 |
42631511615 | #!/usr/bin/env python3
# Program to implement tweet classification
import nltk
import re
import sys
from collections import Counter
import pandas as pd
nltk.download('punkt')
# Read files
train_file = sys.argv[1]
test_file = sys.argv[2]
output_file = sys.argv[3]
train = open(train_file, 'r', errors='ignore').read()... | tanvi5/Games-and-Bayes | part2/geolocate.py | geolocate.py | py | 5,766 | python | en | code | 0 | github-code | 6 |
14400330096 | #!/usr/bin/env python3.8
"""
given a string return list of all the possible permutations of the string and count of possible permutations
"""
count = 0
list = []
def permutation(string,prefix):
global count
if len(string)==0:
count += 1
list.append(prefix)
else:
for i in range(len(string)):
permutation(s... | dnootana/Python | Interview/string_permutation.py | string_permutation.py | py | 682 | python | en | code | 0 | github-code | 6 |
7306633247 | import torch
from tqdm import tqdm
import torch.nn as nn
import torch.optim as optim
import torchvision.transforms as transforms
from torch.utils.tensorboard import SummaryWriter
from data_loader import get_loader
from CNNtoRNN import CNNtoRNN
def train():
transform = transforms.Compose(
[
tra... | KarstenKu-Hub/ImageCaptioning | train.py | train.py | py | 2,050 | python | en | code | 0 | github-code | 6 |
25868835750 | dan = {'name': 'Dan',
'age': 27,
'city': 'Madison',
'state': 'WI'}
pierce = {'name': 'Pierce',
'city': 'Madison',
'state': 'WI'}
def print_location(user):
if 'name' not in user:
raise ValueError('user must have name')
if 'city' not in user:
raise Value... | madison-python/decorators-and-descriptors | decorator2.py | decorator2.py | py | 944 | python | en | code | 0 | github-code | 6 |
75204308988 | print('''Various Array Operations
1. Linear Search
2. Binary Search
3. Lowest Number
4. Selection Sort
Press any other key to exit''')
def create_array():
L = [int(input('Enter element ')) for I in range(int(input('Enter size ')))]
print(L)
return L
def low(L):
print(f'Lowest no : {min(L... | CS-ION/Class-12-Practicals | Practicals/20.py | 20.py | py | 1,600 | python | en | code | 0 | github-code | 6 |
75163131066 | import pprint, random, datetime
class Cliente():
_nomes = ['ERIC RUIZ', 'ROBERTA DE LIMA', 'DEIVIDI SCALZAVARA', 'ADOLFO NETO', 'JOSE MONESTEL', 'WAGNER CORREIA', 'JACEGUAY ZUKOSKI', 'MICHEL SOUZA', 'MAYRA RODRIGUES', 'MICHEL DUARTE', 'MARCIO FOSSA', 'MARCEL BORNANCIN', 'ELOISA PERIN', 'TIAGO WIPPEL', 'LUCAS FISCH... | e-ruiz/big-data | 01-NoSQL/atividade-03/big_data_atividade_3.py | big_data_atividade_3.py | py | 7,003 | python | pt | code | 1 | github-code | 6 |
28905652001 | xyxyAreaFill = [1115, 830, 1670, 1375] #[x1, y1, x2, y2] where xy1=top-left, xy2=bottom-right
xywhAreaFill = xyxyAreaFill #[x1, y1, x2, y2] where xy1=top-left, xy2=bottom-right
xywhAreaFill[0] = xyxyAreaFill[0] #x top-left
xywhAreaFill[1] = xyxyAreaFill[1] #y top-left
xywhAreaFill[2] = xyxyAreaFill[2]-xyxyAreaF... | benediktusbryan/Box-in-Area-Detection-System-with-AI | coba.py | coba.py | py | 707 | python | en | code | 0 | github-code | 6 |
21211275641 | def mySolution():
n = 4
storage = [1, 5, 10, 100]
# 1 10 100
# 1 5 10 100
sum1, sum2 = 0, 0
for i in range(len(storage)):
if i % 2 == 0:
sum2 += storage[i]
else:
sum1 += storage[i]
print(max(sum1, sum2))
def dp():
n = int(input())
arr = list... | kimkimj/Algorithm | python/DP/foodStorage.py | foodStorage.py | py | 514 | python | en | code | 0 | github-code | 6 |
73947121148 | # utf-8
from random import randint
def teste_de_miller(p, b):
"""p>2 ímpar e b inteiro tal que b != 0 em IZ_p
Retorno
-------
True se p é composto
False se teste inconclusivo
Exemplos
--------
>>> teste_de_miller(27, 2)
True
>>> teste_de_miller(25, 7)
False
>>... | d-nct/cripto-python | miller_rabin.py | miller_rabin.py | py | 1,728 | python | pt | code | 0 | github-code | 6 |
7259480306 | import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import cv2
import sys
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
self.fc1 = nn.Linear(6,200)
self.fc2 = nn.Linear(200,100)
self.fc3 = nn.Linear(100,50)
... | asbudhkar/Hand-Detector-with-Pose-Estimation | train.py | train.py | py | 2,462 | python | en | code | 0 | github-code | 6 |
13933582750 | from django import forms
from .models import TodoList
class TodoListForm(forms.ModelForm):
class Meta:
model = TodoList
fields = ['task_title', 'task_description', 'task_status']
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.fields['task_title'].wi... | priyanka-infobeans/infoToDoList | infobeans_todolist/todolist_app/forms.py | forms.py | py | 451 | python | en | code | 0 | github-code | 6 |
35914161974 | class Solution:
"""
@param nums: the given array
@return: the minimum difference between their sums
"""
def findMin(self, nums: list) -> int:
sum_of_nums = sum(nums)
m = sum_of_nums // 2
n = len(nums)
dp = [0] * (m + 1)
for i in range(1, n + 1):
f... | Super262/LintCodeSolutions | algorithms/dp/problem0724.py | problem0724.py | py | 517 | python | en | code | 1 | github-code | 6 |
20160930177 | from django.urls import path
from web import views
app_name ="web"
urlpatterns = [
path('',views.index,name="index"),
path("create/",views.create_product,name="create_product"),
path('deleted/<int:id>/',views.deleted_product,name="deleted_product"),
path('edit/<int:id>/',views.edit_product,name="ed... | Aswathy-G/advanceddjango-project | web/urls.py | urls.py | py | 389 | python | en | code | 0 | github-code | 6 |
5962356858 | from aoc_helpers.perf_helpers import *
from aoc_helpers.input_helpers import *
from collections import defaultdict
from collections import Counter
import string
import time
import numpy as np
import matplotlib.pyplot as plt
from scipy.spatial import Voronoi, voronoi_plot_2d
from scipy.spatial import cKDTree
def Poly... | colejd/AdventOfCode2018 | day_06/day6part1_borked.py | day6part1_borked.py | py | 3,325 | python | en | code | 0 | github-code | 6 |
28513937002 | #usr/bin/python3.8
# 读和写文件
# open() 将会返回一个 file 对象，基本语法格式如下:
# open(filename, mode)
# filename：包含了你要访问的文件名称的字符串值。
# mode：决定了打开文件的模式：只读，写入，追加等。所有可取值见如下的完全列表。这个参数是非强制的，默认文件访问模式为只读(r)。
# 打开一个文件
f = open("/tmp/foo.txt", "w")
f.write( "Python 是一个非常好的语言。\n是的，的确非常好!!\n" )
f.close()
f = open("/tmp/foo.txt", "r")
str = f.r... | BeiGuoDeXue/python | 15、输入输出/read_write_file.py | read_write_file.py | py | 618 | python | zh | code | 0 | github-code | 6 |
14755463895 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
# ==========================Core Module================================
class conv_block(nn.Module):
def __init__(self, ch_in, ch_out):
super(conv_block, self).__init__()
self.conv = nn.Sequential(
... | ikkbic/My-Repositories | segmentionn_models_trans/UNet-1.py | UNet-1.py | py | 3,430 | python | en | code | 0 | github-code | 6 |
30729211140 | import threading
from random import randint
import pika
import time
from src.klein_queue.errors import KleinQueueError
from src.klein_queue.rabbitmq.publisher import Publisher
from src.klein_queue.rabbitmq.consumer import Consumer
from klein_config.config import EnvironmentAwareConfig
test_config = {
"rabbitmq": {... | mdcatapult/py-queue | tests/rabbitmq/test_consumer.py | test_consumer.py | py | 17,024 | python | en | code | 0 | github-code | 6 |
5092513077 | # For taking integer inputs.
import math
def inp():
return(int(input()))
# For taking List inputs.
def inlist():
return(list(map(int, input().split())))
# For taking string inputs. Actually it returns a List of Characters, instead of a string, which is easier to use in Python, because in Python, Strings a... | sudiptob2/atcoder-training | Medium 100/12.Grid Compression.py | 12.Grid Compression.py | py | 1,015 | python | en | code | 2 | github-code | 6 |
355842723 | from __future__ import unicode_literals
import frappe
from frappe import _
from frappe.model.document import Document
class HakCuti(Document):
def fill_employee_details(employees):
return frappe.db.sql('''
select
t1.name as employee, t1.employee_name
from
`tabEmployee` t1, `tabSalary Structure Employ... | bawaaaang/absensi | absensi/absensi/doctype/hak_cuti/hak_cuti.py | hak_cuti.py | py | 460 | python | en | code | 0 | github-code | 6 |
13703480148 | # buttontest
# create at 2015/6/15
# autor: qianqians
import sys
sys.path.append('../../')
from plask import *
import json
def test():
app = plaskapp('0.0.0.0', 5000)
p = pypage('edittest', 'http://127.0.0.1:5000/', pyhtmlstyle.margin_left)
p.add_page_route('/')
e = pyedit('edit', pyedit.text, pyhtmlstyle.margin_... | theDarkForce/plask | test/login/logintest.py | logintest.py | py | 1,172 | python | en | code | 2 | github-code | 6 |
11728318125 | import numpy as np
from tabulate import tabulate
from clustering.external_evaluation import calculate_purity
from clustering.k_means import KMeans
from data_preparation.inverted_index import InvertedIndex
from data_preparation.pre_processing import parse_corpus, pre_process_corpus
corpus, y_true, titles = parse_corpu... | nzabdelke/News-Clustering | main.py | main.py | py | 3,536 | python | en | code | 0 | github-code | 6 |
71969293949 | import argparse
import logging
from common import _utils
def main(argv=None):
parser = argparse.ArgumentParser(description='ML Trainer')
parser.add_argument('--project', type=str, help='Google Cloud project ID to use.')
parser.add_argument('--region', type=str, help='Which zone to run the analyzer.')
parser.... | kubeflow/kfp-tekton-backend | components/deprecated/dataproc/train/src/train.py | train.py | py | 1,939 | python | en | code | 8 | github-code | 6 |
3919530622 | # standard python
import base64
import bz2
import datetime
import json
import multiprocessing
import optparse
import os
import re
import socket
import sys
import time
import urllib.parse
import urllib.request
# custom browser driver
from webxray.ChromeDriver import ChromeDriver
class Client:
def __init__(self, serve... | thezedwards/webXray | webxray/Client.py | Client.py | py | 4,988 | python | en | code | 1 | github-code | 6 |
36185365035 | '''
Ahmad Abu Hanifah
A1C020026
Teknik Otomasi Pertanaian
'''
import numpy as np
import matplotlib.pyplot as plt
dOsp = 6.5
vmin = 0 # kecepatan aliran udara (L/s)
vmax = 2 # kecepatan aliran udara (L/s)
V = 1000000 #Volume sistem (L)
kLa = 0.045 # per menit
n = 4 # Jumlah aerator
# a = 0.4 # Luas permukaan antarmuka... | AbuHanifah1878/Teknik_Otomasi_Pertanian | KontrolDOOnOff.py | KontrolDOOnOff.py | py | 1,349 | python | en | code | 0 | github-code | 6 |
27089285988 | import sys
import json
unique = {}
start = ['a','f','l','q','u']
end = ['e','k','p','t','z']
if(len(sys.argv) != 4):
print("========================================================================================================")
print("SORRY!! Please provide the path to the INPUT json file, the OUTPUT file... | STEELISI/Venmo | Fan_in.py | Fan_in.py | py | 2,106 | python | en | code | 0 | github-code | 6 |
43381026267 | import boto3
def lambda_handler(event, context):
sns = boto3.client('sns')
message = event.get('message', 'Default message')
params = {
'Message': message,
'TopicArn': 'arn:aws:sns:us-east-1:896553604990:LiveScore'
}
try:
response = sns.publish(**params)
message_i... | bayarbayasgalanj/cloud_computing | Project/lambda_function.py | lambda_function.py | py | 512 | python | en | code | 0 | github-code | 6 |
7859721528 | import re
with open('regexps.ini') as fichier:
text = fichier.read()
for line in text.split("\n"):
match = re.match(r"([a-zA-Z]*)\s*=\s*([^;]*[^\s;])", line)
print(match)
if match:
print("Ligne conforme: ", line)
| mercator-ocean/python-notes | exercices/makina/stdlib/regexps_1.py | regexps_1.py | py | 240 | python | en | code | 0 | github-code | 6 |
38959225786 | # Sparse Matrix Representation using lists
def sparseMatrix(sparseMatrix, m, n):
# initialize size as 0
size = 0
for i in range(m):
for j in range(n):
if (sparseMatrix[i][j] != 0):
size += 1
# number of columns in compressMatrix(size) should
# be equal to number of non-zero elements in sparse... | 9Mugen/int108 | sparse_matrix.py | sparse_matrix.py | py | 996 | python | en | code | 0 | github-code | 6 |
18307501302 | import warnings
from copy import deepcopy
from typing import Union, List, Tuple, Dict
import numpy as np
from aequilibrae.matrix import AequilibraeMatrix
from aequilibrae.paths.graph import Graph
from aequilibrae.paths.results import AssignmentResults
class TrafficClass:
"""Traffic class for equilibrium traffic... | AequilibraE/aequilibrae | aequilibrae/paths/traffic_class.py | traffic_class.py | py | 7,635 | python | en | code | 140 | github-code | 6 |
33093309616 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions.categorical import Categorical
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
class Decoder(nn.Module):
''' This class contains the implementation of Decoder Module.
Args:
embedding_dim:... | facebookresearch/UNLU | codes/rnn.py | rnn.py | py | 8,608 | python | en | code | 34 | github-code | 6 |
33526668503 | #Crie um programa que declare uma matriz de dimensão 3×3 e preencha com valores lidos pelo teclado. No final, mostre a matriz na tela, com a formatação correta.
lista_números=[]
i=0
matriz=int(input("Qual a matriz? "))
matriz_1=matriz
for c in range(matriz*matriz):
lista_números.append(float(input("Digite um número... | cauavsb/python | mundo-3-py/ex15.py | ex15.py | py | 509 | python | pt | code | 0 | github-code | 6 |
23361190894 | import os
import numpy as np
from numpy import array, zeros, diag, diagflat, dot
import numpy
from flask import Flask, render_template, request, redirect, url_for
from werkzeug.utils import secure_filename
import copy
from os.path import join, dirname, realpath
UPLOAD_FOLDER = './uploads/'
ALLOWED_EXTENSIONS = set([... | konstantinkonstantinovich/Numerical-Methods-Sprint01- | Sprint01/app.py | app.py | py | 9,328 | python | en | code | 0 | github-code | 6 |
25185578484 | import unittest
import logging
from generative_notch.pipeline.trait_assembler.trait_assembler import flatten_dict, interpolate_instructions
CONFIG = {
'batch_name': 'MyShinyBatch',
'render': {
'width': '1920',
'height': '1080'
}
}
CONTEXT = {
'combination_id': '001'
}
INSTRUCTIONS = [... | thomaswinged/generative-notch | tests/test_trait_assembler.py | test_trait_assembler.py | py | 1,460 | python | en | code | 0 | github-code | 6 |
13895462756 | ########################################################################################
# Module with functions for parametric estimation of GC
########################################################################################
import numpy as np
import scipy.linalg
from .tools import *
def YuleWalker(X, m, ma... | ViniciusLima94/pyGC | pygc/parametric.py | parametric.py | py | 1,814 | python | en | code | 30 | github-code | 6 |
2965742594 | from odoo import http
from odoo.http import request
from odoo.addons.web.controllers.main import ensure_db
import werkzeug
import logging
_logger = logging.getLogger(__name__)
class SimpleUrlController(http.Controller):
@http.route('/redir', type='http', auth="user")
def redirect(self, **args):
ens... | Tawasta/server-tools | base_simple_urls/controllers/simple_urls.py | simple_urls.py | py | 2,344 | python | en | code | 3 | github-code | 6 |
69957260347 | #! /usr/bin/python3
#-*-coding: utf-8-*-
def add_rxn(name, D_mets, model, rev=True): # this function would be defined to add reactions to the model
r_name = name
r_obj = cobra.Reaction(rname)
r_obj.name = r_name
r_obj.id = r_name
model.add_reaction(r_obj)
r_obj.add_metabolites(D_mets)
r_obj... | chloea31/AraCore | src/init_fba/manipulate_model.py | manipulate_model.py | py | 1,639 | python | en | code | 0 | github-code | 6 |
73734292027 | import json
import os
from account import Account
home_path = os.getenv("HOME")
config = json.load(open(os.path.join(home_path, ".config", "revChatGPT", "config.json")))
cache = json.load(open(os.path.join(home_path, ".cache", "revChatGPT", "config.json")))
# 从配置读取 token
session_token = config['accounts'][0]['sessio... | fkxxyz/rev-chatgpt-web | test.py | test.py | py | 662 | python | en | code | 0 | github-code | 6 |
1245466067 | import pandas as pd
from absplice.utils import get_abs_max_rows
def variant_to_string(df):
chrom = str(df['#Chrom'])
if 'chr' not in chrom:
chrom = 'chr' + chrom
return chrom + ':' + str(df['Pos']) + ':' + df['Ref'] + '>' + df['Alt']
df_pred = pd.read_csv(snakemake.input['model'], sep='\t', skipro... | gagneurlab/AbSplice_analysis | workflow/scripts/common/splicing_result/postprocess_preds/cadd_splice.py | cadd_splice.py | py | 972 | python | en | code | 0 | github-code | 6 |
16010028786 | from random import random
import toga
from colosseum import CSS
def build(app):
data = []
for x in range(5):
data.append([str(x) for x in range(5)])
label = toga.Label('No row selected.')
def selection_handler(widget, row):
label.text = 'You selected row: {}'.format(row) if row is n... | Ocupe/toga_test_app_collection | table/table/app.py | app.py | py | 1,513 | python | en | code | 0 | github-code | 6 |
17516466448 | import torch
from torch import nn
__all__ = [
'_CONV_DICT',
'_CONV_TRANS_DICT',
'_AVG_POOL_DICT',
'_MAX_POOL_DICT',
'_NORM_DICT',
'_REFLECTION_PAD_DICT',
'_CENTER_CROP_DICT',
'_ACTIVATION_DICT',
'activation_from_str'
]
def center_crop_1d(layer: torch.Tensor, target: torch.Tensor) -... | broadinstitute/CellMincer | cellmincer/models/components/functions.py | functions.py | py | 2,557 | python | en | code | 1 | github-code | 6 |
8463884764 | from django.utils import timezone
from rest_framework import status
from rest_framework.generics import CreateAPIView, RetrieveUpdateDestroyAPIView
from rest_framework.response import Response
from rest_framework.views import APIView
from logistics.models import Logistic, LogisticRate
from receivers.models import Rece... | Duade10/ditosell-api | orders/views.py | views.py | py | 4,947 | python | en | code | 0 | github-code | 6 |
32172334196 | def fix_quotes(text: str) -> str:
"""
将文本中的全角引号左右互换的问题修正.
e.g.
”...“ -> “...”
"""
lst = 0
out = []
while True:
lq = min(text.find("“", lst), text.find("”", lst))
if lq == -1:
break
rq = min(text.find("“", lq + 1), text.find("”", lq + 1))
i... | byronwanbl/pdf-comb | fix_quotes.py | fix_quotes.py | py | 843 | python | en | code | 1 | github-code | 6 |
42812438276 | from __future__ import print_function
import numpy as np
from skimage import io
from tqdm import tqdm
import argparse
import os
from config import palette, invert_palette
def convert_to_color(arr_2d, palette=palette):
""" grayscale labels to RGB-color encoding """
arr_3d = np.zeros((arr_2d.shape[0], arr_2d.sh... | nshaud/DeepNetsForEO | legacy/notebooks/convert_gt.py | convert_gt.py | py | 2,413 | python | en | code | 468 | github-code | 6 |
37962588904 | import socket
class Topic:
def __init__(self, host="byond.oraclestation.com", port=5000, key="default_pwd"):
self.host = host
self.port = port
self.key = key
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM, proto=socket.IPPROTO_TCP)
sock.connect((self.hos... | OracleStation/PySS13Bot | Topic.py | Topic.py | py | 1,125 | python | en | code | 1 | github-code | 6 |
37123499778 | import nltk
from Model.Model import Model
from View.View import View
from docx import Document
from datetime import datetime
from classes.Document import MyDocument
import os
import string
import pymorphy2
from tkinter import filedialog
from tkinter import messagebox
import tkinter as tk
from matplotlib.figure import F... | F1linnn/info-search-system | Controller/Controller.py | Controller.py | py | 14,983 | python | en | code | 0 | github-code | 6 |
15837575627 | # -*- coding: utf-8 -*-
# @Time : 2022/6/17 15:05
# @Author : renyumeng
# @Email : 2035328756@qq.com
# @File : Solve.py
# @Project : ProbabilityTheoryAndMathematicalStatisticsExperiments
import numpy as np
import scipy.stats as sts
class Solve:
def __init__(self, N) -> None:
self.n: int = N
self._... | renyumeng1/ProbabilityTheoryAndMathematicalStatisticsExperiments | firstExper/第三题/Solve.py | Solve.py | py | 1,551 | python | en | code | 1 | github-code | 6 |
42493210531 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Nov 13 13:15:49 2018
@author: michal
"""
import networkx as nx
from copy import deepcopy
#import numpy as np
from solution import Solution
from random import sample
class PublicationMatcher:
def primitiveMaxPointsOfRest(self, publications):
... | chemiczny/pubMatch | pubMatch/publicationMatcher.py | publicationMatcher.py | py | 13,317 | python | en | code | 0 | github-code | 6 |
35292064506 | import pandas as pd
import datetime
import pickle
import numpy as np
from sklearn.linear_model import SGDRegressor
from sklearn.preprocessing import OneHotEncoder
from sklearn.preprocessing import StandardScaler
from sklearn.externals import joblib
import random
# Codes des compagnies aériennes et l'équivalent du cod... | makboulhoussen/flightdelay | web-interface/webdelay/delayapi/flightDelayPred.py | flightDelayPred.py | py | 7,291 | python | en | code | 0 | github-code | 6 |
73474178748 | from fastapi import APIRouter, Depends, FastAPI
from src.dependencies.auth import firebase_authentication
from src.routes.audios import views as audios_views
from src.routes.auth import views as auth_views
from src.routes.users import views as users_views
api_router = APIRouter()
api_router.include_router(auth_views.... | CrowdsourcingApps/Crowdsourcing-Ayat | src/routes/__init__.py | __init__.py | py | 846 | python | en | code | 2 | github-code | 6 |
32469363998 | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def helper(self, l, r):
if l > r: return None
max_idx = l
for i in range(l,... | MdAbedin/leetcode | 0601 - 0700/0654 Maximum Binary Tree.py | 0654 Maximum Binary Tree.py | py | 673 | python | en | code | 7 | github-code | 6 |
3476194370 | from collections.abc import MutableMapping
from collections.abc import MutableSequence
from dpath import options
from dpath.exceptions import InvalidKeyName
import dpath.segments
_DEFAULT_SENTINAL = object()
MERGE_REPLACE = (1 << 1)
MERGE_ADDITIVE = (1 << 2)
MERGE_TYPESAFE = (1 << 3)
def __safe_path__(path, separato... | gshanko125298/Prompt-Engineering-In-context-learning-with-GPT-3-and-LLMs | myenve/Lib/site-packages/dpath/util.py | util.py | py | 12,695 | python | en | code | 3 | github-code | 6 |
30061421331 | from bs4 import BeautifulSoup
import requests
import json
HEADING_ORDER = [
"defensePhysical",
"defensePhysicalStrike",
"defensePhysicalSlash",
"defensePhysicalPierce",
"defenseMagic",
"defenseFire",
"defenseLightning",
"defenseHoly",
"immunity",
"robustness",
"focus",
"... | lewisc64/Elden-Ring-Poise-Optimizer | data/sources/wiki/scrape_wiki.py | scrape_wiki.py | py | 2,230 | python | en | code | 0 | github-code | 6 |
73727858748 | #!/usr/bin/env python3
import argparse
import boutvecma
import easyvvuq as uq
import chaospy
import os
import numpy as np
import time
import matplotlib.pyplot as plt
CAMPAIGN_NAME = "Conduction."
def refine_sampling_plan(campaign, analysis, number_of_refinements):
"""
Refine the sampling plan.
Paramet... | boutproject/VECMA-hackathon | workflows/sc_adaptive_restartable/example_restartable_sc_adaptive.py | example_restartable_sc_adaptive.py | py | 8,019 | python | en | code | 2 | github-code | 6 |
41675773440 | # 적록색약
import sys
sys.setrecursionlimit(1000000)
input = sys.stdin.readline
N = int(input())
area1 = []
area2 = []
for _ in range(N):
lst1 = []
lst2 = []
for s in list(input().strip()):
lst1.append(s)
if s == "G":
lst2.append("R")
else:
lst2.append(s)
... | jisupark123/Python-Coding-Test | 알쓰/week4/10026.py | 10026.py | py | 1,597 | python | en | code | 1 | github-code | 6 |
11948500012 | # takes an input file and output file
# input file is a Gcal in csv format
# output file: add 2 commas beggining of line if there are no commas in the line
import os, sys
inputFile = open(sys.argv[1], "rt")
outFile = open(sys.argv[2], "wt")
for line in inputFile:
if line.count(",") == 0:
strName = line.s... | umabot/pyCleanGcal | addCommas.py | addCommas.py | py | 444 | python | en | code | 1 | github-code | 6 |
71608494589 | # coding=utf-8
import logging
from datetime import datetime
import markupsafe
from playhouse.shortcuts import dict_to_model, model_to_dict
from app import components
from app.notes.model import Note, TaggedNote
from app.tags import tagService
from app.categories import categoryService
class NoteService(components.... | caiwan/cai-notepad | backend/app/notes/__init__.py | __init__.py | py | 3,356 | python | en | code | 6 | github-code | 6 |
31569984020 | # normal libraries
from inspect import signature # used in the method eval of the class
import numpy as np
import scipy.stats # functions of statistics
# other files
from corai_error import Error_type_setter
from scipy.integrate import simps
# my libraries
np.random.seed(124)
# section ############... | Code-Cornelius/ITiDeEP | src/hawkes/kernel.py | kernel.py | py | 7,949 | python | en | code | 0 | github-code | 6 |
39434532575 | from collections import Counter
import zarr
from fastai.tabular.all import *
from fastai.data.all import *
from fastai.vision.gan import *
from fastai import *
from tsai.all import *
from torch import nn
import numpy as np
import seaborn as sns
import matplotlib.colors as mcolors
import matplotlib.pyplot as plt
import... | numediart/xAAEnet | main.py | main.py | py | 9,638 | python | en | code | 1 | github-code | 6 |
855878754 | #!/usr/bin/env python
# This example shows how to extract portions of an unstructured grid
# using vtkExtractUnstructuredGrid. vtkConnectivityFilter is also used
# to extract connected components.
#
# The data found here represents a blow molding process. Blow molding
# requires a mold and parison (hot, viscous plasti... | VisTrails/VisTrails | examples/vtk_examples/VisualizationAlgorithms/ExtractUGrid.py | ExtractUGrid.py | py | 3,366 | python | en | code | 100 | github-code | 6 |
25329151854 | import numpy as np
def sigmoid(x):
return 1.0 / (1.0 + np.exp(-x))
def sigmoid_prime(y_hat):
return y_hat * (1 - y_hat)
class Perceptron:
"""Perceptron implements a simple perceptron cell."""
def __init__(self, inputs):
self.weights = np.random.randn(1, inputs)
self.bias = 0
... | spy16/snowman | scripts/percep.py | percep.py | py | 1,414 | python | en | code | 1 | github-code | 6 |
72497450429 | from bs4 import BeautifulSoup
import requests, os
#Configuration Variables
search_refs = True
build_path = "API"
API_URL = "https://pythonapi.upbge.org/"
#Further addons
headers = {"bge" + os.sep + "types.py" : """
import mathutils
inf = 0
class CListValue:
def __init__(self, ctype):
self.__ret__ = ctype... | elmeunick9/UPBGE-CommunityAddon | documentation/BGEMockGen/make.py | make.py | py | 14,473 | python | en | code | 6 | github-code | 6 |
33126999128 |
from sklearn.model_selection import train_test_split
from src.config import config
from mindspore import Tensor
import mindspore
class ModelDataProcessor:
def __init__(self):
self.get_dict()
def get_dict(self):
self.word_dict = {}
with open(config.vocab_file, 'r') as f:
c... | Xie-Minghui/DPCNN_MS0 | src/data_loader.py | data_loader.py | py | 3,040 | python | en | code | 1 | github-code | 6 |
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