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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
23667141606 |
import math
class Node:
def __init__(self, value=None, next=None,skip_next=None,term_frequency=0,tf_idf=0.0):
""" Class to define the structure of each node in a linked list (postings list).
Value: document id, Next: Pointer to the next node
Add more parameters if needed.
... | lbodapat/Search_Engine_Indexing_Query_Retrieval | linkedlist.py | linkedlist.py | py | 5,845 | python | en | code | 0 | github-code | 90 |
33597117897 | from Labs.Lab06_MVC.lab06_AnsMvc.model.degree_minutes_seconds import degree_minutes_seconds
def format_location(location):
"""
Функция возвращает строку с информацией о локации
в виде широты и долготы
:param location: (iterable): географические координаты
местоположения. Первый элемент итерации - ... | ASPRTK/ITMO | Course.Python/Labs/Lab06_MVC/lab06_AnsMvc/model/format_location.py | format_location.py | py | 1,227 | python | ru | code | 0 | github-code | 90 |
41293396279 | N, M = list(map(int, input().split()))
line_w = []
line_b = []
graph = []
graph_w = []
graph_b = []
for i in range(8):
if i % 2 == 0:
line_w.append('W')
line_b.append('B')
else:
line_b.append('W')
line_w.append('B')
for i in range(8):
if i % 2 == 0:
graph_w.append(... | du2lee/BOJ | BOJ/python/1018.py | 1018.py | py | 2,101 | python | en | code | 3 | github-code | 90 |
8209172362 | import math
import numpy as np
import pygame.draw
from sim.settings import BLUE
from sim.noodle import Noodle
from sim.food import Food
from sim.helpers import circularize, fill_pie
# Pred is a child of Creature class, with additional health and smart predator attributes
class Pred(Noodle):
# initialize pred ... | ggdurrant/EvoNoodles | sim/pred.py | pred.py | py | 1,262 | python | en | code | 0 | github-code | 90 |
73251343977 | import sys
import requests
from jnpr.junos.device import Device
####################################
# UDFs #
####################################
# Get the hostname of the device
def get_hostname(**kwargs):
device_info = get_device_info_healthbot(**kwargs)
return device_info['fa... | Juniper/healthbot-rules | juniper_official/System/generic_functions.py | generic_functions.py | py | 11,697 | python | en | code | 41 | github-code | 90 |
18455629839 | from collections import defaultdict
import heapq
N,K=map(int,input().split())
hq=[]
tset_all=set()
for i in range(N):
t,d=map(int,input().split())
heapq.heappush(hq,(-d,t))
tset_all.add(t)
#print(heapq)
hq_K=[]
dsum=0
tdic=defaultdict(int)
for i in range(K):
md,t=heapq.heappop(hq)
heapq.heappush(hq_K,((-md,... | Aasthaengg/IBMdataset | Python_codes/p03148/s000229899.py | s000229899.py | py | 847 | python | en | code | 0 | github-code | 90 |
18372522289 | N = int(input())
A = list(map(int,input().split()))
S = sum(A)
damu_sum = sum(A[1::2])
ans = S - 2 * (damu_sum)
ans_list = [ans]
for i in range(N-1):
ans = 2 * A[i] - ans
ans_list.append(ans)
print(*ans_list) | Aasthaengg/IBMdataset | Python_codes/p02984/s016009366.py | s016009366.py | py | 219 | python | en | code | 0 | github-code | 90 |
71789653418 | #!/usr/bin/env python3
import itertools
import curses
from enum import Enum
from collections import defaultdict
class Tiles(Enum):
EMPTY = 0
WALL = 1
BLOCK = 2
PADDLE = 3
BALL = 4
def getTexture(self):
textures = {
0: "",
1: "|",
2: "█",
... | alu-/advent-of-code-2019 | intcode/screen.py | screen.py | py | 4,067 | python | en | code | 0 | github-code | 90 |
21246789823 | """Models for Cupcake app."""
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
DEFAULT_CUPCAKE_URL = 'https://tinyurl.com/demo-cupcake'
class Cupcake(db.Model):
"""Cupcake."""
__tablename__ = "cupcakes"
id = db.Column(
db.Integer,
primary_key=True,
autoincrement=True
... | jasjoh/flask-cupcakes | models.py | models.py | py | 1,074 | python | en | code | 0 | github-code | 90 |
17622316108 | #!/usr/bin/python3
"""
Export to json
"""
import json
import requests
import sys
def create_json_file(employee_id):
"""
Create a json file with all tasks from all employees
"""
base_url = "https://jsonplaceholder.typicode.com/"
res = requests.get(base_url + "users/{}".format(employee_id)).json()
... | Grace-ngigi/alx-system_engineering-devops | 0x15-api/2-export_to_JSON.py | 2-export_to_JSON.py | py | 912 | python | en | code | 0 | github-code | 90 |
10966169421 | #!/usr/bin/env python3
from lib import prime
ways = [0]*11
for i in range(10):
if prime(i):
ways[i] = 1
else:
ways[i] = 0
for j in range(i):
if prime(i-j):
ways[i] += ways[j]
print(ways) | martinmongi/project_euler | 77.py | 77.py | py | 202 | python | en | code | 1 | github-code | 90 |
17963362529 | import collections
n=int(input())
a=list(map(int,input().split()))
c = collections.Counter(a)
b=[0,0]
d=[0,0]
for i in c:
if c[i]>=4:
b.append(i)
elif c[i]>=2:
d.append(i)
b.sort(reverse=True)
d.sort(reverse=True)
if b[0]>d[0]:
print(b[0]*b[0])
elif b[0]<d[1]:
print(d[0]*d[1])
else:
... | Aasthaengg/IBMdataset | Python_codes/p03625/s170126791.py | s170126791.py | py | 337 | python | en | code | 0 | github-code | 90 |
70297684778 | from itertools import combinations
from sys import stdin
n = int(stdin.readline().rstrip())
nums = [i for i in range(0,10)]
temp = list()
result = list()
for i in range(1,11):
for j in combinations(nums,i):
temp = list(j)
temp.sort(reverse=True)
result.append(int(''.join(map(str,temp))))
... | JKbin/Study-of-Coding-with-Python | BaekJoon/Gold_V/1038.py | 1038.py | py | 459 | python | en | code | 0 | github-code | 90 |
4239356288 | #
# @lc app=leetcode id=65 lang=python3
#
# [65] Valid Number
#
# @lc code=start
class Solution:
def isNumber(self, s: str) -> bool:
def if_digits(s):
n = len(s)
if n == 0:
return False
for c in s:
if c not in list("0123456789"):
... | wangyerdfz/python_lc | 65.valid-number.py | 65.valid-number.py | py | 3,011 | python | en | code | 0 | github-code | 90 |
74132736297 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 16 14:51:31 2023
2) Show that for Thiessen polygons drawn around randomly placed points within
continents (for the number of points in each continent, use the true number of groups),
the empirical relationship between geographic variability at the... | amarchenko26/ethnolinguistic | create_thiessen.py | create_thiessen.py | py | 8,051 | python | en | code | 0 | github-code | 90 |
23414187383 | from flask import Flask, render_template, request, redirect, url_for, flash
app = Flask(__name__)
ALLOWED_EXTENSIONS = {'jpeg', 'jpg', 'png'}
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
app.config['RECAPTCHA_USE_SSL']= False
app.config['RECAPTCHA_PUBLIC_KEY'] ='6LeBCfIZAAAAAO39_L4Gd7f6uCM0PfP_N3XjHxkW'
app... | Qazqazqaz2/proxy_checker | web_interface.py | web_interface.py | py | 1,343 | python | en | code | 0 | github-code | 90 |
18528203349 | def dig_sum(N):
ans=0
while N>0:
ans+=N%10
N=N//10
return ans
N=int(input())
ans=100
for i in range(1,N):
tmp=dig_sum(i)+dig_sum(N-i)
if tmp<ans:
ans=tmp
print(ans)
| Aasthaengg/IBMdataset | Python_codes/p03331/s944140510.py | s944140510.py | py | 210 | python | fr | code | 0 | github-code | 90 |
34917784157 | from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing.image import load_img, img_to_array
import numpy as np
from flask import Flask, request, render_template
from werkzeug.utils import secure_filename
import os, sys, glob, re
app = Flask(__name__)
model_path = "rice.h5"
classes = {0... | 19wh1a0576/BVRITHYDERABAD | CSE/CSE Major Projects - 2017_21/Rice Crop Disease Detection/app.py | app.py | py | 1,912 | python | en | code | 0 | github-code | 90 |
15834722488 | from aws_cdk import (
aws_rds as rds,
aws_ec2 as ec2,
Duration,
RemovalPolicy,
)
from constructs import Construct
from typing import Optional, Any
from provena.custom_constructs.db_instance import INSTANCE_TYPE
# Setting for RDS instance
BACKUP_RETENTION_DAYS = 10
BACKUP_DURATION = Duration.days(BACKU... | provena/provena | infrastructure/provena/custom_constructs/db_instance_from_snapshot.py | db_instance_from_snapshot.py | py | 4,303 | python | en | code | 3 | github-code | 90 |
18395911839 | N = int(input())
D = {}
q = set()
for i in range(N):
s,p = input().split()
if s in q:
D[s].append([int(p),i])
else:
D[s] = [[int(p),i]]
q.add(s)
ans = []
for i in sorted(list(q)):
D[i].sort(reverse=True)
for j in D[i]:
ans.append(j[1])
[print(i+1) for i in ans]
| Aasthaengg/IBMdataset | Python_codes/p03030/s000431407.py | s000431407.py | py | 317 | python | en | code | 0 | github-code | 90 |
23158454615 | #!/usr/bin/env python3
"""
Description: Wakurtosis load simulator
"""
""" Dependencies """
import sys, logging, yaml, json, time, random, os, argparse, tomllib, glob
import requests
import rtnorm
# from pathlib import Path
# import numpy as np
# import pandas as pd
# import matplotlib.pyplot as plt
# import cloudpick... | alrevuelta/wakurtosis | wsl-module/wsl.py | wsl.py | py | 15,209 | python | en | code | null | github-code | 90 |
18429577189 | from collections import deque
N=int(input())
b=list(map(int,input().split()))
flag=0
op=deque()
#1→12→122→1232→11232→121232→1221232→11221232→111221232
#print(b)
while len(b)>0:
for i in range(len(b)-1,-1,-1):
if b[i]==i+1:
#print(b[i])
op.appendleft(b.pop(i))
flag=1
... | Aasthaengg/IBMdataset | Python_codes/p03089/s749279218.py | s749279218.py | py | 505 | python | en | code | 0 | github-code | 90 |
25599000076 | from django.contrib import admin
from django.urls import path
from home.views import *
admin.site.site_header = "Raj Tours Admin"
admin.site.site_title = "Raj Tours Admin Portal"
admin.site.index_title = "Welcome to Raj Tours"
urlpatterns = [
path('admin/', admin.site.urls),
path("",index,name='home'),
p... | AkshayKamble2312/web_devlopment_projects | firstproject/rajtours/home/urls.py | urls.py | py | 544 | python | en | code | 0 | github-code | 90 |
9891441718 | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 28 21:37:43 2018
@author: William Keilsohn
"""
'''
Count the accurance of a given character in a string.
'''
# Import packages
import re
inString = input('Please enter a string: ')
inChar = input('Please enter a single character to search for: ')
def ... | wkeilsohn/Python-Interview-Problems | Character_counter.py | Character_counter.py | py | 557 | python | en | code | 0 | github-code | 90 |
18194038099 | # import sys
# input = sys.stdin.readline
import itertools
import collections
from decimal import Decimal
from functools import reduce
# 持っているビスケットを叩き、1枚増やす
# ビスケット A枚を 1円に交換する
# 1円をビスケット B枚に交換する
def main():
n = int(input())
numbers = input_list()
ans = []
s = reduce(lambda a, b: a ^ b, numbers)
f... | Aasthaengg/IBMdataset | Python_codes/p02631/s849016927.py | s849016927.py | py | 1,403 | python | en | code | 0 | github-code | 90 |
20748158127 | # Take refresh token and encoded auth string and return new tokens
def get_new_token():
import requests
import json
JSON_FILE_DIRECTORY = r'user_data.json'
TOKEN_URL = 'https://accounts.spotify.com/api/token'
open_file = open(JSON_FILE_DIRECTORY) #Open json into variable
json_da... | Gavie05/Streamer-Queue | token_refresh.py | token_refresh.py | py | 1,106 | python | en | code | 0 | github-code | 90 |
18548902899 | def actual(A, B, K):
min_left = A
max_left = min(A + (K - 1), B)
min_right = max(B - (K - 1), max_left + 1)
max_right = B
left = set(range(min_left, max_left + 1))
right = set(range(min_right, max_right + 1))
unique_nums = left | right
return '\n'.join(map(str, sorted(unique_nums)))
... | Aasthaengg/IBMdataset | Python_codes/p03386/s590165116.py | s590165116.py | py | 379 | python | en | code | 0 | github-code | 90 |
73529831976 | import pickle
from sklearn.model_selection import train_test_split
import pandas as pd
import numpy as np
from sklearn import metrics
import matplotlib.pyplot as plt
import seaborn as sns
import json
import os
from diagnostics import model_predictions
###############Load config.json and get path variables
with open('c... | lcwcharles/a-dynamic-risk-assessment-system | reporting.py | reporting.py | py | 1,951 | python | en | code | 0 | github-code | 90 |
74785351977 | minim = -100000
def RodCutting(price, n):
val = [0 for x in range(n + 1)]
val[0] = 0
maintain_len=[[] for x in range(n+1)]
maintain_len[0]=[0]
length_arr=len(price)
max_val = minim
for i in range(1, n + 1):
j=0
while j<length_arr and i-j-1>=0:
if max_val<(price[j]... | codejigglers/leetcodes | Rod_cutting_problem.py | Rod_cutting_problem.py | py | 772 | python | en | code | 0 | github-code | 90 |
18443877229 | N=int(input())
A=list(map(int,input().strip().split()))
A.sort()
def gcd(a,b):
while True:
r=a%b
if r==0:
break
a=b
b=r
return b
ans=A[0]
for n in range(N):
ans=gcd(ans,A[n])
print(ans) | Aasthaengg/IBMdataset | Python_codes/p03127/s469818631.py | s469818631.py | py | 244 | python | en | code | 0 | github-code | 90 |
18257368769 | import sys
import numpy as np
import math as mt
read = sys.stdin.buffer.read
readline = sys.stdin.buffer.readline
readlines = sys.stdin.buffer.readlines
n, a, b = map(int, readline().split())
ans = a * (n//(a + b))
if n%(a+b) < a:
ans += n%(a+b)
else:
ans += a
print(ans)
| Aasthaengg/IBMdataset | Python_codes/p02754/s329777931.py | s329777931.py | py | 285 | python | en | code | 0 | github-code | 90 |
43136646063 | import pygame
from scripts.common.utils import State
PLAYER_SPEED = 1
JUMP_HEIGHT = 7
GRAVITY = 0.5
class Player(pygame.sprite.Sprite):
def __init__(self, game, assets, *groups, **kwargs):
super().__init__(groups)
self.game = game
self.assets = assets
self.image = pygame.image.lo... | lsglucas/hurricane-in-hawaii | scripts/sprites/player.py | player.py | py | 4,496 | python | en | code | 0 | github-code | 90 |
17956236719 | import math
from typing import List, Counter, Tuple
from collections import Counter
from itertools import permutations
def read_int() -> int:
return int(input().strip())
def read_ints() -> List[int]:
return list(map(int, input().strip().split(' ')))
def solve() -> int:
N, M, R = read_ints()
r = [a... | Aasthaengg/IBMdataset | Python_codes/p03608/s281123310.py | s281123310.py | py | 965 | python | en | code | 0 | github-code | 90 |
32276575457 | import itertools
import os.path as path
import numpy as np
import pandas as pd
from src import constants
def load_feature_set(name):
file_path = path.join(constants.RAW_TAGGED_FEATURE_SET_PATH, 'msd-' + name + '/msd-' + name + '.csv')
whole = np.array(pd.read_csv(file_path, header=None))
return whole
b... | EngineerLaroche/MusicTypeDetection | scripts/split_other_dataset.py | split_other_dataset.py | py | 1,179 | python | en | code | 0 | github-code | 90 |
348029338 | from parsimonious.nodes import Node
from parsimonious.grammar import Grammar, NodeVisitor
class Range:
start_open: bool
end_open: bool
val_type: str
precision: int
start: float
end: float
floor: bool
ceil: bool
def __init__(
self,
start_open: bool = False,
... | sethjuarez/fibberio | fibberio/range.py | range.py | py | 5,099 | python | en | code | 5 | github-code | 90 |
657053692 | from ..locators.executive_secretary_locators import ExecutiveSecretaryLocators
from ..components.button import Button
from ..components.text_box import TextBox
class ExecutiveSecretaryPage(Button, TextBox):
def open_new_case_add_steps(self):
if self.is_element_present(*ExecutiveSecretaryLocators.MENU_CLAI... | gulida/mtc | pages/executive_secretary_page.py | executive_secretary_page.py | py | 1,723 | python | en | code | 0 | github-code | 90 |
18135963686 | # User-initiated helper script for parsing Ensembl FASTA Files to dataframes and saving
import pandas as pd
from Bio import SeqIO
def main(fasta_path):
data = []
records = [record for record in SeqIO.parse(fasta_path, "fasta")]
for record in records:
ensembl_protein_id = record.id
protein_... | noelgarber/PACM | general_utils/ensembl_fasta_parser.py | ensembl_fasta_parser.py | py | 1,310 | python | en | code | 0 | github-code | 90 |
18348847599 | N=int(input())
a=[[0 for j in range(N-1)] for i in range(N)]
for i in range(N):
line=list(map(int,input().split()))
for j in range(N-1):
a[i][j]=line[j]-1
a[i]=a[i][::-1]
stack=[]
def addmatch(i):
if len(a[i])==0:
return
j=a[i][-1]
if a[j][-1]==i:
stack.append([i,j])
for i in range(N):
... | Aasthaengg/IBMdataset | Python_codes/p02925/s644493706.py | s644493706.py | py | 676 | python | en | code | 0 | github-code | 90 |
15662277349 | import urlparse
import time
import datetime
class Throttle:
"""Add delay between two scrapy to same domain
"""
def __init__(self, delay):
self.delay = delay
self.domain = {}
def wait(self, url):
domain = urlparse.urlparse(url).netloc
lastVisistTime = self.domain.get... | HelloWorldCAT/WebJobCrawler | Throttle.py | Throttle.py | py | 587 | python | en | code | 0 | github-code | 90 |
23362975164 | word = input()
liste = list(word) #fct list convertit la séquence en liste #liste=[word] :def une liste avec une seule variable
liste_inverse = liste[::-1]
while len(word) % 2 == 0: #si la longueur du mot est paire
for letter in range (len(liste)): #pour chaque lettre présente dans mon mot
if liste[lett... | Stellupo/JetBrainsAcademyPython | PalidromeLetter.py | PalidromeLetter.py | py | 487 | python | fr | code | 0 | github-code | 90 |
36275045257 | # coding: utf-8
import tensorflow as tf
def create_adam_optimizer(learning_rate, momentum):
return tf.train.AdamOptimizer(learning_rate=learning_rate,
epsilon=1e-4)
def create_sgd_optimizer(learning_rate, momentum):
return tf.train.MomentumOptimizer(learning_rate=lea... | hccho2/Tacotron-Wavenet-Vocoder-Korean | wavenet/ops.py | ops.py | py | 1,985 | python | en | code | 162 | github-code | 90 |
18579186762 | import math
import numpy as np
"""
Finding point of intersection between line and circle: https://stackoverflow.com/questions/30844482/what-is-most-efficient-way-to-find-the-intersection-of-a-line-and-a-circle-in-py
Circle and line segment intersection: https://stackoverflow.com/questions/22747702/finding-x-and-y-axi... | rahulsinghk998/Crowd-behaviour-modelling | mathHelper.py | mathHelper.py | py | 5,236 | python | en | code | 0 | github-code | 90 |
35281066047 | import torch
import pandas as pd
import numpy as np
import sys
import copy
from tqdm import tqdm
import torch.nn as nn
from sklearn.metrics import confusion_matrix
from models.losses import LogitAdjustLoss, FocalLoss, CrossEntropyLoss, instance_weighted_loss, DiscriminativeLoss
from utils.help_functions import Voting,... | zili98/ELEC576-Deep-Learning-Final-Project | src/train_function.py | train_function.py | py | 16,799 | python | en | code | 0 | github-code | 90 |
18476969609 | class PrimeFactor():
def __init__(self, n):
"""
エラトステネス O(N loglog N)
"""
self.n = n
self.table = list(range(n+1)) # 最小素因数のリスト
self.table[2::2] = [2]*(n//2)
for p in range(3, int(n**0.5) + 2, 2):
if self.table[p] == p:
for q ... | Aasthaengg/IBMdataset | Python_codes/p03213/s464282704.py | s464282704.py | py | 1,664 | python | en | code | 0 | github-code | 90 |
20857985297 | #!/usr/bin/env python
from __future__ import print_function
from six.moves import input
import sys
import copy
import rospy
import moveit_commander
import moveit_msgs.msg
import geometry_msgs.msg
from math import pi
from std_msgs.msg import String
from moveit_commander.conversions import pose_to_list
from pkg_vb_sim.... | hi-18-K/inventory_simulation | Task2/pkg_task2/scripts/node_t2_ur5_1_pick_place.py | node_t2_ur5_1_pick_place.py | py | 11,910 | python | en | code | 0 | github-code | 90 |
17863143812 | import numpy as np
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
def weight_variable(shape):
initial = tf.truncated_normal(shape, stddev=0.1)
return tf.Variable(initial)
def bias_variable(shape):
initial = tf.constant(0.1, shape=shape)
return tf.Variable(initial)
def mai... | Alyndre/DeepLearningPython | TensorFlow/TF_mnist.py | TF_mnist.py | py | 1,524 | python | en | code | 0 | github-code | 90 |
18550850459 | #11208467
t="abcdefghijklmnopqrstuvwxyz"
s=input()
if s==t[::-1]:print(-1);exit()
if len(s)!=26:
for i in t:
if i not in s:print(s+i);exit()
i=25
while s[i-1]>s[i]:i-=1
tt=s[i-1]
ss=list(s[i-1:])
ss.sort()
print(s[:i-1]+ss[ss.index(tt)+1]) | Aasthaengg/IBMdataset | Python_codes/p03393/s991491343.py | s991491343.py | py | 245 | python | en | code | 0 | github-code | 90 |
73059217576 | import json
import hw1.morph as morph
from gensim.models import KeyedVectors
import numpy as np
LIMIT = 300
input1 = "example_texts.json"
input2 = "dataset_43428_1.txt"
xml_dict = '../hw1/dict.opcorpora.xml'
xml_corpus = '../hw1/annot.opcorpora.no_ambig.xml'
middle_punctuation_remover = str.maketrans({key: None for ... | KatyaKos/nlp-kr | nlp/hw2/refer.py | refer.py | py | 5,886 | python | en | code | 0 | github-code | 90 |
73367799978 | import conllu
from tqdm import tqdm
import torch
from torch.utils.data import Dataset, DataLoader
from torch.nn.utils.rnn import pad_sequence
import torch.multiprocessing as mp
from torch.utils.data.distributed import DistributedSampler
from torch.nn.parallel import DistributedDataParallel as DDP
from torch.distribute... | P-Balaramakrishna-Varma/NLPA2 | neural_tag.py | neural_tag.py | py | 8,400 | python | en | code | 0 | github-code | 90 |
18428624847 | from django.shortcuts import render
from admin.models import admin
from admin.form import AdminForm
# Create your views here.
def create(request):
if request.method=="POST":
form=AdminForm(request.POST)
form.save()
return redirect("/dashboard")
else:
form=AdminForm()
return ... | Bishal789/webdev | Admin/views.py | views.py | py | 376 | python | en | code | 0 | github-code | 90 |
12704450191 | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def deleteDuplicates(self, head: Optional[ListNode]) -> Optional[ListNode]:
remove = ListNode(-1)
remove.next = head
previous... | FevenBelay23/competitive-programming | 0082-remove-duplicates-from-sorted-list-ii/0082-remove-duplicates-from-sorted-list-ii.py | 0082-remove-duplicates-from-sorted-list-ii.py | py | 780 | python | en | code | 0 | github-code | 90 |
4129671612 | import sys
import numpy as np
state = np.array([int(x) for x in sys.stdin.readline().split(',')])
for i in range(80):
zeros = state.shape[0] - np.count_nonzero(state)
state[state == 0] = 7
state = np.concatenate([state, np.full((zeros,), 9)])
state -= 1
print(state.shape[0]) | folded/aoc-2021 | 06/06-1.py | 06-1.py | py | 286 | python | en | code | 0 | github-code | 90 |
44009984238 | # import libraries
import pandas as pd
from sklearn.preprocessing import OneHotEncoder
def one_hot_encoding(data: pd.DataFrame, categorical_features:list) -> pd.DataFrame:
"""Apply one hot encoding to categorical features in a dataframe.
Args:
data (pd.DataFrame): Input dataframe.
categorical... | mawada-sweis/Clustering-Analysis | src/utils/transform_data.py | transform_data.py | py | 2,355 | python | en | code | 3 | github-code | 90 |
71319205417 | from django.contrib.auth import get_user_model
from django.test import TestCase
from django.urls import reverse
from sport_academy.models import Player
class DriverTest(TestCase):
fixtures = [
"sport_club_db_data.json"
]
def setUp(self):
self.user = get_user_model().objects.... | anastasiia-tsurkan/iCoach | sport_academy/tests/test_forms.py | test_forms.py | py | 707 | python | en | code | 1 | github-code | 90 |
25788940903 | from hedera import (
Hbar,
PrivateKey,
AccountBalanceQuery,
AccountCreateTransaction,
TransferTransaction,
Transaction,
)
from get_client import client
from jnius import cast
exchangeKey = PrivateKey.generate()
userKey = PrivateKey.generate()
print("Exchange Key : ", exchangeKey.toString()... | wensheng/hedera-sdk-py | examples/multi_app_transfer.py | multi_app_transfer.py | py | 2,741 | python | en | code | 18 | github-code | 90 |
23410225016 | #!/usr/bin/env python3
import asyncio, random
from irctokens import build, Line
from ircrobots import Bot as BaseBot
from ircrobots import Server as BaseServer
from ircrobots import ConnectionParams
# aaaaaaaaaaaaaAAAAAAAAAAAAAAA
# im too lazy to import more stuffs :tm:
from ircrobots.server import *
from config imp... | xfnw/relay | bot.py | bot.py | py | 4,938 | python | en | code | 0 | github-code | 90 |
18317568279 | N=int(input())
L=list(map(int,input().split()))
suml=sum(L)
l,ll,i=L[0],0,0
while l<suml/2:
i+=1
ll=l
l+=L[i]
key=min(l-suml/2,suml/2-ll)
print(int(key*2)) | Aasthaengg/IBMdataset | Python_codes/p02854/s925779179.py | s925779179.py | py | 162 | python | en | code | 0 | github-code | 90 |
7671707668 | import pandas as pd
from method.frame.checking_data import DataMining
class ScoreCardProcess(DataMining):
def __init__(self, data,
label: str = 'label',
show_plot: bool = False):
self.data = data
self.label = label
self.show_plot = show_plot
self.u... | JPL-JUNO/Collections | scorecard/method/process.py | process.py | py | 4,542 | python | en | code | 0 | github-code | 90 |
73951313257 | import os
import csv
import pandas as pd
class AddingStuff:
def __init__(self):
self.categories = self.load_csv()
def load_csv(self):
arr = []
path = os.path.abspath(os.path.dirname(__file__))
file_path = os.path.join(path, 'database/expenses.csv')
w... | arsh939/Python-Projects | python-budget/addingStuff.py | addingStuff.py | py | 1,075 | python | en | code | 3 | github-code | 90 |
37778018200 | from rest_framework.authtoken.models import Token
from astrobin.middleware.mixins import MiddlewareParentClass
from common.services import AppRedirectionService
REST_FRAMEWORK_TOKEN_COOKIE = 'classic-auth-token'
class RestFrameworkTokenCookieMiddleware(MiddlewareParentClass):
def _process(self, request):
... | astrobin/astrobin | astrobin/middleware/rest_framework_token_cookie_middleware.py | rest_framework_token_cookie_middleware.py | py | 1,011 | python | en | code | 100 | github-code | 90 |
13810613079 | from datetime import timedelta
from functools import wraps
from django.conf import settings
from django.utils import timezone
from user.models import LoginRequest
import requests
def check_recaptcha(view_func):
@wraps(view_func)
def _wrapped_view(view, request, *args, **kwargs):
request.recaptcha_i... | HackAssistant/hackassistant | user/verification.py | verification.py | py | 2,846 | python | en | code | 6 | github-code | 90 |
27088036128 | import re
from llnl.util.argparsewriter import ArgparseWriter
import spack.cmd
import spack.main
from spack.main import SpackCommand
commands = SpackCommand('commands')
parser = spack.main.make_argument_parser()
spack.main.add_all_commands(parser)
def test_commands_by_name():
"""Test default output of spack c... | matzke1/spack | lib/spack/spack/test/cmd/commands.py | commands.py | py | 1,203 | python | en | code | 2 | github-code | 90 |
8281775305 | # -*- coding:utf-8 -*-
"""
Created by haven on 16/8/20.
"""
import requests
from config import config
# from Dach import Dache
from Dache import Dache
class Uber(Dache):
def __init__(self, from_lat, from_lon, to_lat, to_lon):
# Dache.__init__(self)
# super(from_lat, from_lon, to_lat, to_lon)
... | Teisei/TaxiRobot | lib/RouteCompare/uberApi.py | uberApi.py | py | 3,510 | python | en | code | 0 | github-code | 90 |
9093289282 | import pymel.core as pm
import mtoa.utils as utils
import mtoa.ui.ae.utils as aeUtils
from mtoa.ui.ae.shaderTemplate import ShaderAETemplate
class AEH_ThinFilmInterferenceTemplate(ShaderAETemplate):
def setup(self):
# Add the shader swatch to the AE
self.addSwatch()
self.beginScrollLayout(... | splicerlabs/H_ThinFilmInterference | source/mtoa/H_ThinFilmInterferenceTemplate.py | H_ThinFilmInterferenceTemplate.py | py | 1,743 | python | en | code | 13 | github-code | 90 |
3690741544 | # coding=utf-8
import cv2
import os.path
import sys
def splitVideo(video_path, out_path, interval, start, end):
"""
拆分视频
:param video_path: 视频路径
:param out_path: 输出影像的文件夹
:param interval: 采样间隔，1表示逐帧输出
:param start: 起始时间，单位为秒
:param end: 结束时间，单位为秒
:return: 空
"""
separator = os... | zhaoxuhui/TookitsForVideoProcessing | splitVideo.py | splitVideo.py | py | 2,178 | python | en | code | 2 | github-code | 90 |
4962944762 | import os
import sys
import time
import math
import shutil
# import at_cascade with a preference current directory version
current_directory = os.getcwd()
if os.path.isfile( current_directory + '/at_cascade/__init__.py' ) :
sys.path.insert(0, current_directory)
import at_cascade
import dismod_at
# BEGIN_PYTHON
#
# c... | bradbell/at_cascade | test/csv_fit.py | csv_fit.py | py | 6,619 | python | en | code | 3 | github-code | 90 |
74405158057 | import numpy as np
from icecube import icetray, dataclasses
from icecube.dataclasses import I3Particle
def pick_em_or_had(type):
em_types = [I3Particle.EMinus, I3Particle.Brems]
had_types = [I3Particle.Hadrons, I3Particle.NuclInt]
if type in had_types:
return 'HAD'
elif type in em_types:
return 'EM'
else:
... | clark2668/icetradio | python/util_phys.py | util_phys.py | py | 335 | python | en | code | 0 | github-code | 90 |
21473642975 | # Splash scene - first scene the user sees
import pygwidgets
import pyghelpers
from Constants import *
class SceneSplash(pyghelpers.Scene):
def __init__(self, window):
self.window = window
self.backgroundImage = pygwidgets.Image(self.window,
(0, 0), ... | IrvKalb/Object-Oriented-Python-Code | Chapter_16/Dodger/SceneSplash.py | SceneSplash.py | py | 2,392 | python | en | code | 207 | github-code | 90 |
18607934946 | import os
from jsonc_parser.parser import JsoncParser
import requests
from fastapi.responses import PlainTextResponse
import subprocess
from subprocess import PIPE
CONFIG_FILE = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) + "/server/config.jsonc"
CONFIG = JsoncParser.parse_file(CONFIG_FILE)
async de... | acenturyandabit/code2dia | code2dia/convertPlantUMLToSVG.py | convertPlantUMLToSVG.py | py | 897 | python | en | code | 0 | github-code | 90 |
17764060430 | # Leer letras de líneas (ver la entrada a continuación). Cada letra está en un cuarto índice, comenzando desde el índice 1.
# ENTRADA
# [D]
# [N] [C]
# [Z] [M] [P]
# SALIDA DESEADA
# [' D ', 'NC', 'ZMP']
# VERSION CON DOBLE CICLO FOR PARA RECORRER LINEAS Y LETRAS
with open("11. Desafíos/letras.txt") as archivo:... | manutorres/python | 11. Desafíos/4. slicing.py | 4. slicing.py | py | 895 | python | es | code | 0 | github-code | 90 |
31599144608 | class Department:
def __init__(self, name, emps=0):
self.name = name
self.emps = emps
def display(self):
print('Deartment: ', self.name)
print('Employees: ', self.emps)
class Employee(Department):
def __init__(self, name, age, department):
self.name = name
... | tilvaanjali/python_exe1 | main.py | main.py | py | 807 | python | en | code | 0 | github-code | 90 |
73090191335 | """1588. Sum of All Odd Length Sub arrays Given an array of positive integers' arr, return the sum of all possible
odd-length sub arrays of arr. A subarray is a contiguous subsequence of the array.
Example 1:
Input: arr = [1,4,2,5,3]
Output: 58
Explanation: The odd-length subarrays of arr and their sums are:
[1] = 1
[... | devWorldDivey/mypythonprogrammingtutorials | Python Problems/Leetcode Problem 1588. Sum of All Odd Length Subarrays.py | Leetcode Problem 1588. Sum of All Odd Length Subarrays.py | py | 1,319 | python | en | code | 0 | github-code | 90 |
71186130218 | from assento import Assento
class controladorAssentos():
PrecoDevolvido = 0
PessoasNaSala = 0
cont = 0
ValorApurado = 0
PrecoPessoaSala = 0
def __init__(self):
self.__linhas = None
self.__colunas = None
self.__lista = []
self.__saldodevolucoes = None
def cri... | artillisprado/Cinema-Python-II-OO | controladorassento.py | controladorassento.py | py | 5,534 | python | pt | code | 1 | github-code | 90 |
19456584133 | class Node:
def __init__(self, data):
self.data = data
self.next = None
self.prev = None
class DoublyLinkedList:
def __init__(self):
self.head = None
self.tail = None
def append(self, data):
new_node = Node(data)
if not self.head:
self.he... | tonianev/data-structures | src/doubly_linked_list.py | doubly_linked_list.py | py | 490 | python | en | code | 0 | github-code | 90 |
29521802946 | # Challenge 1
def split_gold(golds):
a = []
b = []
for i in range(len(golds)):
if i % 2 == 0:
if golds[0] >= golds[-1]:
a.append(golds[0])
golds.pop(0)
else:
a.append(golds[-1])
golds.pop(-1)
else:
... | coding-plus-equals-one/meeting-materials-2022-2023 | 5_lists_and_dicts/solutions.py | solutions.py | py | 1,559 | python | en | code | 0 | github-code | 90 |
16416910965 | #Actual log parser u_ex180414.log full parse
import re
import os
import functools
import operator
import sys
import cx_Oracle #pip install cx_oracle
#Read a file and parse it(convert it to csv)
logPath = os.path.join("C:\\","home","harish","Desktop","u_ex180414.log")
f = open(logPath,'r') #will we get stac... | Chandrakhasin/conserve-energy | energyLogFileParser.py | energyLogFileParser.py | py | 2,006 | python | en | code | 0 | github-code | 90 |
34998486844 | #! /usr/bin/env python
"""
eight queens, whose gui uses Tkinter
"""
import tkinter as Tk
import queen as Q
import os
Q_font = ("Times", 14)
def move_queen(now, next):
return [(i, z1-z0) for i, (z0, z1) in enumerate(zip(now, next)) if z0 != z1]
class Cboard(Tk.Canvas):
cell_size = 46
margin = 5
... | 96no3/PythonStudy | Python/201912/191204/tkinter9/8queens.py | 8queens.py | py | 3,302 | python | en | code | 0 | github-code | 90 |
22685140972 | import json
import base64
import requests
from datetime import datetime
class er_agent():
def __init__(self, hostname, log=None):
self.my_hostname = hostname
self.log = log
self.unload_v_drm_schedule()
def load_v_drm_schedule(self, v_drm_schedule_json):
self.URL = "https://"+v_drm_schedule_json['... | Frentree/python-for-pc | client/lib_er.py | lib_er.py | py | 6,001 | python | en | code | 0 | github-code | 90 |
23959792172 | # Imports
# Standard imports
import importlib
import random
import os
# Globals
global cardinalDirs
cardinalDirs = ("north", "east", "south", "west")
# Functions
# No idea on credit for clearScreen()
def clearScreen():
"""Clears the screen"""
if os.name == "nt": os.system("cls")
else: os.system("clear... | ericl16384/old-python-projects | BotsBuildBots/utilities.py | utilities.py | py | 12,200 | python | en | code | 0 | github-code | 90 |
15481789105 | from __future__ import annotations
from typing import Union as _Union
from typing import List as _List
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from ._disease import Disease
from ._demographics import Demographics
from ._demographic import Demographic
from ._parameters import Parameters
... | chryswoods/MetaWards | src/metawards/_run.py | _run.py | py | 26,754 | python | en | code | null | github-code | 90 |
22325934431 |
from os import read
import pygame
from generic_entity import GenericEntity
from player import Player
from generic_enemy import GenericEnemy, phf
from sys import exit
from weapon import Weapon
from setting import*
from ui import*
from level import Level
from game_data import level_0
from random import randint
# Starts ... | sandstone991/soup | demo.py | demo.py | py | 4,244 | python | en | code | 1 | github-code | 90 |
11941471888 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Sun Jun 30 13:00:40 2019
@author: hitham
"""
import os
import requests, zipfile, StringIO
def downloaddata(parentdir,datbase_link,libname):
#if not os.path.exists(parentdir):
# os.makedirs(parentdir)
r = requests.get(datbase_link, strea... | hjleed/Open-Set-Audio-Recognition-for-Multi-class-Classification-with-Rejection | Install_data_toolbox/toolBOX.py | toolBOX.py | py | 1,454 | python | en | code | 4 | github-code | 90 |
28151333871 | import OpenGL.GL as gl
import PyDelFEM2 as dfm2
import PyDelFEM2.gl.glfw
def draw_func():
gl.glEnable(gl.GL_LIGHTING)
msh.draw()
msh = dfm2.Mesh()
msh.read("../test_inputs/bunny_2k.ply")
msh.scale_xyz(0.03)
win = dfm2.gl.glfw.WindowGLFW(1.0,winsize=(400,300))
win.list_func_draw.append(draw_func)
dfm2.gl.setSom... | nobuyuki83/pydelfem2 | examples_py/01_openwin_glfw2.py | 01_openwin_glfw2.py | py | 348 | python | en | code | 10 | github-code | 90 |
74791737577 | import numpy as np
from tqdm import tqdm
import torch
import os
from sklearn.decomposition import PCA
import umap.umap_ as umap
import plotly.graph_objects as go
import argparse
from pathlib import Path
def adapt_hidden_embeddings(instance):
# if the embeddings of all the generation steps were saved in a... | lovodkin93/unanswerability | figures_generation/PCA_plots_generation.py | PCA_plots_generation.py | py | 12,510 | python | en | code | 3 | github-code | 90 |
27308158831 | '''
Created on Jun 18, 2015
@author: boris
'''
from numpy import concatenate, add
from gold.statistic.MagicStatFactory import MagicStatFactory
from gold.statistic.Statistic import MultipleRawDataStatistic
from gold.track.TrackFormat import TrackFormatReq
class RawOverlapCodedEventsStat(MagicStatFactory):
'''
... | uio-bmi/track_rand | lib/hb/gold/statistic/RawOverlapCodedEventsStat.py | RawOverlapCodedEventsStat.py | py | 2,758 | python | en | code | 1 | github-code | 90 |
17938506929 | import sys
sys.setrecursionlimit(10 ** 7)
input = sys.stdin.readline
f_inf = float('inf')
mod = 10 ** 9 + 7
def resolve():
n = int(input())
k = int(input())
res = 1
for _ in range(n):
if res < k:
res *= 2
else:
res += k
print(res)
if __name__ == '__main... | Aasthaengg/IBMdataset | Python_codes/p03564/s361440470.py | s361440470.py | py | 339 | python | en | code | 0 | github-code | 90 |
26484924760 | import json
import os
from django.conf import settings
from apps.api.tests.base import BaseTestCase
class SearchInterestTestCase(BaseTestCase):
fixtures = [
"trend.json",
"user.json"
]
def test_search_interest_unauthorized(self):
resp = self.api_client.get("search_interest/")
... | GrigoriLab/daily_trend | apps/api/tests/test_search_interest.py | test_search_interest.py | py | 1,167 | python | en | code | 0 | github-code | 90 |
3118654017 | # This module provides the whole program with the nessary methods
# the main F bool function values counter
def bool_function(x1, x2, x3, x4):
if (x1 + x2 + x3) * (x2 + x3 + x4):
return 1
else:
return 0
# the full error between F and Y counter
def fault_counter(F, Y):
E = 0
for i in ra... | thelacker/ITIB | LAB_1/Tools.py | Tools.py | py | 519 | python | en | code | 1 | github-code | 90 |
20862512561 | import copy
import random
import sys
sys.path.append(".")
from rpg2_classdefinitions import (Player_PC, Pet_NPC, ItemBag_PC,
Spell_PC, Monster_NPC, Weapon_PC,
Armor_PC, QuestItems_NPC, Access_NPC)
import rpg2_party_management_functions as part... | DXing330/rpg_practice | RPG2v3/RPG2v3/RPG2subfiles/rpg2_quest_function.py | rpg2_quest_function.py | py | 4,635 | python | en | code | 0 | github-code | 90 |
18296293069 | # Original Submission At: https://atcoder.jp/contests/abc149/submissions/16823042
import sys
sys.setrecursionlimit(1000000)
x= int(input())
def prime_check(num,count):
if (num % count) != 0:
if num <= count**2:
print(num)
else:
prime_check(num,count+1)
else :
pr... | Aasthaengg/IBMdataset | Python_codes/p02819/s532168997.py | s532168997.py | py | 391 | python | en | code | 0 | github-code | 90 |
71957206057 | import unittest
def solution(H):
S=[]
count = 0
for h in H:
while(len(S) > 0 and h < S[-1]):
S.pop()
if len(S) == 0 or h != S[-1]:
S.append(h)
count += 1
return count
S=[]
S.append([[[8,8,5,7,9,8,7,4,8]],7])
class TestSolution(unittest.TestCase):
... | eavaria/codility | lesson_7d.py | lesson_7d.py | py | 481 | python | en | code | 0 | github-code | 90 |
42569575236 | import pandas as pd
import sys
def add_completeness(codon, a_struct, a_errors, t_struct, t_errors, tRNA):
complete = ""
bad_aterm = pd.isna(a_struct) or not(pd.isna(a_errors))
bad_term = pd.isna(t_struct) or not(pd.isna(t_errors))
if pd.isna(codon) and bad_aterm and bad_term:
complete = "None"
... | mpiersonsmela/tbox | pipeline/add_completeness.py | add_completeness.py | py | 889 | python | en | code | 0 | github-code | 90 |
40236438791 | import unittest
import mock
from opencensus.trace.ext.requests import trace
class Test_requests_trace(unittest.TestCase):
def test_trace_integration(self):
mock_wrap = mock.Mock()
mock_requests = mock.Mock()
wrap_result = 'wrap result'
mock_wrap.return_value = wrap_result
... | pombredanne/opencensus-python | trace/tests/unit/ext/requests/test_requests_trace.py | test_requests_trace.py | py | 3,522 | python | en | code | null | github-code | 90 |
31822842239 | import pygame
from Mode.Components import Component
from Mode.Components.Text import Text
class Button(Component):
def __init__(self, state, pos, size, label, on_click, icon=None, color=None):
super().__init__(state, pos, size)
self.enabled = True
self.label = label
self.on_click ... | Hypnopompia/PrinterController | Mode/Components/Button/Button.py | Button.py | py | 2,075 | python | en | code | 0 | github-code | 90 |
14760508567 | import pygame
import random
from settings import *
from sprites import *
from time import sleep
class Game():
def __init__(self):
pygame.init()
pygame.mixer.init()
self.screen = pygame.display.set_mode((WIDTH, HEIGHT))
pygame.display.set_caption(TITLE)
self.c... | AbeerVaishnav13/Flappy-by-Abeer | Flappy.py | Flappy.py | py | 7,659 | python | en | code | 0 | github-code | 90 |
37761598283 | from django.shortcuts import render
from django.http import HttpResponse
from django.views.generic import View
from django.template.loader import get_template
import datetime
from .utils import render_to_pdf #created in step 4
class GeneratePdf(View):
def get(self, request, *args, **kwargs):
template = ... | ian-yitzhak/receipt | myapp/views.py | views.py | py | 981 | python | en | code | 0 | github-code | 90 |
25698287902 | from django.conf import settings
from rest_framework import serializers
from revibe._errors import network
from accounts.models import CustomUser
from content.models import Song
from metrics.models import *
# -----------------------------------------------------------------------------
class StreamSerializer(seria... | Revibe-Music/core-services | metrics/serializers/v1.py | v1.py | py | 4,598 | python | en | code | 2 | github-code | 90 |
26278504916 | '''
This file defines how to train and test the neural network.
The main function takes the following arguments:
- modes: A list containing a subset of ['train', 'test']
- epochs: Number of training epochs
- dataset_type: A string from ['torchvision', 'folder', 'custom'].
See dataset.py for more details.
- ... | IVPLatNU/Sample_PyTorch_Code | run_model.py | run_model.py | py | 10,028 | python | en | code | 6 | github-code | 90 |
4367169019 | import os, sys, urlparse
from inc.functions import *
from PySide.QtGui import QMainWindow
from ui.mainwindow import Ui_MainWindow
from inc.modules import themes, presets
class MainWindow(QMainWindow):
def __init__(self):
# Load window
super(MainWindow, self).__init__()
self.ui = Ui_MainWindow()
self.ui.setupU... | kmklr72/LMMS-Theme-Installer | ui/mainwindow.py | mainwindow.py | py | 1,091 | python | en | code | 1 | github-code | 90 |
25244086854 | from gpytorch.kernels import MaternKernel, ScaleKernel
from gpytorch.priors import GammaPrior
from gpytorch.likelihoods import GaussianLikelihood
from gpytorch.mlls import ExactMarginalLogLikelihood
from gp_models import StrictlyAdditiveKernel, ExactGPModel, RPPolyKernel, ProjectionKernel
from fitting.optimizing import... | idelbrid/Randomly-Projected-Additive-GPs | synthetic_test_script.py | synthetic_test_script.py | py | 7,910 | python | en | code | 25 | github-code | 90 |
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