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
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
6002465831 | import numpy as np
import cv2
#function that needs to find colonies, I pass the image and the mask that contains the rectangle
def GetColonies(image,mask):
#convert image to grayscale
image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
#I isolate the image contained in the rectangle
writing_... | filyps98/colony_counting | CLED_program/ExctractColonies.py | ExctractColonies.py | py | 782 | python | en | code | 0 | github-code | 90 |
1959024610 | import sys
sys.stdin = open('input.txt')
width, height = map(int, input().split())
num = int(input())
width_arr = [0, width]
height_arr = [0, height]
for _ in range(num):
dir, pnt = map(int, input().split())
if dir:
width_arr.append(pnt)
else:
height_arr.append(pnt)
width_arr.sort()
heigh... | ycchoi419/baekjun | BOJ2628/boj2628.py | boj2628.py | py | 590 | python | en | code | 0 | github-code | 90 |
18326948309 | #-*-coding:utf-8-*-
import sys
input=sys.stdin.readline
def main():
n = int(input())
ans=10**12
tmp=[]
for a in range(1,10**6+1):
if n%a==0 and n >=a:
b=n//a
elif n <a:
break
#a,bの最小値を記憶してくれてる？
ans=min(ans,a+b-2)
print(ans)
if __name__=="__ma... | Aasthaengg/IBMdataset | Python_codes/p02881/s561029261.py | s561029261.py | py | 365 | python | ja | code | 0 | github-code | 90 |
28441219104 | import sys
from random import randrange
my_num = sys.argv[1]
if __name__ == '__main__':
while True:
rand_num = randrange(0, 2)
if my_num == rand_num:
print('Great!')
break
else:
print(f'Try again it was {rand_num}')
my_num = int(input('guess a n... | BarSnir/ztm-course-python | section-8/args/main.py | main.py | py | 331 | python | en | code | 0 | github-code | 90 |
37871092200 | import os
import clip
import torch
## PAOT
TASK_NAME = ['Scattering correction',
'removing circular artifacts',
'converting low-energy images to high-energy images',
'temporal CT',
'MRI image conversion']
# Load the model
device = "cuda" if torch.cuda.is_available()... | tianliang774/CLIP-env-Model-tianliang | pretrained_weights/clip_embedding.py | clip_embedding.py | py | 717 | python | en | code | 0 | github-code | 90 |
18027096695 | import numpy as np
import pandas as pd
import argparse
# python doStep1.py --FileNumber 1
if __name__ == '__main__':
parser = argparse.ArgumentParser(description = "Receive the parameters")
parser.add_argument('--FileNumber', action = 'store', type = str, dest = 'FileNumber', help = 'Which file number to tak... | fmanteca/HighPt_DNN | processing/doStep1.py | doStep1.py | py | 18,267 | python | en | code | 0 | github-code | 90 |
18070647799 | a=list(map(int,input().split()))
lst=[0,0]
for i in range(3):
if a[i]==5:
lst[0]+=1
elif a[i]==7:
lst[1]+=1
if lst[0]==2 and lst[1]==1:
print("YES")
else:
print("NO") | Aasthaengg/IBMdataset | Python_codes/p04043/s091343729.py | s091343729.py | py | 198 | python | en | code | 0 | github-code | 90 |
14519914970 | import re
import spacy
nlp = spacy.load("en_core_web_sm")
def clean_text(search_results):
for result in search_results:
title = result.title
snippet = result.snippet
title = re.sub(r"[^a-zA-Z0-9\s-]", "", title)
snippet = re.sub(r"[^a-zA-Z0-9\s-]", "", snippet)
title = ... | ErikaMelt/search_engine_optimization | scraper/data_preprocessing/text_processing.py | text_processing.py | py | 776 | python | en | code | 0 | github-code | 90 |
35716356311 | """ Getting everything ready to work with the data. """
import logging
from secfsdstools.a_config.configmgt import ConfigurationManager
from secfsdstools.a_config.configmodel import Configuration
from secfsdstools.c_update.updateprocess import Updater
LOGGER = logging.getLogger(__name__)
def update(config: Configur... | HansjoergW/sec-fincancial-statement-data-set | secfsdstools/update.py | update.py | py | 1,246 | python | en | code | 12 | github-code | 90 |
24406649437 | import xlrd
import json
from django.shortcuts import render
from import_export.formats.base_formats import XLS
from rest_framework.views import APIView
from rest_framework.parsers import MultiPartParser, FormParser
from rest_framework.response import Response
from rest_framework import status
from fileapp.model... | joyshaha/ReactDjangoCRUD | backend/fileapp/views.py | views.py | py | 5,783 | python | en | code | 0 | github-code | 90 |
18901497185 | from random import randint
# makes the items stack like in connect 4
class Stack:
def __init__(self):
self._list = []
def __len__(self):
return len(self._list)
def push(self, element):
if len(self._list) <= 6:
self._list.append(element)
else:
... | gkeeble2003/Connect-4-Ultimate-Showdown | Connect4_Keeble_Gareth.py | Connect4_Keeble_Gareth.py | py | 4,658 | python | en | code | 0 | github-code | 90 |
18539953269 | def main():
n = int(input())
M = 55555
Int = [i for i in range(M+1)]
for i in range(2,len(Int)):
if Int[i]!=0:
for k in range(2,M//Int[i]):
Int[i*k] = 0
prm = []
for i in Int:
if i!=0 and i%5==1:
prm.append(i)
prm = prm[1:]
print(' ... | Aasthaengg/IBMdataset | Python_codes/p03362/s540530085.py | s540530085.py | py | 395 | python | en | code | 0 | github-code | 90 |
19253489065 | from sys import stdin
# [row, col]
moving_dir = {
'R': [0, 1], 'L': [0, -1], 'B': [1, 0], 'T': [-1, 0],
'RT': [-1, 1], 'LT': [-1, -1], 'RB': [1, 1], 'LB': [1, -1]
}
def convert_pos(position, type):
col, row = position
if type == "CHAR_TO_NUM":
return [ord(col) - ord('A'), 8 - int(row)]
eli... | ag502/algorithm | Problem/BOJ_1063_킹/main.py | main.py | py | 2,033 | python | en | code | 1 | github-code | 90 |
38253397610 | import sys
input = lambda : sys.stdin.readline().rstrip()
sys.setrecursionlimit(10**6)
def find(node):
if node == group[node]:
return node
else:
root = find(group[node])
weight[node] += weight[group[node]]
group[node] = root
return root
def union(a, b, w):
... | Z1Park/baekjoon | 백준/Platinum/3830. 교수님은 기다리지 않는다/교수님은 기다리지 않는다.py | 교수님은 기다리지 않는다.py | py | 952 | python | en | code | 0 | github-code | 90 |
4804990810 | import uuid
import itertools
from ..models import Component
class _LogicElement(object):
def __init__(self):
pass
def __and__(self, other):
if not isinstance(other, _LogicElement):
raise TypeError('The second operand is of invalid type')
return _LogicGate('AND', self, othe... | avallonking/SYSU-iGEM-2014 | server/algorithms/circuit_schemes.py | circuit_schemes.py | py | 5,797 | python | en | code | 0 | github-code | 90 |
15806601147 | from locust import HttpUser, task
input_data = {
"CHAS":{
"0":0
},
"RM":{
"0":6.575
},
"TAX":{
"0":296.0
},
"PTRATIO":{
"0":15.3
},
"B":{
"0":396.9
},
"LSTAT":{
"0":4.98
}
}
class LocustTaskSet(HttpUser):
@task
def get_site(self):
self.clien... | ry-v1/Building-a-CI-CD-Pipeline | locust.py | locust.py | py | 414 | python | uk | code | 0 | github-code | 90 |
22762096569 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
from dragon.vm import torch
from dragon.vm.torch import nn
from seetadet.core.config import cfg
from seetadet.models.build import NECKS
from seetadet.ops.build import build_activation
from se... | seetaresearch/seetadet | seetadet/models/necks/bifpn.py | bifpn.py | py | 4,994 | python | en | code | 1 | github-code | 90 |
18315819779 | N, M = list(map(int, input().split(' ')))
S = input()
# print("%d,%d" % (N, M))
# print(S)
if S[0] == 1 or S[-1] == 1:
print(-1) # no route
exit(0)
pos = len(S) - 1
move = []
while pos >= 0:
if pos - M <= 0:
move.append(pos)
break
found = False
for idx in range(pos - M, pos):
... | Aasthaengg/IBMdataset | Python_codes/p02852/s778010214.py | s778010214.py | py | 602 | python | en | code | 0 | github-code | 90 |
4659168599 | #!/usr/bin/python3
'''
This module contains a class that defines a square.
'''
class Square:
"""
Represents a square.
"""
def __init__(self, size=0, position=(0, 0)):
'''
Initializes a new instance of the Square class.
Args:
size (int): The size of the square. Def... | Nadene381/alx-higher_level_programming | 0x06-python-classes/6-square.py | 6-square.py | py | 2,726 | python | en | code | 0 | github-code | 90 |
10369293472 | from os.path import join, abspath
from os import listdir, remove
from PIL import Image
from PIL.ImageOps import invert, colorize
from typing import ClassVar
def printProgressBar(iteration, total, prefix='', suffix='', decimals=1, length=100, fill='█', printEnd="\r"):
"""
Call in a loop to create terminal prog... | MateuszPerczak/Sounder5 | src/convert.py | convert.py | py | 3,372 | python | en | code | 7 | github-code | 90 |
37902390268 | #Exercise Question 10: Given an input string, count occurrences of all characters within a string
#count("pynativepynvepynative") = {'p': 3, 'y': 3, 'n': 3, 'a': 2, 't': 2, 'i': 2, 'v': 3, 'e': 3}
import sys
inputStr="pynativepynvepynative"
countDict=dict()
for char in inputStr:
count=inputStr.count(char)
... | sevilaybayatli/PYTHS19 | Ex10.py | Ex10.py | py | 361 | python | en | code | 0 | github-code | 90 |
18347604819 | #import math
#import bisect
#import numpy as np
#import itertools
#import copy
import collections
import sys
ipti = sys.stdin.readline
MOD = 10 ** 9 + 7
INF = float('INF')
sys.setrecursionlimit(10 ** 5)
def main():
n = int(input())
print((n-1)*n//2)
if __name__ == '__main__':
main()
| Aasthaengg/IBMdataset | Python_codes/p02924/s113703214.py | s113703214.py | py | 299 | python | en | code | 0 | github-code | 90 |
28406483137 | class Solution(object):
def minSetSize(self, arr):
n = len(arr)
d = {}
for element in arr:
if element in d:
d[element] += 1
else:
d[element] = 1
data = list(d.items())
data.sort(key = lambda x:... | psp515/LeetCode | 1338-reduce-array-size-to-the-half/1338-reduce-array-size-to-the-half.py | 1338-reduce-array-size-to-the-half.py | py | 531 | python | en | code | 1 | github-code | 90 |
18290856579 | N = int(input())
t = []
index = {}
for n in range(N):
si, ti = input().split()
ti = int(ti)
index[si] = n
t.append(ti)
X = input()
ans = 0
for i in range(index[X]+1, N):
ans += t[i]
print(ans) | Aasthaengg/IBMdataset | Python_codes/p02806/s825056925.py | s825056925.py | py | 215 | python | en | code | 0 | github-code | 90 |
41006814288 | #!/usr/bin/python3
import sys
import os
asmName = ''
if len(sys.argv) > 2 and sys.argv[1] == '-f' and len(sys.argv[2]) > 0:
asmName = sys.argv[2]
else:
print("Usage: optimize.py -f assembly.asm")
exit()
asmFile = open(asmName, 'r')
dotIndex = asmName.rfind('.')
if dotIndex < 0:
print("Input file shoul... | minkcv/vm | compiler/optimize.py | optimize.py | py | 7,756 | python | en | code | 28 | github-code | 90 |
20305265691 | # -*- coding: utf-8 -*-
"""
@attention: 定义全局上下文变量
@author: lizheng
@date: 2011-11-28
"""
def config(request):
"""
@attention: Adds settings-related context variables to the context.
"""
import datetime
from django.conf import settings
from www.misc import consts
return {
'DEBUG':... | lantianlz/eqcj | www/misc/context_processors.py | context_processors.py | py | 686 | python | en | code | 0 | github-code | 90 |
1987952869 | # -*- coding:utf-8 -*-
'''
面试64
如何得到一个数据流中的中位数？如果从数据流中读出奇数个数值，那么中位数就是所有数值排序之后位于中间的数值。
如果从数据流中读出偶数个数值，那么中位数就是所有数值排序之后中间两个数的平均值。
面试题64：数据流中的中位数：构建一个最大堆和一个最小堆，分别存储比中位数小的数和大的数。
当目前两堆总数为偶数的时候，把数字存入最大堆，然后重排最大堆，如果最大堆的堆顶数字大于最小堆堆顶数字，
则把两个堆顶数字交换，重排两堆，此时两堆数字总数为奇数，直接输出最大堆堆顶数字即为中位数；
如果当前两堆总数为技术的时候，把数字存入最小堆，重排最小堆，
如果最大堆的堆... | chimuuu/offercode | offer64.py | offer64.py | py | 3,110 | python | zh | code | 6 | github-code | 90 |
36346991997 | # 画像関係
import cv2
import numpy as np
# システム関係
import os
import sys
# 画面情報
from screeninfo import get_monitors
# json
import json
# GUI関係
import pyautogui
def main():
# コマンドライン引数
args = sys.argv
# 入力ファイル名
input_fname = args[1]
if not os.path.exists(input_fname):
print("ファイルが存在しません")
... | KinoshitaYstr/keppeki_movie_transform_system | cui/1_cui.py | 1_cui.py | py | 4,140 | python | ja | code | 0 | github-code | 90 |
41630359125 | import tkinter as tk
from tkinter import ttk
import ui.admin.admin_page as admin
from entities.student import Student
from repositories.semi_year_repo import get_semi_years_values
from repositories.student_group_repo import get_student_groups_values
from repositories.student_repo import get_students, delete_student
fr... | rares01/OrarQA | ui/admin/views/students_view.py | students_view.py | py | 9,470 | python | en | code | 0 | github-code | 90 |
44238822535 | import os
import numpy as np
import time
import shutil
ROOT_PATH = "/home/umut/datasets_raw/Roboflow"
SAVE_ROOT_PATH = "/home/umut/dataset_no_duplicate_names"
sub_dirs = os.listdir(ROOT_PATH)
print(sub_dirs)
all_paths_images = []
all_paths_labels = []
saved_names = dict()
for dir in sub_dirs:
current_sub_dir ... | ozy5/Apply_YOLO_Annotations | get_unique_images_and_annotations.py | get_unique_images_and_annotations.py | py | 1,985 | python | en | code | 0 | github-code | 90 |
24223398639 | import argparse
from freewillai.contract import TokenContract
from freewillai.common import Provider
from freewillai.exceptions import UserRequirement
from freewillai.utils import get_account, load_global_env
def cli():
parser = argparse.ArgumentParser()
parser.add_argument('-m', '--mint', type=int)
pars... | hackcheek/gnosis-freewillai-hackaton | token_owner.py | token_owner.py | py | 2,184 | python | en | code | 0 | github-code | 90 |
17668439002 | #!/usr/bin/env python
# coding: utf-8
# Import standard libraries
import glob
import pickle
from collections import defaultdict
import json
import pandas as pd
# Import custom libraries
import utils
property_set='p10'
partitions=['partial', 'full']
extractors=['gold', 'auto']
datasets=['PD1', 'PD2', 'PD3', 'PD4', 'F... | cltl/LongTailIdentity | analysis/distinguishability.py | distinguishability.py | py | 7,928 | python | en | code | 1 | github-code | 90 |
3391379584 | from src.database import db
from dataclasses import dataclass
import datetime
@dataclass
class Buscar:
userId : str
nick : str
timestamp : datetime.datetime
agent : bool
profileLink : str # perfil LA
profileLink2 : str # perfil comunidad... | leafylemontree/nati_amino-bot | src/special/lideramino/buscar.py | buscar.py | py | 8,172 | python | es | code | 5 | github-code | 90 |
11797538051 | from datetime import datetime, timedelta
import random
from flask.helpers import get_root_path
from dashlib import *
def register_dashapp(my_app, title, base_pathname, layout, register_callbacks_fun):
# Meta tags for viewport responsiveness
meta_viewport = {"name": "viewport", "content": "width=device-width, i... | sidec15/user-dashboard | app.py | app.py | py | 2,211 | python | en | code | 0 | github-code | 90 |
44778630136 | import gym
import numpy as np
import tensorflow as tf
from tf_agents.networks import actor_distribution_network
from tf_agents.agents.reinforce import reinforce_agent
train_env = gym.make('gym_terminal:terminal-v0')
# step = env.reset()
# print('Reset:')
# print(step)
# action = "ls -R /"
# next_step = env.step(act... | sniper7kills/PY-Gym-Terminal-Env | main.py | main.py | py | 981 | python | en | code | 0 | github-code | 90 |
22056660052 | #-*- coding: UTF-8 -*-
import datetime
import time
import json
import uuid
import os
import os.path
import hashlib
import platform
import traceback
from collections import OrderedDict
import functools
#// The internal representation of Time uses FILETIME, whose epoch is 1601-01-01
#// 00:00:00 UTC. ((19... | reinhardtken/refresh_phone | python/ctp_py/util/utility.py | utility.py | py | 13,546 | python | en | code | 0 | github-code | 90 |
17950125039 | h,w=map(int,input().split())
a=[]
for _ in range(h):
a+=list(input())
four=(h//2)*(w//2)
two=h%2*w//2+w%2*h//2
one=(h%2)*(w%2)
import collections
c = collections.Counter(a)
#print(four,two,one)
d=list(c.values())
d.sort()
for item in d:
if item==1:
if one==1:
one-=1
else:
... | Aasthaengg/IBMdataset | Python_codes/p03593/s741760295.py | s741760295.py | py | 1,119 | python | en | code | 0 | github-code | 90 |
43494674304 | import logging
import time
import pandas as pd
from src.data_preprocessing import TrainTestGenerator
logger = logging.getLogger(__name__)
def compute_ranks(train, test, recommended):
train = train.copy()
test = test.copy()
recommended = recommended.copy()
# Remove train items from recommended
... | tm1897/mlg_cs224w_project | src/evaluator.py | evaluator.py | py | 7,498 | python | en | code | 8 | github-code | 90 |
23720602668 | #coding: utf-8
from datetime import datetime
from flask import render_template, url_for, redirect, request, Blueprint
import mistune
from official.models import db, Stb, ImageVote, Post, PeopleShow, Weibo, ListImage
from config import YOUKU_CLIENT_ID
user_view = Blueprint("user_view", __name__, template_folder="templ... | zhangshy/myofficial | official/userView.py | userView.py | py | 2,837 | python | en | code | 0 | github-code | 90 |
17590711446 | import gym
import pygame
from ursina import *
from ursina.prefabs.first_person_controller import FirstPersonController
from pygame.locals import *
import os, sys
from controller.ai_controller import Learner, QLearner, SARSALearner
from controller.game_controller import GameController, UniColoredGameController
from cont... | Miguel26-pixel/FEUP-IART | Project2/view/menu.py | menu.py | py | 3,802 | python | en | code | 1 | github-code | 90 |
6326909267 | import mock
import crittercism.client
from tests.base import BaseTestCase
class CrittercismClientTestCase(BaseTestCase):
def setUp(self):
self.standard_headers = {
'Accept-Encoding': 'gzip, deflate, sdch',
'Accept-Language': 'en-US,en;q=0.8',
'Accept': 'application/j... | crittercism/integration_newrelic | tests/test_crittercism_client.py | test_crittercism_client.py | py | 2,512 | python | en | code | 2 | github-code | 90 |
18420024999 | def main():
s = list(input())
n = len(s)
cnt0, cnt1 = 0, 0
for i in range(n):
if i % 2 == 0 and s[i] != "0":
cnt0 += 1
elif i % 2 == 1 and s[i] != "1":
cnt0 += 1
for i in range(n):
if i % 2 == 0 and s[i] != "1":
cnt1 += 1
elif i %... | Aasthaengg/IBMdataset | Python_codes/p03073/s888884605.py | s888884605.py | py | 435 | python | en | code | 0 | github-code | 90 |
18265339239 | import sys
input = lambda : sys.stdin.readline().rstrip()
sys.setrecursionlimit(max(1000, 10**9))
write = lambda x: sys.stdout.write(x+"\n")
n,k = map(int , input().split())
i = 0
while pow(k, i)<=n:
i += 1
print(i) | Aasthaengg/IBMdataset | Python_codes/p02766/s211593479.py | s211593479.py | py | 221 | python | en | code | 0 | github-code | 90 |
71226620776 | import argparse
import os
import platform
import shutil
import time
from pathlib import Path
import cv2
import torch
import copy
import torch.backends.cudnn as cudnn
from numpy import random
from torch import nn
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
from models.experimental import a... | zigangzhao-ai/yolov5_dms | yolov5s_dms/detect_class_hand_pinjie.py | detect_class_hand_pinjie.py | py | 15,700 | python | en | code | 1 | github-code | 90 |
18441636459 | #!/usr/bin/python3
import bisect
# from collections import Counter, deque, OrderedDict, defaultdict
# from copy import copy, deepcopy # pythonのみ．copyは1次元，deepcopyは多次元．
# from functools import reduce
# from heapq import heapify, heappop, heappush
# from itertools import accumulate, permutations, combinations, combinatio... | Aasthaengg/IBMdataset | Python_codes/p03112/s659307789.py | s659307789.py | py | 1,534 | python | en | code | 0 | github-code | 90 |
3096493722 | # -*- coding: utf-8 -*-
__author__ = 'Marc Tudurí'
__email__ = 'marctc@gmail.com'
__version__ = '0.8'
PUPUT_APPS = (
# Wagtail apps
'wagtail',
'wagtail.admin',
'wagtail.documents',
'wagtail.snippets',
'wagtail.users',
'wagtail.images',
'wagtail.embeds',
'wagtail.search',
'wagta... | madicorp/wafa | puput/__init__.py | __init__.py | py | 572 | python | en | code | 0 | github-code | 90 |
18571905089 | import sys
import io
import math
import string
# solution
sys.setrecursionlimit(100001)
def input():
return sys.stdin.readline()[:-1]
def dfs(v):
ret = True
for u, d in es[v]:
if x[u] == None:
x[u] = x[v] + d
ret = ret and dfs(u)
elif x[u] != x[v] + d:
r... | Aasthaengg/IBMdataset | Python_codes/p03450/s105333857.py | s105333857.py | py | 744 | python | en | code | 0 | github-code | 90 |
74785456617 | import math
class Solution:
# @param n, an integer
# @return an integer
def reverseBits(self, n):
g=31
answer=0
for i in range(32):
i=n%2
if(i==1):
answer+=int(math.pow(2, g))
n=n//2
g-=1
return answer
var=Sol... | codejigglers/leetcodes | reverseBiths.py | reverseBiths.py | py | 356 | python | en | code | 0 | github-code | 90 |
72221695658 |
# Receives a file as an input and filters a specific number in the file,
# and puts out the average of that number
fname = input('Enter file name: ')
read_file = open(fname)
count = 0
line_float = 0
for line in read_file:
line = line.rstrip()
if not line.startswith("X-DSPAM-Confidence:"):
continue
... | AmanuelFeyissa/Runway | Python/Projects To Show/file manipulation/file_man.py | file_man.py | py | 559 | python | en | code | 0 | github-code | 90 |
37016914823 | import time
import alarm
import supervisor
import alarm
from adafruit_magtag.magtag import MagTag
# Change this to the hour you want to check the data at, for us its 8pm
# local time (eastern), which is 20:00 hrs
DAILY_UPDATE_HOUR = 20
# Set up where we'll be fetching data from
DATA_SOURCE = "http://gas-monitor.isiai... | iainnash/ethdenver-hardware-hack-demos | magtag/device/gas_price_display.py | gas_price_display.py | py | 2,159 | python | en | code | 3 | github-code | 90 |
10121444857 | import datetime as dt
import requests
import json
import base64
import os
import secrets
import sys
sys.path.insert(0, '../')
from utils import *
class MosipSession:
def __init__(self, server, user, password, appid='regproc', ssl_verify=True):
self.server = server
self.user = user
self.pass... | mosip/mosip-infra | deployment/sandbox-v2/test/regproc/api.py | api.py | py | 9,916 | python | en | code | 15 | github-code | 90 |
29868651390 | #-*-coding:utf-8-*-#
import jieba
jieba.load_userdict("mydict.txt")
diction = {}
fr = open("./model/2.txt","r")
line = fr.readline()
c = 0
while line:
c +=1
res = jieba.lcut(line)#分词为list
for word in res:
if word in diction:
diction[word] += 1
else:
diction[word] = ... | LiXianyao/mesgTreeTest | wordCount.py | wordCount.py | py | 383 | python | en | code | 0 | github-code | 90 |
1273779230 | #encoding: utf-8
import json
from django import template
from django.conf import settings
register = template.Library()
@register.inclusion_tag('laws/bill_full_name.html')
def bill_full_name(bill):
return { 'bill': bill }
@register.inclusion_tag('laws/bill_list_item.html')
def bill_list_item(bill, add_li=True,... | ofri/Open-Knesset | laws/templatetags/bills_tags.py | bills_tags.py | py | 5,488 | python | en | code | 96 | github-code | 90 |
21392778969 | x, y = symbols("x y", positive=True, real=True)
def g(x, ac, bc, cabc):
return (1-x)*ac + x * bc - x*(1-x)*cabc
cgainp = 0.65
cgainas = 0.477
cinasp = 0.1
cgaasp = 0.19
gaas = 1.423
inas = 0.356
inp = 1.353
gap = 2.777
fgainasp=x*(1-x)*((1-y)*g(x,gap,inp,cgainp)\
+ y*g(x, gaas, inas, cgainas))\
... | sposs/Documents | Paris_NOTEDEV_Python/sympy2.py | sympy2.py | py | 445 | python | en | code | 1 | github-code | 90 |
72705012137 | # Binary Search Algorithm
# TO DO
# pass the array
# Add case where 1 element
#import sys
arr = [5, 17, 23, 33, 39, 44, 58, 62, 70, 74, 82, 99]
end = len(arr)
start = 0
#sys.setrecursionlimit(40000)
def binarySearch(arr, start, end, x):
#print("This is end: {}".format(end))
mid = int((end + start)/2)
#p... | geekchick/search | binarysearch.py | binarysearch.py | py | 890 | python | en | code | 0 | github-code | 90 |
73346641257 | import os
import argparse
from exputils.configurations import Config, create_object_from_config
from exputils.utils import eprint
def parse_arguments():
parser = argparse.ArgumentParser()
parser.add_argument('--config-file', dest='config_file')
return parser.parse_args()
if __name__ == '__main__':
... | danielecastellana22/exputils | preprocess.py | preprocess.py | py | 690 | python | hi | code | 0 | github-code | 90 |
2797763916 |
import random
# prompt the user for the names of the players
# use the names entered to build up a list of dictionaries
# players = [{'name': 'Billy', 'chips': 3}, {'name': 'Janice', 'chips': 3}, {'name': 'Beatrice', 'chips': 3}]
def get_players():
players = []
while True:
name = input('Enter a name ... | PdxCodeGuild/class_salmon | 1 Python/solutions/mob06_lcr.py | mob06_lcr.py | py | 4,127 | python | en | code | 5 | github-code | 90 |
71375040938 | def print_tree(node):
width, height, pos_root, block = pretty_tree(node)
for value in block:
print(value)
def pretty_tree(node):
value = str(node.value)
length = len(value)
if node.left is None and node.right is None:
return length, 1, length / 2, [value]
bottom_left_block =... | ivanna-ostrovets/compilation-theory | scripts/draw_tree.py | draw_tree.py | py | 2,709 | python | en | code | 0 | github-code | 90 |
18419269109 | N = int(input())
H = list(map(int,input().split()))
Hmax=H[0]
cnt = 1
for i in range(1,N):
if Hmax<=H[i]:
cnt += 1
Hmax = max(Hmax,H[i])
print(cnt) | Aasthaengg/IBMdataset | Python_codes/p03072/s957386040.py | s957386040.py | py | 163 | python | en | code | 0 | github-code | 90 |
44447940363 | from causallearn.search.ScoreBased.GES import ges
import pandas as pd
# Visualization using pydot
from causallearn.utils.GraphUtils import GraphUtils
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import io
import pydot
import numpy as np
from sklearn.manifold import TSNE
from causallearn.score.Loc... | Maurice-1235/vis-dashboard | backend/func.py | func.py | py | 3,122 | python | en | code | 0 | github-code | 90 |
70620089897 | # -*- coding: utf-8 -*-
"""
Created on Fri Aug 31 21:40:12 2018
@author: xuanm
"""
import numpy as np
import tensorflow as tf
import nexfile
from my_nex_class import my_nex_class
from sklearn.metrics import r2_score
from sklearn.metrics import explained_variance_score
def get_one_minute_data(bin_size,start_min,X,y):
... | xuanma/python_for_neuroexplorer | greyson_emg.py | greyson_emg.py | py | 3,999 | python | en | code | 0 | github-code | 90 |
70995487337 | import math
import chess
'''
Given a FEN, the program returns the best move.
Has opening lines, basic endgame knowledge.
consider moves -> min_max evaluation using alpha beta -> evaluate
Criteria:
1. Material imbalance
2. Piece Activity
'''
class ChessEngine:
def __init__(self, depth=4, fen=chess.STARTING_FEN)... | hiradd0306/Chess-Engine | engine_2022.py | engine_2022.py | py | 11,502 | python | en | code | 0 | github-code | 90 |
10561098384 | import nfl_veripy.constraints as constraints
import numpy as np
from nfl_veripy.dynamics import ISS
dynamics = ISS()
init_state_range = 1 * np.ones((dynamics.n, 2))
init_state_range[:, 0] = init_state_range[:, 0] - 0.5
init_state_range[:, 1] = init_state_range[:, 1] + 0.5
iss_xs, iss_us = dynamics.collect_data(
t... | afronautsam/nfl_veripy | src/nfl_veripy/utils/iss_data_generating.py | iss_data_generating.py | py | 778 | python | en | code | null | github-code | 90 |
38721492506 | import cv2
import numpy as np
import tensorflow as tf
import keras.backend as K
def to_rgb(bgr):
'''
Convert an image's channels from
BGR to RGB.
'''
return cv2.cvtColor(bgr, cv2.COLOR_BGR2RGB)
def rgb_read(img_path):
'''
Read an image file as a RGB image.
'''
return to_rgb(cv2.i... | christeefy/LimeLight | limelight/pkg_utils.py | pkg_utils.py | py | 2,732 | python | en | code | 1 | github-code | 90 |
17515396745 | import torch
import open3d
import numpy as np
from torch.utils.data import Dataset
try:
from torch_points_kernels import knn
USING_TORCH_POINTS_KERNELS = True
except(ModuleNotFoundError, ImportError):
USING_TORCH_POINTS_KERNELS = False
class RandLaNetDataset(Dataset):
def __init__(self, clouds_coords, cloud... | ToyOwl/classified_pixels | segmentation_models/datasets/RandLaNetDataset.py | RandLaNetDataset.py | py | 7,112 | python | en | code | 0 | github-code | 90 |
42950059527 | #!/usr/bin/env python3
import sys
import os
import re
import time
from os.path import isdir, isfile, join, splitext
from termcolor import colored
VIDEOQUALITY = ["480p", "720p", "1080p"]
FORMAT = ["BluRay", "Bluray", "Web-DL", "WEB-DL", "WebRip", "WEBRip", "AMZN", "NF", "WEB", "PROPER", "REPACK", "UNRATED", "REMASTE... | nasfiles/organiser | filerename.py | filerename.py | py | 7,457 | python | en | code | 0 | github-code | 90 |
12333673887 | #!/usr/bin/env python3
# 2020-04
# https://www.python-course.eu/python3_class_and_instance_attributes.php
# Class and Instance Attributes
# Static Methods
#
# We can make public (class) attributes private as well.
#
# We want a method, which we can call via the class name or via the instance
# name without the necessi... | philippdrebes/MSCIDS_PDS01 | Pycharm/SW09/python-course.eu/oop2/22_class-and-instance-attributes-static-methods-robo-01.py | 22_class-and-instance-attributes-static-methods-robo-01.py | py | 1,455 | python | en | code | 0 | github-code | 90 |
41116805848 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="AsyncExclusivePeriods",
version="1.12",
author="Antas",
author_email="",
description="Think about such scene, some object has different state or periods, well we call periods.Among these p... | monk-after-90s/AsyncExclusivePeriods | setup.py | setup.py | py | 918 | python | en | code | 0 | github-code | 90 |
25302548552 | # Version info
__version__ = '0.9.1'
__license__ = 'MIT'
# Project description(s)
__description__ = 'Pretty console printing of tabular data'
# The project's main homepage.
__url__ = 'https://github.com/nirum/tableprint'
# Author details
__author__ = 'Niru Maheswaranathan'
__author_email__ = 'niru@hey.com'
| nirum/tableprint | tableprint/metadata.py | metadata.py | py | 311 | python | en | code | 169 | github-code | 90 |
23815936347 | from __future__ import annotations
import typing as t
import click
from globus_cli.parsing import command
from globus_cli.reflect import walk_contexts
from globus_cli.types import ClickContextTree
def _print_command(cmd_ctx: click.Context) -> None:
# print commands with short_help
short_help = cmd_ctx.comm... | globus/globus-cli | src/globus_cli/commands/list_commands.py | list_commands.py | py | 1,844 | python | en | code | 67 | github-code | 90 |
17358717624 | from common import *
CHAINS=sess.get("https://relay-api-33e56.ondigitalocean.app/api/crosschain-config").json()
res = [HEADER]
for c1 in CHAINS:
cid = c1["chainId"]
name = chainid2name(c1["networkId"])
print(cid, name)
rpcs = chain2rpcs(c1["networkId"])
if not rpcs:
print("no such r... | DeFiEye/BridgeEye | crosschain/relay.py | relay.py | py | 1,646 | python | en | code | 45 | github-code | 90 |
24426560888 | import numpy as np
import glob
import os
from scipy import spatial
import pickle
# Please change this to your location
data_root = '/data/xincoder/ApolloScape/'
history_frames = 6 # 3 second * 2 frame/second
future_frames = 6 # 3 second * 2 frame/second
total_frames = history_frames + future_frames
# xy_range = 1... | xincoder/GRIP | data_process.py | data_process.py | py | 8,124 | python | en | code | 143 | github-code | 90 |
37088487652 | from typing import Optional
import streamlit as st
from langchain.chat_models import ChatOpenAI
from langchain.prompts import ChatPromptTemplate
from langchain.chains import SequentialChain, LLMChain
poem_title_suggestion_prompt_template = ChatPromptTemplate.from_template(
"""Suggest a title for a poem with ... | rexsimiloluwah/streamlit-llm-apps | src/utils/poem_generator.py | poem_generator.py | py | 1,640 | python | en | code | 9 | github-code | 90 |
44750449779 | # -*- coding: utf-8 -*-
"""
本模块提供一些通用的功能
"""
from __future__ import print_function
import sys
import json
import math
import time
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import torch
import jieba
from torch.autograd import Variable
CONNECT_TAG = u'TAG_CON'
BEGIN_TAG = u'TAG_BEG'
END_... | P79N6A/Summer | Python/NLP/WordMap.py | WordMap.py | py | 5,147 | python | en | code | 0 | github-code | 90 |
27089163238 | from spack import *
class Archer(CMakePackage):
"""ARCHER, a data race detection tool for large OpenMP applications."""
homepage = "https://github.com/PRUNERS/ARCHER"
url = "https://github.com/PRUNERS/archer/archive/v1.0.0.tar.gz"
version('1.0.0', '790bfaf00b9f57490eb609ecabfe954a')
depend... | matzke1/spack | var/spack/repos/builtin/packages/archer/package.py | package.py | py | 694 | python | en | code | 2 | github-code | 90 |
18317076009 | import sys
n = int(input())
a = list(map(int, input().split()))
cnt = 0
ave = sum(a)/2
for i in range(n):
cnt += a[i]
if cnt == ave:
print(0)
sys.exit()
elif cnt > ave:
x = ave -cnt +a[i]
if x >= cnt -ave:
x = cnt -ave
break
print(int(x*2)) | Aasthaengg/IBMdataset | Python_codes/p02854/s323375737.py | s323375737.py | py | 314 | python | en | code | 0 | github-code | 90 |
18686622826 | # -*- coding: utf-8 -*-
"""
Created on Wed May 2 20:13:51 2018
@author: Administrator
"""
import func_def as func
def analysis_protocol(protocol_str):
protocol_info = func.data_split(protocol_str,'DATA_INFO_for_switch')
if func.data_verify(protocol_str) == 0:
print("数据有错误")
re... | VicWang233/tools_for_S31 | protocol_config_apply_to_get_switching_value.py | protocol_config_apply_to_get_switching_value.py | py | 4,550 | python | en | code | 1 | github-code | 90 |
18323610019 | from collections import*
n=input()
a=list(map(int,input().split()))
d=dict(Counter(a))
mod=998244353
ans=a[0]==0 and d[0]==1
for i in d:
if i==0:continue
ans*=pow(d.get(i-1,0),d[i],mod)
ans%=mod
print(ans) | Aasthaengg/IBMdataset | Python_codes/p02866/s439758401.py | s439758401.py | py | 211 | python | en | code | 0 | github-code | 90 |
42499489901 | #!/usr/bin/python3
'''API module - Task 0'''
import requests
import sys
def show_user_status():
'''Show the currtent state of tasks for the given user id'''
url_tasks = 'https://jsonplaceholder.typicode.com/todos?userId='
url_users = 'https://jsonplaceholder.typicode.com/users?id='
userId = sys.arg... | gorgyboy/holberton-system_engineering-devops | 0x15-api/0-gather_data_from_an_API.py | 0-gather_data_from_an_API.py | py | 1,357 | python | en | code | 0 | github-code | 90 |
15469544148 | import argparse
import colorsys
import itertools
import math
import pprint
import re
import matplotlib.pyplot as pl
pattern_chip = re.compile(r'^(NV.{2,3})[^\t]*\t(.*)$')
pattern_paren = re.compile(r'([^(]*)\(([^)]*)\)(.*)')
pattern_bracket = re.compile(r'([^[]*)\(([^]]*)\)(.*)')
pattern_names = [
[re.compile('... | martin-ueding/graphics-chip-plot | nvidia.py | nvidia.py | py | 6,039 | python | en | code | 0 | github-code | 90 |
34292926827 | # coding=utf-8
"""Unit tests for :mod:`pulp_smash.api`."""
import unittest
from unittest import mock
from packaging.version import Version
from requests import Response
from pulp_smash import api, config
_HANDLER_ARGS = ("client", "response")
@mock.patch.object(api, "safe_handler", lambda *_: _[1])
@mock.patch.ob... | pulp/pulp-smash | tests/test_api.py | test_api.py | py | 11,236 | python | en | code | 3 | github-code | 90 |
15331902155 | import tensorflow as tf
import numpy as np
from tensorflow import keras
from keras.preprocessing import image
np.set_printoptions(threshold=np.inf)
classifier = keras.models.load_model('softmax.h5')
# for p in classifier.get_weights():
# print(p.shape)
"""
Achieve the ouput of the ChestNet in advance
"""
for i ... | Callmejp/DiplomaProject | ChestNet/convert_to_tf.py | convert_to_tf.py | py | 3,431 | python | en | code | 0 | github-code | 90 |
29737487065 | from sql_models.util import is_bigquery, is_athena
from tests.functional.bach.test_data_and_utils import assert_equals_data, get_df_with_test_data
EXPECTED_DATA = [
[1, 1, 'Ljouwert', 'Leeuwarden', 93485, 1285],
[2, 2, 'Snits', 'Súdwest-Fryslân', 33520, 1456],
[3, 3, 'Drylts', 'Súdwest-Fryslân', 3055, 1268... | massimo1220/objectiv-analytics-main | bach/tests/functional/bach/test_df_rename.py | test_df_rename.py | py | 1,955 | python | en | code | 5 | github-code | 90 |
21306327668 | from typing import Any
import pandas as pd
import requests
from fastapi.logger import logger
def send_get(url: str, headers: dict[str, str] | None = None) -> requests.Response | None:
if headers is None:
headers = {}
response = requests.get(url, headers=headers)
if response.status_code == 403:
... | Samoed/EthicsAnalysis | api/app/utils.py | utils.py | py | 766 | python | en | code | 0 | github-code | 90 |
17208475896 | #! /usr/bin/env python3
from collections import OrderedDict, defaultdict
import datetime
import weakref
from PyQt4 import QtCore
import traceback
class Stream(QtCore.QObject):
"""Class representing a data stream.
A stream can have multiple channels. Each time a channel value is updated
the updated s... | luxusv/quadcopter-basestation | stream.py | stream.py | py | 1,846 | python | en | code | 0 | github-code | 90 |
18017420771 | from __future__ import absolute_import
import itertools
import numpy as np
from pytorch_toolbelt.utils.torch_utils import tensor_from_rgb_image
def plot_confusion_matrix(
cm,
class_names,
figsize=(16, 16),
normalize=False,
title="Confusion matrix",
fname=None,
noshow=False,
):
"""Ren... | SysCV/transfiner | pytorch_toolbelt/utils/visualization.py | visualization.py | py | 1,961 | python | en | code | 501 | github-code | 90 |
14477789566 | from flask import Flask, request, render_template, redirect, session
from user import User
app = Flask(__name__)
app.secret_key = "key it safe"
@app.route('/')
def index():
users = User.get_all()
return render_template('index.html', users = users)
# Add a New User
@app.route('/new_user')
def new_user():
... | ttoews6/Codingdojo-Assignments | Python/flask_mysql/users_cr/server.py | server.py | py | 519 | python | en | code | 0 | github-code | 90 |
42751214725 | import asyncio
import aiosqlite
import logging as LOGGER
async def create_conn():
db = Sqlite3Class()
await db._init()
return db
class Sqlite3Class:
# async def __init__(self, loop):
# pass
# self.conn = await aiosqlite.connect("pythonsqlite.db", loop=loop)
# self.cursor = await self.co... | kmnx/wombot-asyncio | aiosqliteclass.py | aiosqliteclass.py | py | 5,787 | python | en | code | 5 | github-code | 90 |
34888094553 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import tensorflow as tf
import numpy as np
class CNN(object):
"""
define all the layers in the convolutional neural network.
tensorflow version is r1.4.
basiclly we use an embedding layer, then a convolutional layer, followed by a pooling layer, end with a ... | yijianTX/58_info_classification | TextClassification/conv_neural_network.py | conv_neural_network.py | py | 5,873 | python | en | code | 0 | github-code | 90 |
5985047920 | from __future__ import print_function
from collections import OrderedDict
import numpy as np
class TorchZND:
def __init__(self):
self.data = OrderedDict([])
self.npdata = None
self.file_objs = []
self.header = []
def readcat(self,fnames):
self.__init__()
# fnames: list of Torch output files to concatena... | Flash-Star/nucplotlib | Torch.py | Torch.py | py | 2,403 | python | en | code | 2 | github-code | 90 |
18439807259 | N = int(input())
ans = 0
b = 380000.0
for i in range(N):
s = list(input().split())
if s[1] == "JPY":
ans += int(s[0])
else:
ans += float(s[0]) * b
print(ans) | Aasthaengg/IBMdataset | Python_codes/p03110/s370789283.py | s370789283.py | py | 171 | python | en | code | 0 | github-code | 90 |
18586468749 | # import numpy as np
import sys, math
from itertools import permutations, combinations
from collections import defaultdict, Counter, deque
from math import factorial, gcd
from bisect import bisect_left, bisect_right
sys.setrecursionlimit(10 ** 7)
enu = enumerate
MOD = 10 ** 9 + 7
input = lambda: sys.stdin.readline()[:... | Aasthaengg/IBMdataset | Python_codes/p03486/s112519270.py | s112519270.py | py | 716 | python | en | code | 0 | github-code | 90 |
18409991299 | import sys
readline = sys.stdin.readline
def main():
N = int(readline())
cnt = 0; leftB = 0; rightA = 0; same = 0
for _ in range(N):
s = readline()[:-1]
for i in range(len(s)-1):
subs = s[i:i+2]
cnt += subs == 'AB'
leftB += s[0] == 'B'
rightA += s[-... | Aasthaengg/IBMdataset | Python_codes/p03049/s415498149.py | s415498149.py | py | 565 | python | en | code | 0 | github-code | 90 |
1535470662 | # level order traversal in binary search tree
'''
approach:
find hight h,
print nodes of all levels, from 1 to h
'''
class Node:
def __init__(self, val):
self.value = val
self.left = None
self.right = None
def insert(self, data):
# no dups allowed
if self... | nirva098/generaltricks | codes/bstlot.py | bstlot.py | py | 2,349 | python | en | code | 0 | github-code | 90 |
2033830665 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Player',
fields=[
('id', models.AutoField(verbo... | JonesAndrew/ChallongeGen | gen/migrations/0001_initial.py | 0001_initial.py | py | 655 | python | en | code | 0 | github-code | 90 |
18290544539 | import sys
input = sys.stdin.readline
N = int(input())
musics = []
for _ in range(N):
s, t = input().split()
musics.append((s.strip(), int(t)))
X = input().strip()
ans = 0
flag = False
for s, t in musics:
if flag:
ans += t
if s == X:
flag = True
print(ans) | Aasthaengg/IBMdataset | Python_codes/p02806/s408659426.py | s408659426.py | py | 291 | python | en | code | 0 | github-code | 90 |
14192087288 | import cv2
import numpy as np
def resize_to_even(im):
""" Resizes an image to have even spatial dimensions. """
shape = np.array(im.shape)
shape[shape % 2 == 1] += 1
height, width, _ = shape
im = cv2.resize(im, (width, height))
return im
def build_gauss_pyramid(im, max_layer=None):
""" B... | maxcrous/magnify_motion | pyramids.py | pyramids.py | py | 3,810 | python | en | code | 6 | github-code | 90 |
73395281898 | # -*- coding: utf8 -*-
from FGAme import *
from random import uniform
import kivy
from kivy.app import App
from kivy.lang import Builder
from kivy.clock import Clock
from kivy.uix.floatlayout import FloatLayout
#=========================================================================
# Cria o mundo
#===============... | bernardohrl/PDS_2016.2 | FGAme/src/FGAme/demos/old/games/kivy3.py | kivy3.py | py | 2,200 | python | en | code | 0 | github-code | 90 |
25007939904 | from typing import List, Optional, Any, Dict
# 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 inorderIterator:
def __init__(self, root) -> None:
self.stack =... | hvijaycse/Leetcode | problems/1305.py | 1305.py | py | 1,565 | python | en | code | 0 | github-code | 90 |
37663776584 | import hmac
import random
import string
from fastapi import APIRouter, Request
from starlette.responses import JSONResponse
from src.cache.cache import redis_cache
from src.database.account.account import Account, TwoFactorLoginData
from src.database.database_sessions import sessions
from src.management_api.admin.aut... | MJ-API-Development/api-gateway | src/management_api/routers/authorization/authorization.py | authorization.py | py | 5,953 | python | en | code | 3 | github-code | 90 |
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