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
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values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
70323451496 | import paho.mqtt.client as mqtt
from random import randint
import time
client=mqtt.Client()
client.connect('broker.hivemq.com',1883)
print('Broker Connected')
while True:
k="{'Humidity':"+str(randint(20,100))
k+=",'Temperature':"+str(randint(20,30))
k+="}"
print(k)
client.publish('gpcet/data',k)
... | maddydevgits/ml-dev-hackathon-2023-gpcet | activity-5/publisher.py | publisher.py | py | 338 | python | en | code | 6 | github-code | 90 |
19164331857 | import streamlit as st
import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
import re
import string
from sklearn.ensemble import RandomForestClassifier
# Sample data - Replace this with your own dataset
data = pd.read_csv("D:\Forage\Internship evaluation\internship task\stock_sentime... | RamuRamu-12/stock-price-prediction | stock_price_prediction.py | stock_price_prediction.py | py | 1,777 | python | en | code | 0 | github-code | 90 |
43631003508 | #O(N)
def sumOfMultiples(a,b,n):
sum = 0
for i in range(a,n):
if i%a==0 or i%b==0:
sum+=i
return sum
print(sumOfMultiples(3,5,1000))
#much faster | pavlomorozov/algorithms | src/project_euler/MultiplesOf3and5.py | MultiplesOf3and5.py | py | 156 | python | en | code | 0 | github-code | 90 |
70135941098 | #!/bin/python
from __future__ import print_function, unicode_literals
from collections import defaultdict
def evendiv(row):
n = len(row)
for i in range(n):
for u in range(i+1, n):
a, b = row[i], row[u]
if b > a:
a, b = b, a
if a % b == 0:
... | hermanschaaf/advent-of-code-2017 | day2-part2.py | day2-part2.py | py | 602 | python | en | code | 0 | github-code | 90 |
30126310505 | import pyglet
import pymunk
from math import degrees
class Entity(pyglet.sprite.Sprite):
def __init__(
self,
image: pyglet.image.AbstractImage,
x: int,
y: int,
width: int = 32,
batch: pyglet.graphics.Batch = None,
) -> None:
super().__init__(
... | KelvinSouza258/Asteroids | src/entities/entity.py | entity.py | py | 1,326 | python | en | code | 0 | github-code | 90 |
41491315564 | import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import time
import tensorflow as tf
import core.utils as utils
from tensorflow.python.saved_model import tag_constants
from core.config import cfg
from PIL import Image
import cv2
import numpy as np
import matplotlib.pyplot as plt
# deep sort imports
... | SpadgerBoy/Video-Synopsis | object_tracker.py | object_tracker.py | py | 8,497 | python | en | code | 2 | github-code | 90 |
41813790147 | import pandas as pd
import tkinter as tk
import xlrd
import docx
from tkinter import filedialog
from tkinter import messagebox
def load_excel():
messagebox.showinfo("Excel File", "Select EXCEL File to Load")
fileName = filedialog.askopenfilename()
wb = xlrd.open_workbook(fileName)
return wb
def File_... | agilewitinternal/CONSEN | consen.py | consen.py | py | 1,391 | python | en | code | 0 | github-code | 90 |
13693713672 | from typing import Dict
import pandas as pd
import datetime as dt
from src.typeDefs.wbesRtmIexRecord import IWbesRtmIexDataRecord
from typing import List
import csv
import numpy as np
def getWbesPxIexData(targetFilePath: str, targetDt : dt.datetime) -> List[IWbesRtmIexDataRecord]:
wbesPxIexRecord: List[IWbesRtmIe... | dheerajgupta0001/rtm_files_data_ingest | src/dataFetchers/wbesPxIexFetcher.py | wbesPxIexFetcher.py | py | 2,474 | python | en | code | 0 | github-code | 90 |
27967728081 | import time
from json import dumps as jdump
from machine import Pin, Timer, I2C, ADC
from ssd1306 import SSD1306_I2C
from max6675 import MAX6675
from picozero import Button
from PID import PID #https://github.com/gastmaier/micropython-simple-pid/blob/master/simple_pid/PID.py
from microdot_asyncio import Microdot, Respo... | vecinimod/pico_espresso | main.py | main.py | py | 19,175 | python | en | code | 7 | github-code | 90 |
2745948985 | # -*- coding: utf-8 -*-
from django.contrib.admin import ModelAdmin, StackedInline, TabularInline
from ..compat import ADMIN_QUERYSET_METHOD_NAME, admin_validation, chain_queryset
from ..exceptions import QueryablePropertyError
from ..managers import QueryablePropertiesQuerySetMixin
from ..utils.internal import Query... | W1ldPo1nter/django-queryable-properties | queryable_properties/admin/__init__.py | __init__.py | py | 7,682 | python | en | code | 63 | github-code | 90 |
16141406614 | from .base_graph import BaseGraph
import itertools
import tensorflow as tf
import tensorflow.keras.layers as layers
from robonet.video_prediction.layers.dnaflow_rnn_cell import RELU_SHIFT
from robonet.video_prediction.ops import pad2d
def apply_cdna_kernels(image, kernels, dilation_rate=(1, 1)):
"""
Args:
... | SudeepDasari/RoboNet | robonet/video_prediction/models/graphs/vgg_conv_graph.py | vgg_conv_graph.py | py | 18,548 | python | en | code | 160 | github-code | 90 |
10874203702 | # import scipy.stats
import numpy as np
from PIL import Image
import time
import functools
import cv2
def Downscale(map, stride=1):
stride = int(stride)
start = stride//2
if len(map.shape) == 1:
return map[start::stride]
elif len(map.shape) == 2:
return map[start::stride, start::stride]... | liuxy1103/BISKD | lib/CGP/aff2ins_util.py | aff2ins_util.py | py | 3,682 | python | en | code | 8 | github-code | 90 |
21669047266 | import weakref
from memory_profiler import profile
from my_classes import LRUCache1, LCSP, LCSPslots, str_generator
@profile
def load():
cache = LRUCache1(1_000_000)
str1, str2 = str_generator(2), str_generator(2)
for i in range(1, 20001):
cache[str(i)] = ""
cache[str(i) + "S"] = ""
... | OLibykov/msu_deep_python2022 | 08/memory_profile.py | memory_profile.py | py | 661 | python | en | code | 0 | github-code | 90 |
27047949748 | #! /usr/bin/env python
#
# Derive the 'demerit' score at a position or a list of positions.
#
# The demerit score is computed at each input position by summing in
# quadrature the individual demerit contributions of each source in an input
# catalogue within a given radius. Suitable input catalogues
# would be the NVSS... | mauch/demerit | scripts/get-demerit.py | get-demerit.py | py | 7,301 | python | en | code | 0 | github-code | 90 |
18530610899 | n = int(input())
s = input()
change = s.count("E")
ans = change
i_o = "dum"
for i in s:
#print(change)
if i == "E":
change -= 1
if i_o == "W":
change += 1
ans = min(change,ans)
i_o = i
print(ans) | Aasthaengg/IBMdataset | Python_codes/p03339/s915348926.py | s915348926.py | py | 231 | python | en | code | 0 | github-code | 90 |
10370404441 | import logging
import logging.config
import random
import numba as nb
import pendulum
from faker import Faker
from faker.providers import DynamicProvider
from smart_queue.analysis import CONFIGURATION_PATH
from smart_queue.db.database import get_all_conditions
logger = logging.getLogger(__name__)
def load_conditio... | 1orange/queue-system-api | smart_queue/analysis/configurations/generator.py | generator.py | py | 1,812 | python | en | code | 0 | github-code | 90 |
26265006419 | fname = "mbox-short.txt"
fhand = open(fname)
count = 0
for line in fhand:
words = line.split()
if not len(words) == 0 and words[0] == "From" :
print(words[1])
count = count + 1
print(count) | rhinshaw253/class-work | Exercise_8_5.py | Exercise_8_5.py | py | 216 | python | en | code | 0 | github-code | 90 |
41806688627 | import csv
# using the ident code of an airport, get the geographical coordinates
def getGeoCoords(ident):
with open('airports.csv', mode='r') as airports_csv:
csv_reader = csv.reader(airports_csv, delimiter=',')
for row in csv_reader:
if ident == row[1]:
return (row[... | BUEC500C1/api-design-brian-macomber | getGeoCoords.py | getGeoCoords.py | py | 353 | python | en | code | 0 | github-code | 90 |
7266063662 | from .helpers import codetest
class TestTable(object):
def test_set_get_str_key_num(self):
ret = codetest("""
x = {}
x["test"] = 99
return x["test"]
""")
assert ret.getval() == 99
def test_set_get_str_key_str(self):
ret =... | fhahn/luna | luna/tests/test_table.py | test_table.py | py | 6,069 | python | en | code | 7 | github-code | 90 |
18362354089 | N, K = map(int, input().split())
A = list(map(int, input().split()))
# A.sort()
totalA = sum(A)
# print (totalA)
def make_divisors(n): #nの約数をO(root(n))で全列挙、sortして取り出すときはO(root(n) log(n))
import math
divisors = []
for i in range(1, int(math.sqrt(n)) + 1):
if n % i == 0: #割り切れるとき
divisors... | Aasthaengg/IBMdataset | Python_codes/p02955/s461308749.py | s461308749.py | py | 899 | python | en | code | 0 | github-code | 90 |
5464309724 | import os
from copy import copy
from itertools import cycle
from pathlib import Path
import matplotlib.pyplot as plt
import matplotlib
import numpy as np
import seaborn as sns
from matplotlib.lines import Line2D
from scipy.stats import mannwhitneyu, pearsonr
from sklearn import metrics
from sklearn.metrics import roc_... | jonasamar/G-Lab-Stabl | stabl/visualization.py | visualization.py | py | 16,366 | python | en | code | 0 | github-code | 90 |
5909025992 | from schemas.schema_mnist import MnistSchema
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.optim.lr_scheduler import StepLR
class CnnMnistSchema(MnistSchema):
class Net(nn.Module):
def __init__(self):
super().__init__()
... | marek094/nn-schemas | schemas/schema_mnist_cnn.py | schema_mnist_cnn.py | py | 3,348 | python | en | code | 0 | github-code | 90 |
18481278989 | '''Yoshichiの日記
あみだくじ。
0本目からスタートし、W本の長さH + 1までにを任意の線を引いた時
K本目にたどり着くパターンは何パターンあるか答えよ。
現在の位置状態での線の引き方を全列挙し、DP(メモ化再帰)を用いて答える。
x → 現在の位置
y → 現在の進み具合
for分のi → 現在の位置にいる時の線の配置状態(1が隣接へつながっているとき)
for分のj → NGパターンの列挙(隣へ繋がっているかつ、
次の隣へも線が引かれている状態)
'''
from collections import defaultdict
h, w, k = map(int, input().... | Aasthaengg/IBMdataset | Python_codes/p03222/s762451553.py | s762451553.py | py | 1,358 | python | ja | code | 0 | github-code | 90 |
21304186353 | from turtle import color
import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
#read image
img = cv.imread('photos\cats.jpg')
cv.imshow('Normal' , img)
#blank image
blank = np.zeros(img.shape[:2] , dtype='uint8')
cv.imshow('blank' , blank)
#grey_scale
gray_img = cv.cvtColor(img , cv.COLOR_BGR2GRAY)
... | es-OmarHani/ImageProcessing_1 | section #2/histograms.py | histograms.py | py | 1,150 | python | en | code | 0 | github-code | 90 |
73502584297 | class Solution:
def rearrangeString(self, s: str, k: int) -> str:
if k == 0:
return s
ch_freq = collections.Counter(s)
ch_heap = [(-1 * freq, ch) for ch, freq in ch_freq.items()]
heapq.heapify(ch_heap)
q = collections.deque()
res = ""
while ch_heap... | BASARANOMO/leetcode-python | solutions/Hard/358. Rearrange String k Distance Apart/solution2.py | solution2.py | py | 656 | python | en | code | 0 | github-code | 90 |
22047616352 | from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream
from kafka import SimpleProducer, KafkaClient
# Twitter API Credentials
consumer_key= "####"
consumer_secret = "####"
access_token = "####"
access_token_secret = "####"
class StdOutListener(StreamListener):
def o... | mvinayak19/Netflix-Twitter-Analysis | src/Kafka-Producer.py | Kafka-Producer.py | py | 882 | python | en | code | 3 | github-code | 90 |
18159393589 | import sys
input = sys.stdin.readline
t = int(input())
po = []
for _ in range(t):
x,y = list(map(int,input().split()))
po.append((x,y))
po.sort()
dp1 = [+(10**99) for _ in range(t)]
for i in range(t):
x,y = po[i][0], po[i][1]
value = x+y
dp1[i] = min(dp1[i-1], value)
dp2 = [+(10**99) for _ in ra... | Aasthaengg/IBMdataset | Python_codes/p02556/s904304812.py | s904304812.py | py | 643 | python | en | code | 0 | github-code | 90 |
10299380285 | import numpy as np
import scipy as s
import scipy.special as special
import scipy.stats as stats
from .basic_distributions import Distribution
from ..utils import *
class Binomial(Distribution):
"""
Class to define Binomial distributions
Equations:
p(x|N,theta) = binom(N,x) * theta**(x) * (1-theta)**... | Starlitnightly/omicverse | omicverse/mofapy2/core/distributions/binomial.py | binomial.py | py | 1,928 | python | en | code | 119 | github-code | 90 |
34561932204 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import schema
from caffe2.python.layers.layers import ModelLayer
import numpy as np
class RandomFourierFeatures(ModelLayer):
"""
Implementat... | facebookarchive/AICamera-Style-Transfer | app/src/main/cpp/caffe2/python/layers/random_fourier_features.py | random_fourier_features.py | py | 3,330 | python | en | code | 81 | github-code | 90 |
15081823691 | import datetime
import math
import pandas as pd
from pprint import pprint
class Athlete:
def __init__(self, fly, start, m60, m100, m200, m400, s15, vert, event, name, num_of_training_days):
self.fly = fly
self.start = start
self.m60 = m60
self.m100 = m100
self.m... | CianODMov/Training | sprint_programmer.py | sprint_programmer.py | py | 17,598 | python | en | code | 0 | github-code | 90 |
18484466639 | #!/usr/bin/env python3
#Tenka1 Programmer Beginner Contest D
import sys
import math
from bisect import bisect_right as br
from bisect import bisect_left as bl
sys.setrecursionlimit(1000000000)
from heapq import heappush, heappop,heappushpop
from collections import defaultdict
from itertools import accumulate
from coll... | Aasthaengg/IBMdataset | Python_codes/p03230/s695173374.py | s695173374.py | py | 1,407 | python | en | code | 0 | github-code | 90 |
13003040188 |
T = int(input())
for tc in range(1, T+1):
N = int(input())
line = []
stop = []
output = []
C = [0 for _ in range(5001)]
for i in range(N):
li = list(map(int, input().split()))
line.append(li)
P = int(input())
for _ in range(P):
p = int(input())
stop.a... | hyeinkim1305/Algorithm | SWEA/D3/SWEA_6485_삼성시의버스노선.py | SWEA_6485_삼성시의버스노선.py | py | 543 | python | en | code | 0 | github-code | 90 |
14878569904 | import os
from data_loader import *
from prostate_seg import *
import torch
from torch.utils.data import DataLoader
from torch.optim import Adam
from torch.nn import CrossEntropyLoss,BCEWithLogitsLoss, L1Loss
import time
from tqdm import tqdm
from sklearn.model_selection import train_test_split
import config
import uti... | Cambn/prostate_cancer_diagnosis | main.py | main.py | py | 5,670 | python | en | code | 0 | github-code | 90 |
37777840660 | from astrobin.models import Telescope, Camera, Software, Filter, Mount, Accessory, FocalReducer
TYPES_LOOKUP = {
'Telescope': Telescope.TELESCOPE_TYPES,
'Camera': Camera.CAMERA_TYPES,
'Software': Software.SOFTWARE_TYPES,
'Filter': Filter.FILTER_TYPES,
}
CLASS_LOOKUP = {
'Telescope': Telescope,
... | astrobin/astrobin | astrobin/gear.py | gear.py | py | 1,843 | python | en | code | 100 | github-code | 90 |
32817528923 | import logging
import os.path
import re
import time
import typing
from urllib.parse import urlparse
import qbittorrentapi
import byre.clients
from byre import utils
from byre.clients.data import LocalTorrent, TorrentInfo
_logger = logging.getLogger("byre.bt")
_debug, _info, _warning, _fatal = _logger.debug, _logger.... | yesh0/byre | byre/bt.py | bt.py | py | 7,209 | python | en | code | 6 | github-code | 90 |
34802286240 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('tasks', '0001_initial'),
]
opera... | SamuelDauzon/Improllow-up | tasks/migrations/0002_auto_20150920_0134.py | 0002_auto_20150920_0134.py | py | 836 | python | en | code | 1 | github-code | 90 |
110860032 | plik1 = open('liczby1.txt')
plik2 = open('liczby2.txt')
dziesietne = plik2.read().splitlines()
osemkowe = plik1.read().splitlines()
rowne = 0
wieksza = 0
for i, x in enumerate(dziesietne):
if int(dziesietne[i]) == int(osemkowe[i], 8):
rowne += 1
if int(dziesietne[i]) < int(osemkowe[i], 8):
wie... | dexterowy/matura_inf | 62/62-3.py | 62-3.py | py | 370 | python | pl | code | 1 | github-code | 90 |
70713901417 | #!/usr/bin/env python
__author__ = 'xinya'
from .meteor.meteor import Meteor
from .bleu.bleu import Bleu
from .rouge.rouge import Rouge
from .cider.cider import Cider
from collections import defaultdict
from argparse import ArgumentParser
import sys
import imp
from nltk.tokenize import word_tokenize
imp.reload(sys)
#... | EducationalTestingService/inquisitive-questions | src/utils/eval.py | eval.py | py | 3,992 | python | en | code | 0 | github-code | 90 |
1523551187 | class Solution:
def canJump(self, nums: List[int]) -> bool:
n = len(nums)
num = 0
for i in range(n):
if num < i:
return False
num = max(num,i+nums[i])
return True | Chasith-Randima/leetcode | 0055-jump-game/0055-jump-game.py | 0055-jump-game.py | py | 241 | python | en | code | 0 | github-code | 90 |
38154112325 | import mmpose
import mmdet
import torch
from util import download_checkpoint
from mmdet.apis import init_detector, inference_detector
from mmpose.apis import inference_top_down_pose_model, init_pose_model, process_mmdet_results, vis_pose_result
import cv2
# Blog: https://blog.csdn.net/fengbingchun/article/details/1266... | fengbingchun/PyTorch_Test | demo/openmmlab/test_mmpose_2d_hand_pose_estimation.py | test_mmpose_2d_hand_pose_estimation.py | py | 2,530 | python | en | code | 14 | github-code | 90 |
18373942609 | import bisect
import collections
import copy
import functools
import heapq
import math
import sys
from collections import deque
from collections import defaultdict
input = sys.stdin.readline
sys.setrecursionlimit(10**9)
INF = float("inf")
MOD = 10**9+7
kaijo_memo = []
def kaijo(n):
if(len(kaijo_memo) > n):
retur... | Aasthaengg/IBMdataset | Python_codes/p02985/s756104061.py | s756104061.py | py | 1,774 | python | en | code | 0 | github-code | 90 |
18296621249 | import sys
import itertools
def is_prime(x):
if x == 2:
return True
pred = lambda v: v * v <= x
it = itertools.chain((2,), itertools.count(3, 2))
return not any(not (x % i) for i in itertools.takewhile(pred, it))
def resolve(in_):
X = int(next(in_))
for i in itertools.count(X... | Aasthaengg/IBMdataset | Python_codes/p02819/s962112721.py | s962112721.py | py | 472 | python | en | code | 0 | github-code | 90 |
41520117396 | import pytest
from hamcrest import assert_that, contains_inanyorder
from tests.testing_utils import param_wrapper, run_flake8, run_pylint
strip_params = [
# code, flake8 rules, pylint rules
param_wrapper("s.strip('abca')", {'B005'}, set(), id='strip_string'),
param_wrapper(r"s.strip(r'\n\t ')", {'B005'}, ... | nathfroech/flake8_pylint_comparison | tests/test_string_operations.py | test_string_operations.py | py | 1,154 | python | en | code | 0 | github-code | 90 |
20165321208 | import json
mock_data = {
"id": 1,
"title": "MyQuiz 1",
"questions": [
{
"id": 1,
"title": "What is the largest city in the United States by population?",
"index": 1,
"options": [
"New York",
"Los Angeles",
"Chicago",
"Houston"
],
"answer": "... | ISSSE31PTDMSSGroup4/mse-chat-api-gateway | api_gateway_stack/mock_lambda_stack/quiz/GetQuizDetail/lambda_function.py | lambda_function.py | py | 1,808 | python | en | code | 0 | github-code | 90 |
29156124191 | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 18 13:50:01 2019
@author: jagma
"""
import math # Importing Maths Packages
import matplotlib.pyplot as plt # Importing Ploting Package
import numpy as np
x = np.linspace(0, 2, 100) # Defining x-array
y, y1 = [], [] # Defining Empty y-arrays
for i in range(len(x)):... | jagman014/PythonProjects | Misc/TestScripts/TestPlot.py | TestPlot.py | py | 1,857 | python | en | code | 0 | github-code | 90 |
74895445096 | #!/usr/bin/env python3
import argparse
from typing import Tuple, List
import spacy
from cassis import *
from icecream import ic
from loguru import logger
from pagexml.model.physical_document_model import PageXMLTextRegion
from pagexml.parser import parse_pagexml_file
typesystem_xml = 'data/typesystem.xml'
spacy_core ... | brambg/globalise-tools | scripts/gt-pagexml-to-uima-cas.py | gt-pagexml-to-uima-cas.py | py | 4,190 | python | en | code | 0 | github-code | 90 |
43956950811 | """
Program to calculate and display a user's bonus based on sales.
If sales are under $1,000, the user gets a 10% bonus.
If sales are $1,000 or over, the bonus is 15%.
"""
# keep asking for sales until the sales is a negative number
sales = float(input("Enter sales: $"))
while sales >= 0:
if sales < 1000:
... | CalumGM/cp1401pracs | Prac_01/sales_bonus.py | sales_bonus.py | py | 480 | python | en | code | 0 | github-code | 90 |
24040545887 | import argparse
from terminaltables import AsciiTable
from rub_salary_hh import get_salaries_total_for_hh, count_vacancies_hh
from rub_salary_job import predict_rub_salary_job
prog_langs = ['Python', 'JavaScript', 'Java', 'PHP', 'C++', 'C#', 'C', 'Go', 'Objective-C', 'Scala', 'Swift']
moscow_id = 1
def make_table(l... | OdintsovTim/average_salary | main.py | main.py | py | 1,698 | python | en | code | 0 | github-code | 90 |
37475011139 | # 新規作成
from django.urls import path
from . import views
urlpatterns = [
# hentai video
path('adult/',views.adult_list, name='adult_list'),
path('adult/edit/<int:id>',views.adult_edit, name='adult_edit'),
# series
path('series/',views.series_list, name='series_list'),
path('series/edit/<str:slug>',views.ser... | rkouno/todoapps | apps/master/urls.py | urls.py | py | 634 | python | en | code | 0 | github-code | 90 |
26848279116 | """ Deck module """
import numpy as np
class Deck:
""" Deck class """
def __init__(self, name=None, reward=None, penalties=None):
self.name = name
self.chosen_cards = 0
self.positive_cards = 0
self.negative_cards = 0
self.last_outcome = None
self.worst_outcome =... | maialenespi/TFG_deliverable | igt_website/backend/deck.py | deck.py | py | 1,526 | python | en | code | 0 | github-code | 90 |
20468726230 | import pytest
import torch
from typing import Set
from src.data.instance import DatasetSplit, Document, Word
from src.features import FeatureExtractor, DocFeature, WordFeature
from src.data.graph import Graph
class TestGraph:
def setup_graph(self,
word_features: Set[WordFeature],
... | akkikiki/diff_joint_estimate | src/tests/test_graph.py | test_graph.py | py | 4,381 | python | en | code | 2 | github-code | 90 |
5579697275 | from random import randint
from hashlib import sha256
from sys import byteorder
MAX_NUMBER_256 = 2 ** 256 - 1
def key_gen():
"""
Key generation:
• Private key: Two pairs of 256 numbers of 256 bits each.
• Public key: Hash each of the 512 numbers of the private key.
"""
# Initialize private ... | abdelhalimresu/blockchain-utxo | lamport.py | lamport.py | py | 3,718 | python | en | code | 0 | github-code | 90 |
10275191887 | import numpy as np
from reconstruct.utils import *
def o2p_mug(P0, Pstar, Pg):
"""
Returns (1) mu_g for given Pg and Pstar.
"""
nz = np.where((P0!=0) & (Pstar!=0))[0]
return np.sum(Pg[nz]*np.log(Pstar[nz]/P0[nz]))
def o2p_rhogk(P0, Pstar, Pg, Pk):
"""
Returns (1) rho_gk for given Pg, P... | andrearama/graph-partition-reconstruction | reconstruct/from_community.py | from_community.py | py | 2,508 | python | en | code | 2 | github-code | 90 |
7491394276 | import datetime
import sys
while True:
age = input("How old are you, good chap?" + "\n")
if age == "stop":
sys.exit()
elif int(age) >= 100:
print("Sod off grandpa.")
else:
now = datetime.datetime.now()
diff = 100-int(age)
print("You will turn 100 in " + str(now.ye... | CodingAlbert/my_practice | practice_python01.py | practice_python01.py | py | 342 | python | en | code | 0 | github-code | 90 |
71497205097 | import math
import numpy as np
import matplotlib.pyplot as plt
def sigmoid(z):
arr = []
for i in z:
arr.append(1.0 / (1.0 + math.exp(-i)))
return arr
# plotting the sigmoid
x = np.arange(-10., 10., 0.1)
s = sigmoid(x)
plt.plot(x, s)
plt.grid(True)
plt.rc('axes', labelsize=14)
plt.rc('font', s... | fpdevil/rise_of_machines | rise_of_machines/sigmoid.py | sigmoid.py | py | 1,375 | python | en | code | 0 | github-code | 90 |
18139172859 | # Aizu Problem ITP_1_6_C: Official House
#
import sys, math, os
# read input:
PYDEV = os.environ.get('PYDEV')
if PYDEV=="True":
sys.stdin = open("sample-input.txt", "rt")
building = {b: [[0] * 10, [0] * 10, [0] * 10] for b in range(1, 5)}
N = int(input())
for k in range(N):
b, f, r, v = [int(_) for _ in inp... | Aasthaengg/IBMdataset | Python_codes/p02409/s864658154.py | s864658154.py | py | 510 | python | en | code | 0 | github-code | 90 |
18865217305 | from sqlalchemy.orm import sessionmaker, scoped_session
from sqlalchemy import create_engine, func
from models import Base, Author, Article
from Bio import Entrez
import ssl
import os
def db_connect(mode = "prod", reset = False):
if mode == "dev":
sqlitePath = 'sqlite:///D:\\Documents\\python\\tes... | JeremyPasco/TAL_M2_SDS | import_data.py | import_data.py | py | 5,577 | python | en | code | 0 | github-code | 90 |
2307368695 | import numpy as np
import datetime
import matplotlib.pyplot as plt
import matplotlib.dates
from utils import util_cache_get, util_cache_store, util_get_period_pricing
import utils
from api import get_data_for_id
'''
Simple code do determine if the item is worthy of an investment.
Criteria:
* Current price needs be ... | sthoresen/osrs-trends | features.py | features.py | py | 13,782 | python | en | code | 0 | github-code | 90 |
19994395841 | import tensorflow as tf
import numpy as np
import sys
def batchnormalize(X, eps=1e-8, g=None, b=None):
return X
if X.get_shape().ndims == 4:
mean = tf.reduce_mean(X, [0,1,2])
std = tf.reduce_mean( tf.square(X-mean), [0,1] )
X = (X-mean) / tf.sqrt(std+eps)
if g is not None and b ... | val-iisc/nag | extras/generator.py | generator.py | py | 5,982 | python | en | code | 31 | github-code | 90 |
3720789001 | # автомат для ввода денег, номиналы 1 грн 50 25 5 1 коп - выдать деньги оптимальным количеством монет
# перевести число в копейки
coin_100 = 100
coin_50 = 50
coin_25 = 25
coin_5 = 5
coin_1 = 1
try:
amount = float(input('amount='))
if amount<0:
raise ValueError("Amount can't be less then 0")
amount... | alexzinoviev/itea_c | base/python_base3_2.py | python_base3_2.py | py | 1,509 | python | en | code | 0 | github-code | 90 |
8556706752 | from socket import *
import threading
from constants import *
def makePORTS(size, offset, mult):
PORTS = []
for i in range(0, size):
PORTS.append(i+mult*offset)
return PORTS
clientSenderPorts = makePORTS(numClients, 10000, 1)
clientReceiverPorts =makePORTS(numClients, 11000, 1)
serverSenderPorts = ma... | HemankBajaj/PSP-File-Sharing | server1.py | server1.py | py | 5,188 | python | en | code | 0 | github-code | 90 |
14641013313 | #!/usr/bin/env python
# _*_ coding:utf-8 _*_
import matplotlib.pyplot as plt
import random, math
x_values = []
y_values = []
A = [0, 1]
B = [3, 1]
C = [1, 2]
for i in range(10000):
t = random.random()
s = random.random()
a = 1 - math.sqrt(t)
b = (1 - s) * math.sqrt(t)
c = s * math.sqrt(t)
xx =... | ares5221/Data-Structures-and-Algorithms | 09概率组合数学/02RandomPos/02triangleRandomPro.py | 02triangleRandomPro.py | py | 698 | python | en | code | 1 | github-code | 90 |
32962724362 | # task N5
n = 0
s = 0
count = 0
min_value = 0
max_value = 0
o = 1
k = 1
while True:
a = int(input("Enter your number: "))
if a % 2 == 0:
o += 1
if a < min_value:
min_value = a
if a > max_value:
max_value = a
if a == 0:
break
else:
count += 1
s += ... | ksenia760/Homework | homework5.1.py | homework5.1.py | py | 1,116 | python | en | code | 0 | github-code | 90 |
18275082415 | from django.db import migrations
from django.db import models
class Migration(migrations.Migration):
dependencies = [
("mp", "0008_auto_20151018_2208"),
]
operations = [
migrations.AlterField(
model_name="payment",
name="notification",
field=models.One... | WhyNotHugo/django-mercadopago | django_mercadopago/migrations/0009_payment_notification_null.py | 0009_payment_notification_null.py | py | 662 | python | en | code | 32 | github-code | 90 |
70591346538 | import ast
import discord
import config
import traceback
import datetime
import market
from discord.ext import commands
from discord_slash import cog_ext, SlashContext
from discord_slash.utils.manage_commands import create_option, create_choice
class Core(commands.Cog):
def __init__(self, bot):
self.bot ... | KAJdev/Melonpan | Cogs/Core.py | Core.py | py | 2,113 | python | en | code | 5 | github-code | 90 |
18412003419 | H,W=map(int,input().split())
queue=[]
mat=[[True]*(W+2)]
for i in range(1,H+1):
array=[True]+[x=="#" for x in input()]+[True]
mat.append(array)
for j in range(1,W+1):
if array[j]:
queue.append((i,j))
mat.append([True]*(W+2))
#print(mat)
#print(queue)
d=0
while queue:
new_queue=set()
for q in queue... | Aasthaengg/IBMdataset | Python_codes/p03053/s923694222.py | s923694222.py | py | 701 | python | en | code | 0 | github-code | 90 |
21362739583 | import matplotlib.pyplot as plt
import numpy as np
# 定义figure
from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure()
# 创建3d图形的两种方式
# 1、将figure变为3d
ax = Axes3D(fig)
# 2、ax = fig.add_subplot(221, projection='3d')
# 定义x, y
x = np.arange(-4, 4, 0.26)
y = np.arange(-4, 4, 0.26)
# 生成网格数据，相当于笛卡尔积
X, Y = np.meshgrid(x, ... | SummerQiuye/devops-api | test/paint.py | paint.py | py | 1,176 | python | zh | code | 3 | github-code | 90 |
36535533941 | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 24 17:57:57 2019
@author: lucas
"""
# Loading libraries
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split # train/test split
import statsmodels.formula.api as smf # logistic regression
from sklearn.metric... | lucascmbarros/game_of_thrones_dataset | logistic_regression.py | logistic_regression.py | py | 4,251 | python | en | code | 0 | github-code | 90 |
33690654657 | #coding=utf8
import sys, os, time, json, gc
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from argparse import Namespace
from utils.args import init_args
from utils.hyperparams import hyperparam_path
from utils.initialization import *
from utils.example import Example
from utils.batch imp... | AlibabaResearch/DAMO-ConvAI | sunsql/scripts/text2sql.py | text2sql.py | py | 10,505 | python | en | code | 781 | github-code | 90 |
74700940135 | #!/usr/bin/env python
from random import randrange, uniform
import re, sys, os, time, yaml, copy
import numpy as np
from argparse import ArgumentParser
import shutil, subprocess
from find_train_points import *
np.set_printoptions(linewidth=100)
#=========================================
def getRunIDFromDirName(dir)... | fnrizzi/RomLTIData | rom_accuracy/parse_rom_errors.py | parse_rom_errors.py | py | 7,780 | python | en | code | 0 | github-code | 90 |
69998342377 | import logging
from django.core.management.base import BaseCommand
from django.conf import settings
import tmdbsimple as tmdb
from ._star import upload_star_by_tmdb_id
logger = logging.getLogger(__name__)
class Command(BaseCommand):
help = 'Import popular people from tmdb'
def add_arguments(self, parser):
... | kotzila/website | website/synchronizer/management/commands/people_import.py | people_import.py | py | 1,038 | python | en | code | 0 | github-code | 90 |
25810256614 | from django.shortcuts import render
from .forms import CsvModelForm
from .models import Csv, data_table
from numpy import interp
from colour import Color
from django.conf import settings
from django.templatetags.static import static
import csv
import branca.colormap as cm
import pandas as pd
import folium
import numpy... | Andy2662/plat | plataforma/views.py | views.py | py | 4,562 | python | en | code | 0 | github-code | 90 |
11985956418 | from django.urls import path
from . import views
urlpatterns = [
path(r'', views.index, name='index'),
path(r'person/<person_id>', views.show_one_person, name='person_detail'),
path(r'edit/<person_id>', views.edit_person, name='person_edit'),
path(r'delete/<person_id>', views.delete_person, name='person_d... | AlexandrSech/Z63-TMS | students/shloma/021_homework_21/hw21/task21/urls.py | urls.py | py | 331 | python | en | code | 0 | github-code | 90 |
13859565702 | '''
tl;dr Part 1 - Compare adjacent chars, delete them from a duplicated string if they are equal and keep calling the function till not a single pair matches.
tl;dr Part 2 - Reuse Part 1 code. Except you need to go from a-z, substitute the character throughout the string and THEN call the Part 1 function
'''
import re... | arvinddoraiswamy/blahblah | adventofcode/2018/5.py | 5.py | py | 1,306 | python | en | code | 6 | github-code | 90 |
3873971050 | import database
# this function updates the highscore of the current player
def update(name, score):
# check if we should update our score
scores = database.execute_query("SELECT * from scores WHERE name='{}'".format(name))
updateScore = True
if not len(scores):
database.execute_query("INSERT ... | RektInator/infprj2 | infprj2/score.py | score.py | py | 1,308 | python | en | code | 4 | github-code | 90 |
11945111605 | # 전보
import heapq
import sys
input = sys.stdin.readline
INF = int(1e9)
# 도시, 통로, 시작점 입력
node, edge, start = map(int, input().split())
graph = [[] for i in range(node + 1)]
distance = [INF] * (node + 1) # 0은 제외
for _ in range(edge):
a, b, c = map(int, input().split())
graph[a].append((b, c))
print(graph)
... | EcoFriendlyAppleSu/algo | algorithm/shortestLength/Telegram.py | Telegram.py | py | 1,180 | python | en | code | 0 | github-code | 90 |
684085655 | import os
# this has to be before callbacks, otherwise ansible circural import problem
from ansible import utils
# intentional line, otherwise H306
from ansible import callbacks
import ansible.constants as C
from ansible.playbook import PlayBook
from fabric import api as fabric_api
from solar.core.handlers import b... | Mirantis/solar | solar/core/handlers/ansible_playbook.py | ansible_playbook.py | py | 2,487 | python | en | code | 8 | github-code | 90 |
35654889812 | import matplotlib.pyplot as plt #차트 만드는 라이브러리
# 리스트 범위(x축)
x = list(range(0, 256))
# print(x)
# 리스트 범위(y축)
y = [i*i for i in x]
# for i in x :
# y.append(i*i)
print(y)
# 차트 설정
plt.plot(x, y, 'r--') # r, b 등으로 색깔 지정 가능, 선의 종류도 선택 가능 b--, bo(선 굵게) 등
# 차트 실행
plt.show() | cuzai/pythonStudy | data/chartTest.py | chartTest.py | py | 394 | python | ko | code | 0 | github-code | 90 |
14111446615 | import hashlib
import random, sys
# set recursion limit to 10000 or it will reach the init limit 1000 when running extend_gcd()
sys.setrecursionlimit(10000)
#### key generation & signature generation & signature vaerify ####
def key_generation(q_bits=160,p_bits=1024, is_prime = False):
if not is_prime:
S ... | xjchenGit/NTUST-InfoSecurity | hw5/DSA.py | DSA.py | py | 4,718 | python | en | code | 0 | github-code | 90 |
41379142717 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals, absolute_import
from django.contrib import admin
from django.utils.translation import ugettext_lazy as _
from .models import PreflightCheck
def preflight_check_set_pending(modeladmin, request, queryset):
for preflight_check in queryset:
pr... | digris/openbroadcast.org | website/apps/media_preflight/admin.py | admin.py | py | 1,733 | python | en | code | 9 | github-code | 90 |
32163818575 | import numpy
import pandas as pd
from sklearn import datasets
from sklearn import model_selection
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
from sklearn.neighbo... | Imaydayoo/suntest_1 | classfy_three/stacking.py | stacking.py | py | 6,413 | python | en | code | 0 | github-code | 90 |
21612732198 | import logging
import os.path
from uuid import uuid4
from flask import Flask, request, make_response, jsonify
from backend.client import survey_complete, search_courses, users_info, find_user_info
app = Flask(__name__)
logging.basicConfig(filename='backend.log', level=logging.DEBUG)
@app.route('/ping', methods=['P... | sgpy/questalliance | backend/server.py | server.py | py | 2,174 | python | en | code | 1 | github-code | 90 |
5217940624 | import torch
from torch import nn
import numpy as np
from matplotlib import pyplot as plt
from torch.optim import Adam
import torch.nn.functional as F
from simple_deep_learning.mnist_extended.semantic_segmentation import create_semantic_segmentation_dataset
from simple_deep_learning.mnist_extended.semantic_segmentati... | MarcBrede/UNET | main.py | main.py | py | 4,001 | python | en | code | 0 | github-code | 90 |
3696304464 | #!/usr/bin/python
# **************************************************************************** #
# #
# ::: :::::::: #
# main.py :+:... | Tomotomo-chan/npuzzle | npuzzle.py | npuzzle.py | py | 3,477 | python | en | code | 0 | github-code | 90 |
26034615988 | from setuptools import setup, find_packages
version = '0.2'
setup(name='collective.blueprint.wikipedia',
version=version,
description="",
long_description=open("README.rst").read(),
classifiers=[
"Framework :: Plone",
"Programming Language :: Python",
"Topic :: Software... | garbas/collective.blueprint.wikipedia | setup.py | setup.py | py | 967 | python | en | code | 4 | github-code | 90 |
42347951514 | import os
import re
import pytest
os.environ['DB_URL'] = 'test_db_url'
os.environ['TABLE_NAME'] = 'test_schema.test_table'
@pytest.fixture
def handler(mocker, lambda_context):
mocker.patch('psycopg2.extras.LoggingConnection')
import main
return lambda event: main.main(event, lambda_context)
def test_d... | epiphone/lambda-terraform-analytics | functions/analytics_worker/test/test_main.py | test_main.py | py | 1,425 | python | en | code | 0 | github-code | 90 |
18230630169 | import collections
n = int(input())
a = [int(i) for i in input().split()]
a.sort()
c = collections.Counter(a)
l = [0]*n
for i,x in c.items():
l[i-1] = x
for i in l:
print(i) | Aasthaengg/IBMdataset | Python_codes/p02707/s251069269.py | s251069269.py | py | 186 | python | en | code | 0 | github-code | 90 |
29060249980 | __author__ = 'chamathsilva'
from collections import Counter
for _ in range(int(input())):
M = int(input())
N = int(input())
string = list(map(int, input().split()))
flavors = Counter(sorted(string))
for i in flavors:
nextt = M - i
if nextt in flavors.keys():
if nextt !=... | chamathsilva/Coding-Contest | hackerrank/search/Ice Cream Parlor.py | Ice Cream Parlor.py | py | 704 | python | en | code | 0 | github-code | 90 |
17095517333 | import sys
import pandas as pd
my_artist=sys.argv[1]
df = pd.read_csv('TopSongs.csv', index_col=0);
print (df.head() )
result = df[df['artist'].str.contains(my_artist)]
for i,row in result.iterrows():
print(row['artist'], row['song'])
| tonybutzer/audio | 1_music_grader/top_song.py | top_song.py | py | 243 | python | en | code | 0 | github-code | 90 |
27089741588 | from spack import *
class Clingo(CMakePackage):
"""Clingo: A grounder and solver for logic programs
Clingo is part of the Potassco project for Answer Set
Programming (ASP). ASP offers a simple and powerful modeling
language to describe combinatorial problems as logic
programs. The cli... | matzke1/spack | var/spack/repos/builtin/packages/clingo/package.py | package.py | py | 1,104 | python | en | code | 2 | github-code | 90 |
44772031651 | import torch
import numpy as np
import torch.nn as nn
from math import ceil
from ptsemseg import caffe_pb2
from ptsemseg.models.utils import *
class pspnet(nn.Module):
def __init__(self, n_classes=21, block_config=[3, 4, 23, 3]):
super(pspnet, self).__init__()
self.block_config = block... | qianbot/pytorch-semseg | ptsemseg/models/pspnet.py | pspnet.py | py | 13,776 | python | en | code | null | github-code | 90 |
39644713949 | import xarray
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
'''
Work in reading and plotting netCDF files.
Managed to plot 2D and 3D data from bgrid and cam sample files.
'''
#inno = xarray.open_dataset('Innovation.nc')
#init = xarray.open_dat... | jhendric/SiParCS-2018 | nCDF_initial_plots/xarray_test.py | xarray_test.py | py | 2,673 | python | en | code | 1 | github-code | 90 |
27576168832 | # https://github.com/Pegase745/sqlalchemy-datatables/blob/master/tests/conftest.py
from __future__ import print_function
import itertools
import pytest
from faker import Faker
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sample.domain import Base
from sample.repo.book import add_... | twotwo/python-libs | sqlite-sqlalchemy/tests/conftest.py | conftest.py | py | 1,957 | python | en | code | 0 | github-code | 90 |
43167347118 | import argparse
import logging
import textwrap
from . helpers import PaginatedQuery, Raw, Result, Results
class User(PaginatedQuery):
log = logging.getLogger("yoshiki.User")
connection = ''
def __init__(self, args: argparse.Namespace) -> None:
super().__init__()
self.username: str = args... | morucci/yoshiki | yoshiki/user.py | user.py | py | 2,376 | python | en | code | 2 | github-code | 90 |
29625010177 | # -*- coding: utf-8 -*-
from lxml import etree
from lxml import html
from store.mongo import MongodbAPI
from .parser.html_req import HtmlRequests
import requests
import re
import math
from datetime import datetime, timedelta
import logging
CYBERSYNDROME = "http://www.cybersyndrome.net/search.cgi?q=&a=ABC&f=d&s=new&n=... | zhChenOuO/TW_StockParser | services/crawl_proxy.py | crawl_proxy.py | py | 3,324 | python | en | code | 0 | github-code | 90 |
13582323536 | from decimal import *
import random
import time
import os
from multiprocessing.connection import Listener
from oortlibrary import *
import pickle
import sys
import zipfile
toprint = False
#host = input("Enter the hostname> ")
host = "192.168.25.14"
port = 667
#nblocks = int(input("Enter the quantity of blocks> "))
nblo... | victor-cortez/Heimdall | oort/oort_server2.py | oort_server2.py | py | 3,888 | python | en | code | 1 | github-code | 90 |
38968076733 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import unicodecsv as csv
from bs4 import BeautifulSoup, NavigableString
from mechanize import Browser
from urllib2 import HTTPError
import MySQLdb
db = MySQLdb.connect(host="localhost", # your host, usually localhost
user="pma", # your username
... | WeissDev/amca_cartoon | scraping/southpark_scraper.py | southpark_scraper.py | py | 4,651 | python | en | code | 0 | github-code | 90 |
14569682653 | # -*- coding:utf-8 -*-
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def FindKthToTail(self, head, k):
# write code here
ans = cur = head
for i in range(0, k):
if not cur:
return None
... | shaoye/algorithm | jianzhioffer/链表中倒数第k个结点.py | 链表中倒数第k个结点.py | py | 428 | python | en | code | 0 | github-code | 90 |
18011142309 | n = int(input())
#約数取得
def make_divisors(n):
divisors_keta = []
i = 1
while i*i <= n:
if n % i == 0:
divisors_keta.append(max(len(str(i)), len(str(n//i))))
#print(i, n/i, len(str(i)), len(str(n//i)))
i += 1
return divisors_keta
keta_min_sort = sorted(make_diviso... | Aasthaengg/IBMdataset | Python_codes/p03775/s371702277.py | s371702277.py | py | 381 | python | en | code | 0 | github-code | 90 |
4109351427 | import random
from scipy.spatial.distance import cdist
import numpy as np
def dist(X, Y):
return np.linalg.norm(X - Y, keepdims=False)
def find_cluster(X, center):
D =cdist(X,center)
return np.argmin(D,axis=1)
a = np.random.rand(6,2)
b = np.random.rand(3,2)
print(a)
print(b)
print(cdist(a,b))
print(fin... | Phuca1/Fuzzy-C-Means | test.py | test.py | py | 336 | python | en | code | 0 | github-code | 90 |
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