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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|---|---|---|---|---|---|---|---|---|---|---|---|---|
32869975011 | from fastapi import APIRouter
from api.schemes import relations, responses
from database import redis
def add_relation(rel: relations.Relation, rel_name: str) -> responses.RelationOperations:
if redis.add_relation(rel_name, rel.user_id, rel.item_id):
return responses.RelationOperations(status="successful... | Muti-Kara/sylvest_recommender | api/routers/relations.py | relations.py | py | 1,755 | python | en | code | 2 | github-code | 6 |
38043006452 | import cloudinary.uploader
import requests
# define your S3 bucket name here.
S3_BUCKET_NAME = "akshayranganath"
def get_file_name(url, transformation):
# transformation will be of the format "t_text_removed/jpg".
# remove the "/jpg" part and the "t_" part
transformation = transformation.rsplit('/',1)... | akshay-ranganath/create-and-upload | demo_upload_and_download.py | demo_upload_and_download.py | py | 2,558 | python | en | code | 0 | github-code | 6 |
33488962773 | '''
Given an array A, we can perform a pancake flip: We choose some positive integer k <= A.length, then reverse the order of the first k elements of A. We want to perform zero or more pancake flips (doing them one after another in succession) to sort the array A.
Return the k-values corresponding to a sequence of p... | sxu11/Algorithm_Design | Contests/C118_PancakeSorting.py | C118_PancakeSorting.py | py | 1,915 | python | en | code | 0 | github-code | 6 |
30517336024 | from .errors import *
class Asset:
"""Generic class representing a file asset URL."""
def __init__(self, client, url, filename):
self.client = client
self._url = url
self.filename = filename
self._response = None
def __str__(self):
return f"{self.__class__.__name_... | nwunderly/aionasa | aionasa/asset.py | asset.py | py | 2,644 | python | en | code | 7 | github-code | 6 |
36021767355 | import numpy as np
import sys
#file_name = "space_pulse_illumination_0.000000V.dat";
file_name = sys.argv[-1]
fname = open(file_name);
column_number = 5;
tmp_title = [];
tmp_value = [];
tmp_data = 0;
tmp_time = 0;
tmp_data_number = 0;
J = [];
time = [];
value = [];
value_space_pos = [];
i = 0;
position_number = 1;
f... | dglowienka/drift-diffusion_mini-modules | Dynamic/time_J.py | time_J.py | py | 1,400 | python | en | code | 0 | github-code | 6 |
21211345581 | import sys
import heapq
input = sys.stdin.readline
INF = float('inf')
V, E = map(int, input().split())
graph = [[] for _ in range(V + 1)]
for _ in range(E):
a, b, w = map(int, input().split())
graph[a].append((w, b))
graph[b].append((w, a))
v1, v2 = map(int, input().split())
def dijakstra(start):
min_... | kimkimj/Algorithm | python/Dijkstra/specificRoute.py | specificRoute.py | py | 984 | python | en | code | 0 | github-code | 6 |
25097354504 | # -*- coding: utf-8 -*-
"""
Created on Thu Jul 21 13:56:29 2022
@author: maria
"""
import numpy as np
import pandas as pd
from numpy import zeros, newaxis
import matplotlib.pyplot as plt
import scipy as sp
from scipy.signal import butter,filtfilt,medfilt
import csv
import re
import functions2022_07_15 as fun
#gettin... | mariacozan/Analysis_and_Processing | code_archive/2022-07-21-neuronal_classification.py | 2022-07-21-neuronal_classification.py | py | 5,001 | python | en | code | 0 | github-code | 6 |
35574568262 | # This module contains the set of functions that work with the IPCA inflation index.
# IPCA is the most used inflation index in Brazil. It is calculated and published by IBGE. It is published between the 8th and 11th of the following month.
# IPCA is published both as a monthly percentage rate and a index number. We up... | ReiNog/CurryInv | ipca.py | ipca.py | py | 6,923 | python | en | code | 0 | github-code | 6 |
74182080829 | #!/usr/bin/env python
from __future__ import print_function
import boto3
from botocore.exceptions import ClientError
import json
import argparse
import time
import random
import uuid
ALL_POLICY = '''{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "Stmt''' + str(random.randint(100000, 999999)) +'''",
... | dagrz/aws_pwn | elevation/add_iam_policy.py | add_iam_policy.py | py | 2,724 | python | en | code | 1,106 | github-code | 6 |
14698252975 | from flask import Flask, request, jsonify
from SSAPI import app, api, db, guard
from flask_restplus import Resource, reqparse, inputs
import flask_praetorian
from SSAPI.models import *
@api.route('/Scrimmages')
class ScrimmageList(Resource):
@flask_praetorian.auth_required
def get(self):
""" Returns a... | ktelep/SSAPI | SSAPI/scrimmage_views.py | scrimmage_views.py | py | 7,157 | python | en | code | 0 | github-code | 6 |
71588771707 | import pytest
from pytest import approx
from brownie import chain
from brownie.test import given, strategy
from decimal import Decimal
from .utils import RiskParameter, transform_snapshot
@pytest.fixture(autouse=True)
def isolation(fn_isolation):
pass
@given(
initial_fraction=strategy('decimal', min_value=... | overlay-market/v1-periphery | tests/state/test_volume.py | test_volume.py | py | 5,680 | python | en | code | 3 | github-code | 6 |
27673024131 | import torch
from torch import nn
def init_weights_(m: nn.Module,
val: float = 3e-3):
if isinstance(m, nn.Linear):
m.weight.data.uniform_(-val, val)
m.bias.data.uniform_(-val, val)
class Actor(nn.Module):
def __init__(self,
state_dim: int,
... | zzmtsvv/rl_task | spot/modules.py | modules.py | py | 2,231 | python | en | code | 8 | github-code | 6 |
40124065659 | from pymongo.mongo_client import MongoClient
from pymongo.server_api import ServerApi
import certifi
from pprint import pprint
class database:
def __init__(self):
uri = "mongodb+srv://user:user@harvest-hero.zdaj74u.mongodb.net/?retryWrites=true&w=majority"
# Create a new client and connec... | SteveHuy/Harvest-Hero | Database+APIs/database.py | database.py | py | 721 | python | en | code | 0 | github-code | 6 |
43984207586 | # gdpyt-analysis: test.test_fit_3dsphere
"""
Notes
"""
# imports
from os.path import join
import math
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from correction import correct
from utils import fit, plotting, functions
# read dataframe
fp = '/Users... | sean-mackenzie/gdpyt-analysis | test/test_fit_3dsphere.py | test_fit_3dsphere.py | py | 6,764 | python | en | code | 0 | github-code | 6 |
29788980815 | from collections import Counter
import numpy as np
import pandas as pd
import pickle
from sklearn import svm, model_selection, neighbors
from sklearn.ensemble import VotingClassifier, RandomForestClassifier
from sklearn.model_selection import cross_validate, train_test_split
# processing data for Machine Learning
# ... | mihir13/python_for_finance | PythonForFinance9.py | PythonForFinance9.py | py | 3,409 | python | en | code | 0 | github-code | 6 |
9651796880 | import utils
from utils import *
# Arguments available
def parse_args():
parser = argparse.ArgumentParser(description='Task1')
parser.add_argument('--image_path', type=str, default=None,
help='Path to an image on which to apply Task1 (absolute or relative path)')
parser.add_argument('--save_pat... | SebastianCojocariu/Curling-OpenCV | task_1.py | task_1.py | py | 3,759 | python | en | code | 1 | github-code | 6 |
23088053555 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Code by: Magnus Øye, Dated: 12.11-2018
Contact: magnus.oye@gmail.com
Website: https://github.com/magnusoy/Balancing-Platform
"""
# Importing packages
import numpy as np
from numpy import sqrt, sin, cos, pi, arccos
import matplotlib.pylab as plt
# Plot style
plt.style... | magnusoy/Balancing-Platform | src/balancing_platform/util/graphs.py | graphs.py | py | 2,702 | python | en | code | 7 | github-code | 6 |
15306305960 | """ WENO Lax-Friedrichs
Author: Pierre-Yves Taunay
Date: November 2018
"""
import numpy as np
import matplotlib.pyplot as plt
###############
#### SETUP ####
###############
# Grid
npt = 200
L = 2
dz = L/npt
zvec = np.linspace(-L/2 + dz/2,L/2-dz/2,npt)
EPS = 1e-16
# Time
dt = dz / 1 * 0.4
tmax = 2000
tc = 0
# Sche... | pytaunay/weno-tests | python/advection_1d/weno-advection.py | weno-advection.py | py | 5,051 | python | en | code | 1 | github-code | 6 |
71579186747 | """ Optimizes GPST model hyperparameters via Optuna. """
import os
import time
import json
import shutil
import logging
import argparse
import tempfile
import datetime
import optuna
from train import train
from lumber import get_log
from arguments import get_args
def main() -> None:
""" Run an Optuna study. ""... | langfield/spred | spred/gpst/optimize.py | optimize.py | py | 4,018 | python | en | code | 3 | github-code | 6 |
37164877474 | import torch
import numpy
import pandas
import sys
import os
import copy
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
#Global option defaults that can be changed later by command line
gcm_folder_path : str = "gcms"
target_folder_path : str = "targets"
class_index = "... | tigerwxu/gcm-cnn | gcm-cnn.py | gcm-cnn.py | py | 10,296 | python | en | code | 0 | github-code | 6 |
3145047297 | #!/usr/bin/env python
#!/users/legarreta/opt/miniconda3/envs/sims/bin/python
#!/usr/bin/python3
# Get RMSDs from multiple files
# INPUTS: input dir and pattern string
USAGE="rmsds-trajectory-ALL.py <input dir>"
import os, sys
def main ():
# Check command line arguments
args = sys.argv
if (len(args) < 2):
p... | luisgarreta/dockingBCL2 | scripts/rmsds-trajectory-ALL.py | rmsds-trajectory-ALL.py | py | 3,642 | python | en | code | 0 | github-code | 6 |
1306545281 | import os, datetime
def call_msra():
terr = input('код территории: ')
if terr == "":
print()
call_msra()
comp = input('номер АРМа: ')
if comp == "":
print()
call_msra()
else:
os.system(r'C:\Windows\System32\msra.exe /offerra kmr-' + terr + '-' +... | Aarghe/some_scripts | msra/msra.py | msra.py | py | 2,782 | python | ru | code | 0 | github-code | 6 |
20921293526 | import numpy as np
import matplotlib.pyplot as plt
def plot_results(results, range_param, label='', color='r', marker='o'):
mean_results = np.mean(results, axis=1)
min_results = np.mean(results, axis=1) - np.std(results, axis=1)
max_results = np.mean(results, axis=1) + np.std(results, axis=1)
plt.plot... | sharpenb/Multi-Scale-Modularity-Graph-Clustering | Scripts/experiments/results_manager.py | results_manager.py | py | 1,613 | python | en | code | 2 | github-code | 6 |
70929697148 | from tasks import Task
from workWithFiles import *
class WorkWithUser:
def __init__(self):
self.task: Task = Task.NONE
self.idNote: int = None
self.title: str = None
self.item: str = None
self.datetime_min: datetime = None
self.datetime_ma... | galkinnikolay/HomeworkPython | workWithUser.py | workWithUser.py | py | 8,880 | python | ru | code | 0 | github-code | 6 |
13305672302 | import cv2
#image read
"""
img = cv2.imread("Resources/lena.png")
cv2.imshow("Output",img)
cv2.waitKey(0)
"""
#video read
"""
cap = cv2.VideoCapture("Resources/test_video.mp4")
while True:
success, img = cap.read()
cv2.imshow("Video",img)
if cv2.waitKey(1) & 0xFF ==ord('q'):
break
... | Umang-Seth/General_OpenCV_Fn | Load_Webcam.py | Load_Webcam.py | py | 543 | python | en | code | 0 | github-code | 6 |
8499616042 | import os
import sys
user_path = os.environ.get("USER_PATH")
sys.path.append(user_path)
from data_structures.min_heap import MinHeap
def k_largest_elements(arr, k):
temp = []
heap = MinHeap(temp)
for elmnt in arr:
if len(heap) < k:
heap.insert(elmnt)
else:
if elmn... | mathivanansoft/algorithms_and_data_structures | data_structures/k_largest_elements.py | k_largest_elements.py | py | 654 | python | en | code | 0 | github-code | 6 |
5405379024 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import random # imports relevant libraries
import operator
import matplotlib.pyplot
import agentframework
import csv
import matplotlib.animation
num_of_agents = 10
num_of_iterations = 100
neighbourhood = 20
f = open('datain.txt') # open... | cman2000/Portfolioabm | model.py | model.py | py | 1,832 | python | en | code | 0 | github-code | 6 |
4537498830 | from DEFINITIONS import *
from Structures import ERTree
from AF import make_create_condition, AFD, AFND, State
class ER:
def __init__(self, erid, regex):
self.id = erid
self.regex = regex
def parse_generic(self, ps):
try:
i = ps.index("-")
replace_string = ""... | bruno-borges-2001/Analisador | ER/ER.py | ER.py | py | 6,254 | python | en | code | 0 | github-code | 6 |
71010185787 | #!/usr/bin/python
import sys, copy
from scanner import scanner
from parser import parser
from lex_rules import build_patterns
from bookmarks import create_bookmark
from symbol_table import build_productions, build_subproductions, Symbol, Production
from scope import build_scopes, Scope, ScopeSymbol, handleScope
from... | lukedupin/C2 | main.py | main.py | py | 4,412 | python | en | code | 0 | github-code | 6 |
42132347145 | import math
import numpy as np
from scipy.stats import bernoulli
simlen = 1000000
pmf = np.full(10,0.1)
def cdf(k):
if(k>10):
return 1
elif(k<=0):
return 0
else:
return k*0.1
print("Value equal to 7:")
p1 = pmf[7]
data_bern1 = bernoulli.rvs(size=simlen,p=p1)
err_ind1 = np.nonzero... | gadepall/digital-communication | exemplar/10/13/3/30/codes/code.py | code.py | py | 984 | python | en | code | 7 | github-code | 6 |
16325138014 | from abc import abstractmethod
import threading
from types import MethodType
from typing import Any, Dict, Generic, NoReturn
from jsonIO.Serializable import SerializableType
from protocol.interface import (
AbstractRequestClient,
AbstractRequestServer,
AbstractSerializableHandler,
AbstractSerializableR... | MysteriousChallenger/nat-holepunch | server/PackageSocketRequestServer.py | PackageSocketRequestServer.py | py | 2,929 | python | en | code | 0 | github-code | 6 |
2502699508 | # To manage matrices correctly
# At deployment, check if new matrices have been added to old batch sizes
import grid
import orjson
import sys
# VERSION_FILE
VERSION_FILE = "versioning.json"
def readable_string(batch, num_infected, infection_rate):
m,n = grid.parse_batch(batch)
return f'{n} Samples (with {m} ... | Aakriti28/tapestry-server | old-server/matrix_manager.py | matrix_manager.py | py | 4,223 | python | en | code | 0 | github-code | 6 |
6756372344 |
#======================
# Author: Susmita Datta
# Title: insertionSort
#
# Time Complexity of Solution:
# O(n^2)
#
# Sample input = [3, 2, 1, 4, 5, 6, 9, 8, 7]
# Sample output = [1, 2, 3, 4, 5, 6, 7, 8, 9]
#
#--------------------------------------------
def insertionSort(unsorted):
for index in range(1, len(un... | ssmtdatta/Sorting | insertionSort.py | insertionSort.py | py | 763 | python | en | code | 0 | github-code | 6 |
2026773879 | import json
import os
import pathlib
import time
from selenium import webdriver
from selenium.webdriver import ActionChains
driver = webdriver.Chrome()
targetUrl = 'https://www.douban.com/'
username = ""
psw = ""
def login_zhi_hu():
loginurl = targetUrl # 登录页面
# 加载webdriver驱动，用于获取登录页面标签属性
# driver = we... | Nienter/mypy | personal/douban.py | douban.py | py | 3,789 | python | en | code | 0 | github-code | 6 |
75163149306 | # -*- coding: utf-8 -*-
"""
Flask Skeleton
"""
from flask import Blueprint, request, redirect, url_for, render_template, flash, session
from pymongo import errors as mongo_errors
from bson.objectid import ObjectId
from flask_login import login_required
import datetime
from app import mongo, login_manager
from app.usu... | e-ruiz/big-data | 01-NoSQL/atividade-04/src/app/blog/posts.py | posts.py | py | 2,268 | python | en | code | 1 | github-code | 6 |
1925325981 | from odoo import models, fields, api
class LP_Crm(models.Model):
_inherit = 'crm.lead'
lp_company_id = fields.Many2one('res.partner', 'company' , compute = '_compute_company')
lp_individual_id = fields.Many2many('res.partner')
lp_OneDrive_url = fields.Char('OneDrive folder URL')
lp_client_size = fields.Char... | MoathAlrefai2/lp-erp-dev001 | lp_crm/model/lp_crm.py | lp_crm.py | py | 8,538 | python | en | code | 0 | github-code | 6 |
19400090459 | from typing import List
class Solution:
def minFallingPathSum(self, A: List[List[int]]) -> int:
h = len(A)
w = len(A[0])
for i in range(1,h):
for j in range(w):
if j == 0:
A[i][j] = min(A[i-1][j] + A[i][j],A[i-1][j+1] + A[i][j])
... | Yigang0622/LeetCode | minFallingPathSum.py | minFallingPathSum.py | py | 653 | python | en | code | 1 | github-code | 6 |
38740337725 | import pytest
import numpy as np
from uncoverml import patch
@pytest.mark.parametrize('make_multi_patch',
['make_patch_31', 'make_patch_11'],
indirect=True)
def test_grid_patch(make_multi_patch):
timg, pwidth, tpatch, tx, ty = make_multi_patch
patches = pa... | GeoscienceAustralia/uncover-ml | tests/test_patch.py | test_patch.py | py | 593 | python | en | code | 32 | github-code | 6 |
36066284113 | #%%
from PIL import Image
import numpy as np
import onnxruntime
import torch
import cv2
def preprocess_image(image_path, height, width, channels=3):
image = Image.open(image_path)
image = image.resize((width, height), Image.LANCZOS)
image_data = np.asarray(image).astype(np.float32)
image_data = image_d... | cassiebreviu/onnxruntime-raspberrypi | inference_mobilenet.py | inference_mobilenet.py | py | 2,000 | python | en | code | 4 | github-code | 6 |
7159944925 | # 由于反/防爬虫策略，以及防止封ip的风险
# 我们选择动态切换user-agent
import urllib.request
import ssl
import random
# 创建未证实的ssl上下文
context = ssl._create_unverified_context()
def load_baidu():
url = "https://www.baidu.com"
header = {
''
}
# 创建代理列表
user_agent_list = [
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-us) AppleWebKi... | hengxuZ/python-crawler-lesson | lesson-01/随机设置代理爬取页面.py | 随机设置代理爬取页面.py | py | 1,194 | python | en | code | 1 | github-code | 6 |
8063903284 | import logging
import subprocess
from subprocess import Popen, PIPE
def run(command: str) -> None:
"""
:param command: shell statement
:return:
"""
logging.debug(command)
subprocess.call(command, shell=True, universal_newlines=True)
def call(command: str) -> str:
"""
:param command:... | leaderli/li_py | li/li_bash.py | li_bash.py | py | 1,123 | python | en | code | 0 | github-code | 6 |
4828707472 | from fastapi.security import OAuth2PasswordBearer
from sqlalchemy.orm import Session
from models import Quote, Title, Year
from schemas import QuoteBase, QuoteCreate, TitleBase, TitleCreate, YearBase, YearCreate
import random
import auth
import models
import schemas
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token... | rubenpinxten/herexamen_API | myProject/crud.py | crud.py | py | 3,543 | python | en | code | 0 | github-code | 6 |
2216069250 | class Macro:
def render(self, inv):
ctx = akat.prepare(inv, required_args = ["cond"], keywords = ["likely", "unlikely"], required_enclosing_macros = ["COROUTINE"])
if ctx.likely and ctx.unlikely:
akat.fatal_error("It can't be both likely and unlikely!")
label, state = ctx.COROU... | akshaal/akatlib4 | akatpp/akat_wait_until.py | akat_wait_until.py | py | 561 | python | en | code | 0 | github-code | 6 |
30117142033 | import numpy as np
from PIL import Image
class predict_day_night_algos:
def __init__(self,img_path,algorithm_choice):
self.img_path = img_path
self.algorithm_choice = algorithm_choice
def select_algorithm(self):
"""
the function selects which algorithm,
based on the ... | shivargha98/shivargha_bandopadhyay | predict_day_night.py | predict_day_night.py | py | 2,888 | python | en | code | 0 | github-code | 6 |
30669751378 | import os
import cv2
dir = "/Users/sunxiaofei/PycharmProjects/remote-server-projects/unlabeled_dataset/data"
for i, eachVid in enumerate(os.listdir(dir)):
vPath = os.path.join(dir, eachVid)
vname = vPath.split("/")[-1][:-4]
print(vname)
print(vPath)
vidcap = cv2.VideoCapture(vPath)
success,image = vidcap.... | sxfduter/python_utils | video_frame_extraction.py | video_frame_extraction.py | py | 709 | python | en | code | 0 | github-code | 6 |
73510591867 | class Solution:
def numSmallerByFrequency(self, queries: List[str], words: List[str]) -> List[int]:
countWord = []
countQuery = []
ans = []
for word in words:
w = sorted(word)
countWord.append(w.count(w[0]))
countWord.sort()
for query in queri... | yonaSisay/a2sv-competitive-programming | compare-strings-by-frequency-of-the-smallest-character.py | compare-strings-by-frequency-of-the-smallest-character.py | py | 771 | python | en | code | 0 | github-code | 6 |
22002934531 | """
Interfaces for Deep Q-Network.
"""
import random
import numpy as np
import tensorflow as tf
from collections import deque
from scipy.misc import imresize
from qnet import QNet
class DeepQLearner(object):
"""
Provides wrapper around TensorFlow for Deep Q-Network.
"""
def __init__(self,
ac... | TianyiWu96/DQN | src/qlearn.py | qlearn.py | py | 11,988 | python | en | code | 0 | github-code | 6 |
18100363274 | """
1143. Longest Common Subsequence
https://leetcode.com/problems/longest-common-subsequence/
"""
from typing import Dict, List, Tuple
from unittest import TestCase, main
class Solution:
def longestCommonSubsequence(self, text1: str, text2: str) -> int:
"""
This is a classic DP problem
te... | hirotake111/leetcode_diary | leetcode/1143/solution.py | solution.py | py | 1,955 | python | en | code | 0 | github-code | 6 |
29099504157 | import xml.etree.ElementTree as ET
from datetime import date
from pathlib import Path
def _convert_dict(temp_dict):
"""
Convert one dict to a new one
:param temp_dict: A temporary dict
:type temp_dict: dict
:return: The same dict in a new formate that fits with the database
:rtype: dict
"... | ZexiDilling/structure_search | xml_handler.py | xml_handler.py | py | 7,386 | python | en | code | 0 | github-code | 6 |
17044150914 | # ESCOLHA DA PALAVRA #
import random
palavrasaleatorias = ['GIRAFA', 'GATO', 'ESMALTE', 'MIOJO', 'MORANGO', 'CHOCOLATE', 'VERDE', 'CINZA', 'PYTHON', 'ABELHA', 'PUCPR', 'ALEGRIA','ESTUDAR', 'PROGRAMA', 'PIMENTA']
# escolha de maneira randômica
escolhida = palavrasaleatorias[random.randint(0,14)]
# conta o número de le... | micheleotta/Jogo-da-forca | forca.py | forca.py | py | 2,079 | python | pt | code | 0 | github-code | 6 |
36637137136 | import tkinter as tk
from tkinter import ttk
from tkinter import *
import numpy as np
from PIL import ImageTk, Image
from os import listdir
from os.path import isfile, join
from PIL.Image import Resampling
from hopfield_clouds import HopfieldClouds
# root.columnconfigure(0, weight=1)
# root.columnconfigure(1, weigh... | behenate/hopfield-reconstruction | gui.py | gui.py | py | 5,007 | python | en | code | 0 | github-code | 6 |
15512669243 | import pygame #Impordime pygame'i
#Defineerime funktsiooni, mis joonistab ruudustiku
def draw_grid(screen, ruudu_suurus, read, veerud, joone_värv):
for i in range(read): #Esimene tsükel, mis käib läbi kõik read
for j in range(veerud): #Teine tsükel, mis käib läbi kõik veerud
rect = pygame.Rect(... | KermoV/Ulesanne_3 | Ülesanne_3.py | Ülesanne_3.py | py | 1,403 | python | et | code | 0 | github-code | 6 |
27679859460 | # Things to show
# Name, Orbital Radius, Gravity, Mass, Distance, Planet Type, Goldilock, Discovery Date, Mass of hoststar
from flask import Flask, jsonify, make_response
from pandas import read_csv
app = Flask(__name__)
data = read_csv("csv/display.csv")
@app.get("/")
def index():
to_send = []
i = 1
while Tru... | CometConnect/python | api.py | api.py | py | 1,549 | python | en | code | 0 | github-code | 6 |
15598819292 | import sys
sys.path.append('..')
import torch
from torch import nn
from torch.nn import functional as F
from ssd import config as cfg
from basenet.vgg import vgg_feat
from basenet.resnet import resnet101_feat
from ssd.utils_ssd.priorbox import PriorBox
from ssd.utils_ssd.L2Norm import L2Norm
from ssd.utils_ssd.detect... | AceCoooool/detection-pytorch | ssd/ssd300.py | ssd300.py | py | 4,567 | python | en | code | 24 | github-code | 6 |
42896164462 | import jax
import numpy as np
import pytest
import hilbert_sort.jax as jax_backend
import hilbert_sort.numba as np_backend
@pytest.fixture(scope="module", autouse=True)
def config_pytest():
jax.config.update("jax_enable_x64", True)
@pytest.mark.parametrize("dim_x", [2, 3, 4])
@pytest.mark.parametrize("N", [150... | AdrienCorenflos/parallel-Hilbert | tests/test_agree.py | test_agree.py | py | 1,622 | python | en | code | 1 | github-code | 6 |
36942742650 | class Erecord:
def __init__(self, eId, eName, eAddress, eRate, eHour):
self.id = eId
self.name = eName
self.address = eAddress
self.rate = eRate
self.hour = eHour
def __str__(self):
return "ID: " + str(self.id) + " Name: " + self.name
def calc_salary(sel... | Sir-Lance/CS1400 | EmployeeClass.py | EmployeeClass.py | py | 615 | python | en | code | 0 | github-code | 6 |
7873679939 | import numpy as np
from multiprocessing import Pool
h, w = 1080, 1920
def draw_pixel():
pixel = np.zeros(24, dtype=np.uint8)
for i in range(24):
pixel[i] = np.random.randint(0, 2)
return pixel
def draw_row(p):
row = np.zeros((24, w), dtype=np.uint8)
row[:, 0] = draw_pixel()
for j in r... | e841018/ERLE | rand_img.py | rand_img.py | py | 888 | python | en | code | 2 | github-code | 6 |
160637604 | import numpy as np
import pandas as pd
#Setting the recent season match
yrBefore = np.arange(1900,2023)
yrAfter = np.arange(1901,2024)
yrBefore_list = []
yrAfter_list = []
for s in yrBefore:
a = str(s)
yrBefore_list.append(a)
for j in yrAfter:
b = str(j)
yrAfter_list.append(b)
seaso... | Taofeek26/Taofeek26 | btttt.py | btttt.py | py | 2,577 | python | en | code | 0 | github-code | 6 |
42134577155 | import numpy as np
# Define the number of simulations
num_simulations = 100000
# Initialize a counter for successful outcomes
successful_outcomes = 0
for _ in range(num_simulations):
# Initialize the bag with 5 red and 3 blue balls
bag = np.array(['red', 'red', 'red', 'red', 'red', 'blue', 'blue', 'blue'])
... | gadepall/digital-communication | exemplar/12/13/3/75/codes/main.py | main.py | py | 822 | python | en | code | 7 | github-code | 6 |
71186923 | import boto3
import uuid
import json
from jwcrypto import jwt, jwk
DDB_CLIENT = boto3.client('dynamodb')
ddb_table = "iowt-devices"
def create_new_device():
id = str(uuid.uuid4())
key = jwk.JWK(generate="oct", size=256)
key_data = json.loads(key.export())['k']
token = jwt.JWT(header={"alg": "A256KW... | wilsonc101/iowt | www/create_device.py | create_device.py | py | 886 | python | en | code | 0 | github-code | 6 |
12064414796 | from sys import argv
def next_nb(ls, visited, iterator, element):
for i in range(len(ls[iterator])):
print(f"{visited} {ls[iterator][i]}")
if visited[ls[iterator][i] - 1] == 0:
visited[ls[iterator][i] - 1] = element
next_nb(ls, visited, ls[iterator][i] - 1, element)
i... | patyen/GiIZ | Set2/Task3/kopia.py | kopia.py | py | 1,145 | python | en | code | 1 | github-code | 6 |
33613649647 | '''
--- Day 2: Dive! ---
Now, you need to figure out how to pilot this thing.
It seems like the submarine can take a series of commands like forward 1, down 2, or up 3:
forward X increases the horizontal position by X units.
down X increases the depth by X units.
up X decreases the depth by X units.
Note that since y... | Patbmcdonald/Advent-Of-Code-2021 | aoc/day2/day2.py | day2.py | py | 3,032 | python | en | code | 0 | github-code | 6 |
39001711691 | import csv
import MySQLdb
mydb= MySQLdb.connect(host='localhost',
user='root',
db='celebal')
cursor=mydb.cursor()
with open('dataset1.csv', 'r') as csvfile:
csv_data1 = csv.reader(csvfile, delimiter=',')
next(csv_data1)
cursor.execute("TRUNCATE TABLE data1")
for row in csv_data1:
cursor.execute("INSERT ... | shauryaa/CelebalAssignment1 | try.py | try.py | py | 910 | python | en | code | 0 | github-code | 6 |
1360530890 | import Utils.Data as data
from Utils.Data.DatasetUtils import is_test_or_val_set, get_train_set_id_from_test_or_val_set, \
get_test_or_val_set_id_from_train
from Utils.Data.Features.Feature import Feature
from Utils.Data.Features.Generated.EnsemblingFeature.MatrixEnsembling import ItemCBFMatrixEnsembling
from Utils... | MaurizioFD/recsys-challenge-2020-twitter | Utils/Data/Features/Generated/EnsemblingFeature/SimilarityFoldEnsembling.py | SimilarityFoldEnsembling.py | py | 7,398 | python | en | code | 39 | github-code | 6 |
75136926587 | import pytest
import tgalice
from dialog_manager import QuizDialogManager
@pytest.fixture
def default_dialog_manager():
return QuizDialogManager.from_yaml('texts/quiz.yaml')
def make_context(text='', prev_response=None, new_session=False):
if prev_response is not None:
user_object = prev_response.u... | avidale/musiquiz | test_scenarios.py | test_scenarios.py | py | 1,432 | python | en | code | 0 | github-code | 6 |
811146806 | '''Minimum characters that are to be inserted such that no three consecutive characters are same
Given a string str and the task is to modify the string such that no three consecutive characters are same.
In a single operation, any character can be inserted at any position in the string.
Find the minimum number of suc... | Saima-Chaity/Leetcode | Interviews/NoThreeConsecutiveCharacter.py | NoThreeConsecutiveCharacter.py | py | 791 | python | en | code | 0 | github-code | 6 |
2542812722 | import os
import json
import logging
from infy_bordered_table_extractor import bordered_table_extractor
from infy_bordered_table_extractor.bordered_table_extractor import OutputFileFormat
from infy_bordered_table_extractor.providers.tesseract_data_service_provider import TesseractDataServiceProvider
from infy_bordered_... | Infosys/Document-Extraction-Libraries | infy_bordered_table_extractor/tests/test_border_table_img.py | test_border_table_img.py | py | 3,357 | python | en | code | 6 | github-code | 6 |
40319534507 | from ansible.module_utils.basic import AnsibleModule
from ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.api import \
Session
from ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.cls import GeneralModule
class General(GeneralModule):
CMDS = {
'set': 'set',
... | ansibleguy/collection_opnsense | plugins/module_utils/main/webproxy_forward.py | webproxy_forward.py | py | 2,388 | python | en | code | 158 | github-code | 6 |
72255300348 | from __future__ import annotations
import json
import re
from typing import TYPE_CHECKING
import asyncpg
import discord
import pandas as pd
from tweepy.asynchronous import AsyncClient
from ..helpers import add_prefix
if TYPE_CHECKING:
from bot import Bot
async def setup_cache(bot: Bot):
prefixes = await b... | LeoCx1000/fish | src/utils/core/startup.py | startup.py | py | 4,587 | python | en | code | 0 | github-code | 6 |
31957026711 | from __future__ import annotations
import asyncio
from typing import TYPE_CHECKING, Any, Union, Optional, TypedDict, final
from datetime import datetime
import attr
import ujson
from tomodachi.utils import helpers
from tomodachi.core.enums import ActionType
if TYPE_CHECKING:
from tomodachi.core.bot import Tomod... | httpolar/tomodachi | tomodachi/core/actions.py | actions.py | py | 4,732 | python | en | code | 4 | github-code | 6 |
35406045180 | import json
import os
from elasticsearch import Elasticsearch, helpers, exceptions
client = Elasticsearch(os.getenv("ELASTICSEARCH_URL"))
f = open("dump", "r")
def main():
while True:
line = f.readline()
if len(line) == 0:
break
data = json.loads(line)
yield {
... | polianax/regex | upload.py | upload.py | py | 506 | python | en | code | 0 | github-code | 6 |
3653572970 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from skimage.color import rgb2lab
from skimage.color import lab2rgb
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import GaussianNB
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import Function... | injoon2019/SFU_CMPT353 | Exercise/e7/colour_bayes.py | colour_bayes.py | py | 4,009 | python | en | code | 1 | github-code | 6 |
14200847696 | import discord
import asyncio
from discord.ext import commands
class Channels(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.role_bot_id = int(self.bot.config['Zone']['role_bot_id'])
self.channel_private_id = int(self.bot.config['Zone']['channel_private_id'])
self.cate... | yutarou12/bot-zone | cogs/channels.py | channels.py | py | 3,982 | python | en | code | 0 | github-code | 6 |
40347602041 | class Node:
def __init__(self, val, left=None, right=None):
self.val = val
self.left = left
self.right = right
def serialize(root):
queue = [root]
string = ""
while queue:
curr = queue.pop(0)
if curr is not None:
queue.append(curr.left)
qu... | dunningkrugerkid/programming-problems | tree_problems.py | tree_problems.py | py | 1,116 | python | en | code | 0 | github-code | 6 |
23247293601 | class Person:
def __init__(self, language):
self.language = language
def hello(self):
if self.language == "ko":
print("안녕")
elif self.language == "en":
print("hey")
def hello(language):
if language == "ko":
print("안녕")
elif language == "en":
... | yoonej111/translation-practice-program | person.py | person.py | py | 494 | python | en | code | 0 | github-code | 6 |
17435023939 | # coding: utf-8
"""
Simple multithread task manager
__author_ = 'naubull2 (naubull2@gmail.com)'
"""
import logging
import random
import json
import time
import atexit
from queue import Queue
from threading import Thread
logger = logging.getLogger("dialog-tool")
class Worker(Thread):
"""
Thread executing task... | naubull2/codingtests | frequent_subjects/task_manager.py | task_manager.py | py | 3,836 | python | en | code | 0 | github-code | 6 |
73743939389 | import os
from os import walk, getcwd
from PIL import Image
""" Class label (BDD) """
# same order with yolo format class annotation
classes = [ "bike" , "bus" , "car", "motor", "person", "rider", "traffic light", "traffic sign", "train", "truck"]
""" Inverse convert function """
def i_convert(size, box):
... | jwchoi384/Gaussian_YOLOv3 | bdd_evaluation/convert_txt_to_bdd_eval_json.py | convert_txt_to_bdd_eval_json.py | py | 2,038 | python | en | code | 660 | github-code | 6 |
35489755246 | # file to work with polls
import db_interface
import random
num_to_part = {
0: "noun",
1: "verb",
2: "adj",
3: "adv",
4: "other"
}
class Poll:
def __init__(self, options, correct_option_id, question, is_anonymous):
self.options = options
self.correct_option_id = correct_optio... | Bliznetc/tg_bot_ | polls.py | polls.py | py | 2,160 | python | en | code | 1 | github-code | 6 |
18091289859 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('account', '0045_auto_20150130_0558'),
]
operations = [
migrations.AlterField(
model_name='basicmemberinformation... | hongdangodori/slehome | slehome/account/migrations/0046_auto_20150130_0600.py | 0046_auto_20150130_0600.py | py | 531 | python | en | code | 0 | github-code | 6 |
39713348458 | from os.path import join, dirname, realpath, exists
from PIL import Image, ImageDraw, ImageFont
import numpy
import base64
from io import BytesIO
# info: image (PNG, JPG) to base64 conversion (string), learn about base64 on wikipedia https://en.wikipedia.org/wiki/Base64
def image_base64(img, img_type):
with Bytes... | katiehickman/m224_seals | image.py | image.py | py | 6,588 | python | en | code | 1 | github-code | 6 |
16409168230 | import random
import time
'''
数据库，未来数据库会向实体数据库迁移。
这些将作为初始化用数据。
并给出展示数据的一类解决方案
'''
'''
================================================================tools=================================================
'''
'''
对只有str的list用
'''
def geting_str(lists):
lis = ''
for items in lists:
lis += items
return lis
'''
将str... | masterfzb/AIreader | data_base.py | data_base.py | py | 10,760 | python | en | code | 1 | github-code | 6 |
35257204680 | import minerl
from minerl.data import BufferedBatchIter
import numpy as np
import random
from itertools import combinations
from actions import action_names
import cv2
import numpy as np
import torch
'''
The mineRL framework models actions as dictionaries of individual actions. Player recorded demonstrat... | anishhdiwan/DQfD_Minecraft | demo_sampling.py | demo_sampling.py | py | 8,704 | python | en | code | 0 | github-code | 6 |
71877607227 | #pyautogui 라이브러리 추가
#pip install pyautogui
import pyautogui #듀얼모니터는 인식 안됨
#마우스 현재 좌표 출력
#pyautogui.position()
#해당 좌표로 마우스 이동
#pyautogui.moveTo(40, 154)
#이미지 추출 라이브러리 추가
#pip install opencv-python
#해당하는 이미지와 유사한 화면이 존재하는 위치로 이동(출력결과 : x축 값, y축 값 , 가로 길이, 세로 길이)
#pyautogui.locateOnScreen('')
#좌표, 저장될 이미지 길이(x축 값, y축... | BrokenMental/Python-Study | pyautogui.py | pyautogui.py | py | 1,032 | python | ko | code | 0 | github-code | 6 |
31678929018 | # import and necessary libraries
import dask.distributed
import dask.utils
import numpy as np
import planetary_computer as pc
import xarray as xr
from IPython.display import display
from pystac_client import Client
import matplotlib.pyplot as plt
import folium
from odc.stac import configure_rio, stac_load
# Function ... | Christobaltobbin/OpenDataCube | Scripts/odc_utils.py | odc_utils.py | py | 3,287 | python | en | code | 0 | github-code | 6 |
36818284421 | import pytest
from database import Model, ModelAttribute
pytestmark = pytest.mark.asyncio
class A(Model):
a = ModelAttribute()
b = ModelAttribute()
c = ModelAttribute()
@pytest.mark.parametrize('count', (10, 15))
async def test_insert_find(db, count):
c_true_count = 0
for i in range(count):
... | AzaubaevViktor/vk_grabber | src/database/tests/test_no_uid.py | test_no_uid.py | py | 1,000 | python | en | code | 1 | github-code | 6 |
4424193456 | import sys
from utils.MyStats import *
if __name__=="__main__":
if len(sys.argv) != 2:
print("Error: number arguments")
exit()
classes_ = ["Ravenclaw", "Slytherin", "Gryffindor", "Hufflepuff"]
path = sys.argv[1]
classes_label = "Hogwarts House"
drop_columns = ["First Name", "Last Na... | artainmo/dslr | scatter_plot.py | scatter_plot.py | py | 637 | python | en | code | 0 | github-code | 6 |
35540502029 | a, b = map(int, input().split())
if a > b:
temp: int = a
a, b = b, temp
arr = list([i for i in range(a+1, b)])
print(len(arr))
for i in arr:
print(i, end=" ") | BlueScreenMaker/Yeummy_Algorithm | BOJ/BOJ 10093 숫자.py | BOJ 10093 숫자.py | py | 173 | python | en | code | 0 | github-code | 6 |
21018004406 | #!/usr/bin/env python
# -*- coding: utf -8 -*-
""" Collection of functions for TLE propagation and estimation
===========================================================
"""
__author__ = "Mirco Calura"
__maintainer__ = "Matteo Aquilano"
__copyright__ = "Copyright 2020 by SES ENGINEERING S.A. All Rights Reserve... | maxmartinezruts/satellite-collision-avoidance-GUI | DataProcess/sgp4/tle_lib.py | tle_lib.py | py | 4,482 | python | en | code | 3 | github-code | 6 |
43372057736 | from Node import Node
#if greater we go right, if lower we go left
class BST:
def __init__(self, head_node_value):
self.head_node = Node(head_node_value) #this is an instance of the Node
self.sorted_node_values = []
def add_node(self, value, node=None):
new_node = Node(value)
... | simachami/Week4-Day3 | BST.py | BST.py | py | 3,125 | python | en | code | 0 | github-code | 6 |
1957129894 | # import the modules to access their methods
import random
import time
import emoji
# Defined this user defined function
def ran():
inp = int(input("Guess the number Between 1 and 10\n"))
Guess = None
Guess = random.randrange(1,10)
if inp > 0 and inp < 11:
if inp == Guess:
# g... | RajeshKumar-1998/Guess-No-Game | Guess Num Game.py | Guess Num Game.py | py | 1,258 | python | en | code | 0 | github-code | 6 |
44427355496 | import os
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import (assert_equal, assert_raises_rpc_error)
def read_dump(file_name, addrs, hd_master_addr_old):
"""
Read the given dump, count the addrs that match, count change and reserve.
Also check that the old hd_m... | bitcoin-sv/bitcoin-sv | test/functional/wallet-dump.py | wallet-dump.py | py | 4,774 | python | en | code | 597 | github-code | 6 |
6144518391 | def number_stops(m,n,stops):
current = 0
nb =0
last = -1
while(current<=n):
last = current
while(current<=n) and (stops[current+1]-stops[last]<=m):
current += 1
if current == last:
return -1
elif(current<=n):
nb +=1
return nb
if ... | OualhaSlim/Algorithmic-Toolbox | greedy_algorithms/3_car_fueling.py | 3_car_fueling.py | py | 525 | python | en | code | 0 | github-code | 6 |
156567587 | #-*- coding: utf-8 -*-
import numpy as np
from sklearn.cluster import AgglomerativeClustering as sk_AgglomerativeClustering
from sklearn.externals.joblib import Memory
from .clustering import Clustering
class AgglomerativeClustering(Clustering):
"""docstring for AgglomerativeClustering."""
def __init__(self, d... | netoaraujjo/hal | clustering/agglomerative_clustering.py | agglomerative_clustering.py | py | 1,946 | python | en | code | 0 | github-code | 6 |
42284509571 |
class Stack:
stack = ""
def __init___(self):
pass
def push(self, element):
self.stack += element
def pop(self):
element = None
if not self.is_empty():
element = self.stack[-1]
self.stack = self.stack[:-1]
return element
def __str__(self):
return self.stack
def is_empty(self):
if len(... | rijumone/compete_code | g4g/parantheses_checker.py | parantheses_checker.py | py | 2,221 | python | en | code | 0 | github-code | 6 |
29552040169 | import numpy as np
import unittest
def canonize_labels(x, support=None):
'''
1. construct a dict
- if not support, construct using np.unique
- if support, check validation, then iterate to get the dict
2. use map to transform the data
'''
if type(x) == list:
x = np.array(x)
... | rafaelxiao/infinity | tools/process_canonize_labels.py | process_canonize_labels.py | py | 985 | python | en | code | 0 | github-code | 6 |
12722977840 | #!/usr/bin/python3
import numpy as np
import random
"""
w/ decision tree we want to choose features based on greatest information gain (smallest entropy)
p_dot = P/(P+N)
Entropy: Imp(p_dot) = -p_dot*log_2(p_dot) - (1-p_dot)log_2(1-p_dot)
Combine entropy of branches with weights for total entropy after split
Lowest E... | Mgla96/DiabeticRetinopathy | diabeticret.py | diabeticret.py | py | 17,450 | python | en | code | 0 | github-code | 6 |
39371296170 | pcts = ("10", "12", "15") # Tuple
pcts_types = " or ".join(pcts)
print("Welcome to the tip calculator!")
bill = float(input("What was the total bill? $"))
tip = int(input(f"What percentage tip would you like to give? {pcts_types}? "))
people = int(input(f"How many people to split the bill? "))
amount = round(((bill * ... | carlohcs/100-days-of-code-python-pro-bootcamp-for-2022 | days/03/tip_calculator.py | tip_calculator.py | py | 430 | python | en | code | 0 | github-code | 6 |
7769213718 | import numpy as np
import torch
import random
from PIL import Image
#---------------------------------------------------------#
# 将图像转换成RGB图像，防止灰度图在预测时报错。
# 代码仅仅支持RGB图像的预测，所有其它类型的图像都会转化成RGB
#---------------------------------------------------------#
def cvtColor(image):
if len(np.shape(image)) == 3 and np.shap... | yangshunzhi1994/SCD | object verification/utils/utils.py | utils.py | py | 3,489 | python | en | code | 0 | github-code | 6 |
40687305933 | import argparse
import json
from typing import List
from google.protobuf import json_format
from load_tests.common import (
benchmark_grpc_request,
make_full_request_type,
make_output_file_path,
)
from magma.common.service_registry import ServiceRegistry
from orc8r.protos.common_pb2 import Void
from orc8r.... | magma/magma | lte/gateway/python/load_tests/loadtest_directoryd.py | loadtest_directoryd.py | py | 7,544 | python | en | code | 1,605 | github-code | 6 |
35317487695 | from flask_socketio import send, emit, join_room
from flaskapp.blueprints.web.models.chat import ChatModel
def getChat(socketio):
# @socketio.on('connect')
# def connect():
# print('connect: ')
@socketio.on('joinPrivateGroup')
def joinPrivateGroup(data):
print('joinPrivateGroup', data)... | Igorok/flaskapp | flaskapp/blueprints/web/chat.py | chat.py | py | 861 | python | en | code | 0 | github-code | 6 |
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