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17055643944 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class MaskedUserCertView(object):
def __init__(self):
self._is_certified = None
self._user_id = None
self._user_name = None
@property
def is_certified(self):
re... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/MaskedUserCertView.py | MaskedUserCertView.py | py | 1,861 | python | en | code | 241 | github-code | 13 |
6374990783 | import scrapy
from ..items import TestItem
class TestSpider(scrapy.Spider):
name = "test"
allowed_domains = ["www.runoob.com"]
start_urls = ["http://vip.stock.finance.sina.com.cn/corp/view/vRPD_NewStockIssue.php"]
def parse(self, response):
data = response.xpath('//*[@id="NewS... | JohnKingm123/DailyTraining | 20230920/Proj/ttt/ttt/spiders/test.py | test.py | py | 1,134 | python | en | code | 0 | github-code | 13 |
11562139201 | class Student:
def __init__(self, name: str, school: str):
self.name = name.capitalize()
self.school = school.capitalize()
self.marks = []
def average_mark(self):
return sum(self.marks) / len(self.marks)
@classmethod
def friend(cls, origin, friend_name: str, *args, **kw... | ikostan/automation_with_python | IntroToPython/inheritance.py | inheritance.py | py | 1,047 | python | en | code | 0 | github-code | 13 |
21102824071 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Aug 23 09:42:57 2021
@author: rotoapanta
"""
"""
crear una funcion de nombre fibonacci, que reciba como parámetro un numero
n fibonacci(n) y que genera los numeros contenidos entre [0,n]
correspondiente a la serie o sucesión de Fibonacci
"""
def fibon... | rotoapanta/programacion_python_aplicada_ingenieria | test2/fibonacci.py | fibonacci.py | py | 442 | python | es | code | 0 | github-code | 13 |
29834703955 | from spider.exam_handler import *
import requests
# 考试相关查询爬虫
class Exam(object):
def __init__(self):
self.url = {
'ch_test': 'http://www.cltt.org/StudentScore/ScoreResult',
'admit_query': 'http://zsjy.gzhu.edu.cn/gklqcxjgy.jsp?wbtreeid=1080'
}
self.cl... | vancece/GZHU-Pi | Server_py/spider/exam_spider.py | exam_spider.py | py | 2,609 | python | en | code | 19 | github-code | 13 |
37019452046 | # This is a sample Python script.
from mdb_bp import driver
from datetime import datetime
import csv
databaseName = "main"
productBlockchainName = "product"
materialsBlockchainName = "material"
projectBlockchainName = "project"
# Press the green button in the gutter to run the script.
if __name__ == '__main__':
#... | blockpointSystems/python-example | main.py | main.py | py | 4,863 | python | en | code | 0 | github-code | 13 |
28680538035 | import sys
input = sys.stdin.readline
N = int(input())
ns = [0]
ns.extend([int(input()) for _ in range(N)])
dp = [0 for _ in range(N+1)]
if N >= 1:
dp[1] = ns[1]
if N >= 2:
dp[2] = ns[2] + ns[1]
if N >= 3:
for i in range(3,N+1):
dp[i] = max(dp[i-1],dp[i-2]+ns[i],dp[i-3]+ns[i]+ns[i-1])
print(dp[-1])... | hodomaroo/BOJ-Solve | 백준/Silver/2156. 포도주 시식/포도주 시식.py | 포도주 시식.py | py | 323 | python | en | code | 2 | github-code | 13 |
39477635724 | import pygame
import sys
class Grid:
# constructor
def __init__(self,width,height,R):
self.width = width
self.height = height
self.W = int(width/R) + 1
self.H = int(height/R) + 1
self.R = R
self.boxes = {}
# add an index to the relevant boxes given a spacial coordinate
def add(self,vec,ind):
x = i... | BrownestAndStickyest/Some-fun-programming | Fluid simulations/Grid.py | Grid.py | py | 1,009 | python | en | code | 0 | github-code | 13 |
18751279978 | # -*- coding=utf-8
import time
from qcloud_cos import CosConfig
from qcloud_cos import CosS3Client
import sys
import logging
import os
# 腾讯云COSV5Python SDK, 目前可以支持Python2.6与Python2.7以及Python3.x
# https://cloud.tencent.com/document/product/436/48987
logging.basicConfig(level=logging.INFO, stream=sys.stdout)
# 设置用户... | tencentyun/cos-python-sdk-v5 | demo/ci_media.py | ci_media.py | py | 66,969 | python | zh | code | 173 | github-code | 13 |
1346899171 | from typing import Dict, List, Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.utils.rnn as rnn_utils
from pyhealth.datasets import SampleEHRDataset
from pyhealth.models import BaseModel
# VALID_OPERATION_LEVEL = ["visit", "event"]
class RETAINLayer(nn.Module):
"""RETAIN layer.
Paper: E... | sunlabuiuc/PyHealth | pyhealth/models/retain.py | retain.py | py | 17,019 | python | en | code | 778 | github-code | 13 |
16852688736 | # Class and Object Basics
'''
Python is an object oriented programming language.
Almost everything in Python is an object, with its properties and methods.
'''
# >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
# class
'''
A Class is like an object constructor... | Aswanthcp/python-Basics | classBasics.py | classBasics.py | py | 2,657 | python | en | code | 0 | github-code | 13 |
24237793306 | from API.LL_API import LL_API
import datetime
from UI.airplaneUI import AirplaneUI
from UI.crewUI import CrewUI
from UI.EditMenus.extra_crewmember_menu import AddExtraCrewmemberMenu
import datetime
class VoyageUI:
EMPTY = 'empty'
SEPERATOR = '-'
def getDateInput(self):
'''Gets a date input from t... | helenaj18/Dagbok | NaNair/UI/voyageUI.py | voyageUI.py | py | 25,605 | python | en | code | 0 | github-code | 13 |
69893121299 | """Intersections between districts and counties.
Get which districts intersect with which counties.
This will speed up the block level interpolation because we can reduce
to counties that intersect with each district rather than interpolating on
the entire state.
"""
import geopandas as gpd
import os
from download_ce... | jacobwachspress/locality-splitting | geoprocessing/county_district_intersections.py | county_district_intersections.py | py | 3,946 | python | en | code | 1 | github-code | 13 |
20839376233 | """
stock unittest
"""
import unittest
import pandas as pd
import numpy as np
from stock import get_balance_sheet, get_profit_statement
from stock import get_annual_report, get_quarterly_results
from stock import get_basic_info, get_level0_report, get_level1_report
from stock import classifier_level_report, pct_chang... | flychensc/orange | test/test_stock.py | test_stock.py | py | 6,205 | python | en | code | 1 | github-code | 13 |
10510330475 | from selenium.common.exceptions import NoSuchElementException
import math
from selenium.common.exceptions import NoAlertPresentException
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from .... | MikalaiKryvusha/stepik-selenium-page-object | pages/base_page.py | base_page.py | py | 3,652 | python | en | code | 0 | github-code | 13 |
22233431173 | """import array as arr
myArray = arr.array('hello', [1.3, 2.4, 5.6])
print(myArray[0])"""
import pprint
def ThreeD(a, b, c):
lst = [[ ['#' for col in range(a)] for col in range(b)] for row in range(c)]
return lst
col1 = 5
col2 = 3
row = 2
pprint.pprint(ThreeD(col1, col2, row))
| Cu3t0m/Projects-2.0 | Python/School/tests.py | tests.py | py | 294 | python | en | code | 0 | github-code | 13 |
19552598700 | # 491 - Tile Topology
# Resources: http://stackoverflow.com/questions/60208/replacements-for-switch-statement-in-python
import sys
def get_tilings(n):
return{
2: str(1),
3: str(2),
4: str(7),
5: str(18),
6: str(60),
7: str(196),
8: str(704),
9: str(2500),
10: str(9189),
11: str(33896),
12: s... | tristan-hunt/UVaProblems | tiletopology.py | tiletopology.py | py | 516 | python | en | code | 0 | github-code | 13 |
498099367 | import os
import time
import torch
import datetime
import numpy as np
from tqdm import tqdm
from models import *
from transformers import BertTokenizer
from trainer.utils import multi_acc, multi_mse, load_datasetbert_from_local, multi_f1_macro, multi_f1_micro
from models.get_optim import get_Adam_optim_v2
ALL_MODLES... | yoyo-yun/DG_RRR | trainer/trainer_bert.py | trainer_bert.py | py | 17,326 | python | en | code | 0 | github-code | 13 |
42415745375 | from torch import nn, optim
from torch.autograd import Variable
import torch
from torch.nn import functional as F
class ModelWrapperWGAN:
def __init__(self, d, g,
clamp_lower, clamp_upper,
opt_params,
input_, noise,
meters, loggers):
self... | festeh/GAN-thesis | WGAN/model.py | model.py | py | 2,440 | python | en | code | 0 | github-code | 13 |
35784943708 | import numpy as np
import pickle
import os
import argparse
import matplotlib.pyplot as plt
from tqdm import tqdm
import torch
from torch.utils.data import DataLoader
from rf.model import RF_conv_decoder
from rf.proc import rotateIQ
from data.datasets import RFDataRAMVersion
from losses.NegPearsonLoss import Neg_Pe... | UCLA-VMG/EquiPleth | nndl/rf/train.py | train.py | py | 11,112 | python | en | code | 6 | github-code | 13 |
18002512993 | # -*- coding: utf-8 -*-
from django.contrib import admin
from translater.models import TranslatedString,OriginalString
class TranslatedStringAdmin(admin.ModelAdmin):
list_display = ['translated','To']
admin.site.register(TranslatedString,TranslatedStringAdmin)
class OriginalStringAdmin(admin.ModelAdmin):
... | lauro-cesar/Django-template-Tag-Translator | translater/admin.py | admin.py | py | 466 | python | en | code | 4 | github-code | 13 |
26377037128 | #!python
import sys
import numpy as np
import utils
# Metric function to compare histograms
def chi2_distance(histA, histB, eps = 1e-10):
# compute the chi-squared distance
d = 0.5 * np.sum([((a - b) ** 2) / (a + b + eps)
for (a, b) in zip(histA, histB)])
# return the chi-squared distance
return d
# This fun... | MarkLuk/cryptopals | challenge03.py | challenge03.py | py | 2,790 | python | en | code | 0 | github-code | 13 |
72392505619 | import cv2 as cv
import numpy as np
img = np.ones((800,800,3), dtype='uint8')
font = cv.FONT_HERSHEY_COMPLEX
# putText format is... image,text,position,font,font-size,color,line-size,line-type
cv.putText(img, 'Naruto Uzumaki',(150,400), font, 2, (255,255,255), 6, cv.LINE_4)
cv.imshow('Writing Text',img)
cv.wai... | Reaper-Dhan/OpenCV-Learning | Drawing/text.py | text.py | py | 350 | python | en | code | 0 | github-code | 13 |
19415005286 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mlp
from matplotlib.font_manager import fontManager
# 引入中文字體
fontManager.addfont('ChineseFont.ttf')
mlp.rc('font', family='ChineseFont')
data = pd.read_csv('./Salary_Data.csv')
# print(data)
# 數學上可以用 y = w * x + b 來表示一條直線
# 月... | IOUKI/simple-linear-regression | gradientDescent.py | gradientDescent.py | py | 3,408 | python | en | code | 0 | github-code | 13 |
72570257939 | import lightning.pytorch as pl
import torch.nn as nn
import torch
import math
from model.transformer.encoder_layer import EncoderLayer
from model.transformer.positional_encoding import positional_encoding
class Encoder(nn.Module):
def __init__(self, num_layers, d_model, num_heads, dff, input_vocab_size,
... | Junhua9981/NCU_NLP_Assignments | Homework1_NER_WNUT2016/model/transformer/encoder.py | encoder.py | py | 1,299 | python | en | code | 0 | github-code | 13 |
25119010319 | from __future__ import print_function
from ape1_and_apeplan import ipcArgs, envArgs, APE1, APEplan
from shared.dataStructures import PlanArgs
from timer import globalTimer, SetMode
#from time import time
from state import ReinitializeState, RemoveLocksFromState
import threading
import colorama
from shared import GLOBAL... | patras91/rae_release | planners/APE_and_APEplan/APE.py | APE.py | py | 7,978 | python | en | code | 1 | github-code | 13 |
26388593480 | #!/usr/bin/python3
"""
module 1
"""
from sys import argv
saving = __import__("7-save_to_json_file").save_to_json_file
loading = __import__("8-load_from_json_file").load_from_json_file
try:
x = loading("add_item.json")
except Exception:
x = []
for arg in argv[1:]:
x.append(arg)
saving(x, "add_item.json")
| nourouhichi/higher_level_programming | 0x0B-python-input_output/9-add_item.py | 9-add_item.py | py | 319 | python | en | code | 0 | github-code | 13 |
37449835905 | import sys
sys.path.insert(0, './yolov5')
import os
from pathlib import Path
import cv2
import torch
from yolov5.models.common import DetectMultiBackend
from yolov5.utils.datasets import LoadImages
from yolov5.utils.general import LOGGER, check_img_size, non_max_suppression, scale_coords, check_imshow, xyxy2xywh, \
... | nk-v/Tracker | main.py | main.py | py | 7,664 | python | en | code | 0 | github-code | 13 |
10686719159 |
import random
from qlearnexamples import *
# The Q-Learning Algorithm
# EXERCISE ASSIGNMENT:
# Implement the Q-learning algorithm for MDPs.
# The Q-values are represented as a Python dictionary Q[s,a],
# which is a mapping from the state indices s=0..stateMax to
# and actions a to the Q-values.
#
# Choice of actio... | beyzabutun/Artificial-Intelligence | qlearn/qlearn.py | qlearn.py | py | 3,531 | python | en | code | 0 | github-code | 13 |
3870210741 | import hppfcl
import numpy as np
import meshcat
import meshcat.geometry as mg
import meshcat.transformations as tf
import pinocchio as pin
from distutils.version import LooseVersion
import warnings
from typing import Any, Dict, Union, List
MsgType = Dict[str, Union[str, bytes, bool, float, 'MsgType']]
def npToTTuple(M... | agimus-project/winter-school-2023 | simulation/sim2_collision/utils_render.py | utils_render.py | py | 13,620 | python | en | code | 0 | github-code | 13 |
1808191237 | from abc import ABC, abstractmethod
from typing import List, NamedTuple, Union
from flask import current_app, g
from serpapi import GoogleSearch
SEARCH_PARAMS = {
"engine": "google_scholar",
"hl": "en",
"start": 0,
"num": "20",
}
class GoogleScholarAuthor(NamedTuple):
name: str
link: str
clas... | OHDSI/CommunityDashboard | projects/plots/plots/services/google_scholar.py | google_scholar.py | py | 2,077 | python | en | code | 5 | github-code | 13 |
72714660177 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created on Fri Apr 29 13:44:51 2016
@author: sthomp
Command Line Script to run vetter on the K2 data.
Inputs
File of this info or the info itself
EpicId
Campaign
Period (days)
epoch (bkjd)
depth (ppm)
config File
"""
import dave.pipeline.clipboar... | exoplanetvetting/DAVE | runbackend/justVetK2.py | justVetK2.py | py | 8,284 | python | en | code | 9 | github-code | 13 |
6048080557 | # _*_ coding:utf-8 _*_
import json
import requests
url = 'https://api.github.com/some/endpoint'
payload = {'some': 'data'}
headers = {'content-type': 'application/json'}
r = requests.post(url, data=json.dumps(payload), headers=headers)
print(r.url)
print(r.text)
payload = {'key': 'value1', 'key2': 'value2'}
r = reque... | VersionBeathon/Expension | practice_requests/create_head.py | create_head.py | py | 567 | python | en | code | 0 | github-code | 13 |
22107827089 | import pandas as pd
import logging
from decouple import config
from sqlalchemy import create_engine
def salidas():
RUTA_CSV = 'C:\\Users\\WalterPc\\Documents\\Alkemy\\'
nombre = 'archivo.csv'
archivo = nombre
engine = create_engine(conection())
archivocsv=pd.read_csv(RUTA_CSV+archivo, sep=',... | Wquiroz2022/Analisis-de-Datos---Python | app/config.py | config.py | py | 1,378 | python | es | code | 0 | github-code | 13 |
43976370301 | import jieba
from collections import Counter
import math
#窗口大小为2
def combine2gram(cutword_list):
if len(cutword_list) == 1:
return []
res = []
for i in range(len(cutword_list) - 1):
res.append(cutword_list[i] + cutword_list[i + 1])
return res
#窗口大小为3
def combine3gram(cutword_list):
... | iluveatingmyf/DL-NLP2022-Homework | entropy_calculating_char.py | entropy_calculating_char.py | py | 3,629 | python | en | code | 0 | github-code | 13 |
1330807783 |
import csv
import os
import datetime
import re
def read_csv_file(filename):
results = []
with open(filename, mode='r') as csv_file:
csv_reader = csv.DictReader(csv_file)
count = 0
for row in csv_reader:
count = count + 1
if "FOODTYPE" in row:
if row["FOODTYPE"] != "":
results.append(row)
retu... | stevezieglerva/nc-state-fair-ride-and-food-finder | create_page.py | create_page.py | py | 3,912 | python | en | code | 0 | github-code | 13 |
37882452380 | directions = [(-1,0), (1, 0), (0,-1), (0,1)]
def helper(r, c, count, lst, num):
if count == 7:
return [num]
else:
for dr, dc in directions:
if (dr+r>3) or (dr+r<0) or (dc+c>3) or (dc+c<0):
continue
lst.add(helper(r+dr, c+dc, count+1, lst, num*10 + int(bo... | kod4284/kod-algo-note | 삼성Expert/D4/2819-격자판의-숫자-이어붙이기/solution2.py | solution2.py | py | 815 | python | en | code | 0 | github-code | 13 |
39587358131 | # POC for ACR token creation
import adal # <= ToDo: should probably be using MSAL
import requests
import os
import json
# can use this to debug requests
import http.client
# Registry Token mgmt features are not yet available in the SDK
# can replace using env vars with KeyVault entries
tenant = os.environ['AZURE_TENA... | edwin-huber/ACR_Token_POC | src/ACR_Rest_Client.py | ACR_Rest_Client.py | py | 6,170 | python | en | code | 0 | github-code | 13 |
32648513996 | from django.db import models
class RainbowEntry(models.Model):
baseID = models.AutoField(primary_key=True)
base = models.CharField("Base", max_length=15, null=True, blank=True)
hashes = models.TextField("Hashes", null=True, blank=True)
added = models.DateTimeField("Added", auto_now_add=True)
class... | rclmenezes/Mebro | jp/models.py | models.py | py | 1,608 | python | en | code | 1 | github-code | 13 |
31929390814 | """
utility module for azimuthal-related plots
"""
import numpy as np
from scipy.signal import gaussian
import util
###############################################################################
outer_start = 1.1
outer_end = 2.3
### Helper Methods ###
def my_searchsorted(array, target):
""" np.searchsorted, ... | Sportsfan77777/vortex | code_synthetic_images/archive/azimuthal.py | azimuthal.py | py | 13,155 | python | en | code | 1 | github-code | 13 |
4087258661 | import numpy as np
import matplotlib.pyplot as plt
import urllib.request
# ごくシンプルな畳み込み層を定義しています。
class Conv:
def __init__(self, W, filters, kernel_size):
self.filters = filters
self.kernel_size = kernel_size
self.W = W # np.random.rand(filters, kernel_size[0], kernel_size[1])
def f_prop... | yasuno0327/LearnCNN | aidemy/cnn/task8.py | task8.py | py | 3,246 | python | en | code | 1 | github-code | 13 |
37862226263 | import numpy as np
def idlMod(a, b):
"""
Emulate 'modulo' behavior of IDL.
Parameters
----------
a : float or array
Numerator
b : float
Denominator
Returns
-------
IDL modulo : float or array
The result of IDL modulo operation.
"""
if isinstance(a... | sczesla/PyAstronomy | src/pyasl/asl/idlMod.py | idlMod.py | py | 448 | python | en | code | 134 | github-code | 13 |
26108341204 | import heapq
import sys
V, E = map(int, input().split())
start = int(input())
g = [[] for _ in range(V+1)]
for _ in range(E):
u, v, w = map(int, input().split())
g[u].append([v, w])
D = [sys.maxsize] * (V+1)
def dijkstra(start):
q = []
heapq.heappush(q, (0, start))
D[start] = 0
while q:
... | necteo/CoTeStudy | boj/1753_최단경로.py | 1753_최단경로.py | py | 765 | python | en | code | 0 | github-code | 13 |
22236156146 | import unittest
from unittest import mock
import uuid
import tempfile
import os
from pathlib import Path
import numpy as np
from iblutil.io.parquet import uuid2np, np2uuid, np2str, str2np
from iblutil.io import params
import iblutil.io.jsonable as jsonable
from iblutil.numerical import intersect2d, ismember2d, ismemb... | int-brain-lab/iblutil | tests/test_io.py | test_io.py | py | 3,441 | python | en | code | 0 | github-code | 13 |
24344322593 | #!/usr/bin/python
from max6675 import MAX6675, MAX6675Error
import time
import socket#for sockets
import sys#for exit
import struct
# Make sure to use the pi's GPIO numbers of pins rather than the generic pin numbers 1-40 as they do not match.
cs_pin = 24 #(CS)
clock_pin = 23 #(SCLK/SCK)
data_pin = 22 #(SO/MOSI)
units... | sheparddw/pi-coffee-roaster-probe | sendTempToRDP.py | sendTempToRDP.py | py | 2,438 | python | en | code | 1 | github-code | 13 |
30000443028 | import json
# breadJson
breadJson = [
{
"breadType": "cream",
"recipe": {
"flour": 100,
"water": 100,
"cream": 200
}
},
{
"breadType": "sugar",
"recipe": {
"flour": 100,
"water": 50,
"sugar": 200... | jhs3104/Test_vcanus | 1/bread.py | bread.py | py | 2,687 | python | en | code | 0 | github-code | 13 |
15147955039 | #coding=utf-8
import os
import pandas as pd
from sklearn.model_selection import train_test_split
from dataset.bd_xjtu_dataset import collate_fn, dataset
import torch
import torch.utils.data as torchdata
from torchvision import datasets, models, transforms
from torchvision.models import resnet50
import torch.optim as op... | OdingdongO/pytorch_classification | 2018_bd_xjtu_train.py | 2018_bd_xjtu_train.py | py | 3,045 | python | en | code | 251 | github-code | 13 |
70520255697 |
import os
import torch
import torch.nn as nn
from einops import rearrange
# import imageio.v3 as iio
import numpy as np
import copy
import matplotlib.pyplot as plt
from torchvision import datasets, transforms
import math
import torch.nn.functional as F
import warnings
from IJEPA.video_dataset import VideoFrameDataset,... | gbugli/DL_project_2023 | IJEPA/train_decoder.py | train_decoder.py | py | 12,512 | python | en | code | 0 | github-code | 13 |
2464952133 | import threading
import time
import random
class queue(object):
lock = threading.RLock()
def __init__(self):
self.item = -1
def add(self, n):
self.lock.acquire()
self.item = n
self.lock.release()
def remove(self):
self.lock.acquire()
saida = self.it... | fabiomoreirafms/CES-22-Exercicios | ExercicioThread.py | ExercicioThread.py | py | 1,314 | python | en | code | 0 | github-code | 13 |
17092913894 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
from alipay.aop.api.domain.PartnerVO import PartnerVO
class KoubeiRetailWmsPartnerQueryResponse(AlipayResponse):
def __init__(self):
super(KoubeiRetailWmsPartnerQueryResponse, self... | alipay/alipay-sdk-python-all | alipay/aop/api/response/KoubeiRetailWmsPartnerQueryResponse.py | KoubeiRetailWmsPartnerQueryResponse.py | py | 1,313 | python | en | code | 241 | github-code | 13 |
22191539702 | from typing import Any, Iterator
import yaml
from linkml.validator.loaders.loader import Loader
class YamlLoader(Loader):
"""A loader for instances serialized as YAML"""
def __init__(self, source) -> None:
"""Constructor method
:param source: Path to YAML source
"""
super()... | linkml/linkml | linkml/validator/loaders/yaml_loader.py | yaml_loader.py | py | 955 | python | en | code | 228 | github-code | 13 |
34884240139 | #Nishit Patel
#0946768
#LAB04
import socket
local_address = '0.0.0.0'
local_port = 80
#TCP/IP socket
npsocket = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
#bind ip address
npsocket.bind((local_address,local_port))
#print("Server listening on IP Address : "+ local_address +"\nPort "+ "80")
print... | nishitpatel28/security_application_lab4 | Echo_Server.py | Echo_Server.py | py | 1,095 | python | en | code | 0 | github-code | 13 |
23572265779 | a=input()
b=input()
if len(a)<len(b):
print('LESS')
elif len(a)>len(b):
print('GREATER')
else:
f=0
for i in range(len(a)):
if a[i]>b[i]:
print('GREATER')
break
elif a[i]<b[i]:
print('LESS')
break
else:
... | Kota28/AtCoder | ABC59_B.py | ABC59_B.py | py | 399 | python | en | code | 0 | github-code | 13 |
32664834120 | """Retrieve list of emails of people who hold access to a service."""
import json
import os
import jasmin_account_api_client as jclient
import jasmin_account_api_client.api.services as jservices
import jasmin_account_api_client.api.users as jusers
SERVICE_ID = 92
client = jclient.AuthenticatedClient("https://accoun... | cedadev/jasmin-account-api-client | examples/emails_of_roleholders.py | emails_of_roleholders.py | py | 1,082 | python | en | code | 0 | github-code | 13 |
33451067427 | import requests
class Market:
def __init__(self, question, address):
self.question = question
self.address = address
def market_checker():
api_url = "https://clob.polymarket.com/markets"
markets = []
response = requests.get(api_url, timeout=10, verify=False).json()
for element in... | udvarid/CoreWarDon | util/market_checker.py | market_checker.py | py | 480 | python | en | code | 0 | github-code | 13 |
44648342961 | import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
import math
import numpy as np
import datetime
from scipy import stats
def plot_cases_per_country(cummulative_data):
countries = ['Canada', 'US', 'China', 'Taiwan*']
# plot cumulative cases
for country in countries:
plt.plot(c... | HenryF23/COVID-19-Analysis | Project/analyze_rates.py | analyze_rates.py | py | 5,280 | python | en | code | 0 | github-code | 13 |
11628913075 | #!/usr/bin/env python
import numpy as np
import pytest
from deap import tools
from olympus import Observations, ParameterVector
from olympus.planners import Genetic
# use parametrize to test multiple configurations of the planner
@pytest.mark.parametrize(
"pop_size, cx_prob, mut_prob, mate_args, mutate_args, se... | aspuru-guzik-group/olympus | tests/test_planners/test_planner_genetic.py | test_planner_genetic.py | py | 3,149 | python | en | code | 70 | github-code | 13 |
5943374798 | # -*- coding: utf-8 -*-
import os
import sqlite3 as sql
from flask import Flask
from flask import request
from flask import send_file, render_template, redirect
from urllib.parse import unquote_plus
app = Flask(__name__)
@app.route('/')
def redirige():
return redirect("/index")
@app.route('/index', methods=['G... | AugustinCobena/Map-MerciMax | app.py | app.py | py | 7,518 | python | fr | code | 0 | github-code | 13 |
9891945104 | #
# Converted to Python by Eric Shen <ericshen@berkeley.edu>
# Sobel edge detector recognizer
#
import cv2
import numpy as np
import os
import argparse
import logging
log_format = '%(created)f:%(levelname)s:%(message)s'
logging.basicConfig(level=logging.DEBUG, format=log_format) # log to file filename='example.log',... | christhompson/recognizers-arch | apps/darkly/sobel/recog.py | recog.py | py | 1,460 | python | en | code | 1 | github-code | 13 |
71350187859 | from __future__ import annotations
from abc import ABCMeta
from abc import abstractmethod
from typing import List, Set, Dict, Union, Any, Optional
import numpy as np
import pandas as pd
import peperoncino as pp
class ColumnsChangedError(Exception):
pass
class RowsChangedError(Exception):
pass
class BaseP... | cafeal/peperoncino | peperoncino/processing.py | processing.py | py | 9,825 | python | en | code | 2 | github-code | 13 |
73019818579 | '''
1. List all interface
Confirm the interface, save selection for next running
2. Start to listen data in the interface
3. Ping device in 5s(may be need configure)
Send ping command
4. Collect response
Return the mac address
'''
from typing import Dict
from app.bootstrap import Bootstrap
from app.d... | yiweisong/ins401-log | main.py | main.py | py | 4,209 | python | en | code | 0 | github-code | 13 |
9520324484 | import json
import logging
import os
import re
import subprocess
import sys
from collections import defaultdict
from datetime import datetime, timedelta
import attr
import click
from click_loglevel import LogLevel
from tools.libs.net_utils import ip_if_not_local
from tools.libs.parse_args import LoggingArgumentParser... | canepan/bot | src/tools/bin/service_map.py | service_map.py | py | 9,185 | python | en | code | 1 | github-code | 13 |
30630290472 | """ Python program to find factoral
using two method recursive and iterative"""
#By recursion method
def fact (n):
if n==1:
return 1
else:
return n*fact(n-1)
a=int(input("Enter the number to find the factorial: "))
print(f"The Factorial of {a} is {fact(a)}")
#By iteration... | aliasthomas/factorial | factorial.py | factorial.py | py | 516 | python | en | code | 1 | github-code | 13 |
11818122295 | class hmshow():
def __init__(self, word, letter, guessed):
self.word = word
self.letter = letter.upper()
self.guessed = guessed
def show(self):
_word = []
length = len(self.guessed)
if self.letter not in self.word:
print("Incorrect !!!")
for l... | PranabBandyopadhyay/Tutorial1 | hangman_show.py | hangman_show.py | py | 673 | python | en | code | 0 | github-code | 13 |
17091318724 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
from alipay.aop.api.domain.MemberWalletBalanceDetailVO import MemberWalletBalanceDetailVO
class AntMerchantMemberwalletBalancedetailsQueryResponse(AlipayResponse):
def __init__(self):
... | alipay/alipay-sdk-python-all | alipay/aop/api/response/AntMerchantMemberwalletBalancedetailsQueryResponse.py | AntMerchantMemberwalletBalancedetailsQueryResponse.py | py | 2,065 | python | en | code | 241 | github-code | 13 |
36549546702 | import sys
import os
import configparser
import subprocess
import json
try:
from .matcher import Matcher
from .pbar import Pbar
from .run_sys_agent import agent_system
except ImportError as ex:
path=os.path.abspath('.')
if 'tools' in path.replace('\\','/').split('/'):#这里是为了便于开发调试
path=path.... | ezeeo/ctf-tools | Library/utils/py_env_util.py | py_env_util.py | py | 12,214 | python | en | code | 8 | github-code | 13 |
23510532976 | from __future__ import division
import os
import numpy as np
import math
import csv
from time import localtime, strftime
from PIL import Image
import scipy.misc
import subprocess
import matplotlib.pyplot as mp
def loadDemo(data_path, resize_size):
# Read human_demo.txt
txt_name = [ss for ss in os.listdir(dat... | fei960922/Research_STGC_IL | src/util.py | util.py | py | 8,251 | python | en | code | 1 | github-code | 13 |
23495299506 | #!/bin/python3
import math
import os
import random
import re
import sys
if __name__ == '__main__':
arr = []
for _ in range(6):
arr.append(list(map(int, input().rstrip().split())))
sum_a = []
for index in range(0,4):
for key in range (0,4):
a = sum(a... | dvphuonguyen/pythonCoBan | BaiTapCoBan/2D_array.py | 2D_array.py | py | 562 | python | en | code | 0 | github-code | 13 |
31494025262 | # Classe TV: Faça um programa que simule um televisor criando-o como um objeto. O usuário deve ser capaz de
# informar o número do canal e aumentar ou diminuir o volume. Certifique-se de que o número do canal e o nível
# do volume permanecem dentro de faixas válidas.
class TV:
def __init__(self):
self.vol... | GuilhermeMastelini/Exercicios_documentacao_Python | Classes/Lição 6.py | Lição 6.py | py | 1,481 | python | pt | code | 0 | github-code | 13 |
18983427061 | import math
def ticket_price(age):
if 0 <= age < 7 or age >= 60:
return "Бесплатно"
elif 7 <= age < 18:
return "100 рублей"
elif 18 <= age < 25:
return "200 рублей"
elif 25 <= age < 60:
return "300 рублей"
else:
return "Ошибка"
def double(value):
new_va... | tonyglaz/small_projects | py_tests/utils.py | utils.py | py | 1,632 | python | en | code | 0 | github-code | 13 |
27216166598 | #!/usr/bin/python3
'''
这个写出来是为了测试main包好不好使的
这个基本上是一个test的例子, 以后基本上就按照这个文件写
'''
import sys
sys.path.append("..")
import insummer
from insummer.query_expansion import EntityFinder
from insummer.read_conf import config
from insummer.query_expansion1.semantic_complement import add
def test1():
conf = config("../.... | lavizhao/insummer | code/test/test_main.py | test_main.py | py | 769 | python | en | code | 7 | github-code | 13 |
74593193616 | from os import environ
import os
SESSION_CONFIG_DEFAULTS = dict(real_world_currency_per_point=1,
participation_fee=0,
fixed_payment=25,
additional_payment=50,
variable_payment=1,
... | CarlMenger/DP_Stefunko | settings.py | settings.py | py | 2,190 | python | en | code | 0 | github-code | 13 |
35295874698 | from collections import defaultdict
n = int(input())
a = list(map(int, input().split()))
mod = 10**9+7
d = defaultdict(int)
for i in range(n):
d[a[i]] += 1
# odd
if n%2!=0:
for key in list(d.keys()):
if key==0 and d[key]!=1: exit(print(0))
elif key!=0 and key%2==0 and d[key]!=2: exit(print... | nozomuorita/atcoder-workspace-python | abc/abc050/c.py | c.py | py | 576 | python | en | code | 0 | github-code | 13 |
10191398595 | import copy
import sys
sys.setrecursionlimit(10 ** 6)
n = int(input())
arr = [list(map(int, input().split())) for _ in range(n)]
dx = [1, 0, -1, 0]
dy = [0, 1, 0, -1]
def dfs(x, y):
global cnt
visited[x][y] = 1
for i in range(4):
nx = x + dx[i]
ny = y + dy[i]
if 0 <= nx < n and ... | Jinnie-J/Algorithm-study | baekjoon/[2468]안전영역.py | [2468]안전영역.py | py | 973 | python | en | code | 0 | github-code | 13 |
72641301139 | from flask import Flask, render_template, redirect, url_for, flash, request
from flask_bootstrap import Bootstrap
from flask_ckeditor import CKEditor
from datetime import date
from werkzeug.security import generate_password_hash, check_password_hash
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.orm import rel... | wuwen6937/blog | main.py | main.py | py | 8,613 | python | en | code | 0 | github-code | 13 |
17039339854 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipayDigitalmgmtHrcominsuInsuclaimQueryModel(object):
def __init__(self):
self._data_key = None
@property
def data_key(self):
return self._data_key
@data_key.setter... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/AlipayDigitalmgmtHrcominsuInsuclaimQueryModel.py | AlipayDigitalmgmtHrcominsuInsuclaimQueryModel.py | py | 917 | python | en | code | 241 | github-code | 13 |
35205512329 | from collections import Counter
from util import aoc
def parse(input):
return sorted(int(j) for j in input.splitlines())
def part_one(model):
hist = Counter()
hist[3] = 1 # last adapter -> device
prev = 0
for j in model:
hist[j - prev] += 1
prev = j
return hist[1] * hist[3]... | barneyb/aoc-2023 | python/aoc2020/day10/adapter_array.py | adapter_array.py | py | 659 | python | en | code | 0 | github-code | 13 |
74651580498 | import time
n1 = int(input('Digite um valor: '))
n2 = int(input('Digite outro valor: '))
usuario = 0
while usuario != 5:
print('=-='*10)
print('[1] SOMAR\n[2] MULTIPLICAR\n[3] MAIOR\n[4] NOVOS NÚMEROS\n[5] SAIR DO PROGRAMA')
usuario = int(input('Sua escolha: '))
print('=-='*10)
if usuario == 1:
... | uRexxy/Python-Ex.-CEV | Exercícios/Exercício 059.py | Exercício 059.py | py | 865 | python | pt | code | 1 | github-code | 13 |
13382115386 | # Run Speed Up Data(Prepare Text File)
import os
from extractTextFile import OutputExtractor
# 首先從 Input 拿到不要執行的 Phase
inputf = input("Put the Phase that u not want to execute.(seperate by space) ").split(" ")
if not(len(inputf) == 1 and inputf[0] == ""):
notExecute = list(map(lambda x: int(x), inputf))
else:
... | Elven9/NTHU-2020PP-Mandelbrot-Set-Calculation | Script/runSpeedup.py | runSpeedup.py | py | 2,947 | python | en | code | 2 | github-code | 13 |
10348362786 | import sys
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from twitterAPI import *
global BLFile
BLFile = 'defaultList.txt'
global username
def window():
app = QApplication(sys.argv)
win = QWidget()
flo = QFormLayout()
userIn = QLineEdit()
userIn.textC... | Pilotman/scold-or-troll | main.py | main.py | py | 1,787 | python | en | code | 0 | github-code | 13 |
42166261240 | import subprocess
from selenium.common.exceptions import StaleElementReferenceException,\
MoveTargetOutOfBoundsException
import string
try:
import win32com.client
except:
pass
import enums
from base import *
import clsTestService
from general import General
from selenium.webdriver.common.keys import Keys
fr... | NadyaDi/kms-automation | web/lib/kea.py | kea.py | py | 317,258 | python | en | code | 0 | github-code | 13 |
39443461963 | # -*- coding: utf-8 -*-
""" Vented box enclosure """
import numpy as np
from . import air
class VentedBox(object):
""" Model a vented box loudspeaker enclosure """
def __init__(self, Vab, fb, Ql):
self._Vab = Vab
#: Acoustic compliance of box :math:`C_{ab}`
#:
#: .. note:: Do ... | Psirus/altai | altai/lib/vented_box.py | vented_box.py | py | 1,632 | python | en | code | 0 | github-code | 13 |
41847458573 | from schemas.response import Response, ErrorResponse, \
JsonResponse
from schemas.event import EventScheme
from lib.db import ydbclient
import ydb
from crud import create
async def main(event: EventScheme) -> Response:
print(event)
try:
await ydbclient.connect()
id = await create(event.bod... | Gamer201760/cloud-func-base | main.py | main.py | py | 629 | python | en | code | 0 | github-code | 13 |
40206200810 | #! /usr/bin/python3
#Single Exponential Smoothing
'''
Similar to weighted average, only with the diference that we consider all of data points, while assigning exponentially smaller
weights as we go back in time, eventually approaching the big old zero, the weights are dictated by math and decay uniformly.
The smaller... | PitCoder/NetworkMonitor | Service_Monitoring/Holt-Winters/single_exponential_smoothing.py | single_exponential_smoothing.py | py | 1,515 | python | en | code | 2 | github-code | 13 |
32315220205 | import time
import pyvisa
import logging
import numpy as np
class Array3664A:
def __init__(self, time_offset, resource_name):
self.time_offset = time_offset
self.rm = pyvisa.ResourceManager()
if resource_name != 'client':
try:
self.instr = self.rm.open_resource(... | js216/CeNTREX | drivers/Array3664A.py | Array3664A.py | py | 2,537 | python | en | code | 1 | github-code | 13 |
5108829198 | #-*-coding:utf-8-*-
import asyncio
import danmaku
import redis
import pyautogui
list_name = 'bilibili'
key_list = ('w', 's', 'a', 'd', 'j', 'k', 'u', 'i', 'z', 'x', 'c',
'v', 'b', 'n', 'm', 'f', 'o','p','g','h', 'l',
'q', 'e', 'r', 'y', '+', '-')
direction = ('w', 's', 'a', 'd')
def init_redis... | ShaoChenHeng/danmu_pokemon | danmu/main_sword.py | main_sword.py | py | 3,471 | python | en | code | 4 | github-code | 13 |
24375497002 | import numpy as np
import pandas as pd
dates = pd.date_range('20130101',periods=6)
df = pd.DataFrame(np.arange(24).reshape((6,4)),index=dates,columns=['A','B','C','D'])
df.iloc[2,2] = 111
df.loc['20130101','B'] = 222
# df[df.A>4] = 0 #整个A>4的整列都更改
# df.A[df.A>4] = 0 #仅对A列A>4的数字都更改为0
df.B[df.A>4] = 0 #仅对B列A>4的数字都更改为0
d... | BaymaxBai01/Machine_Learning | numpy & pandas & matplotlib/hm_20_pd_3.py | hm_20_pd_3.py | py | 559 | python | en | code | 0 | github-code | 13 |
15153951132 | #!/usr/bin/env python
"""
translate.py [-] <filename>
Translates a DNA sequence to a protein sequence
"""
import sys
from optparse import OptionParser
from mungo.fasta import FastaFile, pretty
from mungo import sequence
usage = "%prog [options] <fasta file>"
parser = OptionParser(usage=usage)
parser.add_option("-... | PapenfussLab/Mungo | bin/translate.py | translate.py | py | 914 | python | en | code | 1 | github-code | 13 |
73507449297 | from sklearn.manifold import TSNE
import matplotlib.pyplot as plt
import cv2
import numpy as np
def tsne(data, labels):
tsne = TSNE(n_components=2)
data_tsne = tsne.fit_transform(data)
unique_labels = np.unique(labels)
plt.figure(figsize=(8, 6))
for label in unique_labels:
indices = np.... | tiagojosemiranda/Giro | visualizations.py | visualizations.py | py | 1,183 | python | en | code | 0 | github-code | 13 |
26068868148 | def get_tree():
nums = int(input())
node = dict()
for i in range(nums):
node[str(i)] = input().split()
return nums, node
def get_root(nums, tree):
tmp = []
for i in tree.values():
tmp += i[1:]
for i in range(nums):
if not str(i) in tmp:
return tree[str(i)... | piglaker/PTA_ZJU_mooc | src06.py | src06.py | py | 1,630 | python | en | code | 0 | github-code | 13 |
72308568019 | import numpy as np
import cv2
class Stitcher:
# 拼接函数
def stitch(self, images, ratio=0.75, reprojThresh=4.0, showMatches=False):
# ratio是k对匹配算法里面的比例，一般设置0.75；reprojThresh是用来计算单应性矩阵的特征点个数
# 获取输入图片
(imageB, imageA) = images
# 检测A、B图片的SIFT关键特征点，并计算特征描述子
(kpsA, ... | huangxinyu1/opencv- | opencv学习/测试.py | 测试.py | py | 5,456 | python | zh | code | 0 | github-code | 13 |
37482016184 | N = int(input())
danzi = [] # 지도의 크기
total_danzi = 0 # 총 단지수
house_cnt = 0 # 단지내 집의 수
house_list = [] # 단지내 집의 수 리스트
for _ in range(N): # 단지 입력받기
val = list(map(int,input()))
danzi.append(val)
def dfs(x,y):
global house_cnt
if x <= -1 or x >= N or y <= -1 or y >= N:
return False
if danz... | Choi-Seong-Hyeok/Algorithm | DFS/단지번호붙이기(rt).py | 단지번호붙이기(rt).py | py | 891 | python | ko | code | 0 | github-code | 13 |
20418498932 | from math import *
print("(0 -single filers,1-married filing jointly,\n 2-married filing separately,3 -head ofhousehold)")
status=int(input("Enter the filing status: "))
tax=0
if (status == 0):
taxableIncome = int(input("Enter the taxable income: "))
a=8350
b=33950
c=82250
d=171550
e=3... | Przemek-Gosik/Zadania_Python | zadania python/Zad1.py | Zad1.py | py | 1,517 | python | en | code | 0 | github-code | 13 |
73539334738 | import numpy as np
from ml.stats import Stats
from ml.data import split_xy
def classify(theta, x):
return 1 if np.dot(theta, x) >= 0 else -1
def train(data, iterations=1000):
x, y = split_xy(data)
n, d = x.shape
theta = np.zeros(d)
for it in range(iterations):
for i in range(n):
... | anton-bannykh/ml-2013 | david.meynster/ml/perceptron.py | perceptron.py | py | 786 | python | en | code | 4 | github-code | 13 |
33076705502 | from turtle import Screen
from paddle import Paddle
from ball import Ball
from scoreboard import ScoreBoard
import time
screen = Screen()
screen.setup(height=int(600), width=int(800))
screen.bgcolor("black")
screen.title("Pong")
screen.tracer(0)
r_paddle = Paddle((350, 0))
l_paddle = Paddle((-350, 0))
b... | MClaireaux/Pong | main.py | main.py | py | 1,270 | python | en | code | 0 | github-code | 13 |
8574143885 | from ImageData import train_test_split,load_image
import matplotlib.pyplot as plt
images, labels, image_names, category =load_image(100)
data = train_test_split(image_size=128, test_size=0.3)
print("images in test set",len(data.train.images))
print('displaying a loaded image ')
plt.imshow(images[123])
plt.show()
| shibinmak/CNN-TF-FLOYDHUB | floydhub execution/checks.py | checks.py | py | 320 | python | en | code | 0 | github-code | 13 |
21993106572 | import pymongo
def get_collection_bicycles():
import os
# Declaramos una variable con el tiempo de espera máximo para la respuesta del servidor
mongo_timeout = 5000
# Variable de entorno que contiene un string con la URI de conexión al cluster
mongo_uri = os.environ['MONGO_URI']
# Esta variabl... | isaacvt01/isaacvt01.github.io | src/db/connection/get_collection_bicycles.py | get_collection_bicycles.py | py | 1,125 | python | es | code | 1 | github-code | 13 |
17834694846 | # -*- coding: utf-8 -*-
"""
@author: zhaox
"""
import matplotlib
matplotlib.use('Qt5Agg')
from matplotlib import pyplot as plt
import matplotlib.animation as animation
import FE_model
import numpy as np
import FE_analysis
#Build the FE model
mesh = FE_model.mesh()
properties = FE_model.properties(mesh)
BC = FE_model.... | e8543420/PS_ML | anima_FRF.py | anima_FRF.py | py | 928 | python | en | code | 0 | github-code | 13 |
73908821457 | #Import augmentation libraries
import albumentations as A
import cv2
import numpy as np
from pathlib import Path
#Import libraries for data visualization
import matplotlib.pyplot as plt
import json
#Define a function to read bounding boxes
def get_bbox(data):
#Create a list to store the bounding boxes
bboxes ... | dataschoolai/augmentation_objectdetection | coco_augmentation.py | coco_augmentation.py | py | 5,566 | python | en | code | 0 | github-code | 13 |
74060072658 | import json
import os
from setuptools.command.install import install
class InstallEntry(install):
def run(self):
default_site = 'codeforces'
cache_dir = os.path.join(os.path.expanduser('~'), '.cache', 'ACedIt')
from acedit.main import supported_sites
for site in supported_sites... | coderick14/ACedIt | acedit/install_entry.py | install_entry.py | py | 755 | python | en | code | 77 | github-code | 13 |
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