seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
20422548222 | import argparse
import collections
import getpass
import hashlib
import json
import os
import pickle
import requests
import time
import uuid
import urllib.parse
from datetime import datetime, timedelta
from email_validator import validate_email, EmailNotValidError
from pandas import DataFrame, to_datetime
from pytz im... | tedchou12/webull | webull/webull.py | webull.py | py | 63,799 | python | en | code | 576 | github-code | 36 |
37775727462 | # https://leetcode-cn.com/problems/reverse-string/
# 编写一个函数,其作用是将输入的字符串反转过来。输入字符串以字符数组 char[] 的形式给出。
#
# 不要给另外的数组分配额外的空间,你必须原地修改输入数组、使用 O(1) 的额外空间解决这一问题。
#
# 你可以假设数组中的所有字符都是 ASCII 码表中的可打印字符。
#
# 示例 1:
#
# 输入:["h","e","l","l","o"]
# 输出:["o","l","l","e","h"]
# 示例 2:
#
# 输入:["H","a","n","n","a","h"]
# 输出:["h","a","n","n",... | cookie-rabbit/LeetCode_practice | 专题/入门/字符串/344 反转字符串/1.py | 1.py | py | 1,403 | python | en | code | 1 | github-code | 36 |
19214969558 | from twitter_sentiment import avg_sentiment, get_tweets
from time import sleep
import pickle
import re
import numpy as np
# open the mappings
mappingFile = open('mappings', 'rb')
mappings:dict = pickle.load(mappingFile)
mappingFile.close()
def find_avg_sentiment(row):
"""
Find average sentiment of an item i... | ArjunAtlast/main-project | FINAL/helpers.py | helpers.py | py | 1,411 | python | en | code | 0 | github-code | 36 |
4500680225 | import abc
import os
import xml.etree.ElementTree as ET
from abc import ABC
from enum import Enum
from typing import List
from xbrl import XbrlParseException, LinkbaseNotFoundException
from xbrl.cache import HttpCache
from xbrl.helper.uri_helper import resolve_uri
LINK_NS: str = "{http://www.xbrl.org/2003/linkbase}"
... | manusimidt/py-xbrl | xbrl/linkbase.py | linkbase.py | py | 27,220 | python | en | code | 78 | github-code | 36 |
174132737 | from datetime import datetime, timezone, timedelta
from django.db.models import Q, Sum
from django.core.management.base import BaseCommand
from django.contrib.auth.models import User
from django.conf import settings
from django.template.loader import render_to_string
from elasticsearch.helpers import bulk
from api.inde... | batpad/go-api | api/management/commands/index_and_notify.py | index_and_notify.py | py | 31,984 | python | en | code | 0 | github-code | 36 |
37738312088 | # -*- coding: utf-8 -*-
from collections import defaultdict
import struct
from sqlalchemy.sql.expression import text
from ambry.orm.dataset import Dataset
from ambry.library.search_backends.base import BaseDatasetIndex, BasePartitionIndex,\
BaseIdentifierIndex, BaseSearchBackend, IdentifierSearchResult,\
Da... | CivicSpleen/ambry | ambry/library/search_backends/sqlite_backend.py | sqlite_backend.py | py | 20,150 | python | en | code | 5 | github-code | 36 |
42822681247 | from math import dist, inf
from typing import Optional
from random import random, choice
from aasd.vehicle import Vehicle, VehicleType
class Environment:
def __init__(self, width: int = 1280, height: int = 720, object_size: int = 10, chance_to_crash: float = 0.001):
self.width = width
self.height... | Pruxon/AASD | aasd/environment.py | environment.py | py | 2,733 | python | en | code | 0 | github-code | 36 |
36173205593 | import random
import json
import znc
class slapanswer(znc.Module):
description = 'Answer slaps'
module_types = [znc.CModInfo.NetworkModule]
def OnLoad(self, args, message):
self.default_answers = [
'"Be kind whenever possible. It is always possible." - Dalai Lama',
'"Where... | Thor77/SlapAnswer | slapanswer.py | slapanswer.py | py | 3,958 | python | en | code | 4 | github-code | 36 |
32480112663 | import sklearn
import os
import numpy as np
import matplotlib.pyplot as plt
import timeit
current_dir = os.getcwd()
from tensorflow.keras.datasets import mnist
(X_train, Y_train), (X_test, Y_test) = mnist.load_data(path=current_dir + '/mnist.npz')
# FLATTING TRAIN DATA
X_train = X_train.reshape(60000, 78... | solmvz/MNIST-LogisticRegression | HW2_softmax.py | HW2_softmax.py | py | 2,198 | python | en | code | 4 | github-code | 36 |
73694485864 | import requests
from bs4 import BeautifulSoup
from bs4.element import ResultSet
import json
from telprefix.path import JSON_DATA_PATH
def getHTMLText(result: ResultSet | None) -> str:
if result is not None:
result = result.text.strip()
return result
# URL Artikel
# Sumber: https://www.pinhome.id
URL ... | manoedinata/telprefix | telprefix/scrap.py | scrap.py | py | 2,569 | python | en | code | 0 | github-code | 36 |
32673542433 | import os
import urllib.request
WEIGHTS_URL = 'https://d17h27t6h515a5.cloudfront.net/topher/2016/October/580d880c_bvlc-alexnet/bvlc-alexnet.npy'
TRAINING_URL = 'https://d17h27t6h515a5.cloudfront.net/topher/2016/October/580a829f_train/train.p'
def download(url, filename):
print('Downloading {}...'.format(filename)... | marcomarasca/SDCND-Feature-Extraction | get_data.py | get_data.py | py | 777 | python | en | code | 0 | github-code | 36 |
6240147202 | #
# SAKARYA ÜNİVERSİTESİ BİLGİSAYAR VE BİLİŞİM BİLİMLERİ FAKÜLTESİ
# BİLGİSAYAR MÜHENDİSLİĞİ BÖLÜMÜ
# BİLGİSAYAR MÜHENDİSLİĞİ TASARIMI - 2. ÖĞRETİM P GRUBU
# EDA NUR KARAMUK - G181210061 & ELİF RUMEYSA AYDIN - G181210031
#
#
from PyQt5 import QtCore, QtGui, Q... | EdaNurKaramuk/PlakaTanimaSistemi | CarPlateRecognitionSystem.py | CarPlateRecognitionSystem.py | py | 9,785 | python | en | code | 7 | github-code | 36 |
10070249997 | from django.shortcuts import render
from.models import friends
# Create your views here.
def showindex(request):
id=request.GET.get("update_id")
if id==None:
res=friends.objects.all()
return render(request,"index.html",{"res":res})
else:
id1=friends.objects.filter(entry=id).update()... | prasadnaidu1/django | sisco1/app1/views.py | views.py | py | 993 | python | en | code | 0 | github-code | 36 |
6097122691 | class Solution:
def longestOnes(self, nums: List[int], k: int) -> int:
start,end,maxOnes,noZeros=0,0,0,0
for end in range(len(nums)):
if nums[end]==0:
noZeros+=1
while noZeros >k:
if nums[start]==0:
noZeros-=1
... | abeni505/Comp-programming | Max-Consecutive-Ones-III.py | Max-Consecutive-Ones-III.py | py | 412 | python | en | code | 2 | github-code | 36 |
12829799852 | import pygame as pg
WIDTH = 700
HEIGHT = 500
WHITE = (255, 255, 255)
BLACK = (0, 0, 0)
RED = (255, 0, 0)
GREEN = (0, 255,0)
BLUE = (0, 0, 255)
up_key = False
down_key = False
left_key = False
right_key = False
CAR_WIDTH = 30
CAR_HEIGHT = 30
car_x = WIDTH / 2
car_y = HEIGHT / 2
car_x_vel = 0
car_y_vel = 0
max_vel... | oscarsangwin/pygame-platformer | car01.py | car01.py | py | 2,614 | python | en | code | 0 | github-code | 36 |
34360597607 | import audio_edit_utils
import vid_utils
# "C:\Program Files\VideoLAN\VLC\vlc.exe" --start-time=35 "C:\Users\Brandon\AppData\Roaming\I2P\i2psnark\Rick.and.Morty.S04E03.720p.WEBRip.x264-TBS[rarbg]\rick.and.morty.s04e03.720p.webrip.x264-tbs.mkv"
# "C:\Program Files\VideoLAN\VLC\vlc.exe" --start-time=150 "C:\\Users\\Bra... | Brandon-Valley/my_movie_tools | find_first_speach.py | find_first_speach.py | py | 4,625 | python | en | code | 0 | github-code | 36 |
3496632276 | # importing pycairo
import cairo
# creating a SVG surface
# here geek95 is file name & 700, 700 is dimension
with cairo.SVGSurface("geek95.svg", 700, 700) as surface:
# creating a cairo context object for SVG surface
# using Context method
context = cairo.Context(surface)
# move the context to x,y position
... | Malgetany/ch2-part2 | main.py | main.py | py | 3,947 | python | en | code | 0 | github-code | 36 |
42629364234 | #!/usr/bin/env python
# coding=utf-8
import torch
import torchvision.models as models
#resnet169 = models.densenet169(pretrained=True).cuda()
inception_v3 = models.inception_v3(pretrained=True).cuda()
dummy_input = torch.randn(1, 3, 224, 224, device='cuda')
input_names = ['data']
output_names = ['outputs']
torch.onnx... | YixinSong-e/onnx-tvm | torchmodel/torch_model.py | torch_model.py | py | 528 | python | en | code | 0 | github-code | 36 |
32402600311 | import json
from falcon.status_codes import HTTP_404, HTTP_400
from marshmallow import ValidationError
from utils.HTTPError import HTTPError
class Serializer:
"""
This middleware gives us a possibility to validate data from request body.
It also allows to set a separate schema (validator) for every HTTP ... | NomanGul/kanda-fullstack-test | server/middlewares/serializer.py | serializer.py | py | 1,084 | python | en | code | 3 | github-code | 36 |
32065556859 | import fileIO
import view
def menu(data):
while True:
answer = view.show_menu()
if answer == 1:
view.show_data(data)
elif answer == 2:
# fileIO.add_data(data)
str_data = input('Enter your data delimited by tab> ')
row = str_data.split('\t')
... | DanisYuma/Introduction-to-Python | Introdution/Homeworks/HW8/UI.py | UI.py | py | 718 | python | en | code | 0 | github-code | 36 |
506670450 | """
Merge, combine and mosaic
"""
def rsts_to_mosaic(inRasterS, o, api="grass", fformat='.tif', method=None):
"""
Create Mosaic of Raster
"""
if api == 'pygrass':
"""
The GRASS program r.patch allows the user to build a new raster map the size
and resolution of the current regi... | jasp382/glass | glass/rst/mos.py | mos.py | py | 6,840 | python | en | code | 2 | github-code | 36 |
11424826236 | import logging
from edera.exceptions import ExcusableError
from edera.exceptions import ExcusableWorkflowExecutionError
from edera.exceptions import WorkflowExecutionError
from edera.queue import Queue
from edera.routine import deferrable
from edera.routine import routine
from edera.workflow.executor import WorkflowEx... | thoughteer/edera | edera/workflow/executors/basic.py | basic.py | py | 2,027 | python | en | code | 3 | github-code | 36 |
17523274197 | #!/usr/bin/env python
"""
author: Jun Ding
date: 2020-07-06
function: plot the expression of input gene
copy and modification of this code is allowed for academic purposes.
Please don NOT remove this author statement under any condition.
"""
import sys,os,pdb,argparse
import anndata
import scanpy as sc
def plo... | phoenixding/scdiff2 | utils/plotGene.py | plotGene.py | py | 1,080 | python | en | code | 5 | github-code | 36 |
37724851331 | # -*- coding: utf-8 -*-
import numpy as np
import math
import matplotlib.pyplot as plt
def option_pricing(s0, k, t, sigma, r, cp, american=False, n = 100):
#cijena call opcije u T CT = max(ST-K, 0)
#cijena put opcije u T PT = max(K-ST, 0)
#s0 - pocetna cijena
#k - strajk cijena
#t - datum dos... | aldinabu/ou | option_pricing_dp.py | option_pricing_dp.py | py | 2,225 | python | en | code | 0 | github-code | 36 |
37569450031 | f = open('minfil.txt')
def write_to_file(data):
f = open('minfil.txt','w') #w spesifiserer at filen skal skrives til
f.write(data)
f.close()
def read_from_file(filename):
f = open(filename,'r')
innhold = f.read()
print(innhold)
f.close()
def main():
todo =''
while to... | jorul/ITGK | ITGK øvinger/Øving 9 uke 45/4 Generelt om filbehandling/a filbehandling.py | a filbehandling.py | py | 668 | python | en | code | 0 | github-code | 36 |
70172359785 | def list_sort(num_list):
if len(num_list) <= 1:
return num_list
element = num_list[0]
left = list(filter(lambda x : x < element, num_list))
center = [i for i in num_list if i == element]
right = list(filter(lambda x : x > element, num_list))
return list_sort(left) + center + list_sort(right)
def index_... | IgorRush/practice_17.9 | sorting.py | sorting.py | py | 1,891 | python | ru | code | 0 | github-code | 36 |
15972612873 | #!/usr/bin/env python3
__doc__ = """Process a dump from the 'Charge Activity Report by Employee
- Project Detail Information' report from Webwise. We only need the
table view because we simply want to extract the fields. For this to
work, we _must_ have the table headers. Those are used as the keys in
the YAML forma... | kprussing/resume | projects-import.py | projects-import.py | py | 6,217 | python | en | code | 0 | github-code | 36 |
74816953384 | from django.urls import include, path
from rest_framework import routers
from . import views
# def router robi za nas widoki generowane przez nasz viewset; tworzy do nich ścieżki
router = routers.DefaultRouter()
router.register('categories', views.CategoryViewSet)
router.register('rooms', views.RoomViewSet)
router.reg... | BParaszczak/plant_manager | plants/urls.py | urls.py | py | 413 | python | en | code | 0 | github-code | 36 |
17602594229 | from functools import wraps
import json
import os
import requests
import boto3
from sanic import Sanic, response
from sanic.exceptions import NotFound
from sanic.log import LOGGING_CONFIG_DEFAULTS
from sanic_cors import CORS
from sanic_limiter import Limiter, get_remote_address, RateLimitExceeded
from botocore.excepti... | MichaelHDesigns/erebor | erebor/erebor.py | erebor.py | py | 4,559 | python | en | code | 0 | github-code | 36 |
71117028264 | import pprint
import numpy as np
import matplotlib.pyplot as plt
import math
#重量
m = 5
#ばね定数
k = 10
#ダンピング係数
c = 1
#速度
vn_list = []
#位置
xn_list = []
#制御入力
un = 0
#時間
t = 10
#刻み幅
h = 0.001
#要素数
n = int((t/h) + 1)
#システムノイズのばらつき(分散)
stdv_x = 15
Sigma_x = stdv_x **2
T_s = np.linspace(0,t,n)... | itolab2022/Altitude_Control | Kalman_spring/spring.py | spring.py | py | 881 | python | ja | code | 0 | github-code | 36 |
37217205291 | #!/usr/bin/env python
# coding: utf-8
# In[2]:
#1. Write a Python Program to Find the Factorial of a Number?
def fact(n):
if n == 1 or n == 0:
return 1
else:
return n * fact(n-1)
fact(5)
# In[7]:
#2. Write a Python Program to Display the multiplication Table?
number = int(input (... | 16anshul/basic-programmin-in-python | basic 4.py | basic 4.py | py | 2,344 | python | en | code | 0 | github-code | 36 |
35015230469 | import importlib
from sklearn.cluster import SpectralClustering
import clusters_optimizer_base as co
importlib.reload(co)
class SpectralClusterOptimizer(co.ClustersOptimizerBase):
# 100 initializations
def optimize(self, data):
obj = SpectralClustering(
n_clusters=self.num_cl... | morganstanley/MSML | papers/Clustering_via_Dual_Divergence_Maximization/spectral_clusters_optimizer.py | spectral_clusters_optimizer.py | py | 494 | python | en | code | 12 | github-code | 36 |
10501857645 | import os
from aiohttp import Fingerprint
import cv2
from matplotlib import pyplot as plt
from Matcher import *
from random import *
# Authentication class will serve as an authenticator for one person
class Authentication:
def __init__(self, probe_img, data_path, folder, threshold=0.6):
self.probe_img = ... | Dorukozar/Fingerprint-Matcher-and-Evaluation | Authentication.py | Authentication.py | py | 3,865 | python | en | code | 0 | github-code | 36 |
24730881807 | from sklearn import tree
import numpy as np
X = np.array([[-1,-1],[-2,-1],[1,1],[2,1]])
y = np.array([1,1,2,2])
#
# X = [[0, 0], [1, 1]]
# Y = [0, 1]
clf = tree.DecisionTreeClassifier()
# clf = clf.fit(X, y)
clf = clf.fit(X, y)
print(clf)
print(clf.predict([[-0.8,-1]]))
print(clf.predict([[5,6]])) | 11city/tianchi | algorithm/DecisionTree/DecisionTreeTest.py | DecisionTreeTest.py | py | 304 | python | en | code | 0 | github-code | 36 |
12366342382 | """
Created on 28 Feb 2013
@author: jmht
"""
import os
import sys
from ample.util import ample_util
def mrbump_cmd(name, mtz, mr_sequence, keyword_file):
"""Return the command to run mrbump"""
if sys.platform.startswith("win"):
mrbump = os.path.join(os.environ["CCP4"], "bin", "mrbump" + ample_util.S... | rigdenlab/ample | ample/util/mrbump_cmd.py | mrbump_cmd.py | py | 4,898 | python | en | code | 6 | github-code | 36 |
35132638275 | import numpy as np
import gin.tf
@gin.configurable(whitelist=["use_entities_order"])
class ExistingEdgesFilter(object):
def __init__(self, entities_count, graph_edges, use_entities_order=True):
self.entities_count = entities_count
self.set_of_graph_edges = set(graph_edges)
self.use_entiti... | Dawidsoni/relation-embeddings | src/optimization/existing_edges_filter.py | existing_edges_filter.py | py | 1,625 | python | en | code | 0 | github-code | 36 |
32282456781 | import socket
#创建一个socket对象
skfd=socket.socket(socket.AF_INET,socket.SOCK_STREAM)
#绑定IP和端口号
skfd.bind(('127.0.0.1',7777))
#将套接字变为监听套接字
skfd.listen(10)
L=[]
i=0
while True:
print('waiting for connect...')
#等待客户端请求
sk1,adr1=skfd.accept()
print('i get address:',adr1)
while True:
#接收客户端的消息
... | joiller/exercises | web1.py | web1.py | py | 850 | python | zh | code | 0 | github-code | 36 |
6562172415 | from django.shortcuts import render,redirect
from .models import *
from django.contrib.auth import login, authenticate, logout
from django.contrib import messages
from django.db.models import Q
# Create your views here.
def login_page(request):
return render(request, "index.html")
def init_login(request):
us... | Ennyola/Search-System | searchSystem/searchApp/views.py | views.py | py | 2,161 | python | en | code | 0 | github-code | 36 |
23682916986 | import re
import pandas as pd
from bs4 import BeautifulSoup
df = pd.DataFrame.from_csv("realtor.csv", sep="|", encoding="ISO-8859-1")
print(df.head)
print ("done")
dftemp = df
for i, (idx, ser) in enumerate(dftemp.iterrows()):
html = ser["metaHTML"]
bs = BeautifulSoup(html)
for li in bs.fi... | jhmuller/real_estate | realtor2.py | realtor2.py | py | 1,198 | python | en | code | 0 | github-code | 36 |
74611006504 | # coding: utf-8
from __future__ import print_function
import json
from math import log10
import numpy as np
def fit(x, y):
x_mean = np.mean(x)
y_mean = np.mean(y)
cov = np.sum((x - x_mean) * (y - y_mean))
var = np.sum((x - x_mean)**2)
a = cov / var
b = y_mean - a * x_mean
return lambda x1... | andreas-schmidt/tapetool | json2ds.py | json2ds.py | py | 1,133 | python | en | code | 0 | github-code | 36 |
43160456317 | import numpy as np
import matplotlib.pyplot as plt
def sigmoid(x):
return 1 / (1 + np.exp(-x))
# 01. 기본 sigmoid
x = np.arange(-5., 5., 0.1)
y = sigmoid(x)
plt.figure(0)
plt.plot(x, y, 'g')
plt.plot([0,0],[1.,0.], ':')
plt.title('sigmoid func')
# plt.show()
# 02.sigmoid (ax)
# a가 클수록 step function에 가까워진다.
y1 = s... | minssoj/Learning_Pytorch | day2/01.sigmoidFunctionEX.py | 01.sigmoidFunctionEX.py | py | 741 | python | en | code | 0 | github-code | 36 |
32442603242 | import sqlite3
conn = sqlite3.connect('bancodedados.db')
cursor = conn.cursor()
#variaveis gerais
usuario_logado = ""
#cria tabelas
def modularTable():#Victor
clear()
tabela = int(input('\nBem vindo ao sistema Meditech\nPrimeiramente adicione os modulos com que deseja trabalhar\n\n1 - funcionarios\n2 - Veicul... | victorhnogueira/esof_sistema_gerencimento_hospitalar | setup.py | setup.py | py | 21,575 | python | pt | code | 1 | github-code | 36 |
26361613449 | from bme590_assignment02.ECG_Class import ECG_Class
from flask import Flask, jsonify, request
import numpy as np
app = Flask(__name__)
count_requests = 0 # Global variable
@app.route('/heart_rate/summary', methods=['POST'])
def get_data_for_summary():
"""
Summary endpoint: Accepts user data and returns ins... | juliaross20/cloud_ecg | api_codes.py | api_codes.py | py | 6,928 | python | en | code | 0 | github-code | 36 |
4253568754 | def mergeLinkedLists(headOne, headTwo):
head, tail = None, None
while headOne or headTwo:
curr = None
if headOne and not headTwo:
tail.next = headOne
break
if not headOne and headTwo:
tail.next = headTwo
break
if headOne.value < he... | blhwong/algos_py | algo_exp/merge_linked_list/main.py | main.py | py | 630 | python | en | code | 0 | github-code | 36 |
37635045680 | # There are n cars on an infinitely long road. The cars are numbered from 0 to n - 1 from left to right and each car is present at a unique point.
# You are given a 0-indexed string directions of length n. directions[i] can be either 'L', 'R', or 'S' denoting whether the ith car is moving towards the left, towards the... | sunnyyeti/Leetcode-solutions | 2211 Cout Collisions on a Road.py | 2211 Cout Collisions on a Road.py | py | 2,787 | python | en | code | 0 | github-code | 36 |
7615554968 | # -*- coding: utf-8 -*-
import codecs
import sys
import re
import h5py
import numpy as np
import tflearn
from tflearn.data_utils import to_categorical, pad_sequences
from tflearn.layers.core import input_data, dropout, fully_connected
from tflearn.layers.embedding_ops import embedding
from tflearn.layers.recurrent ... | kimwansu/autospacing_tf | bi_lstm.py | bi_lstm.py | py | 9,163 | python | en | code | 0 | github-code | 36 |
9503023051 | import os
import os.path as osp
import time
import yaml
import warnings
import torch
import torch.optim as optim
from utils import get_world_size, get_rank
from builder import build_train_dataloader, build_val_dataloader,build_model
from utils import Logger,CosineDecayLR
from torch import distributed as dist
from to... | CxyZyr/face-recognition | runner.py | runner.py | py | 13,847 | python | en | code | 0 | github-code | 36 |
5791291209 | # intervalo de integracion
a = 0
b = 3
# Numero de rectangulos entre a y b
n = 5
# Tamano de rectangulo
d = (b-a)/ (n *1.0)
# Inicializamos la variable
I = 0
#DEFINIR UNA FUNCION
def f(x):
return x**2 - 2*x + 4
#range (0,n) = range(n)
# Recordatorio: La funcion range
# range(3) = [0,1,2]
# range(1,6,2) = [1,3,5]
... | IvonFis/Python-UAM | Ejercicios/Integral.py | Integral.py | py | 734 | python | es | code | 2 | github-code | 36 |
13395835031 | """
@author: gjorando
"""
import os
import importlib
from pypandoc import convert_file
from setuptools import setup, find_packages
def read(*tree):
"""
Read a file from the setup.py location.
"""
full_path = os.path.join(os.path.dirname(__file__), *tree)
with open(full_path, encoding='utf-8') as... | gjorando/style-transfer | setup.py | setup.py | py | 2,277 | python | en | code | 2 | github-code | 36 |
71696562344 | # @keras-rl
'''
Script for custom or modified noise processes
'''
from __future__ import division
import numpy as np
#makes an instance of a noise process and returns it
#defined by configuration nc
#size is the number of parameters the noise is applied to
#so far just one-dimensional vector (only action noi... | Frawak/squig-rl | source/noiseProcesses.py | noiseProcesses.py | py | 6,718 | python | en | code | 1 | github-code | 36 |
20715650622 |
def solve(program):
accumulator = 0
pointer = 0
executed = set()
while pointer not in executed and pointer < len(program):
instruction, argument = program[pointer]
executed.add(pointer)
pointer += 1
if instruction == 'acc':
accumulator += argument
... | jonassjoh/AdventOfCode | 2020/8/day8.py | day8.py | py | 1,252 | python | en | code | 0 | github-code | 36 |
16009855981 | #!/usr/bin/python3
import numpy as np
from matplotlib import pyplot as plt
lx = []
ly = []
with open("HailStoneNum.txt", "r") as f:
for line in f:
ls = line.split(",")
lx.append(int(ls[0]))
ly.append(int(ls[1]))
x = np.array(lx)
y = np.array(ly)
plt.plot(x,y)
plt.savefig("HailStone.jpg"... | Ukuer/rasp-pi | DSA/HailStone/HailStoneCount.py | HailStoneCount.py | py | 322 | python | en | code | 0 | github-code | 36 |
16198615974 | # Climate App
# Now that you have completed your initial analysis, design a Flask api based on the queries that you have just developed.
# - Use FLASK to create your routes.
#################################################
# Import Flask & jsonify & the kitchen sink...
################################################... | JREwan/python-challenge | Homework11_SurfsUp/app.py | app.py | py | 5,386 | python | en | code | 0 | github-code | 36 |
13289609625 | # -*- coding: utf-8 -*-
"""
Created on Sat Jan 2 00:48:47 2021
@author: baris
"""
import pandas as pd
import math
import numpy as np
import xlsxwriter
xlxs_file = pd.read_excel("example.xlsx")
# All columns have separeted into a list on their own.
parsed_store = xlxs_file["store"].tolist()
parsed_x = xlxs_file[... | barissoyer/FunProjects | X-Yl_Location based/xy_locations.py | xy_locations.py | py | 1,579 | python | en | code | 0 | github-code | 36 |
20496563572 | from typing import List
from instructor import patch
from pydantic import BaseModel, Field
import openai
patch()
class Property(BaseModel):
key: str
value: str
resolved_absolute_value: str
class Entity(BaseModel):
id: int = Field(
...,
description="Unique identifier for the entity,... | realsrisri/jxnl-instructor | examples/reference-citation/run.py | run.py | py | 5,705 | python | en | code | null | github-code | 36 |
13460588720 | class Dice():
def __init__(self, x, y):
self.side = int(random(1, 7))
self.x = x
self.y = y
self.status = 'stopped' # rolling
self.last_rolled = millis()
self.keep = False
def roll(self):
if self.status != 'rolling' and not self.keep:
... | kairess/yacht-dice | yacht/yacht.pyde | yacht.pyde | pyde | 11,675 | python | en | code | 4 | github-code | 36 |
32115859766 | from __future__ import annotations
from typing import Iterable, Iterator, List, Literal, Optional, Type
import frictionless as fl
import marshmallow as mm
from dimcat import DimcatConfig, get_class
from dimcat.data.base import Data
from dimcat.data.packages.base import Package, PackageSpecs
from dimcat.data.resources... | DCMLab/dimcat | src/dimcat/data/catalogs/base.py | base.py | py | 11,590 | python | en | code | 8 | github-code | 36 |
21536939801 | import cv2
import numpy as np
import os
import random
import torch
from tqdm import tqdm
def draw(prediction,dependency):
img=np.full((256,256,3),220,dtype=np.uint8)
for i,c in enumerate(prediction):
if c==0 or c>9:
if i not in dependency:
cv2.rectangle(img,(10+i%9*26, 10+i//... | RalphHan/CASR | empirical/sudoku2.py | sudoku2.py | py | 2,295 | python | en | code | 1 | github-code | 36 |
35396368561 | #!/usr/bin/env python3
# coding=utf-8
import xml.dom.minidom as xmldom
import os
class Appconfig(object):
AppCode=""
#AppType=""
Icon=""
Version=""
PathType=""
Path=""
Arguments=""
AppStartupType=""
def __init__(self,appCode,icon,version,pathType,path,arguments,appStartupTy... | LeeZhang1979/UniTools | conf/AppConfigure.py | AppConfigure.py | py | 1,538 | python | en | code | 0 | github-code | 36 |
8982223007 | # Packages
import numpy as np
import os
# Path to txt files
path_to_d1 = ""
########
# Data #
########
# Preallocation
data = {}
# Loading .txt files
for i in range(1,1001):
with open(path_to_d1 + 'Domain01/{0}.txt'.format(i)) as f:
lines = f.readlines()
# Retrieve domain, class and user ids
dom = line... | gheroufosse/Dynamic_Time_Warping | dtw.py | dtw.py | py | 9,861 | python | en | code | 0 | github-code | 36 |
37634308620 | # Given two binary search trees root1 and root2.
# Return a list containing all the integers from both trees sorted in ascending order.
# Example 1:
# Input: root1 = [2,1,4], root2 = [1,0,3]
# Output: [0,1,1,2,3,4]
# Example 2:
# Input: root1 = [0,-10,10], root2 = [5,1,7,0,2]
# Output: [-10,0,0,1,2,5,7,10]
# Ex... | sunnyyeti/Leetcode-solutions | 1305 All Elements in Two Binary Search Trees.py | 1305 All Elements in Two Binary Search Trees.py | py | 1,590 | python | en | code | 0 | github-code | 36 |
42154272648 | # 예산
case = int(input())
lands = list(map(int, input().split()))
lands.sort()
max_t = int(input())
left = 0
right = lands[-1]
ret = 0
while left <= right:
mid = (left+right)//2
tmp = sum([min(i, mid) for i in lands])
if tmp <= max_t:
left = mid+1
else:
right = mid-1
print(right)
| FeelingXD/algorithm | beakjoon/2512.py | 2512.py | py | 318 | python | en | code | 2 | github-code | 36 |
27868546226 | """Module for I/O related data parsing"""
__author__ = "Copyright (c) 2016, Mac Xu <shinyxxn@hotmail.com>"
__copyright__ = "Licensed under GPLv2 or later."
import datetime
import pprint
import re
from app.modules.lepd.LepDClient import LepDClient
class IOProfiler:
def __init__(self, server, config='release'... | linuxep/lepv | app/modules/profilers/io/IOProfiler.py | IOProfiler.py | py | 5,872 | python | en | code | 20 | github-code | 36 |
41714169812 | #hyperparameters
feature_dim = 300
regularizer = 0.01
activation='relu'
optimizer = 'adam'
padding = 'valid'
dropout_rate = 0.01
nb_epochs = 10
batch_size = 256
stop_epochs = 5
nb_neurons_dense = 100
#we use this only for lstm
nb_neurons_lstm = 150
# only used for cnn
nb_filter = 100
filter1_length = 3
filter2_length... | marinaangelovska/complementary_products_suggestions | complementary_products_suggestions/config.py | config.py | py | 359 | python | en | code | 12 | github-code | 36 |
835315908 | # assignment 1
# Name-Peyush Jindal
# SID=21103092
# Question 1
number_1=input("Enter first number:")
number_2=input("Enter first number:")
number_3=input("Enter first number:")
number_1=int(number_1)
number_2=int(number_2)
number_3=int(number_3)
# average
average=(number_1 + number_2 + number_3)/3
... | Peyush3/Python-Assignments | asg1_source_code_CSE_21103092.py | asg1_source_code_CSE_21103092.py | py | 1,902 | python | en | code | 0 | github-code | 36 |
37396630977 | from regression_tests import *
class Test(Test):
settings = TestSettings(
input='hello.exe'
)
def test_main_addresses(self):
assert self.out_c.contains('Address range: 0x407740 - 0x40775e')
assert self.out_dsm.contains('function: main at 0x407740 -- 0x40775e')
| avast/retdec-regression-tests | bugs/same-fnc-end-addr-in-c-and-dsm/test.py | test.py | py | 299 | python | en | code | 11 | github-code | 36 |
43794443747 | # Pobierz od użytkownika 10 liczb, wyświetl tylko te, które są nieparzyste.
# Wprowadzanie n numerów na listę
lista = []
print("Wprowadż 10 numerów")
for number in range(0, 10):
new_number = int(input(f'{number+1} ->'))
lista.append(new_number)
print("podane liczby to: ", lista)
# Sprawdzenie czy numery są ... | TomekJJ/PythonCourse2022 | 04 Kolekcje/Homework/12 Listy - zad 2.py | 12 Listy - zad 2.py | py | 519 | python | pl | code | 0 | github-code | 36 |
6751661466 | # -*- coding: utf-8 -*-
from PyQt5.QtWidgets import QWidget, QTreeWidgetItem, QMenu
from PyQt5.QtCore import pyqtSlot, QPoint
from selfcheck.controllers.selfcheckcontroller import SelfCheckController
from selfcheck.modules.editselfcheckitemmodule import EditSelfCheckItemModule
from selfcheck.views.selfcheckitemlist i... | zxcvbnmz0x/gmpsystem | selfcheck/modules/selfcheckitemlistmodule.py | selfcheckitemlistmodule.py | py | 3,415 | python | en | code | 0 | github-code | 36 |
36830593270 | #!/usr/bin/python3
# 涉及对象的定义过程,不能交互式执行,需要放入.py代码文件中执行。
# 导入LCD数字,滑块,部件,Box布局,Q程序,网格布局
from PySide2.QtWidgets import QLCDNumber, QSlider, QWidget, QVBoxLayout, QApplication, QGridLayout
# 导入Qt库
from PySide2.QtCore import Qt
class MyLCDNumber(QWidget): # 创建LCD数字显示器类
def __init__(self, parent=None): ... | oca-john/Python3-xi | Pyside2/1.pyside2.4.widget.def.py | 1.pyside2.4.widget.def.py | py | 2,141 | python | zh | code | 0 | github-code | 36 |
24537790919 | from pathlib import Path
N, S = int(Path("day17.txt").read_text()), 50000000
l, pos, after2017, afterzero = [0], 0, 0, 0
for v in range(1, S+1):
pos = (pos + N) % v + 1
if v == 2017: after2017 = l[pos]
elif v > 2017:
if pos == 1:
afterzero = v
continue
l.insert(pos, v)
print(after2017, afterzero... | AlexBlandin/Advent-of-Code | 2017/day17.py | day17.py | py | 322 | python | en | code | 0 | github-code | 36 |
38793739034 | def DeBruijnKmer(kmers):
graph=dict()
for item in kmers:
temp=item[:-1]
if temp in graph:
graph[temp].append(item[1:])
else:
graph[temp]=[item[1:]]
return graph
def GenerateCycle(graph,start):
unexplored_edges=graph
route=[]
lastnode=start
now... | XueningHe/Rosalind_Genome_Sequencing | synthesis.py | synthesis.py | py | 3,075 | python | en | code | 0 | github-code | 36 |
23269856572 | # import os
import sys
import csv
from matplotlib.patches import Ellipse
import matplotlib.transforms as transforms
# import pandas as pd
# from pandas.plotting import lag_plot
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from PyQt5.QtGui import *
import random
import matplotlib.pyplot as plt
import numpy... | lukascao/GUI_vorlesung | GUI_example.py | GUI_example.py | py | 54,545 | python | en | code | 0 | github-code | 36 |
37307336429 |
def test_cobaya():
from cosmoprimo.fiducial import DESI
cosmo = DESI()
for engine in ['class', 'camb', 'isitgr']:
params = {'Omega_m': {'prior': {'min': 0.1, 'max': 1.},
'ref': {'dist': 'norm', 'loc': 0.3, 'scale': 0.01},
'latex': '\Omega_{m}'}... | cosmodesi/cosmoprimo | cosmoprimo/tests/test_bindings.py | test_bindings.py | py | 2,073 | python | en | code | 12 | github-code | 36 |
29238296763 | N, K = map(int, input().split(" "))
graph = [[] for i in range(N+1)]
degree = [0 for i in range(N+1)]
q = []
for _ in range(K):
A, B = map(int, input().split(" "))
graph[A].append(B)
degree[B] = degree[B] + 1
for i in range(1, N+1):
if degree[i] == 0:
q.append(i)
while q: # ... | SketchAlgorithm/19_Choi-JinWoo | 2252.py | 2252.py | py | 486 | python | en | code | 0 | github-code | 36 |
36445673009 | """remove subscriber
Revision ID: f71f10afe911
Revises: 514826a76b2b
Create Date: 2020-03-15 02:09:24.586462
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'f71f10afe911'
down_revision = '514826a76b2b'
branch_labels = None
depends_on = None
def upgrade():
... | mhelmetag/mammoth | alembic/versions/f71f10afe911_remove_subscriber.py | f71f10afe911_remove_subscriber.py | py | 1,071 | python | en | code | 1 | github-code | 36 |
72294810025 | import streamlit as st
import pandas as pd
import numpy as np
# Wedding budget planner for the region of Southern France
st.title("Wedding Budget Planner for the Region of Southern France")
# Filter to allow the user to narrow down their options
st.subheader("Filter")
number_of_guests = st.slider("Number of guests"... | karlotimmerman/budget_heroku | hello.py | hello.py | py | 1,545 | python | en | code | 0 | github-code | 36 |
4179808886 | '''
constants used throughout project
'''
import numpy as np
from astropy.cosmology import FlatLambdaCDM
RERUN_ANALYSIS = False
## set cosmology to Planck 2018 Paper I Table 6
cosmo = FlatLambdaCDM(H0=67.32, Om0=0.3158, Ob0=0.03324)
boss_h = 0.676 ## h that BOSS uses.
h = 0.6732 ## planck 2018 h
eta_star = cosmo.c... | kpardo/mg_bao | mg_bao/constants.py | constants.py | py | 593 | python | en | code | 1 | github-code | 36 |
14525591993 | from TDAs import grafo, ciudades
import csv
def LeerPJ(ruta):
grafo_ciudades = grafo.Grafo()
dicc = {}
with open(ruta) as archivo:
# Colocamos ciudades (vertices)
contador = int(archivo.readline())
for _ in range(contador):
nombre, x, y = archivo.readline().rstrip().spl... | juandelaHD/Planificador-de-Viaje---Qatar | lectura_archivos.py | lectura_archivos.py | py | 1,317 | python | es | code | 0 | github-code | 36 |
2723494159 | #!/usr/bin/python3
"""tracking the iss using
api.open-notify.org/astros.json | Alta3 Research"""
# notice we no longer need to import urllib.request or json
import requests
## Define URL
MAJORTOM = 'http://api.open-notify.org/astros.json'
def main():
"""runtime code"""
## Call the webservice
groundct... | chadkellum/mycode | iss/requests-ride_iss.py | requests-ride_iss.py | py | 1,295 | python | en | code | 0 | github-code | 36 |
32179513329 | import sys
from PyQt5 import QtWidgets
def Pencere():
app = QtWidgets.QApplication(sys.argv)
okay = QtWidgets.QPushButton("Tamam")
cancel = QtWidgets.QPushButton("İptal")
h_box = QtWidgets.QHBoxLayout()
h_box.addStretch()
h_box.addWidget(okay)
h_box.addWidget(cancel)
... | mustafamuratcoskun/Sifirdan-Ileri-Seviyeye-Python-Programlama | PyQt5 - Arayüz Geliştirme/Videolarda Kullanılan Kodlar/horizontal ve vertical layout.py | horizontal ve vertical layout.py | py | 643 | python | en | code | 1,816 | github-code | 36 |
7537206122 | from django.test import TestCase, tag
from djangoplicity.newsletters.models import NewsletterType, Newsletter
from webb.tests import utils
@tag('newsletters')
class TestNewsletters(TestCase):
fixtures = [
'test/common',
'test/media',
'test/announcements',
'test/releases',
... | esawebb/esawebb | webb/tests/newsletters.py | newsletters.py | py | 1,838 | python | en | code | 0 | github-code | 36 |
39069951023 | # https://leetcode.com/problems/sqrtx/
class Solution:
# Iterative Binary Search
# Time: O(logn), Space: O(1)
def mySqrt(self, x: int) -> int:
if x <= 1:
return x
left, right = 2, x
while left <= right:
mid = (left + right) // 2
if mid * mid == x:... | grenkoff/leetcode | solutions/0069. Sqrt(x)/Sqrt(x).py | Sqrt(x).py | py | 898 | python | en | code | 0 | github-code | 36 |
17885393929 | from django.shortcuts import render
from django.views import View
from django.http.response import JsonResponse
from django.template.loader import render_to_string
from .models import Topic
from .forms import TopicForm
class BbsView(View):
def get(self, request, *args, **kwargs):
topics =... | inatai/super_tsp | posting/views.py | views.py | py | 1,026 | python | en | code | 0 | github-code | 36 |
32473831452 | from config import bot, chat_id
from plugins.error import Error
import requests
from bs4 import BeautifulSoup
import time
from telebot import types
from plugins.error import in_chat
#________________________________________________________________________________________________________________
#Скриншот сайтов
#_____... | evilcatsystem/telegram-bot | plugins/screenshot.py | screenshot.py | py | 1,624 | python | en | code | 1 | github-code | 36 |
28068784452 | # 2021-05-20
# 출처 : https://programmers.co.kr/learn/courses/30/lessons/17683
# 방금 그곡
m = "ABCDEFG"
musicinfos = ["11:50,12:14,HELLO,CDEFGAB", "13:00,13:05,WORLD,ABCDEF"]
# m='CC#BCC#BCC#BCC#B'
# musicinfos=["03:00,03:30,FOO,CC#B", "04:00,04:08,BAR,CC#BCC#BCC#B"]
# m='ABC'
# musicinfos=["12:00,12:14,HELLO,C#DEFGAB"... | hwanginbeom/algorithm_study | 2.algorithm_test/21.05.16/21.05.20_방금그곡_kyounglin.py | 21.05.20_방금그곡_kyounglin.py | py | 1,838 | python | en | code | 3 | github-code | 36 |
1941672558 | #TGP 2018-01-12
#Snippet for adding images to cards
import sys
import os
import re
import math
import json
import subprocess as sub
import sublime
import sublime_plugin
class UmbertoAddImage(sublime_plugin.TextCommand):
def run(self, edit):
# Location of the current project.
... | tgparton/Umberto | add_image.py | add_image.py | py | 1,570 | python | en | code | 0 | github-code | 36 |
21671571550 | import os
import sys
import torch
import torch.nn as nn
import torch.nn.functional as F
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
import numpy as np
class Basset(nn.Module):
"""
This model is also known to do well in transcription factor binding.
This model is "sha... | wukevin/rnagps | rnagps/models/basset_family.py | basset_family.py | py | 6,034 | python | en | code | 8 | github-code | 36 |
41974155562 | #@ File (label = "Input directory", style = "directory") srcFile
#@ String (label = "File extension", value=".dv") ext
#@ Integer (label = "cell contour channel", value=2) contour
#@ Integer (label = "GFP channel", value = 3) countchannel
#@ Integer (label = "mCherry channel", value = 4) linechannel
#@ Integer (lab... | erickmartins/ImageJ_Macros | katy_foci/count_cells_foci.py | count_cells_foci.py | py | 16,326 | python | en | code | 0 | github-code | 36 |
17417433393 | from rest_framework.serializers import ModelSerializer
from tintoreria.empleados.models import Empleado
class EmpleadoSerializer(ModelSerializer):
def to_internal_value(self, data):
obj = super(EmpleadoSerializer, self).to_internal_value(data)
instance_id = data.get('id', None)
if instance... | marco2v0/Tintoreria | site/tintoreria/empleados/serializers.py | serializers.py | py | 587 | python | es | code | 0 | github-code | 36 |
28797419371 | import yfinance as yf
from matplotlib import pyplot as plt
def load_ticker(symbol):
ticker = yf.Ticker(symbol)
hist = ticker.history(start="2020-03-01", end="2020-12-02")
hist = hist.reset_index()
for i in ['Open', 'High', 'Close', 'Low']:
hist[i] = hist[i].astype('float64')
return his... | Eric-Wonbin-Sang/CS110Manager | 2020F_final_project_submissions/mcdonaldjillian/CSfinalproject.py | CSfinalproject.py | py | 1,422 | python | en | code | 0 | github-code | 36 |
2892146403 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
import phonenumber_field.modelfields
class Migration(migrations.Migration):
dependencies = [
('auth', '0006_require_contenttypes_0002'),
]
operations = [
... | abarto/learn_drf_with_images | learn_drf_with_images/user_profiles/migrations/0001_initial.py | 0001_initial.py | py | 1,052 | python | en | code | 21 | github-code | 36 |
34211305302 | from flask import Flask, send_from_directory
from flask_sqlalchemy import SQLAlchemy
from flask_cors import CORS
from .models import *
db = SQLAlchemy()
BASE_DIR = os.path.abspath(os.path.dirname(__file__))
SQLALCHEMY_DATABASE_URI = 'sqlite:///' + os.path.join(BASE_DIR, 'data.db')
def model_exists(model_class):
... | wickes1/fullstack-react-flask-overview-backend | app/__init__.py | __init__.py | py | 1,680 | python | en | code | 0 | github-code | 36 |
5179170859 | #coding:utf-8
from django.shortcuts import render_to_response, get_object_or_404
from activity.dao import activityDao
from django.template.context import RequestContext
from collection.dao import collectionDao, select_collection_byReq,\
update_rightTime_byReq, update_wrongTime_byReq
from django.http.response impor... | WarmerHu/subject | collection/views.py | views.py | py | 3,516 | python | en | code | 0 | github-code | 36 |
25047209667 | from rest_framework import status
from rest_framework.generics import get_object_or_404
from rest_framework.views import APIView
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from .models import Profile, Subject, Lesson, Screenshot
from .permissions import EditingF... | vnkrtv/screenshots-loader | backend/app/api/views.py | views.py | py | 5,190 | python | en | code | 0 | github-code | 36 |
36426081739 | from PIL import Image
import math
def invert(img):
rgb_img = img.convert('RGB')
width, height = rgb_img.size
img2 = Image.new('RGB', (width, height))
for y in range(height):
for x in range(width):
r, g, b = rgb_img.getpixel((x, y))
r = 255 - r
g = 255 - g
b = 255 - b
# print(f'(x:{x},y:{y} = ({r... | koyachi/sketches | 2021-02-11-pythonista-image/image_processor.py | image_processor.py | py | 3,591 | python | en | code | 2 | github-code | 36 |
72432170665 | import numpy as np
import cv2
STAGE_FIRST_FRAME = 0
STAGE_SECOND_FRAME = 1
STAGE_DEFAULT_FRAME = 2
kMinNumFeature = 1500
orb = cv2.ORB_create()
lk_params = dict(winSize = (21, 21),
#maxLevel = 3,
criteria = (cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 30, 0.01))
############## Edit this porti... | aswinsbabu/visual-odometry | test_folder/odometry/sift_odometry.py | sift_odometry.py | py | 5,990 | python | en | code | 1 | github-code | 36 |
27320663172 | import lyricsgenius as lg
import csv
import re
def clean(lyrics):
s = re.split(" |\n", lyrics)
tempLyrics = ""
for i in range(1,len(s)):
word = s[i]
tempLyrics += " " + re.sub(r'\W+', '', word)
return tempLyrics
client_access_token = "T_JxSIu8YFUEi3rDYG_9dOuajcyPXDJV09C... | Ykelli/NLP | scraper.py | scraper.py | py | 1,245 | python | en | code | 0 | github-code | 36 |
25317597548 | #!/user/bin/python
import configparser
import requests
import json
import time
#read config file for API key
config = configparser.ConfigParser()
config.sections()
config.read('../TwitterScrape/credentials.ini')
api = config.get("keys", 'urlapi')
#Set headers and data for api usage
headers = {
'Content-Type': 'appli... | monkeytail2002/TwitterURLChecker | Test Scripts/testrequest.py | testrequest.py | py | 1,010 | python | en | code | 0 | github-code | 36 |
35132573715 | import itertools
from abc import ABCMeta
import numpy as np
import tensorflow as tf
import gin.tf
from datasets.raw_dataset import RawDataset
from datasets import dataset_utils
from layers.embeddings_layers import ObjectType
class SamplingDataset(RawDataset, metaclass=ABCMeta):
pass
@gin.configurable(blacklist... | Dawidsoni/relation-embeddings | src/datasets/sampling_datasets.py | sampling_datasets.py | py | 9,287 | python | en | code | 0 | github-code | 36 |
41037129028 | import matplotlib.pyplot as plt
import cv2
import os
import random
BASE_PATH = "testImages"
CATEGORIES = ["flybuss", "neptuntaxi", "trondertaxi"]
IMG_SIZE = 60
for category in CATEGORIES:
path = os.path.join(BASE_PATH, category)
for img in os.listdir(path):
img_array = cv2.imread(os.path.join(path, im... | JoakimAa/Bachelor2021 | ML/Cnn/viewtest.py | viewtest.py | py | 474 | python | en | code | 0 | github-code | 36 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.