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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
34463042679 | def primality(n):
rn = n**(1/2)
i = 2
found = False
while i <= rn and not found:
if n % i == 0:
found = True
else:
i += 1
if found or n == 1:
return 'Not prime'
else:
return 'Prime' | Kakurouta/Python_Problem_Solving | TimeComplexity_Primality.py | TimeComplexity_Primality.py | py | 273 | python | en | code | 0 | github-code | 1 |
32472340551 | # class.py
# template for a a data type, python style guide recommends
# capatalizing name of class
class FirstClass:
pass
# -------------
# Instantiate a class
# One method could be creating an object and assigning it to a variable
class XmenReboot:
pass
x_reboot = XmenReboot()
# The type method reverse... | jon-xo/python-practice | lesson-intro/classes/class.py | class.py | py | 4,585 | python | en | code | 0 | github-code | 1 |
22026922508 | #coding:utf-8
import logging
import time
from Config.conf import *
def Logger(testlog): #测试的名称
#1、创建log
logg = logging.getLogger(testlog)
logg.setLevel(logging.INFO)#log等级的总开关
# 获取本地时间，转换成日志需要的格式
curTime = time.strftime("%Y%m%d%H%M", time.localtime(time.time()))
# 设置日志的文件名称
LogFileName = log... | joanguo123456/Python-selenium | Methods/log.py | log.py | py | 1,074 | python | en | code | 0 | github-code | 1 |
70477488033 | # -*- coding: utf-8 -*-
from .conversion import check_type
from .filesystem import json_exporter, get_appdirs_path, sha256, json_importer
from .maps import Map
from .intersections import intersection_dispatcher
from .geometry import get_remaining
from .projection import project
from .rasters import gen_zonal_stats
from... | cmutel/pandarus | pandarus/calculate.py | calculate.py | py | 17,723 | python | en | code | 8 | github-code | 1 |
40614540059 | import sys
import os
from ROOT import *
import numpy as np
from sys import exit
from numpy.random import uniform, normal
from random import choice
from pprint import pprint
import copy
# Check out git clone https://github.com/mdj/NexDet.git and point sys.path to that place
sys.path.append("/home/philip/Documents/bac... | skaersoe/TrackingPositrons | Python/Prototype/simulation_reconstruction.py | simulation_reconstruction.py | py | 51,432 | python | en | code | 1 | github-code | 1 |
6493867382 | from msrest.service_client import ServiceClient
from msrest import Configuration, Serializer, Deserializer
from .version import VERSION
from .operations.dictionary_operations import DictionaryOperations
from . import models
class AutoRestSwaggerBATdictionaryServiceConfiguration(Configuration):
"""Configuration fo... | testormoo/autorest.ansible | test/vanilla/Expected/AcceptanceTests/BodyDictionary/fixtures/acceptancetestsbodydictionary/auto_rest_swagger_ba_tdictionary_service.py | auto_rest_swagger_ba_tdictionary_service.py | py | 1,754 | python | en | code | 0 | github-code | 1 |
17141535673 | import trends_data
import matplotlib.pyplot as plt
region = 'US'
n_hits = 4
keywords = trends_data.get_trending_keywords(n_hits)
hist_df_list = [trends_data.get_historical_data(keyword, region) for keyword in keywords]
scores_df = trends_data.compute_total_score(hist_df_list, keywords)
ax = scores_df.plot.pi... | kochlisGit/Data-Science-Algorithms | visualizations/pie_plot.py | pie_plot.py | py | 409 | python | en | code | 2 | github-code | 1 |
28928854742 | import tkinter
import random
x_max, y_max = 1000, 600
c = tkinter.Canvas(width = x_max, height = y_max)
c.pack()
def farba(r,g,b):
return f"#{r:02x}{g:02x}{b:02x}"
r = random.randrange(256)
g = random.randrange(256)
b = random.randrange(256)
zvacsenie_r = 3
zvacsenie_g = 3
zvacsenie_b = 3
... | AnonymnyNikto/PythonProgramovanie | Podmienky/Program_001.py | Program_001.py | py | 1,413 | python | es | code | 1 | github-code | 1 |
72858504034 | import os
from flask import Flask, render_template, redirect, url_for, request, flash
from flask_bootstrap import Bootstrap5
from flask_sqlalchemy import SQLAlchemy
from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField
from wtforms.validators import DataRequired
import requests
app = Flask(__nam... | Developer122436/MyScrips | My Projects on Data Science, Web and more/Section 64 - My top 10 movies website with SQLite, API, Flask and Jinja/main.py | main.py | py | 4,112 | python | en | code | 0 | github-code | 1 |
28640282219 | from django.db import models
from users.models import BakeryUser
from django.utils import timezone
# Create your models here.
DISCOUNT_RULE = [
('based_on_order', 'Based On Order Amount'),
('based_on_quantity', 'Based On Quantity')
]
DISCOUNT_TYPE = [
('fixed_price', 'Fixed Price'),
('percentage', 'P... | deepvikas/bakery_management | bakery/models.py | models.py | py | 1,342 | python | en | code | 0 | github-code | 1 |
39661298304 | # import itertools
#
#
# l = []
# for i in range(8):
# l.append([0,1,2,3,4,5])
#
# print(l)
# # l = [[0,1,2,3,4,5],[0,1,2,3,4,5],[0,1,2,3,4,5],[0,1,2,3,4,5]]
# combi = list(itertools.product(*l))
#
# print(len(combi))
def readInput(fn,mode=0):
"""
:param fn: input filname
:param mode: 0 normal worki... | Rapid1898-code/Advent-Of-Code | Advent2020/Advent20_1.py | Advent20_1.py | py | 4,872 | python | en | code | 0 | github-code | 1 |
36995726099 | import random
import vector
def clear():
"""clearing for python interpreter"""
for i in range(30):
print()
def main():
time = 4 #time in seconds
res = 30 #resolution (points per second)
t = [t/(res*time) for t in range(res*time)]
acc = Vector(3,4,5)
vel = Vector(0.5, 0... | quiksand/toolbox | misc.py | misc.py | py | 441 | python | en | code | 0 | github-code | 1 |
19402859793 | class1 = input('Is there class today?')
if class1 == 'y':
wake1 = input('Did you wake up on time?')
if wake1 == 'y':
getWeather = input("What is the temperature outside?: ")
weather1 = input('Is it nice out?')
if weather1 == 'y':
trans1 = input('Do you have transportation?')
if trans1 == 'y... | JamMasterJess/Training-python | attendClass.py | attendClass.py | py | 995 | python | en | code | 0 | github-code | 1 |
6386216098 | # Bismillah
from sys import stdin, stdout
# import threading
# import queue
# from collections import Counter
# from math import inf, gcd
# import heapq
# import itertools
# str_stdin = lambda: stdin.readline()[:-1]
# strs_stdin = lambda: list(map(str, stdin.readline().split()))
int_stdin = lambda: int(stdin.readline(... | oneku16/CompetitiveProgramming | ICPC/ICPC2022/Preparation/2021b.py | 2021b.py | py | 1,057 | python | en | code | 0 | github-code | 1 |
37440654962 | from copy import deepcopy
import functools
from iceberg.api import DataOperations
from iceberg.api.expressions import Expressions, Literal, Operation, UnboundPredicate
from iceberg.api.types import TimestampType
from .manifest_group import ManifestGroup
from .util import str_as_bool
TIMESTAMP_RANGE_MAP = {Operation.... | wujiapei/alldata | oneLake/iceberg-versions/iceberg-0.13/python_legacy/iceberg/core/scan_summary.py | scan_summary.py | py | 15,929 | python | en | code | 3 | github-code | 1 |
29675356473 | from dataclasses import dataclass
from datetime import datetime
from .. import db
@dataclass
class StockTimeline(db.Model):
__tablename__ = "stock_timeline"
id: int = db.Column(db.Integer, primary_key=True, autoincrement=True)
product_id: int = db.Column(db.Integer, db.ForeignKey("product.id"), nullable=... | CodePan1/VendingMachineFlask | src/models/stock_timeline.py | stock_timeline.py | py | 820 | python | en | code | 0 | github-code | 1 |
26064585699 | import argparse
import os
import random
import shutil
import time
import warnings
from tqdm import tqdm
from typing import Callable, Optional
import faiss
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim
import torch.utils.data
from torch.utils.data im... | UCDvision/low-budget-al | trainer_DP.py | trainer_DP.py | py | 14,246 | python | en | code | 13 | github-code | 1 |
11705085942 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import os
import sys
import psycopg2
from psycopg2.extensions import AsIs
from datetime import timedelta
sys.path.append('/home/mike/dsi/capstones/climbing_gym_checkins_eda')
def parse_datetime(df, col='index', hour=True, dow=True, date=True, w... | bakera81/weather_and_climbing_gym_checkins | src/funcs.py | funcs.py | py | 6,470 | python | en | code | 0 | github-code | 1 |
5974516977 | #!/usr/bin/env python
# Designed for use with boofuzz v0.0.8
import sys
from boofuzz import *
if len(sys.argv) < 3:
sys.exit(-1)
s_initialize("query")
if s_block_start("header"):
s_word(123, name="id")
s_byte(1)
s_byte(0)
s_byte(0)
s_byte(1)
s_word(0, name="AnCount", endian=">")
s_wor... | zhaomanzhou/Sdns | src/fuzzer/tcptest_test.py | tcptest_test.py | py | 816 | python | en | code | 0 | github-code | 1 |
11130967395 | # 병합정렬
def merge_sort(list1):
# 종료조건
if len(list1) <= 1:
return list1
# 분해작업
mid = len(list1) // 2 # 중간 값 구하기
g1 = list1[:mid] # 재귀호출로 첫 번째 그룹 g1 = [6, 8, 3, 9, 10] => g1[6, 8] & g2[3, 9, 10]
g2 = list1[mid:]
merge_sort(g1)
merge_sort(g2)
# 병합
i1, i2, ia = 0, 0, 0
... | hayeong25/Python_Soldesk | algorithm/17_병합정렬2.py | 17_병합정렬2.py | py | 935 | python | ko | code | 0 | github-code | 1 |
9162161598 | """
Flask Documentation: http://flask.pocoo.org/docs/
Jinja2 Documentation: http://jinja.pocoo.org/2/documentation/
Werkzeug Documentation: http://werkzeug.pocoo.org/documentation/
This file creates your application.
"""
import os
from werkzeug.utils import secure_filename
from app import app, db
from flask im... | kimkcharles/info3180-project1 | app/views.py | views.py | py | 3,783 | python | en | code | 0 | github-code | 1 |
17414175242 | from PySide2.QtCore import Qt
from PySide2.QtWidgets import QWidget, QMainWindow, QLabel, QApplication, QDockWidget, QPushButton, QGridLayout, \
QVBoxLayout, QTabWidget, QInputDialog
from PySide2.QtGui import QIcon
from gui.EditMenu import EditMenu
from gui.HelpMenu import HelpMenu
from gui.ViewMenu import ViewMenu... | dovvla/multimedia-book | MuMijA/gui/MainWindow.py | MainWindow.py | py | 4,723 | python | en | code | 0 | github-code | 1 |
8993383106 | from flask import Blueprint, session, render_template, flash, make_response, \
url_for
from werkzeug.utils import redirect
from flask import request
from dataengine.common.log import logger
from dataengine.server.routes.annotations import requires_auth
from dataengine.server.routes.validator.user_metric import (
... | apmaros/dataengine | dataengine/server/routes/user_metric.py | user_metric.py | py | 1,289 | python | en | code | 1 | github-code | 1 |
6781869373 | # 중복된 결과 값을 stack에 저장해서 실행속도를 줄이는 방법
# 피보나치 실행시간을 줄이기가 목적
def fibo(n):
if n<=2: return 1
return fibo(n-1)+fibo(n-2)
print(fibo(35))
memo =[0,1,1]+[0]*100
def fibo_memo(n):
if n<=2: return 1
if memo[n]:return memo[n]
memo[n]= fibo_memo(n-1)+fibo_memo(n-2)
return memo[n]
print(fibo(35)) | Hyunjong1461/python | 200406/메모이제이션.py | 메모이제이션.py | py | 387 | python | ko | code | 0 | github-code | 1 |
73747256355 | from bson import ObjectId
from flask_restplus import abort, marshal
from rest.entities.templates.models import entity_template_response
from rest.entities.models import set_bson_object
from rest.common.constants import ENTITY_TEMPLATE_COLLECTION, ID
from rest.common.constants import META, IS_DELETED, UPDATED, INTERNAL... | samshinde/Flask-MVC | entity_mgmt_app/rest/entities/templates/service.py | service.py | py | 6,977 | python | en | code | 0 | github-code | 1 |
6652507274 | # coding=utf-8
"""
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under ... | oceanbase/sql-lifecycle-management | src/common/logger.py | logger.py | py | 2,813 | python | en | code | 56 | github-code | 1 |
30024117659 | #----ANIMAL FAVORITO---#
class Animal ():
def __init__(self,caracteristica1,tamaño,caracteristica2):
self.raza = 'pastor aleman'
self.caracteristica= caracteristica1
self.estaturaa= tamaño
self.otracaracteristica= caracteristica2
def atributos (self):
print(f'''hola m... | Santi-ago222/programacion3semestre | clases y objetos/ejercicio.py | ejercicio.py | py | 1,170 | python | es | code | 0 | github-code | 1 |
8490942134 | import pyposeidon.meteo as pmeteo
import pytest
import pandas as pd
import xarray as xr
import os
import numpy as np
import shutil
from . import DATA_DIR
METEO_NC = DATA_DIR / "meteo.nc"
ERA5_GRIB = DATA_DIR / "era5.grib"
DATASET = xr.Dataset(data_vars=dict(lat=(("node", [1, 2, 3]))))
def test_dispatch_meteo_sourc... | ec-jrc/pyPoseidon | tests/test_meteo.py | test_meteo.py | py | 3,426 | python | en | code | 17 | github-code | 1 |
11434781298 | import random
import math
from sympy import isprime, mod_inverse
from flask import Flask, request, jsonify
from flask_cors import CORS, cross_origin
app = Flask(__name__)
CORS(app, support_credentials=True, resources={r'/make_key': {'origins': '*'}})
@app.route("/make_key", methods=['GET'])
@cross_origin()
def make... | mazinal-ani/message-encryption-system | encryption.py | encryption.py | py | 3,454 | python | en | code | 0 | github-code | 1 |
19686765177 | import matplotlib
import re
import os
import sys
import shutil
# get config file path
config_file = matplotlib.matplotlib_fname()
# move wenquanyi open source TTF font file in
if sys.platform == 'win32':
ttf_font_path = config_file.replace('\\matplotlibrc', '\\fonts\\ttf')
else:
ttf_font_path = config_fil... | wshuyi/demo-python-chinese-word-embedding | handle_matplotlib_chinese.py | handle_matplotlib_chinese.py | py | 819 | python | en | code | 34 | github-code | 1 |
35431203364 | import sys
sys.stdin = open('input_7562.txt', 'r')
def BFS(row, col):
queue = []
dx = [-2, -1, +1, +2, +2, +1, -1, -2]
dy = [+1, +2, +2, +1, -1, -2, -2, -1]
queue.append([row, col])
visited[row][col] = True
move_cnt = 0
while True:
temp_list = []
move_cnt += 1
while ... | wally-wally/TIL | 02_algorithm/baekjoon/problem/1000~9999/7562.나이트의이동/7562.py | 7562.py | py | 1,199 | python | en | code | 32 | github-code | 1 |
29540033424 | #########################################################
# Holds value and weights for types of recycling
# value: represents the value of each 1 unit of recycling
# amount:_weighted is a value that can be used as a
# multiplying to the amount donated to weigh
# it as needed
######... | andrewcolepinkham/recycler | recyclemanager/submissions/calculate_scores.py | calculate_scores.py | py | 1,627 | python | en | code | 3 | github-code | 1 |
146107604 | # coding: utf-8
# This is the deepseg_gm model definition for the
# Spinal Cord Gray Matter Segmentation.
#
# Reference paper:
# Perone, C. S., Calabrese, E., & Cohen-Adad, J. (2017).
# Spinal cord gray matter segmentation using deep dilated convolutions.
# URL: https://arxiv.org/abs/1710.01269
import kera... | jem0101/BigSwag-SQA2022-AUBURN | TestOrchestrator4ML-main/resources/Data/supervised/GITHUB_REPOS/neuropoly@spinalcordtoolbox/spinalcordtoolbox/deepseg_gm/model.py | model.py | py | 6,230 | python | en | code | 2 | github-code | 1 |
21843265623 | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def pathSum(self, root: TreeNode, total: int) -> List[List[int]]:
if not root:
return [... | uditmanav17/leetcode | 113-path-sum-ii/113-path-sum-ii.py | 113-path-sum-ii.py | py | 999 | python | en | code | 0 | github-code | 1 |
20524415029 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import tkinter as tk
from tkinter import ttk
from .Labeler import Labeler
from .LabeledMultiWidget import LabeledMultiWidgetMixin
from .SuperWidget import SuperWidgetMixin
from typing import Callable
class ActiveOptionMenu(ttk.OptionMenu, SuperWidgetMixin):
"""ttk.Optio... | AndrewSpangler/py_simple_ttk | src/py_simple_ttk/widgets/OptionMenuWidgets.py | OptionMenuWidgets.py | py | 3,012 | python | en | code | 2 | github-code | 1 |
41806562449 | # This file contains an attempt at actually putting the network trained in EncDec.py to practice
import keras
import numpy as np
import matplotlib.pyplot as plt
from keras.models import Model, load_model
import pandas as pd
import pandas_ml as pdml
from matplotlib.widgets import Slider
def decode(onehot):
return n... | walterian/VLC-CAE | Implementation.py | Implementation.py | py | 3,348 | python | en | code | 0 | github-code | 1 |
14993729383 | # -*- coding: utf-8 -*-
"""metrics module
Define our metrics module that encapsulates attributes and methods related to
the metrics we use for our lunar anomalies project.
"""
import matplotlib.pyplot as plt
import numpy as np
from inspect import signature
from sklearn.metrics import average_precision_score, auc
from s... | lesnikow/lunar-anomalies | lam/metrics.py | metrics.py | py | 9,530 | python | en | code | 2 | github-code | 1 |
23255146922 | from flask import Flask, render_template, jsonify, request
from flask_pymongo import PyMongo
from flask_cors import CORS, cross_origin
import json
import copy
import warnings
import re
import random
import math
import pandas as pd
pd.set_option('use_inf_as_na', True)
import numpy as np
import multiprocessing
from o... | angeloschatzimparmpas/VisRuler | run.py | run.py | py | 44,623 | python | en | code | 1 | github-code | 1 |
39447744666 | #PYTHON 3
import urllib,json, time
from bs4 import BeautifulSoup
exec(open('/home/fbbot/cfb/sload.py').read())
confs_site=BeautifulSoup(urllib.urlopen('http://espn.go.com/college-football/standings?t='+str(time.time())),"html5lib")
conferences=confs_site.findAll('div',{'class':'responsive-table-wrap'})
confs={}
for ... | rankinr/FootballBot | updaters/confs.py | confs.py | py | 1,301 | python | en | code | 4 | github-code | 1 |
35802081641 | from tkinter import *
from tkinter import messagebox
root=Tk()
def veiw1():
if(e1.get()=="HOPE"):
import user
else:
messagebox.showinfo("VEIW",("Sorry,Wrong input"))
canvas = Canvas(root,width = 500, height = 200, bg = 'blue')
canvas.pack()
img = PhotoImage(file = 'c3.png')
canvas.cre... | amritachaudri/Text-Based-Captcha | page1.py | page1.py | py | 554 | python | en | code | 0 | github-code | 1 |
14839016648 | import numpy as np
from scipy.stats import multivariate_normal
from sklearn.cluster import KMeans
import cv2
np.random.seed(0)
def EM_Segmentation(data, parameters, epsilon):
mean_1 = parameters['mean_1']
mean_2 = parameters['mean_2']
covariance_1 = parameters['covariance_1']
covariance_2 = parameters[... | chenhuaizhen/Image_denoising_segmentation | EM-Segmentation.py | EM-Segmentation.py | py | 5,432 | python | en | code | 4 | github-code | 1 |
27787721598 | import tweepy
import configparser
from datetime import datetime
import json
config = configparser.ConfigParser()
config.read('./twitter.ini')
ACCESS_TOKEN = config.get('twitter', 'ACCESS_TOKEN')
ACCESS_TOKEN_SECRET = config.get('twitter', 'ACCESS_TOKEN_SECRET')
API_KEY = config.get('twitter', 'API_KEY')
AP... | clairtonm/kafka-spark-course | kafka/twitter_batch.py | twitter_batch.py | py | 1,287 | python | en | code | 0 | github-code | 1 |
22607295569 | import cv2
import os
import glob
import numpy as np
image_path=np.array(sorted(glob.glob(r"C:\Data\img\*.png")))
save_path=r"C:\Data\result"
def load_t(x):
img = cv2.imread(x,-1)
basename=os.path.basename(x)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
grad = grade(gray)
savepath=os... | liaochengcsu/jlcs-building-extracion | test_c4_vis.py | test_c4_vis.py | py | 748 | python | en | code | 2 | github-code | 1 |
40135381216 |
# Accessing an element in an array
array = [9,4,5,7,0]
print (array[3])
# output = 7
# print (array[9])---> This will print "list index out of range" since the index at 9 is not available.
# Insertion operation in an array
# One can add one or more element in an array at the end, beginning or any given index
#... | BethMwangi/DataStructuresAndAlgorithms | Arrays/operations.py | operations.py | py | 1,693 | python | en | code | 0 | github-code | 1 |
36524344047 | from datetime import datetime
from consulta.models import Agendamento
from consulta.ext.database import db
class AgendamentoService:
@staticmethod
def agendar_consulta(dados):
dados['data'] = datetime.strptime(dados['data'], '%Y-%m-%d %H:%M:%S')
agendamento = Agendamento(**dados)
db.s... | sabrinaa0408/agendamento-backend | consulta/blueprints/services/agendamento.py | agendamento.py | py | 617 | python | pt | code | 0 | github-code | 1 |
33969656326 | from scipy.interpolate import interp1d
import numpy as np
import pyglet
from board_colors import board_colors
from board_graphics import BoardBackground, BoardForeground
class ProbabilityDisplay:
def __init__(self, window_size, board_size, initial_probabilities):
self.window_size = window_size
self.board_siz... | lihmds/govis | probability_display.py | probability_display.py | py | 1,706 | python | en | code | 0 | github-code | 1 |
1145283895 | import sys
input = sys.stdin.readline
def BOJ_1992(x,y,size):
if size == 0 : return
cnt = 0
for i in range(x,x+size):
cnt += sum(lst[i][y:y+size])
if cnt == 0:
print(0,end="")
elif cnt == size*size:
print(1,end="")
else:
print('(',end="")
... | seoljeongwoo/learn | algorithm/BOJ_.1992.py | BOJ_.1992.py | py | 613 | python | en | code | 0 | github-code | 1 |
33880536633 | from collections import defaultdict
from utils import timeit
@timeit
def get_data():
data = []
with open('input.txt') as input_file:
for line in input_file:
value = line.strip().split()
data.append(value)
return data
def execute(program, default_registers=None):
# Do... | bdaene/advent-of-code | 2016/day23/solve.py | solve.py | py | 3,142 | python | en | code | 1 | github-code | 1 |
19816918134 | # -*- coding: utf-8 -*-
from django.contrib.sites.models import Site
from django.db import models
from django.db.models import Q
from django.utils import six
from cms.cache.permissions import get_permission_cache, set_permission_cache
from cms.exceptions import NoPermissionsException
from cms.models.query import PageQ... | farhan711/DjangoCMS | cms/models/managers.py | managers.py | py | 19,053 | python | en | code | 7 | github-code | 1 |
21413137316 | import numpy
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from PIL import Image
import PIL.ImageOps
X= numpy.load("image.numpyz")['arr_0']
y = pd.read_csv("labels.csv")["labels"]
classes = ['A','B','C','D','E','F','G','H'... | SaanviSinha/Project-125 | program.py | program.py | py | 1,275 | python | en | code | 0 | github-code | 1 |
27801631687 | from reverse_linked_list_iterative import reverse_linked_list
from test_framework import generic_test
def is_linked_list_a_palindrome(L):
data_list = []
orig = L
while L:
data_list.append(L.data)
L = L.next
end = len(data_list)-1
for start in range(len(data_list)//2):
if da... | garciamilord/Elements-of-Programming-Interviews | epi_judge_python_solutions/is_list_palindromic.py | is_list_palindromic.py | py | 651 | python | en | code | null | github-code | 1 |
2537939936 | #!/usr/bin/env python
# coding: utf-8
import pyqrcode
import pandas as pd
import os
# set variable(s)
QR_folder = "test_data/QRs"
student_CSV = "test_data/sj_sample.csv"
last_name_row = "Last name"
first_name_row = "First name"
student_id_row = "Student ID"
def createQR(student):
qr = pyqrcode.create(stude... | RoloTammasi/portraitAssistant | qr_create.py | qr_create.py | py | 647 | python | en | code | 0 | github-code | 1 |
70524176993 | import rclpy
from rclpy.node import Node
import serial
import sys
import threading
import glob
from std_msgs.msg import String
class SerialRelay(Node):
def __init__(self):
# Initalize node with name
super().__init__("serial_publisher")
# Create a publisher to publish any output the pico ... | shorewind/shc-twomonth-rover | ros_ws/src/pico_relay/pico_relay/pico_relay.py | pico_relay.py | py | 2,749 | python | en | code | 2 | github-code | 1 |
18202915443 | from .utilities.navigable import make_navigable
__converters = {}
def conversion(output_type, *mime_types):
"""Decorator: registers the decorated function as the converter of each of
the specified MIME types to the specified OutputType."""
def _conversion(f):
def _register_converter(output_type,... | os2datascanner/os2datascanner | src/os2datascanner/engine2/conversions/registry.py | registry.py | py | 1,661 | python | en | code | 8 | github-code | 1 |
28176883992 |
import csv
content_pages = {}
count = 0
# with open('resources/Dummy Data_final_310123 - with full content samples.xlsx - Full Content Samples.csv'
# , newline='') as csvfile:
with open('resources/MA Database 220523.xlsx - topics.csv'
, newline='') as csvfile:
reader = csv.reader(csvfile, delimit... | DCotterill/halixia-hugo | validate-topics.py | validate-topics.py | py | 1,294 | python | en | code | 0 | github-code | 1 |
41695589361 | import os
import torch
from typing import Dict, List, Tuple, Optional
from dataclasses import dataclass
from src.dataType import State, Action
from src.animator.animator import Animator
from src.const import VNF_SELECTION_IN_DIM, VNF_PLACEMENT_IN_DIM
@dataclass
class DebugInfo:
timestamp: str
episode: int
... | euidong/sdn-lullaby | src/utils.py | utils.py | py | 6,070 | python | en | code | 0 | github-code | 1 |
72410596835 | import cv2 as cv
import numpy as np
import os
def dummy_resize(img, size):
_sz = np.shape(img)[:-1]
field = np.zeros((max(_sz), max(_sz), 3), dtype=np.uint8)
if _sz[0] > _sz[1]:
field[:, (_sz[0]-_sz[1])//2:(_sz[0]+_sz[1])//2+(_sz[1] % 2), :] = img
else:
field[(_sz[1]-_sz[0])... | onion-nikolay/cf-dataset-preprocessing | image_processing.py | image_processing.py | py | 3,981 | python | en | code | 0 | github-code | 1 |
25728142019 | import unittest.mock as mock
from tensortrade.oms.instruments import ExchangePair, BTC, USD
@mock.patch('tensortrade.exchanges.Exchange')
def test_valid_init(mock_exchange):
exchange = mock_exchange.return_value
exchange.name = "bitfinex"
exchange_pair = ExchangePair(exchange, USD/BTC)
assert excha... | tensortrade-org/tensortrade | tests/tensortrade/unit/oms/instruments/test_exchange_pair.py | test_exchange_pair.py | py | 670 | python | en | code | 4,270 | github-code | 1 |
7117312465 | def zigzagTraverse(array):
# Write your code here.
height = len(array) -1
width = len(array[0]) -1
goingDown = True
row, col = 0,0
result = []
while not outOfBound(row, col, height, width):
result.append(array[row][col])
print(goingDown)
print(row,col)
if goi... | Theeyecode/python_alg | hard/zigzag_conversion.py | zigzag_conversion.py | py | 1,075 | python | en | code | 0 | github-code | 1 |
31944164515 | from Ferramentas_Producao.modules.dsgTools.processingLaunchers.processing import Processing
from qgis import core, gui
import processing
class AssingFilterToLayers(Processing):
def __init__(self, controller):
super(AssingFilterToLayers, self).__init__()
self.processingId = 'dsgtools:assignfilt... | dsgoficial/Ferramentas_Producao | modules/dsgTools/processingLaunchers/assingFilterToLayers.py | assingFilterToLayers.py | py | 1,059 | python | en | code | 2 | github-code | 1 |
6257876376 | # with open("weather_data.csv", mode="r") as weather_data:
# weather = weather_data.readlines()
# print(weather)
# import csv
#
# with open("weather_data.csv", mode="r") as weather_data:
# weather = csv.reader(weather_data)
# temperatures = []
# print(weather)
# for row in weather:
# if row... | wintermute111/100DaysOfPython | Day025/pandas/main.py | main.py | py | 1,665 | python | en | code | 0 | github-code | 1 |
21263148292 | import time
import os
from copy import deepcopy
from random import shuffle
# Rouge = '\033[1;31;40m'
# Rouge_2 = '\033[0;31;47m'
# Bleu_2 = '\033[0;34;47m'
# Jaune = '\033[1;33;40m'
# Bleu = '\033[1;34;40m'
# Magenta = '\033[1;35;40m'
# Noir = '\033[0;30;40m'
largeur = 12
hauteur = 6
ia = '... | SeYouri99/IA-Puissance-4 | Puissance-4-Joueur-IA-TRAN-VAN-SIGAUD-SEMAAN-SERRO-1.py | Puissance-4-Joueur-IA-TRAN-VAN-SIGAUD-SEMAAN-SERRO-1.py | py | 19,367 | python | fr | code | 0 | github-code | 1 |
15249763407 | import os
import numpy as np
from typing import Tuple, Dict
from nuscenes.utils.data_classes import Box, PointCloud, RadarPointCloud
from nuscenes.utils.geometry_utils import view_points, transform_matrix
from functools import reduce
from pyquaternion import Quaternion
# Taken from mrnabati/CenterFusion
class Radar... | robot-learning-freiburg/Batch3DMOT | batch_3dmot/utils/radar.py | radar.py | py | 6,959 | python | en | code | 28 | github-code | 1 |
14755303847 | S=list(set(input().split(" ")))
S.sort()
print(" ".join(S))
'''S=input()
c=[]
L=list(S.split(' '))
L.sort()
for i in L:
if(i not in c):
c.append(i)
print(' '.join(c))''' | Simo0o08/Python-Assignment | Python assignment/Module 4/Sortword.py | Sortword.py | py | 189 | python | en | code | 0 | github-code | 1 |
3156968114 | import requests
from bs4 import BeautifulSoup
import sys
import re
def get_bullet_points_from_url(url, tag):
response = requests.get(url)
response.raise_for_status()
soup = BeautifulSoup(response.text, 'html.parser')
# Use regular expression to match the tag, regardless of surrounding whitespace
... | SamTheSapiel/BrowserPi | soup.py | soup.py | py | 1,493 | python | en | code | 1 | github-code | 1 |
72202901155 | import requests
from bs4 import BeautifulSoup
import csv
import json
class RokomaryBooks:
__url = ""
__data = ""
__wlog = None
__soup = None
def __init__(self, url,wlog):
self.__url = url
self.__wlog = wlog
def retrieve_webpage(self,x):
try:
... | ahasanhamza/rokomaryScrapping | wapscrap/wscrap.py | wscrap.py | py | 6,337 | python | en | code | 0 | github-code | 1 |
881795625 | from django.shortcuts import render, get_object_or_404, redirect
from .models import Usuario
from .forms import UsuarioForm
def inicio(request) :
usuarios = Usuario.objects.all()
context = {
'usuarios' : usuarios
}
return render(request, 'usuarios/inicio.html', context)
def detail(request, id... | HugoMarquesz/cadastro_python | cadastro_python/usuarios/views.py | views.py | py | 1,443 | python | es | code | 1 | github-code | 1 |
28141443246 | # -*- coding: utf-8 -*-
import os
import math
import pickle
import numpy as np
from tensorflow.python.keras.models import load_model
from tensorflow.python.keras.models import Model
from tensorflow.python.keras.layers import Input, Conv2D, MaxPooling2D, Dropout, Flatten, Dense
from tensorflow.python.keras.prepr... | iwatake2222/CNN_NumberDetector | 01_Keras/ConvMnist_from_image_files.py | ConvMnist_from_image_files.py | py | 4,542 | python | en | code | 6 | github-code | 1 |
32192978673 | from Component_py.stubs import require, __pragma__, document # __:skip
from Component_py.component import destruct
from store import users_store
from containers.users import UsersContainer
from containers.user_profile import UserProfileContainer
from components.app import App
from components.home import Home
React =... | metamarcdw/react-redux-transcrypt | src/index.py | index.py | py | 1,037 | python | en | code | 5 | github-code | 1 |
72603396195 | # дескриптор хранит только числа, если нужно было не число
import sys
class Num:
def __get__(self, obj, cls):
try:
return obj._value
except:
return 0
def __set__(self, obj, val):
if hasattr(val, "__int__"):
obj._value = val.conjugate()
elif ... | hakenlaken/pythonprac | 20201119_2/task2.py | task2.py | py | 492 | python | ru | code | 1 | github-code | 1 |
34865004001 | import numpy as np
import torch
import torch.nn as nn
# mix up
def mixup_data(x, y, alpha=0.4, device='cuda'):
'''
Compute the mixup data. Return mixed inputs, pairs of targets, and lambda
'''
if alpha > 0.:
lam = np.random.beta(alpha, alpha)
else:
lam = 1.
batch_size = x... | travisergodic/T-brain_STAS_Segmentation | utils.py | utils.py | py | 2,220 | python | en | code | 6 | github-code | 1 |
7486708725 | import sys,os
from os import scandir, getcwd
from os.path import abspath
import cv2
import numpy as np
import boto3
from botocore.client import Config
def ls(ruta = getcwd()):
return [abspath(arch.path) for arch in scandir(ruta) if arch.is_file()]
#from google.colab.patches import cv2_imshow
def draw_matches(img1... | geoinca/miniok | dockerimg/02warp2img.py | 02warp2img.py | py | 5,734 | python | en | code | 1 | github-code | 1 |
30341126186 | import os
"""
Set up the repository to be found by the Python interpreter.
Opens `.bashrc` and appends the repository's root directory to PYTHONPATH.
"""
print('setup...')
repository_path = os.path.dirname(os.path.realpath(__file__))
bashrc_path = os.environ['HOME'] + '/.bashrc'
print('appending {} to ~/.bashrc ...... | lemcke/md_extraction_analysis | setup.py | setup.py | py | 574 | python | en | code | 0 | github-code | 1 |
18534619427 | import numpy as np
import scipy.linalg as la
import matplotlib.pyplot as plt
import math as math
L = 1
E_I = 1
nes = [5, 10, 100]
nro_grupo = 18
def SOR(K, f, Imax, eps, u, omega):
D = np.diag(np.diag(K))
M = np.dot((1 / omega), D) + np.tril(K, -1)
N = M - K
r = np.dot(K, u) - f
x = u
i = 0
... | santiagoaso/numerico2018 | tp1.py | tp1.py | py | 3,328 | python | en | code | 0 | github-code | 1 |
15882561796 |
import csv
headers = ['Symbol','Price','Date','Time','Change','Volume']
rows = [('AA', 39.48, '6/11/2007', '9:36am', -0.18, 181800),
('AIG', 71.38, '6/11/2007', '9:36am', -0.15, 195500),
('AXP', 62.58, '6/11/2007', '9:36am', -0.46, 935000),
]
with open('she.csv', 'w') as f:
f_csv = csv.w... | yutongytli/otree-test | likert/testing.py | testing.py | py | 642 | python | en | code | 0 | github-code | 1 |
34543761509 | def Assign(i, f, s, b):
# Write your code here
w=int(i)
x=float(f)
y=str(s)
if(b=="True"):
z=True
else:
z=False
print(w,x,y,z,dir(),sep="\n")
| ivansaji/TCS_Learning | python/Python/namespace.py | namespace.py | py | 191 | python | en | code | 0 | github-code | 1 |
70342944994 | import json
import logging
import os
from .threads import terminating
from .queueprocessor import QueueProcessor
logger = logging.getLogger(__name__)
BB_COVERAGE = 0
TB_COVERAGE = 1
class Coverage(QueueProcessor):
def __init__(self):
QueueProcessor.__init__(self)
# Split Bb and Tb coverage for... | S2E/s2e-env | s2e_env/server/coverage.py | coverage.py | py | 4,680 | python | en | code | 89 | github-code | 1 |
149190344 | import unittest
from nupic.research.frameworks.dendrites import AbsoluteMaxGatingDendriticLayer
from nupic.research.frameworks.dendrites.routing import get_gating_context_weights
from nupic.research.frameworks.dendrites.routing.hardcoded import (
run_hardcoded_routing_test,
)
class HardcodedErrorTest(unittest.Te... | jem0101/BigSwag-SQA2022-AUBURN | TestOrchestrator4ML-main/resources/Data/supervised/GITHUB_REPOS/numenta@nupic.research/tests/unit/frameworks/dendrites/hardcoded_test.py | hardcoded_test.py | py | 1,760 | python | en | code | 2 | github-code | 1 |
15247291297 |
# Abstract class defining the methods that any command or command group which
# whishes to participate in a _composition_ must support
class Composer():
def _optimizeCmdList(self, first,second, outType):
from AutoSequencerV2.command import Command # pylint: disable=import-outside-toplevel cycli... | RobotCasserole1736/firstRoboPy | AutoSequencerV2/composer.py | composer.py | py | 1,826 | python | en | code | 1 | github-code | 1 |
33844011901 | import csp
import time
def easy_map():
variablelist = []
variablelist.append(((0,0),(1,0)))
variablelist.append(((0,1),(0,2)))
variablelist.append(((1,1),))
variablelist.append(((2,0),(2,1)))
variablelist.append(((1,2),(2,2)))
variabledict = {}
variabledict[variablelist[0]] = (6,"*")
... | DimitrisMilonopoulos/KenkenCSP | kenken.py | kenken.py | py | 9,652 | python | en | code | 0 | github-code | 1 |
25324472633 |
import asyncio as asy
class asyncIter:
def __init__(self):
self.item = None
self.itemSet = False
self.cond = asy.Condition()
self.stop = None
def __aiter__(self): return self
async def __anext__(self):
cond = self.cond
async with cond:
while not self.itemSet:
await cond.wait()
if self.s... | 8080509/GENERAL-PY | AsyncUtils.py | AsyncUtils.py | py | 1,830 | python | en | code | 0 | github-code | 1 |
30040919497 | import time
import os
import re
import traceback
import sys
import getopt
from os.path import exists
from htmldocx import HtmlToDocx
import random
from xhtml2pdf import pisa
from gazpacho import Soup
from Md import Md
from Cd import Cd
class Main:
RET_ERROR_INVALID_ARGS = 1
RET_ERROR_PARSING_ARGS = 2
RET_... | AndersonPaschoalon/MdConv | Main.py | Main.py | py | 11,607 | python | en | code | 0 | github-code | 1 |
30742433737 | participants = ['Alvin',
'Arno',
'Azula',
'Betty',
'Edgar',
'Martin',
'Melanie',
'Omari',
'Richard',
'Samuel']
# OK to include folks from last year not in this year
last_years_pairs = [('Alvin', 'Richard'),
('Arno', 'Melanie'),
('Azula', 'Arno'),
('Betty', 'Samuel'),
('Edgar', 'Alvin'),
('Martin', 'Betty... | meonkeys/gift-exchange | data.py | data.py | py | 566 | python | en | code | 0 | github-code | 1 |
38791965526 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# ======================================================================================
#
# ██╗ ███████╗███╗ ███╗ ██████╗ ███╗ ██╗███████╗
# ██║ ██╔════╝████╗ ████║██╔═══██╗████╗ ██║██╔════╝
# ██║ █████╗ ██╔████╔██║██║ ██║██╔██╗ ██║███████╗
# ██║ ... | benthevining/Lemons | util/doxygen/scripts/cmake/cmake_api.py | cmake_api.py | py | 4,109 | python | en | code | 41 | github-code | 1 |
22504134069 | import sys
import heapq
input = sys.stdin.readline
def Prim():
mst = set()
weight = 0
heap_q = []
heapq.heappush(heap_q, (0, 1))
while heap_q:
cur = heapq.heappop(heap_q)
if cur[1] in mst:
continue
mst.add(cur[1])
weight += cur[0]
... | Kminwo-o/BaekJoon-Algorithm | 백준/Gold/1197. 최소 스패닝 트리/최소 스패닝 트리.py | 최소 스패닝 트리.py | py | 671 | python | en | code | 0 | github-code | 1 |
31420316602 | from matplotlib import pyplot as plt
from sklearn.datasets import load_digits
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn import metrics
import numpy as np
def best_forest(train_data, train_target, test_data, test_target):
"""
... | DavidLee233/randomforest | randomforest2.py | randomforest2.py | py | 3,091 | python | en | code | 0 | github-code | 1 |
4224515958 | from personajesub import *
class personaje:
def __init__(self,numPersonaje): # para recibir el numero de personaje que vamos a llamar
self.url= "https://swapi.co/api/people/"
self.numPersonaje=numPersonaje
url = "https://swapi.co/api/people/" + str(self.numPersonaje)
response = reque... | odiazgon/ejercicioclases | personaje.py | personaje.py | py | 1,063 | python | es | code | 0 | github-code | 1 |
2423327022 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.read_csv("survey_responses.csv")
# index refers to number of people getting correct for (question-1)
num_correct = []
for q_num in range(1,7):
correct_q = 0
for person_num in range(len(df)):
if df['PDDL Experience'][person_n... | reeceshuttle/966finalproject | analyze_survey_responses.py | analyze_survey_responses.py | py | 1,655 | python | en | code | 0 | github-code | 1 |
8002736803 | # -*- coding: utf-8 -*-
"""
@author: jungwonchang
"""
#intent_correct 자세히 보기 first_inferred_intent_final[i], intents[i]
from readers.goo_format_reader import Reader
from vectorizers.bert_vectorizer import BERTVectorizer
from models.joint_bert import JointBertModel
from utils import flatten
from vectorizers.tags_vectori... | brudenell/capstonedesign | eval_joint_bert_allsents.py | eval_joint_bert_allsents.py | py | 11,607 | python | en | code | 0 | github-code | 1 |
12647807283 | def calculate_day_of_year(year, month, day):
"""
计算给定日期 (年、月、日) 是这一年的第几天。
参数：
year: 给定的年份，例如 2023。
month: 给定的月份，例如 1 或 2。
day: 给定的日期，例如 1 或 28。
返回值：
这一年的第几天，例如 1 表示第一天，31 表示最后一天。
"""
# 将日期转换为 0 表示公元前，1 表示公元
year = int(year)
month = int(mo... | EricaCarrie/my-project | calculate_day_of_year.py | calculate_day_of_year.py | py | 1,045 | python | zh | code | 0 | github-code | 1 |
21483496951 | import pandas as pd
import csv
import numpy as np
class dataset:
mobile = None
steam = None
def __init__(self):
'''
load raw data from csv files
'''
self.mobile = pd.read_csv('../data/appstore_games.csv')
self.steam = pd.read_csv('../data/steam.csv')
def process(self):
'''
process raw data and sa... | stupidT/ECE143-WI2020-Group7 | src/datafile.py | datafile.py | py | 3,718 | python | en | code | 0 | github-code | 1 |
27957425720 | import numpy as np
from itertools import product
import random
class TicTacToe():
def __init__(self, N):
self.coords_list = [[0,0],[0,1],[0,2],[1,0],[1,1],[1,2],[2,0],[2,1],[2,2]]
self.alpha = 0.1
self.initialize_V()
self.eps = 0.1
self.games_won = 0
... | mjauza/AI_reinforcement_learning | tic-tac-toe.py | tic-tac-toe.py | py | 9,383 | python | en | code | 0 | github-code | 1 |
40162630815 | # -*- coding: utf8 -*-
#-------------------------------------------------------------------------------
# Name: module1
# Purpose:
#
# Author: glycine
#
# Created: 13/01/2013
# Copyright: (c) glycine 2013
# Licence: <your licence>
#--------------------------------------------------------... | glycine/autoEncode | src/splitTs.py | splitTs.py | py | 10,355 | python | en | code | 1 | github-code | 1 |
39515075186 | from synapse_pay_rest.models.nodes import *
from synapse_pay_rest import User
from synapse_pay_rest import Client
from synapse_pay_rest import Node
from synapse_pay_rest import Transaction
from lib.wyre import wyre
import logging, graypy
import os, json
import threading
from requests import get
from pymongo import Mong... | todinhtan/vba_creator | create_transfer_queue.py | create_transfer_queue.py | py | 5,797 | python | en | code | 0 | github-code | 1 |
22296950181 | from xml.etree.ElementTree import Element, SubElement, tostring
import os
mapLocal = Element('mapLocal')
toolEnabled = SubElement(mapLocal, 'toolEnabled')
toolEnabled.text = 'true'
mappings = SubElement(mapLocal, 'mappings')
webuiPath = '/Users/Ethan/QAD/src/service/webui/erp-service-webui'
resourceRelativePath = '/s... | putin266/worktools | localMapGen/gen.py | gen.py | py | 1,530 | python | en | code | 0 | github-code | 1 |
34856065220 |
import seaborn as sns
import os
import pandas as pd
from IPython.display import Image
import json
import numpy as np
import natsort
from google.colab.patches import cv2_imshow
import cv2
import warnings
warnings.filterwarnings("ignore")
import matplotlib.pyplot as plt
from mtcnn import MTCNN
def get_video_Path(video... | khoatran02/Liveness_detection | crop_face.py | crop_face.py | py | 5,738 | python | en | code | 0 | github-code | 1 |
15971175771 | from base import BasicCalculation, Input
from aiida.orm import DataFactory
class NscfCalculation(BasicCalculation):
'''
Runs VASP with precalculated (from scf run) wave functions and charge densities.
Used to obtain bandstructures, DOS and wannier90 input files.
'''
charge_density = Input(types='v... | greschd/aiida-vasp | aiida/orm.calc.job.vasp/nscf.py | nscf.py | py | 5,256 | python | en | code | null | github-code | 1 |
19025286012 | from pprint import pprint
import numpy as np
import pandas as pd
from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor
from sklearn.metrics import roc_auc_score, r2_score, f1_score, recall_score, precision_score
from sklearn.model_selection import TimeSeriesSplit
from imblearn.over_sampling import... | vcerqueira/actionable_forecasting | experiments/forecasting_extremes.py | forecasting_extremes.py | py | 5,070 | python | en | code | 0 | github-code | 1 |
73948947872 | # -*- coding: utf-8 -*-
"""
Created on Fri Nov 6 16:45:52 2020
@author: gumcbrid
"""
import os
import numpy as np
import matplotlib.pyplot as plt
import time
import sys
import logging
sys.path.append(r'C:\Program Files (x86)\Keysight\SD1\Libraries\Python')
import keysightSD1 as key
import pulses as pulseLab
impor... | GuyMcBride/KeysightQuadLO | QuadLO.py | QuadLO.py | py | 19,243 | python | en | code | 0 | github-code | 1 |
31348168038 | import pandas as pd
import numpy as np
import tensorflow as tf
import random
import keras
from keras.callbacks import EarlyStopping
from keras import optimizers
import matplotlib.pyplot as plt
# read training data
print("Reading data...")
trainingData_RAW = pd.read_csv("optdigits/optdigits.tra",dtype = np.int32, hea... | jhtrzcinski/NN_Sandbox | Lab2_convoluted.py | Lab2_convoluted.py | py | 4,477 | python | en | code | 1 | github-code | 1 |
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