content stringlengths 5 1.05M |
|---|
def intro():
print("Ctrl Everything")
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.4'
# jupytext_version: 1.1.5
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # s_di... |
from setuptools import setup
setup(
name = "greeksyntax",
version = "0.1.dev0",
license = "Apache 2.0",
author = "Jonathan Robie",
author_email = "jonathan.robie@biblicalhumanities.org",
packages = ["greeksyntax"],
package_data = {
"greeksyntax" : "greeksyntax/*.css",
},
install_re... |
import pytest
from tempfile import NamedTemporaryFile
@pytest.fixture
def temp_db_file():
with NamedTemporaryFile('w', buffering=1) as temp_file:
yield temp_file
@pytest.fixture
def temp_csv_file():
with NamedTemporaryFile('w', buffering=1, suffix='.csv') as temp_file:
yield temp_file
@pyt... |
import math
import matplotlib
from ai2thor.controller import Controller
matplotlib.use("TkAgg", warn=False)
from PIL import Image, ImageDraw
import copy
import numpy as np
class ThorPositionTo2DFrameTranslator(object):
def __init__(self, frame_shape, cam_position, orth_size):
self.frame_shape = frame_... |
from panther_base_helpers import deep_get
def policy(resource):
return deep_get(resource, 'SSEDescription', 'Status') == 'ENABLED'
|
from PIL import Image, ImageDraw, ImageFont, ImageFilter
from random import randint
def generate_captcha():
# Generate one letter
def gen_letter():
return chr(randint(65, 90))
def rndColor():
return (randint(64, 255), randint(64, 255), randint(64, 255))
def rndColor2():
retur... |
import pandas as pd
import os
from csv import writer
dataset = pd.read_csv("All_Year_Player_Points_IPL.csv")
rows = dataset.shape[0]
# players = {}
# print(rows)
for i in range(0, rows):
name = " ".join(dataset["PLAYER"][i].split()) + ".csv"
name = name.replace(" ", "_")
# print(name)
data = [dataset["... |
class KnownError(Exception):
def __init__(self, message: str, detail: str = ""):
self.detail = detail
self.message = message
|
from itertools import permutations
def read_input(input_file):
with open(input_file, "r") as f:
return [i for i in f.readlines()]
def parse_segment(input: str):
return [tuple(l.split(" ")) for l in input.replace("\n", "").split(" | ")]
def get_numbers_of_unique_segments(input_file: str):
lines... |
import numpy as np
import time
from meta_mb.logger import logger
import gym
from gym import error, spaces
from meta_mb.meta_envs.base import MetaEnv
from blue_interface.blue_interface import BlueInterface
class BlueReacherEnv(MetaEnv, BlueInterface, gym.utils.EzPickle):
def __init__(self, side='right', ip='127.0.... |
# The MIT License (MIT)
# Copyright (c) 2021 Tom J. Sun
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, ... |
from copy import deepcopy
# class AvoidPartnerPassDominoesBehavior:
# class SeekEnemyPassDominoesBehavior:
class GreedyDominoesBehavior:
def __init__(self):
pass
def update_world_state(self, world_state, event, value):
return world_state
def eval(self, action, world_state):
i... |
import platform
import os
import time
# numpy/opencv
import numpy as np
import cv2 as cv
import pandas as pd
import bokeh
from bokeh.io import curdoc
from bokeh.events import SelectionGeometry
from bokeh.models import ColumnDataSource, HoverTool, Button, Div, BoxSelectTool, CustomJS
from bokeh.plotting import figure... |
from xendit.models._base_model import BaseModel
class InvoiceRetailOutlet(BaseModel):
"""EWallet data detail in Invoice (API Reference: Invoice)
Attributes:
- ewallet_type (str)
"""
ewallet_type: str
|
# -*- coding: utf-8 -*-
"""
Copyright (c) 2020, Ernest Iu
Created by the Plotnikov Lab at the University of Toronto
Email Contacts:
Ernest Iu: ernest.iu@mail.utoronto.ca
Sergey Plotnikov: sergey.plotnikov@utoronto.ca
This script is part of a software designed for the analysis of cell
spreading assays. This softwa... |
import numpy as np
import os
import struct
# import matplotlib.pyplot as plt
from nn import *
from layers import *
from functions import *
#
def loadMnist(path, kind='train'):
'''
import the MNIST dataset from path, which is the path of the folder
kind should be either 'train', which is the training set o... |
from SingletonProcess import SingletonProcess, block
from time import sleep
def printListSlow(l: list):
for item in l:
print(item)
sleep(1)
@SingletonProcess
def printListMP(l: list):
for item in l:
print(item)
sleep(1)
if __name__ == "__main__":
print("No Multiprocessing:... |
# encoding: utf-8
"""
一个用于调试的WSGI App
"""
import os
import time
import random
import threading
from flask import Flask, request, g
from flask_redis import FlaskRedis
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import Column
from sqlalchemy import func, text as _text
TMP_LIST = []
class Application(obj... |
# Lint as: python2, python3
"""Specification of a training cluster."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from REDACTED.transformer_lingvo.lingvo.core import cluster as lingvo_cluster
import numpy as np
from six.moves import range
class _Clus... |
from scipy import stats
import matplotlib.pyplot as plt
fig = plt.figure()
ax1 = fig.add_subplot(211)
x = stats.loggamma.rvs(5, size=500) + 5
prob = stats.probplot(x, dist=stats.norm, plot=ax1)
ax1.set_xlabel('')
ax1.set_title('Probplot against normal distribution')
ax2 = fig.add_subplot(212)
xt, _ = stats.boxcox(x)
... |
# It's important that these modules are imported automatically,
# so that their classes are registered with KnownArchivedObject and KnownStruct.
from . import nextstep # noqa: F401
from . import appkit # noqa: F401
from . import foundation # noqa: F401
|
# shows how linear regression analysis can be applied to moore's law
#
# notes for this course can be found at:
# https://deeplearningcourses.com/c/data-science-linear-regression-in-python
# https://www.udemy.com/data-science-linear-regression-in-python
# transistor count from: https://en.wikipedia.org/wiki/Transistor_... |
# from pathlib import Path
# from text_utils.ipa2symb import IPAExtractionSettings
# from text_utils.language import Language
# from text_utils.text import EngToIpaMode
# def test_app_merge(tmp_path: Path):
# base_dir = tmp_path / "base_dir"
# text_path = tmp_path / "input.txt"
# text_path.write_text("line1\nl... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
from threading import Thread
from flask import Flask
from flask import flash
from flask import redirect, render_template, url_for, session
from flask_bootstrap import Bootstrap
from flask_mail import Mail, Message
from flask_migrate import Migrate, Mig... |
# 递归函数, 自己调用自己
# count = 1
# def func():
# global count
# print('admin是很帅的', count)
# count = count + 1
# func()
# func()
# 递归深度. 你可以自己调用自己的次数.官方文档中递归最大深度是1000. 在这之前就会给你报错
# 遍历 D:/sylar文件夹, 打印出所有的文件和普通文件的文件名
import os
def func(filepath, n): # fullStackPython/p1_basic/day01_07base/
# 1,打开这个文件夹
... |
# Time: O(logn + k)
# Space: O(1)
import bisect
class Solution(object):
def findClosestElements(self, arr, k, x):
"""
:type arr: List[int]
:type k: int
:type x: int
:rtype: List[int]
"""
i = bisect.bisect_left(arr, x)
left, right = i-1, i
wh... |
# coding: utf-8
from models.models import Group
from models.models import Person
from random import randrange
def test_add_group(app):
old_groups = app.object.get_group_list()
group = Group(name="test progon",
header="jhvgvhgv",
footer="khgcvkvv",
)
a... |
import sys
def main(message):
print message
print('hello world')
|
class Televisao:
def __init__(self):
self.ligada = False
self.canal = 2
def muda_canal_para_baixo(self):
self.canal -= 1
def muda_canal_para_cima(self):
self.canal += 1
tv = Televisao()
print tv.muda_canal_para_cima()
print tv.muda_canal_para_cima()
print tv.canal
|
# https://codeforces.com/problemset/problem/677/A
n, h = [int(x) for x in input().split()]
heights = list(map(int, input().split()))
total = 0
for height in heights:
if height > h:
total += 2
else:
total += 1
print(total)
|
from typing import List
from pathlib import Path
import time
from selenium.webdriver.firefox.webdriver import WebDriver
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expec... |
"""General functions for string transformations."""
def convert_chemformula(string):
"""
Convert a chemical formula string to a matplotlib parsable format (latex).
Parameters
----------
string or Adsorbate: str
String to process.
Returns
-------
str
Processed string.
... |
import torch
import PIL
import os
import copy
import numpy as np
from torch import nn
import matplotlib.pyplot as plt
from torchvision import transforms
from skimage import io
# Some basic setup:
# Setup detectron2 logger
import detectron2
from detectron2.utils.logger import setup_logger
setup_logger()
# import some ... |
"""
Copyright (c) 2022 Huawei Technologies Co.,Ltd.
openGauss is licensed under Mulan PSL v2.
You can use this software according to the terms and conditions of the Mulan PSL v2.
You may obtain a copy of Mulan PSL v2 at:
http://license.coscl.org.cn/MulanPSL2
THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, W... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
URL scraping API.
This module contains utility functions to extract (scrape) URLs from data.
Currently only HTML and plain text data are supported.
"""
__license__ = """
GoLismero 2.0 - The web knife - Copyright (C) 2011-2014
Golismero project site: https://github.c... |
import json
def test_availability_register_product(client):
res = client.get('/product/1')
assert res.status_code == 200
def test_availability_get_all_available_products(client):
res = client.get('/products/available')
assert res.status_code == 200
def test_availability_get_all_sold_products(clien... |
function keyRename(array $hash, array $replacements) {
foreach($hash as $k=>$v)
if($ok=array_search($k,$replacements))
{
$hash[$ok]=$v;
unset($hash[$k]);
}
return $hash;
} |
from bs4 import BeautifulSoup
soup = BeautifulSoup("<html>a web page</html>", 'html.parser')
# Tag object
tag = soup.html
print(type(tag))
print(tag)
# tag name
print(tag.name)
# the tag name can be set
tag = BeautifulSoup('<b id="boldest">bold</b>', 'html.parser').b
print(tag['id'])
# or
print(tag.attrs)
tag['id']... |
"""
Contains `RNN`: a simple wrapper for training `fn(state, *args) → state` functions.
Run this file to test it.
Usage example:
```python
import torch
import torch.nn as nn
class OnlyFirstArg(nn.Module):
def __init__(self, fn):
super(OnlyFirstArg, self).__init__()
self.fn = fn
def forward(se... |
#!/usr/bin/env python
# Copyright (c) 2014 Palantir Technologies
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy,... |
import abc
class WorkerTask(abc.ABC):
async def start_task(self, *args, **kwargs):
raise NotImplementedError
def is_task_active(self):
raise NotImplementedError
def set_task_status(self):
raise NotImplementedError
|
import discord
from discord.ext import commands
class other(commands.Cog):
def __init__(self, client):
self.client = client
@commands.command(aliases=["pfp"])
async def profile(self, ctx, user: discord.User):
'''Fetch a user's profile picture'''
await ctx.send(f'Profile image for u... |
"""test module for cal functions"""
# imports
import unittest # required for testing
import cal_functions # module under test
class TestCalFunctions(unittest.TestCase):
"""class to test functions in cal functions"""
def test_add(self):
"""add function test"""
self.assertEqual(cal_... |
import os
import re
import pickle
import configparser
DB_DIR = os.path.realpath(os.environ.get('DB_DIR', './db'))
BASE = {
'edux': os.path.join(DB_DIR, 'edux'),
'user': os.path.join(DB_DIR, 'user'),
}
EXT = '.txt'
USER = {
'config': '' + EXT,
'feed': '_feed.p',
}
EDUX = {
'pages': 'edux' + EXT,
... |
from math import sqrt
def quad(a, b, c):
delta = b*b -4 * a * c
if a == 0:
print("Om a = 0 så är det inte en andragradsekvation, vänligen ange ett annat värde för a")
elif delta < 0:
print("Det finns inga reella lösningar för denna andragradsekvation")
elif delta == 0:
print("x = {}".format(-b/(2*a... |
from NodeAndEdge import Node,Edge
import xml.etree.ElementTree as ET
import os
import numpy as np
import pandas as pd
import pickle
from Graph import Graph, creategraph
if __name__=='__main__':
filelist = [file for file in os.listdir('Instances/')]
#graphs = [creategraph('Instances/' + file) for file in os.li... |
from django.db import models
from account_info.models import User
"""
from wallet_info.models import Wallet
from task_info.models import Task
from accept_task_info.models import AcceptTask
Create your models here.
"""
class Wallet(models.Model):
# walletID = models.AutoField(unique=True, primary_key=True)
balan... |
import asyncio
from typing import Optional, Iterator
import discord
from discord.ext import commands
class TTTGame:
def __init__(self, ctx: commands.Context, player_2: discord.Member) -> None:
self.ctx = ctx
self.player_1 = ctx.author
self.player_2 = player_2
self.curr... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import gym
import numpy as np
class GenericMujocoEnv:
"""This class evaluates policy of OpenAI Gym environment.
Parameters
--... |
from protos import interface_pb2_grpc as interface
from protos import interface_pb2 as itf_msg
class Explorer(interface.ExplorerServicer):
def __init__(self, directory):
self._directory = directory
def StrategyList(self, request, context):
with self._directory.read() as d:
strategi... |
from django.urls import path
from django.conf import settings
from django.conf.urls.static import static
from django.contrib import admin
from . import views
urlpatterns = [
path('', views.index, name='index'),
]
if settings.DEBUG:
urlpatterns += static(settings.MEDIA_URL,
doc... |
from edi_835_parser import parse
from edi_835_parser import find_edi_835_files
from log_conf import Logger
input_dir = 'input'
output_dir = 'output/remits_poc'
files = find_edi_835_files(input_dir)
for file in files:
file_path = f'{input_dir}/{file}'
transaction_set = parse(file_path)
remits_df = transaction_s... |
# =============================================================================
# # -*- coding: utf-8 -*-
# """
# Created on Sat Aug 4 12:15:42 2018
#
# @author: cui
# """
# 18. 4Sum
# Given an array nums of n integers and an integer target, are there elements a, b, c, and d in nums such that a + b + c + d = target? ... |
# pyncoin/transaction.py
''' Implements a cryptocurrency transaction. '''
import functools
import hashlib
from decimal import Decimal
import ecdsa
from utils import RawSerializable, bytes_to_int, int_to_bytes, bytes_to_hex, hex_to_bytes
from utils import BadRequestError, UnauthorizedError
def get_public_key(private... |
#Author:Huangliang
#Time:2018/5/5
import cv2
import numpy as np
import random
from tkinter.filedialog import *
import tkinter as tk
import tkinter.messagebox
def load_images(dirname, amout = 9999): #默认有9999张图片
img_list = []
file = open(dirname) #只读，把dirname加载到内存，用file接收，.lst文件估计是文本文件
img_name = file.... |
# Generated by Django 2.2 on 2019-03-05 16:20
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('gameApp', '0002_auto_20190305_1620'),
]
operations = [
migrations.RenameField(
model_name='usermodel',
old_name='dateaccountcr... |
"""
Train a DeepLabV3 segmentation network
Ref: https://pytorch.org/hub/pytorch_vision_deeplabv3_resnet101/
Paper: https://arxiv.org/pdf/1802.02611v3.pdf
"""
import torch
import torch.nn as nn
from torchvision import models
class DeepLabV3(nn.Module):
def __init__(self, num_classes=1, pretrained=True):
su... |
import sys
import math
from collections import defaultdict, deque
sys.setrecursionlimit(10 ** 6)
stdin = sys.stdin
INF = float('inf')
ni = lambda: int(ns())
na = lambda: list(map(int, stdin.readline().split()))
ns = lambda: stdin.readline().strip()
dx = defaultdict(int)
dy = defaultdict(int)
for i in range(3):
... |
"""Adding flagged individuals.
Revision ID: 9293ade6aa95
Revises: 9ed4811a814d
Create Date: 2020-03-04 01:42:27.071216
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '9293ade6aa95'
down_revision = '9ed4811a814d'
branch_labels = None
depends_on = None
def upg... |
# Resource object code (Python 3)
# Created by: object code
# Created by: The Resource Compiler for Qt version 6.2.3
# WARNING! All changes made in this file will be lost!
from PySide6 import QtCore
qt_resource_data = b"\
\x00\x00H\xc6\
<\
?xml version=\x221.\
0\x22 encoding=\x22UTF\
-8\x22 standalone=\x22\
no\x22?>\... |
#!/usr/bin/env python3
import numpy as np
import pandas as pd
import os
test_dir = './results/em_results'
sample = []
unit = []
condition = []
for file in os.listdir(test_dir):
if file.endswith(".counts"):
sample.append(file)
else:
pass
for i in range(len(sample)):
base = os.path.sp... |
# Generated by Django 3.2.11 on 2022-01-24 10:57
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("main", "0059_alter_financialinformation_area_of_work"),
]
operations = [
migrations.AlterField(
model_name="financialinformatio... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import logging
import argparse
import collections
import os
from Bio import SeqIO
def main(param):
logger = logging.getLogger()
logging.basicConfig(level=param.loglevel, format='%(asctime)s (%(relativeCreated)d ms) -> %(levelname)s:%(message)s', datefmt='%I:%M... |
import os, secrets
key=secrets.token_urlsafe(32)
basedir = os.path.abspath(os.path.dirname(__file__))
class Config(object):
DEBUG=True
#TESTING=False
SECRET_KEY = key
SQLALCHEMY_TRACK_MODIFICATIONS=False
SQLALCHEMY_DATABASE_URI = ''
class DevelopmentgConfig(Config):
DEBUG=True
SQLALCHEMY_T... |
# _*_ coding: utf-8 _*_
"""
password-validate.utils
-----------------------
This module provides utility functions that are used within password_validate
that are also useful for external consumption.
"""
import hashlib
from os.path import abspath, dirname, join
DICTIONARY_LOC = "dictionary_files"
DICTIONARY = "dicti... |
# This Python file uses the following encoding: utf-8
"""Production application config."""
import os
DEBUG = False
TESTING = False
GITHUB_OAUTH_CLIENT_ID = os.environ.get('GITHUB_OAUTH_CLIENT_ID')
GITHUB_OAUTH_CLIENT_SECRET = os.environ.get('GITHUB_OAUTH_CLIENT_SECRET')
SECRET_KEY = os.environ.get('SECRET_KEY')
|
from ._internal.frameworks.easyocr import load
from ._internal.frameworks.easyocr import save
from ._internal.frameworks.easyocr import load_runner
__all__ = ["load", "load_runner", "save"]
|
from clock import start_clock
from worker import start_worker
|
import torch.nn as nn
class ResNetTrunk(nn.Module):
"""
Adapted from https://github.com/xu-ji/IIC/blob/master/
"""
def __init__(self):
super(ResNetTrunk, self).__init__()
def _make_layer(self, block, planes, blocks, stride=1):
downsample = None
if stride != 1 or self.inpla... |
"""
Program to find LCM of two numbers
recursive function to return gcd of a and b
"""
def gcd(a: int, b: int) -> int:
if a == 0:
return b
return gcd(b % a, a)
# function to return LCM of two numbers
def lcm(a: int, b: int) -> float:
return (a / gcd(a, b)) * b
if __name__ == '__main__':
a ... |
'''Exercicio 4: Uma pista de Kart permite 10 voltas para cada um de 6 corredores.
Escreva um programa que leia todos os tempos em segundos e os guarde em um
dicionário, onde a chave é o nome do corredor. Ao final diga de quem foi a melhor volta
da prova e em que volta; e ainda a classificação final em ordem (1o o campe... |
import streamlit as st
from requests_toolbelt.multipart.encoder import MultipartEncoder
import requests
from PIL import Image
import io
import zipfile
import glob
import os
import json
st.title('MoroccoAI Data Challenge : Automatic Number Plate Recognition (ANPR) in Morocco Licensed Vehicles.')
# fastapi endpoint
url... |
from utils import read_file
def calc_parents(connections, node):
if node == 'COM':
return 0
else:
return 1 + calc_parents(connections, connections[node])
def get_connections(map_):
connections = {}
for line in map_:
from_, to_ = line.split(')')
connections[to_] = from... |
#!/usr/bin/env python3
"""Nickel and Dime"""
import argparse
import os
import random
import sys
# --------------------------------------------------
def get_args():
"""Get command-line arguments"""
parser = argparse.ArgumentParser(
description='Argparse Python script',
formatter_class=argpar... |
def swap():
input1=input("enter file name 1:")
input2=input("enter file name 2:")
u = open(input2,"r")
v = open(input1,"r")
data_u = u.read()
data_v = v.read()
u = open(input2,"w")
u.write(data_v)
v = open(input1,"w")
v.write(data_u)
swap() |
from typing import Dict
from typing import Tuple
from typing import Union
import hypothesis.strategies as st
from myrtlespeech.protos import eval_config_pb2
from tests.protos.test_dataset import datasets
from tests.protos.utils import all_fields_set
# Fixtures and Strategies ----------------------------------------... |
__all__ = ["craw_reviews"]
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# Standard modules
import os
import math
# Third-party modules
import numpy
import matplotlib
from mpl_toolkits.axes_grid1 import make_axes_locatable
import matplotlib.pyplot as plt
try:
import weblogo
# Weblogo compatibility
# With version < 3.5, the col... |
from numpy import *
def encrypt():
cnt=0
j=0
for i in range(len(plaintext)):
if(cnt%2==0):
m[j,i]=plaintext[i]
j+=1
if(j==depth-1):
cnt+=1
continue
else:
m[j,i]=plaintext[i]
... |
from vanilla.vanillaBase import VanillaBaseObject, VanillaBaseControl, VanillaError
from vanilla.vanillaBox import Box, HorizontalLine, VerticalLine
from vanilla.vanillaBrowser import ObjectBrowser
from vanilla.vanillaButton import Button, SquareButton, ImageButton, HelpButton
from vanilla.vanillaCheckBox import CheckB... |
# -*- coding: utf-8 -*-
"""
Natural language processing
===========================
Provides a wrapper around NLTK to extract named entities from HTML text::
from coaster.utils import text_blocks
from coaster.nlp import extract_named_entities
html = "<p>This is some HTML-formatted text.</p><p>In two par... |
from scrapy.commands.list import Command as BaseCommand
class Command( BaseCommand ):
def syntax( self ):
return "[options|<pattern>]"
def short_desc( self ):
return "List available spiders matched with pattern if provided."
def add_options( self, parser ):
super( Command, self ).add_options( parser )
pa... |
import re
def email(value):
"""Validate an email address
>>> email("barney@purpledino.com")
True
>>> email("barneydino.com")
'An email address must contain a single @'
"""
usernameRE = re.compile(r"^[^ \t\n\r@<>()]+$", re.I)
domainRE = re.compile(r'''
^(?:[a-z0-9][a-z0-9\... |
import scrapy
class ArticleSpider(scrapy.Spider):
name = 'article'
def start_requests(self):
urls = [
'http://sz.to8to.com/zwj/']
return [scrapy.Request(url=url, callback=self.parse) for url in urls]
def parse(self, response):
url = response.url
title ... |
# %%
import pandas as pd
import math
import os.path
import time
from binance.client import Client
from datetime import timedelta, datetime, timezone
from dateutil import parser
from tqdm import tqdm_notebook # (Optional, used for progress-bars)
import json
import requests
import pandas as pd
### CONSTANTS
binsizes... |
import tensorflow as tf
from keras.models import Sequential
from keras.layers import Convolution2D
from keras.layers import MaxPooling2D
from keras.layers import Flatten
from keras.layers import Dense
classifier=Sequential()
#convolution
classifier.add(Convolution2D(32,3,3,input_shape=(64,64,3) , activation='re... |
'''
Demo code for imaging through turbulence simulation
Z. Mao, N. Chimitt, and S. H. Chan, "Accerlerating Atmospheric Turbulence
Simulation via Learned Phase-to-Space Transform", ICCV 2021
Arxiv: https://arxiv.org/abs/2107.11627
Zhiyuan Mao, Nicholas Chimitt, and Stanley H. Chan
Copyright 2021
Purdue Uni... |
from django import forms
from .models import Idea
from .models import Comments
class Blog_creation(forms.ModelForm):
class Meta:
model=Idea
fields=['title','content','date_posted','tag_name']
class Comment(forms.ModelForm):
class Meta:
model=Comments
fields=['description']
#... |
#!/usr/bin/env python
from nephoria.testcase_utils.cli_test_runner import CliTestRunner, SkipTestException
from cloud_utils.log_utils import get_traceback, red, ForegroundColor, BackGroundColor, markup
from cloud_utils.net_utils.remote_commands import RemoteCommands
from cloud_utils.net_utils.sshconnection import SshC... |
from conduit import *
import nose
def verify_array(value):
inputs = {'value': value}
array = [0,1,2,3]
for element in array:
nose.tools.assert_equal(inputs['value'], element)
inputs = yield
def incremental_generator_with_output():
array = [0,1,2,3]
for value in array:
yie... |
import os
import argparse
import pandas as pd
import numpy as np
import time
from collections import Counter
def save_preds(source, dataset, output):
df = pd.read_csv(dataset)
ids = df['Id'].values.tolist()
preds = ['Id,Category']
label_dict = {
0: 'Negativo',
1: 'Neutro',
2: '... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Created by tz301 on 2020/05/20
"""Converter module."""
|
import pandas as pd
import numpy as np
import random
def train_data_generator():
r_src = "/home/LAB/zhuxk/project/data/ER-dataset-benchmark/ER/DBLP-ACM/origin/DBLP2.csv"
l_src = "/home/LAB/zhuxk/project/data/ER-dataset-benchmark/ER/DBLP-ACM/origin/ACM.csv"
map_src = "/home/LAB/zhuxk/project/data/ER-dat... |
def list_to_string(strings: [str]) -> str:
return '\n'.join(strings)
|
import random, sys, math
caseno = dict()
PROBID = "smallschedule"
MAXQ = 1000
MAXL = MAXS = MAXM = 1000000
# The first argument is a short string describing the "type" of data
# (eg. sample, hand, random), the rest have the test case data.
#
# This will generate the file in the data directory, putting type "sample"... |
#!/usr/bin/env python
# Copyright (c) 2018-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import os
import sys
import torch
from console_lib import GoConsoleGTP
from rlpytorch import E... |
# 15/15
tp = int(input())
pop = int(input())
dmo = sorted(map(int, input().split()))
peg = sorted(map(int, input().split()))
pairs = []
for index in range(pop):
if tp == 1:
pairs.append([dmo[index], peg[index]])
elif tp == 2:
pairs.append([dmo[index], peg[(-1 * index) - 1]])
total = sum(map... |
from autoconf import conf
import autoarray as aa
import numpy as np
from autogalaxy.galaxy import galaxy as g
from autolens.pipeline.phase import dataset
class Result(dataset.Result):
@property
def max_log_likelihood_fit(self):
return self.analysis.positions_fit_for_tracer(
tr... |
from imhotep.diff_parser import DiffContextParser
diff = """diff --git a/foo.py b/foo.py
new file mode 100644
index 0000000..78ce7f6
--- /dev/null
+++ b/foo.py
@@ -0,0 +1,7 @@
+class Foo(object):
+ pass
+
+class Bar(object):
+ pass
+
+print "Works";
"""
def test_file_adds_arent_off():
parser = DiffContextParse... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.