content stringlengths 5 1.05M |
|---|
import numpy as np
import cv2
rect= np.ones((600,800, 3), dtype = np.uint8)*255
cv2.rectangle(rect, (0, int(600/2)), (int(800/2),599), (0,0,255), 18)
cv2. imshow("image" ,rect)
cv2.waitKey()
cv2.destroyAllwindows()
cv2.rectangle(rect,(int (800/2),0), (799, int (600/2)), (0,255,0), -1)
cv2.imshow("image", rect)
cv2.wa... |
import Pokemon as pok
import GeneticAlgorithm as gen
import Species as sp
import unittest
class TestDamageMult(unittest.TestCase):
"""
Test the damage multiplier function from the Pokemon library
"""
def test_super_duper_effective(self):
"""
Test that attacking with 4x effectiveness wi... |
"""
Participant
===========
Complement to a Neptune participant, scoped to a classroom.
"""
import logging
import re
import unicodedata
from model import SqlModel, SqlField as Field
import mysql_connection
class Participant(SqlModel):
table = 'participant'
py_table_definition = {
'table_name': tabl... |
#!/usr/bin/env python
#
# License: BSD
# https://raw.githubusercontent.com/stonier/py_trees/devel/LICENSE
#
##############################################################################
# Documentation
##############################################################################
"""
.. argparse::
:module: py_tr... |
import functools
import logging
import traceback
import prosperpy
LOGGER = logging.getLogger(__name__)
def fatal(func):
@functools.wraps(func)
async def wrapper(*args, **kwargs):
try:
return await func(*args, **kwargs)
except Exception as ex:
LOGGER.fatal("Error '%s' ... |
from django.contrib import admin
from .models import (Dish, Payments, Order, Delivery, OrderItem)
admin.site.register(Dish)
admin.site.register(Payments)
admin.site.register(Order)
admin.site.register(Delivery)
admin.site.register(OrderItem)
|
import requests
def get_api_json(target_url, api_id, api_secret):
"""make get request to Socrata Chicago Data Portal API
Parameters
----------
target_url : str
a validly formed URL string
api_id : str
API key id for HTTP basic auth
api_secret : str
API secret passcode ... |
#
# PySNMP MIB module EXPRESSGS-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/EXPRESSGS-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:07:05 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 201... |
import UserManager
import PostManager
from UserManager import getUser
from sports.XMLOddsParser import parseXMLOdds
from models import TipForm, PostForm
from random import randint
from Utils import random_list_element
from sports.sportsPopulator import simulate_sports_results
import ChatManager
users = ["A... |
#!/usr/bin/env python3
# Record mouse and keyboard actions and reproduce them identically at will
#
# Copyright (C) 2019 Mairo Rufus <github@rmpr.xyz>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Found... |
import random
game_list=['stone','paper','scissor']
computer = 0
user = 0
c=0
p=0
while(True):
user=input("Enter Stone , Paper , scissor or Quit")
computer=random.choice(game_list)
if(user=="Quit"):
break
elif(user==computer):
print('Tie')
elif(user=='stone')... |
import cv2
import numpy as np
'''
特徵點檢測
'''
'''
As usual, we have to create an ORB object with the function, cv2.ORB() or using feature2d common interface.
It has a number of optional parameters.
Most useful ones are nFeatures which denotes maximum number of features to be retained (by default 500),
scoreType whic... |
import os
import logging
import socket
import struct
logger = logging.getLogger(__name__)
extra = {}
def get_extra():
if len(extra) == 0:
acquire_outside_env()
return extra
def acquire_outside_env():
extra['options'] = {}
if not os.environ.has_key('TUPLENET_RUNDIR'):
extra['options'][... |
#
# Copyright (C) 2018 Pico Technology Ltd. See LICENSE file for terms.
#
"""
Helper methods for tests, and test configuration information.
"""
import importlib as _importlib
import unittest as _unittest
drivers_to_load = [
'ps2000',
'ps2000a',
'ps3000',
'ps3000a',
'ps4000',
'ps4000a',
'ps... |
from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import compas
import compas_rhino
import compas_rbe
from compas.utilities import XFunc
from compas_rbe.datastructures import Assembly
from compas_rbe.rhino import AssemblyArtist
from compas_rbe.rhino import ... |
import math
import os
import numpy as np
from pathlib import Path
from data_functions import *
from random_forest import *
# printing modifiers
PRINT_BOLD_COLOR = "\033[1m"
PRINT_DISABLE_COLOR = "\033[0m"
def clear_file(file_name):
"""Clear the contents of a file"""
# clear any previous content in the f... |
#!/usr/bin/python3
"""
Rewrites specfiles to fix the %licsens
"""
import argparse
import sys
from pathlib import Path
from subprocess import run
from ..common.helpers import detect_softwarename
from .helpers import detect_specfile, get_source_filename, get_current_version, VERSION_MATCH
from ..librariesio.get_latest_... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 6 23:48:23 2021
first plot:
Example PyLCP library from
https://python-laser-cooling-physics.readthedocs.io/en/latest/examples/MOTs/00_F0_to_F1_1D_MOT_forces.html
Plots spatial depenence.
second plot: plots velocity force components, formula from... |
import sys
input_name = "ex.input.txt"
if "real" in sys.argv:
input_name = "input.txt"
lines = [line.strip() for line in open(input_name, "r")]
positions = None
for line in lines:
digits = list(line)
if positions is None:
positions = [{} for x in range(len(digits))]
for i, digit in enumerat... |
n = int(input('Digite qualquer número inteiro: '))
for tab in range (1, 11):
print(f'{n} x {tab:2} = {n*tab}')
|
from numpy import zeros, pi, sin
from netCDF4 import Dataset
def cdfcurl(u_file, u_var, v_file, v_var, mesh_mask_file, **kwargs):
"""
Note: stolen from Julian Mak at https://github.com/julianmak/NEMO-related.
Compute the curl on something F-points from U and V variables
EDIT: unlike cdfcurl.f90 I did... |
from typing import Any
from torch.utils.data import Dataset
from transformers import BatchEncoding
class PaperDataset(Dataset):
def __init__(self, abstracts: BatchEncoding, titles: BatchEncoding):
# Convert dictionary to T5 input format
self.input_ids = abstracts.input_ids
self.attention_... |
from stdnet import odm
class Element(odm.StdModel):
name = odm.SymbolField()
class CompositeElement(odm.StdModel):
weight = odm.FloatField()
class Composite(odm.StdModel):
name = odm.SymbolField()
elements = odm.ManyToManyField(Element, through=CompositeElement,
... |
# -*- coding: utf-8 -*-
"""
SPDX-FileCopyrightText: Deutsches Zentrum für Luft und Raumfahrt
SPDX-FileCopyrightText: Patrik Schönfeldt
SPDX-License-Identifier: MIT
"""
from ._heat_layers import HeatLayers
from ._heat_exchanger import HeatExchanger
from ._layered_heat_pump import LayeredHeatPump
from ._multi_layer_st... |
"""
byceps.util.export
~~~~~~~~~~~~~~~~~~
Data export as CSV.
:Copyright: 2006-2021 Jochen Kupperschmidt
:License: Revised BSD (see `LICENSE` file for details)
"""
from __future__ import annotations
import csv
import io
from typing import Iterator, Sequence
def serialize_dicts_to_csv(
field_names: Sequence[str... |
#coding=utf-8
import unittest
from Render import Renderer
memo1 = '''
[Metadata]
date: 2015-03-07
title: 你很重要，打比赛已经不行了。我得去造个轮子
[Tags]
categories: python, angularjs, love
difficulty: 5
[Description]
我觉得我已经没有什么潜力可挖了。突然感到有些腻烦。
对于我来说，并不可以谈生活。因为我见到过巫师的水晶球，我向里面看了一眼。
从此不能自拔。
[Process]
# DO NOT EDIT THE THINGS BELOW UNL... |
#! /usr/bin/env python
from enum import Enum
class ObjectIdentifierType(Enum):
F20_20_B=1, 'Small Black Alu. Profile'
F20_20_G=2, 'Small Grey Alu. Profile'
S40_40_B=3, 'Large Black Alu. Profile'
S40_40_G=4, 'Large Grey Alu. Profile'
M20_100=5, 'Bolt'
M20=6, 'Small Nut'
M30=7, 'Large Nut'
R20=8,... |
import sys
import argparse
from io import StringIO
from data import *
class TAWRITER:
def __init__(self, graph, bound=None):
self.graph = graph
self.bound = bound
def threshold_guard(self, threshold, links):
welldefined = " && ".join(map(lambda x: "out{0} < 2".format(x), links))
... |
from solc import install_solc
install_solc('v0.4.19')
|
from utils import (
Time,
typedef
)
from constants import TIME_FORMAT
import copy
class Person(object):
"""
A base class for all people
"""
def __init__(self, name, languages, gender):
"""
Initialize the Person object
:param name: A string representing the name
... |
from django.conf import settings
from rest_framework.routers import DefaultRouter, SimpleRouter
from krankit.users.api.views import UserViewSet
from krankit.blog.api.views import PostViewSet
if settings.DEBUG:
router = DefaultRouter()
else:
router = SimpleRouter()
router.register("users", UserViewSet)
router... |
from src.utils import get_title, get_crystal
class TestUtils:
JEDI = "Jedi"
SITH = "Sith"
OBSIDIAN = "Obsidian"
GEM = "Dragite gem"
single_type = {
"type": JEDI,
"crystal": OBSIDIAN,
}
array_type = {"type": [JEDI, SITH], "crystal": [OBSIDIAN, GEM]}
def test_get_string... |
# -*- coding: utf-8 -*-
"""
Python implementation of TD Learning (Experimental) for discrete-finite MDPa
Naoto Yoshida
"""
class TDLearning(object):
def __init__(self,
lr=0.05,
discount_rate=0.95,
initial_v_value=0.0,
maximum_state_id=10000):
... |
#!/usr/bin/env python3
"""
Tools for working with virtual machines.
This module provides tools to set up and control virtual machines.
The API is structured to allow allocation of machines from a
'pool' of available machines, like this:
machines = vmtools.pool().request_machines(
[
{"name": "n... |
# -*- coding: utf-8 -*-
#
# Copyright 2011 Manuel Francisco Naranjo <manuel at aircable dot net>
#
# 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/LI... |
from .make_environment import MakeEnvironment
from .explorer import Explorer
|
import torch
from torch import nn
from collections.abc import Iterable
from survae.utils import context_size
from survae.distributions import Distribution, ConditionalDistribution
from survae.transforms import Transform, ConditionalTransform
class ConditionalFlow(ConditionalDistribution):
"""
Base class for C... |
import dash
from dash_html_components import Br, Div
from dash_table import DataTable
from dash_table.Format import Format, Group, Prefix, Scheme, Symbol
app = dash.Dash(__name__)
columns_1 = [
dict(id='a', name='Symbol', type='numeric', format=Format(symbol=Symbol.yes)), # skip-id-check
dict(id='a', name='Sy... |
import numpy as np
class CrossEntropyLoss:
def forward_pass(self, predicted, labels):
predicted = np.clip(predicted, 1e-10, 1 - 1e-10) # probabilities for all classes
predicted_probabilities = predicted[range(len(predicted)), labels] # probabilities of classes equal to labels
log_likelih... |
def minsteps0(n):
if n > 1:
r = 1 + minsteps0(n - 1)
if n % 2 == 0:
r = min(r, 1 + minsteps0(n // 2))
if n % 3 == 0:
r = min(r, 1 + minsteps0(n // 3))
return r
else:
return 0
# print(minsteps0(1))
# print(minsteps0(2))
# print(minsteps0(3))
# prin... |
import pymysql, re
def connect():
db = pymysql.connect(host="212.64.15.***", port=3306, user="hadoop",password="hadoop", database="py_tech", charset="utf8" )
return db
def show_database(db):
with db.cursor() as cursor:
cursor.execute('show databases;')
data = cursor.fetchall()
pr... |
N, D = map(int, input().split())
ppl = list(map(int, input().split()))
for i in range(D):
n = int(input())
F = sum(ppl[:n])
S = sum(ppl[n:])
if F >= S:
print(F)
ppl = ppl[n:]
elif F < S:
print(S)
ppl = ppl[:n]
|
from Robinhood import Robinhood
rb = Robinhood()
rb.login_prompt()
watchlist = rb.watchlist()
symbols = ' '.join([instrument['symbol'] for instrument in watchlist])
print(symbols)
with open("watchlist.txt", "w") as text_file:
text_file.write("{0}".format(symbols))
|
/home/runner/.cache/pip/pool/f3/14/8b/236ff11256ad4f4f630d50ee6b7ebddd65e49babd614f4011e12ece3c6 |
# Authors: Stephane Gaiffas <stephane.gaiffas@gmail.com>
# License: BSD 3 clause
"""
Plot iterations of AMFClassifier
================================
In this examples we illustrate the evolution of the decision function produced by
:obj:`AMFClassifier` along iterations (repeated calls to ``partial_fit``).
"""
import ... |
from struct import pack
from bgapi.base_command import command
from bgapi.utils import address_to_bytes
from bgapi.types import (MessageType, MessageClass)
def get_bt_address():
MSG_TYPE = MessageType.COMMAND_RESPONSE.value
MSG_CLASS = MessageClass.SYSTEM.value
MSG_ID = 0x03
payload = b''
return ... |
from django.db import models
# Create your models here.
class Article(models.Model):
title = models.CharField(max_length=150, verbose_name="Titulo")
content = models.TextField(verbose_name="Contenido")
image = models.ImageField(default='null',verbose_name="Imagen", upload_to = "articles")
public = mod... |
import torch
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from torch.nn.modules.module import Module
from . import mx_correlation_cuda
class MxCorrelationFunction(Function):
@staticmethod
def forward(ctx,
input1,
input2,
... |
# Threading example
import time, thread
import csv
import sys
import urllib, json
googleKey = ''
def parse_csv( field_name, input_csv_file, output_csv_file ):
with open( input_csv_file ) as csv_file:
with open( output_csv_file, 'wb' ) as out_csv_file:
reader = csv.DictReader(csv_file)
... |
from django.core.exceptions import ValidationError
from django.forms import UUIDField
import six
from django.utils.module_loading import import_string
from django.utils.translation import ugettext_lazy as _
from django_smalluuid import settings
class ShortUUIDField(UUIDField):
default_error_messages = {
... |
def mergesort(arr):
if len(arr) <= 1:
return arr
left = arr[:len(arr)/2]
right = arr[len(arr)/2:]
ret = []
if len(left) == 1 and len(right) == 1:
if left[0] < right[0]:
ret.append(left[0])
ret.append(right[0])
else:
ret.append(right[0])
ret.append(left[0])
return ret
if(len(left) != 0):
... |
import re
if __name__ == '__main__':
n = int(input())
s = [input() for _ in range(n)]
t = int(input())
for _ in range(t):
ss = input()
Regex = '\\b' + ss + '\\b'
total = 0
for i in s:
words = re.findall(Regex, i)
total += len(words)
p... |
# Copyright (c) 2015 Mirantis, Inc.
#
# 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 writin... |
from django.db import models
from django.contrib.auth.models import AbstractUser
from django.core.validators import MinLengthValidator as Min
from django.contrib.postgres.fields import ArrayField
from datetime import date
class Course(models.Model):
name = models.CharField(max_length=50)
description = models.C... |
#!/usr/bin/env python2
import sys
import numpy as np
import matplotlib.pyplot as plt
observed = np.array([int(line) for line in sys.stdin])
x = np.arange(1, len(observed) + 1)
plt.plot(x, observed, 'r', linewidth=2)
plt.plot(x, x, 'k')
plt.legend(['HyperLogLog', 'true count'])
plt.show()
|
# -*- coding: utf-8 -*-
"""
taiga_ncurses.ui.widgets
~~~~~~~~~~~~~~~~~~~~~~~~
"""
from . import (
generic, auth, projects, backlog, milestones, issues, wiki
)
|
# Copyright (c) Open-MMLab. All rights reserved.
from .collate import collate
from .data_container import DataContainer
from .data_parallel import MMDataParallel
from .distributed import MMDistributedDataParallel
from .scatter_gather import scatter, scatter_kwargs
from .utils import is_parallel_module
__all__ = [
... |
# Copyright 2020 Huawei Technologies Co., Ltd
#
# 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... |
from PyQt5.QtCore import QSize
from PyQt5.QtWidgets import QMainWindow, QTableWidget, QTableWidgetItem, QDesktopWidget, QWidget
from PyQt5.uic import loadUi
from src.Comunication.View.MailView import MailView
from src.Movements.Controllers.MovementManager import MovementManager
from src.Movements.View.LoanView import ... |
port="COM3"
#
if ('virtual' in globals() and virtual):
virtualArduino = Runtime.start("virtualArduino", "VirtualArduino")
virtualArduino.connect(port)
ard = Runtime.createAndStart("Arduino","Arduino")
ard.connect(port)
#
i2cmux = Runtime.createAndStart("i2cMux","I2cMux")
# From version 1.0.2316 use attach inste... |
import unittest
from random import randint
from bit_manipulation.int32_to_ipv4 import int32_to_ip
class Int32ToIpv4TestCase(unittest.TestCase):
def test_fixed_tests(self):
self.assertEqual(int32_to_ip(2154959208), "128.114.17.104")
self.assertEqual(int32_to_ip(0), "0.0.0.0")
self.assertEq... |
from cc3d import CompuCellSetup
from ReactionDiffusion_2DSteppables import ReactionDiffusion_2DSteppable
CompuCellSetup.register_steppable(steppable=ReactionDiffusion_2DSteppable(frequency=1))
CompuCellSetup.run()
|
import torch
import numpy as np
import cv2
class MixUp:
def __init__(self):
self.distribution = torch.distributions.beta.Beta(torch.tensor([1.2]), torch.tensor([1.2]))
def augment(self, gt, ip):
batch_size = gt.size(0)
idx = torch.randperm(ba... |
# Custom operators
# 25 nov 2018
# AR, AQ, Abdullah
def star_op (firstop, secondop):
return ( firstop * 2) + secondop
def squiggle_op (firstop,secondop):
return firstop**3 + secondop**2
def multidot (op1,op2):
return (op1*4)//op2
print ("8 starop 2 == ", star_op (8,2)) # == 18
print ("3 squiggle 2... |
# Generated by Django 2.0.8 on 2019-06-18 09:59
from django.db import migrations
import wagtail.core.blocks
import wagtail.core.fields
import wagtail.images.blocks
class Migration(migrations.Migration):
dependencies = [
('app_challenges_sections_units', '0018_auto_20190618_0947'),
]
operations ... |
def wave_bases(mother,k,scale,param):
"""
This is translation of wave_bases.m by Torrence and Gilbert P. Compo
The folloing is the original README
% WAVE_BASES 1D Wavelet functions Morlet, Paul, or DOG
%
% [DAUGHTER,FOURIER_FACTOR,COI,DOFMIN] = ...
% wave_bases(MOTHER,K,SCALE,PARAM);
%
% Com... |
from chia.components.evaluators.evaluator import Evaluator
class AccuracyEvaluator(Evaluator):
def __init__(self, kb):
self.correct_count = 0
self.sample_count = 0
def reset(self):
self.correct_count = 0
self.sample_count = 0
def update(self, samples, gt_resource_id, pred... |
# Imports
import numpy as np
import pandas as pd
import seaborn as sns
import pickle
import matplotlib.pyplot as plt
# Use Seaborn data
data = sns.load_dataset("tips")
data = data[["total_bill", "tip"]]
# Look at data layout
print(data.head())
# Statistical Analysis
print(data.describe())
# Visual Check of Data
... |
# Generated by Django 2.1.3 on 2018-11-17 04:51
import datachimp.utils.generate_uid
from django.conf import settings
import django.contrib.postgres.fields.jsonb
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
... |
"""UI module of Colorium's Asset Management Tool. This module creates the UI using Colorium's CUI module."""
import maya.cmds as cmds
import colorium.ui as ui
import colorium.asset_type_definition as asset_type_definition
import colorium.scene_name_parser as scene_name_parser
import colorium.command as command
import ... |
""" Example JupyterHub configuration file with LTI 1.3 settings. """
import os
# Set port and IP
c.JupyterHub.ip = "0.0.0.0"
c.JupyterHub.port = 8000
# Custom base url
c.JupyterHub.base_url = "/"
# Set log level
c.Application.log_level = "DEBUG"
# Add an admin user for testing the admin page
c.Authenticator.admin_... |
from JABWrapper.parsers.parser_if import Parser
from JABWrapper.jab_types import AccessibleContextInfo, AccessibleHypertextInfo, JavaObject, MAX_HYPERLINKS
from JABWrapper.jab_wrapper import JavaAccessBridgeWrapper
class AccessibleHypertextParser(Parser):
def __init__(self, aci: AccessibleContextInfo) -> None:
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import conf.issue_quality_re_patterns as patterns
import conf.issue_quality_keywords as keywords
import re
from BeautifulSoup import BeautifulSoup
from markdown import markdown
from GithubMarkdown import GithubMarkdown
from IssueComment import IssueComment
import codecs
im... |
#To make python 2 and python 3 compatible code
from __future__ import absolute_import
import json
#Returns rectangle boundaries in the CV2 format (topLeftX, topLeftY, bottomRightX, bottomRightY) given by a processing service
class AnnotationParser:
def getCV2RectanglesFromProcessingService1(self, response):
... |
from vnpy.app.cta_strategy import (
CtaTemplate,
StopOrder,
TickData,
BarData,
TradeData,
OrderData,
BarGenerator,
ArrayManager,
)
from datetime import datetime
from vnpy.trader.object import ContractData, SpreadData, Direction, Offset
from vnpy.trader.utility import get_folder_path
impo... |
from datetime import date
from . import GenericCalendarTest
from ..africa import (
Algeria,
Angola,
Benin,
IvoryCoast,
Kenya,
Madagascar,
Nigeria,
SaoTomeAndPrincipe,
SouthAfrica,
)
from ..core import MON, FRI
from ..exceptions import CalendarError
class AlgeriaTest(GenericCalendar... |
"""Python module for accessing SkyQ box and EPG, and sending commands."""
import importlib
import json
import logging
import math
import socket
import time
from collections import OrderedDict
from datetime import datetime, timedelta
from http import HTTPStatus
from operator import attrgetter
import pycountry
import re... |
def test_geneirc():
a = 2
b = 2
assert a!= b |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from __future__ import print_function
from django import forms
class AuthorizeRequestTokenForm(forms.Form):
oauth_token = forms.CharField(widget=forms.HiddenInput)
authorize_access = forms.BooleanField(required=False)
|
import contextlib
import csv
import datetime as dt
import math
import os
import subprocess
import cv2
import keras
import keras.backend as kbe
import keras.callbacks as kcb
import keras.layers as kl
import keras.models as km
import keras.utils as kutils
import matplotlib.pyplot as plt
import numpy as np
import sklearn... |
from predicthq import Client
# Please copy paste your access token here
# or read our Quickstart documentation if you don't have a token yet
# https://docs.predicthq.com/guides/quickstart/
EVENT_ENDPOINT_COLUMNS = ['id', 'title', 'description', 'start', 'end',
'duration', 'labels', 'category', 'timezone', 'cou... |
#Escape Characters
txt = "eu sou no vosso \"Prof\" de python"
print (txt) |
import time
import plugin_sdk
class HelloWorld(plugin_sdk.Plugin):
def __init__(self):
super(HelloWorld, self).__init__(version="0.0.1-alpha")
def config(self):
pass
def command(self, name):
if name == "Hello":
return "World"
def get_help(self, name):
re... |
import tensorflow as tf
from utils import Utils
import numpy as np
import dnnlib.tflib as tflib
from dnnlib.tflib.ops.upfirdn_2d import upsample_2d, downsample_2d, upsample_conv_2d, conv_downsample_2d
from dnnlib.tflib.ops.fused_bias_act import fused_bias_act
from dnnlib import EasyDict
import math
from tensorflow.ker... |
# coding=utf-8
# Copyright 2020 The ML Fairness Gym Authors.
#
# 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 applicab... |
import math, itertools
def divisorsCount(num):
n = math.floor(math.sqrt(num))
res = sum(2 for i in range(1, n + 1) if num % i == 0)
if n ** 2 == num:
res -= 1
return res
tri = 0
for i in itertools.count(1):
tri += i
if divisorsCount(tri) > 500:
print(tri)
break |
'''
Shortest Path in a Weighted Directed Graph Using Dynamic Programming.
Solution uses vectorization compared to the solution given in the lecture notes.
'''
import numpy as np
from numpy import inf
node_weights = []
destination_node = 99
starting_node = 13
num_nodes = 100
Q = inf*np.ones((num_nodes, num_nodes))
... |
from rest_framework import serializers
from users.models import User
from tickets.models import Ticket, Category, Comment
# Serializers define the API representation.
class UserSerializer(serializers.Serializer):
id = serializers.IntegerField()
email = serializers.EmailField()
is_staff = serializers.Boolea... |
"""
No need to change anything here!
If all goes well, this should work after you
modify the Add class in miniflow.py.
"""
from miniflow_05 import *
x, y, z = Input(), Input(), Input()
f = Add(x, y, z)
feed_dict = {x: 4, y: 5, z: 10}
graph = topological_sort(feed_dict)
output = forward_pass(f, graph)
# should ou... |
"""
ioos_pkg_skeleton is not a real package, just a set of best practices examples.
"""
from .core import compute_anomaly, compute_climatology, xconvolve
__all__ = ["compute_climatology", "compute_anomaly", "xconvolve"]
try:
from ._version import __version__
except ImportError:
__version__ = "unknown"
|
from django.test import TestCase
from quips.quips import anonymize
class AnonymizeTest(TestCase):
def assertWordIsShuffledTypically(self, word, shuffled):
"""Assert a word is shuffled, preserving first and last characters."""
self.assertNotEqual(word, shuffled)
self.assertEqual(word[0], s... |
import numpy as np
import cv2
import traceback
import busface.model.faceDetector as fd
import urllib.request
from busface.util import logger, APP_CONFIG, get_model_path
import dlib
DESIRED_SIZE = int(APP_CONFIG['sample.output_size'])
SCALE_RATIO = float(APP_CONFIG['sample.scale_ratio'])
model_path = get_model_path("... |
#! python3
'''THE COMMANDLINE TOOL HERE'''
import os
import sys
from PyPDF2 import PdfFileReader
import exifread
import docx
import pprint
# from file_metadata.generic_file import GenericFile
#https://github.com/atdsaa/file-metadata with few modifications to utilities.py
from file_metadata.generic_file import Gener... |
import pandas as pd
from .constants import target_col_name
from .discretize import DiscretizationStrategy
from .preprocess import PreprocessStrategy
from .nc_window import NWStrategy
class EngineData:
def __init__(self, data: pd.DataFrame,
preprocess_strategy: PreprocessStrategy,
... |
from keras import optimizers
from keras.preprocessing.image import ImageDataGenerator
import datetime
from keras.callbacks import ModelCheckpoint
from keras.callbacks import TensorBoard
from keras.callbacks import EarlyStopping
from keras.callbacks import LearningRateScheduler
import tensorflow as tf
class EfficientNe... |
from API.misc import *
from API.WindFlo import simplified_gaussian_wake
turb_coords = np.asarray([[1270.5, 2194.5, 346.5, 1732.5, 2425.5, 346.5, 2194.5, 2425.5,
115.5, 346.5, 808.5, 1039.5, 577.5, 1501.5, 1732.5, 1963.5,
1732.5, 2194.5, 2425.5, 346.5, 577.... |
import pyglet
import mc.globals as G
from pyglet.gl import *
class Hotbar:
file='textures/gui/widgets.png'
tex = None
batch = None
vlist = None
def __init__(self, winwidth, winheight):
self.x, self.y = (winwidth//2)-181, 30
self.tex = pyglet.graphics.TextureGroup(G.RESOURCE_LOADER.... |
from lib.util import Util
from lib.wallet import Wallet
from lib.tangle import Tangle
import json
utils = Util()
class Node:
def __init__(self, seed, *args):
self.seed = seed
self.wallet = Wallet(utils.hash(str(self.seed)))
self.neighbours = set()
####
# self.DAG = {}
... |
"""This class implements the %df magic command"""
help_text = """
The %df magic command has the following syntax:
> %df [filename]
It writes the result of the last query executed in the notebook
into an external CSV formatted file.
The purpose of this magic command is to allow users to export query
data from thei... |
#!/usr/bin/env python3
# Copyright(c) 2014-2019 Daniel Kraft
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
# Utility routines for auxpow that are needed specifically by the regtests.
# This is mostly about actually *solving* an ... |
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