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#!/usr/bin/env python3
# This is a slightly modified version of timm's training script
""" ImageNet Training Script
This is intended to be a lean and easily modifiable ImageNet training script that reproduces ImageNet
training results with some of the latest networks and training techniques. It favours canonical PyTor... |
"""
Prepare training and testing datasets as CSV dictionaries
Created on 11/26/2018
@author: RH
"""
import os
import pandas as pd
import sklearn.utils as sku
import numpy as np
# get all full paths of images
def image_ids_in(root_dir, ignore=['.DS_Store','dict.csv', 'all.csv']):
ids = []
for id in os.listdi... |
import sys
import os
import re
from operator import attrgetter
class LibrarySource(object):
"""Holds info on all the library source code"""
class SourceFile(object):
"""Info for an individual source file"""
class SectionFinder(object):
"""Match a section within a source file"""
... |
"""Extract subject-question-answer triples from 20 Questions game HITs.
See ``python extractquestions.py --help`` for more information.
"""
import collections
import json
import logging
import click
from scripts import _utils
logger = logging.getLogger(__name__)
# main function
@click.command(
context_sett... |
import re
PATH_TO_STOPWORDS = 'alfred/resources/stopwords.txt'
def sterilize(text):
"""Sterilize input `text`. Remove proceeding and preeceding spaces, and replace spans of
multiple spaces with a single space.
Args:
text (str): text to sterilize.
Returns:
sterilized message `text`.
... |
import torch
import torch.nn as nn
class ExpWarpLoss(nn.Module):
def __init__(self, yaw_warp, pitch_warp):
super().__init__()
assert yaw_warp * pitch_warp == 0
assert yaw_warp + pitch_warp > 0
self._Pwarp = pitch_warp > 0
print(f'[{self.__class__.__name__}] PitchWarp:{self.... |
import curve, defaults, glyphs, pathdata, plot, svg, trans
# Only bring into the namespace the functions and classes that the user will need
# This distinguishes user interface from internal functions
# (Though the user can still access them, it intentionally requires more typing)
# Internal class members are preceede... |
"""
# Definition for a Node.
class Node:
def __init__(self, val, left, right, next):
self.val = val
self.left = left
self.right = right
self.next = next
"""
class Solution:
def connect(self, root: 'Node') -> 'Node':
def add_children(queue, node):
if node.left ... |
from abc import ABCMeta, abstractmethod, abstractproperty
import os
import sqlite3
import time
from .. import db
class Task(metaclass=ABCMeta):
@abstractproperty
def name(self):
"""Name for the task"""
pass
@abstractmethod
def should_run(self):
"""Check whether the f... |
# -*- coding: iso-8859-15 -*-
"""
Grundmodul der Entwicklungsumgebung
"""
from optparse import OptionParser
import sys
import os
import re
import shutil
endSkeletor = False
options = None
args = None
def readTemplateFile(tmpname):
fpath = sys.argv[0]
fpath = os.path.split(fpath)[0]
f = open(fpath+'/{0}... |
# -*- coding: utf-8 -*-
"""
Created with IntelliJ IDEA.
Description:
User: jinhuichen
Date: 3/20/2018 11:12 AM
Description:
"""
from fetchman.pipeline.console_pipeline import ConsolePipeline
from fetchman.pipeline.pic_pipeline import PicPipeline
from fetchman.pipeline.test_pipeline import TestPipeline
POSTGRES... |
"""
Base Class for HTTP Client we use to interact with APIs
"""
import json
import requests
import requests.packages.urllib3 # pylint: disable=E0401
import logging
from random import choice
from string import ascii_uppercase
requests.packages.urllib3.disable_warnings() # pylint: disable=E1101
line_separator = '\n' ... |
import os
import zipfile
import pandas as pd
from ..datasets import core
BASE_URL = "https://ti.arc.nasa.gov/"
def load_turbofan_engine():
"""
Load Turbofan Engine Degradation Simulation Dataset
from https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/
:return:
"""
s... |
from datetime import datetime
from django.test import SimpleTestCase
from data_schema.models import FieldSchemaType
from data_schema.convert_value import convert_value
class ConvertValueExceptionTest(SimpleTestCase):
def test_get_value_exception(self):
"""
Tests that when we fail to parse a valu... |
# -*- coding: utf-8 -*-
"""Dummy test case that invokes all of the C++ unit tests."""
import testify as T
import moe.build.GPP as C_GP
class CppUnitTestWrapperTest(T.TestCase):
"""Calls a C++ function that runs all C++ unit tests.
TODO(GH-115): Remove/fix this once C++ gets a proper unit testing framework.... |
from .ichart import iChart
|
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequiredMixin
from django.http import HttpResponse
from django.shortcuts import get_object_or_404, redirect, render
from django.views.generic import DetailView, ListView
from dfirtra... |
"""
Models for configuration of the feature flags
controlling persistent grades.
"""
from config_models.models import ConfigurationModel
from django.conf import settings
from django.db.models import BooleanField, IntegerField, TextField
from opaque_keys.edx.django.models import CourseKeyField
from openedx.core.lib.... |
from collections import OrderedDict
from .states import DefaultState
from lewis.devices import StateMachineDevice
class SampleHolderMaterials(object):
ALUMINIUM = 0
GLASSY_CARBON = 1
GRAPHITE = 2
QUARTZ = 3
SINGLE_CRYSTAL_SAPPHIRE = 4
STEEL = 5
VANADIUM = 6
class SimulatedIndfurn(StateMa... |
__author__ = 'Meemaw'
vhodnaTabela = []
indeks = 0
with open("odpri.txt") as file:
for line in file:
indeks+=1
line = line.split()
vhodnaTabela.append(map(int,line))
vhodnaTabela.append([0]*(indeks+1))
for i in range(indeks-1,-1,-1):
for x in range(len(vhodnaTabela[i])):
... |
import pandas as pd
# df = pd.read_csv('Data/main_dataset.csv')
df = pd.read_csv('Data/personality_questions_answers.csv')
# personality_features = ['Openness', 'Conscientiousness', 'Extraversion', 'Agreeableness', 'Emotional range']
personality_features = ['openness', 'conscientiousness', 'extraversion', 'agreeable... |
from common import * # NOQA
from cattle import ApiError
RESOURCE_DIR = os.path.join(os.path.dirname(os.path.realpath(__file__)),
'resources/certs')
def test_create_cert_basic(client):
cert = _read_cert("san_domain_com.crt")
key = _read_cert("san_domain_com.key")
cert1 = clie... |
{%extends 'setup.py.jj2'%}
{%block platform_block%}
{%endblock%}
{%block morefiles%} 'CONTRIBUTORS.rst',{%endblock%}
|
from graphene_django import DjangoObjectType
import graphene
from dashboard.models import Course
from dashboard.graphql.objects import CourseType
from dashboard.rules import is_admin_or_enrolled_in_course, is_admin
from graphql import GraphQLError
import logging
logger = logging.getLogger(__name__)
class Query(graph... |
"""Tests for avro2py/avro_types.py"""
import avro2py.avro_types as avro_types
def test_parsing_permits_metadata_attributes():
"""
https://avro.apache.org/docs/1.10.2/spec.html#schemas states: "Attributes
not defined in this document are permitted as metadata, but must not
affect the format of seriali... |
import pydub,os,PIL,ffmpeg,shutil,time,textwrap
from pathlib import Path
from gtts import gTTS
from PIL import Image, ImageDraw, ImageFont
from pydub import AudioSegment
from moviepy.editor import *
import snatch
try:
shutil.rmtree("out")
except:
pass
os.mkdir("out")
def insert_newlines(string, every=100):
... |
from models.mobilenet import *
def get_mobilenet(config):
"""
Get mobile based on config.py
"""
model = None
if config.backbone == 'mobilenetv2':
model = mobilenet_v2()
return model |
from os.path import dirname, abspath
from imdbmovie.utilities.settings.site_config import SiteConfig
site_config = SiteConfig(config_file='development.yaml').get_config()
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = dirname(dirname(abspath(__file__)))
# JWT Authentication Confi... |
PROJECT_ROOT = ".."
import os
import sys
sys.path.insert(0, os.path.abspath(PROJECT_ROOT))
project = "mulberry"
copyright = "2020, Hunter Damron"
author = "Hunter Damron"
with open(os.path.join(PROJECT_ROOT, "VERSION"), "r") as fh:
release = fh.read().strip()
version = ".".join(release.split(".")[:2]) # Get... |
from math import fabs
a = float(input("Enter a number: "))
b = float(input("Enter another number: "))
D = fabs(a - b)
if D <= 0.001:
print("Close.")
else:
print("Not Close.")
|
from django.forms import ModelForm
from .models import *
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from django import forms
class KundeForm(ModelForm):
"""
Eine Klasse zur Repräsentation einer Kundenform
...
Classes
... |
import contextlib
import logging
import os
import subprocess
import time
import torch
import torch.distributed as dist
import seq2seq.data.config as config
from seq2seq.inference.beam_search import SequenceGenerator
from seq2seq.utils import AverageMeter
from seq2seq.utils import barrier
from seq2seq.utils import get... |
'''
You are given a positive integer. Your function should calculate the
product of the digits excluding any zeroes.
For example: The number given is 123405. The result will be
1*2*3*4*5=120 (don't forget to exclude zeroes).
Input: A positive integer.
Output: The product of the digits as an integer.
Example:
check... |
from ClickablePopup import *
from MarginPopup import *
from otp.otpbase import OTPLocalizer
import NametagGlobals
class WhisperPopup(ClickablePopup, MarginPopup):
WTNormal = 0
WTQuickTalker = 1
WTSystem = 2
WTBattleSOS = 3
WTEmote = 4
WTToontownBoardingGroup = 5
WTMagicWord = 6
WTGlobal... |
import sys
from math import sqrt
EPS = 1e-9
class sp:
def __init__(self):
x, y = 0, 0
x_l, x_r = 0.0, 0.0
if __name__ == '__main__':
for line in sys.stdin:
n, l, w = map(int, line.strip('\n').split())
sprinkler = [sp() for _ in range(n)]
for i in range(n):
sprinkler[i].x, sprinkler[i].... |
from updater_test import DBManager
import numpy as np
df = DBManager('final_datasets/all_rirs_final.csv', reg_time=True, time=True, step='second')
df.first_policy()
df = DBManager('final_datasets/all_standard_policy.csv', reg_time=True, time=True, step='second')
df.apply_afrinic_policy()
df = DBManager('final_data... |
# coding=utf-8
# Copyright 2022 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... |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'e:\git\softmech\nanoindentation\nano.ui'
#
# Created by: PyQt5 UI code generator 5.12.3
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self... |
from django.shortcuts import render, render_to_response
from blog.models import Author, Book
# Create your views here.
def show_author(request):
authors = Author.objects.all()
return render_to_response('show_author.html', {'authors': authors})
def show_book(request):
books = Book.objects.all()
return... |
import numpy as np
from scipy.optimize import linear_sum_assignment
from scipy.stats import kendalltau
import torch
is_cuda = torch.cuda.is_available()
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
def sinkhorn_unrolled(c, a, b, num_sink, lambd_sink):
"""
An implementation of a Sinkhorn layer... |
from .ReportDaily import *
# Find all forks in organizations that have a parent in an organization.
# Organizational repositories should have only one source of truth on
# the entire instance.
#
# c.f. https://medium.com/@larsxschneider/talk-dont-fork-743a1253b8d5
class ReportForksToOrgs(ReportDaily):
def name(self):... |
#! /usr/bin/env python3
import os
import time
codes = {
'power': '16658433',
'mode_plus': '16658437',
'mode_minus': '16658443',
'speed_plus': '16658441',
'speed_minus': '16658439',
'demo': '16658440',
'color_plus': '16658442',
'color_minus': '16658445',
'bright_plus': '16658444',
... |
# Number of Recent Calls: https://leetcode.com/problems/number-of-recent-calls/
# You have a RecentCounter class which counts the number of recent requests within a certain time frame.
# Implement the RecentCounter class:
# RecentCounter() Initializes the counter with zero recent requests.
# int ping(int t) ... |
"""
Author: Andreas Finkler
Created: 23.12.2020
Statistics for qualifying times.
"""
from operator import attrgetter
import numpy as np
from granturismo_stats.entities.ranking import Leaderboard
class QualifyingTimes:
"""
Statistics of the qualifying results for a given race.
"""
def __init__(self,... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
nwid.widget
~~~~~~~~~~~
This module contains nwid widget objects and data structures.
"""
from __future__ import absolute_import
from .base import BaseWidget
|
#required !pip install googleads -q
import pandas as pd
import numpy as np
from google.ads.googleads.client import GoogleAdsClient
from google.ads.googleads.errors import GoogleAdsException
from google.protobuf.json_format import MessageToDict
import _locale
"""
MANDATORY INPUT:
start_date, end_date as string ... |
import json
def text_file_to_list(filename):
with open(filename, 'r') as file:
return file.read().splitlines()
def list_to_text_file(filename, string_list):
with open(filename, 'w') as text_file:
for line in string_list:
text_file.write(f'{line}\n')
def json_to_dict(filename):
... |
# Copyright (C) Mesosphere, Inc. See LICENSE file for details.
"""Implement handler for the /uiconfig endpoint.
In a DC/OS cluster it is exposed via /dcos-metadata/ui-config.json. It is there
so that the UI can display a special message to visitors of the login page ("you
will be the superuser!") before the first re... |
"""
This is the main program for making the ATM forcing file.
Testing on my mac: need to use this day to find stored files:
run make_forcing_main.py -g cas6 -t v3 -d 2017.04.20
Note: we set rain to zero because its units are uncertain and
we don't currently use it in the simulations.
2021.09.16: I finally added a p... |
from django import forms
from overrides.widgets import CustomStylePagedown
class EditProfileForm(forms.Form):
about = forms.CharField(label='About',
max_length=1000,
required=False,
widget=CustomStylePagedown(),)
view_adult... |
import torch
import torch.nn as nn
from torch_geometric.data import InMemoryDataset
import numpy as np
import pandas as pd
import pickle
import csv
import os
from torch_geometric.data import Data
from torch_geometric.data import DataLoader
from sklearn.metrics import roc_auc_score
from torch_geometric.nn import Grap... |
import unittest
import sys
sys.path.append('../lib')
sys.path.append('helpers')
import matrixUtils
import vTableServer
import pTableServer
class vTest(unittest.TestCase):
def test_V_write_read(self):
fileName = "temp.txt"
matrixUtils.write_V_table(vTableServer.get_table(5), fileName)
self.assertEqual(ma... |
from clang.cindex import Index, File
def test_file():
index = Index.create()
tu = index.parse('t.c', unsaved_files = [('t.c', "")])
file = File.from_name(tu, "t.c")
assert str(file) == "t.c"
assert file.name == "t.c"
assert repr(file) == "<File: t.c>"
|
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. (http://www.facebook.com)
import unittest
import weakref
from unittest.mock import MagicMock, Mock
class WeakRefTests(unittest.TestCase):
def test_ref_dunder_callback_readonly(self):
class C:
pass
def callback(*... |
from typing import List
class Solution:
def tribonacci(self, n: int) -> int:
self.tribonacci_list: List = [0, 1, 1, 2]
for i in range(4, n+1):
self.tribonacci_list.append(sum(self.tribonacci_list[-3:]))
return self.tribonacci_list[n]
|
# encoding: utf-8
# Copyright 2015 California Institute of Technology. ALL RIGHTS
# RESERVED. U.S. Government Sponsorship acknowledged.
#
# set-rdf-sources - configure RDF URLs
app = globals().get('app', None) # ``app`` comes from ``instance run`` magic.
portalID = 'edrn'
from AccessControl.SecurityManagement import... |
from .asset import *
from .channel import *
from .message import *
from .server import *
from .user import *
|
#!/usr/bin/env python3
"""
Copyright (C) 2018 Rene Rivera.
Use, modification and distribution are subject to the
Boost Software License, Version 1.0. (See accompanying file
LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
"""
from bls.build_tools import BuildB2
if __name__ == "__main__"... |
# Copyright 2010 Hakan Kjellerstrand [email protected]
#
# 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 applica... |
"""
Some instructions on writing CLI tests:
1. Look at test_ray_start for a simple output test example.
2. To get a valid regex, start with copy-pasting your output from a captured
version (no formatting). Then escape ALL regex characters (parenthesis,
brackets, dots, etc.). THEN add ".+" to all the places where ... |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from ...spec.attr import AttributeGroup
class ReferenceAttributeGroup(AttributeGroup):
__attributes__ = {
'ref_obj': dict(),
'normalized_ref': dict(),
}
class PathItemAttributeGroup(AttributeGroup):
__attributes__ = {
... |
import torch.nn as nn
import torch
import torchvision
import torch.nn.functional as F
class EnsembleModel(nn.Module):
def __init__(self,num_classes,layer):
super(EnsembleModel,self).__init__()
# model A: resnet50
if layer==50:
self.modelA=torchvision.models.resnet50(pretrained=... |
import numpy as np
import torch
from torch.distributions import Normal
class Actor(torch.nn.Module):
def __init__(self, input_size, hidden_size, output_size):
super(Actor, self).__init__()
# defining fully-connected layers
self.fc_1 = torch.nn.Linear(input_size, hidden_size)
self.... |
import os, logging, sys, subprocess, argparse, time
import xml.etree.ElementTree as xmlparse
from nc_config import *
from exe_cmd import *
from topo import *
from fail_recovery import *
###########################################
## get parameters
###########################################
class Parameters:
def ... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... |
# coding=utf-8
# Copyright 2020 Google LLC.
#
# 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 ... |
n = int(input())
wait_time = list(map(int, input().split()))
wait_time.sort(reverse=True)
sum = 0
for i, t in enumerate(wait_time):
sum += (i + 1) * t
print(sum)
|
def tenbase(s, alpha, w, h):
l = []
while s != "":
l.append(s[:(w+1) * h - 1])
s = s[(w+1) * h:]
l = l[::-1]
x = 0
for i in range(len(l) - 1, -1, -1):
x += alpha.index(l[i]) * 20**i
return x
def maybase(x, alpha):
l = []
if x == 0:
l.... |
print('===== DESAFIO 006 =====')
x = int(input('Digite um numero: '))
print(f'Esse é seu dobro {x*2}\n Seu triplo {x*3}\n Sua Raiz Quadrada {x**(1/2)}')
|
from random import randint
from enums import *
from stix_generator import *
from util import Util as u
def make_cybox_object_list(objects):
"""
Makes an object list out of cybox objects to put in a cybox container
"""
cybox_objects = {}
for i in range(len(objects)):
cybox_objects[str... |
import glob
import os
import shutil
import time
import random
def sleep_time():
time.sleep(2)
def git_automation(repository_name,local_file_path,script_name,git_script_path):
print('E:\\Github\\'+repository_name)
os.chdir(r'E:\\Github\\'+repository_name)
sleep_time()
os.system('git checkout mai... |
'''
problem--
Given a time in 12-hour AM/PM format, convert it to military (24-hour) time.
Note: Midnight is 12:00:00AM on a 12-hour clock, and 00:00:00 on a 24-hour clock. Noon is 12:00:00PM on a 12-hour clock, and 12:00:00 on a 24-hour clock.
Function Description--
Complete the timeConversion function in the editor... |
import unittest
from pyval import evaluate
class TestEvaluate(unittest.TestCase):
def test_evaluate(self):
self.assertEqual(evaluate("(2 + 3) * 5"), 25)
self.assertEqual(evaluate("2 + 3 * 5"), 17)
self.assertEqual(evaluate("(4 - 6) * ((4 - 2) * 2)"), -8)
self.assertEqual(evaluate("(... |
"""
__init__.py
"""
__author__ = 'Gavin M. Roy'
__email__ = '[email protected]'
__since__ = '2012-06-05'
__version__ = '0.3.2'
import api
import apps
import cli
import crashes
import crashlog
|
"""
Pipeline pressure containment according to DNVGL-ST-F101 (2017-12)
refs:
Notes:
to run:
python DnvStF101_pressure_containment.py
"""
from pdover2t.dnvstf101 import *
from pdover2t.pipe import pipe_Do_Di_WT
# Gas Export (0-0.3 km) location class II, 60°C max. Temp. 340-370m depth
D_i = 0.6172 # (m) pipe inter... |
import qutip as qt
import numpy as np
import scipy
from scipy import constants
from scipy.linalg import expm, sinm, cosm
import matplotlib.pyplot as plt
pi = np.pi
e = constants.e
h = constants.h
hbar = constants.hbar
ep0 = constants.epsilon_0
mu0 = constants.mu_0
Phi0 = h/(2*e)
kb = constants.Boltzmann
def to_dBm(... |
r"""Reference.
http://cocodataset.org/#detection-eval
https://arxiv.org/pdf/1502.05082.pdf
https://github.com/rafaelpadilla/Object-Detection-Metrics/issues/22
"""
import collections
from .base import EvaluationMetric
from .records import Records
class AverageRecallBBox2D(EvaluationMetric):
"""2D Bounding Box Av... |
#
# Working with the OS
#
import os
from os import path
import datetime
from datetime import date, time, timedelta
import time
def main():
# Print the name of the OS
print(os.name)
# Check for if an item exists and what is its type
print("Item exists: " + str(path.exists("textfile.txt")))
print("... |
from rest_framework import serializers
from base.models import Task, Subtask, Category, Attachment
from django.contrib.auth.models import User
from taggit.serializers import (TagListSerializerField,
TaggitSerializer)
from taggit.models import Tag, TaggedItem
from base.reports import Repo... |
#Fatiamento
#frase = 'Curso em Vídeo Python'
#print(frase[9::3])
# Análise
frase = "Fabio Rodrigues Dias"
print(len(frase))
print(frase.count("o"))
print(frase.count("o", 0, 20))
print(frase.lower().find("Dias"))
print(frase.count("abio"))
print("Dias"in frase)
print('\n')
#Transformação
print(frase.replace("Pyth... |
"""
Database event signals
"""
from asgiref.sync import async_to_sync
from channels.layers import get_channel_layer
from django.db.models.signals import post_delete, post_save
from django.dispatch import receiver
from apps.chat.models import Room
from apps.chat.serializers import RoomHeavySerializer
@receiver(post... |
from PyQt5 import QtCore, QtWidgets
from PyQt5.QtWidgets import QMainWindow
import math
class BuyCityWindow(QMainWindow):
"""
This window is used for proposing price for city buyout.
"""
def __init__(self, parent, grandparent):
super(BuyCityWindow, self).__init__()
self.resize(440, 28... |
import random
import generate_histogram
#module to select one word based on commonness(frequency) in the given histogram
def weighted_random_word(histogram_dict):
''' Takes a histogram and returns a random weighted word '''
# Raise an exception if we are given an empty histogram
if len(histogram_dict) == 0... |
#
# @lc app=leetcode id=283 lang=python3
#
# [283] Move Zeroes
#
from typing import List
class Solution:
def moveZeroes(self, nums: List[int]) -> None:
"""
Do not return anything, modify nums in-place instead.
"""
index = 0
for i, n in enumerate(nums):
if n != 0... |
from easydict import EasyDict
cartpole_dqn_config = dict(
env=dict(
collector_env_num=8,
collector_episode_num=2,
evaluator_env_num=5,
evaluator_episode_num=1,
stop_value=195,
),
policy=dict(
cuda=False,
model=dict(
obs_shape=4,
... |
"""
Main script for semantic experiments
Author: Vivien Sainte Fare Garnot (github/VSainteuf)
License: MIT
"""
import argparse
import json
import os
import pickle as pkl
import pprint
import time
import numpy as np
import torch
import torch.nn as nn
import torch.utils.data as data
import torchnet as tnt
from src impo... |
# generate figs for processing
import predusion.immaker as immaker
from predusion.color_deg import Degree_color
import numpy as np
import os
n_image, n_image_w = 4, 4
imshape = (128, 160)
l, a, b, r = 80, 22, 14, 70
n_deg = 30
deg_color = Degree_color(center_l=l, center_a=a, center_b=b, radius=r)
center = 10
width ... |
from __future__ import print_function
import tensorflow as tf
try:
tf.contrib.eager.enable_eager_execution()
except ValueError:
print('value error!')
else:
print(tf.executing_eagerly())
graph = tf.Graph()
with graph.as_default():
c = tf.constant('hello world!')
with tf.Session(graph=graph) as sess... |
#coding:utf-8
N = int(raw_input())
s = list(raw_input())
K = int(raw_input()) % 26
for i, char in enumerate(s):
if char >= 'A' and char <= 'Z':
num = ord(char) + K
if num > 90:
num -= 26
elif char >= 'a' and char <= 'z':
num = ord(char) + K
if num > 122:
... |
import os
import unittest
from os.path import join as pjoin
from e2xgrader.models import TaskModel
from ..test_utils.test_utils import create_temp_course, add_question_to_task
class TestTaskModel(unittest.TestCase):
def setUp(self):
tmp_dir, coursedir = create_temp_course()
self.tmp_dir = tmp_di... |
DEFAULT = False
called = DEFAULT
def reset_app():
global called
called = DEFAULT
def generate_sampledata(options):
global called
assert called == DEFAULT
called = True
|
#!/usr/bin/python
#
# flg - FOX lexer generator.
#
# usage:
# flg [ -l,--language=<outputlanguage> ] [ -n,--name=<name> ]
# [ -o,--outputfile=<filename> ] [ -v,--showtables ] <inputfile>|-
#
# options:
# -l,--language=<outputlanguage>
# What language to output the lexer in. Currently, only "python"
# ... |
from .base import ByteableList
from .stroke import Stroke
class Layer(ByteableList):
__slots__ = "name"
@classmethod
def child_type(cls):
return Stroke
def __init__(self, name=None):
self.name = name
super().__init__()
def __str__(self):
return f"Layer: nobjs={le... |
from indy_node.server.request_handlers.domain_req_handlers.attribute_handler import AttributeHandler
from plenum.server.request_handlers.handler_interfaces.read_request_handler import ReadRequestHandler
from indy_common.constants import ATTRIB, GET_ATTR
from indy_node.server.request_handlers.utils import validate_attri... |
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 1 23:22:03 2019
@author: SERELPA1
"""
# Feature Scaling
from sklearn.preprocessing import StandardScaler
def feature_scaling(ds_train):
sc = StandardScaler()
ds_train_scaled = sc.fit_transform(ds_train)
sc_predict = StandardScaler()
sc_predict.fit_tra... |
from django import forms
from django.utils.translation import ugettext as _
from dal import autocomplete
from dal import forward
from ..models import Country
class CountryForm(forms.ModelForm):
"""
Custom Country Form.
"""
class Meta:
model = Country
fields = ('__all__')
widg... |
import astra
import numpy as np
import os
import pickle
from tqdm import tqdm
from time import time
from astropy.io import fits
from astropy.table import Table
from astra.utils import (log, timer)
from astra.tasks import BaseTask
from astra.tasks.io import LocalTargetTask
from astra.tasks.io.sdss5 import ApStarFile
fr... |
# -*- coding: utf-8 -*-
# Copyright 2017-2019 ControlScan, Inc.
#
# This file is part of Cyphon Engine.
#
# Cyphon Engine 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 Foundation, version 3 of the License.
#
# Cyphon En... |
# -*- coding: utf-8 -*-
# snapshottest: v1 - https://goo.gl/zC4yUc
from __future__ import unicode_literals
from snapshottest import Snapshot
snapshots = Snapshot()
snapshots['test_login_shortcut 1'] = {
'data': {
'node': {
'id': 'TG9naW5TaG9ydGN1dDoxMA==',
'name': 'foo'
}... |
import logging
from .paths import DetectionPaths
class DetectionLogs():
# Set Logging configs
LOG_FORMAT = "%(levelname)s %(asctime)s - - %(message)s"
logging.basicConfig(filename=DetectionPaths.LOG_PATH,
level=logging.DEBUG,
format=LOG_FORMAT)
logger... |
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