content stringlengths 5 1.05M |
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# -*- coding: utf-8 -*-
# Generated by Django 1.9.8 on 2016-10-10 20:39
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('ip_manager', '0001_initial'),
]
operations = [
migrations.AlterField(
... |
#!/usr/bin/env python
# license removed for brevity
import rospy
import actionlib
from move_base_msgs.msg import MoveBaseAction, MoveBaseGoal
def movebase_client():
client = actionlib.SimpleActionClient('move_base',MoveBaseAction)
client.wait_for_server()
# Sequence
goal_seq=[1.8878 , 0.031 , -0.001... |
"""Run trakem alignment in parallel with MPI."""
import os
import argparse
import numpy as np
import cv2
import re
import glob
from PIL import Image
from tqdm import tqdm
import logging
import pkg_resources
def parse_args(args=None):
parser = argparse.ArgumentParser()
parser.add_argument('input', default=Non... |
import os
from unittest import TestCase
from unittest.mock import patch, Mock
from lessweb_org.service.cookbook import CookbookService
class TestCookbookService(TestCase):
@patch('lessweb_org.utils.markdown_tool')
def test_fetch_wiki_and_get_html(self, markdown_tool_patch):
serv = CookbookService()
... |
from django.conf.urls import url
from django.contrib.auth import views as auth_views
from . import views
urlpatterns = [
url(r'^$', views.home, name="home"),
url(r'^review/(?P<pk>\d+)/$', views.review, name="review"),
] |
#!/usr/bin/env python
#
# Script for getting Google Page Rank of page
# Google Toolbar 3.0.x/4.0.x Pagerank Checksum Algorithm
#
# original from http://pagerank.gamesaga.net/
# this version was adapted from http://www.djangosnippets.org/snippets/221/
# by Corey Goldberg - 2010
#
# important update (http://www.ser... |
from datetime import timedelta
from .interchange import WaypointType
class ActivityStatisticCalculator:
ImplicitPauseTime = timedelta(minutes=1, seconds=5)
def CalculateDistance(act, startWpt=None, endWpt=None):
import math
dist = 0
altHold = None # seperate from the lastLoc variable,... |
import requests
import json
from utils.validate_input import validate_required_field_existence
from torre.constants import API_URL, URL, SEARCH_URL
GENOME_USERNAME_FIELD = 'genome_username'
LOCATION_FIELD = 'location'
ROLE_FIELD = 'role'
SALARY_RANGE_FIELD = 'salaryRange'
MIN_SALARY_RANGE_FIELD = 'min'
MAX_SALARY_RANG... |
import os
import random
import numpy as np
import tqdm
from absl import app, flags
from ml_collections import config_flags
from tensorboardX import SummaryWriter
import sys
sys.path.append("../")
from jax_rl.agents import AWACLearner, SACLearner,SACEMLPLearner
from jax_rl.datasets import ReplayBuffer
from jax_rl.eval... |
#from https://www.hackerrank.com/challenges/countingsort4
def countingsort(ar):
results=[[] for i in range(100)]
for place,value in ar:
results[place].append(value)
retString= sun(results,[])
print ''.join(retString)
# for x in range(arrayLength):
# theValue=ar[x]
# if (x<firstHalf):
# theValue[1]="-"
... |
import numpy as np
import time
import os
import glob
import cv2
import math
from math import *
from PIL import Image, ImageDraw
from scipy.misc import imsave
import matplotlib.pyplot as plt
plt.ion()
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential, Model
from keras.layers i... |
import logging
import requests
from cacheops.simple import cache, CacheMiss
from django.conf import settings
from packaging import version
from nautobot.core.celery import nautobot_task
# Get an instance of a logger
logger = logging.getLogger("nautobot.releases")
@nautobot_task
def get_releases(pre_releases=False)... |
from test_sib import generate_references
if __name__ == '__main__':
generate_references()
|
import logging
import os
from igraph import Graph
from parvusdb import GraphDatabase
_path = os.path.dirname(__file__)
class HeadTokenVisitor:
__logger = logging.getLogger(__name__)
def __init__(self, sentence_number):
self._rules = """
MATCH {'is_head_token': True}(a)
SET (assoc a ... |
import json
from pytest import mark
import demistomock as demisto
from CrowdStrikeFalconStreamingV2 import (get_sample_events,
merge_integration_context)
def test_get_sample_events_with_results(mocker):
"""
Given:
- Samples events stored in the integration cont... |
print('')
print('')
print('===== DESAFIO 4 =====')
print('')
n1 = input('Digite algo: ')
print('Seu tipo é:',type(n1))
print('E alfanumérico:', n1.isalnum())
print('Ele e um número:', n1.isnumeric())
print('Ele e alfabético:', n1.isalpha())
print('Ele está em letras maiúsculas:', n1.isupper())
print('Ele está em letra... |
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import animation
from mpl_toolkits.mplot3d import Axes3D
# create cluster builder
def cluster(center, radius=10, n=50):
c = np.asarray(center)
xx, yy, zz = np.random.uniform(c - radius, c + radius, size=(n, 3)).T
return xx, yy, zz
# crea... |
#!/usr/bin/env python
# coding: utf-8
# In[ ]:
import pickle
import datetime
import time
import sys
from collections import Counter
from operator import methodcaller
# In[ ]:
import pandas as pd
import numpy as np
import xlsxwriter
# In[ ]:
from repeat_analyzer.vectorizer import FeauterVectorizer, SequenceVe... |
def convert_spreadsheet_to_unix(val):
return 86400 * (val - 25569)
|
"""
Functionality to synchronise properties
"""
import ast
from os import path
from cdd import emit
from cdd.ast_utils import RewriteAtQuery, annotate_ancestry, find_in_ast, it2literal
from cdd.pure_utils import strip_split
from cdd.source_transformer import ast_parse, to_code
def sync_properties(
input_eval,
... |
# -- --------------------------------------
# -- READ SALARIES IN DATABASE
# -- --------------------------------------
|
import pytest
from mock import Mock
import json
from pyptv3 import RoutesResponse, RouteResponse, StatusResponse, ONLINE, TRAIN, TRAM, BUS, VLINE_TRAIN, NIGHT_BUS
class TestRoutesResponse:
@pytest.fixture(scope="module")
def response(self):
return json.loads("""
{
"routes": [
... |
#!/usr/bin/env python3
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import argparse
import os
import pathlib
from .onnx_model_utils import get_optimization_level, optimize_model
def optimize_model_helper():
parser = argparse.ArgumentParser(f'{os.path.basename(__f... |
# -*- coding: utf-8 -*-
# Some basic scenarios with real-space encoding.
__author__ = 'Luis Da Costa'
__all__ = [
'MUXProblem',
'ExploitTrackingScenarioObserver',
]
import pathlib
import math
import queue
import logging
import time
from typing import Tuple, Optional
from util.general import get_free_file_n... |
# Copyright (c) 2021 Emanuele Bellocchia
#
# 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, merge, publish,... |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import csv
import numpy as np
import os
import sys
from observations.util import maybe_download_and_extract
def whiteside(path):
"""House Insulation: Whiteside's Data
Mr Derek Wh... |
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from .models import Account
class AccountDetail(UserAdmin):
list_display = ( 'username','email', 'sector','first_name','middle_name','last_name',)
search_fields = ('email','username',)
readonly_fields = (... |
# https://www.hackerrank.com/challenges/backreferences-to-failed-groups/problem
Regex_Pattern = r"^\d\d(-?)\d\d\1\d\d\1\d\d$" # Do not delete 'r'.
import re
print(str(bool(re.search(Regex_Pattern, input()))).lower())
|
__auther__ = 'Xinyu Wang'
import os
import pathos
import numpy as np
import pandas as pd
import multiprocessing
import math
from ._correlation_matrix_collector import correlation_matrix_collector
def addiction_reader(path_file='/shared/healthinfolab/hcpdata/aal_corr_matrices/number_addiction/',Dp=True,Ab=True):
... |
# -*- coding: utf8 -*-
#
# DB migration 002 by 2018-06-06
#
# Table `name` uses md5 hash as BINARY(16) now
#
__author__ = 'sergey'
__NUMBER__ = 20180606002
def run(manager):
"""
:param manager: Database manager
:type manager: dedupsqlfs.db.sqlite.manager.DbManager|dedupsqlfs.db.mysql.manager.DbManager
... |
from setuptools import setup, find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
setup(
name = 'twarkov',
version = '0.0.2',
description = 'Markov generator built for generating Tweets from timelines',
license = 'MIT',
author = 'Amanda Pickering',
author... |
import matplotlib.pyplot as plt
def remove_legend_title(ax, name_dict=None, fontsize=16):
handles, labels = ax.get_legend_handles_labels()
if name_dict is not None:
labels = [name_dict[x] for x in labels]
ax.legend(handles=handles, labels=labels, fontsize=fontsize)
def adjust_legend_fontsize(ax, f... |
#!python3
### Exceptions ###
class Error(Exception):
pass
class SignalTypeError(TypeError):
pass
class SignalValueError(ValueError):
pass
class FileIOValueError(ValueError):
pass
class CostValueError(ValueError):
pass
class UITypeError(TypeError):
pass
class UIValueEr... |
import os
def get_encryptions():
filelst = [item[:-3] for item in os.listdir(os.path.join(os.path.dirname(__file__))) if not item.endswith(".pyc")]
return sorted(filelst)[1:] |
from sqlalchemy.exc import IntegrityError
from pf_py_common.pf_exception import PFException
class PFFlaskDBException:
EXCEPTION_TYPE = "FLASK_DB"
def parse_integrity_error(self, exception: IntegrityError):
try:
if exception.orig and exception.orig.args and len(exception.orig.args) >= 1:
... |
# Create a Python script that analyzes the PyBank records to calculate each of the following:
# The total number of months included in the dataset
# The net total amount of "Profit/Losses" over the entire period
# The average of the changes in "Profit/Losses" over the entire period
# The greatest increase in profits (d... |
import json
from math import inf
# import rtree as rtree
from pymunk import Vec2d
from k_road.entity.entity_type import EntityType
class CarlaMapBuilder:
def __init__(
self,
parent: 'KRoadProcess',
filename: str,
):
"""
Creates a roadway with lanes, c... |
# tools
from nexus.tools.check_zeros import check_zeros, remove_zeros
from nexus.tools.combine_nexuses import combine_nexuses
from nexus.tools.shufflenexus import shufflenexus
from nexus.tools.sites import iter_constant_sites
from nexus.tools.sites import iter_unique_sites
from nexus.tools.sites import count_site_value... |
from channels.auth import AuthMiddlewareStack
from channels.routing import ProtocolTypeRouter, URLRouter
from channels.security.websocket import OriginValidator
from django.conf import settings
import notifications.routing
application = ProtocolTypeRouter({
'websocket': AuthMiddlewareStack(
URLRouter(... |
from django.contrib.auth.models import AbstractUser
from django.db.models import CharField
from django.db import models
from django.urls import reverse
from django.utils.translation import gettext_lazy as _
from django.core.validators import RegexValidator
class User(AbstractUser):
"""Default user for talana_pru... |
# TODO: docstrings
# XXX: can this move into tests/?
def is_file(path):
return path.is_file() and not path.is_symlink()
def is_link(path):
return path.is_file() and path.is_symlink()
def mkdir(path):
try:
path.mkdir(parents=True)
except FileExistsError:
pass
def touch(path):
... |
# Source Generated with Decompyle++
# File: decompyle (Python 2.7)
import string
restrictions = [
'uudcjkllpuqngqwbujnbhobowpx_kdkp_',
'f_negcqevyxmauuhthijbwhpjbvalnhnm',
'dsafqqwxaqtstghrfbxzp_x_xo_kzqxck',
'mdmqs_tfxbwisprcjutkrsogarmijtcls',
'kvpsbdddqcyuzrgdomvnmlaymnlbegnur',
'oykgmfa_cmr... |
"""Tests to assure the FormProcessMapper Service"""
from formsflow_api.services import FormProcessMapperService
from tests.utilities.base_test import get_form_service_payload
form_service = FormProcessMapperService()
def test_form_get_all_mappers(session):
rv = form_service.get_all_mappers(page_number=0, limit=0... |
__author__ = 'davidfreestone'
# TODO(David): This might be easy to put into Cython
import numpy as np
from scipy.special import gamma
def rrand(r, rho, N, size=1):
if np.abs(rho)>=1:
return np.ones(size)
y = rcdf(r, rho, N)
u = np.random.rand(size)
idx = np.searchsorted(y, u)
return r[id... |
import FWCore.ParameterSet.Config as cms
from PhysicsTools.NanoAOD.nano_eras_cff import *
from PhysicsTools.NanoAOD.common_cff import *
from PhysicsTools.NanoAOD.jets_cff import fatJetTable as _fatJetTable
from PhysicsTools.NanoAOD.jets_cff import subJetTable as _subJetTable
jetMCTable = cms.EDProducer("SimpleCandida... |
import os
#Path for the INPUT file to get the network topology information from the user
my_path = os.path.abspath(os.path.dirname(__file__))
path = os.path.join(my_path, "Net_topology.txt")
#Get the data from the user to create the topology document by writing the file
with open(path, "w") as f:
number_of_... |
import logging
import deeprank.config
class useLevelsFilter(logging.Filter):
def __init__(self, levels):
if not isinstance(levels, (tuple, list)):
levels = (levels, )
self.levelnos = [getattr(logging, i) for i in levels]
def filter(self, record):
if record.levelno in self... |
#SPDX-License-Identifier: MIT
from augur.application import Application
from augur.augurplugin import AugurPlugin
from augur import logger
class MetricsStatusPlugin(AugurPlugin):
"""
This plugin serves as an example as to how to load plugins into Augur
"""
def __init__(self, augur):
self.__metr... |
#
# This file is part of softboxen software.
#
# Copyright (c) 2020, Ilya Etingof <etingof@gmail.com>
# License: https://github.com/etingof/softboxen/LICENSE.rst
#
import json
import sys
import unittest
from unittest import mock
from softboxen.client.resources.box import box
from softboxen.client.resources.box import... |
import json
import logging
from dateutil.parser import parse
from datetime import datetime
from ugeapi.get_hostip import get_hostip
def process_host(host_data: object, time: int) -> list:
"""
Process host data according to the schema
"""
all_data = {}
data_points = []
jobs_detail = {}
c... |
# Copyright (C) 2021-2022 Modin authors
#
# SPDX-License-Identifier: Apache-2.0
"""Core base actor specific functionality."""
from .common import filter_arguments
class ActorMethod:
"""
A class that is base for any actor method class specific for the backend.
This wraps an instance of the child class, ... |
import numpy as np
import pytest
from conftest import prostate_data
from autorad.visualization.plot_volumes import BaseVolumes
image_path = prostate_data["img"]
mask_path = prostate_data["seg"]
@pytest.mark.parametrize("constant_bbox", [True, False])
def test_from_nifti(constant_bbox):
volumes = BaseVolumes.fro... |
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# 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... |
import unittest
import tkp.db.consistency as db_consistency
import tkp.db
from tkp.testutil.mock import Mock
class MockResult(object):
def __init__(self, result):
self.result = result
def fetchone(self):
return self.result
class TestDBConsistencyCheck(unittest.TestCase):
def test_is_consi... |
from abc import ABC, abstractmethod
class Config(ABC):
production = False
@property
@abstractmethod
def attestation_verifier_class(self):
...
@property
@abstractmethod
def assertion_verifier_class(self):
...
|
import sys
from doubly_linked_list import DoublyLinkedList
class Queue:
def __init__(self):
self.size = 0
# Why is our DLL a good choice to store our elements?
self.storage = DoublyLinkedList()
def enqueue(self, value):
# add the value to the DLL
self.storage.add_to_ta... |
from functools import reduce
import numpy as np
import torch
from .kernels import GaussianKernel
class KernelRegressionEnvironment:
def __init__(self, num_basis_elems, d, kernel, noise=0.1, device="cpu"):
self.num_basis_elems = num_basis_elems
self.d = d
# We don't want to training the e... |
from __future__ import unicode_literals
import os
import click
DOT = "\u2603"
DASH = "\u26C4\u26C4\u26C4"
MORSE = {
'a': (DOT, DASH),
'b': (DASH, DOT, DOT, DOT),
'c': (DASH, DOT, DASH, DOT),
'd': (DASH, DOT, DOT),
'e': (DOT,),
'f': (DOT, DOT, DASH, DOT),
'g': (DASH, DASH, DOT),
'h'... |
import streamlit as st
from pydantic import BaseModel
from typing import Union
import streamlit_pydantic as sp
class PostalAddress(BaseModel):
street: str
city: str
house: int
class EmailAddress(BaseModel):
email: str
send_news: bool
class ContactMethod(BaseModel):
contact: Union[PostalA... |
from django.contrib import admin
from readme.models import Readme
# Register your models here.
admin.site.register(Readme)
|
from django.test import TestCase
from rest_framework import status
from rest_framework.test import APIClient
from .app_urls import(
register_url, reset_password_url, login_url,
new_passord_url, activate_url
)
from .test_data import valid_user, invalid_token, expired_token
class RequestNewPasswordTestCase(Te... |
# -*- coding: utf-8 -*-
"""
@author: Vitor Baldoino
Think Python, 2ed. Chapter 3.
"""
def right_justify(s):
num_char = len(s)
missing_chars = 70 - num_char
print(' ' * missing_chars + s)
|
# Copyright 2020 Makani Technologies 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 to... |
from enum import Enum
from dapr.proto import common_v1
from typing import Dict, Optional, Union
class Consistency(Enum):
"""Represents the consistency mode for a Dapr State Api Call"""
unspecified = common_v1.StateOptions.StateConsistency.CONSISTENCY_UNSPECIFIED # type: ignore
eventual = common_v1.StateO... |
from actstream.models import Action
from mayan.apps.common.tests.base import GenericViewTestCase
from ..events import event_role_created, event_role_edited
from ..permissions import permission_role_create, permission_role_edit
from .mixins import RoleTestMixin, RoleViewTestMixin
class RoleEventsTestCase(RoleTestMi... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import base64
import sys
from os.path import join, dirname, realpath
from flask import Flask, request, jsonify
import cifar_cnn.details as details
from nas_cnn.prediction import get_class
from prediction import get_next
sys.path.append('.')
app = Flask(__name__)
UPLOADS_PATH =... |
import csv
import hashlib
import json
from pathlib import Path
from PIL import Image
import torchbearer as tb
from model import SKETCHES, RECEIVER_IMAGES
from torchbearer import Callback
class GameLogger(Callback):
def __init__(self, args, transform=None, sketch_transform=None):
self.transform = transfo... |
import os
import logging
import warnings
import argparse
import numpy as np
from tqdm import tqdm
import torch
from torch.utils.data import DataLoader
from datasets.generic import Batch
from datasets.flyingthings3d_hplflownet import FT3D
from datasets.kitti_hplflownet import Kitti
from model.RAFTSceneFlow import RSF
... |
from ..client import Client
class ProductTargeting(Client):
def create_targets(self, params):
self.uri_path = "/v2/sp/targets"
self.method = "post"
self.data = params
return self.execute()
def update_targets(self, params):
self.uri_path = "/v2/sp/targets"
self... |
import pandas as pd
import numpy as np
import seaborn as sn
import matplotlib.pyplot as plt
import time
dataset = pd.read_csv('new_appdata10.csv')
## Data Preprocessing
response = dataset["enrolled"]
dataset = dataset.drop(columns = 'enrolled')
from sklearn.model_selection import train_test_split
X_tr... |
from gaia.EnvironmentLauncher import EnvironmentLauncher
class EnvironmentManager:
def __init__(self, gaia):
self.gaia = gaia
self.ensure_eb_app_in_all_regions()
self.environment_launchers = []
self.cb = None
def ensure_eb_app_in_all_regions(self):
for region in self.... |
def setup():
size(500, 500)
smooth()
background(0)
strokeWeight(1)
i = 0
k = 1
flug = 1
def draw():
global i
global k
global flug
stroke(i, 20)
if(flug == 1):
line(mouseX, mouseY, 500, random(0, 500))
else:
line(mouseX, mouseY, 0, random(0, 500))
... |
# -*- coding: utf-8 -*-
'''
QSDsan: Quantitative Sustainable Design for sanitation and resource recovery systems
This module is developed by:
Joy Zhang <joycheung1994@gmail.com>
This module is under the University of Illinois/NCSA Open Source License.
Please refer to https://github.com/QSD-Group/QSDsan/blob/main/... |
class BaseScheme(object):
"""
Base class for versioning schemes
"""
def __init__(self, comparable, printable=None):
"""
Arguments:
comparable -- some object which can be compared to other objects of the
same type
printable -- a printable representation of the... |
from typing import Tuple
import cv2
import os
import numpy as np
import math
FileNameHighContrast = "HighContrastImage_Operation_"
FileNameLowContrast = "LowContrastImage_Operation_"
OperationName = ["TH_127","Mean","Median"]
def Save_Image(filename,img):
directory = path = r'IMAGEPATH'
os.chdir(... |
n1 = int(input('Digite um valor:\n'))
n2 = int(input('Digite outro valor:\n'))
soma = n1+n2
print(f'A soma de {n1} e {n2} vale {soma}')
|
import abc
from abc import abstractmethod
class Dataset(abc.ABC):
@abstractmethod
def fetch_entries(self):
"""
Returns fetched entries as Iterable[dict].
Each entry is a dict with the following keys:
- "content": raw content of the entry (e.g., HTML)
- "... |
import matplotlib.pyplot as plt
import numpy as np
import math
x = np.random.randint(10, 50, 24)
y = np.random.randint(12, 60, 24)
fig, ax = plt.subplots()
ax.scatter(x, y)
ax.set_title('Random points')
plt.show()
grid_size = 1
h = 10
x_min = min(x)
x_max = max(x)
y_min = min(y)
y_max = max(y)
x_grid = np.arange ... |
import re
from pathlib import Path
import pytest
from pydantic import ValidationError
import copier
from copier.config.factory import make_config
from copier.config.objects import DEFAULT_EXCLUDE, ConfigData, EnvOps
from copier.config.user_data import (
InvalidConfigFileError,
MultipleConfigFilesError,
lo... |
from .csv import CSV # noqa: F401
from .kafka import Kafka # noqa: F401
|
"""
The ReportableQty class
"""
#***************************************************************************************************
# Copyright 2015, 2019 National Technology & Engineering Solutions of Sandia, LLC (NTESS).
# Under the terms of Contract DE-NA0003525 with NTESS, the U.S. Government retains certain right... |
# python3
# Copyright 2021 InstaDeep Ltd. All rights reserved.
#
# 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 applic... |
for i in range(int(input())):
n = int(input())
d = {}
a = [int(j) for j in input().split()]
for j in a:
if(j in d):
d[j]+=1
else:
d[j]=1
if(max([j for j in list(d.values())]) <= int(n/2)):
print('Yes')
else:
print('No')
|
import sys
import typing
import numba as nb
import numpy as np
MOD = 998_244_353
S = typing.TypeVar('S')
@nb.njit
def fw_build(
op: typing.Callable[[S, S], S],
a: np.ndarray,
) -> np.ndarray:
n = len(a)
fw = np.empty((n + 1, ) + a.shape[1:], np.int64)
fw[1:] = a.copy()
for i in range... |
from mlep import __version__
def test_version():
assert __version__ == '0.1.1.dev3'
|
# jogue par ou impar com o computador,
#o jogo será interrompido quando o jogador perder;
#mostrandoo a quantidade de vitorias consecutivas
from random import randint
from time import sleep
dedosmao = [0 , 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
vitórias = 0
print("~^~"*16)
print(" P A R OU I M P A R!")
print("~^~"*16... |
import os
import flopy
import numpy as np
def test_usg_disu_load():
pthusgtest = os.path.join('..', 'examples', 'data', 'mfusg_test',
'01A_nestedgrid_nognc')
fname = os.path.join(pthusgtest, 'flow.disu')
assert os.path.isfile(fname), 'disu file not found {}'.format(fname)
... |
# Faça um algoritmo que leia um preço de um produto,
# e mostre seu novo preço, com 5% de desconto.
p = float(input('Preço do produto(R$): '))
d = float(input('Desconto (%): '))
pcd = p-(p*(d/100))
print('O valor com {}% de desconto é R${:.2f}'.format(d, pcd))
|
from operator import itemgetter
from nodeconductor.logging import elasticsearch_client
from nodeconductor.logging.log import event_logger
class ElasticsearchDummyClient(elasticsearch_client.ElasticsearchClient):
# We do not need connection with real elasticsearch
def __init__(self):
pass
def _g... |
from .node import Tnode_Op, Onode_Op, Anode_Op
from .base import *
from aognet.aog.aog_1d import *
eps = 2e-5
def aog_unit(data, cfg, aog, in_channels, out_channels, stride=(1, 1), bn_mom=0.9, workspace=512, name=''):
def calculate_slices(dim, channels):
slices = [0] * dim
for i in range(channels... |
#author Kollen Gruizenga
#recursive function to take string S and int N, return
#string S repeated N times
def repeatNTimes(S, N):
if N == 0:
return ''
else:
return S + repeatNTimes(S, N-1)
|
import django
from django.contrib import admin
from django.views.decorators.csrf import csrf_exempt
from graphene_django.views import GraphQLView
if django.VERSION >= (2, 0):
from django.urls import path
urlpatterns = [
path("admin/", admin.site.urls),
path(
"graphql", csrf_exempt(... |
from math import sqrt, log
import numpy as np
from .IndexAlgorithm import IndexAlgorithm
class UCBTuned(IndexAlgorithm):
""" Ref:
Finite-time analysis of the multiarmed bandit problem Peter Auer, Nicolò Cesa-Bianchi and Paul Fischer.
"""
def start_game(self):
self.t = 1
self.... |
__doc__ = """
QCP rotation calculation
This is an RMSD and optimal rotation calculator, written in pure Python. The
goal of this is to allow the code to be run in a JIT compiler such as PyPy,
Jython that cannot interface with extern C modules, such as numpy.
The algorithm was originally developed by Douglas Theobal... |
# -*- coding: utf-8 -*-
"""
zang.domain.carrier_lookup
~~~~~~~~~~~~~~~~~~~
`Carrier` model
"""
from zang.domain.base_resource import BaseResource
class CarrierLookup(BaseResource):
_strs = [
'sid',
'account_sid',
'phone_number',
'network',
'country_code',
'mnc',
... |
import torch.nn as nn
import torch.nn.functional as F
class CustomL1Loss(nn.Module):
def __init__(self, reduction='mean'):
super().__init__()
if reduction == 'sum':
self.sum_outputs = True
elif reduction == 'sum':
self.sum_outputs = False
else:
... |
#
# This file is part of `gitflow`.
# Copyright (c) 2010-2011 Vincent Driessen
# Copyright (c) 2012-2013 Hartmut Goebel
# Distributed under a BSD-like license. For full terms see the file LICENSE.txt
#
from unittest2 import TestCase, skip
from gitflow.core import GitFlow
from tests.helpers.factory import create_git_r... |
import time
import datetime
from stocks.models import Stock
from django.shortcuts import get_object_or_404
def process_user_agent(data):
request = data['request']
remote_addr = request.META.get('HTTP_USER_AGENT')
if remote_addr == None:
return ""
else:
return remote_addr
def process_se... |
#def hook_fsb(pt):
# pt.verbose = True
# fsb_addr = 0x0000000000000C00
# hook_addr = pt.inject(asm=r'''
# mov rsi, rdi
# push 0x0a0d7325
# mov rdi, rsp
# add rsp, 8
# ret
# ''')
def hook_add(pt):
pt.verbose = True
ASLR = 0x0000555555554000
hello, size = pt.inject(raw='hello world... |
import pandas as pd
# The database
hockey_players = pd.read_csv('data/canucks.csv')
hockey_players
|
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