text stringlengths 2 999k |
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'''
Question 1 Skeleton Code
'''
import sklearn
import numpy as np
from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.naive_bayes import BernoulliNB
from sklearn.linear_model import LogisticRegression
from sklearn.linear_model im... |
# %%
from __future__ import print_function
import pickle
import numpy as np
import pandas as pd
from bitarray import bitarray
try:
# Open Babel >= 3.0
from openbabel import openbabel as ob
except ImportError:
import openbabel as ob
import sys
import os
import argparse
from time import time
# from timeout im... |
# TODO: CAMPid 0970432108721340872130742130870874321
import importlib
import pkg_resources
major = int(pkg_resources.get_distribution(__name__.partition('.')[0]).version.partition(".")[0])
def import_it(*segments):
m = {
"pyqt_tools": "pyqt{major}_tools".format(major=major),
"pyqt_plugi... |
# --------------------------------------------------------
# Faster R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick and Sean Bell
# --------------------------------------------------------
# ------------------------------------------------------... |
"""
postgres.store
~~~~~~~~~~~~~~
Interface with helper routines for persisting, finding,
etc from a postgresql database.
"""
import goldman
import goldman.exceptions as exceptions
import goldman.signals as signals
from ..base import Store as BaseStore
from ..postgres.connect import Connect
from gold... |
# -*- coding: utf-8 -*-
"""A Python implemntation of a kd-tree
This package provides a simple implementation of a kd-tree in Python.
https://en.wikipedia.org/wiki/K-d_tree
"""
from __future__ import print_function
import heapq
import itertools
import operator
import math
from collections import deque
from functools... |
from . import db
# connect class user to pitchperfect database
class User(db.Model):
__table__ = 'users'
id = db.Column() |
from speaker_encoder.data_objects.speaker_verification_dataset import SpeakerVerificationDataset
from speaker_encoder.data_objects.speaker_verification_dataset import SpeakerVerificationDataLoader
|
# Singly-linked lists are already defined with this interface:
class ListNode(object):
def __init__(self, x):
self.value = x
self.next = None
def condense_linked_list(node):
# Reference the current node's value
current = node
# List to store the values
condensed_list = []
# Loop... |
#!/usr/bin/python
#
# Copyright (c) 2016, Nest Labs, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright
# notice, thi... |
import eight_puzzle
from collections import deque
from copy import deepcopy
from time import time
from operator import attrgetter
class eight_puzzle_node():
def __init__(self, puzzle, choice, choiceList, nodeId):
result = False
self.puzzle_state = puzzle.make_child()
if choice != '.':
... |
# -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
#... |
import numpy as np
import ray
from garage import TimeStepBatch
from garage.envs import GarageEnv, PointEnv
from garage.experiment import deterministic, LocalRunner
from garage.sampler import LocalSampler, WorkerFactory
from garage.torch.algos import BC
from garage.torch.policies import DeterministicMLPPolicy, Gaussian... |
from django.apps import AppConfig
class AgentsConfig(AppConfig):
name = 'geoq.agents'
verbose_name = 'GeoQ Agents' |
import tensorflow as tf
from tensorflow.keras.initializers import RandomUniform
from tensorflow.keras.layers import concatenate, Input, Activation, Add, Conv2D, Lambda
from tensorflow.keras.models import Model
from ISR.models.imagemodel import ImageModel
WEIGHTS_URLS = {
'gans': {
'arch_params': {'C': 4, ... |
# Copyright 2020 - 2021 MONAI Consortium
# 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 wri... |
#!/usr/bin/env python2
#
# Simulate pool allocator behavior against a memory allocation log written
# by duk_alloc_logging.c or in matching format. Provide commands to provide
# statistics and graphs, and to optimize pool counts for single or multiple
# application profiles.
#
# The pool allocator simulator incor... |
from pyradioconfig.parts.common.calculators.calc_profile_base_beta1 import CALC_Profile_Base
class Calc_Legacy_Vars_Ocelot(CALC_Profile_Base):
#Inherit all for now
pass |
import os
from argparse import ArgumentError
from string import Template
import yaml
class Docker(object):
@staticmethod
def _get_main_docker_compose_service():
for name, info in Docker._gel_all_docker_compose_services().items():
if 'build' in info:
return name
@stati... |
from django import template
import json
register = template.Library()
@register.filter
def percent_of(value, arg):
"""Removes all values of arg from the given string"""
return round(value/arg *100)
@register.filter
def to_int(value):
return round(value)
@register.filter
def to_json(value):
return json.dump... |
# -*- coding: utf-8 -*-
# A li’l class for data URI manipulation in Python.
# Source: https://gist.github.com/zacharyvoase/5538178
# This code is released under the Unlicense (c.f. http://unlicense.org/).
import mimetypes
import re
import urllib
MIMETYPE_REGEX = r'[\w]+\/[\w\-\+\.]+'
_MIMETYPE_RE = re.compile('^{}$... |
from diofant.combinatorics import (AbelianGroup, AlternatingGroup, CyclicGroup,
DihedralGroup, SymmetricGroup)
__all__ = ()
def test_SymmetricGroup():
G = SymmetricGroup(5)
elements = list(G.generate())
assert (G.generators[0]).size == 5
assert len(elements) == 120... |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import itertools as it
import urllib
from bob.data_table import DataTableColumn
from django.contrib import messages
from django.core.urlresolve... |
from flask_wtf import FlaskForm
from flask_wtf.file import FileField, FileAllowed
from wtforms import StringField, PasswordField, SubmitField, BooleanField
from wtforms.validators import DataRequired, Length, Email, EqualTo, ValidationError
from flask_login import current_user
from ..models import User
class Registra... |
#!/usr/bin/env python
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# ---------------------------------------------... |
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 29 00:13:43 2020
Multilevel inheritece
@author: Ayush Gupta
"""
class A: #base class
def class_a_method(self):
return 'i\'m just a method'
def hello(self): #class fuction
return 'hello from... |
import copy
import numpy as np
import torch
import os
import sys
sys.path.insert(0, os.environ['ALFRED_ROOT'])
from agents.utils.misc import extract_admissible_commands
def evaluate_vision_dagger(env, agent, num_games, debug=False):
env.seed(42)
agent.eval()
episode_no = 0
res_points, res_steps, res_... |
#!/usr/bin/python
# coding: utf-8 -*-
# Copyright (c) 2014 Hewlett-Packard Development Company, L.P.
# Copyright (c) 2013, Benno Joy <benno@ansible.com>
# Copyright (c) 2013, John Dewey <john@dewey.ws>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import ... |
# Copyright 2018 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... |
from django.contrib import admin
from .models import Tag, Project
# Register your models here.
admin.site.register(Project)
admin.site.register(Tag) |
class Color():
BLACK = lambda x: '\u001b[30m' + str(x)
RED = lambda x: '\u001b[91m' + str(x)
GREEN = lambda x: '\u001b[92m' + str(x)
YELLOW = lambda x: '\u001b[93m' + str(x)
BLUE = lambda x: '\u001b[94m' + str(x)
MAGENTA = lambda x: '\u001b[95m' + str(x)
CYAN = lambda x: '\u001b[96m' + str(x... |
# -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any... |
# Generated by Django 3.0.4 on 2020-03-30 19:53
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main', '0003_auto_20200326_0012'),
]
operations = [
migrations.AddField(
model_name='createshoprecommendation',
name... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author: Donny You(donnyyou@163.com)
# Make proposals that each consists of all possible keypoints.
import math
import numpy as np
import torch
from scipy.spatial.distance import cosine
from scipy.ndimage.filters import gaussian_filter
from torch.autograd import Variable
... |
DB_NAME = 'otus_web_06'
|
"""Python parser generator
This parser generator transforms a Python grammar file into parsing tables
that can be consumed by Python's LL(1) parser written in C.
Concepts
--------
* An LL(1) parser (Left-to-right, Leftmost derivation, 1 token-lookahead) is a
top-down parser for a subset of context-free languages.... |
class Linear(Module):
__parameters__ = ["weight", "bias", ]
__buffers__ = []
weight : Tensor
bias : Tensor
training : bool
def forward(self: __torch__.torch.nn.modules.linear.___torch_mangle_9502.Linear,
argument_1: Tensor) -> Tensor:
_0 = self.bias
output = torch.matmul(argument_1, torch.t(self... |
# Author: Yuan Yao <yy682@cornell.edu>
#
# This file is an example to set the environment.
# The configs will be used in shciscf.py
#
import os
PYSCF_HOME = '/home/yuanyao/pyscf_my_csv/'
SHCIEXE = '/home/yuanyao/SHCI/shci/shci_64'
SHCIRUNTIMEDIR = '.'
MPIPREFIX = ''
SHCILIB = PYSCF_HOME + 'pyscf/future/shciscf/SHCI_... |
# -*- coding: utf-8 -*-
from common import *
def test_1282(env):
conn = getConnectionByEnv(env)
env.expect('FT.CREATE', 'idx', 'ON', 'HASH', 'SCHEMA', 'txt1', 'TEXT').ok()
env.assertEqual(conn.execute_command('hset', 'doc1', 'txt1', 'foo'), 1)
# optional search for new word would crash server
env.expect('F... |
# -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2018, 2020.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any... |
import os
import time
import boto3
import pytest
from moto import mock_s3
from megfile.lib import s3_share_cache_reader
from megfile.lib.s3_share_cache_reader import S3ShareCacheReader
from megfile.utils import thread_local
from tests.test_s3 import s3_empty_client
BUCKET = 'bucket'
KEY = 'key'
def... |
import torch
import torch.nn as nn
from args import get_parser
# read parser
parser = get_parser()
args = parser.parse_args()
class Norm(nn.Module):
def forward(self, input, p=2, dim=1, eps=1e-12):
return input / input.norm(p, dim, keepdim=True).clamp(min=eps).expand_as(input)
class LstmFlatten(nn.Module... |
import string
import pytest
from spelling import suggest_word, load_words
@pytest.fixture(scope="module")
def a_words():
"""Get only a[abcdefghijklm]-words to speed up tests"""
words = load_words()
return {
word
for word in words
if word.startswith("a")
and len(word) > 1
... |
from sklearn.linear_model import LogisticRegression
from MLFeatureSelection import sequence_selection as ss
from sklearn.metrics import log_loss
import pandas as pd
import numpy as np
from sklearn.model_selection import KFold
def prepareData():
df = pd.read_csv('clean_train.csv')
Title = list(np.unique(df.Titl... |
import numpy as np
from skimage.restoration import inpaint
from skimage._shared import testing
from skimage._shared.testing import assert_allclose
def test_inpaint_biharmonic_2d():
img = np.tile(np.square(np.linspace(0, 1, 5)), (5, 1))
mask = np.zeros_like(img)
mask[2, 2:] = 1
mask[1, 3:] = 1
ma... |
# Check that the LNT REST JSON API is working.
# create temporary instance
# RUN: rm -rf %t.instance
# RUN: python %{shared_inputs}/create_temp_instance.py \
# RUN: %s %{shared_inputs}/SmallInstance \
# RUN: %t.instance %S/Inputs/V4Pages_extra_records.sql
#
# RUN: python %s %t.instance %{tidylib}
import unitte... |
from django.contrib import admin
from django102.models.game import Game
from django102.models.person import Person
from django102.models.player import Player
class GameAdmin(admin.ModelAdmin):
filter_horizontal = ('players',)
admin.site.register(Game, GameAdmin)
admin.site.register(Player)
admin.site.register(... |
import sys
import os
import errno
import subprocess
import json
import platform
import zlib
import base64
import binascii
import shutil
if __name__ == "__main__":
print("-----------------");
print("Debugging");
dir = sys.path[0];
platform = "android";
count = 0;
print("Command line arguments: " + str(len(s... |
"""
@author: Nicklas Ansman-Giertz
@contact: U{ngiertz@splunk.com<mailto:ngiertz@splunk.com>}
@since: 2011-11-23
"""
from abc import ABCMeta, abstractmethod
from builtins import object
from future.utils import with_metaclass
class Collection(with_metaclass(ABCMeta, object)):
"""
A Collection metaclass that ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Stakkr documentation build configuration file, created by
# sphinx-quickstart on Mon Jul 10 13:30:18 2017.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# aut... |
import
n = str(input('Digite o seu nome: ')).split
print('O seu nome tem Silva? {}'.format('silva' in n.lower())) |
"""Tests for the MCP"""
import mock
import multiprocessing
from mock import patch
from helper import config
from rejected import mcp
from . import test_state
class TestMCP(test_state.TestState):
CONFIG = {'poll_interval': 30.0, 'log_stats': True, 'Consumers': {}}
@patch.object(multiprocessing, 'Queue')
... |
import pytest
import time
from indy_common.authorize.auth_constraints import AuthConstraint, \
AuthConstraintAnd, \
AuthConstraintOr, ConstraintsEnum
from indy_common.authorize.authorizer import CompositeAuthorizer, RolesAuthorizer, AndAuthorizer, OrAuthorizer, \
AuthValidationError
from indy_common.types ... |
# Copyright 2018 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... |
from vendingmachine.location import Location
from vendingmachine.machine import Machine
from vendingmachine.database import Database
from django.shortcuts import render
from django.shortcuts import redirect
from django.http import HttpResponse
from pprint import pprint
db = Database()
def index(request):
id = requ... |
# coding=utf-8
# Copyright 2018 DPR Authors, The Hugging Face Team.
#
# 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 a... |
# Copyright 2019 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... |
from django.urls import path
from rest_framework.urlpatterns import format_suffix_patterns
from graphene_django.views import GraphQLView
from graphql_jwt.decorators import jwt_cookie
from django.views.decorators.csrf import csrf_exempt
from api.menu import rest_api
app_name = 'menu'
urlpatterns = [
path('', csrf... |
# -*- coding: utf-8 -*-
# pylint: disable=dangerous-default-value
# pylint: disable=global-statement
import asyncio
import logging
import os
import sys
import json
from pathlib import Path
import dash
import dash_core_components as dcc
import dash_html_components as html
from flask import Flask, Blueprint, Response
i... |
import os
import string
import random
import pytest
from jina.executors.metas import get_default_metas
@pytest.fixture(scope='function')
def random_workspace_name():
"""Generate a random workspace name with digits and letters."""
rand = ''.join(random.choices(string.ascii_uppercase + string.digits, k=6))
... |
from __future__ import absolute_import
import rlp
from cytoolz import (
curry,
)
from eth_utils import (
to_tuple,
ValidationError,
)
@to_tuple
def diff_rlp_object(left, right):
if left != right:
rlp_type = type(left)
for field_name, field_type in rlp_type._meta.fields:
... |
import unittest
from decimal import Decimal
from wexapi.models import OrderInfo
class TestOrderInfo(unittest.TestCase):
def test_create_valid(self):
data = {
"order_id": "343152",
"pair": "btc_usd",
"type": "sell",
"start_amount": 13.345,
"amount... |
# baleen.export
# Export an HTML corpus for analyses with NLTK
#
# Author: Benjamin Bengfort <benjamin@bengfort.com>
# Created: Fri Oct 03 16:49:20 2014 -0400
#
# Copyright (C) 2014 Bengfort.com
# For license information, see LICENSE.txt
#
# ID: export.py [eb962e7] benjamin@bengfort.com $
"""
Export an HTML corpus ... |
# Copyright 2020 - 2021 MONAI Consortium
# 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 wri... |
from __future__ import print_function
import sys
class Backbone(object):
""" This class stores additional information on backbones.
"""
def __init__(self, backbone):
# a dictionary mapping custom layer names to the correct classes
from .. import layers
from .. import losses
... |
#!/usr/bin/env python3
import matplotlib.pyplot as plt
import numpy as np
update_variables_Adam = __import__('9-Adam').update_variables_Adam
def forward_prop(X, W, b):
Z = np.matmul(X, W) + b
A = 1 / (1 + np.exp(-Z))
return A
def calculate_grads(Y, A, W, b):
m = Y.shape[0]
dZ = A - Y
dW = np.... |
import os
import json
import time
from services.proto import database_pb2
from services.proto import recommend_posts_pb2_grpc
from services.proto import recommend_follows_pb2_grpc
from utils.users import UsersUtil
from utils.connect import get_service_channel
class RecommendersUtil:
def __init__(self, logger, db... |
from flask import render_template, request, url_for, jsonify, Blueprint, current_app, g, redirect, abort
from models import Zoom
from utils import prepareDatapoints, prepareBasicDatapoints, prepareBounds
main = Blueprint('main', __name__, template_folder='templates', static_folder='static')
@main.route("/")
def index... |
#!/usr/bin/env python
'''
run like this:
python setOverheadValues.py 123 129
to test values from 123 to 129, etc.
'''
import time
import math
import sys
import HC595_shift_reg as shifter
reg = shifter.HC595()
shift_register_state = [0, 0, 0, 0, 0]
def turn_on_light(trk_value):
shift_reg... |
from unittest import TestCase
import pytest
from hubblestack.audit import command_line_parser
from hubblestack.exceptions import HubbleCheckValidationError
class TestCommandLineParser(TestCase):
"""
Unit tests for command_line_parser module
"""
def testValidateParams1(self):
"""
Mand... |
SECRET_KEY = '1234'
DEBUG = True
MONGODB_DB=''
MONGODB_HOST=''
MONGODB_PORT=# a int
MONGODB_USERNAME=''
MONGODB_PASSWORD=''
|
from collections import namedtuple
import itertools
import unittest.mock
import requests.exceptions
import pytest
import gitlab
import repobee_plug as plug
import _repobee
import constants
PAGE_SIZE = 10
class Group:
"""Class mimicking a gitlab.Group"""
_Members = namedtuple("_Members", ("create", "list"... |
sets = [set(), {1}, {1, 2, 3}, {3, 4, 5}, {5, 6, 7}]
args = sets + [[1], [1, 2], [1, 2 ,3]]
for i in sets:
for j in args:
print(i.issubset(j))
print(i.issuperset(j))
print("PASS") |
from my_raytracer import *
(width, height) = (1920, 1080) # 屏幕尺寸
resolution= height/width
light_pos = vec3(-1, 2, -2) # 点光源位置
center = vec4(0, 0, 0, 0) # 摄像机位置
focal_length= 200
shape_ground = Plane(vec3(0, -0.5, 0), vec3(0, 1, 0), diffuse_color_function=lambda p:WHITE)
shape_cube= Cube(1, 1, 1,... |
# %% [markdown]
# # 📝 Exercise M4.01
#
# The aim of this exercise is two-fold:
#
# * understand the parametrization of a linear model;
# * quantify the fitting accuracy of a set of such models.
#
# We will reuse part of the code of the course to:
#
# * load data;
# * create the function representing a linear model.
#
... |
from os import environ as env
from glob import glob
import datetime
import dropbox
FILENAME = 'build/libs/WhoWas.jar'
def main():
client = dropbox.client.DropboxClient(env.get('DROPBOX_ACCESS_TOKEN'))
base = FILENAME.split('/')[2].split('.jar')[0]
date = datetime.datetime.now().strftime("%Y-%m-%d")
b... |
import math
import torch
import torch.nn.functional as F
from torch import nn
from torch.cuda.amp import autocast
from functools import partial
# helpers
def exists(val):
return val is not None
def empty(tensor):
return tensor.numel() == 0
def default(val, d):
return val if exists(val) else d
def get_... |
# Copyright 2019 Google LLC. 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 applicable law or a... |
from setuptools import setup, find_packages
from os.path import abspath, dirname, join as ospjoin
import re
here = abspath(dirname(__file__))
def find_version(filename):
with open(filename, 'r') as f:
version_file = f.read()
version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]",
... |
# Generated by Django 3.0.2 on 2020-01-27 16:21
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('banco_proyectos', '0002_residente_usuario'),
]
operations = [
migrations.AddField(
model_name='residente',
name='nom... |
from setuptools import setup
setup(
name='UkPostcodeParser',
version='1.1.2',
author='Simon Brunning',
author_email='simon@brunningonline.net',
packages=['ukpostcodeparser', 'ukpostcodeparser.test'],
url='https://github.com/hamstah/ukpostcodeparser',
description='UK Postcode parser',
li... |
import unittest
import os
from gimmemotifs.denovo import gimme_motifs
from gimmemotifs.motif import read_motifs, motif_from_consensus
from gimmemotifs.comparison import MotifComparer
from tempfile import mkdtemp
class TestDenovo(unittest.TestCase):
"""A test class to test gimme_motifs denovo"""
def setUp(sel... |
# Copyright 2022 OpenMined.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... |
from random import randint
from datetime import datetime
class Wishes:
def __init__(self):
self.dic = ["{} Sir ! I am here to Help You" , "{} Sir Glad to See You"]
# print(random.randint(3, 9))
@property
def wish(self):
w = randint(0 , 1)
t = int(datetime.now().st... |
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
import helpers as HL
SMALL_SIZE = 15
MEDIUM_SIZE = 25
BIGGER_SIZE = 30
plt.rc('font', size=SMALL_SIZE) # controls default text sizes
plt.rc('axes', titlesize=SMALL_SIZE) # fontsize of the axes title
plt.rc('axes', labelsize=MEDIUM_... |
#!/usr/bin/env python
from distutils.core import setup
setup(
name='tumbkit',
version='0.1',
description='Tumbkit',
author='Stefan De Boey',
url='http://github.com/sdb/tumbkit',
license='MIT',
py_modules=['tumbkit'],
requires=['bottle']
)
|
#!/bin/python
# usage:
# cat clAmdBlas.h | $0
from __future__ import print_function
import sys, re;
from common import remove_comments, getTokens, getParameters, postProcessParameters
try:
if len(sys.argv) > 1:
f = open(sys.argv[1], "r")
else:
f = sys.stdin
except:
sys.exit("ERROR. Can... |
"""
The HomeMatic sensor platform.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/sensor.homematic/
"""
import logging
from homeassistant.components.homematic import ATTR_DISCOVER_DEVICES, HMDevice
from homeassistant.const import STATE_UNKNOWN
_LOGGER ... |
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 6 23:45:59 2017
@author: yxl
"""
import os, sys, os.path as osp
from glob import glob
from ..engine import Macros, Widget, Report
from sciapp import Source
from ... import root_dir
from codecs import open
def getpath(root, path):
for i in range(10,0,-1):
if ... |
# -*- coding: utf-8 -*-
# ---------------------------------------------------------------------
# Huawei.VRP.get_vlans
# ---------------------------------------------------------------------
# Copyright (C) 2007-2017 The NOC Project
# See LICENSE for details
# -----------------------------------------------------------... |
#! /usr/bin/env python
# coding: utf-8
# __author__ = 'meisanggou'
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
import sys
if sys.version_info <= (2, 7):
sys.stderr.write("ERROR: dms requires Python Version 2.7 or above.\n")
sys.stderr.write("Your Python Ve... |
# Generated by Django 3.1.4 on 2020-12-01 11:16
from django.db import migrations
import taggit.managers
class Migration(migrations.Migration):
dependencies = [
('taggit', '0003_taggeditem_add_unique_index'),
('library', '0004_auto_20201201_1100'),
]
operations = [
migrations.Add... |
class TestClassMethod():
def nothing(self, a, b):
return a + b
@classmethod
def test_classmethod(cls, a, b):
return a + b
@staticmethod
def test_staticmethod(a, b):
return a + b
print(TestClassMethod.nothing(None, 2, 3))
print(TestClassMethod().nothing(2, 3))
print(Test... |
from typing import Optional
from pydantic import BaseModel
class UserBase(BaseModel):
is_active: Optional[bool] = True
is_superuser: bool = False
full_name: Optional[str] = None
class UserInDBBase(UserBase):
id: Optional[str] = None
|
# -*- coding: utf-8 -*-
import scrapy
import json
import re
from datetime import date
from locations.items import GeojsonPointItem
class AthletaSpider(scrapy.Spider):
name = "athleta"
item_attributes = {"brand": "Athleta"}
allowed_domains = ["stores.athleta.net"]
athleta_url = "http://stores.athleta... |
# Copyright 2019 The Kythe 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 applicable law... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 10 16:00:42 2019
@author: haoqi
"""
import torch
import torch.nn as nn
import pdb
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
# the model is based on CMU emotion
# Base_1D_NN_fixed_seq_len_1s_majvote_v2
class model_cnn_... |
#!/usr/bin/env python
# Copyright 2014-2020 The PySCF Developers. 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
#
# U... |
# coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.8.2
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import sys
import os
im... |
#!/usr/bin/env python3
from Crypto.Cipher import AES
from Crypto.Util.Padding import pad, unpad
import urllib.request
import base64
import binascii
import argparse
import json
import random
import os
import sys
import pprint
import configparser
G = int('A4D1CBD5C3FD34126765A442EFB99905F8104DD258AC507FD6406CFF14266D312... |
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