content stringlengths 5 1.05M |
|---|
from singa_auto import Client
# client = Client(admin_host='panda.d2.comp.nus.edu.sg', admin_port=3000)
client = Client(admin_host='ncrs.d2.comp.nus.edu.sg', admin_port=3000)
# client = Client(admin_host='localhost', admin_port=3000)
client.login(email='superadmin@singaauto', password='singa_auto')
print(client._use... |
from dataclasses import dataclass
@dataclass
class Weakness:
type: str
value: str
|
class Solution(object):
def validate(self, num, x, y):
s = str(x + y)
if num.startswith(s):
n = len(s)
if len(num) == n:
return True
return self.validate(num[n:], y, x + y)
return False
def isAdditiveNumber(self, num):
"""
... |
__source__ = 'https://leetcode.com/problems/unique-email-addresses/'
# Time: O()
# Space: O()
#
# Description: Leetcode # 929. Unique Email Addresses
#
# Every email consists of a local name and a domain name, separated by the @ sign.
#
# For example, in alice@leetcode.com, alice is the local name, and leetcode.com is... |
from jnt.matching.synset_fetchers import BabelNet, SenseClusters
from jnt.matching.matcher import Matcher
BABELNET_KEY = "" # insert a BabelNet API key here (not required)
ADAGRAM_BOW = "data/ddt-adagram-50.csv" # bow with Adagram nearest neighbours
BABELNET_BOW = "data/babelnet-bow-5190.pkl" # wget http://panchen... |
import logging
from operator import itemgetter
from anonlink._entitymatcher import ffi, lib
import sys
from . import bloommatcher as bm
from . import util
logging.basicConfig(level=logging.WARNING)
def python_filter_similarity(filters1, filters2):
"""Pure python method for determining Bloom Filter similarity
... |
# -*- coding: utf-8 -*-
#!/usr/bin/env python
## last modified by Robert Liu at 6/27/2019
## This script is used to merge DMstack output src files from two neighboring patches. And remove overlapped objects.
## Two neighbor patches have an overlap, where a same object has DIFFERENT ID in two patches. So, we need to mat... |
"""Initialize mister package."""
from .mister import * # noqa: F401,F403
|
import io
import re
from setuptools import setup
with io.open("README.md", "rt", encoding="utf8") as f:
readme = f.read()
with io.open("tefaswrapper/__init__.py", "rt", encoding="utf8") as f:
version = re.search(r'__version__ = "(.*?)"', f.read()).group(1)
setup(
name="tefas-wrapper",
version=versio... |
from baby_steps import given, then, when
from district42 import schema
from pytest import raises
from revolt import substitute
from revolt.errors import SubstitutionError
def test_dict_relaxed_no_keys_substitution():
with given:
sch = schema.dict({...: ...})
with when:
res = substitute(sch, ... |
# Copyright 2022 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... |
class TargetType(object):
name = ""
class Touch(TargetType):
name = "Touch"
class AreaOfEffect(TargetType):
name = "Area Of Effect"
def __init__(self, shape, radius):
self.shape = shape
self.radius = radius
class Room(TargetType):
name = "Room"
|
# Generated by Django 3.1.3 on 2020-11-21 20:02
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('Instagram', '0007_auto_20201121_1235'),
]
operations = [
migrations.CreateModel(
name='Comment'... |
from pytest import raises
from qsck import deserialize
def test_deserialize_is_a_function():
assert hasattr(deserialize, '__call__')
def test_it_returns_a_3tuple_with_identifier_timestamp_and_pairs_list():
qs_row = 'LOG,1546902289,_model=LG-M327'
identifier, timestamp, key_value_pairs = deserialize(qs... |
# -*- coding: utf-8 -*-
"""Effect with a pre-defied K kernel similiarity matrix."""
from sklearn.gaussian_process.kernels import Kernel
from .effect_base import EffectBase
from copy import deepcopy
import numpy as np
class EffectKernel(EffectBase):
"""
Kernel similarity effect.
If active parameter is... |
import os
import json
import sys
import csv
import time
projectPath = os.path.normpath(os.getcwd() + os.sep + os.pardir)
sys.path.append(projectPath)
import ots
import threading
from concurrent.futures import ThreadPoolExecutor
urlList = dict()
finalData = dict()
totalProcessed = 0
processLap = 0
class allUniver... |
"""Vera tests."""
from unittest.mock import MagicMock
import pyvera as pv
from homeassistant.components.climate.const import (
FAN_AUTO,
FAN_ON,
HVAC_MODE_COOL,
HVAC_MODE_HEAT,
HVAC_MODE_HEAT_COOL,
HVAC_MODE_OFF,
)
from homeassistant.core import HomeAssistant
from .common import ComponentFact... |
from hamcrest import assert_that, is_
from igd import proto
def describe_parse_port_mapping():
def it_extracts_fields_from_xml_response():
xml_resp = b"""
<?xml version="1.0"?>
<SOAP-ENV:Envelope xmlns:SOAP-ENV="http://schemas.xmlsoap.org/soap/envelope/" SOAP-ENV:encodingStyle="http://sch... |
"""Bunch of small functions doing for useful stuff for flmake"""
import re
import sys
import os
import string
import glob
import socket
import re
import time
import shutil
import subprocess
import tempfile
# relative imports needed
from .. import _metadata, FLASH_SRC_DIR, FLASH_CLEAN_SRC_DIR
from ..utils import strip_... |
from model import Maze, Cell
from settings import *
import multiprocessing as mp
import pickle
import random
import time
import sys
import os
def genMaze(maze):
running = True
while running:
if len(maze.q)==0:
break
maze.genPath()
with open(os.path.join(OUTPUT_DIR, f'maze_{maz... |
import requests
import pymongo
import pandas as pd
# key: fe53f97e
class ImdbToMongoDB:
def __init__(self, key):
self.url = "http://www.omdbapi.com/?apikey=" + key + "&i="
self.client = pymongo.MongoClient("mongodb+srv://jack:jackmongodb@cluster0-uagde.mongodb.net")
def readMovieFile(self, n... |
# Let's be a little defensive/assertive and be sure there aren't any lower-case comments.
assert not dta.violations.str.contains("comments").any()
dta["comments"] = dta.violations.str.extract("(?<=Comments:)(.+)", expand=False)
has_comments = dta.comments.notnull()
X
tfidf_vect = TfidfVectorizer(
stop_words='e... |
from slab_nlp.topic_bert import BertTopicSLab
if __name__ == '__main__':
docs = open(r'C:\Document\中共嘉兴\text.txt', encoding='UTF-8').readlines()
model = BertTopicSLab('中共BERT', docs)
# model.hierarchical_model()
model.model()
model.hierarchical_model()
# model.hierarchical_compare(20, 30)
|
import os
import sys
import math
import random
import time
from code.render.glfunctions import set_video_mode
from code.menu.menu import Menu
from code.controllers.intervalcontroller import IntervalController
from code.tools.eventqueue import EventQueue
from code.tools.xml import XMLParser
from code.game.univers... |
from web3 import Web3
from scripts.helpful_scripts import get_account
from brownie import SimpleContract
def deploy_and_create_blog():
account = get_account()
simple_contract = SimpleContract.deploy({"from":account})
tx = simple_contract.changeYourNumber(61,{"from":account})
tx.wait(1)
print(simple... |
import numpy as np
from matplotlib import pyplot as plt
import torch
from sklearn.svm import SVC
from scipy import ndimage
from scipy.interpolate import Rbf
from tqdm import tqdm
from time import time
from . import kernel
from .Obstacles import Obstacle
class CollisionChecker():
def __init__(self, obstacles):
... |
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 16 10:06:17 2021
@author: Andreas Traut
Problem:
Assume, that we have a weighted, directed graph with a source (origin) and
further nodes. Each path from one node to another node has a weight
(the time-delay). The quesion is: if a signal is starting from the source
... |
import logging
from django.conf import settings
from mkt.comm import utils_mail
from mkt.constants import comm
from mkt.extensions.models import Extension
from mkt.users.models import UserProfile
from mkt.site.storage_utils import private_storage
from mkt.webapps.models import Webapp
log = logging.getLogger('z.comm... |
"""
Code for creating the primary Flask app used by Fakebook
"""
from .views import add_routes, add_socketio_handlers
from .settings import settings
from .chat import handle_message
from flask import Flask
from flask_socketio import SocketIO
def create_app(name):
app = Flask(
name,
template_folde... |
"""Implement Buffer type as a base class to HeavyDB Array and Column types.
HeavyDB Buffer represents the following structure:
template<typename T>
struct Buffer {
T* ptr;
size_t sz;
...
}
that is, a structure that has at least two members where the first is
a pointer to some data type and the seco... |
#!/usr/bin/env python
""" A collectd-python plugin for obtaining
metrics from a running PgPoolII instance. """
import sys
from util import CollectdPlugin
from subprocess import check_output
class PgPool(CollectdPlugin):
""" Main plugin class """
def __init__(self, debug=False):
super(PgPool, s... |
#MIT License
#Copyright (c) 2019 Paul Harwood
#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... |
'''
Created on 27.12.2010
@author: felicitus
@warning This is my first python program ever. Feel free to fix, blame or burn.
'''
import usb.core
import usb.util
import array
import random
import sys
import time
import binascii
# find our device
dev = usb.core.find(idVendor=0x1235, idProduct=0x000a)
# was it found?
... |
from PyQt5 import QtWidgets, QtCore, QtGui
from typing import Union
class PolyMorphicFilterProxyModel(QtCore.QSortFilterProxyModel):
""" Polymorphic Filter Proxy Model
Used to filter based on SQLAlchemy types
"""
def __init__(self, filterClasses:set=None):
super().__init__()
if filte... |
from plotly.graph_objs import Bar, Layout
from plotly import offline
from die import Die
# Create three D6
die_1 = Die()
die_2 = Die()
die_3 = Die()
# Roll die many times and store the result in the list
results = []
for roll_num in range(1_000_000):
result = die_1.roll() + die_2.roll() + die_3.roll()
result... |
# -*- coding: utf-8 -*-
"""Swapnil Tamrakar Lab 5.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1PQqRpMYqhrdrMVmLmH3qDD4bRzJCeOT4
#### Copyright 2017 Google LLC.
"""
# Licensed under the Apache License, Version 2.0 (the "License");
# you may n... |
import os
from configparser import ConfigParser
class SimulatorConfig :
config_path = None
def __init__(self, sim_args):
config_parser = self.get_config_parser(sim_args.config)
## start parsing
self.parse_general_section(config_parser)
if self.family == "LDPC":
... |
""" Dataframe optimizations """
import operator
import numpy as np
from .. import config, core
from ..blockwise import Blockwise, fuse_roots, optimize_blockwise
from ..highlevelgraph import HighLevelGraph
from ..optimization import cull, fuse
from ..utils import ensure_dict
def optimize(dsk, keys, **kwargs):
if... |
import unittest
import numpy as np
from numpy.testing import assert_equal
from openmdao.utils.indexer import indexer
class IndexerTestCase(unittest.TestCase):
def test_int(self):
ind = indexer[4]
src = np.arange(10)
assert_equal(ind(), 4)
assert_equal(ind.as_array(), np.array([4... |
"""compressor.lib
High-level functions exposed as a library, that can be imported.
"""
from compressor.char_node import CharNode # pylint: disable=unused-import
from compressor.core import (create_tree_code, parse_tree_code,
process_frequencies)
from compressor.core import retrieve_compr... |
"""
Process StackOverflow data.
Some data points in this CV are specific, hence they are currently not automated
(or are hard to do like top N% this year).
Some statistics will probably be changed in the future.
"""
import sys
import loguru
import utils
def reached(text):
"""Return how many people got reach... |
import os
from django.contrib.gis.utils import LayerMapping
from .models import outpointMD
outpointmd_mapping = {
'경도' : '경도',
'위도' : '위도',
'이름' : '이름',
'geom' : 'POINT',
}
outpointMD_shp = os.path.abspath(os.path.join(os.path.dirname(__file__), 'data', '무등산 표주매설위치.shp'),)
def run(verbose=True):
l... |
from __future__ import absolute_import
import torch
import torch.nn as nn
import torchvision.models.vgg as refvgg
import torch.hub as hub
from torchvision.models import vgg16
from torchvision.ops import RoIPool
from model.region_proposal_network import RegionProposalNetwork
from model.faster_rcnn import FasterRCNN
fro... |
from rest_framework import serializers
from .models import Menu
class MenuSerializer(serializers.ModelSerializer):
"""
前端视图菜单序列化类
"""
class Meta:
model = Menu
fields = ("id", "path", "icon", "title", "show", "parent")
|
import cv2
import numpy as np
import os
import h5py
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split, cross_val_score
from sklearn.ensemble import RandomForestClassifier
from sklearn.decomposition import PCA as skPCA
impo... |
from __future__ import print_function
import tensorflow as tf
import numpy as np
def test_blas():
with tf.Graph().as_default():
with tf.Session(config=tf.ConfigProto(log_device_placement=False)) as sess:
with tf.device('/gpu:0'):
tf_a = tf.placeholder(tf.float32, [None, None],... |
import numpy as np
import matplotlib.pyplot as plt
input_data = np.array([1, 2, 3])
target = 0
weights = np.array([0, 2, 1])
updateNum = 20
mse_hist = []
def get_error(inputd, actual_target, weight):
predicts = (inputd * weight).sum()
error = predicts - actual_target
return error
def get_slope(inputd, ... |
# -*- coding: utf-8 -*-
import pyfits
from pylab import *
import Marsh
import numpy
import scipy
"""
----------------------------------------------------------------
The P Function.
Returns an array with the P[i][j] coefficients, the modeled
light fractions.
-----------------------------------------------------------... |
from unittest.mock import MagicMock
import pytest
from convtools import conversion as c
from convtools.columns import ColumnDef, MetaColumns
from convtools.contrib.tables import CloseFileIterator, Table
def test_table_base_init():
list(
Table.from_rows([(1, -2), (2, -3)], ["a", "b"])
.update(c=c... |
def test_updates(test_client, init_database):
'''
GIVEN an instance of LibrePatron
WHEN the updates page is requested
THEN check to make sure updates page is protected
'''
response = test_client.get('/updates')
assert response.status_code != 200
|
"""
DogFaceNet
Dataset retrieving for landmarks detection
Licensed under the MIT License (see LICENSE for details)
Written by Guillaume Mougeot
"""
import numpy as np
import os
import skimage as sk
import pandas as pd
from ast import literal_eval # string to dict
import matplotlib.pyplot as plt
from tqdm import tqdm
... |
from django.test import TestCase
from console_main.models import TrackUserPageVisits
from console_main.views import track_page_visit
from django.db.models import F
class BasicModelTest(TestCase):
def setUp(self) -> None:
self.did = 'modeltestDID'
TrackUserPageVisits.objects.create(did=self.did, na... |
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
import logging
import os
import sys
from datetime import datetime
# -- Path setup ----... |
from .object_behavior import ObjectBehavior
from .mocking_decorator import mock, mock_internal
|
"""
Select features for the machine learning model
"""
import pandas as pd
import numpy as np
from util import log
from sklearn.feature_selection import SelectPercentile
from sklearn.feature_selection import SelectFromModel
from sklearn.feature_selection import SelectFpr
from sklearn.feature_selection import SelectFd... |
import itertools
import logging
import base64
from collections import defaultdict, deque
from functools import reduce
from operator import mul
from sqlalchemy.dialects import postgresql
from raco import algebra, expression, rules, scheme
from raco import types
from raco.algebra import Shuffle
from raco.algebra import... |
import os
import subprocess
import tempfile
import nbformat
_TEST_DIR = os.path.abspath(
os.path.join(os.path.dirname(__file__), "..", "notebooks")
)
_EXCLUDE = []
def all_notebooks(path="."):
notebooks = []
for root, _, files in os.walk(path):
if ".ipynb_checkpoints" not in root:
fo... |
# Crie um programa que leia quanto dinheiro uma pessoa tem na carteira e mostre quantos Dólares ela podera comprar.
# Considere: US$1.00 = R$3.27
real = float(input('Insira a quantidade de dinheiro R$ que você possui: R$'))
dolar = real / 3.27
euro = real / 4.63
iene = real / 0.03866
print('Com {:.2f}R$ você pode comp... |
# -*- coding: utf-8 -*-
# Copyright (c) 2017, Softbank Robotics Europe
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright notice, t... |
"""Support for Symbology Identifiers.
Symbology Identifiers is a standardized way to identify what type of barcode
symbology was used to encode the following data.
The Symbology Identifiers are a few extra characters that may be prefixed to
the scanned data by the barcode scanning hardware. The software interpreting
... |
# Copyright 2014: Mirantis Inc.
# 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 b... |
from typing import List, Dict
import numpy as np
import pandas as pd
import joblib
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
from goatools.goea.go_enrichment_ns import GOEnrichmentStudyNS
import larval_gonad.plotting
from larval_gonad.gene_ontology import (
run... |
import os
from archives.scopeV2.datasets import LeftRightDataset
import pytest
@pytest.mark.dataset
def test_dataset_creation():
ds = LeftRightDataset(os.environ.get('DATA_PATH'), os.environ.get('LABEL_PATH'), validation_size=0,
neg_to_pos_ratio=1)
@pytest.mark.dataset
def test_dataset... |
#! /usr/bin/env python
import math, numpy
import lhapdf
import matplotlib.pyplot as plt
q = math.sqrt(6400.0)
pdfsets = ["cteq6ll.LHpdf"]
#pdfsets = ["cteq6ll.LHpdf", "MRST2001lo.LHgrid", "MRST2007lomod.LHgrid", "MRSTMCal.LHgrid"]
partons = { 0 : "gluon", 2 : "up" }
NPOINTS = 1000
xs = numpy.logspace(-4, -0.001, NPO... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.BuyerInfo import BuyerInfo
from alipay.aop.api.domain.HomeNormalApiContent import HomeNormalApiContent
class AlipayIserviceItaskMerchantRecordSyncModel(object):
def __init__(... |
# Generated by Django 3.1.2 on 2021-06-10 10:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('user', '0012_emailtoken'),
]
operations = [
migrations.AddField(
model_name='user',
name='active',
field... |
from sklearn.metrics import jaccard_score
import numpy as np
a1 = np.array([[1, 0],
[1, 1]])
a2 = np.array([[0, 1],
[1, 0]])
js_samples = jaccard_score(a1, a2, average='samples')
js_weighted = jaccard_score(a1, a2, average='weighted')
def jaccard_score_manual(y_true, y_pred):
# C... |
# -*- coding: utf-8 -*-
import os
import time
from itertools import product
from collections import namedtuple, OrderedDict
import torch
import torchvision
from torch.utils.tensorboard import SummaryWriter
class RunBuilder:
@staticmethod
def get_runs(params):
Run = namedtuple('Run', params.keys())
... |
#!/usr/bin/python3
''' Translate input text with trained model. '''
import sys
import os
sys.path.append('./t2t/')
sys.path.append('../')
import torch
import argparse
import dill as pickle
from tqdm import tqdm
import transformer.Constants as Constants
from torchtext.data import Dataset
from transformer.Models impor... |
from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
gauth = GoogleAuth()
gauth.LocalWebserverAuth()
#drive = GoogleDrive(gauth) |
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
import numpy as np
import sys
import os.path
#from CelestePy import gen_model_image
def add_colorbar_to_axis(ax, cim):
""" generic helper function to throw a colorbar onto an axis """
divider = make_axes_locatable(ax)
c... |
'''
Created on Mar 5, 2014
Copyright 2014-2015 Dario Bonino
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 ... |
from ..helpers import enums, vars
class UploadTypes(enums.MetaEnum):
"""Enum: photo, audio, video, file"""
photo = vars.Var()
audio = vars.Var()
video = vars.Var()
file = vars.Var()
|
#
# Batchcode script
#
#
# The Batch-code processor accepts full python modules (e.g. "batch.py") that
# looks identical to normal Python files with a few exceptions that allows them
# to the executed in blocks. This way of working assures a sequential execution
# of the file and allows for features like stepping from ... |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
"""
Trainer App Example
=============================================
This is an exampl... |
# Copyright (c) 2019 PaddlePaddle 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 app... |
from files import *
from loaders import *
import time
import gc
import json
from test_check import check_for_test_entry
class OrthoLoader:
@staticmethod
def get_data(mod_name, test_set, gene_master_dict):
path = "tmp"
filename = None
filename_comp = None
if test_set == True:
... |
"""
liquidLRU by Seung
-------------------
Just a simple cache.
"""
from threading import Timer
from time import time
"""
This class is the object we use to store the values
inside the cache. It contains when the item expires,
let's us refresh it.
"""
class Node:
def __init__(self, value, ... |
# Copyright (c) 2017, Apple Inc. All rights reserved.
#
# Use of this source code is governed by a BSD-3-clause license that can be
# found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause
import itertools
import pandas as pd
import os
import unittest
from coremltools._deps import HAS_SKLEAR... |
import FWCore.ParameterSet.Config as cms
# reco hit production
from RecoCTPPS.TotemRPLocal.ctppsDiamondRecHits_cfi import ctppsDiamondRecHits
# local track fitting
from RecoCTPPS.TotemRPLocal.ctppsDiamondLocalTracks_cfi import ctppsDiamondLocalTracks
ctppsDiamondLocalReconstructionTask = cms.Task(
ctppsDiamondRe... |
import os
from pathlib import Path
import pandas as pd
import numpy as np
from lib import parser
from lib import TurnId, ActionId
if not os.path.isdir('tidy_data'):
os.mkdir('tidy_data')
import_from = Path.cwd() / 'parsed_data'
export = Path.cwd() / 'tidy_data'
varnames = {
'actions': 'playeraction',
'bu... |
def GCD(a, b):
if b == 0:
return a
a1 = a % b
return GCD(b, a1)
a, b = list(map(int, input().split()))
if b > a:
a, b = b, a
print(GCD(a, b)) |
#!/usr/bin/env python3
''' hook for usage in pyinstaller '''
#pylint: disable=invalid-name
from PyInstaller.utils.hooks import collect_submodules
hiddenimports = collect_submodules('nowplaying.inputs')
|
# MIT License
#
# Copyright (c) 2017 Anders S. Christensen, Kristof T. Schutt, Stefan Chmiela
#
# 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 limitati... |
# -*- coding: utf-8 -*-
'''Chemical Engineering Design Library (ChEDL). Utilities for process modeling.
Copyright (C) 2017, Caleb Bell <Caleb.Andrew.Bell@gmail.com>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal... |
# Released under the MIT License. See LICENSE for details.
#
"""Implements the main menu window."""
# pylint: disable=too-many-lines
from __future__ import annotations
from typing import TYPE_CHECKING
import ba
import _ba
if TYPE_CHECKING:
from typing import Any, Callable, Optional, Union
class MainMenuWindow... |
import re
import socket
import uuid
email_regex = r"(^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$)"
url_regex = (f"http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\(\),]|(?:%[0-9a-fA-F]"
f"[0-9a-fA-F]))+")
email_pattern = re.compile(email_regex)
url_pattern = re.compile(url_regex)
def _regex_match(regex, ... |
sal_info= dict ()
sal_info={'Austin':911985, 'Dallas': 89999, 'San Jose': 100989, 'Atlanta': 89286,'Portland':101367}
#reassigns the salary for Atlanta
sal_info['Atlanta']= 92340
print (sal_info)
#del sal_info['Atlanta']
#print (sal_info)
#print (sal_info['Atlanta'])
#del sal_info
#sal_info.clear()
#p... |
import kfp.components as comp
def download_dataset(dataset_url, dataset_path: comp.OutputPath(str)):
import os
import tempfile
import zipfile
import requests
os.makedirs(dataset_path + "/data", exist_ok=True)
r = requests.get(dataset_url, stream=True)
with tempfile.TemporaryFile() as tf:... |
# Copyright (c) 2018 PaddlePaddle 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 app... |
# coding=utf-8
import logging
from odoo import models, fields, api
from ..controllers import client
from odoo.http import request
from odoo.exceptions import ValidationError, UserError
from ..rpc import corp_client
_logger = logging.getLogger(__name__)
class wx_corpuser(models.Model):
_name = 'wx.corpuser'
... |
import sys
import json
import os
import io
import re
from logicUtils import parseFunctions
def buildGate(sLogic, n=0, gateI=0):
g = ''
be = ''
c = ''
w = ''
gn = ''
gi = gateI
s = ''
i = n
rg = []
bes = []
while True:
c = sLogic[i:i+1]
if (c == '('):
... |
# Only runs code if pin 14 (D5) is high (i.e, not grounded)
# Ground this pin to abort code tht will deepsleep
from machine import Pin
from sys import exit
def sleep_check():
allow_sleep = Pin(14, Pin.IN, Pin.PULL_UP)
if not allow_sleep.value():
exit()
|
#!/usr/bin/env python
"""
This module has a function that matches django fields to the corresponding
random value generator.
"""
import base64
from django.conf import settings
from django.core.files.base import ContentFile
from django.db.models.fields import BigIntegerField
from django.db.models.fields import BinaryFie... |
from .base_mopo import mopo_params, deepcopy
params = deepcopy(mopo_params)
params.update({
'domain': 'CartpoleStabilization',
'task': 'v1',
'exp_name': 'cartpole_stabilization'
})
params['kwargs'].update({
'pool_load_path': 'gym/CartpoleStabilization-v1',
'pool_load_max_size': 101000,
'rollout... |
from bidict import bidict
import ujson as json
import time
import pickle
from itertools import zip_longest
import datetime
from collections import namedtuple, defaultdict
import graph_tool
import graph_tool.search
from graph_tool import GraphView
from typing import Iterator
GlobeCoordinate = namedtuple(
"GlobeCoor... |
#!/usr/bin/env python
"""
utils/prep_ml.py
Data available at: http://files.grouplens.org/datasets/movielens/ml-10m.zip
"""
import sys
import argparse
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
def parse_args():
parser = argparse.ArgumentParser()
p... |
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import h5py
import sys
from lib.constants import *
def plot(fig, trajectory, sensor_height):
# Filter out everything above block (start of trajectory)
traj_inside = trajectory[trajectory[:, 2] < sensor_height]
ax =... |
expected_output = {
"rp": {
"0": {
"control_processer": {
"critical_perc": 85,
"dram": {
"critical_perc": 95,
"max_mb": 3863,
"state": "H",
"usage_mb": 3084,
"usage... |
import math
class Adder(object):
def add(self, x, y):
# a line --
# another line
# a third line
return x + y
def multiply(self, x, y):
return x * y
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.