content stringlengths 5 1.05M |
|---|
import os
import sys
import logging
import paddle
import argparse
import functools
import math
import time
import numpy as np
import paddle.fluid as fluid
sys.path[0] = os.path.join(
os.path.dirname("__file__"), os.path.pardir, os.path.pardir)
from paddleslim.common import get_logger
import models
from utility impo... |
# Copyright 2019 Red Hat, 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 by... |
import dill
from sklearn.feature_selection import RFECV
from sklearn.model_selection import StratifiedKFold
from robotehr.pipelines.supporters.plots import plot_rfe
def recursive_feature_elimination(X, y, algorithm, step_size=50, create_figure=False, filename="", n_splits=5):
estimator = algorithm()
rfecv = ... |
from onmt.modules.StochasticTransformer.Models import StochasticTransformerEncoder, StochasticTransformerDecoder
# For flake8 compatibility.
__all__ = [StochasticTransformerEncoder, StochasticTransformerDecoder]
|
from flask_restplus import Namespace, Resource
from flask import request, jsonify, current_app
from flask_jwt_simple import jwt_required, get_jwt_identity
from kafka import KafkaProducer
from micro_utils.flask.jwt import resolve_jwt_identity
from micro_utils.messaging.adapters import TopicProducer
from micro_utils.p... |
#test cases starting from 0
class Solution:
def fib(self, N):
if N==0: return 0
lastTwo = [1 , 1]
counter = 3
while counter <= N:
nextFib = lastTwo[0] + lastTwo[1]
lastTwo[0] = lastTwo[1]
lastTwo[1] = nextFib
counter += 1
return lastTwo[1] if N > 1 else ... |
# This relies on each of the submodules having an __all__ variable.
from .client import *
from .exceptions import *
from .protocol import *
from .server import *
from .uri import *
__all__ = (
client.__all__
+ exceptions.__all__
+ protocol.__all__
+ server.__all__
+ uri.__all__
)
from .version im... |
"""Unit tests for testing support
"""
import logging
import os
import unittest
import numpy
from astropy import units as u
from astropy.coordinates import SkyCoord
from rascil.data_models.polarisation import PolarisationFrame
from rascil.processing_components.image.operations import export_image_to_fits, scale_and... |
from csv import DictWriter
from itertools import groupby
import os
import re
from string import capwords
import xml.etree.ElementTree as et
import requests
STATE_PROP_PATTERN = re.compile(r"^Proposition (\d+) - (.+)$")
CITY_MEASURE_PATTERN = re.compile(r"^([A-Z]{1,2})-(.+)$")
def get_results(use_cache=True):
u... |
""" PreAssembly Report.
See FALCON-pbsmrtpipe/pbfalcon/report_preassembly.py for XML version.
"""
# Copied from
# http://swarm/files/depot/branches/springfield/S2.3/software/smrtanalysis/bioinformatics/tools/pbreports/pbreports/report/preassembly.py
from .FastaReader import open_fasta_reader
from .io import capture... |
#!/usr/bin/python
# helper functions for your analysis of data from Isobel Hawes, for Le Yan and the biohub
# import libraries
import numpy as np
import math
import scipy
# import pandas to work with data
import pandas as pd
# plotting
import matplotlib.pyplot as plt
import seaborn as sns
# import itertools, reduce to ... |
import matplotlib.pyplot as plt
from matplotlib.path import Path
import matplotlib.patches as patches
verts = [
(0., 0.), # left, bottom
(0., 1.), # left, top
(1., 1.), # right, top
(1., 0.), # right, bottom
(0., 0.), # ignored
]
codes = [Path.MOVETO,
Path.LINETO,
Path.LINETO... |
from __future__ import print_function
import pytest
from urbansim_templates.shared import CoreTemplateSettings
def test_property_persistence():
"""
Confirm CoreTemplateSettings properties persist through to_dict() and from_dict().
"""
obj = CoreTemplateSettings()
obj.name = 'name'
obj.t... |
"""
Operator to resample a timeseries based dataframe
"""
import pandas as pd
from tasrif.processing_pipeline import ProcessingOperator
from tasrif.processing_pipeline.validators import GroupbyCompatibleValidatorMixin
class ResampleOperator(GroupbyCompatibleValidatorMixin, ProcessingOperator):
"""
Group and a... |
from distutils.core import setup
setup(name='networkmonitor',
version='0.0.1',
description='Console application to let you monitor the status of devices.',
author='James Tombleson',
url='http://github.com/luther38/networkmonitor',
packages=[
'pipenv',
'requests',
'click... |
import numpy as np
from ..data import Dataset
def show_accuracy_loss(net, scaling="scaled", test_dataset_path="../data/processed/extended"):
"""Show performance on the test sets
Args:
net (Keras model): Keras compiled model
scaling (str, optional): dataset properties, assuming the datasets are... |
import argparse
import json
import numpy as np
import subprocess as sp
import copy
from librw.loader import Loader
from librw.rw import Rewriter
from librw.analysis.register import RegisterAnalysis
from rwtools.asan.instrument import Instrument
from librw.analysis.stackframe import StackFrameAnalysis
def do_symboli... |
print("Hello world")
print("What is the score of india vs england match?:????") |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'ayarlar.ui'
#
# Created by: PyQt5 UI code generator 5.15.1
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import Qt... |
# -*- coding: utf-8 -*-
# Command line utilties and helper functions
from clint.textui import puts, colored, indent
from getpass import getpass
from blockcypher.utils import (is_valid_address_for_coinsymbol,
coin_symbol_from_mkey, format_output, UNIT_CHOICES)
from blockcypher.constants import COIN_SYMBOL_MAP... |
@when(u'I submit my employment status as "{type}"')
def step_impl(context, type):
context.execute_steps(u'''
When I choose "%s" from "you_are"
And I press "Continue"
''' % type)
@when(u'I submit my benefits as "{type}"')
def step_impl(context, type):
context.execute_steps(u'''
When... |
# -*- coding: utf-8 -*-
import logging
import logging.config
import time
import threading
from pynetdicom2 import uids
from . import ae
from . import config
from . import event_bus
class Server:
"""Server class itself.
Sets up event bus. Initializes all components and passes config to them.
:ivar confi... |
"""
AppConfig
"""
from django.apps import AppConfig
class GradesConfig(AppConfig):
"""
App config for this app
"""
name = "grades"
def ready(self):
"""
Ready handler. Import signals.
"""
import grades.signals # pylint: disable=unused-import
|
from io import TextIOBase
import os.path
import operator
from itertools import combinations, permutations
from functools import reduce, partial
from math import isfinite, prod
from collections import Counter
INPUT=os.path.join(os.path.dirname(__file__), "input.txt")
with open(INPUT) as f:
data = f.read()
test="""... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.11 on 2018-09-27 19:50
from __future__ import unicode_literals
import awx.main.fields
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('main', '0052_v340_remove_project_sc... |
# Copyright (c) 2019 Horizon Robotics. 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 applicab... |
"""
SQLAlchemy-JSONAPI Serializer.
Colton J. Provias - [email protected]
http://github.com/coltonprovias/sqlalchemy-jsonapi
Licensed with MIT License
"""
from functools import wraps
from sqlalchemy.orm.base import MANYTOONE, ONETOMANY
def as_relationship(to_many=False, linked_key=None, link_key=None,
... |
from .doctype import *
from .html import *
from .sys import *
from .date import *
from ._if import *
from ._for import *
from ._while import *
from ._import import *
from ._def import *
from .include import *
from .extends import *
from .entitize import *
from .constants import *
from .ieif import *
from .types import ... |
#!/usr/bin/env python
import csv
with open('SeqTracking.csv', encoding='ISO-8859-1') as csvfile:
with open('Metadata_csv.csv', 'w') as outfile:
outfile.write('SeqID,Genus,Quality\n')
reader = csv.DictReader(csvfile)
for row in reader:
if row['Genus'] == '':
genu... |
from typing import Callable, List, Optional, Sequence
from ebl.transliteration.domain.atf import Atf, WORD_SEPARATOR
from ebl.transliteration.domain.egyptian_metrical_feet_separator_token import (
EgyptianMetricalFeetSeparator,
)
from ebl.transliteration.domain.enclosure_tokens import (
AccidentalOmission,
... |
#
# 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, software
# distributed under ... |
# "Stopwatch: The Game"
import simplegui
# define global variables
current_time = 0
time_display = "0:00.0"
attempts = 0
succeeds = 0
# define helper function format that converts time
# in tenths of seconds into formatted string A:BC.D
def time_format(t):
D = t % 10
t /= 10
BC = t % 60
A = t / 60
... |
# -*- coding: utf-8 -*-
# ---------------------------------------------------------------------
# Export model to CSV
# ---------------------------------------------------------------------
# Copyright (C) 2007-2019 The NOC Project
# See LICENSE for details
# ------------------------------------------------------------... |
#!/usr/bin/env python3
"""
Very simple HTTP server in python for logging requests
Usage::
./server.py [<port>]
"""
from http.server import BaseHTTPRequestHandler, HTTPServer
from urllib.parse import urlparse, parse_qs
import logging
import json
class Server(BaseHTTPRequestHandler):
_config = None
def ... |
import getopt
import sys
from libcloud.compute.types import NodeState
from lc import get_lc
from printer import Printer
def lister_main(what, resource=None,
extension=False, supports_location=False, **kwargs):
"""Shortcut for main() routine for lister
tools, e.g. lc-SOMETHING-list
@param what: ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from ... import TestUnitBase
class TestDESDerive(TestUnitBase):
def test_real_world_01(self):
self.assertEqual(self.load()(B''), B'\x01' * 8)
def test_real_world_02(self):
self.assertEqual(self.load()(B'pw0rdEXAMPLE.Cpianist'), bytes.fromhex('15... |
# -*- coding: utf-8 -*-
# Copyright 2013 Google 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 require... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author: Donny You([email protected])
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from utils.tools.... |
#!/c/Python27/python
# wpadmin.py - Command line tool for WordPress
#
# The MIT License (MIT)
#
# Copyright (c) 2014 Raul Chacon <[email protected]>
#
# 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 ... |
"""Tools to cache time-series data.
"""
from collections import deque
from py2store.utils.affine_conversion import get_affine_converter_and_inverse
class RegularTimeseriesCache:
"""
A type that pretends to be a (possibly very large) list, but where contents of the list are populated as they are
needed. F... |
""" Defines the rule for building external library with CMake
"""
load(
"//tools/build_defs:framework.bzl",
"CC_EXTERNAL_RULE_ATTRIBUTES",
"cc_external_rule_impl",
"create_attrs",
)
load(
"//tools/build_defs:detect_root.bzl",
"detect_root",
)
load(
"//tools/build_defs:cc_toolchain_util.bzl"... |
# -*- coding: utf-8 -*-
import functools
import itertools as it
import json
import os
import re
import socket
from typing import NamedTuple
from urllib.parse import urlparse
import jsonschema
import pygtrie
import structlog
import ujson
from .errors import InvalidUpstreamHost
from .errors import InvalidUpstreamURL
l... |
'''
Train Neural RE Model
'''
__author__ = 'Maosen'
import os
import random
import torch
import logging
import argparse
import pickle
import numpy as np
from tqdm import tqdm
import utils
from model import Model
from utils import Dataset
torch.backends.cudnn.deterministic = True
def train(args):
model = Model(args... |
from __future__ import print_function
from __future__ import print_function
from __future__ import print_function
import shutil
import sys
import tempfile
from six import StringIO
import os
import yaml
from mako.lookup import TemplateLookup
from mock import patch
from nose.plugins.skip import Skip
from pyff.mdrepo impo... |
from __future__ import print_function
import datetime
from googleapiclient.discovery import build
from httplib2 import Http
from oauth2client import file, client, tools
from pyrfc3339 import parse
from util.models import CalendarDTO
from util.models.AppointmentDTO import AppointmentDTO
class GoogleCalendar:
# ... |
import os
from dotenv import load_dotenv
from archivy import app
def main():
load_dotenv()
port = int(os.environ.get("ARCHIVY_PORT", 5000))
app.run(host='0.0.0.0', port=port)
|
from setuptools import find_packages, setup
VERSION = '0.8'
setup(
name = 'urlrap',
packages = find_packages(),
version = VERSION,
platforms=['any'],
description = 'URL connivance functions.',
author = 'Bob Colner',
author_email = '[email protected]',
url = 'https://github.com/bobcolne... |
"""
.. module:: transducer_services_Simple
:platform: Unix, Windows
:synopsis: Defines a simple example implementation for IEEE1451.0
Transducer Services for ncaplite.
.. moduleauthor:: James Ethridge <[email protected]>
"""
from ncaplite.transducer_services_base import TransducerAccessBase
import ncap... |
from mygrad.tensor_base import Tensor
from .ops import *
__all__ = ["reshape", "squeeze", "ravel", "expand_dims", "broadcast_to"]
def reshape(a, *newshape, constant=False):
""" Returns a tensor with a new shape, without changing its data.
This docstring was adapted from ``numpy.reshape``
Param... |
# based on works of 2015 Matthias Groncki
# https://github.com/mgroncki/IPythonScripts
#
#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,
#this list... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import multiprocessing
import time
import os
import random
import string
import sys
from core.targets import analysis
from core.attack import start_attack
from core.alert import info
from core.alert import warn
from core.alert import error
from core.alert import write
from... |
from setuptools import setup, find_packages
with open("requirements.txt", 'r') as file:
libs = file.readlines()
setup(
name = "image_toolbox",
version = "0.0.1",
author = "Kareem Janou",
description = ("Collection of usefull tools, that can make the developement of neural networks easier."),
l... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#-----------------------------------------------------------------------------
# update_backscatter.py, Angeline G. Burrell (AGB), UoL
#
# Comments: Update the beam's groundscatter flag, calculate the virtual height
# and propagation path, determine the origin fie... |
__author__ = 'robson'
# convert D in nm^2/ps -> 10^-5 cm^2/s for 3D/2D/1D diffusion - same as GROMACS!
FACTOR = {
'msd': 1000.0 / 6.0,
'msd_xy': 1000.0 / 4.0,
'msd_yz': 1000.0 / 4.0,
'msd_xz': 1000.0 / 4.0,
'msd_x': 1000.0 / 2.0,
'msd_y': 1000.0 / 2.0,
'msd_z': 1000.0 / 2.0,
}
class MSDE... |
"""
Validation
Implemented by Peng Zhang
"""
import argparse
import os
import torch
from torch.utils.data import DataLoader
from torchvision import utils as v_utils
from tqdm import tqdm
from data_path import DATA_PATH
from dataset.augmentation import ValidFrameSampler, ValidAugmentation
from dataset.video_matte imp... |
class Student:
def __init__(self, first_name, last_name):
self.first_name = first_name
self.last_name = last_name
self.promoted = False
def __bool__(self):
return self.promoted
def run_example():
student = Student(first_name="Mikołaj", last_name="Lewandowski")
print(... |
import csv
import io
from datetime import datetime
from django.contrib import messages
from django.db.models import Q
from django.http import JsonResponse, HttpResponseRedirect
from django.shortcuts import render
from django.urls import reverse
from django.views.generic import CreateView, UpdateView, ListView
from proj... |
import sys
from abc import ABC, abstractmethod
from itertools import chain
from pathlib import Path
from typing import Dict, Tuple
import numpy as np
import torch
import torch.nn.functional as FF
from src.data.common import get_loader
from torch.distributions import Distribution
from torch.nn import LSTM, Embedding, L... |
import argparse
import numpy as np
import torch
import json
from collections import OrderedDict
from torch import nn
from torch import optim
from torch.autograd import Variable
from torchvision import models
import torch.nn.functional as F
from train import construct_model
from PIL import Image
def get_comman... |
# -*- coding:utf-8 -*-
from flask_restful import Resource, reqparse, request
from flask import g
from common.log import Logger
from common.audit_log import audit_log
from common.db import DB
from common.utility import uuid_prefix
from common.sso import access_required
import json
from user.user import update_user_privi... |
"""vitamins.match.hitbox -- hitbox class and data."""
from functools import partial
from vitamins.match.base import OrientedObject
from vitamins import draw
class Hitbox:
width: float
length: float
height: float
angle: float # todo: take this into account
root_to_front: float
root_to_top: f... |
import numpy
import unittest
import cupy
from cupy import testing
@testing.gpu
class TestDims(unittest.TestCase):
_multiprocess_can_split_ = True
def check_atleast(self, func, xp):
a = testing.shaped_arange((), xp)
b = testing.shaped_arange((2,), xp)
c = testing.shaped_arange((2, 2)... |
import os
## coverted from model.eval.genotyped.sh
def modelEvalCVGenotyped (path, pheno, model, snpList, genotypeFle):
phenoFile = path + "/pheno_data/pheno_" + str(pheno) + ".txt"
covarFile = path + "/pheno_data/covar_" + str(pheno) + ".txt"
outFile = path + "/association_cv/chr0." + str(pheno)
extrac... |
import time
import sys
from scapy.all import *
from scapy.all import *
from scapy.all import send
from scapy.layers.inet import *
import scapy
srcIP = "192.168.0.107"
destIP = "192.168.0.105"
IPLayer = IP(dst=destIP, src=srcIP)
for i in range(1,100):
TCPLayer = TCP(seq=i, dport=135, sport=135)
spoofpkt = IP... |
from .managers import CoreManager
from .models import AbstractAudit, AbstractChoice
__all__ = ['CoreManager', 'AbstractAudit', 'AbstractChoice', ]
|
# Generated by Django 3.0.9 on 2020-10-23 15:57
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('quotations', '0033_auto_20201020_1511'),
]
operations = [
migrations.AddField(
model_name='quotation',
name='discoun... |
from django.db import models
# Create your models here.
SOCIAL_CHOICES = (
('F', 'Facebook'),
('W', 'Whatsapp'),
('T', 'Twitter'),
('I', 'Instagram'),
('L', 'LinkedIn'),
('Y', 'Youtube'),
)
class SocialLink(models.Model):
site = models.CharField(choices=SOCIAL_CHOICES, max_length=1,)
l... |
import ctypes
import numpy
from nidaqmx._lib import lib_importer, wrapped_ndpointer, c_bool32
from nidaqmx.constants import FillMode
from nidaqmx.errors import check_for_error
def _write_analog_f_64(
task_handle, write_array, num_samps_per_chan, auto_start, timeout,
data_layout=FillMode.GROUP_BY_CHAN... |
from run_experiments_transfer import test_robustness
import torchvision.datasets as dset
import torchvision.transforms as transforms
import torch
import numpy as np
from clustorch.kmeans import KMeans
from clustorch.spectral import SpectralClustering
from clustorch.hierarchical import Hierarchical
from experiments.devi... |
import os
import sys
import unittest
from collections import OrderedDict
sys.path.append(os.path.join(os.path.dirname(__file__), ".."))
import setup_malcolm_paths
import numpy as np
from malcolm.core.vmetas import NumberArrayMeta
class TestValidation(unittest.TestCase):
def test_numpy_array(self):
nm ... |
import os
def setup_working_directories(config_vars):
## Expected raw data directories:
config_vars["raw_images_dir"] = os.path.join(config_vars["root_directory"], 'raw_images/')
config_vars["raw_annotations_dir"] = os.path.join(config_vars["root_directory"], 'raw_annotations/')
## Split files
co... |
import pytest
from wemake_python_styleguide.violations.oop import (
UnpythonicGetterSetterViolation,
)
from wemake_python_styleguide.visitors.ast.classes import WrongClassBodyVisitor
module_getter_and_setter = """
attribute = 1
def get_attribute():
...
def set_attribute():
...
"""
static_getter_and_set... |
# Copyright 2022 Sony Group Corporation.
#
# 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 setuptools import setup, find_packages
setup(
name = "Boids",
version = "6.6.2",
description = "Simulation of Boids",
author = "Leo Carlos-Sandberg"
url = "https://github.com/lcarlossandberg/Bad_Boids",
license = "MIT License"
packages = find_packages(exclude=['*test']),
... |
#!/usr/bin/env python
# Written by: DGC
# python imports
# local imports
# done before any other imports in case of errors in them
import Error
Error.set_exception_handler()
# next start logging.
import Log
Log.start_logging()
# now set up localisation
import Localisation
localisation = Localisation.Localiser()
... |
from unittest.mock import MagicMock, patch
from django.test import TestCase
from monitor.decorators import hub_signature_required
class TestHubSignatureRequired(TestCase):
def fn_to_test(self, request):
return request.body
def setUp(self):
self.decorator = hub_signature_required
se... |
import functools
import sys
import types
from nose import SkipTest
from nose.tools import eq_
from .. import helper
from ..helper import MockXPI
from appvalidator.constants import SPIDERMONKEY_INSTALLATION
from appvalidator.errorbundle import ErrorBundle
from appvalidator.errorbundle.outputhandlers.shellcolors import... |
import datetime
from abstractblock import AbstractBlock
from textdatav1 import TextDataV1
class GenesisBlock(AbstractBlock):
@property
def id(self):
return self._index
@property
def timestamp(self):
return self._timestamp
@property
def data(self):
return self._data
... |
from django import forms
from .models import (
Book,
Category,
Shelf,
Author
)
class BookCreationAddForm(forms.ModelForm):
class Meta:
model = Book
fields = ('name', 'author', 'category',
'amount', 'price', 'image', 'shelf', )
class CategoryCreationForm(forms... |
_base_ = ['./segmentation_static.py', '../_base_/backends/onnxruntime.py']
onnx_config = dict(input_shape=[2048, 1024])
|
from django.db import models
# Create your models here.
class Grocery(models.Model):
ItemName = models.CharField(max_length=100)
ItemQuantity = models.CharField(max_length=50)
ItemStatus = models.CharField(max_length=15)
Date = models.DateField()
UserId = models.IntegerField(default=5)
def __s... |
def aumentar(n=0):
return n * 1.5
def diminuir(n=0):
return n * 0.5
def dobro(n=0):
return n * 2
def metade(n=0):
return n / 2
def moeda(n=0):
return f'R${n:.2f}'.replace('.', ',')
|
from __future__ import print_function, absolute_import
import torch
import torch.nn.functional as F
from torch import nn, autograd
from torch.autograd import Variable, Function
import numpy as np
import math
torch.autograd.set_detect_anomaly(True)
class ExemplarMemory(Function):
def __init__(self, em, alpha=0.0... |
from random import choice
import numpy as np
from constants import *
from tile import Tile, TileType
class Board(object):
"""
Board class.
"""
def __init__(self, row, column, board_setup=None):
"""
Board class construct.
:param row: # of rows in the board
:param colu... |
# coding=utf-8
# main.py
# Autore: Matteo Esposito
# Versione di Python: 2.6.9
import time
from lib.settings import DEBUG, RELEASE
from lib.ProjUtilities import generateRandomAVLTree, concatenate
global A, B
def benchmark(n):
"""
Main delle funzioni di benchamrking, si occupa di creare gli alebri AVL e di r... |
import os
import tornado.ioloop
import tornado.web
import TileStache
class TornadoRequestHandler(tornado.web.RequestHandler):
""" Create a Tornado HTTP get and post handler.
This class is documented as part of Tornado public RequestHandler API:
http://www.tornadoweb.org/en/stable/guide/stru... |
"""Posts views."""
# Rest framework
from rest_framework.response import Response
from rest_framework.decorators import action
from rest_framework.generics import get_object_or_404
from rest_framework import status, viewsets, mixins
# Permissions
from rest_framework.permissions import (
AllowAny,
IsAuthenticat... |
import sys
sys.path.append('./site-packages')
# flake8: noqa: E402
from crhelper import CfnResource
import boto3
from pathlib import Path
helper = CfnResource()
@helper.create
@helper.update
def on_create(event, __):
pass
def delete_s3_objects(bucket_name):
if bucket_name:
s3_resource = boto3.reso... |
#!/usr/bin/env python
"""testwang - a tool for working with randomly-failing tests."""
from __future__ import (
absolute_import,
division,
print_function,
unicode_literals,
)
import argparse
import atexit
import copy
import io
import itertools
import json
import os
import subprocess
import sys
import... |
"""
bot commands
"""
from . import bot
from ..lib.owoify import owoify, owoify2
from ..lib.smh import expand
bot.add_formatter(owoify, "owoify", "owoifies text")
bot.add_formatter(owoify2, "owoify2", "owoifies text, but worse")
bot.add_formatter(expand, "smh", "expands instances of smh")
import discord
import reque... |
"""Load Hbase.thrift as the Hbase_thrift module using thriftpy2 on import."""
from pkg_resources import resource_filename
import thriftpy2
thriftpy2.load(resource_filename(__name__, 'Hbase.thrift'), 'Hbase_thrift')
|
from django.shortcuts import redirect
from django.contrib.auth.models import User
from django.http import JsonResponse
def login_redirect(request):
return redirect('/')
def validate_username(request):
username = request.GET.get('username', None)
data = {
'is_taken': User.objects.filter(username__i... |
import time
from datetime import datetime
def str_to_seconds(time_s, format_s='%Y-%m-%d %H:%M:%S'):
struct_t = time.strptime(time_s, format_s)
return int(time.mktime(struct_t))
def str_to_mcroseconds(time_s, format_s='%Y-%m-%d %H:%M:%S'):
struct_t = datetime.strptime(time_s, format_s)
return time.mkti... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Created by Hao Luo at 2019-09-02
"""Step_simulate.py
:description : script
:param :
:returns:
:rtype:
"""
import os
import cobra
import matplotlib.pyplot as plt
import numpy as np
os.chdir('../../ComplementaryData/Step_03_Compare_Refine/')
print('----- loading mode... |
def escreva(msg):
t = len(msg)
print('-' * t)
print(msg)
print('-' * t)
escreva('Henrique Alvaro')
escreva('HAMS')
escreva('python') |
import unittest
from hotspots.hs_io import HotspotReader
from ccdc.utilities import _csd_required, PushDir
from ccdc import io
from ccdc.molecule import Atom
from ccdc.pharmacophore import Pharmacophore, GeometricDescriptors
from hotspots.protein_extension import Protein
from hotspots.grid_extension import Gri... |
import json
import serial
class PrometheusSerial:
portPrefix = '/dev/ttyUSB'
portNumber = 0
connected = False
connection = None
socket = None
reactor = None
def __init__(self, reactor):
print "PrometheusSerial: Starting serial communication"
self.reactor = reactor
self.init()
def init(self):
seri... |
from flask import Flask # flask server
from flask import request # how the user requested a resource
from flask import render_template # to use templates/layouts
app = Flask(__name__)
# Something i can do in templates:
# {{ var_name }}
# {% """kind of python code on flask""" %}
# [@] signifies a decorator - way... |
num =1
num2 =22
num4 =3333
num5 =88
num5 = 666
|
#!/usr/bin/env python
"""
Functions for solving a 1D wave equation.
"""
from __future__ import division # disable integer division
from scitools.numpyutils import *
from CurveViz import *
def solver(I, f, c, U_0, U_L, L, n, dt, tstop,
user_action=None, version='scalar'):
"""
Solve the wave equation... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.