text stringlengths 957 885k |
|---|
from ._base import TableMixin
__all__ = ['HRTEMP', 'HRTCPR', 'PRTMST', 'PRTECN']
import datetime
class HRTEMP(TableMixin):
TABLE_NAME = 'HRTEMP'
HRTEMPID = ('INT', 18)
STATUSCODE = ('CHAR', 1)
SRCCNCID = ('INT', 18)
COMPANYNO = ('DEC', 2)
DIVISIONNO = ('DEC', 3)
CHGCNCID = ('INT', 18)
... |
"""Tests for extractors module."""
import unittest
import numpy as np
from sklearn.pipeline import Pipeline
from nvdlib.nvd import NVD
from toolkit.pipelines.pipelines import get_preprocessing_pipeline
from toolkit.transformers import FeatureExtractor, Hook
# noinspection PyProtectedMember
from toolkit.transformers... |
# -*- coding: utf-8 -*-
from parser_redeye import *
if __name__ == "__main__":
# This is some sort of parser test.
subscribe_args = (
("m", "message", True, u"Subscribe to message."),
("u", "user", True, u"Subscribe to user."),
("t", "tag", True, u"Subscribe to tag."),
("c", "c... |
import os
import KratosMultiphysics as Kratos
from KratosMultiphysics import Logger
Logger.GetDefaultOutput().SetSeverity(Logger.Severity.WARNING)
import KratosMultiphysics.KratosUnittest as KratosUnittest
import KratosMultiphysics.DEMApplication.DEM_analysis_stage
import KratosMultiphysics.kratos_utilities as kratos_... |
<gh_stars>1-10
import os.path
import numpy as np
try:
np.random.bit_generator = np.random._bit_generator
print("rename numpy.random._bit_generator")
except:
print("numpy.random.bit_generator exists")
import cv2
from glob import glob
import imgaug.augmenters as iaa
def to_categorical(mask, num_classes, cha... |
<reponame>stage-right/santiago
from cmd import Cmd
from sys import argv
import santiago
def make_droplet(name, size, image, region,
ssh_key_ids=None, virtio=True, private_networking=False,
backups_enabled=False, user_data=None, ipv6=False):
droplet = {
'name': str(name),
... |
#!/usr/bin/env python
"""
Take a set of residue-frequency files generated by `get-resfreqs.py`,
group them into a single table file by matching residue pair ids, and
plot them as a clustered heat-map.
"""
from __future__ import division
import sys
import argparse
import numpy as np
from contact_calc.flare import compo... |
import os
import glob
import fire
from finetune_vs_scratch.preprocessing import special_tokens
from finetune_vs_scratch.tokenizer import tokenizer_special_tokens
from tokenizers import SentencePieceBPETokenizer, normalizers, Regex
from transformers import PreTrainedTokenizerFast
from tokenizers.processors import Robert... |
<filename>sagemaker-debugger/tensorflow_profiling/entry_point/tf-TensorLike.py
# Standard Library
import argparse
import time
# Third Party
import numpy as np
import tensorflow.compat.v2 as tf
from tensorflow.keras.applications.resnet50 import ResNet50
from tensorflow.keras.datasets import cifar10
from tensorflow.kera... |
<reponame>scopatz/pymoab
from pymoab import core
from pymoab import types
from subprocess import call
import numpy as np
import os
def test_write_mesh():
mb = core.Core()
mb.create_vertices(np.ones(3))
mb.write_file("outfile.h5m")
assert os.path.isfile("outfile.h5m")
def test_integer_tag():
mb = c... |
# copyright (c) 2018 Larz60+
import ScraperPaths
import GetPage
import CIA_ScanTools
from bs4 import BeautifulSoup
import sys
import os
class CIA_UsersGuide:
def __init__(self):
self.spath = ScraperPaths.ScraperPaths()
self.gp = GetPage.GetPage()
self.getpage = self.gp.get_page
se... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
from django.core.cache import cache
from django.test import TestCase
from django.utils.encoding import force_text
from rest_framework.test import APIClient
from drf_cache.redis_connection import RedisConn
from drf_cache.seed import update_seed_version
# @override_settings(R... |
"""
A parser for .ASC files.
"""
import re
import os
from datetime import datetime
from math import sqrt
from typing import Optional, Dict, List, Tuple
from mypy_extensions import TypedDict
from sideeye.data import Fixation, Point, Trial, Item, Experiment
from sideeye.config import Configuration, ASCParsingConfig
from... |
<filename>IQA_v9.py
import argparse
import sys
import time
import torch.nn.functional as F
from scipy import stats
from torch import nn
from torch.optim import lr_scheduler
from data import *
from models.modules.architecture import resnet50_backbone, resnet34_backbone
from models.modules.attns import Multi... |
# -*- coding: UTF-8 -*-
"""Plot OSIRIS-generated data."""
from __future__ import print_function
from __future__ import division
from glob import glob
import os
import re
from math import floor
import h5py
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import ticker
import matplotlib.colors as col... |
<gh_stars>1-10
#!/usr/bin/env python3
# Standard lib
import unittest
# 3rd party
import numpy as np
import h5py
# Our own imports
from ..helpers import FileSystemTestCase
from deep_hipsc_tracking.stats import grid_db, _grid_db
from deep_hipsc_tracking.tracking import Link
# Constants
LINK1 = Link.from_arrays(
... |
<reponame>jose-turintech/mlflow-turing-scoring-server
"""
This module implements and instantiates the common configuration class used in the project.
"""
# ────────────────────────────────────────── imports ────────────────────────────────────────── #
import sys
import tempfile
from pathlib import Path
from typing impo... |
<reponame>k-koech/password_locker
#!/usr/bin/env python3.6
from os import system
import random
import string
from user import User
from credentials import Credentials
from time import sleep
def create_user(username,password):
'''
Function to create a new contact
'''
new_user = User(username, password)... |
import datetime
import json
import logging
import urllib.request
from typing import List
import boto3
from contrail.configuration import config
from contrail.crawler.providers import aws_ec2
from contrail.crawler.providers import BaseProvider, register_provider
logger_all_regions = logging.getLogger('contrail.crawle... |
from .basic_callbacks import Callback, CancelTrainException
from ..hook import Hooks
from ..utils import ToolBox as tbox
import torch
import torch.nn as nn
import math
from functools import partial
import matplotlib.pyplot as plt
class LR_Find(Callback):
_order = 1
def __init__(self, max_iter=100, min_lr=1e-... |
#! /usr/bin/python
__author__="<NAME>"
__date__ ="$Jun 13, 2014 12:33:33 PM$"
import time
import os
from elasticsearch.transport import Transport
from elasticsearch import (Elasticsearch, RoundRobinSelector, ImproperlyConfigured, ElasticsearchException,
SerializationError, TransportError, NotFoundError, Conflict... |
import logging
from collections import defaultdict
from dataclasses import dataclass
from datetime import datetime
from enum import unique
from typing import ClassVar, Collection, Dict, Iterable, Optional, Set, Union
from asn1crypto import cms, core, keys, x509
from pyhanko_certvalidator import CertificateValidator
fr... |
#!/usr/bin/env python3
from __future__ import annotations
import math
import os
import random
import unittest
import torch
import linear_operator
from linear_operator import settings
from linear_operator.test.utils import approx_equal
from linear_operator.utils import pivoted_cholesky
def rbf_kernel(x1, x2=None):... |
from nose.tools import istest, assert_equal
from mammoth.html_generation import HtmlGenerator, satisfy_html_path
from mammoth import html_paths
@istest
def generates_empty_string_when_newly_created():
generator = HtmlGenerator()
assert_equal("", generator.html_string())
@istest
def html_escapes_text():
... |
<filename>dsgrid/dataformat/enumeration.py
import datetime as dt
import copy
from enum import Enum
import os
import logging
import pytz
import re
import numpy as np
import pandas as pd
from dsgrid import DSGridRuntimeError, DSGridValueError
from dsgrid.dataformat import ENCODING, get_str
logger = logging.getLogger(_... |
<filename>src/python/Sailing/simple_crawler/crawler.py
# -*- coding: gbk -*-
"""
HTTP Client
http://www.hzfc365.com/house_search/search_prj.jsp?lpid=1374
"""
import sys, os, logging, re
from http_client import HTTPClient
class SimpleCrawler(object):
def __init__(self):
self.http = HTTPClient()
... |
import json
import re
from moto.core.responses import BaseResponse
from .exceptions import InvalidParameterValueException
from .models import dax_backends
class DAXResponse(BaseResponse):
@property
def dax_backend(self):
return dax_backends[self.region]
def create_cluster(self):
params =... |
<reponame>joy13975/covidprof_submission
# Entry point for the COVID Professor main app
import logging
import re
import sys
from time import time
import RAKE
from multiprocessing.pool import ThreadPool
from adapter.elastic_search import ElasticSearchAdapter as SearchEngine
from adapter.twitter import TwitterAd... |
<reponame>jmikeowen/Spheral
import mpi
from Spheral2d import *
from MultiScaleMedialGenerator import *
from SpheralTestUtilities import *
from VoronoiDistributeNodes import distributeNodes2d as distributeNodes
from siloPointmeshDump import *
commandLine(ncore = 2000,
rhocore0 = 10.0,
rho... |
from __future__ import absolute_import, division, print_function, unicode_literals
from echomesh.Cechomesh import cechomesh
from echomesh.util.TestCase import TestCase
class ScrollTest(TestCase):
def setUp(self):
self.data = cechomesh.ColorList(
['red', 'green', 'blue', 'yellow',
'be... |
"""Helper functions"""
import numpy as np
import os
import pandas as pd
def TNTP_to_pandas(net_file, node_file, trips_file, flow_file=None):
"""
Converts a set of TNTP files to panda dataframes.
https://github.com/bstabler/TransportationNetworks
Parameters
----------
file : TNTP file {}_n... |
# !/usr/bin/env python
# -*- coding: utf-8 -*-
import pandas as pd
import urllib.request
# from tqdm import tqdm
# from pandas.util._validators import validate_bool_kwarg
from sklearn.model_selection import train_test_split
import warnings
warnings.filterwarnings("ignore")
# paso imports
from paso.base import pasoF... |
# Copyright (c) 2003-2013 CORE Security Technologies
#
# This software is provided under under a slightly modified version
# of the Apache Software License. See the accompanying LICENSE file
# for more information.
#
# Author: <NAME>
#
# Description:
# [MS-DTYP] Interface mini implementation
#
import random
from stru... |
# USAGE
# python server.py --prototxt MobileNetSSD_deploy.prototxt --model MobileNetSSD_deploy.caffemodel --montageW 2 --montageH 2
# import the necessary packages
from imutils import build_montages
from datetime import datetime
import numpy as np
import imagezmq
import argparse
import imutils
import cv2
# construct ... |
<reponame>swghosh/machine-config-operator<filename>hack/get-mcd-nodes.py
#!/usr/bin/env python3
# This is a simple script that grabs all the cluster nodes and associates them
# with a given MCD pod and outputs their roles. There is probably an easier way
# to do this that I am too naïve to be aware of :). Running this... |
# -*- coding: utf-8 -*-
#from pyramid.arima import auto_arima
import numpy as np
import logging
import sys
from statsmodels.tsa.api import ExponentialSmoothing, SimpleExpSmoothing, Holt
from statsmodels.tsa.arima_model import ARIMA
import statsmodels.api as sm
import matplotlib.pyplot as plt
from statsmodels.tsa.statto... |
import networkx as nx
import copy
import nltk
import subprocess
import sys
def single_cluster_modularityOV(graph, Clusters, f, nCluster):#, resultPosition):
E_in = 0
E_out = 0
E = 0
for e in graph.edges():
E += graph[e[0]][e[1]]['weight']
for v in Clusters[nCluster]:
for e in grap... |
<gh_stars>0
import os
import pickle
import tempfile
import zipfile
from contextlib import contextmanager
import pytest
import fsspec
from fsspec.core import (
OpenFile,
OpenFiles,
_expand_paths,
get_compression,
open_files,
open_local,
)
@contextmanager
def tempzip(data={}):
f = tempfile... |
#!/usr/bin/env python3
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... |
<filename>attackz.py
import os
import re
from typing import List
import click
import dnnlib
import numpy as np
import PIL.Image
import torch
import torch.nn as nn
import legacy
# Attack
import sys
sys.path.append('../boosted-implicit-models')
from experimental import AttackExperiment
import torch.optim as optim
impor... |
<reponame>qbilius/psychopy_ext<gh_stars>10-100
# Part of the psychopy_ext library
# Copyright 2010-2014 <NAME>
# The program is distributed under the terms of the GNU General Public License,
# either version 3 of the License, or (at your option) any later version.
"""
A library of helper functions for creating and run... |
<reponame>zeou1/maggot_models
#%% Imports
from operator import itemgetter
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from graspy.cluster import GaussianCluster, KMeansCluster
from graspy.embed import AdjacencySpectralEmbed, LaplacianSpectralEmbed, OmnibusEmbed
from gra... |
import os
from ekorpkit import eKonf
def test_compose_config():
cfg = eKonf.compose()
cfg = eKonf.to_dict(cfg)
assert type(cfg) == dict
def test_about():
from ekorpkit.cli import about
cfg = eKonf.compose()
about(**cfg)
assert True
def test_mecab_cfg():
config_group = "preprocesso... |
#!/usr/bin/python
# ./grading-script.py <test-dir>
import os,re,sys,shutil,random,subprocess,threading
test_dir = 'tests'
if len(sys.argv) > 1:
test_dir=sys.argv[1]
# Set up scratch space for grading
dir="grading"
try:
shutil.rmtree(dir)
except:
pass
os.mkdir(dir)
os.mkdir(dir + '/src')
re_cp=re.compile(... |
<filename>sitePjt/accounts/views.py
from django.shortcuts import render, redirect
from django.db.models import Q
from django.conf import settings
from django.contrib.auth.decorators import login_required
from rest_framework.decorators import api_view, permission_classes
from rest_framework.response import Response
from... |
from datetime import datetime, timedelta
from agagd_core.json_response import JsonResponse
from agagd_core.models import Game, Member
from django.db.models import Avg, Count
from django.db.models.functions import TruncMonth, TruncWeek
from django.http import HttpResponse
from django.views import View
class ApiStatus... |
<gh_stars>10-100
from connect import netmiko_connect
import re
SHOW_IP_ROUTE = "ip route"
SHOW_ARP = "arp"
SHOW_INT_DESCRIPTION = "int description"
SHOW_INT_BRIEF = "int brief"
SHOW_VERSION = "version"
IOS = "ios"
NXOS = "nxos"
IOSXR = "iosxr"
commands = {SHOW_IP_ROUTE: {IOS: "show ip route",
... |
import matplotlib as mpl
# Allow matplotlib plots to be rendered without active window manager
mpl.use('agg')
from readCPython import load_C_output
from getXi1 import find_root
import matplotlib.pyplot as plt
import numpy as np
import os
import argparse
def set_style(usetex=False):
""" set a proffesional look... |
<gh_stars>1-10
import logging
import re
import requests
from redash.query_runner import *
from redash.utils import json_dumps, json_loads
logger = logging.getLogger(__name__)
class ClickHouse(BaseSQLQueryRunner):
noop_query = "SELECT 1"
@classmethod
def configuration_schema(cls):
return {
... |
<reponame>bdmbdsm/openprocurement.client.python<filename>openprocurement_client/client.py<gh_stars>1-10
import logging
from functools import wraps
from io import FileIO
from os import path
from urlparse import parse_qs, urlparse
from iso8601 import parse_date
from munch import munchify
from restkit import BasicAuth,... |
<filename>src/visitpy/visit_flow/flow/tests/test_generator.py
# Copyright (c) Lawrence Livermore National Security, LLC and other VisIt
# Project developers. See the top-level LICENSE file for dates and other
# details. No copyright assignment is required to contribute to VisIt.
"""
file: test_parser.py
author: <N... |
import numpy as np
import pandas as pd
from TACT.computation.adjustments import Adjustments, empirical_stdAdjustment
from TACT.computation.ml import machine_learning_TI
def perform_SS_LTERRA_ML_adjustment(inputdata):
inputdata_test_result = pd.DataFrame()
results = pd.DataFrame(
columns=[
... |
<gh_stars>0
import os
os.environ['OMP_NUM_THREADS'] = '1'
os.environ['MKL_NUM_THREADS'] = '1'
import sys
import pandas as pd
import numpy as np
from tqdm import tqdm
from sklearn.metrics import roc_auc_score, confusion_matrix
from sklearn.preprocessing import OneHotEncoder
sys.path.append('src')
from mappings import M... |
#!/usr/bin/env python3
import os
import argparse
import pandas as pd
from skbio.diversity import beta_diversity
from skbio.stats.ordination import pcoa
from skbio.stats.distance import anosim
import matplotlib.pyplot as plt
import warnings
#How to use:
#Standalone:
# navigate '/media/nls/Storage/HomeBU/Python... |
## Core App
# holds all of the central code that is important to the rest of the sub apps that we create in our system
# creates anything that is shared between 1 or more apps so things like the migrations and the database. (All in One Place)
# A universally unique identifier (UUID) is a 128-bit "Encrypted" la... |
from __future__ import print_function, absolute_import, division, unicode_literals
import os
from setuptools import find_packages, setup
_HERE = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(_HERE, 'README.md'), 'r') as f:
long_desc = f.read()
setup(
name='hyp3lib',
use_scm_version=T... |
<reponame>JonasZehn/ntopo
import os
import math
import json
import jsonpickle
import numpy as np
import tensorflow as tf
import tensorflow.keras.backend as K
from tensorflow.keras import Model, Sequential, Input
from tensorflow.keras.layers import Layer, Dense, Concatenate, BatchNormalization, LeakyReLU
from tensorfl... |
<reponame>ledomone/kurs_django
"""
Django settings for biblio project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
"""
from configurations import Configuration
# ... |
<reponame>LB-JakubSkorupka/o3de
"""
Copyright (c) Contributors to the Open 3D Engine Project.
For complete copyright and license terms please see the LICENSE at the root of this distribution.
SPDX-License-Identifier: Apache-2.0 OR MIT
"""
import copy
from typing import (Dict, List)
from unittest import TestCase
from ... |
"""
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOU... |
from typing import (
TYPE_CHECKING,
Any,
Callable,
Coroutine,
)
from eth_utils.toolz import (
assoc,
)
from web3.exceptions import (
InvalidTransaction,
TransactionTypeMismatch,
)
from web3.types import (
BlockData,
RPCEndpoint,
RPCResponse,
TxParams,
Wei,
)
if TYPE_CH... |
<filename>Segment/performance.py
import os
import time
import math
import pathlib
import cv2 as cv
import numpy as np
import pandas as pd
from tqdm import tqdm
from functools import reduce
import matplotlib.pyplot as plt
from collections import Counter
def get_path(file_dir):
"""获取当前目录下，文件的绝对路径以及文件名... |
<gh_stars>1-10
from tkinter import *
from tkinter import messagebox
from tkinter import ttk
import random
import time
from bubblesort import bubble_sort
from selectionsort import selection_sort
from insertionsort import insertion_sort
from mergesort import merge_sort
from quicksort import quick_sort
root ... |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
# Copyright (c) <NAME> 2016. All Rights Reserved.
# slipy/spectrum/spectrum.py
"""Spectrum class interface."""
from algorithms import *
from calibration import *
from core import *
from etc import *
from gui import *
from measurement import *
from operat... |
#!/usr/bin/env python
# encoding: utf-8
# Copyright (c) 2016-2017, <NAME> (www.karlsruhe.de)
#
# 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... |
<gh_stars>1-10
import asyncio
import aiohttp
import async_timeout
import copy
class tdCall(object):
"""
Prepares arguments for making HTTP calls to TDAmeritrade API.
Gets data from TDAmeritrade API.
Processes the result from TDAmeritrade.
"""
base_url = "https://api.tdameritrade.com/v1/"
de... |
<filename>src/interface/BaseHardwareInterface.py
from monotonic import monotonic
ENTER_AT_PEAK_MARGIN = 5 # closest that captured enter-at level can be to node peak RSSI
class BaseHardwareInterface(object):
LAP_SOURCE_REALTIME = 0
LAP_SOURCE_MANUAL = 1
LAP_SOURCE_RECALC = 2
RACE_STATUS_READY = 0
... |
<filename>onefile-example_douyin.py
# from ytb_up import *
from ytb_up.douyin import DouyinUpload
from datetime import datetime,date,timedelta
import asyncio
import json
profilepath = ''
CHANNEL_COOKIES='assets/douyin-cookie.json'
videopath = 'assets/hello.mp4'
tags = ['ba,baaa,bababa']
publish_date = ''
# if you use s... |
<reponame>JosephGarrone/uqcsbot-1
from typing import List
import re
from datetime import date, datetime, timedelta
from calendar import month_name, month_abbr, day_abbr
from icalendar import Calendar
import requests
from pytz import timezone, utc
from typing import Tuple, Optional
from uqcsbot import bot, Command
from ... |
# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... |
<filename>src/data/bgg_weekly_crawler.py
from bs4 import BeautifulSoup
import requests
import pandas as pd
import json
from requests.compat import urljoin
from datetime import datetime
import re
def game_data():
xml_bs = "https://www.boardgamegeek.com/xmlapi2/thing?type=boardgame&stats=1&ratingcomments=... |
<reponame>compomics/rescore
"""Interface to MaxQuant msms.txt files."""
import logging
import os
import re
from functools import cmp_to_key
from typing import Dict, List, Optional, Tuple, Type, Union
import click
import numpy as np
import pandas as pd
from ms2rescore.peptide_record import PeptideRecord
from ms2resco... |
#!/usr/bin/env python3
from sys import stderr,exit,argv
import json,yaml,os,ipaddress,random,pynetbox
import requests as req
from pprint import pprint
from uuid import uuid4
# display error & bail out
def fail(*messages):
print(*messages, file=stderr)
exit(1)
def generate_mac():
prefix = [0x52, 0x54, 0x00]
... |
<reponame>PLM912/Keter
import time
import discord
import psutil
import os
from datetime import datetime
from discord.ext import commands
from evs import default
class Information_ja(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.config = default.get("config.json")
self.process... |
import numpy as np
import tensorflow as tf
from matplotlib import pyplot as plt
from sklearn.manifold import TSNE
from tensorflow.keras.layers import Dense, Flatten, Conv2D, Conv2DTranspose, \
Reshape
from tensorflow.keras import Model
LATENT_DIM = 10
train_loss_autoencoder = tf.keras.metrics.Mean(name='train_los... |
#!/usr/bin/env python
#
# Set it up so we can painless run the python nose tests against the localhost 8983.
# Summary:
#
# ./run_solr_for_unit_tests.py [--debug] [--debug-port=9999] [--port=8983]
#
# Add the argument "--debug" to start the Jetty server in debug mode. Specify the port with "--debug-port=XXXX".
# Assu... |
<filename>python/histogram.py
#!/usr/bin/python
######################################
# @file histogram.py
# @author <NAME>
# @date 5/29/07
# @brief outputs a histogram in lc format given input lc format & bin structure
######################################
from optparse import OptionParser
import os
import re
impor... |
from PIL import Image, ImageDraw, ImageFont
import math
from gauge import Gauge
class RPM(Gauge):
def __init__(self, fontfile='Roboto-Regular.ttf', size=256):
self.size = size
self.fontfile = fontfile
self.fontbig = ImageFont.truetype(self.fontfile, size=int(self.size/4))
s... |
<reponame>peichman-umd/plastron<filename>plastron/handlers/ndnp.py
""" Classes for interpreting and loading metadata and files stored
according to the NDNP specification. """
import csv
import logging
import lxml
from lxml.etree import parse, XMLSyntaxError
import os
from plastron import pcdm
from plastron.excepti... |
# 6.00 Problem Set 8
#
# Name:
# Collaborators:
# Time:
import numpy
import random
import matplotlib.pyplot as plt
from ps7 import *
#
# PROBLEM 1
#
class ResistantVirus(SimpleVirus):
"""
Representation of a virus which can have drug resistance.
"""
def __init__(self, maxBirthProb, clearProb... |
_base_ = [
'../_base_/datasets/dota.py',
'../_base_/schedules/schedule_1x.py',
'../../_base_/default_runtime.py'
]
model = dict(
type='OrientedRCNN',
backbone=dict(
type='SwinTransformer',
embed_dims=96,
depths=[2, 2, 6, 2],
num_heads=[3, 6, 12, 24],
windo... |
<gh_stars>0
# MIT LICENSE
#
# Copyright 1997 - 2020 by IXIA Keysight
#
# 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... |
# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
class BerkeleyDb(AutotoolsPackage):
"""Oracle Berkeley DB"""
homepage = "https://www.oracle.com/database/technol... |
<reponame>agucova/cs42
import check50
@check50.check()
def muro_0():
"""muro_0"""
check50.run("python3 costear.py").stdin("V--V----V--P--VV---V------V--P--V--V", prompt=False).stdout("60", regex=False).exit(0)
@check50.check()
def muro_1():
"""muro_1"""
check50.run("python3 costear.py").stdin("V--P--V... |
# Copyright 2021, <NAME>, mailto:<EMAIL>
#
# 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 w... |
<gh_stars>1-10
from app.api.services.game_services.action_handlers.action_handler import (
ActionHandler
)
from app.schemas import game_schema
from app.schemas.game_schema import VoteCard, State, Positions
class VoteActionHandler(ActionHandler):
@property
def activity_text(self):
return f"{self.pl... |
<filename>django_inventory/apps/inventory/__init__.py<gh_stars>0
from __future__ import absolute_import
from django.utils.translation import ugettext_lazy as _
from common.api import register_links, register_menu
from .models import Location, ItemTemplate, Inventory, InventoryTransaction, Supplier
inventory_list = ... |
#
# This file is part of CasADi.
#
# CasADi -- A symbolic framework for dynamic optimization.
# Copyright (C) 2010-2014 <NAME>, <NAME>, <NAME>,
# <NAME>. All rights reserved.
# Copyright (C) 2011-2014 <NAME>
#
# CasADi is free software; you can redistribute it and/or
# ... |
<filename>src/unregulated_genes/models.py
import math
import random
import numpy
import pandas
from scipy.integrate import odeint
"""
This models the ODE of an unregulated genetic expression of a prokaryotic cell
k0 is the rate at which mRNA is being generated
k1 is the rate at which proteins are being
dm and dp are ... |
<gh_stars>0
import numpy as np
import cv2
import pickle
nx = 9 # Num of corners per row
ny = 6 # Num of corners per column
def abs_sobel_threshold(img, orient, sobel_kernel, thresh):
"""
:param img:
:param orient:
:param sobel_kernel:
:param thresh:
:return:
"""
gray = cv2.cvtColor(i... |
<gh_stars>100-1000
import torch
from torch.nn.functional import softmax
from .generator.jacobian import Jacobian
from .layercollection import LayerCollection
def FIM_MonteCarlo(model,
loader,
representation,
variant='classif_logits',
trials=1... |
<filename>program/program/CalibrationResults.py<gh_stars>1-10
import json
import os
from datetime import datetime
import numpy
def get_current_time():
return datetime.now().strftime("%Y-%m-%d-at-%H-%M")
class CalibrationImportError(RuntimeError):
pass
def import_json(target, json_file):
'''Maps impor... |
<gh_stars>1-10
#!/usr/bin/env python3
# Copyright (C) 2020, 2021 University of Rochester
#
# 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
#
... |
from .testcase import DatatableViewTestCase
from .test_app import models
from .. import utils
def get_structure(columns, opts):
return utils.get_datatable_structure('/', dict(opts, columns=columns), model=models.ExampleModel)
class UtilsTests(DatatableViewTestCase):
def test_get_first_orm_bit(self):
... |
#
# Copyright (c) 2016 Nutanix Inc. All rights reserved.
#
#
# Steps included in experimental are for internal experimental use only.
#
import logging
import os
import subprocess
import requests
from curie.exception import CurieTestException
from curie.steps._base_step import BaseStep
log = logging.getLogger(__name_... |
<filename>soundspaces/tasks/nav.py
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import pickle
from typing import Any, Type, Union
import logging
import numpy as np
impor... |
<reponame>steemfans/steem-lightdb<filename>transfer/user_relation.py
#!/usr/bin/python3
#encoding:UTF-8
import json, os, sys, time
import utils.TransferTasks as tasks
import utils.utils as utils
from utils.BlockProcess import BlockProcess as BlockProcess
import asyncio, aiomysql
from multiprocessing import Pool
from co... |
# Unless explicitly stated otherwise all files in this repository are licensed
# under the Apache License Version 2.0.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2018 Datadog, Inc.
from datetime import datetime
import json
import logging
import os
import sys
import... |
import torch
torch.backends.cudnn.benchmark = True
from trainer.base_audio_trainer import BaseAudioTrainer
from logger.new_callbacks import Callbacks
from torch.utils.data import DataLoader
from dataloader.audio_dataset import AudioDataset
from torch.optim.lr_scheduler import CosineAnnealingLR
from models.audio_mode... |
<reponame>seth586/lndmanage<filename>lndmanage/lib/report.py
"""
Creates reports for forwardings, channel opens/closings, onchain activity.
"""
import logging
from datetime import datetime
from lndmanage.lib.ln_utilities import (
convert_channel_id_to_short_channel_id,
height_to_timestamp
)
logger = logging.ge... |
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