text stringlengths 65 6.05M | lang stringclasses 8
values | type stringclasses 2
values | id stringlengths 64 64 |
|---|---|---|---|
# Sample module in the public domain. Feel free to use this as a template
# for your modules (and you can remove this header and take complete credit
# and liability)
#
# Contact: Brian Carrier [carrier <at> sleuthkit [dot] org]
#
# This is free and unencumbered software released into the public domain.
#
# Anyone is f... | Python | CL | bd8ef12c5c4434beffaa3b9393f53d4630a688c1d70d4ea2dbd9fd174ab22380 |
#
# 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
# ... | Python | CL | 7b44339e542e855c867d5a3a053cb7e87d94972bd58f3f1fa112669872360f3d |
"""Run this script to start the digital brain."""
from app.ask import ask
import app.io as io
from app.language import get_language
from app.match import Matcher
from app.memories.persistent import PersistentMemory
from app.tell import tell
from app.types.command import Command
from app.types.validation import Validat... | Python | CL | e195db08285178137acdd2d64cc32c6ebd8dc865079ee5fd4db5eb70fd490917 |
import numpy as np
import torch
import json
class ImageDatabase(torch.utils.data.Dataset):
"""
Dataset for IMDB used in Pythia
General format that we have standardize follows:
{
metadata: {
'version': x
},
data: [
{
'id': DATASET_SET_ID,... | Python | CL | 167ed5a734fba6960c86bf950496a92ed610542fd118ef842571667ca102f73b |
"""
For now, there is a single _read() and a single _write() method, tied to the
file system. In the future, these will be code cells in a context, and it
will be possible to register custom _read() and _write() cells, e.g. for
storage in a database.
Same for _exists.
_init() is invoked at startup:
If authority is... | Python | CL | 99d7860d6f7df96b7cdfd792a7694cbabe2021eeb5acc3befd4a4ad9febe986c |
"""Test cases for rule factory."""
import string
import random
from urllib.parse import urljoin
from looseserver.common.rule import RuleFactory
from looseserver.server.application import configure_application, DEFAULT_CONFIGURATION_ENDPOINT
def test_rule_factory(server_response_factory, server_rule_prototype):
... | Python | CL | cee18ec89332c1c2e47881d8cc4654259ccd619612d2277780153c254b25e524 |
import matplotlib; matplotlib.use("agg")
from __future__ import print_function
import functools
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import ROOT;
import sys
sys.path.append('/global/homes/w/wbhimji/cori-envs/nersc-rootpy/lib/python2.7/site-packages/')
import root_numpy as rnp
# # ... | Python | CL | 668a58e7656eee33e6817092f655296e709766dfb012a417e0672be9d29afb62 |
'''
GUI module graphic generator
Created on: 11-20-2019
Last edited: 11-20-2019
@Copyright - Ken Trinh
@All rights reserve
'''
import tkinter as tk
import abc
class PlotterGUI(metaclass=abc.ABCMeta):
#Constructor
def __init__(self):
pass
#String Method
def __str__(self):
return "Generic GUI generator"
... | Python | CL | 1e9d5866b542299f154a18e26eba6065e019d9a72632849ff0fdb49b7f768996 |
# coding: utf-8
import random
import time
import hashlib
from inspect import isclass
from git import Repo as GitRepo
from sqlalchemy.inspection import inspect as sqlalchemyinspect
from sqlalchemy.ext.declarative import declarative_base
from pykl.tiny.grapheneinfo import (
_is_graphql,
_is_graphql_cls,
_i... | Python | CL | 22fb2adfec713f198880f419af613a91742872984b8d7386f81ff824301fc6a2 |
class Formula:
def __init__(self, formula: str="", str_logic= "", disjunctions=None):
self.disjunctions = []
if formula != "":
formula = self.remove_comments(formula)
self.num_variables, self.num_clauses, formula = self.variables_and_clauses(formula)
self.str_form... | Python | CL | f9148d29ea66973dde92448d8d926f8470ed123e3c44340c065a5720ac83b025 |
class FSMError(Exception):
"""An exception class for StateMachine.
"""
def __init__(self, msg):
self.msg = msg
class StateMachine(object):
""" A class to represent a Finite State Machine.
"""
def __init__(self):
self.handlers = {}
self.arrival_handlers = {}
self... | Python | CL | c4c20190f64b18360e5d3aeaffd8f7830622895a4e8d396cec980099dab12af9 |
#!/usr/bin/env python
# -*- Mode: Python; tab-width: 4; indent-tabs-mode: nil; coding: utf-8; -*-
# vim:set ft=python ts=4 sw=4 sts=4 autoindent:
"""Per-project configuration functionality for Brat Rapid Annotation Tool
(brat)
Author: Pontus Stenetorp <pontus is s u-tokyo ac jp>
Author: Sampo Pyysalo ... | Python | CL | d7233df58b8b111b1b8ef14e2b2fb6b5d127371716390dc90a32144f4d938c81 |
# coding: utf-8
# Distributed under the terms of the MIT License.
""" This file defines some useful scraper functionality,
like custom errors and a scraper function wrapper.
"""
import glob
import os
import gzip
import traceback as tb
from matador.orm.spectral import VibrationalDOS, VibrationalDispersion
from matad... | Python | CL | 0acee167e53749dfe7a8cf9d5b8d28519fce08076fe452efe2ddeead69fda601 |
import os
import logging
from datetime import datetime
import numpy as np
from sklearn.metrics import accuracy_score, f1_score
import vaex
import vaex.ml
import vaex.ml.lightgbm
# Configure logging
logging.basicConfig(level=os.environ.get("LOGLEVEL", "INFO"))
log = logging.getLogger(__name__)
# Stream the data fro... | Python | CL | 9d46b8b0ecc5e18d6b524994f06ed0ff9cd395b2e5e49beba42ab4070baa3dae |
"""
### **Execution Environment**
Working examples of all flavors of image specification.
An image can be:
* an existing image from Dockerhub or another image registry
* a python image with python requirements
* a dockerfile for full flexibility
Code can be added to an image:
* copy local code
* clone from git
* use ... | Python | CL | 8896cd0c69cce17386bced02272d4c196a0fe54a387d4b4fc80d5eb8813ae9be |
#!/usr/bin/env python
import sys, math, os, glob
import re as regex
import argparse
import toml
import numpy as np
import h5py
import asteval
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plot
from matplotlib.backends.backend_pdf import PdfPages
from pbpl.units import *
from .core import setup_plo... | Python | CL | f132781467585c9ba7c2ca2571dc014a23f3109fbaa6f102af7b7138c220b238 |
#! /usr/bin/env python3.3
"""Common functions for all P4GF server implementations."""
from collections import namedtuple
from contextlib import contextmanager, ExitStack
import functools
import logging
import os
import random
import re
import signal
import sys
import time
import p4gf_atomic_lock
from P4 import Map, P... | Python | CL | d3a4c8ca8b1a9b2d28836d1991e1314e0d2e15e48b8d517ebbed6cc7d318cf0c |
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 18 16:02:26 2021
@author: Syed Muhammmad Hamza
"""
from keras.layers import merge, Dropout, Dense, Lambda, Flatten, Activation
from keras.layers.convolutional import MaxPooling2D, Convolution2D, AveragePooling2D
from keras.layers.normalization import BatchNormaliz... | Python | CL | aceca5172043b90253a1f26a739beb1e0bcd9f7158c0bc2c763f929fe651fd4e |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import sys
import tensorflow as tf
class ImageRecognizer:
def __init__(self, path, graph, labels, input_layer_name, output_layer_name, num_top_predictions):
self.path = path
... | Python | CL | 3e956ac922c734b85c6b09046de4f2141d5ecc7b0040e301fc8de18d48be1530 |
# -*- coding: utf-8 -*-
r"""Kinked WLC with twist and fixed ends
This module calculates statistics for a series of worm-like chains with twist (DNA linkers) connected
by kinks imposed by nucleosomes. Calculations include R^2, Kuhn length, propogator matrices,
full Green's function for the end-to-end distance of the po... | Python | CL | ae5a6d93f59a732751230e316016b1f1f26aec92c0591e4f90dbeefc61d1f7c9 |
# Class adapted from:
# https://github.com/TheMrGhostman/InceptionTime-Pytorch
# and
# https://github.com/okrasolar/pytorch-timeseries
import numpy as np
from typing import cast, Union, List
import torch
from torch import nn
from DeepLearning.deep_learning_utils import Conv1dSamePadding
class ShortNetwork(nn.Module... | Python | CL | ff6fcfa2312245300dc4df93ddaea78752669a387e56075963a59b681fcd3ce1 |
import torch
import torch.nn as nn
from collections import OrderedDict
# import tensorboardX as tbx
from package.model.vgg import vgg16, vgg16_bn
class Flatten(nn.Module):
def __init__(self):
super(Flatten, self).__init__()
def forward(self, x):
x = x.view(x.size(0), -1)
return x
cl... | Python | CL | 70d9e66571fc9558945b7d35e33d51c3db5e90b1ae6a75a9814923068212360a |
# PySNMP SMI module. Autogenerated from smidump -f python OSPF-MIB
# by libsmi2pysnmp-0.1.3 at Thu May 22 11:58:06 2014,
# Python version sys.version_info(major=2, minor=7, micro=2, releaselevel='final', serial=0)
# Imports
( Integer, ObjectIdentifier, OctetString, ) = mibBuilder.importSymbols("ASN1", "Integer", "Obj... | Python | CL | 38f6a2b426600eb4e819eeff1553b2c81deeedb7b89cae639e9317722c89cf6e |
#!/usr/bin/env python3.7
'''
Python >=3.7 script to generate a human-readable XLSX
dump on a specified Nutanix Prism Central instance
'''
import os
import os.path
import sys
import socket
import getpass
import argparse
from time import localtime, strftime
from string import Template
try:
import urllib3
impor... | Python | CL | b9420795be63d1f906125edc5fdb3a69a105f1ecec154da41397439eae4ceb99 |
import json
from vkwave.api.methods import APIOptionsRequestContext
from vkwave.bots.core.types.json_types import JSONDecoder
from vkwave.http import AbstractHTTPClient
from vkwave.types.responses import DocsSaveResponseModel
class VoiceUploader:
def __init__(
self, api_context: APIOptionsRequestContext,... | Python | CL | 0c41be37f2a32504bddf217f368751f01e6693d58d60d935a8675be3f274e8a8 |
"""Create the object store groupworkspace names, gws manager, quota and email
from the elastic tape quotas and create user records, groupworkspace records
and object store quotas.
This script is run via ./manage runscript"""
import jdma_site.settings as settings
from jdma_control.models import User, Groupwork... | Python | CL | 7630837e5a2c8369370257741691147b4b0fb0c8f6970f5fdd9c41e141129f79 |
# -*- coding: utf-8 -*-
import re
import numpy as np
from typing import List
def append_EOS(texts: List[str], eos: str) -> List[str]:
"""
Appends EOS to each text.
>>> texts = ["a\\n", "b\\n"]
>>> eos = "<EOS>"
>>> append_EOS(texts=texts, eos=eos)
['a<EOS>', 'b<EOS>']
"""
return [text.... | Python | CL | d87842211d02e8779f4e1e2b97629d5086874566bebb2a0292a2f7aaff20bf1f |
#!/usr/bin/env python3
"""Handle graphing of Azure network deployments.
Copyright 2021 Alexander Kuemmel
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-... | Python | CL | 3d1271c9b1e9c93110676f1ffd7039d75cd2f66050fcba2a76b9b1d4d2387b6a |
from django.db.models import Count
from django.shortcuts import get_object_or_404
from django.http import Http404
from django.urls import reverse_lazy
from django.views.generic import DetailView, TemplateView, RedirectView, ListView
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from blog.for... | Python | CL | 88d78450a570a0b39aeb4f7fd6d82d142de87e81e2449e18cd52c403ebbd2b69 |
#! /usr/bin/env python3
#
import numpy as np
import matplotlib.pyplot as plt
import platform
import time
import sys
import os
import math
from mpl_toolkits.mplot3d import Axes3D
from sys import exit
sys.path.append(os.path.join("../"))
from base import plot2d, plotocc
from timestamp.timestamp import timestamp
from i... | Python | CL | 3a01b451ac800031e3112891b2fcccc27674f08ebecc211f6c22311b928f3a88 |
# Copyright (c) 2019-2020, RTE (https://www.rte-france.com)
# See AUTHORS.txt
# This Source Code Form is subject to the terms of the Apache License, version 2.0.
# If a copy of the Apache License, version 2.0 was not distributed with this file, you can obtain one at http://www.apache.org/licenses/LICENSE-2.0.
# SP... | Python | CL | 0160a1441a243427d7edaa7bb4342008d090d4d46627a295a66bce48173b26ad |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import time
import xml.etree.ElementTree as ET
__all__ = ["Message", "User", "Location"]
def pop_from_etree(xml, tag):
ele = xml.find(tag)
if ele is not None:
xml.remove(ele)
return ele
return None
class D... | Python | CL | dc5bb4500e3d0200208b420a95463ac3f0d8355c8a95628f6bddbb7cf6bbc62d |
# use dig to validate DNS record then add valid records to Smokeping Target
# convert valid FQDNs from `dig -f +noall +answer` to SmokePing targets
#
# example input format
# dl.t6.lixian.vip.xunlei.com. 1783 IN CNAME t0540.sandai.net.
# t0540.sandai.net. 1783 IN A 61.147.76.41
# dl.t13.lixian.vip.xunlei.com. 1785 IN C... | Python | CL | 62cebdd374ec14563a12f2999581f91674d0cf69f53905427cea5370a59b005b |
import untangle
import collections
import json
import operator
import os
import csv
import io
cube_visualstudio_path = os.path.join('..', '..', 'Contract_r')
output_folder = os.path.join('.', 'output')
def enumerable_diffs(ea, eb):
return [a for a in ea if a not in eb]
create_tables_using_friendly_names = True... | Python | CL | 1f5cfa35126402e58b2655d098ee7637981ad2e23610c626baa7f43b40b494ae |
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
import gym
import matplotlib.pyplot as plt
# @misc{pytorchrl,
# author = {Kostrikov, Ilya},
# title = {PyTorch Implementations of Reinforcement Learning Algorithms},
# year = {2018},
# publisher = {... | Python | CL | 88b0dbc06f936dc94c4293e048aae50a08994a5dc648b5f9e9d63ae218a6da29 |
from get_eigen_space import get_eigen_space
from datagen import get_face94_male
import pickle
import os
from test import test
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('-f', '--file_path', help="file path to image data", type=str, default='data/faces94/m... | Python | CL | 92406f51e7073c024d7b20aff8ed83e1550cfb79be9ad01ef97fc34f0b90a3f7 |
# -*- coding: utf-8 -*-
import json
import os
import unittest
from configparser import ConfigParser
from unittest.mock import Mock
from installed_clients.WorkspaceClient import Workspace
from kb_ModelIndexer.kb_ModelIndexerImpl import kb_ModelIndexer
from kb_ModelIndexer.kb_ModelIndexerServer import MethodContext
cl... | Python | CL | ea0c3ec77f98e267c3b21330bd331eb487a6a7234ca758032da3557b08bd405c |
import os
import sys
import logging
import argparse
sys.path.append("libs")
import numpy as np
import tensorflow as tf
from tensorflow.keras import backend as K
from utils import Init_logging
from cvae import CollaborativeVAE
from data import CVaeDataGenerator
from pretrain_vae import get_lp_vae
from la... | Python | CL | 577290b6880d6a8d2578c6d4e2ce0315bc84800c02a9956503a2d894d7438c5c |
"""
The long short term Memory (LSTM) neural network, which can capture temporal information,
has a strong ability to capture long information with its own Memory attributes
"""
# use RNN to finish text classification
from __future__ import absolute_import
from __future__ import division
from __future__ import prin... | Python | CL | d752c02071c581eaad4c552bd3fffe5f32aaf836b50ca1b93b4340d14c5d1e3b |
"""ProjectAuto URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Clas... | Python | CL | cb32cf4feb09bba132e1f49b9ba21ede35f99ca31191ffcd44dd86a9015d903f |
""" Useful tools. Stolen from here: https://github.com/Swall0w/torchstat"""
import numpy as np
import torch
import torch.nn as nn
def compute_flops(module, inp, out):
if isinstance(module, nn.Conv1d):
return compute_Conv1d_flops(module, inp[0], out)
if isinstance(module, nn.Conv2d):
return com... | Python | CL | 2c2f815216399c33b1827d63ad6a0d67245d3379ffa5df0a7817bccfb2495476 |
from cs import CloudStack
from cs import CloudStackException
from heat.engine import properties
from heat.engine import resource
from gettext import gettext as _
from time import sleep
__author__ = 'cima'
class CloudstackSecurityGroup(resource.Resource):
PROPERTIES = (
API_ENDPOINT,
API_KEY,
... | Python | CL | 1883b7b14959e02224595dcd2e0e3fb1cbb09c253f2d9995659b9ecaa0ea0fe4 |
from distutils.core import setup
from setuptools import find_packages
setup(name='tezos-hd-util',
version='0.1.7',
packages=find_packages(),
install_requires=[
'chainside-btcpy-multi>=0.2.78,<0.3.0',
'pyblake2>=1.1.2,<2.0.0',
'secp256k1new>=0.13.2,<0.14.0',
]... | Python | CL | 6aaab345d1d3bf3bb1ce9c82f8d57d24203c7a129ea4298cc5f2eb64c17b03ba |
from data_reader.utils import get_dicts, get_schema_emb
from data_reader.read_data import get_dialogues, get_seqs, get_batch, get_frame_level_data
from models.utils import get_bert_tokenizer
from models.model import Model
import numpy as np
from loss import LossFn
from transformers import *
import torch
import os
from ... | Python | CL | 4c5e3bf479164926b49627915a8d9d485fab07a49c44ea5f25e8b191b96f9589 |
# read genIO CCI data and write it to csv timeseries
import numpy as np
from rsdata.ESA_CCI_SM.interface import ESA_CCI_SM
from pygeogrids.grids import CellGrid
import pygrids.ESA_CCI_SM as cci_grid
from datetime import datetime
from pytesmo.timedate import julian
import matplotlib.pyplot as plt
def read_gpis():
... | Python | CL | 23c1652ccf639f9274c910a3016bac56315a5e06daa9e1b584cde0ac2bc987ed |
"""Miscellaneous utility methods for this repository."""
import os
import errno
import functools
import inspect
import warnings
def ensure_dir(path):
"""Ensure that the directory specified exists, and if not, create it."""
try:
os.makedirs(path)
except OSError as exception:
if exception.er... | Python | CL | bf61dcb530bbf06e9b9483646e79d47f22542aca2f6e614fcb4f17bedb02a29a |
import numpy as np
from growth_rate import growth_factor
from pmh import Pmm, get_PkInterps, linz_bz
from prep_camb import CAMB, Clxy
from scipy.integrate import simps
from params import get_params
from scipy.interpolate import ... | Python | CL | 4e4569f804103028ff3fe3f3caf2c5aff84ab098502636c7f4e3fce6a005f716 |
#!/usr/bin/python2
#
# Copyright (c) 2012 The Native Client Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Obtain objdump and gas binaries.
Usage:
obtain_binutils.py <objdump> <gas>
Check out appropriate version of binutils, ... | Python | CL | 1e5ebc9d84fb6cc0cdce89a88ba6bb8de7d7a003032a177bde88c911cb70704b |
#!/usr/bin/env python
"""
WSGI config for mysite project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.8/howto/deployment/wsgi/
"""
import os
from os.path import dirname,abspath
PROJECT_DIR = dirname(dirnam... | Python | CL | 8edb30ce5200a421600e344cd6442298a69f8f4d573fa232605bccd68b57594a |
"""
Chains find_files with a .get request:
A script to list files, pulled from: https://developers.google.com/drive/api/v3/reference/files/list
"""
from ..CLI import CLI
from ..Services import FilesService as Files
from ..Utilities import Downloader
params = CLI.get_parse_dict(
(
"--dir",
dict(
... | Python | CL | 7fdfb8bb73733464a1907e3de1b16243f93fd70e0ced88ae98091ded991951fe |
# ***************************************************************
# Copyright (c) 2019 Dun Liang <randonlang@gmail.com>. All Rights Reserved.
# This file is subject to the terms and conditions defined in
# file 'LICENSE.txt', which is part of this source code package.
# *************************************************... | Python | CL | e1704013bb2b9a715dc595c1792f1dfa1d3d674de687f00dcbc083c0e0b9c800 |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright 2005,2006 TUBITAK/UEKAE
# Licensed under the GNU General Public License, version 2.
# See the file http://www.gnu.org/licenses/old-licenses/gpl-2.0.txt
from pisi.actionsapi import autotools
from pisi.actionsapi import pisitools
from pisi.actionsapi import shellto... | Python | CL | 1e80e1797bfe01c0f57fefa43bfa163f537058290581e848488dfc3b9a3d2f15 |
# -*- coding:utf-8 -*-
import os
import sys
import signal
import argparse
import json
import time
from kafka import KafkaProducer, KafkaConsumer
from kafka.errors import kafka_errors
from phystats.logger import logger
from phystats.daemonize import daemonizef
from phystats.collector.power_info import power_info
from p... | Python | CL | 556dbb5225d94eb1dbe6edf749027c2e4aec287b5acc073f77d2c070e809ef5f |
# Chris Hicks 2020
#
# Selection of the ith order statistic (e.g. smallest or median) of an array is a
# fundamentally easier problem than sorting and can be done in linear time!
#
# Input: A file of integers, one per line, first line specifies size and i.
# Output: The ith order statistic of the input array of integer... | Python | CL | 1a9d43ec4ac8626dd35dc59d1324d5b127d6acf9de80ce1269a785ded8891ea3 |
import math
import numpy
import numpy.random as nrand
"""
Note - for some of the metrics the absolute value is returns. This is because if the risk (loss) is higher we want to
discount the expected excess return from the portfolio by a higher amount. Therefore risk should be positive.
"""
def vol(returns):... | Python | CL | 5cae5743e66147a8febae09faf34f1d3d0c0df427c47b22de9b857dd9da6c338 |
import base64
import os
from argparse import Namespace
from unittest import TestCase
from unittest.mock import MagicMock, patch
from onelogin_aws_cli import OneloginAWS
TEST_ROOT = os.path.join(os.path.dirname(__file__), "fixtures")
class TestOneloginAWS(TestCase):
ROLE_PREFIX = "arn:aws:iam::123456789012:role/... | Python | CL | 18ba467bdd504d155ce13e3ac1dc6234c0420ae5cd7689dbffa7db156b29d072 |
'''
Created on Feb 21, 2018
@author: dgrewal
'''
import pypeliner
import pypeliner.managed as mgd
from wgs.utils import helpers
def create_vcf2maf_workflow(
vcf_file,
maf_file,
reference,
vep_fasta_suffix,
vep_ncbi_build,
vep_cache_version,
vep_species,
... | Python | CL | 0c2d600c41e98ad57154aea85ee8cbd8e58b7c954d0b7fdf00bef904eba65d0d |
import os
import requests
import re
from tqdm import tqdm
import zipfile
import numpy as np
# consts
DATA_DIR = 'data'
RAW_DATA_DIR = os.path.join(DATA_DIR, 'raw')
METRICS_DATA_DIR = os.path.join(DATA_DIR, 'with_metrics')
RESULTS_DIR = 'results'
EXPERIMENTS_DIR = os.path.join(DATA_DIR, 'experiments')
LABEL_VAL_FIELD =... | Python | CL | 78bfecbf006fefb322df707d48dd664b280501c21fd08dd952358329c305b796 |
"""Logging utility
"""
from ..helper.models import MetricUnit
from .logger import (
log_metric,
logger_inject_lambda_context,
logger_inject_process_booking_sfn,
logger_setup,
)
__all__ = [
"logger_setup",
"logger_inject_lambda_context",
"logger_inject_process_booking_sfn",
... | Python | CL | cc8a90343cb167e91c038ef6b247eedce9fa135505c2182b61dc7eeecfe472a5 |
#!/usr/bin/python
import logging
import logging.config
import sys
import importlib
from ansible.module_utils.basic import AnsibleModule
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
import datetime
from ibmsecurity.appliance.isdsappliance import ISDSAppliance
fro... | Python | CL | d3b8bb8b136ad1568ef78dfb188153c163307439ac19947435bce036dfabbcb7 |
import torch
import numpy as np
class PartialDataset(torch.utils.data.Dataset):
def __init__(self, parent_ds, offset, length):
self.parent_ds = parent_ds
self.offset = offset
self.length = length
assert len(parent_ds) >= offset + length, Exception("Parent Dataset not long enough")
... | Python | CL | 16875da198ea78345a88a083be1b2e7e1f9820bc4267879fb7180f766188ccdd |
# --------------------------------------------------------
# Author: James Griffiths
# Date Created: Monday, 1st July 2019
# Version: 1.0
# --------------------------------------------------------
# Challenge six ------------------------------------------
# Description: http://www.pythonchallenge.com/pc/def/peak.html... | Python | CL | 159148330f91192bc7a76c8d49754a86dba4c2fc7539b343d83404bc37155a90 |
class RunningModeEnum:
RANDOMIZATION = "data_randomization"
REACTION_BASED_SLICING = "reaction_based_slicing"
DUPLICATE_REMOVAL = "duplicate_removal"
STATS_EXTRACTION = "stats_extraction"
FILE_SHUFFLING = "file_shuffling"
REACTION_VALIDATION = "reaction_validation"
REAGENT_VALIDATION = "re... | Python | CL | d9ef4ab6138fe9218012680c1cc647b09c7fbc514ab92c021d7a21ed5faf6729 |
import tensorflow as tf
import numpy as np
import pandas as pd
import csv
import re
# Load data and prepare the input layers.
with open('test.csv', 'r', encoding='utf-8', newline='') as f:
reader = csv.reader(f)
test_sentence = []
test_label = []
for row in reader:
test_sentence.a... | Python | CL | 1882c676ed8ee20c5e47a09cf96e3917427058a4b066b574cc56546da7a557dc |
import csv
from contextlib import contextmanager
from pathlib import Path
from time import time
from typing import Iterator
from neat.reporting import BaseReporter
from neat_improved.neat.evaluator import GymEvaluator
_SPECIES = 'species'
_POPULATION = 'population'
_FIELDS = {
_SPECIES: (
'iteration',
... | Python | CL | ae5f914a1e600b276449cefcc99937dcbc9b3337740d6a244bd6ad5bed2ce476 |
import pandas as pd
import numpy as np
import time
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.decomposition import PCA
from sklearn.mixture import GaussianMixture
from sklearn import metrics
from sklearn import preprocessing
from sklearn.cluster import KMeans
from ... | Python | CL | 0a71b37ec7d0a65b21cebb61aceecebb2b5f16e493be04647bc06e145539235a |
# Copyright Contributors to the OpenCue Project
#
# 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... | Python | CL | 4b415d16c7f9da4ec90da3ae16d0afe5b6cc4dae60e03f1c1743e577db3fe32d |
from core.views import BaseMedFileViewSet
from .models import Medicine
from .serializers import MedicineSerializer
class MedicineViewSet(BaseMedFileViewSet):
"""
CRUD options for medicine only for authenticated user.
"""
serializer_class = MedicineSerializer
queryset = Medicine.objects.all()
| Python | CL | ab4465cf46799ed2cbfef4538258b2189fce3b448814e515bb59ce4554a01681 |
import collections
# Import Python wrapper for or-tools CP-SAT solver.
from ortools.sat.python import cp_model
def JobScheduling(plats_data):
"""Minimal platoon problem."""
# Create the model.
model = cp_model.CpModel()
nodes_count = 1 + max(task[0] for plat in plats_data for task in plat)
all_n... | Python | CL | c3a207a21a9a13ad4863c99ff9ead2ef7afa301bfede5388e9cd28c312bd44c7 |
from __future__ import print_function
import logging
from argparse import ArgumentParser
import backoff
import requests
import sys
POLL_URL = 'https://coveralls.io/builds/{}.json'
DONE_URL = 'https://coveralls.io/webhook'
def setup_logging():
logger = logging.getLogger('backoff')
logger.addHandler(logging.... | Python | CL | 44e43787d9868f6d90a38bcb7beff35e1911f4c78b47dc7c1f4eae8b217e63a0 |
"""
This is a Python 3 port of FORTRAN code from the EXPOKIT package.
gexpmv is a port of the _GEXPV routines.
See R.B. Sidje, ACM Trans. Math. Softw., 24(1):130-156, 1998
and http://www.maths.uq.edu.au/expokit
@author: Ashley Milsted
"""
from __future__ import absolute_import, division, print_function
import scipy ... | Python | CL | 984bba16d85b4d0b6b7d0de5959fd6829765095e378a779ec411c1e60059d56a |
#!/usr/bin/env python3
import mfutil
import os
import paho.mqtt.client as mqtt
import xattrfile
import signal
from acquisition.listener import AcquisitionListener
class ExtraDaemonMqttListener(AcquisitionListener):
client = None
plugin_name = "mqtt_listener"
daemon_name = "extra_daemon_mqtt_listener"
... | Python | CL | 4a943d898b130c7cda382ff89c9858c7e034f73f685c9f4d5d4ce2baffbd03ec |
'''
Hartree-Fock for periodic systems with k-point sampling
See Also:
hf.py : Hartree-Fock for periodic systems at a single k-point
'''
import time
import numpy as np
import scipy.special
import pyscf.dft
import pyscf.pbc.dft
import pyscf.pbc.scf.hf as pbchf
from pyscf.lib import logger
from pyscf.pbc import tool... | Python | CL | b6694c456692d24c557c16159839b2e84649d0c6e2cd98f291c128eb3e74d5f3 |
class ResXWriter:
def __init__(self, filename):
self.fileName = filename
self.file = open(filename, 'w', encoding='utf-8')
self.data = {}
def add_resource(self, name, value):
self.data[name] = value
def flush(self):
self.file.truncate(0);
self.file.seek(0);
... | Python | CL | ebc768ae37a488f07b55a30536e72ad585f7bcedcad2542f3133f8d833a2adc9 |
import mge_fit_1d as mge
import numpy as np
import jam_axi_rms as Jrms
import matplotlib.pyplot as plt
import os, sys, time
import matplotlib.gridspec as gridspec
from matplotlib.colors import LogNorm
from scipy.misc import imread
import matplotlib.cbook as cbook
from galaxyParametersDictionary_v9 import *
from Sabine... | Python | CL | c56b4153b43441db9d2ee6d8952b4e46bf92b891358ed15d1b0fe59571ad2625 |
import numpy as np
import matplotlib.pyplot as plt
def initialize_centroids(X, K):
"""
Randomly initialize K cluster centroids from the data
arguments:
X -- our data that we want to cluster
K -- number of clusters
return:
centroids -- initialized centroids
"""
idx = np.ran... | Python | CL | ee7a61a4c0937c7d53a4fbe194f866b8661ced655f030abefd679e54072532dc |
import tensorflow as tf
from tensorflow.python.keras.applications.vgg16 import preprocess_input as pre_process_VGG
from tensorflow.python.keras.applications.resnet50 import preprocess_input as pre_process_ResNet
from tensorflow.python.keras.applications.inception_v3 import preprocess_input as pre_process_Inception
from... | Python | CL | 554fc8707cda1e9fec1a5541d0af8beab1f3fed2a6ebd01a51b0cd31c5370fce |
from __future__ import print_function
from __future__ import print_function
import os
import sys
import numpy as np
from keras.preprocessing.text import text_to_word_sequence
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.utils import to_categorical
fr... | Python | CL | 66866b6ac9ca85916daf530091d5cc13d1b4db8a0057ce71e0294240bc398509 |
"""
Sparse Blocks Network
Copyright (c) 2017, Uber Technologies, Inc.
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 re... | Python | CL | 1813b081419466e18d852c48cbd750e80671e17c2c81cbbeff33ea83a053ebbc |
#---------------------------------------------
# Import necessary packages
#---------------------------------------------
import numpy as np
import pandas as pd
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import time
from sklearn.model_selection import train_test_split
from sklearn.neighbor... | Python | CL | 2c9d270e71fbad82f5036bc0c14cc9d40c5879d7bba5d59c1dfe6414241bf6a6 |
import FWCore.ParameterSet.Config as cms
from RecoMuon.TrackingTools.MuonServiceProxy_cff import *
from RecoMuon.TrackingTools.MuonTrackLoader_cff import *
from TrackingTools.GeomPropagators.StraightLinePropagator_cfi import *
MuonServiceProxy.ServiceParameters.Propagators.append('StraightLinePropagator')
cosmicMuon... | Python | CL | 01bc5db1c1d71ac7a9b03fca873eed03db7ee7bce58d8e7ae5fa9872e2f00acc |
import mxnet as mx
import numpy as np
from collections import namedtuple
GRUState=namedtuple('GRUState', ['h'])
GRUParam=namedtuple('GRUParam', ['gates_i2h_weight','gates_i2h_bias', 'gates_h2h_weight', 'gates_h2h_bias','trans_i2h_weight','trans_i2h_bias', 'trans_h2h_weight', 'trans_h2h_bias'])
def myGRU(num_hidden, ... | Python | CL | 5777f23e0fa115436d7954696e3568231389f86ba5ae5b267c1634f46053bd98 |
# -*- coding: utf-8 -*-
'''
Weather functions to be used with the NWS radar and weather information
download script.
Jesse Hamner, 2019-2020
'''
from __future__ import print_function
import os
import re
import datetime
import json
import logging
from time import sleep
from outage import Outage
import requests
impor... | Python | CL | 63118ccc1dc1a82d3ffd23dbbd6ff56c7f26942f90489ed6708d9c4d63df9fae |
import FWCore.ParameterSet.Config as cms
process = cms.Process("PROD")
process.maxEvents = cms.untracked.PSet(
input = cms.untracked.int32(10)
)
#generation
process.source = cms.Source("EmptySource")
process.load("Configuration.Generator.QCDForPF_cfi")
process.generator.comEnergy = 14000.
#fastsim
process.loa... | Python | CL | 5ee42374e180513f9e25518bac782d6cc15ea72c113c5ade1f3a1be41fe8cc56 |
# -*- coding: UTF-8 -*-
# -----------------------------------------------------------------------------
# xierpa server
# Copyright (c) 2014+ buro@petr.com, www.petr.com, www.xierpa.com
#
# X I E R P A 3
# Distribution by the MIT License.
#
# -----------------------------------------------------------... | Python | CL | 50984ad7ffd8aae0cf7203c21222f1854a7d34bf8058aa56cb7fc472a29e5197 |
import csv
from preprocessing.preprocess import PreprocessBase
"""
Marco Link
"""
class SimpleSynonyms(PreprocessBase):
"""
Class for replacing words with its specified synonyms.
The synonyms has to be defined in a file.
An entry in the file specifies the word which should be replaced followed by the... | Python | CL | 8961035c7929ee325cdf17242029cfdbdc919862a7d64d10c6086a8b91409eb3 |
#!/usr/bin/env python
# ClusterShell.CLI.Display test suite
# Written by S. Thiell
"""Unit test for CLI.Display"""
import os
import sys
import tempfile
import unittest
from StringIO import StringIO
sys.path.insert(0, '../lib')
from ClusterShell.CLI.Display import Display, WHENCOLOR_CHOICES, VERB_STD
from ClusterSh... | Python | CL | 59861f7230f0f86056de4cc36c83affa2645ee0bda93b31807475beb3413ac51 |
import boto3
from botocore.client import ClientEndpointBridge
import botocore.exceptions
def lambda_handler(event, context):
"""Lambda function to identify unencrypted s3 buckets associated with the AWS
account in use and send an email notification via an SNS resource.
Returns:
response(dict): SN... | Python | CL | 2c9292c3832a659e2be7058c7e6019571dabed96bfb149e403ce746edbee1791 |
class Building():
"""A simple Building Energy Model.
Consisting of one thermal capacity and one resistance, this model is derived from the
hourly dynamic model of the ISO 13790. It models heating and cooling energy demand only.
Parameters:
* heat_mass_capacity: capacity of the building's heat mass [J/... | Python | CL | e2bc0d201562b3dd3ab9e50218ccef5e9a9ac6337dc462536bb00669b36417e6 |
# -*- coding: utf-8 -*-
from setuptools import find_namespace_packages, setup
setup(
name="emmet-core",
use_scm_version={"root": "..", "relative_to": __file__},
setup_requires=["setuptools_scm>=6,<8"],
description="Core Emmet Library",
author="The Materials Project",
author_email="feedback@mat... | Python | CL | 5191e814a417284652cf1d5b98090722f48d5aab12875861389f69f2e402c8a9 |
# -*- coding: utf-8 -*-
"""
SR510
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Implements the drivers to control a lock-in amplifier
:copyright: 2013 by Lantz Authors, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
Source: SR510 Manual
"""
from lantz import Feat
from lantz.visa i... | Python | CL | 853c950039d4bb933766f6ce0a20e697e744ce9884857adb47706120c6a4dfd8 |
from unittest import TestCase
from model import connect_to_db, db, User, Answer, Question
from server import app
from flask import session
class FlaskTestsBasic(TestCase):
"""Tests all routes render, except login/logout."""
def setUp(self):
"""Stuff to do before every test."""
# Get the Flas... | Python | CL | e39e313e51e12a74cdf3600a3790ac2153b9262a7df27e1837f0aa1b26fbb011 |
# -*- coding: utf-8 -*-
import sys
import redis
import BaseThreadedModule
import Utils
import Decorators
@Decorators.ModuleDocstringParser
class RedisList(BaseThreadedModule.BaseThreadedModule):
"""
Subscribes to a redis channels/lists and passes incoming events to receivers.
lists: Name of redis lists t... | Python | CL | cad06f27db6d0f79d0e0d5dfe5f10582892783a4bfd550b2b6e3494b536a64d2 |
import os
import re
import subprocess
from libqtile import bar, hook, layout, widget
from libqtile.config import Click, Drag, Group, Key, Match, Screen
from libqtile.lazy import lazy
from widgets.volume import Volume, VolumeCommands
mod = "mod4"
keys = [
# The basics
Key([mod],
"Return",
laz... | Python | CL | 7d6de91a3816917c88f26796cff3a39fb623ffefb3cdd2147d150af62afcd220 |
from persimmon import primitive, single, multi, utils
from persimmon.factory import ParserFactory
class StandardParserFactory(ParserFactory):
def make_rewind_iterator(self, data):
return utils.RewindIterator.make_rewind_iterator(data)
def make_success_parser(self, value):
return primitive.Suc... | Python | CL | bf0035fa63eb568377d982fc8fbf34497789fccdfcc469db2acbd65ed359ae3d |
#!/usr/bin/env python
#
# All modification made by Intel Corporation: Copyright (c) 2018 Intel Corporation
#
# All contributions by the University of California:
# Copyright (c) 2014, 2015, The Regents of the University of California (Regents)
# All rights reserved.
#
# All other contributions:
# Copyright (c) 2014,... | Python | CL | d090e0719ac60a6f0f6660726be18482658548a2b7540e4963d77e867b805865 |
"""Contains most of the functions for the CLI. Put here for testing purposes."""
import click
from PyInquirer import prompt
import PyInquirer
import jsonschema
from ddl.assetpack import AssetpackFactory
from ddl.validator import Validator
from ddl.renderer import Renderer
import ddl.asset_exploration
from ddl.asset_ex... | Python | CL | 720cc7b0c7054981a43668ae7f0a9c0925862fbfe2eca45137f26777ec69222f |
# 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... | Python | CL | 708d6563232197f3d1a3a751f6230518dfd7b1b3561038453b40e7165387ebe7 |
"""Testing the functions inside the initialisation file of the ``main``
package.
To run this particular test file use the following command line:
nose2 -v app.tests.main.tests_init
"""
from app import create_app
import unittest
from unittest import TestCase
from config import Config, basedir
import os
from app.main i... | Python | CL | f3a95006d72ae9d822f0769250fa97e9b82c1b9fc41623adce702fc0e072aa37 |
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
# Rewrite pf-upper and pf-lower as their differences from pf
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
import os, glob
import xarray as xr
import argparse
def run(fn):
ds = xr.open_dataset(fn)
... | Python | CL | 3e2f9c6238abe2be2f8b8efade0d406b01bbde2a7e4c5ed37b37296a675bcbab |
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