text stringlengths 957 885k |
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from pathlib import Path
from skimage import io
import tensorflow as tf
from datetime import datetime
from tqdm import tqdm
from dataset.datasetbase import DatasetBase
from models.base import Model
import numpy as np
import logging
def get_num_of_parameters():
total_parameters = 0
for variable in tf.traina... |
<gh_stars>10-100
# -*- coding: utf-8 -*-
"""
Tests for pmutt.io.thermdat module
Created on Fri Jul 7 12:31:00 2018
"""
import unittest
import pmutt.io.thermdat as thermdat
import numpy as np
class TestThermdat(unittest.TestCase):
def test__get_fields(self):
lines = [
' test 200 ## %^& test1... |
<reponame>nfahlgren/hsi_toolkit_py
#function [SpecDist] = PlotSpectraDistribution(Spectra, WaveLengths,SampStuff, FigNum);
###
######################################################################
### A FUNCTION THAT CREATES & DISPLAYS SPECTRA AS A 2D HISTOGRAM ###
### SPECTRA ARE ASSUMED REFLECTANCES OR EMIS... |
import typing
import struct
from .basic import Message
_IE_HEADER_STRUCT = struct.Struct(">BH")
""" Структура заголовка IEI"""
_MESSAGE_HEADER_STRUCT = struct.Struct(">BH")
""" Структура заголовка сообщения """
_PROTOCOL_VERSION = 1
""" Идентификатор протокола иридиума """
class MessageParser:
""" Парсилка соо... |
import os
import sys
import random
import pinyin
import jieba
from xpinyin import Pinyin
import re
sys.path.insert(0, "../")
lj_speech = [
("data/css10", "metadata.txt")
]
comvoi = [
("data/comvoi_clean", "all.txt")
]
css10 = [
("data/css10", "train.txt"),
("data/css10", "val.txt... |
import time
import io
from datetime import datetime
import pavilion.series_util
from pavilion import arguments
from pavilion import commands
from pavilion import plugins
from pavilion import series
from pavilion.unittest import PavTestCase
class SeriesFileTests(PavTestCase):
def setUp(self):
plugins.ini... |
<filename>app/api/random_positions.py
import random
def get_block_square_positions(currentlyoccupiedpositions):
positions = []
square_orientation_dic = [
"UpperLeft",
"UpperRight",
"LowerLeft",
"LowerRight"
]
block_square_not_positioned = True
list_of_block_square... |
<reponame>delfick/bespin
from bespin.errors import StackDoesntExist, BadStack, Throttled
from bespin.amazon.mixin import AmazonMixin
from bespin import helpers as hp
import botocore
import boto3
import datetime
import logging
import pytz
import time
import six
import os
log = logging.getLogger("bespin.amazon.cloudfor... |
<reponame>Luapulu/How-To-Document-Data-Science-Projects
def experiment_03():
"""
**Model and Set-up**
An educational and detailed tutorial addressing the training of a machine
learning model to solve the MNIST classification Model can be found
`here`_. For the simple one-layer neural network, we ac... |
################################################################################################
# # #
# This code is FREE to use and change at any moment, this code has no CopyRights and #
# anything like that, the only thing that i ask you is to report any erros on my github #
# ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
import numpy as np
import cvxpy as cp
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.covariance import GraphicalLasso, GraphicalLassoCV
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
f... |
import clodius.array as ct
import math
import numpy as np
def get_tileset_info(hdf_file):
"""
Get information about the tileset.
:param hdf_file: A file handle for an HDF5 file (h5py.File('...'))
"""
d = hdf_file["meta"]
if "min-pos" in d.attrs:
min_pos = d.attrs["min-pos"]
else:... |
import smart_imports
smart_imports.all()
class PostponedChangeCredentialsTaskTests(utils_testcase.TestCase):
def setUp(self):
super(PostponedChangeCredentialsTaskTests, self).setUp()
game_logic.create_test_map()
self.account = self.accounts_factory.create_account()
self.task =... |
<reponame>TugberkArkose/MLScheduler
power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power ... |
<filename>PythonScraper/RedditScraper.py
import praw
import csv
import re
import json
import requests
from textblob import TextBlob
import nltk
# Download VADER, if not downloaded
# nltk.download('vader_lexicon')
from nltk.sentiment.vader import SentimentIntensityAnalyzer
sia = SentimentIntensityAnalyzer()
client_i... |
'''
<NAME>
03-13-2020
Tenable
WebRootPoC LPE/MemoryLeak
'''
import socket
import json
import sys, getopt
import struct
import shutil
import os
import time
HOST = '10.0.2.5' # Webroot Service IP
PORT = 27019 # Webroot Service Port
class UnencodableByte(Exception):
pass
'''
Represents address and data found at... |
# Copyright (c) 2021 <NAME>.
# Distributed under the terms of the MIT License.
# SPDX-License-Identifier: MIT
"""
Test the functions that extract content from configuration files.
The fixtures (arguments to the test functions) are defined in conftest.py
"""
import pytest
from ..parsers import (
get_pyproject_toml... |
<filename>fiat/stages.py
"""
base:
<NAME> <<EMAIL>>
Copyright 2020-2021, <NAME>
License: Apache-2.0 (https://www.apache.org/licenses/LICENSE-2.0)
Contents:
"""
from __future__ import annotations
import collections.abc
import copy
import dataclasses
import itertools
from types import ModuleType
from typing import (Any... |
<reponame>mdx-dev/client-py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Generated from FHIR 4.0.0-a53ec6ee1b (http://hl7.org/fhir/StructureDefinition/ImagingStudy) on 2019-01-22.
# 2019, SMART Health IT.
from . import domainresource
class ImagingStudy(domainresource.DomainResource):
"""
A
s
... |
<filename>core/portscan.py
#-------------------------------------------------------------------------------
# Name: RPTR Portscan
# Purpose: Portscanning
#
# Author: <NAME>
#
# Created: 03-10-2016
# Copyright: <NAME> (c)
# Version: 1.0
#---------------------------------------------------------... |
<reponame>nathancarter/geo-py
import unittest
import time
import logging
import math
import geo.sphere as sphere
import geo._sphere as _sphere
import geo.ellipsoid as ellipsoid
import geo._ellipsoid as _ellipsoid
import geo._sphere as csphere
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger()
p_mi... |
<reponame>sns-sdks/python-workweixin
"""
消息加密与解密
"""
import base64
import logging
import random
import socket
import struct
from Crypto.Cipher import AES
from pywework.error import ErrorCode
from .padding import PKCS7Padding
logger = logging.getLogger(__name__)
class MsgCrypto:
"""
数据消息的加密与解密
"""
... |
<reponame>yapanliu/ashrae-ob-database
'''
This code will clean the OB datasets and combine all the cleaned data into one
Dataset name: O-62-Zoltan Nagy _ June Young Park
1. occupancy data
2. light switch data
3. indoor illuminance data
4. four different rooms in an academic office bulding
5. different time ranges
Dat... |
from typing import Any, Dict, List, Optional, Text, Union
from rasa_sdk import Tracker
from rasa_sdk.events import EventType, SlotSet
from rasa_sdk.executor import CollectingDispatcher
from rasa_sdk.forms import REQUESTED_SLOT, FormAction
from covidflow.constants import (
FEEL_WORSE_SLOT,
HAS_COUGH_SLOT,
... |
<reponame>bckohan/django-static-templates<filename>render_static/engine.py
# pylint: disable=C0114
import os
from collections import Counter, namedtuple
from pathlib import Path
from typing import Callable, Dict, Generator, List, Optional, Union
from django.conf import settings
from django.core.exceptions import Impr... |
try:
import unzip_requirements
except ImportError:
pass
import asyncio
from asyncio.subprocess import PIPE
from asyncio import create_subprocess_exec
import json, os, sys, subprocess
from time import monotonic
from functools import wraps
from tempfile import mkdtemp
from azure.storage.blob import BlobServiceCli... |
<reponame>18970738669/opencv_demo
import cv2
import os
import json
import numpy as np
from numpy.linalg import norm
SZ = 20
def deskew(img):
m = cv2.moments(img)
if abs(m['mu02']) < 1e-2:
return img.copy()
skew = m['mu11'] / m['mu02']
M = np.float32([[1, skew, -0.5 * SZ * skew], [0, 1, 0]])
... |
import torch
import torch.nn as nn
import numpy as np
# NYU14_name_list = ['Unknown', 'Bed', 'Books', 'Ceiling', 'Chair',
# 'Floor', 'Furniture', 'Objects', 'Picture',
# 'Sofa', 'Table', 'TV', 'Wall', 'Window'
# ]
# Label11_name_list = ["None", "Ceiling", "Floor",... |
<filename>py4syn/epics/LakeShore331Class.py
"""LakeShore 331 Class
Python Class for EPICS LakeShore 331
:platform: Unix
:synopsis: Python Class for EPICS LakeShore 331
.. moduleauthor:: <NAME> <<EMAIL>>
.. note:: 06/07/2015 [douglas.beniz] first version released
"""
from epics import Device
from enum import En... |
from __future__ import absolute_import
from __future__ import print_function
import numpy as np
import random
import os
from cv2 import imread
from keras.layers import Input,Conv2D,MaxPooling2D,Flatten,Dense,Dropout,Lambda,LSTM,BatchNormalization,LeakyReLU,PReLU
from keras import Sequential
from keras.datasets import ... |
import sass
import markdown
import shutil
import jinja2
from pathlib import Path
import logging
import dateutil.parser as dt_parser
from urllib.parse import urljoin
# pip install mdx_truly_sane_lists
# required pip install markdown-captions, pip install markdown-checklist
# pip install pymdown-extensions
def verify_te... |
<filename>obsolete/map_momentum.py
import clusters_retriever as extract
from visualisation import map_plot_parameters as plotpar
import cluster_profiler as profile
from obsolete import map_synthetizer as mapgen
import numpy as np
from matplotlib import pyplot as plt
from mpl_toolkits.axes_grid1.axes_divider import mak... |
<gh_stars>0
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import tkinter as tk
from tkinter.filedialog import askopenfilename, askdirectory
from PIL import ImageTk, Image
from shutil import copyfile
from distutils.dir_util import copy_tree
from scipy.optimize import curve_fit
from random import uniform
from scipy imp... |
import logging
from pathlib import Path
from datetime import datetime, timedelta
from trough import config
from trough import _download, _tec, _arb, _omni, _trough
logger = logging.getLogger(__name__)
def download_tec(start_date, end_date):
user_data = [config.madrigal_user_name, config.madrigal_user_email, co... |
<reponame>khang06/winnie<filename>forklib/gen_csrss_offsets.py
# This tool generates csrss_offsets.py by downloading and
# parsing symbols from the Microsoft symbol server.
# Requirements: construct, pefile
# Run with python2, NOT PYTHON3!
import sys, os
if not (sys.maxsize > 2**32) and os.name == 'nt':
print('So... |
import pickle
from optparse import OptionParser
import networkx as nx
import matplotlib.pyplot as plt
import numpy as np
from numpy.core.fromnumeric import mean
import pandas as pd
import torch
import torch.optim as optim
import torch.nn as nn
from sklearn.preprocessing import StandardScaler
from symp_extract.consts i... |
import sys
from random import shuffle
from heapq import heappush, heappop, heapify
cin = sys.stdin
cout = sys.stdout
def find_schedule(graph, p, ls):
schedule = [[] for i in range(p)]
child = succ
parent = pred
# n = len(time)
done = [False]*n
end_time = [-1]*n
donect=0
heap = [(0,i) for i in range(p)]
heap... |
from collections import defaultdict
from functools import reduce
from typing import Any, Dict, List
from ....services.datastore.commands import GetManyRequest
from ....shared.exceptions import ActionException
from ....shared.filters import FilterOperator
from ....shared.patterns import Collection, FullQualifiedId
from... |
import django.db.models
from goflow.workflow.models import *
DEBUG = True
def log(section, variable):
if DEBUG:
print('adding [%s] %s' % (section, variable))
else:
pass
# ------------------------------------------------------------------------------------
# a class based Process Bui... |
<gh_stars>0
## @file vmotion.py
## @brief VMotion operations
##
## Detailed description (for Doxygen goes here)
"""
VMotion operations
Detailed description (for [e]pydoc goes here)
"""
import os
from pyVmomi import Vim
from pyVmomi import Vmodl
from pyVmomi import vmodl
from pyVim.task import WaitForTask
from pyVim.h... |
<filename>studies/MultiBoomSparMass_v2/sweep.py
"""
This script generates data used to estimate spar mass as a function of lift force (i.e. total weight) and span.
"""
### Imports
from aerosandbox.structures.beams import *
import copy
### Set up sweep variables
# n_booms = 1
# n_booms = 2
# load_location_fraction = ... |
<reponame>harshal-choudhari/books-python-wrappers
#$Id$#
from books.util.ZohoHttpClient import ZohoHttpClient
from books.parser.ExpensesParser import ExpensesParser
from os.path import basename
from books.api.Api import Api
from json import dumps
base_url = Api().base_url + 'expenses/'
parser = ExpensesParser()
zoho_... |
<reponame>javadch2021/pyfeats
# -*- coding: utf-8 -*-
"""
==============================================================================
@author: <NAME>
@author: <NAME>,
@author: <NAME>
@author: <NAME>
@reference: Murray, An AM-FM model for Motion Estimation in Atherosclerotic Plaque Videos
Murray, ... |
<reponame>tech-sketch/SeqAL
import math
import random
from collections import defaultdict
from typing import Dict, List, Optional, Tuple
import numpy as np
import torch
from flair.data import Sentence
from sklearn.base import BaseEstimator
from sklearn.cluster import KMeans
from sklearn.preprocessing import MinMaxScal... |
"""
This module provides functions for upgrading scripts from pymel 0.9 to 1.0. It
fixes two types non-compatible code:
- pymel.all is now the main entry-point for loading all pymel modules
- import pymel --> import pymel.all as pymel
- import pymel as pm --> import pymel.all as pm
... |
<reponame>yigitcanustek/blm2010
#Yeşim Şekerciler-140401067
import math
def gauss(r):
lenrow = len(r)
lencol = len(r[0])
m = lenrow-1
k = 0
z = 0
for j in range(lenrow):
m = lenrow-1
k = j
z = j
for i1 in range(lenrow-1):
if (r[j][k]==0):
continue
coe... |
<gh_stars>1-10
""" Module containing functions for clustering and cluster indices generation from samples of data """
import logging
import numpy as np
import tqdm
from .utils import read_bag_file, extract_bag_index
from .internal_indices import InternalIndices, INTERNAL_INDICES_METHOD_NAMES_DICT
from .external_indic... |
"""
Product API Service Test Suite
Test cases can be run with the following:
nosetests -v --with-spec --spec-color
coverage report -m
"""
import os
import logging
from unittest import TestCase
from unittest.mock import patch
from flask_api import status # HTTP Status Codes
from service.models import db
from servi... |
<reponame>LPirch/tagvet
import re
import argparse
import pickle
import xml.etree.ElementTree as ET
from collections import Counter
from tqdm import tqdm
import joblib
from features import get_ref_hashes, _filter_xml_iter, get_tokens
from build_vocab import load_yaml
RE_DELIM = re.compile(r'(\W+)')
PAD_DIM = 1
PLACE... |
from datetime import (
datetime,
timedelta,
)
from core import constants
from core.issues import issue_utils
from core.searchtools import (
FileSearcher,
SearchDef,
)
from core.log import log
from core.ycheck import (
YDefsLoader,
YDefsSection,
AutoChecksBase,
YAMLDefInput,
YAMLDefE... |
from .server_base import ServerBase
import copy
import torch.optim as optim
import torch.nn.functional as F
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from ..models.models import create_model
from ..datasets.dataset_student import StudentData
import numpy as np
import sys
class FedEdSer... |
import argparse
def parse_args():
parser = argparse.ArgumentParser(description='test recommender')
# common settings
# python main.py --algo_name mf --dataset ml-100k --epochs 10 --gce
parser.add_argument('--seed', type=int, default=1234, help='tuning epochs')
parser.add_argument('--printall', ac... |
import unittest
import torch
import os
import heat as ht
from .test_suites.basic_test import TestCase
class TestOperations(TestCase):
def test___binary_bit_op_broadcast(self):
# broadcast without split
left_tensor = ht.ones((4, 1), dtype=ht.int32)
right_tensor = ht.ones((1, 2), dtype=ht.... |
<filename>day_ok/schedule/views/teachers.py
from typing import Dict, Any
from django.shortcuts import render, redirect, Http404
from django.http import HttpRequest
from django.forms.models import model_to_dict
from ..middleware import authenticated
from ..forms.teachers import (
TeacherLessonsColorForm,
Teacher... |
<filename>anime_downloader/extractors/kwik_token_extractor.py
from js2py.pyjs import *
# setting scope
var = Scope(JS_BUILTINS)
set_global_object(var)
# Code follows:
var.registers(['extract_data', '_0xe12c'])
@Js
def PyJsHoisted__0xe12c_(d, e, f, this, arguments, var=var):
var = Scope({'d': d, 'e': e, 'f': f, ... |
<reponame>raydan4/grr
# Lint as: python3
# -*- encoding: utf-8 -*-
"""Tests for JSON instant output plugin."""
import os
import zipfile
from absl import app
import json
from grr_response_core.lib.rdfvalues import client as rdf_client
from grr_response_core.lib.rdfvalues import client_fs as rdf_client_fs
from grr_res... |
<reponame>Phill240/chrome-remote-interface-py
"""This is an auto-generated file. Modify at your own risk"""
from typing import Awaitable, Any, Callable, Dict, List, Optional, Union, TYPE_CHECKING
if TYPE_CHECKING:
from cripy import ConnectionType, SessionType
__all__ = ["Fetch"]
class Fetch:
"""
A domai... |
from __future__ import unicode_literals
import re
from .common import InfoExtractor
from ..compat import (
compat_urllib_parse,
compat_urlparse,
)
from ..utils import (
parse_duration,
unified_strdate,
)
class RaiIE(InfoExtractor):
_VALID_URL = r'(?P<url>(?P<host>http://(?:.+?\.)?(?:rai\.it|rai\... |
<reponame>Emilie-Thome/Multi-Agent-RL
import numpy as np
import random
import sys
from rllab.misc import logger
from rllab.misc.overrides import overrides
from rllab.algos.batch_polopt import BatchPolopt
from rllab.algos.agent import Agent
from rllab.optimizers.first_order_optimizer import FirstOrderOptimizer
from rlla... |
<reponame>danderwald/s4u2p
'''
Created on 22.05.2012
@author: norman
'''
from requests.auth import AuthBase
from requests.compat import urlparse
from requests import get as reqget
from requests import session
import kerberos as k
import s4u2p
import re
import logging
def getLogger():
log = logging.getLogger("http... |
#
# Copyright 2015 LinkedIn Corp. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... |
<gh_stars>0
# This script uses an AR1 autoregressive model to forecast aggregated subsector level emissions of GHG in the US
# Importing required modules
import numpy as np
import pandas as pd
import statsmodels.api as stats
import matplotlib.pyplot as plt
from scipy.stats import norm
# Declaring filepaths... |
from table import Table
from data import Data
import pygame
class Algorithm:
def __init__(self, algo, win=None):
self.algo = algo
self.win = win
def run(self, table):
if self.algo == "Insertion Sort":
return self.insertion_sort(table)
if self.algo == "Quick Sort":
... |
# Copyright 2015-2106 F5 Networks 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 required by applicable law or agreed to in ... |
<gh_stars>1-10
import argparse
import sys
import os
import subprocess
import numpy as np
import pandas as pd
import torch
from fastgc.dataset.img_data import load_dataset
from fastgc.dataset.text_data import load_imdb
from fastgc.activation import act_func_list
def check_gpu_memory():
"""
Computes the size of... |
<gh_stars>1-10
import sys, weakref
from rpython.rtyper.lltypesystem import lltype, llmemory, rstr, rffi
from rpython.rtyper.ootypesystem import ootype
from rpython.rtyper.annlowlevel import hlstr, cast_base_ptr_to_instance
from rpython.rtyper.annlowlevel import cast_object_to_ptr
from rpython.rlib.objectmodel import sp... |
#/usr/bin/env python
# Setup Jet-H analysis
# Derived from the setup.py in aliBuild and Overwatch
# and based on: https://python-packaging.readthedocs.io/en/latest/index.html
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
im... |
import collectd
import os
LOG_FILE_PATH = '/var/log/containers/stdouts/collectd_pacemaker.out'
PIPE_FILE_PATH = '/collectd_pipe'
INTERVAL = 15
def config_func(config):
log_file_path_set = False
for node in config.children:
key = node.key.lower()
if key == 'interval':
global INTER... |
<gh_stars>0
#! coding:utf-8
"""
compiler tests.
These tests are among the very first that were written when SQLAlchemy
began in 2005. As a result the testing style here is very dense;
it's an ongoing job to break these into much smaller tests with correct pep8
styling and coherent test organization.
"""
import dec... |
# Copyright (c) 2003-2016 LOGILAB S.A. (Paris, FRANCE).
# http://www.logilab.fr/ -- mailto:<EMAIL>
# Licensed under the GPL: https://www.gnu.org/licenses/old-licenses/gpl-2.0.html
# For details: https://github.com/PyCQA/pylint/blob/master/COPYING
"""Unittest for the type checker."""
import unittest
from astroid impor... |
<filename>tests/integration_tests/tests/agentless_tests/test_depends_on_lifecycle_operation.py
########
# Copyright (c) 2019 Cloudify Platform Ltd. 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 ... |
<reponame>oshadajay/CeyMo<gh_stars>10-100
'''
Evaluation script for the CeyMo Road Marking Dataset
gt_dir should contain the ground truth json files and pred_dir should contain prediction json files respectively.
The file system should follow the following order.
home_directory/
|___ gt_dir/
| |___001.json
| ... |
<filename>robot2cam_calibration/track_grid.py
"""A function to track a grid and display its origin on the screen
"""
# The MIT License (MIT)
#
# Copyright (c) 2016 GTRC.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software... |
from emd_with_classes.utils import Iterator
from matplotlib import pyplot as plt
import cv2
import numpy as np
from matplotlib.patches import Polygon
from .dataset import Dataset
class Visualizer:
def __init__(self, dataset_coco: Dataset):
self.dataset = dataset_coco
def visualize_annotations(s... |
<reponame>jvegreg/ESMValCore
from esmvalcore._data_finder import select_files
def test_select_files():
files = [
"pr_Amon_MPI-ESM1-2-HR_historical_r1i1p1f1_gn_195501-195912.nc",
"pr_Amon_MPI-ESM1-2-HR_historical_r1i1p1f1_gn_196001-196412.nc",
"pr_Amon_MPI-ESM1-2-HR_historical_r1i1p1f1_gn_... |
<filename>test.py
import unittest
import geom
from geom import P, L, B, Pg, Co, ML, MPg
class TestPoint(unittest.TestCase):
def test_point_eq(self):
self.assertEqual(P((1, 1)), P((1.0, 1.0)))
self.assertNotEqual(P((1, 1)), P((1.0001, 1.0)))
class TestLine(unittest.TestCase):
def assertPoint... |
import asyncio
import datetime as dt
import json
import os
import logging
import pydest
import aiohttp
logger = logging.getLogger("d2util")
def str_to_datetime(date_time: str):
return dt.datetime.fromisoformat(date_time)
def get_bungie_name(group_member: dict) -> str:
if group_member["destinyUserInfo"]["... |
<filename>script/path_check.py
#!/usr/bin/python3
#######################################################################
################### Check the AIX system disk path! ###################
#######################################################################
import os
class PathCheck():
# Check the disable p... |
# Copyright (c) 2020, <NAME>, Honda Research Institute Europe GmbH, and
# Technical University of Darmstadt.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code mus... |
<filename>Crime_Chicago_Prediction_Final.py
#!/usr/bin/env python
# coding: utf-8
# In[2]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.metrics import mean_squared_error, r2_score
from sklearn.linear_model import LinearRegression
from sklearn.model_selecti... |
import torch
import util.image_visualization
__author__ = "<NAME>"
__copyright__ = "Copyright 2019, <NAME>"
__credits__ = ["<NAME>"]
__license__ = "Apache License 2.0"
class TensorUtils:
@staticmethod
def tensors_are_equal(tensor_one, tensor_two):
# https://stackoverflow.com/questions/32996281/how-to... |
<reponame>kota7/wordleai-sql<gh_stars>0
# -*- coding: utf-8 -*-
"""
SQLite backend.
Tables are named by the following convention:
{vocabname}_words : contains all words
{vocabname}_judges : contains judge results for all word pairs
"""
import os
import sys
import sqlite3
import math
import random
from contextlib... |
import asyncio
from collections import Counter
import time
import pytest
from falcon import runs_sync
from falcon import testing
from falcon.asgi import App
def test_multiple():
class SomeResource:
def __init__(self):
self.counter = Counter()
async def on_get(self, req, resp):
... |
<filename>entities.py
import numpy as np
import finmath_calculations
# MATHEMATICAL FUNCTIONS ###############################################################################################
class coef_function1d(object):
'''
1-dimensional coeffitient function. It depends on only 1 argument.
Contains its ... |
from pyvisdk.base.managed_object_types import ManagedObjectTypes
from pyvisdk.base.base_entity import BaseEntity
import logging
########################################
# Automatically generated, do not edit.
########################################
log = logging.getLogger(__name__)
class SearchIndex(BaseEntity):... |
<gh_stars>1-10
r"""@package motsfinder.metric.discrete.numerical
Numerical low-level computations and helpers.
These are used by e.g. the .patch.DataPatch classes to perform their
interpolation and differentiation on grids of data.
"""
import itertools
from operator import add
import numpy as np
from scipy.interpol... |
from serenity.data.batch.load_sharadar_tickers import LoadSharadarTickersTask
from serenity.data.batch.utils import LoadSharadarTableTask, ExportQuandlTableTask
from serenity.data.sharadar_api import clean_nulls, yes_no_to_bool
from serenity.data.sharadar_holdings import FormType, SecurityAdType, TransactionType, Secur... |
<reponame>kokron/velocileptors
import numpy as np
import time
from scipy.interpolate import interp1d
from velocileptors.Utils.loginterp import loginterp
from velocileptors.Utils.spherical_bessel_transform_fftw import SphericalBesselTransform
from velocileptors.Utils.qfuncfft import QFuncFFT
from velocileptors.LPT.... |
#!/usr/bin/env python3
# Copyright (c) 2021, NVIDIA CORPORATION. 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
... |
<reponame>elifesciences-publications/genomic-features-survival<gh_stars>10-100
#!/usr/bin/env python
# encoding: utf-8
'''
Created by <NAME>
on 2018-2-12.
Given the copy-number-change sizes files generated from the sister script,
calculate z-scores first excluding broad mutations, then excluding focal mutations.
Cop... |
<gh_stars>1-10
import hmac
import random
from collections import namedtuple
Point = namedtuple('Point', ['x', 'y'])
class EllipticCurveBase:
""" A generic class for elliptic curves and operations on them.
The curves must be of the form: y^2 = x^3 + a*x + b.
"""
def __init__(self, hash_function)... |
<filename>modal_connection.py
__author__ = 'Tarsier'
import os
import tkinter as tk
from tkinter import *
from tkinter import ttk
from tkinter import simpledialog
from settings import Settings
import serial.tools.list_ports
class ConnectionDialog(simpledialog.Dialog):
def body(self, master):
self.p... |
<filename>models/base.py<gh_stars>1-10
from sqlalchemy import orm
class QueryProperty(object):
""" """
def __init__(self, session):
self.session = session
def __get__(self, model, Model):
mapper = orm.class_mapper(Model)
if mapper:
if not getattr(Model, 'query_class', ... |
"""
registries: classes and functions for registration
<NAME> <<EMAIL>>
Copyright 2021, <NAME>
License: Apache-2.0
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.apa... |
"""
owtf.interface.reporter
~~~~~~~~~~~~~~~~~~~~~~~
The reporter module is in charge of producing the HTML Report as well as
provide plugins with common HTML Rendering functions
.note::
This is being deprecated.
"""
import cgi
from tornado.template import Loader
from owtf.http.requester import requester
from o... |
<gh_stars>0
# -*- coding: utf-8 -*-
import calendar, logging, pprint
from django.conf import settings as project_settings
from django.core.cache import cache
from django.core.urlresolvers import reverse
from tech_services_reports.models import Accession, CatEdit
log = logging.getLogger("webapp")
class DateMaker(ob... |
from har_models import har_data_from_dict, Entry
from typing import Set, List, Tuple, Dict
from datetime import datetime
import json
import logging
import copy
logging.basicConfig(
level=logging.DEBUG,
format="[%(asctime)s] %(levelname)-12s|process:%(process)-5s|thread:%(thread)-5s|funcName:%(funcName)s|messag... |
import sys
import os
import re
import time
import logging
import string
from NullHandler import NullHandler
import help
from vlogTemplate import vlogTemplate
from incTemplate import incTemplate
"""
Reads in a Graphviz .dot file and generates a Verilog state machine based
on some simple rules.
1) Only one state trans... |
<gh_stars>0
from datetime import datetime
import copy
import pandas as pd
import pytest
import sqlalchemy_utils.functions as sql_utils
import provenance as p
import provenance._commonstore as cs
import provenance.blobstores as bs
import provenance.repos as r
from conftest import artifact_record
def test_inputs_json... |
import networkx as nx
import numpy as np
from itertools import repeat
from tqdm.auto import tqdm
import time
from multiprocessing.dummy import Pool
from qtensor.optimisation.TensorNet import QtreeTensorNet
from qtensor.optimisation.Optimizer import OrderingOptimizer, TamakiOptimizer, WithoutOptimizer, TamakiTrimSlicin... |
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