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import numpy as np
from subprocess import call
import os
import sys
sys.path.insert(1,'../')
import banner
import pc
import pylhe
import kinematics as kin
import collections
from scipy import interpolate, integrate, optimize
# Extract the axion from banner
def get_mass_from_pc(rd,pid=622, banner_tag='HPS'):
bf... |
# emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 noet:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ##... |
<gh_stars>10-100
# Copyright (C) 2010-2011 <NAME>
# Copyright (C) 2011 <NAME>
# Copyright (C) 2015 <NAME>
# Copyright (C) 2016 <NAME>, KKG - <EMAIL>
#
# 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 S... |
<reponame>ffcccc/MachineLearning
"""
@ Filename: AssociationAnalysis.py
@ Author: Danc1elion
@ Create Date: 2019-05-27
@ Update Date: 2019-06-02
@ Description: Implement AssociationAnalysis
"""
class Apriori:
def __init__(self, min_support=0.5, min_confidence=0.6):
self.min_suppor... |
#!/usr/bin/env python
import dbm.gnu
import os
import os.path
import sys
from google.cloud import pubsub_v1, storage
from tqdm import tqdm
from shared import (
encode_int,
encode_json,
future_waiter,
get_mogile_files_from_database,
get_state_int,
make_bucket_map,
make_db_connection,
m... |
<reponame>AmaxJ/TaskWhip
#run this file to create and populate a db with some dummy values
from datetime import datetime
import sys
import os
sys.path.insert(0, os.path.abspath('..'))
from api import db
from api.models.users import User
from api.models.tasks import Task
from api.models.groups import Group, Company
de... |
# coding=utf-8
"""
Module to detect the folder type.
"""
import os
import re
import configparser
def get_files(path, exclude=(), ignore_symlinks=True):
"""
Function to get files
Parameters
----------
path : str
Path walk through.
exclude : List[str] or Tuple[str]
List of file... |
<filename>rc_pose_controller/src/pose_controller_with_reg_func_goal_tolerance.py
#! /usr/bin/env python
# coding: utf-8
# This is pos controller for like-car robot
import math
import numpy as np
import time
import rospy
import tf
from geometry_msgs.msg import Twist, Pose, TwistStamped, PoseStamped
from geometry_msgs... |
### Task Serializers ###
from datetime import timedelta
from django.utils import timezone
from django.core.urlresolvers import reverse
from rest_framework import serializers
from task.models import Task, TaskDirectory, Assignment
from item.models import Item
from slave.settings import *
class AssignmentSerial... |
#!/usr/bin/env python
# coding: utf-8
# In[1]:
"""
LICENSE MIT
2020
<NAME>
Website : http://www.covidtracker.fr
Mail : <EMAIL>
README:
This file contains scripts that download data from data.gouv.fr and then process it to build many graphes.
I'm currently cleaning the code, please ask me if something is not clear ... |
<reponame>usualoma/mt-plugin-PerformanceProfiler
import pytest
from performance_profiler.normalizer.sql_normalizer import SQLNormalizer
normalizer = SQLNormalizer()
@pytest.mark.parametrize(
"identical_queries",
[
[
# SELECT
# Generally, results from this queries are not iden... |
#!/usr/bin/env python3
# TODO: REVISE USING NEW HARDWARE CLASSES
__author__ = 'anton'
import evdev
from hardware.motors import DriveBase, Picker
from hardware.sensors import BallSensor
from hardware.gamepad import GamePadStub
import threading
import time
MAX_SPEED = 20 # cm per s
MIN_SPEED = 3
MAX_TURNRATE = 80 # ... |
# _*_ coding:utf-8 _*_
import re
import json
from pyquery import PyQuery as pq
from app.spider_store.common import (
match1,
get_html,
get_content,
)
from app.spider_store.utils.content_cleaner import cleaner
def sohu_news_download(url,):
html = get_content(url, )
doc = pq(html)
if "www.sohu.... |
# -*- coding: utf-8 -*-
"""Demonstration / usage example for the new features.
Created on Fri Mar 24 13:58:36 2017
@author: <NAME>, <EMAIL>
"""
from __future__ import division, print_function, absolute_import
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm
import matplotlib.colors
import b... |
from functools import partial
import asyncio
from concurrent.futures import Executor
from function_scheduling_distributed_framework.concurrent_pool.custom_threadpool_executor import ThreadPoolExecutorShrinkAble
# 没有使用内置的concurrent.futures.ThreadpoolExecutor线程池，而是使用智能伸缩线程池。
async_executor_default = ThreadPoolExecutorSh... |
#!/usr/bin/env python
"""Contains classes that represent biological sequence data. These
provide generic biological sequence manipulation functions, plus functions
that are critical for the EVOLVE calculations.
WARNING: Do not import sequence classes directly! It is expected that you will
access them through the molty... |
"""
List of some ECP URLs and strings
"""
import re
from urllib.parse import quote_plus
BASE_URL = "https://api.emea.ecp.electrolux.com"
X_API_KEY = "<KEY>"
BRAND = "Electrolux"
_region_params = {
"emea": ["https://api.emea.ecp.electrolux.com",
"714fc3c7-ad68-4c2f-9a1a-b3dbe1c8bb35",
... |
#! /usr/bin/python3
# HTML frontend
from flask import render_template, request, Flask
# Email functionality
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
# Random crap
import time
import unidecode
import sys
# Create Flask app
app = Flask(__name__)
def read_pr... |
<filename>scripts/hard_box.py
# -*- coding: utf-8 -*-
"""
Program: hard_box
Created: Apr 2020
@author: <NAME> (RRCC)
<EMAIL>
"""
### IMPORTS
import random
import math as m
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from matplotlib.ticker import Au... |
<reponame>jeremyjyang/BioClients<gh_stars>1-10
#!/usr/bin/env python3
"""
TCRD db client utility (see also Pharos GraphQL API)
"""
import os,sys,argparse,re,time,json,logging
from ...idg import tcrd
from ...util import yaml as util_yaml
#############################################################################
if ... |
<filename>data.py
import matplotlib.pyplot as plt
import math
import numpy as np
from utils import tool
import torch
def add_particle(img_sz, particle):
"""
This method cannot build very small particle image.
"""
u, v = np.meshgrid(np.arange(0, img_sz[0]),np.arange(0, img_sz[1]))
u, v = u[:... |
<reponame>diogo1790team/inphinity_DM<filename>objects_new/Couples_new.py
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 31 14:40:55 2017
@author: Diogo
"""
from SQL_obj_new.Couple_sql_new import _Couple_sql_new
class Couple(object):
"""
This class treat the Couples object has it exists in COUPLES table datab... |
<reponame>pstephens/project-5g
#!/usr/bin/env python3
import argparse
import itertools
import json
import sys
def load_data(f):
data = []
for line in f:
data.append(json.loads(line))
return data
def Deg(r):
return r["Deg"]
n
def Values(path):
parts = [x for x in path.split(".") if x]
... |
from __future__ import absolute_import
import os
import sys
from collections import defaultdict
from .gemini_constants import *
from . import GeminiQuery
class Site(object):
def __init__(self, row):
self.chrom = row['chrom']
self.end = int(row['end'])
self.gt_type = None
def _prune_run(ru... |
import subprocess
import fpga
import pathlib
import os
import time
def modelsim_write(proc,command):
proc.stdin.write(command)
proc.stdin.flush()
def modelsim_read(proc):
dat = ""
dat_out = ""
while (True):
dat = proc.stdout.read(1)
if (not dat) or (dat == ">"):
break
dat_out=dat_out+dat
return dat_... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
import numpy
from PyQt4 import QtCore, QtGui
from gui.qtgen.matrizdialog import Ui_MatrizDialog
try:
_tr = QtCore.QString.fromUtf8
except AttributeError:
_tr = lambda s: s
class ShowMatrizDialog(QtGui.QDialog):
u"""
... |
import os
import random
import re
from datetime import datetime
import pytest
from invoke.context import Context
import test.test_utils.ec2 as ec2_utils
import test.test_utils.eks as eks_utils
from src.github import GitHubHandler
from test.test_utils import is_pr_context, SKIP_PR_REASON
# Test only runs in regio... |
<filename>chandra_aca/planets.py
# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Functions for planet position relative to Chandra, Earth, or Solar System
Barycenter.
Estimated accuracy of planet coordinates (RA, Dec) is as follows, where the JPL
Horizons positions are used as the "truth".
- `get_... |
<reponame>EvanKepner/m
"""
API
---
These are high level objects for interacting with ``mutatest``. The primary objects include:
1. The ``Genome``
2. The ``GenomeGroup``
3. The ``Mutant``
``Genomes`` are representations of a Python source code file. This includes a representation of
the Abstract Syntax Tree (AST) and... |
<filename>vmcnet/physics/spin.py
"""Spin calculations."""
from typing import Callable
import jax.numpy as jnp
from vmcnet.utils.distribute import get_mean_over_first_axis_fn
from vmcnet.utils.typing import Array, P, ModelApply, SLArray
def create_spin_square_expectation(
local_spin_exchange: ModelApply[P], nele... |
<gh_stars>1-10
"""surf URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')... |
<filename>bundle/sagemaker_rl_agent/lib/python3.6/site-packages/markov/gazebo_utils/model_updater.py
import time
import rospy
import markov.rollout_constants as const
from markov.log_handler.deepracer_exceptions import GenericRolloutException
from markov.domain_randomizations.constants import GazeboServiceName
from mar... |
"""
Ingress example for Kusto DB (from CSV file)
There must be a file called ".env" in this folder with the environment variables
(each is NAME_OF_VAR=value, one per line).
It must be an AAD application that is cleared by the engineering team for access to
the databases below and the variables needed are:
- TENANT_... |
<filename>omnicanvas/svg.py
def generate_graphic_svg(graphic, include_fill=None):
width = "stroke-width:%.1f;" % graphic.line_width()
pattern = "stroke-dasharray:%s;" % {
"-": "1,0",
"--": "%.1f,%.1f" % (10 * graphic.line_width(), 5 * graphic.line_width()),
"..": "%.1f,%.1f" % (1 * graphic.line_w... |
<filename>limited/core/admin.py<gh_stars>0
# -*- coding: utf-8 -*-
from django.contrib import admin
from django import forms
from django.contrib.auth.admin import UserAdmin
from django.template.defaultfilters import filesizeformat
from limited.core.models import FileLib, Permission, Home, History, Link, LUser, Profil... |
# coding: utf-8
# Copyright (c) Max-Planck-Institut für Eisenforschung GmbH - Computational Materials Design (CM) Department
# Distributed under the terms of "New BSD License", see the LICENSE file.
from collections import OrderedDict
import numpy as np
import os
import pandas
import posixpath
import warnings
from ast... |
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
load("@rules_python//python:pip.bzl", "pip_install")
_PANDOC_BUILD_FILE = """
filegroup(
name = "pandoc",
srcs = ["bin/pandoc"],
visibility = ["//visibility:public"],
)"""
def gapic_generator_python():
_maybe(
pip_install,
... |
<reponame>HosodaMath/creative_to_svg<filename>Python/testLine.py
from mathematics.vector import Vector2
from geometry import line as li
from testBaseSVG import TestSVG
class Line2Test:
def __init__(self, init_position1: Vector2, init_position2: Vector2) -> None:
"""
line test lineテストの定義クラス
... |
from . import SpecValidator
AzureSpec = {
'available_os': {
'CentOS7': {
'publisher': SpecValidator(type='string', default="OpenLogic"),
'offer': SpecValidator(type='string', default="CentOS"),
'sku': SpecValidator(type='string', default="7.7"),
'ssh_user': S... |
"""
OpenVINO DL Workbench
Endpoints to work with downloading of files
Copyright (c) 2018 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses... |
<gh_stars>0
# import random
#
# x = []
# for j in range(0, 10000):
# num = random.randint(1, 2000000) # picking between 1-200000 numbers value into num variable
# x.append(num) #adding num value to array
# with open('originalList5.txt', 'w') as filehandle: #Writing to original list files, i did it 5 time... |
"""
The models implemented here are the architectures to use the original EmbraceNets and the proposed EmbraceNet +.
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
from .utils.componets import WeightedSum, EmbraceNet
import numpy as np
class ModelOne(nn.Module):
'''
EembraceNet
'''
def... |
<reponame>oceanobservatories/ooi-instrument-agent<filename>ooi_instrument_agent/client.py<gh_stars>0
import logging
import six
import zmq.green as zmq
log = logging.getLogger(__name__)
context = zmq.Context()
DEFAULT_TIMEOUT = 60
class TimeoutException(Exception):
status_code = 408
def __init__(self, mess... |
<filename>monai/deploy/core/resource.py
# Copyright 2021 MONAI Consortium
# 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 a... |
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative works of this code must retain this
# copyright notice, and mod... |
<filename>test/compiler/test_enot_compiler.py
import os
import subprocess
import unittest
from os import listdir
from os.path import join
from mock import patch
import test
from enot.__main__ import create
from enot.compiler.enot import EnotCompiler
from enot.pac_cache.local_cache import LocalCache
from enot.packages... |
<filename>examples/domain.py
# File: domain.py
# Author: <NAME>
# Created On: 23 Oct 2019
# Purpose:
# Defines a combinatorial domain.
# Notes:
#
from .alternative import Alternative
from random import randint
class Domain:
# Precond:
# attributes is an integer representing the number of attributes in the... |
<gh_stars>0
#!/usr/bin/env python
import os
import sys
sys.path.insert(0,os.environ['HOME']+'/P3D-PLASMA-PIC/p3dpy/')
import numpy as np
from mpi4py import MPI
from subs import create_object
from AnalysisFunctions import fcorr
#
# MPI INITIALIZATION
#
comm = MPI.COMM_WORLD
size = comm.Get_size()
rank = comm.Get_rank(... |
"""Plugin to read FSM file."""
# Copyright (c) 2017
# Authors: <NAME> <<EMAIL>>
# License: BSD 3 clause
from __future__ import absolute_import, print_function, division
import struct
from os.path import basename
import numpy as np
from six import string_types
from .. import formats
from ..core import Format
from .... |
<reponame>nizikawa-worms/WA-Errorlog-Parser<filename>errorlog.py
import logging
import argparse
import pathlib
import re
from range_key_dict import RangeKeyDict
from tabulate import tabulate
class Module:
# WA 3.8.1
WASegments = RangeKeyDict({
(0x00400000, 0x00401000 - 1): '.HEADER',
(0x00401000, 0x0061A000 - 1... |
import logging
from typing import IO, Any, Dict, Optional, Tuple, cast
import yaml
from sqlalchemy import create_engine, text
from sqlalchemy.engine import Engine
from panoramic.cli.config.storage import read_context, update_context
from panoramic.cli.errors import (
ConnectionCreateException,
ConnectionUrlNo... |
<filename>src/audiobook_split_ffmpeg/util.py
# Copyright 2018 <NAME> (MawKKe)
#
# 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 req... |
import bson
import re
from collections import defaultdict
import numpy as np
import pandas as pd
from scipy import sparse as sp
from spacy.en import English
from sqlalchemy import create_engine
import psycopg2
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.feature_extraction import DictVect... |
<gh_stars>0
import os
import unittest
from abc import ABC
from shutil import rmtree
import numpy as np
import z5py
try:
import zarr
import numcodecs
zarr_version = zarr.__version__
except ImportError:
zarr = None
zarr_version = "0.0.0"
class ZarrTestMixin(ABC):
shape = (100, 100)
chunks ... |
import math
from enum import Enum
import torch.nn as nn
import torch.nn.functional as F
from pytorch_pretrained_bert import BertModel
from pytorch_pretrained_bert.modeling import BertLayerNorm
import flint.span_util as span_util
import flint.torch_util as torch_util
import torch
def gelu(x):
"""Implementation ... |
<reponame>ATestGroup233/mindspore
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... |
<reponame>dkkim93/meta-mapg
import torch
import gym
import numpy as np
import torch.nn.functional as F
from gym_env import make_env
from meta.dice import get_dice_loss
from meta.linear_baseline import LinearFeatureBaseline
from torch.autograd import Variable
from torch.distributions import Categorical, Normal
from coll... |
"""This submodule implements some convenience dictionaries for working with the periodic table.
Data was scraped from a combination of the periodictable Python package (on which matador used to
depend) and pymatgen.
"""
from typing import Dict
from dataclasses import dataclass
__all__ = ("PERIODIC_TABLE",)
@datacl... |
<reponame>daesookimds/AWS-DynamoDB-connector
import time
import boto3
import pandas as pd
from boto3.dynamodb.conditions import Key, Attr
class DynomoConnector(object):
def __init__(self, **param):
param = {key: value for key, value in param.items()}
self.aws_access_key_id = param["aws_access_key_i... |
<filename>django/bin/WebShop/WebShop/usermanager.py
#-*- coding:utf-8-*-
########################################################################################
#作者:韩望
#修改者:
#日期:2016-04-05
#版本:version 1.0
#备注:用户管理函数，主要解决用户的增，删，查，改
#######################################################################################... |
<reponame>MatthewGerber/rl<filename>src/rlai/models/sklearn.py
import sys
import threading
import time
from argparse import ArgumentParser
from typing import Tuple, List, Optional, Any, Dict
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.backends.backend_pdf import PdfPages
from numpy.random import... |
from kivy.metrics import dp
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.image import Image
from kivy.uix.label import Label
from kivy.uix.screenmanager import ScreenManager, SlideTransition, Screen
from kivy.properties import StringProperty, ObjectProperty, BooleanProperty, NumericProperty, ListProperty
from... |
import numpy as np
import lasagne
import theano
import sys
from lasagne import layers
from lasagne.nonlinearities import sigmoid, rectify, leaky_rectify, identity
from data_aug_necrosis import data_aug
sys.path.append('..')
from common.batch_norms import batch_norm
from common.shape import ReshapeLayer
# Parameters... |
from django.db import models
from django.utils.translation import ugettext as _
from .userAuthenticated import UserAuthenticated
from newspaper.models import Journalist, Section, SubSection, Classifield
from django.contrib.auth.models import Group, Permission
class Redator(UserAuthenticated):
def registeringJournalis... |
# -*- coding: utf-8 -*-
try:
from django.db.models import QuerySet, FieldDoesNotExist
from django.db.models.fields.related import RelatedField
except ImportError:
QuerySet = None
FieldDoesNotExist = None
class Preparer(object):
"""
A plain preparation object which just passes through data.
... |
import json
import logging
import time
import unittest
import pytest
from tests.cook import mesos, util
@pytest.mark.multi_user
@unittest.skipUnless(util.multi_user_tests_enabled(), 'Requires using multi-user coniguration '
'(e.g., BasicAuth) for Cook Scheduler'... |
"""Test duplicate behavior."""
import graphene
import pytest
import graphanno
from .test_objects import duplicated
from .utils import to_dict
@graphanno.graph_annotations
class Duplicated:
"""
Wrapper for the Duplicate class. The name is purposely the same
as the name of the model, this will cause the n... |
ORIGINAL_SERVER_CONFIG="""
bootstrap.servers=ansiblebroker1.example.com:9092
config.storage.replication.factor=3
config.storage.topic=connect-cluster-configs
confluent.license.topic=_confluent-command
confluent.metadata.basic.auth.user.info=connect_worker:<PASSWORD>
confluent.metadata.bootstrap.server.urls=https://ansi... |
# DISCLAIMER: This is jank
from __future__ import print_function
import argparse
import csv
import json
import os
import zerorpc
from collections import defaultdict
from flask import Flask, flash, jsonify, redirect, render_template, url_for
from werkzeug.exceptions import NotFound
from poketrainer.poke_lvl_data impo... |
from __future__ import absolute_import
import cPickle as pickle
import datetime
import json
import sys
from . import progress
from .backup import BackupFile, NewBackup
from .cache import Slot
from .config import argument_parser, configure, conf, log
from .site import Site
from .storage import Storage
def main(args):... |
<gh_stars>0
import pandas as pd
import numpy as np
import torch
from torch import nn
from torch.autograd import Variable
from sklearn.ensemble import GradientBoostingRegressor
import joblib
import matplotlib.pyplot as plt
from sklearn import metrics
#### 使用torch构建LSTM模型 ####
class lstm(nn.Module):
def __init__(sel... |
<filename>scsr_api/scsr/models/test_behaviors.py
import json
import unittest
from mongoengine.connection import _get_db
from scsr.models.elements import ElementAO, ElementDB, ElementReferenceDB, ElementReferenceAO, ElementGameMappingAO, ElementGameMappingDB
from scsr.models.behaviors import BehaviorAO, BehaviorDB
from ... |
import appdaemon.plugins.hass.hassapi as hass
import datetime
#
# App which toggles entities for single/double/hold presses of Xiaomi buttons connected via deconz
#
# Args:
#
# id: id of the xiaomi button
# actor_single: actor to toggle on single click
# actor_double: actor to toggle on double click
# actor_hold: acto... |
"""
Utility functions for building neural networks in theano.
Most of these are taken from http://deeplearning.net/tutorial/.
"""
from __future__ import print_function
import os
import sys
import timeit
import gzip
import pickle
import numpy as np
import theano
import theano.tensor as T
def load_data(dataset):
... |
<gh_stars>1-10
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License")... |
<filename>Test.py
from python_helper import ObjectHelper
from reinforcement_learning import hash as hashModule
from reinforcement_learning import Set, Dictionary, Tuple, List
def getWorksAsIntended():
#arrange
simpleSet = {1,2,3}
anotherSimpleSet = {1,2,3}
anotherSimpleSetInAnotherOrder = {1,3,2}
d... |
<reponame>kafee23/Deep_Learning_AV<gh_stars>0
# -*- coding: utf-8 -*-
"""
"""
from keras.models import Sequential
from keras.layers import Dense, Dropout
from keras.wrappers.scikit_learn import KerasRegressor, KerasClassifier
from sklearn.model_selection import cross_val_score
from sklearn.model_selection im... |
<gh_stars>1-10
import os
import bpy
from bpy.app.handlers import persistent
bl_info = {
"name": "Auto FBX export",
"author": "Flavelius",
"description":"Automatically export fbx when saving file",
"version": (0, 1),
"blender": (2, 80, 0),
"category":"Import-Export",
"support":"COMMUNITY",
... |
# Copyright (c) <NAME>.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory.
from fcmaes.astro import MessFull, Messenger, Cassini2, Rosetta, Gtoc1, Cassini1
from fcmaes.optimizer import Optimizer, logger
from fcmaes.advretry import Store, retry, minimize
def mess... |
<gh_stars>0
#! python3
import datetime
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from color import GREEN, YELLOW, YELLOW_BRIGHT
def _get_text_bbox(text):
'''
Argument
--------
text (matplotlib.Text)
Returns
-------
bbox (matplotlib.BBox)
'''
bbox =... |
import cv2
from utils import to_gray, has_alpha, blend_white, get_image_paths
import numpy as np
import glob
import sys
from timeit import default_timer as timer
def resize(patch):
target_height = 15 * 8
curr_height = patch.shape[0]
mul = target_height / (1.0 * curr_height)
return cv2.resize(patch, N... |
<filename>bench/visualize.py
'''
Module containing Visualizers.
Classes embody Function Plots,
for visualization of data.
'''
import numpy, matplotlib.pyplot
class UnivariatePlot:
'''
Univariate Function Plots
'''
# assumed to have a univariate function already defined
def __init__(self, lowerlimit = None, up... |
<gh_stars>100-1000
"""Optimizations that rewrite graph interfaces."""
import operator
from dataclasses import dataclass
from functools import lru_cache, reduce
from types import SimpleNamespace as NS
from ..info import About
from ..ir import Graph, Parameter
from ..operations import primitives as P
from ..utils impor... |
<filename>apps/downtimes.py<gh_stars>1-10
import dash_table
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import plotly.graph_objects as go
import numpy as np
import statistics
from plotly.subplots import make_subplots
from database_c... |
"""
Plot electric potential output from CHARMM PBEQ calculation.
These units are labeled as Angstrom for grid and unitCharge/Angstrom for potential.
Verify these with CHARMM configuration file.
By: <NAME>
Example: python plotpbeq.py -d /path/to/dir -i -1 -c X
"""
import os
import re
import sys
import pandas as pd
i... |
import numpy as np
import pandas as pd
import subprocess
import os
import classes
def get_sn_from_file(pathToSN, magFlag=False):
"""Reads photometric data of SN from file formatted as in SNPhotCC
Keyword arguments:
pathToSN -- path to file from which extract data.
Returns:
sn -- object of class ... |
<gh_stars>1-10
import torch
from model import AudioToPose, PoseDiscriminator
from transforms import BVHtoMocapData, MocapDataToExpMap, Pipeline, AudioToLogMelSpec
from pathlib import Path
from argparse import Namespace
import torch.nn as nn
import librosa
d = 1
class GesturePrediction:
def __init__(self, checkpo... |
<reponame>TuringApproved/Turing_Neural_Networks
__author__ = "<NAME>"
"""In this file, a R-ANN is constructed from a sample Turing Machine.
Specifically, the TM decides if an input unary string is composed by
an even number of 1's.
A Generalized Shift is first created from the TM description.
Subsequently, an NDA si... |
<filename>bin/headlines.py<gh_stars>0
from mutation import *
np.random.seed(1)
random.seed(1)
def parse_args():
import argparse
parser = argparse.ArgumentParser(description='Headline analysis')
parser.add_argument('model_name', type=str,
help='Type of language model (e.g., hmm, lst... |
import yaml
import json
import requests
import csv
import pandas as pd
from tempfile import NamedTemporaryFile
import shutil
allowedVocabs = ['ICD10', 'ICD10CM', 'ICD10CN', 'ICD10GM', 'ICD10PCS', 'ICD9CM',
'ICD9Proc', 'ICD9ProcCN', 'LOINC', 'RxNorm', 'RxNorm Extension', 'SNOMED']
def checkIdExits(ID):
node_norm... |
"""
Utilities for exploring the anchor network within a model in order to
find the optimal procedure for steering the system to the different
anchors.
"""
import numpy as np
try:
import openmm.unit as unit
except ModuleNotFoundError:
import simtk.unit as unit
def find_edge_distance(model, src_anchor_index, de... |
<filename>client/pyre.py
# Copyright (c) 2016-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import logging
import os
import shutil
import sys
import time
import traceback
from dataclasses import dat... |
'''
## Aliyun ROS HBR Construct Library
This module is part of the AliCloud ROS Cloud Development Kit (ROS CDK) project.
```python
# Example automatically generated from non-compiling source. May contain errors.
import * as HBR from '@alicloud/ros-cdk-hbr';
```
'''
import abc
import builtins
import datetime
import en... |
"""Bilinear layer for NeuralPy"""
from torch.nn import Bilinear as _BiLinear
from neuralpy.utils import CustomLayer
class Bilinear(CustomLayer):
"""
A bilinear layer is a function of two inputs x and y
that is linear in each input separately.
Simple bilinear functions on vectors are the
dot produ... |
from django.http import HttpResponse,HttpResponseRedirect,HttpResponseNotFound
from django.http import QueryDict
import json
from django.contrib.auth.models import User, Group
from django.contrib import messages
from django.core import serializers
from sampledbapp.models import *
import django_rq
from datetime import d... |
<reponame>zhanqxun/cv_fish
import win32com
import win32com.client
if type(__path__)==type(''):
# For freeze to work!
import sys
try:
import adsi
sys.modules['win32com.adsi.adsi'] = adsi
except ImportError:
pass
else:
# See if we have a special directory for the binaries (for developers)
win32c... |
<filename>change_detection/archive/models/smallunet.py
# <NAME>
# https://rcdaudt.github.io/
# <NAME>., <NAME>., & <NAME>. "Fully convolutional siamese networks for change detection". In 2018 25th IEEE International Conference on Image Processing (ICIP) (pp. 4063-4067). IEEE.
import torch
import torch.nn as nn
import ... |
<reponame>acady14/transitEval
__author__ = 'acady'
import googlemaps
import json
import time
import csv
import math
import numpy as np
import datetime as dt
import pickle
import random
from RouteClass import route
from GmapsConnection import *
from geometry import *
query_name=str(dt.datetime.now().y... |
from __future__ import annotations
import logging
import os
import shutil
from distutils.dir_util import copy_tree
from functools import lru_cache
from typing import List, Tuple
import git
from ogr.abstract import GitProject
from packit.config import PackageConfig
from packit.constants import DG_PR_COMMENT_KEY_SG_PR... |
<reponame>nakamura196/neural-neighbors
import numpy as np
import faiss
import time
import json
def main():
with open('data.json', 'r') as f:
xb = np.array([np.array(json.loads(l.strip())).astype('float32') for l in f])
for i in range(len(xb)):
xb[i][0] += np.random.random()
nq = 1
xq ... |
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