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import cv2
import numpy as np
from cfg.config import model_params, path_params, test_params, CLASSES
def calculate_iou(box_1, box_2):
"""
calculate iou
:param box_1: (x0, y0, x1, y1)
:param box_2: (x0, y0, x1, y1)
:return: value of iou
"""
# calculate area of each box
area_1 = (box_1[2]... |
import math
import numpy as np
import string
import random
import json
import argparse
import torch as T
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from transformers import *
import sys
sys.path.append("../")
from DataLoader.bucket_and_batch import bucket_and_batch
from model.B... |
from enum import Enum, unique
from math import fabs
import random
from tetris_engine import TetrisEngine, Playfield, TetrominoShape
"""
TODO if we record how the agent performs we can use emojis
🡲 Wide-Headed Rightwards Medium Barb Arrow
🡰 Wide-Headed Leftwards Medium Barb Arrow
🡳 Wide-Headed Downwards Medium Barb... |
import logging
import struct
import time
import json
from ctypes import sizeof
from ctypes.wintypes import FLOAT
from SimConnect.Enum import SIMCONNECT_CLIENT_DATA_PERIOD, SIMCONNECT_UNUSED
class SimVariable:
def __init__(self, id, name, float_value = 0):
self.id = id
self.name = name
self.... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Detect dhcp server working status on the network by broadcasting DHCP
discover packet
Created on Mar 27, 2011
Update on May 9, 2014 - ruohan.chen
@author: hassane,
linxiulei<<EMAIL>>,
<EMAIL><<EMAIL>>
'''
from __future__ import print_function
impor... |
from flask import Blueprint, request, jsonify
from ..Models import db
from ..Models.User import User
from ..Models.Course import Course
from ..Models.Schedule import Schedule
from ..Models.Role import Role, RoleName
from ..app import error_json
from .Auth import require_logged_in
from datetime import datetime
import ... |
""""
Implements the View-Model of an MVVM architecture.
"""
import hashlib
import pickle
import re
from collections import OrderedDict, namedtuple
from itertools import takewhile
from typing import List, Mapping
import dateutil.parser
import nbformat
from sqlalchemy.orm import joinedload, undefer
from nbcollate impo... |
'''Functions for performing CPM on connectome data.
Originally created by github:esfinn at https://github.com/esfinn/cpm_tutorial/
'''
from random import sample
import numpy as np
import scipy as sp
import pandas as pd
from sklearn.model_selection import KFold
def mk_kfold_indices(subj_list, k=10):
"""
Spli... |
import json
from urllib import response
import pandas as pd
import os
import spacy
from urllib.request import urlopen
import json
import requests
import tarfile
from tqdm import tqdm
"""
Method to get the size (bytes) of a directory (including all of its child directory)
Code taken from:
https://stackoverflow.com/qu... |
import cv2 # state of the art computer vision algorithms library
import numpy as np # fundamental package for scientific computing
import matplotlib.pyplot as plt # 2D plotting library producing publication quality figures
import pyrealsense2 as rs ... |
"""Various common utils shared by the bots."""
import re
from typing import Dict, Iterator, Optional, Set
import unicodedata
import mwparserfromhell
import pywikibot
import pywikibot.data.api
from pywikibot import Site
# Configuration used in the module, see `initLimits()`.
_editsLimits: Dict[str, int] = {'default':... |
from itertools import groupby
class Atom:
"""An indeterminate raised to a certain power"""
def __init__(self,s,p=1):
assert type(s) == str
assert len(s) == 1
assert type(p) == int
assert p >= 1
self.s = s
self.p = p
def __eq__(self,other):
... |
#!/usr/bin/env python3
import random, os, time, sys
from nano25519.nano25519 import ed25519_oop as ed25519
from pyblake2 import blake2b
from bitstring import BitArray
import binascii
from configparser import SafeConfigParser
from modules import nano
import pyqrcode
BOARDWIDTH = 10
BOARDHEIGHT = 10
RAW_AMOUNT = 100000... |
import random
import websockets
import asyncio
import os
import sys
import json
import argparse
import gi
gi.require_version('Gst', '1.0')
from gi.repository import Gst
gi.require_version('GstWebRTC', '1.0')
from gi.repository import GstWebRTC
gi.require_version('GstSdp', '1.0')
from gi.repository import GstSdp
sessi... |
from apscheduler.schedulers.blocking import BlockingScheduler
from multiprocessing.dummy import Pool as ThreadPool
from bs4 import BeautifulSoup as bs
import requests
import timeit
import datetime
import time
import sys
import re
from getconf import *
# TO DO: scrape for early links
# Constants
base_url = 'http://www... |
# 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.
# pyre-strict
import argparse
import ast
import functools
import glob
import logging
import os
from pathlib import Path
from typing import Callable... |
import argparse
import json
import sys
import pandas as pd
import numpy as np
import scipy.interpolate
import lalsimulation as lalsim
from gwpy.table import Table
try:
import ligo.lw # noqa F401
except ImportError:
raise ImportError("You do not have ligo.lw install: $ pip install python-ligo-lw")
from bilb... |
import os
import pickle
import gym
import numpy as np
import torch
import torch.nn.functional as F
from gym.spaces.box import Box
from gym.wrappers.clip_action import ClipAction
from stable_baselines3.common.atari_wrappers import (ClipRewardEnv,
EpisodicLifeEnv,
... |
import numpy as np
import xarray as xr
import sympy as sp
import control as ct
from typing import Callable, Optional, Sequence, Union, Tuple
from collections import deque
from textwrap import indent
from tqdm.auto import tqdm
from scipy.linalg import expm
from IPython.display import display, Markdown
from scipy.signal... |
# Copyright 2021, 2022 Cambridge Quantum Computing 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 required by applicable la... |
from tqdm import trange
from script.model.sklearn_like_model.Mixin import Xs_MixIn, zs_MixIn, noise_MixIn
from script.model.sklearn_like_model.BaseModel import BaseModel
from script.util.Stacker import Stacker
from script.util.tensor_ops import *
from script.util.summary_func import *
import numpy as np
def ... |
# python3
# Copyright 2021 InstaDeep 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 a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
import logging
from logging import config
import json
import random
from random import shuffle
import argparse
from pprint import pprint
from pathlib import Path
import sys
import os
import gc
import math
import ipdb
from tqdm import tqdm
import numpy as np
import pandas as pd
import adabound
from sklearn.metrics impor... |
#!/usr/bin/env python3
# coding: utf8
# Author: <NAME>, 2018
'''
Parse the MEDIC terminology used for the NCBI disease corpus.
'''
import csv
from collections import OrderedDict
from ..terminology import DictEntry
from ...util.util import smart_open
from ...util.umls import read_RRF, iterconcepts, co_rows, C, D
... |
"""
KVSController is a wrapper for KVSClient that adds some useful functionality related to interprocess
communication.
It also keeps track of a bunch of SLURM related stuff that was previously workflow's problem.
"""
from kvsstcp import KVSClient
from inferelator.distributed import AbstractController
from inferelato... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import torch
from torch.nn import functional as F
from maskrcnn_benchmark.layers import smooth_l1_loss
from maskrcnn_benchmark.modeling.box_coder_3d import BoxCoder3D
from maskrcnn_benchmark.modeling.matcher import Matcher
from maskrcnn_benchmark.... |
# -----------------------------------------------------------------------------
# Copyright (c) 2009-2016 <NAME>. All rights reserved.
# Distributed under the (new) BSD License.
# -----------------------------------------------------------------------------
import numpy as np
from . import colors as _colors
from glumpy... |
import numpy as np
import pandas as pd
from nltk import word_tokenize
from scipy.optimize import linear_sum_assignment
import networkx as nx
from node2vec import Node2Vec
from tax_utils import read_nigp_csv_pd, get_averaged_vectors, read_okpd_pd
from tax_utils import matrices_cosine_distance, get_top_indices
from ut... |
from functools import wraps
from time import time
from typing import Optional
import jsonpickle as jspkl
import json
import requests
from flask import Flask, jsonify, request, render_template
from flask_cors import CORS
import binascii
import Crypto
import Crypto.Random
from Crypto.PublicKey import RSA
from blockchai... |
import tensorflow as tf
from tensorflow import keras
from tensorflow.python.keras.engine import data_adapter
from tensorflow.python.eager import backprop
from tensorflow.python.keras.mixed_precision.experimental import loss_scale_optimizer as lso
from tensorflow.python.distribute import parameter_server_strategy
clas... |
#!/usr/bin/env python
import re
import sys
from optparse import OptionParser
def extractSplitsFromBwaMem(inFile, numSplits, includeDups, minNonOverlap):
if inFile == "stdin":
data = sys.stdin
else:
data = open(inFile, 'r')
for line in data:
split = 0
if line[0] == '@':
... |
import os
import typing as tp
from numbers import Number
from dataclasses import dataclass
try:
import click
except ImportError:
click = None
from .math import *
from .table import TableParameters
__all__ = ('Designer', 'DesignResult')
class Designer:
"""A utility to assist in choosing correct values fo... |
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... |
import sys
import json
import time
from random import choice, randint, randrange
import pathlib
import logging
import timeit
import click
from click_help_colors import HelpColorsCommand, HelpColorsGroup
from typing import Union, Optional
from math import inf as INFINITE
from cyberserver.servers import utilities
_scr... |
#!/usr/bin/env python
import copy
import math
import pickle
import random
from itertools import combinations
import js2py
import hashlib
import base64
def euclid(a, b):
"""returns the Greatest Common Divisor of a and b"""
a = abs(a)
b = abs(b)
if a < b:
a, b = b, a
while b != 0:
a... |
import os
import sys
import numpy as np
import json
import random
import trimesh
from sklearn.decomposition import PCA
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.join(BASE_DIR, '..', 'code'))
from pyquaternion import Quaternion
def load_obj(fn):
fin = open(fn, 'r')
lines = [l... |
import pandas as pd
import numpy as np
from collections import Counter
import itertools
import re
# Own modules
#from preprocessing import cleaning
#from utilities import utils
#### CONTACT TYPES AND ACTIVITY COUNT JOURNEY PROFILES
def one_hot_encoding(eventlog_df):
"""
Function that creates the Activity... |
import os.path
import zipfile
from collections import OrderedDict
from time import time
from django.conf import settings
from django.contrib import messages
from django.core.exceptions import PermissionDenied
from django.forms import formset_factory
from django.http import Http404
from django.shortcuts import get_obje... |
import pickle
import numpy as np
import pandas as pd
import torch
from matplotlib import pyplot as plt
from data_generator import GPCurvesReader
from decoder import Decoder
from deterministic_encoder import DeterministicEncoder
from latent_encoder import LatentEncoder
from util import plot_functions
TOTAL_EPOCHS = 1... |
"""Tree inducers: SKL and Orange's own inducer"""
import numpy as np
import scipy.sparse as sp
import sklearn.tree as skl_tree
from Orange.base import TreeModel as TreeModelInterface
from Orange.classification import SklLearner, SklModel, Learner
from Orange.classification import _tree_scorers
from Orange.statistics i... |
'''
This is a follow up of https://letianzj.github.io/portfolio-management-one.html
It backtests four portfolios: GMV, tangent, maximum diversification and risk parity
and compare them with equally-weighted portfolio
'''
import os
import numpy as np
import pandas as pd
import pytz
from datetime import datetime, timezon... |
#! /usr/bin/python3
import os
import importlib.util
# import pathlib
spec = importlib.util.spec_from_file_location("module.name",
"/home/jolitp/Dropbox/PROJECTS/python-scripts/helpers/helpers/helpers.py")
helpers = importlib.util.module_from_spec(spec)
spec.loader.exec_module(helpers)
# region def get_first_co... |
import functools
from abc import ABC, abstractmethod
from logging import Logger
from typing import List, Optional, Set, Tuple, Type, Dict
from guapow.common import class_util
from guapow.common.model import CustomEnum, ProfileFile, FileModel
def rgetattr(obj, attr, *args):
def _getattr(obj, attr):
return... |
import re
import reversion
from django.conf import settings
from django.contrib.auth.models import User
from django.contrib.contenttypes.fields import GenericForeignKey, GenericRelation
from django.contrib.contenttypes.models import ContentType
from django.db import models
from crum import get_current_request
from dja... |
import os
import sys
import numpy as np
import torch
import torch.distributed as dist
from torch.nn.parallel import DistributedDataParallel as DDP
import torch.multiprocessing as mp
import torchvision as tv
from mlpug.examples.documentation.shared_args import base_argument_set, describe_args
# Import mlpug for Pyt... |
"""
~ guild ~
This module contains the class defitions for all things
regarding the guild and also defines a USER class from the
BaseGUILD class.
"""
from contextlib import suppress
from typing import Literal, Union, List
from .tracing import *
from .const import *
from .message import... |
# Copyright (c) 2018 FlashX, LLC
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distrib... |
"""
module for window to query a documents source.
query string search syntax:
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-query-string-query.html#query-string-syntax
"""
from __future__ import unicode_literals
from prompt_toolkit.application import Application
from prompt_toolkit.key_bi... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 22 14:40:52 2015
@author: ddboline
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
import pandas as pd
import os
import gzip
imp... |
'''
(*)~---------------------------------------------------------------------------
Pupil - eye tracking platform
Copyright (C) 2012-2018 Pupil Labs
Distributed under the terms of the GNU
Lesser General Public License (LGPL v3.0).
See COPYING and COPYING.LESSER for license details.
------------------------------------... |
# Copyright 2015 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
import inspect
from functools import update_wrapper
from typing import Any, Set, Tuple, Type
from pants.build_graph.address import Address
from pants.engine.internals.objects import Resol... |
#!/usr/bin/env python
from bs4 import BeautifulSoup
import requests
from datetime import date
import pandas as pd
url = 'https://weather.com/en-IN/'
api_key="<KEY>" #obtained from the source code itself.
date_def= date.today() #default date
cho... |
import pandas as pd;
import numpy as np;
import scipy as sp;
import sklearn;
import sys;
from nltk.corpus import stopwords;
import nltk;
import gensim
from gensim.models import ldamodel
import gensim.corpora as corpora
from gensim.utils import simple_preprocess
from gensim.models import CoherenceModel
import gensim.cor... |
import os.path
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
plt.switch_backend('agg') #needed to work on linux
from simulation_params import * #imports variables used in the simulation
#for reference, variables are as follows: simulation_name, training_epochs, display_epochs, timestep, n_... |
#!/usr/bin/env python3
import ipfshttpclient
import Hello_baxter
import typing as tp
import threading
import rospy
import time
import yaml
import cv2
import os
from substrateinterface import SubstrateInterface, Keypair
from sensor_msgs.msg import LaserScan
from sensor_msgs.msg import Image
from cv_bridge import CvBrid... |
import pandas as pd
pd.options.mode.chained_assignment = None # default='warn'
import os
from os.path import expanduser
home = expanduser("~")
from sklearn.externals import joblib
import numpy as np
import sys
from bs4 import BeautifulSoup
import sys
import argparse
import re
import os.path
from os import makedirs
fr... |
'''
terms.py
part of the wordfish python package: extracting relations between terms from corpus
this set of functions works with different plugins (in plugins folder) to produce input terminologies
to search for in corpus
Copyright (c) 2015-2018 <NAME>
Permission is hereby granted, free of charge, to any person ob... |
"""Main Module for the Restaurant-Search"""
import random
from typing import List
from typing import Union
import httpx
from sqlalchemy.orm import Session
from db.crud import filter as crud_filter
from db.crud import restaurant as crud_restaurant
from db.crud import restBewertung as crud_restBewertung
from schemes.ex... |
# pylint: disable=unused-argument
from collections import OrderedDict
import json
import six
from django.conf import settings
from django.test import Client
from django.db import transaction
from . import base, serializers, permissions, filters, decorators as deco
class UserViewSet(base.ModelViewSetSet):
'''
... |
import configparser
import ctypes
import os
import platform
import shutil
import sys
import tempfile
import time
from distutils.util import strtobool
from pathlib import Path
from shutil import copy
from subprocess import CalledProcessError, check_output
from threading import Thread
from unittest import mo... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# =============================================================================
"""cluster_model - Contains model functions for the Graph Clustering
Component"""
# =============================================================================
# Imports
# ==================... |
#!/usr/bin/python
###########################################################################
#
# Copyright 2019 Dell, 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.... |
# -*- coding: utf-8 -*-
###############################################################################
#
# Copyright (c) 2019 HERE Europe B.V.
#
# SPDX-License-Identifier: MIT
#
###############################################################################
import json
import random
import numpy as np
f... |
#!/usr/bin/env python
# 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
# "L... |
import pytest
import numpy as np
import time
from keras_contrib.utils.kito import reduce_keras_model
def compare_two_models_results(m1, m2, test_number=10000, max_batch=10000):
i1 = m1.layers[0].input_shape
i2 = m2.layers[0].input_shape
if i1 != i2:
print('Different input shapes for models {} vs {... |
#%%
"""
Created on July 05 2021
Exposures for an IR swaps, under the Hull-White model - case of netting
This code is purely educational and comes from "Financial Engineering" course by <NAME>
The course is based on the book “Mathematical Modeling and Computation
in Finance: With Exercises and Python and MATLAB... |
import abc
import dataclasses
import re
from typing import List, Optional, Tuple
from . import helpers, inflection
from .helpers import MatchError, ModSet
from .js_function import JsFunction, RustParam
from .js_type import JsType, TypeWithDocumentation
from .models import Context, Documented, ToRust
@dataclasses.dat... |
import pytest
import mock
import random
import string
import os
import sys
myPath = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, myPath + '/../../')
from classes.Http import Http
from classes.Registry import Registry
from classes.kernel.WSException import WSException
from libs.common import file_put_... |
import argparse
import os
from operator import itemgetter
import torch
from NVLL.data.lm import DataLM
from NVLL.model.nvrnn import RNNVAE
from NVLL.util.util import GVar
def load_args(path, name):
with open(os.path.join(path, name + '.args'), 'rb') as f:
args = torch.load(f)
return args
def load_... |
#/Users/berk/Computational Vaccine Design/MHCIAnalysis.py
#5/18/2021
#In this script, the MHCI binders dataset from the Immune Epitope Dataset will be analyzed. First, the dataset will be cleaned up - duplicates removed and epitopes categorized by protein. Next, MHCI binding predictions will be run on the data and the ... |
import tensorflow as tf
import pickle
import numpy as np
from collections import Iterable
import pprint
import os
import datetime
import random
from tensorflow.python.training import moving_averages
from enum import Enum
from abc import ABC, abstractmethod
def axes_wo_the_last(x):
return list(range(len(x.get_shap... |
"""
API Definition helpers for user apps
"""
import inspect
from functools import partial
from typing import Optional, List, Type, Dict, Callable, Union, Tuple, Any, TypeVar
import re
import typing_inspect # type: ignore
from hopeit.dataobjects import BinaryDownload
from hopeit.app.config import AppConfig, AppDescri... |
"""Adds config flow for GarbageCollection."""
import uuid
from collections import OrderedDict
from typing import Dict
import homeassistant.helpers.config_validation as cv
import homeassistant.util.dt as dt_util
import voluptuous as vol
from homeassistant import config_entries
from homeassistant.const import CONF_NAME
... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
"""=================================================================
@Project : Algorithm_YuweiYin/LeetCode-All-Solution/Python3
@File : LC-2039-The-Time-When-the-Network-Becomes-Idle.py
@Author : [YuweiYin](https://github.com/YuweiYin)
@Date : 2022-03-20
============... |
from string import repr
from graph import Graph, Digraph
class Token:
__slots__ = []
def __init__(self): pass
class TokenEnd(Token):
__slots__ = []
def __init__(self): pass
class TokenName(Token):
__slots__ = ['value']
def __init__(self, value): self.value = value
class TokenString(Token):
... |
#!/usr/bin/python
# -*- coding: UTF-8 -*-
import pandas as pd
from sklearn.preprocessing import StandardScaler
class PreprocessData:
def readData(self,file):
df = pd.read_csv(file)
return df
def writeData(self,df,file,):
df.to_csv(file,index=False)
def dropColumns(self,df,column... |
import math
import osmnx as ox
import matplotlib.pyplot as plt
import numpy as np
import geopy.distance
import imageio
from timeit import default_timer as timer
import pandas as pd
import seaborn as sns
import scipy
from scipy.stats import norm
import requests
import json
import os
from os.path import j... |
'''
ResNet-like CNN models.
@author <NAME>
'''
import tensorflow as tf
from tensorflow.contrib.tpu.python.tpu import tpu_config
from tensorflow.contrib.tpu.python.tpu import tpu_estimator
from tensorflow.contrib.tpu.python.tpu import tpu_optimizer
import numpy as np
import time
import resnet_model
tf.flags.DEFINE_b... |
"""
Functions to create graph visualizations of WNTR networks
"""
## TODO:
# - [nothing at the moment, JJS 1/25/21]
import numpy as np
import wntr
import networkx as nx
import pandas as pd
import warnings
import matplotlib
from matplotlib import cm, colors, colorbar, pyplot
import PyPDF2
import os
def build_graph(... |
import numpy as np
import gzip
import pickle as cp
import pickle
from copy import deepcopy
import matplotlib.pyplot as plt
plt.rcParams['text.usetex'] = True
import matplotlib as mpl
mpl.rcParams['font.size'] = 12
mpl.rcParams['text.usetex'] = True
mpl.rcParams['text.latex.preamble'] = r'\usepackage{{amsmath}}'
'''
... |
#
# 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/LICENSE-2.0
#
# Unless required by applicable law or agreed to... |
import sc2reader
import matplotlib.pyplot as plt
import numpy as np
def worker_created(replay, player_id):
workers = []
for event in replay.events:
if event.name == "UnitBornEvent" and event.control_pid == player_id:
if event.unit.is_worker:
workers.append(event.s... |
#!/usr/bin/env python3
# Copyright 2020 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Command-line tool for printing class-level dependencies."""
import argparse
from dataclasses import dataclass
from typing import Li... |
import logging
from random import sample
import formatter
import json
import unicodedata
from api_wrapper import CryptoMKT, SurBTC, Orionx
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger(__name__)
class TelegramRequestProcessor:
def __init__(self, github, github_user, github_repo):
se... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@created: 01.08.21
@author: felix
"""
import ast
import inspect
from pathlib import Path
from typing import Any
from typing import List
import click
from strongtyping.docs_from_typing import (
rest_docs_from_typing,
numpy_docs_from_typing,
class_docs_from_... |
"""
Compares 3 versions of LightGBM Inferencing
A - vanilla
B - custom build
C - treelite
to execute:
> python src/pipelines/azureml/lightgbm_inferencing.py --exp-config conf/experiments/lightgbm-inferencing.yaml
"""
# pylint: disable=no-member
# NOTE: because it raises 'dict' has no 'outputs' member in dsl.pipeline ... |
"""Tools for processing the SSE data for the Gaussian Process."""
from __future__ import annotations
from typing import Dict, List, Optional, Union
import numpy as np
import pandas as pd
import pymatgen
from megnet.models import MEGNetModel
from tensorflow.keras import backend as K
from tqdm.contrib import tmap
from... |
import pyglet
from pyglet.gl import *
from robocute.base import *
QUAD_SW = 0
QUAD_SE = 1
QUAD_NE = 2
QUAD_NW = 3
'''
Quad
'''
class Quad(Base):
def __init__(self, texture):
super().__init__()
self.texture = texture
self.width = texture.width
self.height = text... |
"""
Objects and helper functions to help with deterministic model calibration
and statistical inference.
"""
from collections import defaultdict
import warnings
import numpy as np
import scipy.interpolate as inter
import scipy.optimize as opt
import torch
from torch.nn import Module, Parameter
from skopt.space ... |
# (c) 2020-2021, <NAME> @ ETH Zurich
# Computer-assisted Applications in Medicine (CAiM) Group, Prof. <NAME>
"""
This will be called from Create_Dataset to calculate patch indices and return them to fiji for cropping
"""
import os
import site
import sys
import numpy as np
site.addsitedir(os.getcwd())
from utils.cnn... |
# -*- coding: utf-8 -*-
import os
import json
from flask import Flask, render_template, g
app = Flask(__name__)
class DataManager(object):
s_computed_values = None
@staticmethod
def setComputedValues(values):
DataManager.s_computed_values = values
@staticmethod
def getComputedValues():
... |
import sys
import os
import argparse
import logging
import pdb
import numpy as np
from intermol.system import System
import helper_functions
import desmond_driver
import gromacs_driver
import lammps_driver
# global constants
DES_POS = 0
GRO_POS = 1
LMP_POS = 2
N_FORMATS = 3
# Make a global logging object.
logger = ... |
"""
Perform array-wise performance evaluation and plot curves.
Supported types of curves:
- Precision-recall curves
- ROC curve (false positive rate per unit are on the x-axis)
"""
import os
import argparse
from tqdm import tqdm
import matplotlib.pyplot as plt
plt.rcParams['font.family'] = 'serif'
plt.rcPar... |
import numpy as np
import operator
from keras.models import model_from_config, Sequential, Model, model_from_config
import keras.optimizers as optimizers
import keras.backend as K
import time
def clone_model(model, custom_objects={}):
# Requires Keras 1.0.7 since get_config has breaking changes.
config = {
... |
# -*- coding: utf-8 -*-
import click
import logging
from pathlib import Path
from dotenv import find_dotenv, load_dotenv
import time
import json
import os
from halite_agent.api.KaggleClient import KaggleClient
@click.command()
@click.argument('output_filepath', type=click.Path(), default='data/raw/')
def main(output_... |
import argparse
import os
from patch_based import data
from patch_based import models as m
import torch
import torch.optim as optim
import yaml
from patch_based.logger import Logger, ModelLogger
from patch_based.trainers import Trainer
import sys
import numpy as np
from PIL import Image
from patch_based.custom_transfo... |
# Copyright 2015 The TensorFlow 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 applica... |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn.functional as F
from fairseq import metrics, utils
from fairseq.criterions import FairseqCriterion, ... |
# Stuff for reading the data
# -*- coding: UTF-8 -*-
import codecs, os, glob
#from extras import offset_tokenize
#from extras import segment_text
import extras
#from extras import utf8ify
import sys
# this wreaks havoc on the application if used with python3
if sys.version_info < (3,):
reload(sys)
sys.setdef... |
#!/usr/bin/env python3
import site
import sys
new_sys_path = set(sys.path)
for path in site.getsitepackages():
if path in new_sys_path:
new_sys_path.remove(path)
sys.path[0:] = new_sys_path
import os.path
if __name__ == '__main__':
# sys.path.append('/usr/lib/libreoffice/program')
sys.path.appen... |
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