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#! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
Module that contains implementation for DCC tools
"""
from __future__ import print_function, division, absolute_import
import os
import re
import logging
from tpDcc import dcc
from tpDcc.core import tool
from tpDcc.managers import resources, configs
from tpDcc.libs... |
# -*- coding: utf-8 -*-
'''
rosaceae.scorecard
~~~~~~~~~~~~~~~~~~
This module provides functions for credit risk scorecard.
'''
from __future__ import print_function
import re
import pandas as pd
import numpy as np
from math import log, e
from .bins import bin_tree, bin_custom
# raw value transfer to woe value acc... |
#!/usr/bin/env python3
# Copyright (c) 2019 Advanced Micro Devices, Inc. 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
#
#... |
from card import Card
#TODO - restructure Hand vs PokerHand so Hand can be used as a generic class
class Hand(object):
"""In general, Hand object has two sets of cards - public cards (self.cards)
which are shared by a group, and hole cards (__hole_cards) which belong
to the Hand and are not shared or expo... |
from api_emulator.redfish.EventService_api import EventServiceAPI, CreateEventService
from api_emulator.redfish.Chassis_api import ChassisCollectionAPI, ChassisAPI, CreateChassis
from api_emulator.redfish.ComputerSystem_api import ComputerSystemCollectionAPI, ComputerSystemAPI, CreateComputerSystem
from api_emulator.re... |
import torch
import numpy as np
from transformers import BertModel
from sentence_transformers import SentenceTransformer, util
from relevance_model import text_preprocessing, preprocessing_for_bert, bert_predict, BertClassifier
from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSample... |
# Copyright 2008-2010 Nokia Siemens Networks Oyj
#
# 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... |
# !/usr/bin/env python
# title :Train.py
# description :Main script to TRAIN the gaze estimation network
# author :<NAME>
# date :30092018
# version :2.0
# usage :Example (see more @init_main):
# python3 Train.py -t FT_SM_NFEL5836GRU_fold3 -exp NFEL5... |
# -*- coding: utf-8 -*-
import argparse
psr = argparse.ArgumentParser()
psr.add_argument('ipt', help='input file')
psr.add_argument('-o', dest='opt', help='output')
psr.add_argument('-N', dest='NetDir', help='Network directory')
psr.add_argument('--mod', type=str, help='mode of weight', choices=['PEnum', 'Charge'])
ps... |
import pymongo
import datetime
from pprint import pprint
def create():
def add_member(n):
member_collection.update_one(
{"name": n},
{
"$setOnInsert": {"name": n},
},
upsert=True)
name = "*"
print("Enter names of the members...")
... |
#!/usr/bin/env python
#-*- coding: utf-8 -*-
# Created by lhao at 2019-04-21
import cobra
from cobra import Model, Reaction, Metabolite
import os
import pandas as pd
import re
import imp
import My_def
def gpr2log( gpr_i, othergeneset,inset = True, notinset = False, emptyset = '' ):
torf = ''
if not gpr_i :
... |
'''
NMF optimization for dynamic brain networks
Uses cross-validation to find the optimal parameter set for a collection of
network adjacency matrices.
Created by: <NAME>
Change Log
----------
2016/12/25 - Implemented consensus detection
'''
import numpy as np
from . import Utils
nnls = Utils.nnls
matrix_utils = Ut... |
from iminuit._core import (
FCN,
MnUserParameterState,
MnUserTransformation,
MnMigrad,
MnStrategy,
MnScan,
FunctionMinimum,
MnSimplex,
MnPrint,
MnUserCovariance,
MinimumState,
)
from pytest import approx
import pytest
import pickle
@pytest.fixture
def debug():
prev = Mn... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018/11/20 15:05
# @Author : bxf
# @File : API_IMP_OPT.py
# @Software: PyCharm
from model.util.PUB_LOG import *
from openpyxl import load_workbook
from model.util.newID import *
from model.util.PUB_RESP import *
from model.util.PUB_DATABASEOPT i... |
import os
import click
import numpy as np
import json
import copy
from mpi4py import MPI
from baselines import logger
from baselines.common import set_global_seeds, tf_util
from baselines.common.mpi_moments import mpi_moments
import baselines.her.experiment.config as config
from baselines.her.rollout import RolloutWo... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import ... |
from django.db.models import Q
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.core.urlresolvers import reverse
from django.shortcuts import get_object_or_404, redirect
from django.utils.decorators import method_decorator
from django.views.generic import DetailV... |
#!/usr/bin/python3
import os
import sys
import argparse
import subprocess
import datetime
import perfscrape
import responsetimescrape
from htmconfig import ConfigureHTM
from cycconfig import ConfigureCycles
###############################################################################
# Initialization
#############... |
import shutil
import os
from django.core.files.uploadedfile import SimpleUploadedFile
from django.core.management import call_command
from django.urls import reverse
from django.conf import settings
import pytest
from geocontrib.models.project import Project
from geocontrib.models.user import UserLevelPermission
from... |
# This file is part of rinohtype, the Python document preparation system.
#
# Copyright (c) <NAME>.
#
# Use of this source code is subject to the terms of the GNU Affero General
# Public License v3. See the LICENSE file or http://www.gnu.org/licenses/.
from io import BytesIO
from itertools import islice
from pathlib i... |
from sys import platform
from shutil import rmtree, copyfile
from random import randint
from os import system, getcwd, path, curdir, chdir, mkdir
from time import sleep, time
from multiprocessing import Process as p
mswin = (platform == "win32")
if mswin:
from subprocess import Popen, REALTIME_PRIORITY_CLASS
else:... |
""" Script to search for similiar files on github """
import os
import requests
import math
import logging
import tempfile
import time
from collections import OrderedDict
import arrow
from server.models import Assignment
from server.extensions import cache
from server import jobs
GITHUB_PAGE_MAX = 6 # Stop after 6 ... |
# -*- coding: utf-8 -*-
import difflib
import numpy as np
import os
import SimpleITK as sitk
import scipy.spatial
# Set the path to the source data (e.g. the training data for self-testing)
# and the output directory of that subject
testDir = '' # For example: '/data/Utrecht/0'
participantDir = '' # For exam... |
import logging
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
import pygame
from camera import *
WALL = 0
FLOOR = 1
START = 2
END = 3
cell_types = ["Wall", "Floor", "Start", "End"]
class Cell:
def __init__(self, x, y, size, c_type=FLOOR):
self.x = x
self.y = y
... |
import argparse
from utils import get_logger
logger = get_logger()
arg_lists = []
parser = argparse.ArgumentParser()
def str2bool(v):
return v.lower() in ('true')
def add_argument_group(name):
arg = parser.add_argument_group(name)
arg_lists.append(arg)
return arg
# Network
net_arg = add_argument_g... |
import numpy as np
import sys
import csv
import copy
import matplotlib
import matplotlib.pyplot as plt
matplotlib.use("pgf")
matplotlib.rcParams.update({
"pgf.texsystem": "pdflatex",
'font.family': 'serif',
'text.usetex': True,
'pgf.rcfonts': False,
})
k=1
def print_optimal_rows(file_name, a,b):
te... |
import json
import os
from os import listdir
import os.path as osp
import pickle
import time
from collections import OrderedDict, Counter
import argparse
import numpy as np
import pathlib
import joblib
from gym.wrappers.monitoring.video_recorder import VideoRecorder
from TeachMyAgent.run_utils.environment_args_handle... |
import warnings
warnings.simplefilter(action='ignore', category=FutureWarning)
import os
import os.path as osp
import numpy as np
import json
import provider
from sklearn.model_selection import train_test_split
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
TRAIN_FILES_MODELNET = provider.getDataFiles( \
... |
import os
import subprocess as sp
from pathlib import Path
import parmed as pmd
systems = """./a-bam-p
./a-bam-s
./a-but-p
./a-but-s
./a-cbu-p
./a-chp-p
./a-cbu-s
./a-chp-s
./a-cpe-p
./a-coc-p
./a-coc-s
./a-cpe-s
./a-hep-p
./a-ham-s
./a-ham-p
./a-hep-s
./a-hp6-p
./a-hex-p
./a-hex-s
./a-hp6-s
./a-hx2-p
./a-hpa-s
./a-h... |
from __future__ import print_function
import torch
# Quantization related import
from aimet_torch.quantsim import QuantizationSimModel
from aimet_common.utils import AimetLogger
import logging
from aimet_torch.cross_layer_equalization import equalize_model
import sys
import os
import argparse
import num... |
#!/usr/bin/env python3
from WellKnownHandler import WellKnownHandler
from WellKnownHandler import TYPE_UMA_V2, KEY_UMA_V2_RESOURCE_REGISTRATION_ENDPOINT, KEY_UMA_V2_PERMISSION_ENDPOINT, KEY_UMA_V2_INTROSPECTION_ENDPOINT
from flask import Flask, request, Response
from werkzeug.datastructures import Headers
from random... |
# --
# Copyright (c) 2008-2021 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
# --
from __future__ import absolute_import
import logging
import logging.config
import traceback
fr... |
"""
This file was used to manually but quickly label all the source csv files.
It shows a schema, asks if you actually want to use this schema (you can discard it if it is not usable).
It then asks per column if you want to use/discard the column, and what the new column name should be.
All csv files are then ... |
# Processing to create the sentence dictionary, which has the form:
# 'text': 'narrative_text',
# 'LOCS': ['location1', ...], 'TIMES': ['dates_or_times1', ...], 'EVENTS': ['event1', ...],
# 'subjects': [{'subject_text': 'subject_text', 'subject_type': 'type_such_as_SINGNOUN'},
# {'subject_text'... |
from ..deps import *
router = APIRouter(
prefix = "/admin",
tags = ["Admin"],
include_in_schema = False
)
@router.get("/console")
async def admin_dashboard(request:Request, stats: Optional[int] = 0):
if "userid" in request.session.keys() or stats == 1:
if "userid" in request.session.keys() and... |
"""Multiprocessing utilities around Queues.
Note this could potentially be simplified by using a multiprocess.Pool,
but the ability to debug specific cases and error messages is less straightforward.
These utilities are structured to be compatible with the multiprocessing implementation in Assignment.py,
but ha... |
import math as maths
from datetime import datetime, timedelta
from operator import attrgetter
from random import randrange
from time import time
from flask import current_app
from app.extensions import db
from app.default.models import Activity, Machine, ScheduledActivity
from config import Config
def complete_last... |
import os, sys
import os.path as osp
import argparse
import warnings
import time
import numpy as np
from utils import paired_transforms_tv04 as p_tr
from PIL import Image
from skimage.io import imsave
from skimage.util import img_as_ubyte
from skimage.transform import resize
import torch
from models.get_model import g... |
# / ┌─────────────┐ \ #
# |==│ By BitExpo3 │==| #
# \ └─────────────┘ / #
import socket
import threading
import sys
import json
import curses
from curses import wrapper
import yaml
import os
wmain = None
wside = None
wbar = None
winy, winx = None, None
state = ""
# Official server IP & PORT coming soon!
SERVER =... |
from __future__ import print_function
import xml.etree.ElementTree as Tree
import sys
def eprint(*args, **kwargs):
print(*args, file=sys.stderr, **kwargs)
AMQP_TO_ZIG = {
'longstr': "[]const u8",
'bit': "bool",
'longlong': "u64",
'short': "u16",
'table': "Table",
'l... |
"""Deep Q learning graph
The functions in this file can are used to create the following functions:
======= act ========
Function to chose an action given an observation
Parameters
----------
observation: object
Observation that can be feed into the output of make_obs_ph
stochastic: bool... |
"""
Custom multihead attention.
We overwrite torch.nn.MultiHeadAttention's forward to use custom_multi_head_attention_forward instead of
torch.nn.functional.multi_head_attention_forward.
Code is taken and adapted from https://github.com/pytorch.
"""
from torch import Tensor
from torch.nn import MultiheadAttention
impo... |
"""
Copyright (c) 2015 Red Hat, Inc
All rights reserved.
This software may be modified and distributed under the terms
of the BSD license. See the LICENSE file for details.
"""
from flexmock import flexmock
from textwrap import dedent
import pycurl
import six
import time
import json
from osbs.http import HttpResponse... |
#!/usr/bin/python3
# coding: utf-8
# In[1]:
RunActualDB = True
from Private_Pkgs.DataRecordingUtils import drutils
import sys
import json
import datetime
import time
import random
import statistics
import pprint
import math
print("Current Python version: ", sys.version_info[0],".",sys.version_info[1],".",sys.version... |
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... |
# Standard library imports
import argparse
import os
import sys
from multiprocessing.dummy import Pool
# Third party imports
import redis
# Local imports
from parsers.city import CityParser
from parsers.hotel import HotelParser
from parsers.overall import overall_review_numbers
from parsers.restaurant import Restaura... |
"""This module contains plotly visualizations."""
import plotly.graph_objs as go
import plotly.io as pio
OPACITY = 0.7
COLORS = ['rgba(0,0,51,{})', 'rgba(94,12,35,{})', 'rgba(4,103,103,{})',
'rgba(128,128,128,{})']
FILL_COLORS = [color.format(OPACITY) for color in COLORS]
HISTOGRAM_COLORS = ['rgba(94,12,35,{... |
"""
The Config container is a typed dict-like class to store application's config.
"""
from collections import ChainMap, UserDict, OrderedDict
import copy
import inspect
import logging
from typing import Any, Callable, ClassVar, Dict, Generic, GenericMeta, Iterable, Hashable, Optional, Type, TypeVar, Union, get_type_hi... |
import turtle
import time
import random
from random import randint
from pygame import mixer
mixer.init()
sound1 = "sounds/impact_snowball_hit_wall.mp3"
sound2 = "sounds/zapsplat_sport_squash_ball" \
"_catch_in_hand_001_17896.mp3"
impact = mixer.Sound(sound1)
impact_2 = mixer.Sound(sound2)
mixer.music.load("os... |
import pathlib
from typing import Any, Callable, Dict, Optional, Tuple, Union
from pydantic import BaseModel
module_path = pathlib.Path(__file__).parent.absolute()
Layer = Tuple[int, int]
LayerSpec = Union[int, Layer, str, None]
def make_empty_dict() -> Dict[str, Callable]:
return {}
class LayerMap(BaseModel)... |
# Goal:
# Make a junction temperature measurement on an LED using the Electrical Test Method specified by the Joint Electron Device Engineering Council
#
# Expectation:
# 1.) A K-factor will be measured by comparing voltages at two controlled temperatures
# 2.) The LED will be heated using its operational current unti... |
#!/usr/bin/python3
# -*- coding: utf8 -*-
# Copyright (c) 2020 Baidu, Inc. 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... |
from typing import Union, List, Dict, Any, Sequence, Iterable, Optional
import re
reCommaWhitespacePotentiallyBreaks = re.compile(r",\s+")
def dictString(d: Dict, brackets: Optional[str] = None):
s = ', '.join([f'{k}={toString(v)}' for k, v in d.items()])
if brackets is not None:
return brackets[:1]... |
import re
import struct
import typing
from typing import List
from hashlib import sha256
from decimal import Decimal
from hub.schema.base58 import Base58
from hub.schema.bip32 import PublicKey
from hub.common import hash160, hash_to_hex_str, double_sha256
from hub.scribe.transaction import TxOutput, TxInput, Block
from... |
import warnings
import os
import gc
import numpy as np
import scipy.ndimage.morphology as scipy_morph
import scipy.ndimage.measurements as scipy_meas
from skimage.filters import gaussian, threshold_otsu
from skimage.morphology import remove_small_objects
from skimage.exposure import adjust_gamma
from glob import glo... |
from functools import partial
import tkinter as tk
import tkinter.ttk as ttk
from typing import Callable, List, Tuple, Type, Union
from threading import Thread
from src.pages.BasePage import BasePage
from src.utils.utils import ensureOnScreen
from src.models.dummy import Model
from src.utils.State import State
from sr... |
'''
These functions generate combinations and permutations in lexical order.
******************************************************
* *
* WARNING: These functions are not reentrant! *
* *
**... |
# coding: utf-8
from __future__ import unicode_literals, absolute_import
import json
from collections import namedtuple
from itertools import chain
import csv
import re
from datetime import datetime
from django.http import HttpResponse, JsonResponse
from django.utils.module_loading import import_string
try:
from... |
# The 6.00 Word Game
import random
import string
VOWELS = 'aeiou'
CONSONANTS = 'bcdfghjklmnpqrstvwxyz'
# Do not assume that there are always 7 letters in a hand!
# The parameter n is the number of letters required for a bonus score
# (the maximum number of letters in the hand). Our goal is to keep the code modular.
H... |
#!/usr/bin/env python
import datetime
import json
import logging
import os
import traceback
from functools import partial
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List
import yaml
from pandas import DataFrame, Int32Dtype, concat, isna, read_csv
# ROOT directory
ROOT = Path(os.path.d... |
"""
Metrics for determining the quality of generated and reconstructed images.
Author: <NAME>
Date: 28-07-2020
Updated: 10-11-2020
"""
import numpy as np
import os
import tensorflow as tf
from StyleALAE.data import *
# FID
# from tensorflow.keras.applications.inception_v3 import InceptionV3
from tensorflow.keras.ap... |
from ctypes import *
import math
import random
import os
import cv2
import numpy as np
import time
def sample(probs):
s = sum(probs)
probs = [a/s for a in probs]
r = random.uniform(0, 1)
for i in range(len(probs)):
r = r - probs[i]
if r <= 0:
return i
return len(probs)-... |
import PySimpleGUI as sg
"""
PySimpleGUI is designed & authored in Python to take full advantage the awesome Python constructs & capabilities.
Layouts are represented as lists to PySimpleGUI. Lists are fundamental in Python and have a number of powerful
capabilities that PySimpleGUI exploits.
M... |
import numpy as np
import torch
import torch.nn as nn
from .distributions import Bernoulli, Categorical, DiagGaussian
from .utils import init
class Flatten(nn.Module):
def forward(self, x):
return x.view(x.size(0), -1)
class Policy(nn.Module):
def __init__(self, obs_shape, action_space, base=None, ... |
import scann
from argparse import ArgumentParser
from pl_bolts.models.self_supervised import SimCLR
from pl_bolts.models.self_supervised.resnets import resnet18
from pl_bolts.models.self_supervised.simclr.transforms import SimCLREvalDataTransform, SimCLRTrainDataTransform
from pathlib import Path
import torch
import os... |
# ------------------------------------------------------------------------------
# CodeHawk Java Analyzer
# Author: <NAME>
# ------------------------------------------------------------------------------
# The MIT License (MIT)
#
# Copyright (c) 2016-2020 Kestrel Technology LLC
#
# Permission is hereby granted, free of... |
from enum import Enum, auto, unique
import datetime as dt
import math
from .calculations import time_zenith, time_altitude, time_shadow_factor
@unique
class CalculationMethod(Enum):
ISNA = auto()
MWL = auto()
EGYPT = auto()
TEHRAN = auto()
JAFARI = auto()
MAKKAH = auto()
KARACHI = auto()
... |
## Script written by <NAME>.
## Last edited on 18/02/2020.
## BOSS-V algorithm.
# Copyright (c) 2020, the BOSS-V author (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE)
import numpy as np
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler, MinMaxScaler
# ... |
import unittest
import inspect
import os
from random import randint, uniform
from nwlattice import planes, base
class PlaneObjectsTest(unittest.TestCase):
"""convenient base class for every other test in this module"""
def setUp(self) -> None:
self.plane_types = self.get_all_plane_objects()
s... |
import itertools
import os
import enum
import pickle
import logging
import numpy as np
import pandas as pd
import sklearn.metrics as metrics
from util import read_geotiff, Image
from feature import Feature
from groundtruth import create_mask, create_groundtruth, reshape_image
from matplotlib import pyplot as plt
from... |
from __future__ import absolute_import, print_function
import numpy as np
import pandas as pd
import unittest
import os
import os.path
import logging
import src.lib.OptimizationAlgo as OA
import src.lib.NeuralNetwork as NN
import src.lib.Layer as Layer
import src.lib.Activation as AC
import src.lib.LossFun... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = "<NAME>"
__doc__ = r"""
Created on 09-12-2020
"""
from pathlib import Path
from typing import Iterable
import numpy
import torchaudio
from draugr.random_utilities.seeding import numpy_seed
from draugr.numpy_utilities import zero_pad_... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2018 <NAME> <<EMAIL>>
#
# Distributed under terms of the MIT license.
"""
"""
from __future__ import print_function, division
import sys, os, time
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotl... |
#/usr/bin/env python3
import socket
import sys
import os
import select
import pickle
import signal
import datetime
import math
import time
#Note: We declare here the server descriptor and the log file to be "global variables"
# and that these can be accessed by the CTRL + C handler and the connection... |
# -*- coding: utf-8 -*-
"""
Copyright © 2018 Approximator. All rights reserverd.
Author: Approximator (<EMAIL>)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/L... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
"""=================================================================
@Project : Algorithm_YuweiYin/LeetCode-All-Solution/Python3
@File : LC-0279-Perfect-Squares.py
@Author : [YuweiYin](https://github.com/YuweiYin)
@Date : 2022-02-24
===================================... |
import numpy as np
import pandas as pd
import warnings
## Plotting libraries
import seaborn as sns
import matplotlib.pyplot as plt
## Sklearn Libraries
from sklearn.utils import shuffle
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import label_binarize
from sklearn.model_selection impor... |
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distrib... |
from tensorflow.keras import layers
import tensorflow_addons as tfa
from tensorflow import keras
import tensorflow as tf
from datetime import datetime
import matplotlib.pyplot as plt
import numpy as np
import random
# Setting seeds for reproducibility.
SEED = 100
tf.random.set_seed(SEED)
np.random.seed(SEED)
random.s... |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... |
"""
GIF picture parser.
Author: <NAME>
"""
from lib.hachoir_parser import Parser
from lib.hachoir_core.field import (FieldSet, ParserError,
Enum, UInt8, UInt16,
Bit, Bits, NullBytes,
String, PascalString8, Character,
NullBits, RawBytes)
from lib.hachoir_parser.image.common import PaletteRGB
from lib.h... |
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import gaussian_kde as kde
from mpl_toolkits.axes_grid1 import make_axes_locatable
import pylab as pl
from scipy.interpolate import LSQUnivariateSpline as interpolate
from .statistic import PDF, PowerSpectrum, Moments
def plot_powerspectrum(cmb_mapse... |
#!/usr/bin/python3.6
# -*- coding: utf-8 -*-
""" <NAME> Optical Flow
and Dense Optical Flow
You can select both of them from
command line.
"""
# Idea from: https://docs.opencv.org/3.4/d4/dee/tutorial_optical_flow.html
# http://www.inf.fu-berlin.de/inst/ag-ki/rojas_home/documents/tutorials/Lucas-Kanade2.p... |
from __future__ import division
from collections import OrderedDict
import numpy as np
from io import BytesIO
import scipy as sp
import scipy.stats
import copy
import sys
#names and data.
#after cpy. del dct[key]
#dct.keys().index('keyval')
#name_dict structure : OrderedDict( [ ('result', ['p', 'e']), ('cap-shape', ['... |
""""
This is a saved model run from natcap.invest.carbon.carbon_combined.
Generated: 07/05/16 15:08:53
InVEST version: 3.3.0
"""
import arcpy
import natcap.invest.carbon.carbon_combined
import os
import shutil
import sys
arcpy.env.overwriteOutput = True
workspace_dir = arcpy.env.scratchFolder
def GetArgs():
do... |
from __future__ import print_function
import os
import time
from datetime import datetime
import math
import argparse
import logging
import pickle
import yaml
import cv2 as cv
import numpy as np
# from skimage.measure.simple_metrics import compare_psnr
import torch
import torch.nn as nn
import torch.optim as optim
im... |
# Copyright 2017 Google Inc. 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 a... |
import functools
import time
from collections import Counter
from math import ceil
from os.path import abspath, dirname, join
import numpy as np
from matplotlib import pylab as pyl
from matplotlib import pyplot as plt
N = 5
M = 20
K = 5
DICT_LIMIT = 10000000 # M * N * K * number_of_increasing_partitions(N, M)
PRINT_... |
# coding: utf-8
from __future__ import unicode_literals
from .common import InfoExtractor
from ..utils import (
compat_str,
ExtractorError,
int_or_none,
str_or_none,
url_or_none,
)
import re
class EurozetArticleIE(InfoExtractor):
IE_NAME = 'eurozet:article'
_VALID_URL = r'https?://(?:[a-z... |
import ipaddress
import os
import sys
import subprocess
from collections import OrderedDict
import datetime
import json
other_proto = set()
def parse_packet_head(line):
'''
Parses the head of the packet to get the key tuple which contains
the flow level data
Args:
line: Header line from tcpd... |
import numpy
from btypes.big_endian import *
import gx
import logging
logger = logging.getLogger(__name__)
class Header(Struct):
magic = ByteString(4)
section_size = uint32
shape_count = uint16
__padding__ = Padding(2)
shape_offset = uint32
index_offset = uint32
unknown0_offset = uint32
... |
#!/usr/bin/python
import argparse
import os
import sys
import pdf2image
# from PIL import Image
import PyPDF2
import pytesseract
import logman
Args = None
def print_help_and_exit(code=1):
if Args is not None:
Args.print_help(sys.stderr)
else:
logman.error('Args was None, exiting ..')
s... |
# -*- coding: utf-8 -*-
"""
Unit tests for the Open Babel methods
"""
import os
import pybel
import unittest
from mdstudio_structures.cheminfo_pkgmanager import CinfonyPackageManager
from mdstudio_structures.cheminfo_molhandle import mol_addh, mol_make3D, mol_read, mol_removeh, mol_write
toolkits = CinfonyPackageMa... |
import argparse
import datetime
import os
import time
import uuid
import numpy as np
import pandas as pd
import torch
import torch.nn as nn
from sklearn.model_selection import train_test_split
from torch.utils.tensorboard import SummaryWriter
from torch.utils.data import DataLoader, Dataset
from torch.utils.data.datas... |
import sys
import os, os.path
from io import open
import glob, time
from lark import Lark
from lark.indenter import Indenter
from lark import tree
import json
import tokenize
from tokenize import tok_name
import keyword
functionDefDict = {}
allCalls = []
# __path__ = os.path.dirname(__file__)
class PythonIndenter(Ind... |
"""
This file is part of YAOS and is licenced under the MIT licence.
Common utilities used by multiple submodules.
"""
import gettext
gettext.bindtextdomain('yaosapp', '/lang')
gettext.textdomain('yaosapp')
_ = gettext.gettext
import gi
gi.require_version('Gtk', '3.0')
from gi.repository import GdkPixbu... |
"""Bot events"""
import re
import sys
import traceback
from datetime import datetime
import discord
import tldextract
from discord.ext import commands
from mergedeep import merge
from koabot.cogs.botstatus import BotStatus
from koabot.cogs.imageboard import ImageBoard
from koabot.cogs.reactionroles import ReactionRol... |
from rlf.algos.il.gail import GailDiscrim
import torch
import torch.nn as nn
from functools import partial
import rlf.il.utils as iutils
from rlf.algos.nested_algo import NestedAlgo
from rlf.algos.on_policy.ppo import PPO
from rlf.il.transition_dataset import TransitionDataset
import rlf.rl.utils as rutils
from torch.u... |
import asyncio
import logging
import os
import sys
from argparse import SUPPRESS, ArgumentParser
from typing import Callable, Dict, Mapping
import yaml
from aioregistry import (
AsyncRegistryClient,
ChainedCredentialStore,
DockerCredentialStore,
default_credential_store,
)
from tplbuild.cmd.base_build... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2018 theloop 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 requ... |
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