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import logging
import os
from typing import Union
import numpy as np
import torch
import torch.nn as nn
from deepethogram import utils
from deepethogram.feature_extractor.models.CNN import get_cnn
from deepethogram.flow_generator import models as flow_models
from .utils import Fusion, remove_cnn_classifier_layer
flo... |
import os
import sys
import torch
from pytorch_lightning.callbacks import ModelCheckpoint
from sacred.config_helpers import DynamicIngredient, CMD
from torch.nn import functional as F
import numpy as np
from ba3l.experiment import Experiment
from ba3l.module import Ba3lModule
from torch.utils.data import DataLoader
... |
# -*- coding:utf-8 -*-
# ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# ... |
import os
import kaa
from kaa import document, encodingdef, utils, consts
from kaa.ui.dialog import dialogmode
from kaa.ui.selectlist import selectlist
from kaa.ui.itemlist import itemlistmode
from kaa.ui.inputline import inputlinemode
from kaa.ui.msgbox import msgboxmode
from kaa.command import commandid
from kaa.co... |
""" Class to work with Salesforce Metadata API """
import os
from base64 import b64encode, b64decode
from xml.etree import ElementTree as ET
from .util import call_salesforce
from .messages import DEPLOY_MSG, CHECK_DEPLOY_STATUS_MSG,\
CHECK_RETRIEVE_STATUS_MSG, RETRIEVE_MSG
from zeep import Client, Settings
class... |
import numpy as np
import librosa
import os
from tensorflow.python.framework import tensor_util
import tensorflow as tf
from tensorflow.python.platform import gfile
from tensorflow.core.framework import graph_pb2
import operator
import itertools
from numpy import inf
#### Load Data ####
# windowing fft/ifft function
... |
#endstop locations
def check_adj_nodes(dimensionsu, dimensionsv):
for i in range(5):
if abs(dimensionsu[i] - dimensionsv[i]) == 1:
for k in range(5):
if i != k:
if dimensionsu[k] == dimensionsv[k]:
return True
return False
def... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
roslaunch my_pkg ur5_bringup.launch
turn on external program on teach pendant!!
roslaunch pylon_camera pylon_camera_node.launch
roslaunch aruco_ros single_pylon.launch
rosrun my_pkg ibvs_eye2hand_hololens.py
yxj 20210826
'''
import rospy
from std_msgs.msg import Strin... |
""""""
import os
import sys
import time
import shutil
import string
import logging
import argparse
import datetime
from pathlib import Path
from typing import Optional
import tweepy
import sqlalchemy as sqla
from sqlalchemy.orm import sessionmaker, Session
import chainblocker
LOGGER = logging.getLogger(__name__)
L... |
"""Additional functions used for the simulation experiments.
To be ingrated into struct_lmm2._simulate?"""
#===============================================================================
# Imports
#===============================================================================
from collections import namedtuple
from ... |
"""pytest fixtures for kubespawner"""
import asyncio
import base64
import inspect
import io
import logging
import os
import sys
import tarfile
import time
from functools import partial
from threading import Event
from threading import Thread
import kubernetes_asyncio
import pytest
import pytest_asyncio
from jupyterhub... |
import os
from collections import OrderedDict
from labchain.network.networking import TransactionDoesNotExistException, BlockDoesNotExistException, BlockDoesNotExistException,NoPeersException
from labchain.datastructure.transaction import Transaction
from labchain.datastructure.txpool import TxPool
from labchain... |
import os
import io
import mmap
from glob import glob
import itertools
import numpy as np
import argparse as ap
import concurrent.futures as cf
import time
from queue import Queue as Queue
import torch.cuda.nvtx as nvtx
import copy
from mpi4py import MPI
from mpi4py.util import dtlib
import torch
import io_helpers as... |
#!/usr/bin/python
#
# Copyright 2018, International Business Machines 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 req... |
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from sklearn.tree import DecisionTreeClassifier, _tree
import seaborn as sns
import gc
import math
def get_grouped_data(
input_data,
feature,
target_col,
bins,
cuts=0,
is_train=0):
"""
:... |
from hdfs import InsecureClient
from io import StringIO
import json
import numpy as np
from operator import add
import os
import pandas as pd
from pyspark import SparkConf, SparkContext, StorageLevel
import sys
def list_dir(file_path, hdfs_client=None, use_hdfs=False):
"""Lists all the files inside the directory ... |
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Tests for miscellaneous behaviors of the top-level L{twisted} package (ie, for
the code in C{twisted/__init__.py}.
"""
from __future__ import division, absolute_import
import re
import sys
from types import ModuleType, FunctionType
from twi... |
import numpy as np
import torch
import scipy.optimize as opt
import time
from .optimizer import Optimizer
from ..ml.trainer_robot import TrainerRobot
from ..ml.models import RobotNetwork, RobotSolver
from .. import arguments
from ..graph.visualization import scalar_field_paraview
class OptimizerRobot(Optimizer):
... |
##
## Script to Build CORE UEFI firmware
##
##
## Copyright Microsoft Corporation, 2015
##
IgnoreList = [ "nt32pkg.dsc", #NT32 pkg requires windows headers which are not supplied on build system
"Nt32PkgMsCapsule.dsc", #NT32 capsule pkg requires windows headers which a... |
"""
Fast R-CNN:
data =
{'data': [num_images, c, h, w],
'rois': [num_rois, 5]}
label =
{'label': [num_rois],
'bbox_target': [num_rois, 4 * num_classes],
'bbox_weight': [num_rois, 4 * num_classes]}
roidb extended format [image_index]
['image', 'height', 'width', 'flipped',
'boxes', 'gt_classe... |
#!/usr/bin/env python
"""
This module contains classes and functions for reading and writing files
in different formats for MD simulations including so-named "_at_" format
for intrinsic MD codes from BSU laboratory of theoretical investigations
and computer modeling.
The reading is made to the structure class
The ... |
from __future__ import (absolute_import, division)
import os, subprocess, pdb
import numpy as np
import seaborn as sns
sns.set(style='ticks', font_scale=1.4, palette='Set2')
def qa_montage_coadds(objid, objdir, htmlobjdir, clobber=False, verbose=True):
"""Montage the coadds into a nice QAplot."""
montagefil... |
def process_input(file_contents):
grid = [0]*7
for i in[3,5,7,9]:
for j in [2,3]:
grid.append(file_contents[j][i])
return tuple(grid)
def find_neighbors_star1(current_node,goals,paths,distance):
neighbors = list()
neighbor_dict = dict()
multiplier = {'A':1, 'B':10, 'C':100... |
from typing import Callable, List, Any, Dict, Optional
from comet_ml import Experiment
from numpy import mod
from torch.optim.optimizer import Optimizer # 必须引入，不然报错
from exp_loggers import init_loggers, get_comet_experiment
import torch
import pytorch_lightning as pl
from data_module import LibriDataModule
from schedu... |
import os
import simtk.unit as unit
import mdtraj as md
import numpy as np
from sklearn.cluster import KMeans, OPTICS, DBSCAN
from sklearn.metrics import silhouette_score, silhouette_samples
from analyze_foldamers.parameters.angle_distributions import *
from analyze_foldamers.ensembles.cluster import *
import m... |
import json
import logging
import voluptuous as vol
from homeassistant.helpers import config_validation as cv
from homeassistant.components.http import HomeAssistantView
from homeassistant.const import (MAJOR_VERSION, MINOR_VERSION)
from homeassistant.auth.const import ACCESS_TOKEN_EXPIRATION
import homeassistant.aut... |
import sys
import json
import gzip
import logging
import time
import operator
import re
import numpy as np
import nltk
from collections import Counter
from features import preprocessor as pp
# Function:
# input
# dictionary of features to extract and the corresponding directory path to relevant files
# output parame... |
import time, gym
import numpy as np
from UTILS.tensor_ops import my_view
from ..core import World, Agent, EntityState
class collective_assultEnvV1(gym.Env):
metadata = {'render.modes': ['human']}
def __init__(self,numguards =5, numattackers = 5, size=1.0):
from ..collective_assult_parallel_run imp... |
"""Parameter optimization functions."""
# Authors: <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
from math import ceil, floor
from collections import OrderedDict
import numpy as np
import scipy.stats as stats
from scipy.optimize import fmin_cobyla
from .network_models import jones_2009_model
from .dipole import _rms... |
import cv2
import glob
import json
import re
import math
import numpy as np
### Module imports ###
import sys
#from modules.reconstruction.Triangulate import Triangulate
class Camera:
"""
Class implementation for representing a camera
"""
def __init__(self, intrinsicPath=None, extrinsicPath=None):... |
import ast, gast
import unittest
from chainer_compiler.elichika.testtools import generate_id2type_from_forward
import chainer
import chainer.functions as F
import chainer.links as L
import numpy as np
class TestNumpy(unittest.TestCase):
def test_numpy_array(self):
class Test():
def forward(se... |
# -*- coding: utf-8 -*-
import xarray as xr
import numpy as np
import pandas as pd
import pathlib
class BaselineDatabase(object):
def __init__(self):
self.line_table = pd.DataFrame(columns=['site','install', 'line', 'instrument_id', 'comment'])
self.instrument_table = pd.DataFrame(columns = ['inst... |
import os
import cv2
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
import preprocess
# Return a list of all image names with a given extension in a given folder
def listImages(dir, extension):
res = []
for img in os.listdir(dir):
if img.endswith(extension):
res... |
import gdspy
import numpy
import colorsys
from PIL import Image, ImageDraw, ImageFont
class ColorDict(dict):
def __missing__(self, key):
layer, datatype = key
rgb = tuple(
int(255 * c + 0.5)
for c in colorsys.hsv_to_rgb(
(layer % 3) / 3.0 + (layer % 6 // 3) ... |
import torch
from torch.utils.data import DataLoader
from torch import nn
from pytorch_transformers import AdamW, WEIGHTS_NAME, WarmupLinearSchedule
import csv
import random
import numpy as np
import os
import logging
from fp16 import FP16_Module, FP16_Optimizer
from parallel import DataParallelModel, DataPar... |
#! /usr/bin/python
# Copyright (c) 2015 <NAME> (<EMAIL>)
#
# This file is part of Nysa.
# (http://wiki.cospandesign.com/index.php?title=Nysa.org)
#
# Nysa is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; eithe... |
"""Module to manipulate objects in Blender regarding CityJSON"""
import json
import time
import sys
import bpy
import idprop
from datetime import datetime
from .material import (BasicMaterialFactory, ReuseMaterialFactory,
CityObjectTypeMaterialFactory)
from .utils import (assign_properties, cl... |
import sys
import math
import numpy as np
import cv2
import os
import _pickle as cPickle
import gzip
import subprocess
import torch
from dtw import dtw
from constants import PAD_TOKEN
# Plot a video given a tensor of joints, a file path, video name and references/sequence ID
def plot_video(joints,
f... |
import zarr
import dask.array as da
import numpy as np
import time
import os
import bz2
import random
from utils import sample_utils, core_gene_utils, diversity_utils, HGT_utils
from parsers import parse_midas_data, parse_HMP_data
import config
def parse_annotated_snps_to_zarr(snp_filename, zarr_dir, total_num_snps, ... |
#
# Copyright (c) 2020 Expert System Iberia
#
"""Credibility reviewer for Tweet
"""
import logging
from esiutils import citimings, bot_describer, dictu, isodate, hashu
from semantic_analyzer import tweetrelsents as tweetsents
from acred import content
from acred.rating import agg
from acred.reviewer.credibility import ... |
#!/usr/bin/env python
# Copyright 2014-2019 The PySCF Developers. 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
#
# U... |
#! /usr/bin/env python
"""
This module provides classes for querying Google Scholar and parsing
returned results. It currently *only* processes the first results
page. It is not a recursive crawler.
"""
# ChangeLog
# ---------
#
# 1.7: Python 3 and BeautifulSoup 4 compatibility, as well as printing
# of usage in... |
#! python3
"""Initial work on a hierarchy scanning module"""
import re
import os
from collections import defaultdict
from timeit import default_timer as timer
start = timer()
DEBUG = False
# Global pattern for valid HDL names.
IDENT_P = r"[a-zA-Z](?:[a-zA-Z0-9]|_(?!_))*[a-zA-Z0-9]*"
# Global methods for buffer manipu... |
from apps.geocode import geocoder
import folium
import copy
import branca.colormap as cm
import json
import streamlit as st
import numpy as np
import pandas as pd
import altair as alt
from datetime import datetime, timedelta
import leafmap.foliumap as leafmap
from vega_datasets import data
import time
from streamlit.s... |
"""An abstraction of a datastore, to use for syncing."""
from abc import ABC, abstractmethod
from collections import OrderedDict
import logging
import psycopg2
from typing import Sequence, TypeVar, Generic, Tuple
ID = TypeVar('ID')
_REV = '_rev'
_ID = '_id'
_DELETED = '_deleted'
logger = logging.getLogger(__name__... |
from PySide2 import QtCore, QtGui, QtWidgets
from OpenGL.GL import *
import OpenGL.GL.framebufferobjects as glfbo
import numpy as np
from ...vendor.pyqtgraph import functions as fn
from ...vendor.pyqtgraph import debug
from ...vendor.pyqtgraph import opengl as gl
from ...opengl import camera
from ...base.data import ma... |
#!/usr/bin/env python3
#
# phase-deuce
# https://github.com/gregkrsak/phase-deuce
#
# Automatically populates a random daily log of customers for businesses offering table service.
# Inspired by Phase 2 of WA State Governor Inslee's COVID-19 reopening plan. Of course, this is
# to be used for testing purposes only!
#
#... |
from .profile import ProfileImpl
import bz2
import copy
import io
import os
import struct
"""
ProfileV2 is a profile data representation designed to keep the
profile data on-disk as small as possible while still maintaining good
access speed, specifically to avoid having to load the entire file to
discover just the in... |
# -*- coding: utf-8 -*-
import cv2
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.image as mpimg
from skimage.feature import hog
# Define a function to compute color histogram features
def color_hist(img, nbins=32, bins_range=(0, 256)):
# Compute the... |
from typing import List, Dict, Optional, Tuple
import numpy as np
from ...math.matrix import Matrix
from ...common.config import Config
from .gjk import PointPair
from ...geometry.geom_algo import GeomAlgo2D
from ...geometry.shape import Circle, Edge, Ellipse, Polygon, Shape, ShapePrimitive
class ProjectedPoint():
... |
import string
import textwrap
from collections import OrderedDict
from collections.abc import Mapping, MutableMapping
from copy import copy
from typing import Optional, Union
import aesara
import aesara.tensor as at
from aesara.assert_op import Assert
from aesara.compile.function.types import Function
from aesara.grap... |
# Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... |
import os
import xlrd
import time
import traceback
import datetime
from django.core.files import File
from Module_TeamManagement.src import utilities
from Module_TeamManagement.models import *
from Module_DeploymentMonitoring.models import *
from Module_CommunicationManagement.src import tele_config
#-----------------... |
# <Copyright 2019, Argo AI, LLC. Released under the MIT license.>
"""Tests for frustum clipping functions."""
import numpy as np
from argoverse.utils.frustum_clipping import (
clip_segment_v3_plane_n,
cuboid_to_2d_frustum_bbox,
fit_plane_to_point_cloud,
form_left_clipping_plane,
form_low_clipping_... |
from functools import partial
from collections import Counter
from django import forms
from django.conf import settings
from django.contrib import admin
from django.contrib.auth import get_user_model
from django.contrib.admin.widgets import FilteredSelectMultiple
from django.db.models import TextField
from django.db i... |
# !/usr/bin/env python
# -*- coding: utf-8 -*-
"""Database functions."""
import os
from datetime import datetime
from json import dumps
from typing import Any
from typing import List
from urllib.parse import quote
from flask import g
from flask_sqlalchemy import SQLAlchemy
from pandas import read_csv
from tqdm import ... |
# Libaries
from tkinter import *
import random
import numpy
import time
from pprint import pprint
################################################################################
################################################################################
############################################################... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright: (c) 2013, <NAME> <<EMAIL>>
# Copyright: (c) 2019, <NAME> (@Andersson007) <<EMAIL>>
# Certain parts are taken from Mark Theunissen's mysqldb module
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import ... |
import numba
import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.utils.validation import check_is_fitted
from vectorizers._window_kernels import _SLIDING_WINDOW_KERNELS, _SLIDING_WINDOW_FUNCTION_KERNELS
@numba.njit(nogil=True)
def sliding_windows(
sequence,
width,
str... |
from numpy import *
import itertools
import time
import sys
from matplotlib.pyplot import *
matplotlib.rcParams['savefig.dpi'] = 100
import pandas as pd
# Import NN utils
from nn.base import NNBase
from nn.math import softmax, sigmoid, make_onehot
from nn.math import MultinomialSampler, multinomial_sample
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
###############################################################################
######################## PERIODIC ANALYSIS FUNCTIONS ##########################
###############################################################################
# This module contains all the ... |
'''
Copyright (c) 2020 <NAME>
This file is part of mac_apt (macOS Artifact Parsing Tool).
Usage or distribution of this software/code is subject to the
terms of the MIT License.
Written by <NAME> & <NAME>
Decrypts APFS volumes
'''
import hashlib
import logging
import struct
from cryptography.ex... |
#!/usr/bin/env python
# fix problems with pythons terrible import system
import sys
import os
file_dir = os.path.dirname(os.path.realpath(__file__))
sys.path.append(os.path.join(file_dir, '../'))
sys.path.append(os.path.join(file_dir, '../../'))
# package imports
import prob2020.python.utils as utils
from prob2020.pyt... |
#!/usr/bin/env python
import os
import json
import sys
import pytest
import datetime
from pickle import UnpicklingError
from decimal import Decimal
from deepdiff import DeepDiff
from deepdiff.helper import pypy3
from deepdiff.serialization import (
pickle_load, pickle_dump, ForbiddenModule, ModuleNotFoundError,
... |
# _*_ coding: utf-8 _*_
import logging
log = logging.getLogger(__name__)
from django.utils.translation import ugettext as _ # , ungettext
from django.utils.encoding import force_text
from django.utils.decorators import method_decorator
from django.contrib.auth.decorators import login_required
from django.contrib impor... |
""" js2esi.token.dtokens
ply.lex token definitions for esi-to-js decompilation
Generates esi-to-js decompilation lexer tokens. Note the following
token naming pattern:
sCOMMAND start ESI open element, eg "<esi:assign"
oCOMMAND opening ESI element without attributes, eg "<esi:vars>"
cCOMMAND closing ESI element... |
'''
Preprocess examples in a dataset and generate data for models.
'''
import random
import re
import time
import os
import numpy as np
#from itertools import izip
from cocoa_folder.cocoa.core.util import read_pickle, write_pickle, read_json
from cocoa_folder.cocoa.core.entity import Entity, CanonicalEntity, is_entit... |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import functools
import logging
import string
import warnings
from collections import defaultdict
from jsonschema.validators import Draft4Validat... |
import pandas as pd
import MDAnalysis as mda
import numpy as np
import matplotlib.pyplot as plt
from enmspring.k_b0_util import get_df_by_filter_bp
from enmspring.na_seq import sequences
from enmspring.spring import Spring
atomname_map = {'A': {'type1': 'N6', 'type2': 'N1', 'type3': 'C2'},
'T': {'type... |
# Copyright 2015 The LUCI Authors. All rights reserved.
# Use of this source code is governed under the Apache License, Version 2.0
# that can be found in the LICENSE file.
"""Wrapper around GCE REST API."""
import re
from components import net
AUTH_SCOPES = [
'https://www.googleapis.com/auth/compute',
]
MAC... |
"""
Runs tests with valid zone files on different implementations.
Either compares responses from mulitple implementations with each other or uses a
expected response to flag differences (only when one implementation is passed for testing).
usage: test_with_valid_zone_files.py [-h] [-path DIRECTORY_PATH]
... |
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""Routines to get corrected p-values estimates, based on the observations.
It implements 3 approaches:
- Benjamini-Hochberg FDR: http://en.wikipedia.org/wiki/False_discovery_rate
- a class that fits a G... |
from __future__ import print_function
from __future__ import division
from builtins import zip
from builtins import range
from builtins import object
from past.utils import old_div
__author__ = 'grburgess'
import collections
import os
import numpy as np
import pandas as pd
from pandas import HDFStore
from threeML.ex... |
#
# -*- coding: utf-8 -*-
# Copyright 2020 Dell Inc. or its subsidiaries. All Rights Reserved
# GNU General Public License v3.0+
# (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# utils
from __future__ import absolute_import, division, print_function
__metaclass__ = type
import socket
import re
import js... |
"""hepdata_lib main."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import shutil
import tarfile
import warnings
from collections import defaultdict
import numpy as np
import yaml
from future.utils import raise_from
# try to use LibYAML bindin... |
import webbrowser
import click
import pytest
from ghutil import git
# Betamax isn't good with parametrization, and parametrizing lengthy output
# would result in very long cassette file names anyway, so no parametrization
# for me.
REPO_LIST = '''\
jwodder/advent350
jwodder/aptrepo
jwodder/awesome-python
jwodder/bi... |
# coding=utf-8
from __future__ import with_statement
import random, threading, time
import pytest
from whoosh import fields, formats, reading
from whoosh.compat import b, u, xrange
from whoosh.reading import SegmentReader
from whoosh.filedb.filestore import RamStorage
from whoosh.util.testing import TempIndex
def _... |
import numpy as np
import scipy as sp
import scipy.stats as st
import scipy.interpolate
import scipy.linalg as la
import pylab as pl
import math
from scipy.stats import multivariate_normal
from sklearn import preprocessing
import statsmodels.api as sm
import pickle
import scipy as SP
import scipy.optimize as opt
de... |
"""
API to the the solver API
Set
VERBOSE = "1"
to generate tracker outputs.
Set
SAVE_INTERMEDIATE = "1"
to store intermediate tracking results to the working directory
"""
import time
import multiprocessing as mp
import math
import copy
import numpy as np
import torch.nn as nn
from src.utilities.decorator... |
#encoding: utf-8
import sys
import numpy as np
import matplotlib as mpl
from mpl_toolkits.basemap import Basemap
import time
from datetime import datetime
#from matplotlib.nxutils import pnpoly
from scipy import interpolate
import pyroms
from . import _interp
def get_lonlat(iindex, jindex, grd, Cpos='rho'):
"""... |
import itertools
from collections import defaultdict
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
import seaborn as sns
from tqdm import tqdm
from gamexplainer.metaforest import MetaForest
def plot_thresholds_hist(explainer, feature_index, ax1=None, bins=None):
"""
Plots a his... |
"""
HappyBase table module.
"""
import logging
from numbers import Integral
from operator import attrgetter
from struct import Struct
from .hbase.ttypes import TScan
from .util import thrift_type_to_dict, str_increment, OrderedDict
from .batch import Batch
logger = logging.getLogger(__name__)
make_cell = attrgetter... |
# coding: utf-8
import time
import ast
import os, threading
from watchdog.observers import Observer
from watchdog.events import *
from watchdog.utils.dirsnapshot import DirectorySnapshot, DirectorySnapshotDiff
import requests
import json, copy
from urllib import parse
from sklearn.feature_extraction.text im... |
"""
monobit.mac - MacOS suitcases and resources
(c) 2019 <NAME>
licence: https://opensource.org/licenses/MIT
"""
import logging
from .binary import friendlystruct, bytes_to_bits
from .formats import Loaders, Savers
from .pack import Pack
from .font import Font, Glyph, Coord
########################################... |
"""
Shared functions among fused or single input type data locading classes
Modified from https://github.com/gurkirt/realtime-action-detection
Author: <NAME>
Date: 22 Feb 2019
"""
import os, pdb
import os.path
import torch,json
import cv2, pickle
import numpy as np
CLASSES = dict()
CLASSES['ucf24'] = ['Basketball',... |
#!/usr/bin/env python3
import subprocess
import os
import sys
import re
import time
import shutil
from typing import List, Set, Optional
JNI_TESTS = "jni_tests"
PYTHON_TESTS = "python_tests"
CPP_TESTS = "cpp_tests"
ANDROID_TESTS = "android-example"
UNIT_TESTS = "unit_tests"
DOC_TESTS = "doc_tests"
RELEASE = "release"... |
#!/usr/bin/env python
# By <NAME>, Environment, Soils, and Land Use Dept., CELUP, Teagasc,
# <NAME>le, Co. Wexford Y35 TC97, Ireland
# email: guy <dot> serbin <at> teagasc <dot> ie
# version 1.1.2
# This script creates Landsat scene processing lists for USGS/EROS/ESPA (https://espa.cr.usgs.gov)
import os, sys, glob,... |
####################################################################
# Interfaces with the NML2 version of the auditory cortex model of Beeman,
# BMC Neuroscience (Suppl. 1), 2013
#
# @author: <NAME>, 10/11/2017
####################################################################
import math
import random
import os
im... |
'''
Frontend for xESMF, exposed to users.
'''
import numpy as np
import xarray as xr
import os
from .backend import (esmf_grid, add_corner, esmf_regrid_build,
esmf_regrid_finalize)
from .smm import read_weights, apply_weights
def get_latlon_name(ds, boundary=False):
if boundary:
t... |
import itertools, os, fastavro, pytest, before_after
from collections import defaultdict
from pymongo.operations import UpdateOne
from ampel.core.AmpelContext import AmpelContext
from ampel.dev.UnitTestAlertSupplier import UnitTestAlertSupplier
from ampel.ingest.ChainedIngestionHandler import ChainedIngestionHandler
f... |
import os
import numpy as np
import tifffile
from numba import jit
from scipy.ndimage.measurements import find_objects
from scipy.ndimage.morphology import binary_fill_holes
def _fill_label_holes(lbl_img, **kwargs):
lbl_img_filled = np.zeros_like(lbl_img)
for l in (set(np.unique(lbl_img)) - set([0])):
... |
# Copyright 2018 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... |
#!/usr/bin/env/python
"""
Usage:
get_paired_zinc_test.py
Options:
-h --help Show this screen.
This script should take two sys.argv arguments
1) A SMI file
2) A string which will be used as the root for the names of the output
Alongside angle and distance, we add our pharmacophoric profile
so... |
"""
Miscellaneous Utilities for Trident
"""
#-----------------------------------------------------------------------------
# Copyright (c) 2016, Trident Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
#--------... |
from warnings import WarningMessage
import numpy as np
from numpy.lib.npyio import save
from cellpose import models
import torch
import cv2
import os,sys,time
import skimage
default_cellpose_kwargs = {
'anisotropy': 1,
'diameter': 40,
'min_size': 500,
'stitch_threshold': 0.1,
}
default_pixel_sizes = [... |
"""
Sponge Knowledge Base
Used for testing a Remote API server and clients.
"""
from java.util.concurrent.atomic import AtomicBoolean
from org.apache.commons.io import IOUtils
from java.time import LocalDateTime
from java.nio.charset import StandardCharsets
def onInit():
# Variables for assertions only.
spong... |
import datetime
import pikepdf
from PIL import Image
from PyQt5 import QtCore
from PyQt5.QtCore import pyqtSignal
from fpdf import FPDF
A3 = {'P': {'w': 297, 'h': 420}, 'L': {'w': 420, 'h': 297}}
A4 = {'P': {'w': 210, 'h': 297}, 'L': {'w': 297, 'h': 210}}
A5 = {'P': {'w': 149, 'h': 210}, 'L': {'w': 210, 'h': 149}}
Let... |
import os
import sys
import logging
import coloredlogs
import click
import datetime as dt
import yaml
import asyncio
import psutil
import backoff
import json
import nest_asyncio
import socket
from crontab import CronTab
from typing import List, Dict, Optional, cast
from asyncio.subprocess import Process
from asyncio i... |
import os
import sys
import math
import time
import copy
import pandas
import struct
import random
import pickle
import argparse
import warnings
import scipy.stats
import numpy as np
import scipy.signal
import pandas as pd
from sklearn import svm
from sklearn import tree
from matplotlib import pyplot
import matplotlib.... |
#!/usr/bin/env python
# Copyright 2017 Calico 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 ... |
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