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""" Module providing unit-testing for `~halotools.utils.value_added_halo_table_functions`. """ from __future__ import (absolute_import, division, print_function) from copy import deepcopy from collections import Counter import numpy as np import pytest from astropy.extern.six.moves import xrange as range from ..v...
import logging from typing import Callable, Union from tags_model import (TagCategory, TagCategoryBase, TagCategoryBaseItem, TagItem) tag_configuration: list[TagCategoryBase] = list() def load_tag_configuration(config_file_name: str) -> None: with open(config_file_name, mode='r', encoding='utf-8-sig') as f: ...
<filename>pkgs/ops-pkg/src/genie/libs/ops/lldp/iosxr/tests/lldp_output.py '''LLDP Genie Ops Object Outputs for IOSXR.''' class LldpOutput(object): ShowLldp = { "hello_timer": 30, "enabled": True, "hold_timer": 120, "status": "active", "reinit_delay": 2 } ShowL...
<gh_stars>1-10 """secp256k1 elliptic curve cryptography interface.""" # The process for using SECP256k1 is complex and more involved than ED25519. # # See https://xrpl.org/cryptographic-keys.html#secp256k1-key-derivation # for an overview of the algorithm. from __future__ import annotations from hashlib import sha256 ...
# 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 # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
from matplotlib import pyplot as plt from matplotlib.patches import Polygon import seaborn as sns from utils import * from analysis import * from SpikeVidUtils import * def tidy_axis(ax, top=False, right=False, left=False, bottom=False): ax.spines['top'].set_visible(top) ax.spines['right'].set_visible(right) ...
#! /usr/bin/env python3 import sys import pickle import argparse import numpy as np import pandas as pd import scipy.stats as stats def like_calc(X, y_test, unc): """ Given a simulated entry with uncertainty and a test entry, calculates the likelihood that they are the same. Parameters -----...
#!/usr/bin/env python """ cmddocs Class """ import os import cmd import sys import signal import configparser import git import pkg_resources from cmddocs.articles import * from cmddocs.completions import * from cmddocs.version import __version__ class Cmddocs(cmd.Cmd): """ Basic commandline interface class """ ...
<filename>sdk/loadtestservice/azure-mgmt-loadtestservice/azure/mgmt/loadtestservice/models/_models_py3.py<gh_stars>1000+ # coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.t...
# Copyright 2011 OpenStack Foundation # # 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/python ''' Example of inverse kinematics using the simple gradient descent method ''' from riglib.bmi import robot_arms import imp imp.reload(robot_arms) import numpy as np import matplotlib.pyplot as plt import time from riglib.stereo_opengl import ik import cProfile pi = np.pi q = np.array([0, 90, 0, 0,...
<filename>mailchimp_marketing_asyncio/models/rss_options1.py # coding: utf-8 """ Mailchimp Marketing API No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: 3.0.74 Contact: <EMAIL> Generated by: https://github.c...
# Copyright (c) 2009-2010 Six Apart Ltd. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright notice, # this list of conditions an...
import tensorflow as tf from utils import FLAT_COLOR_DIMS, COLOR_DIMS IMAGE_SIZE = 416 # TODO(indutny): there is no reason to not calculate grid_size automatically GRID_SIZE = 13 GRID_CHANNELS = 7 PRIOR_SIZES = [ [ 0.14377480392797287, 0.059023397839700086 ], [ 0.20904473801128326, 0.08287369797830041 ], [ 0.2...
<reponame>brianhie/trajectorama<filename>bin/dataset_zeisel_adolescent_brain.py from anndata import AnnData import loompy import numpy as np import os from scanorama import * import scanpy as sc from scipy.sparse import vstack from sklearn.preprocessing import normalize from process import process, load_names, merge_d...
#!/usr/bin/env python from __future__ import print_function import matplotlib as mpl #mpl.use("Agg") import numpy as np import matplotlib.pyplot as plt from costar_models import * from costar_models.planner import GetOrderedList, PrintTopQ from costar_models.sampler2 import PredictionSampler2 from costar_models.dat...
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