text stringlengths 3.07k 22.1k |
|---|
from __future__ import absolute_import, division, print_function
from builtins import (bytes, str, open, super, range,
zip, round, input, int, pow, object, map, zip)
__author__ = "<NAME>"
import numpy as np
from . import minimizer
#import sed_models_dic as Model_dic
from .jet_model import... |
import warnings
from enum import Enum
import torch
import torch.nn as nn
from colorama import Fore, Style
from mmlib.util.helper import print_info, get_device
class ProbeInfo(Enum):
LAYER_ID = 'layer_id'
FORWARD_INDEX = 'forward_index'
BACKWARD_INDEX = 'backward_index'
LAYER_NAME = 'layer_name'
... |
"""Utils for ViViT-based regression models."""
from typing import Any
from absl import logging
import flax
import jax.numpy as jnp
import ml_collections
import numpy as np
from scenic.common_lib import debug_utils
from scenic.projects.vivit import model_utils as vivit_model_utils
average_frame_initializer = vivit_m... |
import cv2
import numpy as np
from time import gmtime, strftime
from math import pi, atan2
#NEEDED DATA
TWO_PI = 2 * pi
#Remember to change this to the correct path
data_folder_path = '$HOME/Documents/ItLeavesATrail/data/'
books = [
'Angels and Demons',
# 'Anne of Green Gables & Anne of Avonlea',
'<NAM... |
#!/usr/bin/env python
import os
import sys
import subprocess
import logging
import shutil
import datetime
import json
import argparse
import zipfile
import xml.etree.ElementTree as ET
from io import BytesIO
from collections import OrderedDict
from pds_pipelines.redis_queue import RedisQueue
from pds_pipelines.redis_h... |
"""
Implementation of Postgres composite types in Django.
(c) 2016, <NAME> <<EMAIL>>
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright n... |
# Copyright (c) 2021 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... |
from typing import List
import tensorflow as tf
import numpy as np
import lunzi as lz
from lunzi import nn, rl
from boots import *
from boots.envs.batched_env import BatchedEnv
from boots.partial_envs import make_env, FLAGS as EnvFLAGS
from boots.normalizer import Normalizers
from boots.envs.virtual_env import Virtual... |
import numpy as np
import time
class Perceptron():
def __init__(self, activation = 'tanh', learning_rate = None, synapses = None):
if (synapses == None):
self.synapses = 2 * np.random.random((2, 1)) - 1
else:
self.synapses = synapses
self.epoch = 0
self.t... |
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import math
from matplotlib import colors
from matplotlib.ticker import PercentFormatter
from mpl_toolkits import mplot3d
import os
import shutil
class createPlots():
def __init__(self, data, outFolderName, defParams, idmRatio, plot = True):
... |
#!/usr/bin/env python
#
# Copyright (C) 2011, 2012 Google Inc.
#
# This file is part of YouCompleteMe.
#
# YouCompleteMe 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 3 of the License, or
# (... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
from propobject import BaseObject
LBDAREF = 7000
# ========================= #
# #
# Chromaticity #
# #
# ========================= #
def sigma_chromaticity(lbda, sigmaref, rho=-1/5., lbd... |
"""Example application of lsqfit-gui on a "basic fit" from the lsqfit documentation.
See also https://lsqfit.readthedocs.io/en/latest/overview.html#basic-fits
"""
from itertools import product
import numpy as np
import pandas as pd
import gvar as gv
import lsqfit
import plotly.express as px
import lsqfitgui
T_MI... |
"""tests rio_tiler.landsat8"""
import os
from unittest.mock import patch
import numpy
import pytest
import rasterio
from rio_tiler.errors import InvalidBandName, MissingBands, TileOutsideBounds
from rio_tiler_pds.errors import InvalidLandsatSceneId
from rio_tiler_pds.landsat.aws import L8Reader
from rio_tiler_pds.la... |
#!/usr/bin/python
from email.header import Header
from ansible.module_utils.basic import AnsibleModule
import requests
def authenticate(url, user, password, tenant):
auth_url = "{0}/authentication/api/v1/sessions/developer".format(url)
auth_data = {
'username': user,
'password': password,
... |
import torch as ch
import numpy as np
from lime.lime_text import LimeTextExplainer
from tqdm import tqdm
from wordcloud import WordCloud
import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('darkgrid')
import os
from collections import defaultdict
def make_lime_fn(model... |
import os
import sys
import argparse
import pickle
import json
import gym
import numpy as np
from core.evaluator import ALEvaluator
from core.basis import GaussianKernel, RBFKernel2
from core.feature_expectation import MCMuEstimator, LSTDMuEstimator, DeepMuEstimator
from core.policy import RandomPolicy2
from core.dat... |
"""
Deep Interpolation Experiments
In this script, we reproduce recent findings from https://arxiv.org/pdf/2110.09485.pdf
And in particular, we look at interpolation as a function of the embedding dimension.
Balestriero et al. define interpolation as follows:
Definition 1. Interpolation occurs for a sample x wheneve... |
import os
import sys
from flask import Flask, render_template, request, url_for, session
import oauth2 as oauth
# import requests
import urlparse
import json
import tweepy
# import unicodedata
# For all those who get a chance to have a look at this code..... folks,
# must listen to the song "Let Her Go" by The Passeng... |
"""
Taken from PyPDF2 see (License.PyPDF2)
"""
import struct
from hashlib import md5
# ref: pdf1.8 spec section 3.5.2 algorithm 3.2
_encryption_padding = (
b'\x28\xbf\x4e\x5e\x4e\x75\x8a\x41\x64\x00\x4e\x56'
b'\xff\xfa\x01\x08\x2e\x2e\x00\xb6\xd0\x68\x3e\x80\x2f\x0c'
b'\xa9\xfe\x64\x53\x69\x7a'
)
# Imp... |
import pytest
import logging
import pdb
import os
from oanda.connect import Connect
@pytest.fixture
def conn_o():
log = logging.getLogger('connect_o')
log.debug('Create a Connect object')
# creating a Connect object
conn = Connect(
instrument="AUD_USD",
granularity='D')
return con... |
import unittest
from tilecloud import BoundingPyramid, Bounds, TileCoord
class TestBoundingPyramid(unittest.TestCase):
def test_empty(self) -> None:
bp = BoundingPyramid()
self.assertEqual(len(bp), 0)
self.assertFalse(TileCoord(0, 0, 0) in bp)
self.assertRaises(StopIteration, next... |
import base64
import hashlib
import json
import logging
import urllib.request
from datetime import datetime
from cbor2 import dumps, loads
from jwcrypto import jwk
from ecdsa import VerifyingKey
logging.basicConfig(level=logging.WARN,
format='%(asctime)s - %(levelname)s - %(message)s')
TRUSTED_I... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
**Project Name:** MakeHuman
**Product Home Page:** http://www.makehumancommunity.org/
**Github Code Home Page:** https://github.com/makehumancommunity/
**Authors:** <NAME>
**Copyright(c):** MakeHuman Team 2001-2019
**Licensing:** AG... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import numpy as np
import logging
import copy
import random
logging.basicConfig(level=logging.DEBUG)
# Cooperate Value
coop = 'C'
# Defect value
dfct = 'D'
# Von Newmann type
vonNewmann = 'vonNewmann'
# Moore type
moore = 'moore'
vonNewmannSize = 4
mooreSize = 8
class Pl... |
"""
Library of utilities that can be used for plotting
"""
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import cm
import cubedsphere.const as c
from .utils import _flatten_ds
def overplot_wind(ds_reg, U, V, stepsize=1):
"""
Quick and dirty function for overplotting wind of a regri... |
"""
Parses data and returns download data.
"""
import logging
import re
import string
from os import PathLike
from os.path import join, realpath, splitext
from typing import Dict, List, Optional, Tuple
from ..models import (AnimeListSite, AnimeThemeAnime, AnimeThemeEntry,
AnimeThemeTheme, AnimeTh... |
from core.logging.logger import Logger
from blessings import Terminal
class AttackSurfaceError(Exception):
def __init__(self, message):
self.logger = Logger()
self.message = message
self.logger.log("critical", "AttackSurface : {}".format(self.message))
class AttackSurface(object):
de... |
from Bio import SeqIO
from SNPSeek.Get_variety_snps_from_csv import *
from HelperRoutines.CreateTranscriptOrProteinFromGff import *
from Bio.SeqRecord import SeqRecord
from Bio.Seq import Seq
from SNPSeek.RetrieveJsonForLocus import retrieve_json
from SNPSeek.ConvertOneJsonToCsv import convert_json_text
import os
from... |
import os
import csv
import stat
import json
import networkx as nx
from jsonpath_rw import parse
import dvc.cloud.base as cloud
from dvc.logger import Logger
from dvc.exceptions import DvcException
from dvc.stage import Stage
from dvc.config import Config
from dvc.state import LinkState
from dvc.lock import Lock
from... |
'''
Responda perguntas divertidas e teste sua inteligência
nesse incrível jogo escrito 100% em Python. Aprenda so-
bre Tecnologia, Astronomia, Geografia e descubra coisas
que você nem imaginava. Jogue muito e acerte o máximo
que conseguir. E para que o jogo não venha se tornar
monótono, novas atualizações d... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 2 22:59:34 2019
@author: atekawade
"""
import sys
import os
import numpy as np
import pandas as pd
from scipy import misc
import h5py
import time
import configargparse
import ast
import matplotlib as mpl
import matplotlib.pyplot as plt
from ct_se... |
"""
Wrapper classes for the Plantower PMS5003.
<NAME>
12/02/2018
"""
import logging
import time
from datetime import datetime, timedelta
from serial import Serial, SerialException
DEFAULT_SERIAL_PORT = "/dev/ttyUSB0" # Serial port to use if no other specified
DEFAULT_BAUD_RATE = 9600 # Serial baud rate to... |
#!/usr/bin/env python3
# -*- coding:utf-8 -*-
# Copyright (C) <EMAIL>
#
import os,sys,configparser,getopt
import csv
import operator,itertools
# 1、对单个文件按主列(gene_name (mus_musculus_ensembl_v80_Genes))对行进行分组
# 2、对单个文件分组后的每一组按找从列(Frequency)求和
# note:
# 分组的原则根据主列中每一行的名字，进行归类，同名归属一组
# 3、支持文件批量求和，从整体上看，对位于不同文件的主列进行分组，原则同上。... |
import re
import pandas as pd
import glob
import numpy as np
# group report column headings
COL_NAMES_FRONT = ["Unique ID",
"Family name",
"Given name",
"Middle names",
"Username",
"DOB",
"Gender",
... |
# local imports
from .util import aws_cli
from .visualization import create_viz_link_from_json, get_neuroglancer_json
import pathlib
import subprocess
import shlex
import requests as r
import numpy as np
import h5py
from cloudvolume import CloudVolume
from collections import defaultdict
import uuid
import argparse
fro... |
###################################
# coding: utf-8
# Author: ZI,Jinping
# History:
# 2021-04-06 Initial coding
###################################
import os
import numpy as np
from math import radians,cos,acos,sin,asin,sqrt,ceil,pi,floor
import obspy
from obspy import Stream
import glob
import re
from obspy impor... |
##############################################################################
#
# Copyright (c) 2004 Zope Foundation and Contributors.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS I... |
#!/usr/bin/env python
"""
This represents a directed graph.
"""
__author__ = "<NAME> <<EMAIL>>"
__revision__ = "$Revision: 1.1 $"
from logging import getLogger
_LOGGER = getLogger("ConstructQuery")
class Graph(object):
"""This represents a directed graph."""
def __init__(self, graph):
"""The graph is ... |
#! /usr/bin/env python
import os
import argparse
import json
import cv2
from scipy.special import expit
#from utils.utils import makedirs, correct_yolo_boxes, decode_netout, bbox_iou
#from utils.bbox import draw_boxes, draw_boxes_detection_only
from keras.models import load_model
from tqdm import tqdm
import numpy as ... |
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 20 09:43:34 2020
@author: Nikki
"""
#referencing https://github.com/aqeelanwar/SocialDistancingAI
import cv2
import sys
import csv
import transform as tform
import numpy as np
import os.path
# Goal Input: csv file with ip address, length, width
# Output: csv file... |
#! /bin/python
# $Id
# -----------------------------------------------------------------------------
# CppAD: C++ Algorithmic Differentiation: Copyright (C) 2003-17 <NAME>
# CppAD is distributed under the terms of the
# Eclipse Public License Version 2.0.
#
# This Source Code may also be made available und... |
import sh
import re
import os
import json
import time
import base64
import sys
import argparse
from distutils.spawn import find_executable
import shortuuid
from wandb.kubeflow import pipeline_metadata
from wandb.apis import InternalApi
from wandb import CommError
if not find_executable("arena"):
if find_executabl... |
import src.third_party.imageAugmentation.imgaug as libRoot
from src.third_party.imageAugmentation.imgaug import augmenters as lib
import time
import numpy as np
import settings.DataSettings as dataSettings
def _augmentedByAllMethods():
sometimes = lambda aug: lib.Sometimes(0.5, aug)
augmentMethod = lib.Sequential([
... |
import event.util
from event.io.readers import EventReader
import gzip
from event.arguments.prepare.event_vocab import TypedEventVocab, EmbbedingVocab
from event.arguments.prepare import word_vocab
from event.arguments.prepare.slot_processor import (
SlotHandler, get_simple_dep, is_propbank_dep)
from collections im... |
import paramiko
import sys
import yaml
import os
import gnupg
import pprint
import json
import csv
class File():
def __init__(self, file_name):
self.file = open(file_name, 'r')
return
def encrypt(self, gpg_key_user, gpg_output_file, log_file, gnupg_home="", verbose=False):
log_out =... |
from ctypes import *
from numpy.ctypeslib import ndpointer
import numpy as np
lib = cdll.LoadLibrary('./bmm.dylib')
# here we CREATE A CUSTOM C TYPE
# StimMat = c_double * 12 # here you must specify the size
# with a POINTER, you can pass arrays to C, without specifying the size of the array
StimMat = POINTER(c_doubl... |
"""Wrappers for `einops <https://einops.rocks/>`_.
The einops module is available only from ``xarray_einstats.einops`` and is not
imported when doing ``import xarray_einstats``.
To use it you need to have installed einops manually or alternatively
install this library as ``xarray-einstats[einops]`` or ``xarray-einstat... |
# Licensed under a 3-clause BSD style license - see LICENSE
from __future__ import print_function, division
__all__ = ["Atmo_BTSettl7_spectro", "Read_BTSettl7"]
import sys
from astropy.io import fits
from ..Utils.import_modules import *
from .. import Utils
from .Atmo import Atmo_grid
logger = logging.getLogger(__... |
import tkinter
import sys
import getopt
import time
import threading
import os
import random
import enum
import racemap
import racecar
import racecolor
def callback(event):
""" Reacts to a user click on the window """
# switch on the status
global status
# if still initializing, ignore the click and don't do a... |
# Copyright 2016 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... |
#!/GPFS/zhangli_lab_permanent/zhuqingjie/env/py3/bin/python
'''
@Time : 11.19 0019 上午 10:22
@Author : zhuqingjie
@User : zhu
@FileName: result_show.py
@Software: PyCharm
'''
import cv2, random, os, json, time, sys
import numpy as np
sys.path.append('..')
from color import Colored as C
print_ = lambda x: print... |
import numpy as np
import scipy.constants as cst
from scipy.interpolate import interp1d
import os
def laser_gain_step(J_in, g_in):
"""
Computes one iteration of Frantz-Nodvik gain simulation,
and returns the output normalised fluence and the gain left
in the crystal.
J is a number, g is a number
... |
from pyramid_chameleon.zpt import ZPTTemplateRenderer
from pyramid.config.views import preserve_view_attrs
from pyramid.httpexceptions import HTTPForbidden
from pyramid.interfaces import IAuthenticationPolicy
from pyramid.interfaces import IAuthorizationPolicy
from pyramid.interfaces import IDebugLogger
from pyramid.in... |
from collections import namedtuple
import math
import sys
from morton import Morton
try:
from shapely import geometry as shapely_geometry
except ImportError:
shapely_geometry = None
Point = namedtuple('Point', ['x', 'y'])
def is_point_on_line(point, start, end):
if start.x <= point.x and point.x <= end.... |
import sys
sys.path.append('../')
from pycore.tikzeng import *
from pycore.blocks import *
def createChain(block_fn,args_dict,start_from,base_name,multiple,widths,colors):
name = base_name + "1"
args_dict['name'] = name
args_dict['to'] = start_from
args_dict['width'] = widths[0]
args_dict['color'... |
import os, random, shutil, subprocess, string, logging, tempfile, re
from typing import Callable, List
from termcolor import colored
from enum import Enum
import prettytable
import testcases
def random_string(length: int):
""" Generate a random string of fixed length """
letters = string.ascii_lowercase
return... |
import uuid
from django.db import models
from django.contrib.postgres.fields import ArrayField
from game.const import (
ONE_6,
ONE_5,
TWO_6,
TWO_5,
SCORE_6,
SCORE_5
)
GRID_SIZE = 15
def generate_empty_grid():
return [[0 for x in range(GRID_SIZE)] for y in range(GRID_SIZE)]
class Game(m... |
# Copyright (c) 2017 <NAME>
#
# 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, distribute, ... |
# Copyright 2014 Mirantis, 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 required by applicable law or agreed to in writing... |
#!/usr/bin/env python
# ----------------------------------------------------------------------------
# Copyright 2015-2017 Nervana Systems 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
... |
import argparse
import report as rp
import pandas as pd
import numpy as np
import pweave
import os
import shutil
def create_parser(dir_path=os.path.dirname(os.path.realpath(__file__))):
parser = argparse.ArgumentParser(prog="Reportes",
description="Report creation utility for ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import unittest.mock
import pytest
import numpy as np
from graphdot.model.gaussian_process import LowRankApproximateGPR
np.random.seed(0)
@pytest.mark.parametrize('X', [
np.arange(25),
np.linspace(0, 1, 25),
np.linspace(-1, 1, 25),
])
@pytest.mark.parametrize... |
from pathlib import Path
import numpy as np
import pytest
import bmds
@pytest.fixture(scope="session")
def vcr_config():
return {
"filter_headers": [("authorization", "<omitted>")],
}
@pytest.fixture(scope="session")
def data_path():
return Path(__file__).parent.absolute() / "data"
@pytest.f... |
#!/usr/bin/env python3
import os
import re
import time
import hydra
import omegaconf
import torch
from tqdm import tqdm
import wandb
from envs.obs_transforms import (
OBS_TRANSFORMS,
RECORD_TRANSFORMS,
obs_transform_default,
record_transform_default,
)
import buffers
import utilities as utils
class ... |
import pyautogui
import sqlite3
from sqlite3 import Error
def create_connection(path):
connection = None
try:
connection = sqlite3.connect(path)
#print("Connection to SQLite DB successful")
except Error as e:
print(f"The error... |
# Copyright 1996-2020 Soft_illusion.
#
# 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 w... |
import sklearn
import tensorflow as tf
import tensorflow_probability as tfp
from rlutils.tf.callbacks import EpochLoggerCallback
from rlutils.tf.distributions import make_independent_normal_from_params, apply_squash_log_prob, \
make_independent_centered_beta_from_params, make_independent_truncated_normal, make_inde... |
import json
import time
import urllib2
from collections import OrderedDict
from threading import Lock
from BaseHTTPServer import BaseHTTPRequestHandler, HTTPServer
from SocketServer import ThreadingMixIn
with open("key.txt") as f:
key = f.read()
regionToLocationMap = {
"br" : "br1",
"eune" : "eun1",
... |
import tensorflow as tf
import tensorflow_hub as hub
import numpy as np
import pickle
import os
from tensorflow.keras.utils import to_categorical
cls_num = 5
def read_data(filename):
"""
This function reads the data from .txt file.
:param filename: reading directory
:return: lists of word_i... |
# -*- coding: utf-8 -*-
"""Download and pre-process SQuAD and GloVe datasets
Usage:
> source activate squad
> python setup.py
Pre-processing code adapted from:
> https://github.com/HKUST-KnowComp/R-Net/blob/master/prepro.py
> https://github.com/chrischute/squad
Author:
<NAME> (<EMAIL>)
"""
import ... |
# coding=utf-8
import os
import socket
import subprocess
import sys
import threading
import time
import traceback
from threading import Thread
import grpc
from json import dumps
from concurrent import futures
from netutils import get_host_ip, get_docker0_IP
from utils.exception import ExecuteException
from utils.k8s ... |
# Copyright 2019 Illumio, 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 required by applicable law or agreed t... |
import io
import os
import re
import sys
import csv
import urllib
import itertools
from collections import defaultdict
from indra.databases import hgnc_client
hgnc_fam_url = ('ftp://ftp.ebi.ac.uk/pub/databases/genenames/new/csv/'
'genefamily_db_tables/')
gene_fam_file = 'gene_has_family.csv'
family_fil... |
from json import loads, dumps
from typing import Dict, List, Union
from django.db.models import Model, Max
from rest_framework.serializers import Serializer
from imblearn.pipeline import Pipeline
from apps.analysis_and_training.main.significant_terms import (
MarkUpEntities,
BugResolutions,
)
from apps.extrac... |
#!/usr/bin/env python
""" Plotting helper functions related to the Reaction Plane Fit.
.. code-author: <NAME> <<EMAIL>>, Yale University
"""
import logging
import numpy as np
from typing import Any, Callable, Dict, Tuple
from pachyderm import histogram
from reaction_plane_fit import base
from reaction_plane_fit im... |
# -*- coding: utf-8 -*-
import numpy as np
import networkx as nx
import scipy.sparse as sp
import random
random.seed(1001)
np.random.seed(121)
def adj_nhood(adj, nhood):
adj = adj.tocsr()
mt = sp.eye(adj.shape[0], format='csr')
for _ in range(nhood):
mt = mt * adj
indices = mt.nonzero()
mt... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jun 1 20:01:24 2021
@author: thomas
inspiration: https://pypi.org/project/numpy-stl/
Goal:
Make multiple blocks of different height in a 2D plane,
in a 3D space
"""
from stl import mesh # numpySTL
import numpy as np
import matplotlib.pyplot as plt
fr... |
'''
Quick sort implementations and selection sort comparison baseline.
'''
import random
import pandas as pd
import numpy as np
import timeit
from collections import defaultdict
import matplotlib.pyplot as plt
import os
import sys
sys.path.append(os.path.abspath(os.path.join(os.getcwd(), os.pardir)))
... |
import glob
import json
import os
from ozeu.utils.coco import CocoDatasetBuilder
import subprocess
import tempfile
from collections import deque
from os.path import join
import click
import cv2
import numpy as np
import tqdm
import yaml
from ozeu.detection.instance_segmentation import InstanceSegmenter
from ozeu.segme... |
import base64
import datetime
import re
import string
from dateutil.parser import parse as dateparse
from snakeoil.osutils import sizeof_fmt
from ... import utc, const
from ...objects import Item, Change, Comment, Attachment, decompress
from ...utils import nonstring_iterable
def parsetime(time):
if not isinsta... |
from typing import Union, Optional
import pytest
import scanpy as sc
import cellrank.external as cre
from anndata import AnnData
from cellrank.tl.kernels import ConnectivityKernel
from cellrank.external.kernels._utils import MarkerGenes
from cellrank.external.kernels._wot_kernel import LastTimePoint
import numpy as ... |
import argparse
import json
import math
from argparse import RawTextHelpFormatter
from leaderboard.utils.checkpoint_tools import fetch_dict
import carla
import os
SCENARIO_COLOR = {
"Scenario1": [carla.Color(255, 0, 0), "Red"], # Red
"Scenario2": [carla.Color(0, 255, 0), "Green"], # Green
"Sc... |
from http.server import HTTPServer, BaseHTTPRequestHandler
import jwt
from datetime import datetime
import os
import json
from urllib.parse import urlparse, parse_qs
from collections import namedtuple
TokenStruct = namedtuple("TokenStruct", "encoded_token date")
SECRET_KEY = "SECRET_KEY"
codes_dict = {
"Live View": "... |
#!/usr/bin/env python3
import re
import sys
from argparse import ArgumentParser
from tqdm import tqdm
from constants import document_list_url, wordhoard_list_url, custom_topics_url
from new_batches import state_dir
from oauth_helpers import oauth_client
from wordhoard_helpers import post_wordhoard_payload, find_super... |
# -*- coding: utf-8 -*-
"""
Author: <NAME> <<EMAIL>>
License: MIT
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
from stochopy import Evolutionary
from .dispersion_curve import DispersionCurve
from .thomson_haskell import ThomsonHaskell
from ._lay2vel import ... |
import os
import re
import requests
import uuid
from bs4 import BeautifulSoup
from django.conf import settings
from django.core.files import File
from django.core.files.temp import NamedTemporaryFile
from django.db import models
from django.urls import reverse
from django.utils.translation import ugettext_lazy as _
fro... |
# This Software (Dioptra) is being made available as a public service by the
# National Institute of Standards and Technology (NIST), an Agency of the United
# States Department of Commerce. This software was developed in part by employees of
# NIST and in part by NIST contractors. Copyright in portions of this softwar... |
from odynn import optim, utils
import pandas as pd
import seaborn as sns
import pylab as plt
import numpy as np
from odynn.models import cfg_model
from odynn import neuron as nr
from odynn import nsimul as ns
from sklearn.decomposition import PCA
def corr(df):
corr = df.corr()
# Set up the matplotlib figur... |
import dataclasses
import json
import logging
import os
import time
import yaml
from consul import Timeout
from typing import Any, Dict, List, Set, Tuple
from web3 import HTTPProvider, Web3
from web3.exceptions import MismatchedABI
from web3.middleware import geth_poa_middleware
from polyswarmdconfig.config import Co... |
import os
import re
from os.path import join, basename
from operator import itemgetter
from collections import Counter, namedtuple
from itertools import groupby, izip_longest
from anadama import util
from anadama.pipelines import Pipeline
from .. import settings
from .. import general, sixteen, biom, usearch
from . ... |
# Copyright (c) 2020 by Farsight Security, 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 required by applicable law or agre... |
import collections
import re
from . import (
base,
props,
)
STORAGE_CONTROLLER_NAME_RE = re.compile("^storagecontrollername(\d+)$")
def cls_name_gen(fld, idx):
return "storagecontroller{}{}".format(fld, idx)
class MountedMedium(base.SubEntity):
def __init__(self, controller, medium, slot):
s... |
# -*- coding: utf-8 -*-
from __future__ import print_function
import caffe
from caffe import layers as L
from caffe import params as P
from google.protobuf import text_format
#import inputParam
import os
import sys
import math
sys.path.append('../')
from username import USERNAME
from yoloParam import yolo_Param
from ss... |
# Standard library
from os import path
import glob
import re
# Third-party
import astropy.units as u
from astropy.constants import G
from astropy.table import QTable
import numpy as np
from scipy.integrate import simps
from scipy.interpolate import interp1d
from scipy.stats import truncnorm
from sklearn.neighbors.kde ... |
from datetime import date, datetime
from typing import List, Optional, OrderedDict, Union
import numpy as np
import torch
import selfies as sf
import pandas as pd
from tqdm import trange, tqdm
from globals import device
from rxitect import tensor_utils
from rxitect.models.lightning.generator import Generator
from rxit... |
# add_mesh_twisted_torus.py Copyright (C) 2009-2010, <NAME>
# tuga3d {at} gmail {dot} com
# add twisted torus to the blender 2.50 add->mesh menu
# ***** 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 pu... |
#!/usr/bin/env python
#coding: utf-8
'''
Created on Feb 1, 2018
@author: cs540 team I
'''
from __future__ import (print_function, absolute_import,
division, unicode_literals)
try:
from future_builtins import * # @UnusedWildImport
import codecs # python-2
open = ... |
import torch
import numpy as np
from torch.autograd import Variable
import torch.nn as nn
def cosine_sim(im, s, t=1):
"""Cosine similarity between all the image and sentence pairs
"""
return im.mm(s.t())
def order_sim(im, s, t=1):
"""Order embeddings similarity measure $max(0, s-im)$
"""
Ym... |
import argparse
import contextlib
import irods.lib
from irods import database_connect, database_interface
from irods.configuration import IrodsConfig
#--------------------------------------
# update_deprecated_database_columns.py
#
# Several columns in R_DATA_MAIN are obsolete/no longer updated as of 4.2:
# resc_... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.