text stringlengths 3.07k 12.6k |
|---|
import os
import sys, json
from typing import List
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
sys.path.append(os.path.join(os.path.dirname(__file__), '../..'))
from etk.etk import ETK
from etk.etk_module import ETKModule
from etk.csv_processor import CsvProcessor
from etk.extractors.decoding_value_... |
# Copyright 2012 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 or agreed to in... |
from flask import Flask, request, url_for, redirect, render_template, jsonify, make_response
import json
from dotenv import load_dotenv
import os
import redis
import datetime
from math import ceil
# Connect to Redis
load_dotenv()
r = redis.from_url(os.environ.get("REDIS_URL"))
r.flushdb()
MAX_REQUESTS = 1000
REQUESTS... |
# info_nce_loss
import torch
import torch.nn.functional as F
import datetime
# percent replicating
import pandas as pd
import matplotlib.pyplot as plt
import random
import numpy as np
import utils_benchmark
# heatmapCorrelation
import seaborn as sns
# Umap
import umap
import umap.plot
import colorcet as cc
def now... |
# stdlib
import pathlib
from typing import Any, Dict, Iterable, List, Tuple
# 3rd party
from domdf_python_tools.paths import PathPlus
from pytest_regressions.data_regression import DataRegressionFixture
# this package
from configconfig.parser import Parser
from tests.configuration import (
additional_setup_args,
... |
print(">>>> WARNING: THE MODULE", __name__ ,"IS MARKED FOR REMOVAL")
'''
This file should contain the actual loss implementations.
Losses.py should only contain the dictionary of losses, or very simple one-line calls to
functions defined in this file here
All energy weighting should be done with sqrt(E) and must use... |
# Copyright 2022 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, ... |
#! /usr/bin/env python
# This file is part of khmer, https://github.com/dib-lab/khmer/, and is
# Copyright (C) 2011-2015, Michigan State University.
# Copyright (C) 2015-2016, The Regents of the University of California.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitte... |
import re
import json
import csv
from collections import defaultdict
from django.shortcuts import render, redirect
from django.http import HttpResponse, HttpResponseBadRequest
from django.views import generic, View
from django.template import RequestContext
from django.core.serializers.json import DjangoJSONEncoder
f... |
#!/usr/bin/python
# Python script for minimal confidence testing of a PEBBL build
from __future__ import print_function # Fix for Python 2.7
import subprocess
import sys
import os
def patternMatch(inputString, pattern, outputList) :
tokens = inputString.split()
output = []
for matchToken in pattern :
if l... |
###
## * << Haru Free PDF Library 2.0.0 >> -- raw_image_demo.c
## *
## * Copyright (c) 1999-2006 <NAME> <<EMAIL>>
## *
## * Permission to use, copy, modify, distribute and sell this software
## * and its documentation for any purpose is hereby granted without fee,
## * provided that the above copyright notice ap... |
# -*- coding: utf-8 -*-
#
# @author <NAME>
# @date 4 April 2019
import tensorflow as tf
from sklearn.model_selection import StratifiedShuffleSplit
import time
from datetime import datetime
# Main slim library
slim = tf.contrib.slim
#TF model
class pipeline_AE(object):
def __init__(self, net_arch):
... |
# Copyright (C) 2019 The Raphielscape Company LLC.
#
# Licensed under the Raphielscape Public License, Version 1.d (the "License");
# you may not use this file except in compliance with the License.
#
""" Módulo de userbot que contiene comandos id de usuario, id de chat y log"""
from asyncio import sleep
from userbot... |
try:
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D # import required by matplotlib.
visuals_enabled = True
except ImportError:
visuals_enabled = False
def visualise(func):
def wrapper(*args, **kwargs):
if not visuals_enabled:
raise ImportError("v... |
# SJTU EE208
# -*-coding:utf-8-*-
import os
import math
import re
import string
import sys
from typing import final
import urllib
import requests
import urllib.error
import urllib.parse
import urllib.request
from urllib.request import Request, urlopen
import hashlib
import threading
import queue
import time
from bs4 im... |
import os
import pickle
import urllib.request
import rtree # pip install Rtree; apt install libspatialindex4v5
import shapely # pip install shapely
class NAIPTileIndex:
'''Utility class for performing NAIP tile lookups by location
'''
NAIP_BLOB_ROOT = 'https://naipblobs.blob.core.windows.net/naip/'
NA... |
import inspect
import json
import os
from typing import Any, Dict, List, Union
import aft_common.aft_utils as utils
import boto3
import jsonschema
from boto3.session import Session
logger = utils.get_logger()
AFT_PIPELINE_ACCOUNTS = ["ct-management", "log-archive", "audit"]
def validate_request(payload: Dict[str, ... |
################################################################################################################
# Author: <NAME>
# <EMAIL>
################################################################################################################
import numpy as np
import os
import scipy.io
from dotmap import Do... |
# Copyright 2018 <NAME> and <NAME>. 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 l... |
import urllib.request
from bs4 import BeautifulSoup
import os
import time
header = {
"User-Agent":'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36',
'Accept': '*/*',
'Accept-Language': 'en-US,en;q=0.8',
'Cache-Control': 'max-age=0',
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# ec2_create_security_groups.py
#
# Copyright 2016 <NAME>
#
# MIT License
#
# Create security groups in VPCs without knowing the region.
#
# Dependencies: boto3
import sys
import boto3
import botocore
import collections
import logging
import myawscommon
from mya... |
# -*- coding: utf-8 -*-
import torch
import numpy as np
import time
import torch.nn.functional as F
from Orthogonal_loss import OrthogonalLoss
class Cluster_GPU_FAST():
""""
A class for clustering feature maps.
Input: 1. A set of feature maps with 2-4 dimension.
2. Number of cluster centers.
... |
from datetime import datetime as dt
from django.db.models import Q
from django.shortcuts import get_object_or_404
from django.utils import timezone as djangotime
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework.views import APIView
from tacticalrm... |
"""
Run to deply the changes.
fab local deploy
If something is wrong then you can rollback to the previous version.
fab local rollback
Note that this only allows you to rollback to the release immediately before
the latest one. If you want to pick a arbitrary release then you can use the
following, where 20... |
import hashlib
import time
import warnings
from datetime import datetime
from datetime import timezone
from decimal import Decimal
from numbers import Real
from ._json import _CompactJSON
from .encoding import base64_decode
from .encoding import base64_encode
from .encoding import want_bytes
from .exc impo... |
from tkinter import *
from utility import *
from tkinter import messagebox
import time
import threading
from win10toast import ToastNotifier
toast = ToastNotifier()
def main(root, WIDTH, HEIGHT, wu, hu):
global productiveTimeEntry, breakTimeEntry, currentStatusLabel
root.config(bg = "black")
heading = L... |
import time
import re
from talon import Module, Context, actions, settings, ui
ctx = Context()
mod = Module()
mod.apps.vim = r"""
title: /vim/i
app.bundle: com.apple.Terminal
"""
ctx.matches = r"""
app: vim
"""
mod.list("vim_arrows", desc="VIM direction keys")
mod.list("vim_commands", desc="List of available command... |
"""Module containing torch Dataset loader for Moments in Time video dataset."""
import skvideo.io
import numpy as np
import os
from torch.utils.data import Dataset, DataLoader
from random import shuffle
import random
from tqdm import tqdm
class MomentsInTimeDataset(Dataset):
def __init__(self, data_dir, max_times... |
import math
KNOTS_KMH = 1.85200
EARTH_RADIUS = 6356752.3142
RAD_CONVERSION = 180 / math.pi
FEET_CONVERSION = 0.3048
F0_FRAME = ()
# B=byte, H=ushort, h=short, I=uint, i=int, f=float
F1_FRAME = (
# {'name': 'flags', 'type': 'H'},
# {'name': 'lower_limit', 'type': 'f'},
# {'name': 'water_depth',... |
#!/usr/bin/env python
# pylint: disable=bad-continuation
import os
# Force matplotlib to not use any Xwindows backend. Needs to be imported before
# any other matplotlib import.
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
import yaml
from maplab_evaluation.report_commo... |
import base64
from django.conf import settings
from django.core.urlresolvers import reverse
from django.db import models
from django.db.models import F
from django.utils.translation import ugettext_lazy as _
from users.models import Profile
class UserActivity(models.Model):
domain = models.CharField(max_length=2... |
import numpy as np
from matplotlib import pyplot as plt
from matplotlib.widgets import Cursor
from matplotlib.colors import cnames
from multiprocessing import Process, Pipe, Event
from time import time, sleep
from threading import Thread
class MPLRenderer(object):
def __init__(self, mpl, refresh_period=(1.0/240),... |
#!/usr/bin/env python3.8
# Copyright 2020 The Fuchsia Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""A helper script for CTS dependency verification.
The Compatibility Test Suite (CTS) has strict rules on GN dependencies. A CTS tar... |
#!/usr/bin/env python3
# This file is part of the Soletta (TM) Project
#
# Copyright (C) 2015 Intel 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
#
# ... |
import numpy as np
import enum
from pymorton import interleave2
class Form(enum.Enum):
MATRIX_FORM = 0
INDEXED_MATRIX_FORM = 1
BINARY_MATRIX_FORM = 2
class Task:
def __init__(self, code, index):
self.code = code
self.index = index
class Problem:
"""
A problem of finding an optimal alignment between two... |
#!/usr/bin/env python3
import argparse
import bisect
import json
import math
import os
import sys
import matplotlib.pyplot as plt
import numpy as np
def plot_linear(fig, pp):
bins = int(math.ceil(pp[-1]/100))
pp_less_100 = bisect.bisect_left(pp, 100)
pp_less_200 = bisect.bisect_left(pp, 200)
pp_less_300 = b... |
import itertools
import numpy as np
"""
MAUCpy
~~~~~~
Contains two equations from Hand and Till's 2001 paper on a multi-class
approach to the AUC. The a_value() function is the probabilistic approximation
of the AUC found in equation 3, while MAUC() is the pairwise averaging of this
value for e... |
from django.contrib import admin
from voting_intentions.models import Vote, VoteTag, Choice, ChoiceTag, UrlParameter
from django.utils.safestring import mark_safe
from django.http.response import HttpResponse
import csv
from django.forms import TextInput
from django.db import models
from nested_admin import nested
from... |
# Copyright (c) 2018 Copyright holder of the paper Generative Adversarial Model Learning
# submitted to NeurIPS 2019 for review
# All rights reserved.
from rllab.misc.instrument import run_experiment_custom
from rllab.casadi.algos.parameter_estimation import ParameterEstimation
from rllab.dynamic_models.cartpole_model... |
# -*- coding: utf-8 -*-
"""
Module for command execution functions.
Copyright:
2022 by <NAME> <<EMAIL>>
All rights reserved.
This file is part of gitcache (https://github.com/seeraven/gitcache)
and is released under the "BSD 3-Clause License". Please see the ``LICENSE`` file
that is included as p... |
"""
Content Provider: Walters Art Museum
ETL Process: Use the API to identify all CC licensed images.
Output: TSV file containing the images and the
respective meta-data.
Notes: http://api.thewalters.org/
Rate limit: 25... |
import os
import json
import yaml
import shutil
import logging
import tempfile
import proto.python.ast_pb2 as ast_pb2
from os.path import basename, dirname, abspath, join
from proto.python.ast_pb2 import AstLookupConfig, AstNode, FileInfo
from proto.python.module_pb2 import ModuleResult, ModuleSummary, ModuleStatic
fr... |
"""
Introspective Sort is hybrid sort (Quick Sort + Heap Sort + Insertion Sort)
if the size of the list is under 16, use insertion sort
https://en.wikipedia.org/wiki/Introsort
"""
import math
def insertion_sort(array: list, start: int = 0, end: int = 0) -> list:
"""
>>> array = [4, 2, 6, 8, 1, 7, 8, 22, 14, 5... |
"""Dataset preprocessing functions
"""
import numpy as np
import skimage
import skimage.exposure
from random import randint
import numbers
from PIL import ImageMath
import torch
class BatchNormalizeTensor(object):
def __init__(self, mean, std, invert_batchnormalized_tensors = False):
self.mea... |
# -*- coding: utf-8 -*-
from __future__ import print_function, division
import argparse
import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim import lr_scheduler
from torch.autograd import Variable
import numpy as np
import torchvision
from torchvision import datasets, models, transforms
imp... |
from datetime import datetime, timedelta
import json
from django import template
from django.conf import settings
from django.core.urlresolvers import reverse
from django.template.loader import render_to_string
from django.utils.datastructures import SortedDict
from django.utils.safestring import mark_safe
from django.... |
# This file is part of Hypothesis, which may be found at
# https://github.com/HypothesisWorks/hypothesis/
#
# Most of this work is copyright (C) 2013-2021 <NAME>
# (<EMAIL>), but it contains contributions by others. See
# CONTRIBUTING.rst for a full list of people who may hold copyright, and
# consult the git log if yo... |
#!/usr/bin/env python
import sys
import argparse
import csv
import subprocess
from six.moves import configparser
import smtplib
import re
import datetime
from email.mime.text import MIMEText
DOMAIN_LIST_FILE = 'config/domains.csv'
def sample_func():
return 0
class State:
OK = 'OK'
NotFound = 'Not found'... |
#encoding=utf-8
import datetime, time
import re
def get_year_start_end():
import calendar
day_now = time.localtime()
day_begin = '%d-01-01' % (day_now.tm_year) # 月初肯定是1号
wday, monthRange = calendar.monthrange(day_now.tm_year, 12)
day_end = '%d-12-%02d' % (day_now.tm_year,monthRange)
return d... |
#!/usr/bin/python3
import subprocess
import os
import sys
import json
from argparse import ArgumentParser
class Grader:
basic_case_dir = "./basic_cases"
basic_cases = {
1 : "decl",
2 : "expr1",
3 : "expr2",
4 : "expr3",
5: "function1",
6: "function2",
7... |
from math import ceil
import tensorflow as tf
def out_width(in_width, filter_width, stride):
return ceil(float(in_width - filter_width + 1) / float(stride))
def inference(spectrogram,
seq_length,
n_syllables,
batch_size=11,
input_vec_size=513,
... |
# 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
# distributed under t... |
#
# Copyright (c) 2019 nexB Inc. and others. All rights reserved.
# http://nexb.com and https://github.com/nexB/scancode-toolkit/
# The ScanCode software is licensed under the Apache License version 2.0.
# Data generated with ScanCode require an acknowledgment.
# ScanCode is a trademark of nexB Inc.
#
# You may not use... |
"""Main module for identifying ableist language in job descriptions."""
from dataclasses import dataclass
from typing import List, Union
import click
import spacy
from ableist_language_detector.ableist_word_list import ABLEIST_VERBS, AbleistLanguage
nlp = spacy.load("en_core_web_sm")
@dataclass
class AbleistLangu... |
"""
Utility functions that can clone lasagne network layers in a custom way.
[Will be] used for:
- target networks, e.g. older copies of NN used for reference Qvalues.
- DPG-like methods where critic has to process both optimal and actual actions
"""
from copy import deepcopy
import lasagne
from .format import check... |
"""Hardware Backend for the SR v4 motor board."""
from threading import Lock
from typing import Callable, List, Optional, Set, Type, cast
from serial import Serial, SerialException, SerialTimeoutException
from serial.tools.list_ports import comports
from serial.tools.list_ports_common import ListPortInfo
from j5.back... |
import requests
import logging
import re
from urllib import urlencode as e
from urlparse import parse_qsl as d
from brushfire.core.types import GroupedFRange
URL_LENGTH_MAX = 1024
DEFAULT = 0xDEFA17
logger = logging.getLogger('brushfire.driver.solr')
class Url(object):
def __init__(self, start, path, params=())... |
#!/usr/bin/env python
# digital_io_panel.py
# Copyright (C) 2017 Niryo
# All rights reserved.
#
# 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 3 of the License, or
# (at your op... |
import math
# WGS-84：GPS坐标系
# GCJ-02：火星坐标系，国测局02年发布的坐标体系，高德，腾讯等使用。
# BD-09：百度坐标系，百度自研，百度地图使用。
# 谷歌用wgs84、高德(国内大多数)用火星坐标、百度用百度坐标
def bd09togcj02(bd_lon, bd_lat):
"""百度坐标转火星坐标"""
x_pi = 3.14159265358979324 * 3000.0 / 180.0
x = bd_lon - 0.0065
y = bd_lat - 0.006
z = math.sqrt(x * x + y * y) - 0.0000... |
import numpy
import six
from chainer.dataset import dataset_mixin
class SubDataset(dataset_mixin.DatasetMixin):
"""Subset of a base dataset.
SubDataset defines a subset of a given base dataset. The subset is defined
as an interval of indexes, optionally with a given permutation.
If ``order`` is gi... |
import pandas as pd
import streamlit as st
from optimizer import Optimizer
from database import PersonSettings, TaskSettings, Database
def css_color_white_for_zero(float_val: float) -> str:
color = "white" if float_val == 0 else "black"
return f"color: {color}"
def md_heading(
content: str, level: ... |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
# -*- coding: utf-8 -*-
"""
Created on Fri Dec 2 22:29:54 2016
@author: tomi
"""
from __future__ import division
def fig_seq_positions(pOA):
dict={'proOmpA': pOA}
aas = {'F','W','Y','R'}
for motif in aas:
counter=0
for u, seq in dict.iteritems():
i=-1 #start search... |
import timeit
import click
import random
import networkx as nx
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from config_utils import ConfigFile
from graph_gen import GraphGenerator
from policy import bound_policy
# from seirs_extended import ExtendedNetworkModel, custom_exponential_graph
fro... |
import os, sys
sys.path.append(os.path.dirname(os.path.realpath(__file__)))
import cvxpy as cp
import numpy as np
from policy import Policy, PolicyWithPacking
class MinTotalDurationPolicy(Policy):
def __init__(self, solver, num_threads=None):
self._name = 'MinTotalDuration'
self._min_total_durat... |
import torch
import numpy as np
import sys
import scipy.linalg as sli
import torch.nn.functional as F
import torch.nn as nn
from torch import optim
# referred from https://github.com/penghu-cs/SDML/blob/master/utils_PyTorch.py
def to_tensor(x):
x = torch.tensor(x)
if torch.cuda.is_available():
x = x.c... |
import warnings
import unittest
import numpy as np
import openmdao.api as om
from openmdao.utils.testing_utils import use_tempdirs
import dymos as dm
class BrachODEStaticOutput(om.ExplicitComponent):
def initialize(self):
self.options.declare('num_nodes', types=int)
self.options.declare('stati... |
import logging
import pytest
import retrying
import sdk_cmd
import sdk_install
import sdk_marathon
import sdk_plan
import sdk_upgrade
import sdk_utils
from tests import config
log = logging.getLogger(__name__)
@pytest.fixture(scope="module", autouse=True)
def configure_package(configure_security):
try:
... |
# Copyright (C) 2021 Nippon Telegraph and Telephone 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/LICE... |
import torch.nn as nn
import numpy as np
from src import helpers
class Backbone(nn.Module):
def __init__(self):
"""
Backbone base class
"""
super().__init__()
self.layers = nn.ModuleList()
def forward(self, x):
for layer in self.layers:
x = layer(x... |
import dash
import json
import time
import argparse
import dash_cytoscape as dcy
from pathlib import Path
from pprint import pprint
from dash.dependencies import Input, Output, State
from dash.exceptions import PreventUpdate
from stormspotter.dash.layout.cytoscape import NODE_LAYOUTS
from stormspotter.dash.layout.ui ... |
"""
pysteps.blending.clim
=====================
Module with methods to read, write and compute past and climatological NWP model
skill scores. The module stores the average daily skill score for the past t days
and updates it every day. The resulting average climatological skill score is
the skill the NWP model skill ... |
"""Tools for creating animations and movies."""
import base64
from tempfile import TemporaryDirectory
from pathlib import Path
import matplotlib as mpl
from matplotlib.animation import FuncAnimation, _log, writers
from matplotlib import pyplot as plt
encodebytes = base64.encodebytes
class MyFuncAnimation(FuncAnim... |
#!/usr/bin/env python3
import json
import sys
import os
import datetime
import requests
from flask import Flask, render_template
from flask_socketio import SocketIO, send, emit
'''
app = Flask(__name__)
app.config['SECRET_KEY'] = 'secret!'
socketio = SocketIO(app,cors_allowed_origins='*')
socketio.connect("http://0.... |
from os import path
from typing import Sequence, Union
import torch
import torch.nn as nn
from medical_seg.networks.blocks import Convolution, UpSample
from medical_seg.networks.layers.factories import Conv, Pool
from medical_seg.utils import ensure_tuple_rep
from medical_seg.networks.layers.transformer import Trans... |
import argparse
import ast
import logging
import os
import sys
import pandas as pd
import torch
from tqdm import tqdm
from transformers import BartForConditionalGeneration, MT5ForConditionalGeneration, AutoTokenizer
from transformers import logging as transformers_logging
sys.path.append(os.path.join(os.getcwd())) ... |
import pandas as pd
import numpy as np
from graphviz import Digraph
from . import pm_extra, utils
def petrinet2rg(net, init_marking, final_marking, staterep=pm_extra.default_staterep):
is_inv = lambda t: t.label is None
is_inv_rg = lambda t: t.name is None
inv_trans = list(filter(is_inv, net.transition... |
"""Code regarding the PEtab YAML config files"""
import os
from typing import Any, Dict, Union, Optional, List
import jsonschema
import yaml
from .C import * # noqa: F403
import numpy as np
SCHEMA = os.path.join(os.path.abspath(os.path.dirname(__file__)),
"petab_schema.yaml")
def validate(y... |
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 24 2017 18:57UTC
@author: <NAME> (<EMAIL>)
Functions for the Validation of the dimensionality of pint Quantities.
Dimensions:
M: Mass
L: Length
T: Time
N: Number/Moles
"""
from functools import wraps
import pint
from pint.errors import DimensionalityErro... |
import argparse
import logging
import pickle
import os
import json
import numpy as np
from sklearn import metrics
from utils.fileprovider import FileProvider
from preprocessing.reader import EvalitaDatasetReader, read_emoji_dist
from keras.models import model_from_json
from keras.preprocessing import sequence
logging.... |
import csv
from datetime import datetime
from pathlib import Path
from shutil import copyfile
from typing import Any
from typing import Dict
from typing import List
from typing import Tuple
from zipfile import ZipFile
import dask.dataframe as dd
import pandas as pd
import requests
from stqdm import stqdm
import stream... |
import functools
import signal
import sys
import numpy as np
from core.tf_config import configure_gpu, configure_precision, silence_tf_logs
from core.dataset import create_dataset
from utility.utils import Every, TempStore
from utility.graph import video_summary
from utility.run import Runner, evaluate
from utility.ti... |
from marshmallow import Schema, pre_load, ValidationError, validate
from marshmallow.fields import String, Dict, Url, Nested, List, Date, Integer, Boolean
from api.enums.descriptor import LayerProtocol, CpRole, AddressType, IpVersion, ServiceAvailabilityLevel, AffinityType, \
AffinityScope, LcmEventType
class Ad... |
from tkinter import *
import turtle
import time
import math
# the tree class and everything in it
class Tree:
def trunk_size(self):
"""I base this off of the convergence value for geometric series that sums to 500
last part accounts for offset"""
return 500 * (1 - self.proportion) * (3 -... |
import datetime
import logging
from async_rediscache import RedisCache
from dateutil.parser import isoparse
from discord import Embed, Member
from discord.ext.commands import Cog, Context, group, has_any_role
from bot.bot import Bot
from bot.constants import Colours, Emojis, Guild, Icons, MODERATION_ROLES, Roles
from... |
#!/usr/bin/env python
# -----------------------------------------------------------------------------
# Turquoise - VHDL linter and compilation toolchain
# Copyright (c) 2020-2021: Turquoise team
#
# File name: Architecture.py
#
# Description: Implementation of DFAs that parse through architecture syntax
#
# ------... |
import statsmodels.api as sml
import numpy as np
import pandas as pd
# TODO: Implement Meta Labeling
def t_value_lin(sample):
"""
t value from a linear trend
:param sample:
:type sample:
:return:
:rtype:
"""
x = np.ones((sample.shape[0]), 2)
x[:, 1] = np.arange(sample.shape[0])
... |
from __future__ import division, print_function
import numpy as np
import collections
#import pyximport; pyximport.install(
# setup_args={"include_dirs":np.get_include()},
# reload_support=True)
from .looptools_c import get_parent_loops, get_stationary_loops
def convert_loops_to_sites(loops, r_sites=None):
... |
"""retrive local user settings"""
from configparser import SafeConfigParser
import os as __os
from os.path import split as __split, join as __join, abspath as __abspath, \
isfile as __isfile
from sys import modules
self = modules[__name__]
# define various filepaths
trnlib_directory = __join(__split(__abspath(__... |
"""
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this ... |
import cv2
import numpy as np
import glob
import sys
import os
sys.path.append('C:\Program Files\Python36\Lib\site-packages\libsvm-3.22\python')
from svmutil import *
from datetime import datetime
import matplotlib.pyplot as plt
from sklearn import datasets
from sklearn import svm
from matplotlib.colors imp... |
from django import forms
from django.conf.urls import url as urls_url
from django.contrib import admin
from django.contrib.auth import get_user_model, login
from django.contrib.auth.decorators import permission_required
from django.contrib.messages import ERROR
from django.http import HttpResponseRedirect
from django.s... |
import unittest
import os
import pytest
import shutil
import datetime
from unittest import mock
from parsons.etl.table import Table
from parsons.utilities.datetime import date_to_timestamp, parse_date
from parsons.utilities import files
from parsons.utilities import check_env
from parsons.utilities import json_format
f... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 5 11:10:44 2020
@author: pengning
"""
import numpy as np
import mpmath
from mpmath import mp
from .mpmatrix_tools import mp_conjdot
from .spatialProjopt_Zops_mpmath import Z_TT, grad_Z_TT
from .spatialProjopt_vecs_mpmath import get_Tvec, get_Tvec_... |
import typing
import collections
import pandas as pd
import glob
import re
from itertools import product
from pycoingecko import CoinGeckoAPI
from datetime import datetime, timedelta, timezone
from utils import load_json, save_json, json_serialize_datetime
cg = CoinGeckoAPI()
symbol_id_map = {}
def initialize_coingeck... |
"""
Models for causal set graphs.
Available methods:
minkowski_interval(N, D)
de_sitter_interval(N, D, eta_0, eta_1)
causal_set_graph(R, p)
"""
# Copyright (C) 2016 by
# <NAME> <<EMAIL>>
# All rights reserved.
# BSD license.
__author__ = "\n".join(["<NAME> (<EMAIL>)"])
import networkx as nx
import nump... |
"""
Item Shop
---------
This is an item shop that allows a player to purchase and sell to a
shop owner.
Requirements:
* Inventory shall be available for both the shop and player
* Random values shall be used for shop and player currency, items, item quantities, etc.
* There shall be a fixed set of items that ... |
# -*- coding: utf-8 -*-
# Created by: Vincentzyx
import os
import torch
from torch import nn
from torch.utils.data import DataLoader
from torch.utils.data.dataset import Dataset
from douzero.dmc.models import model_dict_resnet
import time
from douzero.env.game import GameEnv
from douzero.evaluation.deep_agent import De... |
#!/usr/bin/env python3
# -*- encoding: utf-8; py-indent-offset: 4 -*-
"""
File: watch_later.py
Description: Searches YouTube subscriptions for new videos (since last run),
and adds any new videos to 'Water Later' playlist.
"""
__author__ = '<NAME>'
__copyright__ = '(c) <NAME> 2020'
__licence__ = 'MIT'
import ar... |
import argparse
import logging
import random
import os
import gzip
import csv
import math
from collections import defaultdict, OrderedDict
from datetime import datetime
from typing import List, Dict
import numpy as np
import torch
from torch.utils.data import DataLoader
from sentence_transformers import SentenceTransf... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.