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import argparse
import datetime
import getpass
import logging
import os
import sys
from lighthive.client import Client
from lighthive.datastructures import Operation
from pymongo import MongoClient
from .utils import generate_keys
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
logging.basicConfig... |
"""
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 the License ... |
from django.core.exceptions import FieldError
from django.utils.datastructures import SortedDict
from base import BaseTable, DeclarativeColumnsMetaclass, \
Column, BoundRow, Rows, TableOptions, rmprefix, toggleprefix
__all__ = ('ModelTable',)
class ModelTableOptions(TableOptions):
def __init__(self, options... |
from __future__ import annotations
from abc import abstractmethod
from typing import TYPE_CHECKING, Callable, Iterable, List, Optional, Tuple, Union
from open_mafia_engine.core.enums import ActionResolutionType
from open_mafia_engine.core.event_system import (
Action,
EPostAction,
EPreAction,
Event,
... |
import random, threading, time
import numpy as np
from utils import policy
from utils.curiosity import CuriosityPrio
from utils.learning_rate import LinearAutoSchedule as LinearSchedule
def critic_launch(cfg, bot, objective_id, task_factory, update_goal, ping, sync, loss_gate, share_gate, stats):
critic = Critic(... |
import csv
import math
from absl import app, flags
import matplotlib
matplotlib.use("agg")
import matplotlib.pyplot as plt
import numpy as np
from pylot_utils import ProfileEvent, ProfileEvents, fix_pylot_profile
from utils import setup_plot
import pandas as pd
import seaborn as sns
from utils import *
from p... |
""" Functions for decoding dataclass fields from "raw" values (e.g. from json).
"""
from collections import OrderedDict
from dataclasses import Field, MISSING, fields, is_dataclass
from functools import lru_cache
from functools import partial
from logging import getLogger
from typing import TypeVar, Any, Dict, Type, Ca... |
bl_info = {
"name": "Weld Object Normals",
"author": "Some asshole",
"version": ( 0, 1, 0 ),
"blender": (2, 76, 0),
"location": "Tool shelf",
"description": "Weld the normals of two objects.",
"show_expanded": True,
"category": "Object"}
import bpy
import bmesh
import os
import logging... |
from sqlalchemy import Boolean, Column, ForeignKey, Integer, String
from sqlalchemy.dialects.postgresql import DOUBLE_PRECISION, TEXT, TIMESTAMP, \
VARCHAR, INTEGER, REAL, BOOLEAN, DATE
from database import Base
class CovidCountryWeekly(Base):
__tablename__ = "ecdc_covid_country_weekly"
iso_a3 = Column(TE... |
from haydi.base import basictypes as hdt
from haydi import USet
def test_uset_flags():
ax = USet(3, "a")
assert not ax.filtered
assert ax.step_jumps
assert ax.strict
def test_compare_atoms():
ax = USet(3, "a")
bx = USet(5, "b")
a1, a2, a3 = ax.all()
b3 = bx.get(3)
b4 = bx.get(4)... |
# Copyright (c) 2022 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 ap... |
import torch
from torch.utils.data import Dataset
import re
#Based on Batch from Bertsum Implementation
class Batch(object):
def _pad(self, data, pad_id, width=-1):
if (width == -1):
width = max(len(d) for d in data)
rtn_data = [d + [pad_id] * (width - len(d)) for d in data]
ret... |
"""
pong.py - A python Pong clone.
Example from chapter 1 of the book "Python Game Programming by Example":
https://www.packtpub.com/game-development/python-game-programming-example
"""
import tkinter as tk
class GameObject(object):
"""
Defines behavior common for all game objects.
All objects in the ga... |
"""CheXpert LaTex exporter.
Export CheXpert statistics and graphs to be imported in LaTex documents.
The goal is to automate the generation of all tables stastical tables used in papers, so that they
are accurate and can be regenerated quickly if the dataset is upgraded.
"""
import os
import re
from typing import Li... |
# Copyright 2021 UW-IT, University of Washington
# SPDX-License-Identifier: Apache-2.0
"""
Interfacing with the Student Web Service, Registration_Search query.
"""
import logging
import json
import re
from urllib.parse import urlencode
from decimal import Decimal, InvalidOperation
from datetime import datetime
from uw... |
# Libraries
import json
import numpy as np
import pandas as pd
def load_features_map(filepath):
"""This method loads the features map json file.
Parameters
----------
Return
------
"""
# Reading the json as a dict
with open(filepath) as json_data:
data = json.load(json_data)
... |
"""Platform for sensor integration."""
from __future__ import annotations
import logging
from typing import Final
from homeassistant.core import HomeAssistant
from homeassistant.config_entries import ConfigEntry
from homeassistant.const import (ELECTRIC_POTENTIAL_VOLT, ELECTRIC_CURRENT_AMPERE, POWER_WATT, POWER_KILO_... |
# Copyright (C) 2018 TU Dresden
# Licensed under the ISC license (see LICENSE.txt)
#
# Authors: <NAME>
from collections.abc import Sequence
from itertools import chain, count
class listOperations(object):
"""Class contains custom functions to operate on lists, that are needed to prepare platforms and mappings to... |
#!/usr/bin/env python3.4
# Copyright 2018 The go-python Authors. All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
"""
Write symtable_data_test.go
"""
import sys
import ast
import subprocess
import dis
from symtable import symtable
try:
# ... |
#!/usr/bin/env python
#
# Copyright (C) 2009 <NAME>
#
# 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... |
import os
import uuid
from datetime import datetime
import numpy as np
import pandas as pd
import pytest
import pytz
from google.protobuf.duration_pb2 import Duration
from pandas.testing import assert_frame_equal
from feast.client import Client
from feast.data_source import BigQuerySource, FileSource, KafkaSource
fro... |
"""Analog log report renderers."""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import abc
import csv
try:
from cStringIO import StringIO
except ImportError:
from io import StringIO
import textwrap
from tabulate import tabulate
from analog.except... |
import requests
from bs4 import BeautifulSoup
import re
import json
import time
import os
import config
def get_episodes(get_path=None, local_file=None):
# SET UP AND FETCH DATA
if get_path is None:
# if no get_path was supplied, start from scratch
get_path = '/show-notes'
# fetch data from website (or a... |
from __future__ import print_function
import os
import re
import sys
import git
import gzip
import errno
import base64
import argparse
import pkg_resources
from lxml import etree
from datetime import date
if "2.7" in sys.version:
from StringIO import StringIO
from . import generate
from . import __version__
from .... |
from __future__ import annotations
import math
import random
from collections import deque
from typing import List, Optional, Tuple
from tqdm import tqdm
from utttpy.game.action import Action
from utttpy.game.ultimate_tic_tac_toe import UltimateTicTacToe
class MonteCarloTreeSearch:
def __init__(
self,... |
import subprocess
from flask import render_template, redirect, flash, request, url_for
from app import app, models, db, lm
from forms import RuleForm, DeviceForm, GroupForm, LoginForm, ChangePasswordForm
from flask_login import login_user, logout_user, login_required
@lm.user_loader
def load_user(userid):
return ... |
import asyncio
import bisect
import importlib
import inspect
import logging
import os
from datetime import datetime, timedelta
import aiohttp
import plyvel
import telethon as tg
import sentry_sdk
from . import command, module, modules, custom_modules, util
class Listener:
def __init__(self, event, func, module,... |
"""
TONAS Loader
.. admonition:: Dataset Info
:class: dropdown
This dataset contains a music collection of 72 sung excerpts representative of three a cappella singing styles
(Deblas, and two variants of Martinete). It has been developed within the COFLA research project context.
The distribution is as... |
import torch.optim as optim
from torch.utils import data
from e2efold.models import ContactNetwork, ContactNetwork_test, ContactNetwork_fc
from e2efold.models import ContactAttention, ContactAttention_simple_fix_PE
from e2efold.models import ContactAttention_simple
from e2efold.common.utils import *
from e2efold.commo... |
""" API functionality for OCW course site import """
import json
import logging
import re
import uuid
from copy import deepcopy
import dateutil
import yaml
from django.conf import settings
from main.s3_utils import get_s3_object_and_read, get_s3_resource
from main.utils import get_dirpath_and_filename, is_valid_uuid
... |
"""
This data implement model's metric
:paper author: hxq
:code author: hxq
:code convert: shy
"""
import math
from sklearn import metrics
import numpy as np
import bottleneck as bn
def ndcg_binary_at_k_batch(x_pred, heldout_batch, k=100):
"""
normalized discounted cumulative gain@k for binary relevance
... |
# -*- coding: utf-8 -*-
"""
Created on Mon Oct 22 14:23:14 2018
@author: omalleyc
"""
from collections import defaultdict
import pandas as pd
import gurobipy as gb
import sys
LAMBDA_CONSTANT_LOWER= -gb.GRB.INFINITY #gb.GRB.INFINITY
LAMBDA_CONSTANT_UPPER= gb.GRB.INFINITY #gb.GRB.INFINITY
# Class... |
"""
Module dedicated to enums and flags describing access rights for all kinds of securables.
"""
from enum import IntFlag
class NTSpecificRights(IntFlag):
"""
The 'specific rights' part of an NT access mask. This particular data type unifies rights for all possible kinds of
securables, and is used in da... |
import streamlit as st
from PIL import Image
import requests
import pandas as pd
import base64
from fake_useragent import UserAgent
st.set_page_config(page_title='Co-Win: Covid-19 Vaccination Tracker', page_icon='๐', layout = 'centered', initial_sidebar_state = 'expanded')
ua = UserAgent()
state_response =... |
import numpy as np
import argparse
import config
import os
import datetime
import sys
import tensorflow.keras as keras
from tensorflow.keras.layers import Input, Conv2D, Flatten, Dense, Conv2DTranspose, Lambda, Reshape, Layer
from tensorflow.keras.models import Model
from tensorflow.keras.optimizers import Adam
from te... |
import os
import re
import discord
import logging
from googletrans import Translator
from google_trans_new import google_translator
channel_language_separator = '-_'
local_message_prefix = '//'
token = os.environ['DISCORD_BOT_TOKEN']
client = discord.Client()
logging.basicConfig(level=logging.INFO)
@client.event
as... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
from collections.abc import Sequence
from random import random
from time import perf_counter, sleep
import numpy as np
import pandas as pd
import yaml
from sklearn.cluster import KMeans as CPUKMeans
from sklearn.datasets import make_blobs
from sklearn.metrics i... |
from collections import defaultdict
from typing import Dict, List, Optional
from scripts.ensemble import EnsembleChoir, EnsembledCollection, Ensembler
from scripts.utils import ENTITIES, RELATIONS, Collection
# =======================================================================
# - VotingEnsembler ---------------... |
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... |
# Software License Agreement (BSD License)
#
# Copyright (c) 2011, <NAME>, Inc.
# 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 copyri... |
# Copyright (c) 2020 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 appli... |
r"""@package motsfinder.metric.discrete.discretize
Helpers to create discrete versions of (\eg analytical) metrics.
These can be used to compare results obtained with analytically implemented
metrics with those of the discrete metric classes.
@b Examples
```
# Use a simple Brill-Lindquist metric as example here... |
"""
Train and test the key identification CNN
"""
import database
import generator
import eda
from glob import glob
import os
import numpy as np
import keras
from keras.models import Model
from keras.layers import Input, Conv2D, MaxPooling2D, add
from keras.layers import Dropout, Flatten, Dense
from keras.callbacks... |
# Copyright (c) 2020 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 appli... |
'''
This script plots the four test predictions of the predictive
expectation and variance of BAR-DenseED seen in Figure 13 of the paper.
===
Distributed by: <NAME> (MIT Liscense)
- Associated publication:
url: http://www.sciencedirect.com/science/article/pii/S0021999119307612
doi: https://doi.org/10.1016/j.jcp.2019.10... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Dec 16 08:42:47 2021
@author: <NAME>
@name: roi-aselect.py
"""
import argparse
import csv
import cv2
import os
import sys
import numpy as np
from pathlib import Path
s_default=20
th_default=5.0
threshold=-1
th_under=False
th_over=False
img_sel=[]
... |
import os
import json
import re
import numpy as np
from shutil import copyfile
from keras.optimizers import SGD
import keras.backend as K
from AlphaGo.ai import ProbabilisticPolicyPlayer
import AlphaGo.go as go
from AlphaGo.models.policy import CNNPolicy
from AlphaGo.util import flatten_idx
def _make_training_pair(st... |
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import pandas as pd
import itertools
from matplotlib import cm
def plot_color_table(df,
axis=1,
title=None,
rev_index=None,
color='RdYlGn',
... |
import discord
from discord.ext import commands
import asyncio
import json
from datetime import datetime
from random import choice
from aux.misc import round_down
from aux.stats import Stats
class InvalidNumberPlayers(Exception):
pass
class Warrior():
def __init__(self, member):
self.member = member
... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Dell EMC OpenManage Ansible Modules
# Version 3.3.0
# Copyright (C) 2019-2021 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)
#
from __future__ import (absolute_import, divi... |
from typing import List, Optional, Tuple
from collections import defaultdict
import pickle
import json
from os import path
import click
from tqdm import tqdm
from sklearn.feature_extraction.text import TfidfVectorizer
from flask import Flask, jsonify, request
import numpy as np
from qanta import util
from qanta.datas... |
from __future__ import annotations
import math
from collections import abc
from functools import partial
from typing import Callable, Iterable, List, Mapping, Optional, Sequence, Tuple, TypeVar, Union, cast
import numpy as np
import tensorflow as tf
from typing_extensions import TypeGuard
T1 = TypeVar("T1")
T2 = Typ... |
from django.utils.translation import ugettext as _
from dimagi.utils.decorators.memoized import memoized
from .utils import normal_format, format_percent
class HealthStatus(object):
# maps method name to header
method_map = [
('awc', "AWC"),
('beneficiaries', "Total # of Beneficiaries Regis... |
# Copyright (c) 2017 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import os
import re
from collections import defaultdict
def parse(filename):
"""Searches the file for lines that start with `# TEAM:` or `# COMPONEN... |
from decouple import config
import sys, os
from .analyze.analyzeSignal import calcPowers
from .analyze.pereiraChangeOfMean import pereiraLikelihood, getChangePoints, cleanLikelihoods
from .websocket import wsManager
from . import data as dataHp
import json
import numpy as np
from django.http import JsonResponse
de... |
#/usr/bin/python!
#####
# unmix_spectra.py performs fully-constrained least-squares
# spectral ummixing on an image file
#
# unmixing implementation described here:
# http://pysptools.sourceforge.net/abundance_maps.html
#
# based on the algorithm desribed here:
# <NAME>, <NAME>, and <NAME>. Fully Constrained
# Le... |
import factory
import names
import random
from faker import Faker
from datetime import datetime, timedelta
from vtn.models import *
import string
from django.utils import timezone
fake = Faker()
'''
CUSTOMER MODEL
name = models.CharField('Name', db_index=True, max_length=100, unique=True)
utility_id = models... |
"""
TextCNN Model for Sentiment Analysis
===============================================
This example shows how to use convolutional neural networks (textCNN)
for sentiment analysis on various datasets.
<NAME>. (2014). Convolutional neural networks for sentence classification.
arXiv preprint arXiv:1408.5882.
"""
# co... |
import datetime
import json
from carball.generated.api.metadata import player_loadout_pb2
from sqlalchemy import func, desc, literal
from backend.blueprints.spa_api.service_layers.utils import with_session
from backend.database.objects import Loadout, Game
from backend.database.startup import lazy_get_redis
from back... |
import re
import logging
from datetime import date, datetime
from itertools import groupby
from collections import defaultdict
from pyquery import PyQuery as pq
from werkzeug.urls import url_decode
from mptracker.scraper.common import (
Scraper, pqitems, get_cdep_id, sanitize, url_args, GenericModel)
from mptracker... |
import torch
import torchvision
import torch.nn.functional as F
from torch import nn, optim, autograd
from torch.autograd import Variable
from torchvision import transforms, utils
import os
import numpy as np
from summary import summary
BATCH_SIZE = 100
# NUM_LABELS = 10
# model_path = 'capsnet.pkl'
... |
#!/usr/bin/env python
import argparse
from glob import iglob as glob
from functools import partial
from itertools import starmap
import h5py
import pandas as pd
import numpy as np
from numba import jit
from scipy import linalg
from dautil.util import map_parallel
IDX = pd.IndexSlice
_REAL_TO_SIM = 1e-12
__version... |
import inspect
import logging
from datetime import datetime
from typing import Optional, Set, Callable
from celery.utils import uuid
from server.queue.celery.task_metadata import TaskMetadata
from server.queue.celery.task_status import task_status
from server.queue.framework import TaskQueue, BaseObserver
from server... |
import random
from testflows.core import *
from testflows.asserts import *
from clickhouse_backup.requirements.requirements import *
from clickhouse_backup.tests.common import *
from clickhouse_backup.tests.steps import *
@TestScenario
@Requirements(
RQ_SRS_013_ClickHouse_BackupUtility_TableEngines_OtherEngines... |
"""
Copyright 2017-present, Airbnb 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, sof... |
import time
import unittest
from typing import Union
import torch
import numpy as np
import random
from functools import lru_cache
from einops import rearrange, repeat
import torch.nn.functional as F
from torch import nn, einsum
@lru_cache()
def get_2dmask(seq_len, nx, ny, w, d):
return torch.BoolTensor([
... |
from __future__ import division, print_function, absolute_import
from __future__ import absolute_import
from __future__ import print_function
import numpy as np
import numpy
import PIL
from PIL import Image
np.random.seed(1337) # for reproducibility
from math import sqrt
import random
from keras.datasets import mnist... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from .lsa_attention import LocationSensitiveAttention
from .basic_layers import Linear, Conv1d
from .vc_utils import get_mask_from_lengths
class DecoderPrenet(nn.Module):
def __init__(self, in_dim, sizes):
super().__init__()
in_siz... |
import os
import sys
import simplejson as json
from dataclasses import dataclass
from datetime import datetime
from flask import Flask, url_for, send_from_directory, render_template, request, redirect, Response, jsonify
from flask_sqlalchemy import SQLAlchemy
from database import *
from models import *
app = Flask(__n... |
import pytest
# Note:
# Definitions for `cut1`, `cut2` and `cut_set` parameters are standard Pytest fixtures located in test/cut/conftest.py
# ########################################
# ############### PADDING ################
# ########################################
@pytest.mark.parametrize("direction", ["right... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Define miscellaneous utilities.
"""
from __future__ import absolute_import
from debtcollector import removals
from collections import Iterable, OrderedDict
from itertools import tee
import os
import sys
import subprocess
import six
from six.moves import range, ... |
import binascii
from queue import Queue
from capstone import *
from capstone.arm64_const import *
import disassembler
import API
from formats.constructs import *
from formats.enums import *
import binascii
_ADRP_TYPES = {
"else": 0,
"text_sec": 1,
"data_sec": 2
}
class Analyzer():
def __init__(self, loa... |
from __future__ import unicode_literals
import json
import datetime
from django.core.urlresolvers import reverse
from django.db import models
from django.contrib.auth.models import User
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from dja... |
from os import listdir
from os.path import isfile, join
from PIL import Image
import numpy as np
import deep_nn_step_by_step as dnn
from sklearn.neural_network import MLPClassifier
from sklearn.externals import joblib
def flatten_image(img, is_car=True, flat_image_size=3072):
flat = list(img.getdata())
label ... |
# -*- mode: Python; tab-width: 4 -*-
#
# Walk the root directory of a project and create a table containing details
# of the files and directories it contains
#
import sys
import getopt
import os
import os.path
import subprocess
import configparser
import cmd
import json
import ctags
import sqlite3
ConfigFile = "tagba... |
# SPDX-License-Identifier: BSD-3-Clause
"""Functions for handling robot exclusion files ("robots.txt").
There is no official standard for these files: it started with a post
that was later developed into a draft RFC, but that was never finalized.
Later, several search engines invented their own extensions.
This modu... |
"""
Moire library.
See http://github.com/enzet/Moire
"""
import logging
import sys
from dataclasses import dataclass
from io import StringIO
from typing import Any, Callable, Optional
__author__: str = "<NAME>"
__email__: str = "<EMAIL>"
# Constants
COMMENT_BEGIN: str = "/*"
COMMENT_END: str = "*/"
TAG_MARKER: st... |
from pppr import aabb
import numpy as np
from pak.datasets.MOT import MOT16
from pak import utils
from pppr import aabb
from time import time
from cselect import color as cs
# ===========================================
# Helper functions
# ===========================================
def remove_negative_pairs(Dt, W, ... |
import discord
from discord import File
from discord.ext import commands
import time
import wget
import sys
import re
import pandas as pd
import os
import string
from selenium import webdriver
import random
import urllib
import json
import urllib.request
from openpyxl import Workbook
import bs4
from PIL import Image, ... |
#!/usr/bin/env python
"""
This is a script that receives two MuNG files. The first
is supposed to be the output of an OMR file, while the
second represents the expected MuNG (ground-truth.)
The script then computes evaluation metrics as regards
the notation assembly stage of the OMR pipeline.
"""
from __future__ import... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import shutil
import socket
import subprocess
import tempfile
import time
import geocoder
import mock
from six.moves import StringIO
from doom.sysinfo import get_local_ip
class TestCachedIP(object):
def test_get_cached_ip(self):
now = 1460174717.4... |
#!/usr/bin/env python
import argparse
from collections import OrderedDict
parser = argparse.ArgumentParser(description=
"Given files representing aligned, filtered R1 + R2 sequences, concatenate into"
"a single (non-continuous) alignment where the non-covered middle region has "
"been removed. Since seque... |
#!/usr/bin/env python
# https://www.microchip.com/wwwproducts/en/ATSAMD21E18
import attr
import time
from serial import Serial
import struct
from math import log10, sin, cos, acos, atan2, asin, pi, sqrt
from collections import deque
from collections import namedtuple
import numpy as np
import cv2
from slurm.rate import... |
# -*- coding: utf-8 -*-
"""
Unit tests for the submits
"""
import os
from django.test import TestCase, Client
from django.urls import reverse
from judge.tests.test_parse import ParseTest
from judge.models import FunctionProblem, ProcProblem, TriggerProblem, DiscriminantProblem, \
NumSubmissionsProblemsAchievement... |
#!/usr/bin/env python
u"""
grace_months_index.py
Written by <NAME> (05/2021)
Creates a file with the start and end days for each dataset
Shows the range of each month for (CSR/GFZ/JPL) (RL04/RL05/RL06)
Shows which months are missing for each dataset as **missing**
INPUTS:
base_dir: Working data directory for GRAC... |
"""
HTTP end-points for the Bookmarks API.
For more information, see:
https://openedx.atlassian.net/wiki/display/TNL/Bookmarks+API
"""
import logging
import eventtracking
from django.conf import settings
from django.core.exceptions import ObjectDoesNotExist
from django.utils.translation import ugettext as _
from dj... |
# 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... |
# Generate a report of all new staged test centers, optionally push to Unverified table.
import requests
import os
import importlib
from helpers import preprocessing_utils, gtc_auth
from dotenv import load_dotenv
import time
import click
import json
import boto3
DAY_IN_MILLIS = 60 * 60 * 24 * 1000
S3_BUCKET = 'stagi... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... |
# Copyright (c): <NAME> 2017-2019.
# Author: <NAME>
# Email: <EMAIL>
# Update Date: 2019/5/26 ไธๅ11:39
import math
import torch
from torch import nn
from torch.autograd import Variable
from torch.nn import Parameter
from torch.nn import functional as F
from torch.nn.modules.utils import _pair
from ..Arch import Ea... |
# -*- coding: utf-8 -*-
#
# This file is part of EUDAT B2Share.
# Copyright (C) 2017 CERN.
#
# B2Share 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... |
from ButtonClickHandler import PlayGameButtons as P
from GUI import root, tk, MyButton
from datetime import datetime
import threading
import socket
import json
import time
import sys
import GUI
class Client(object):
def __init__(self, game):
try:
self.game = game
s... |
import six
import os, errno, logging, inspect
from sqlalchemy.orm.session import object_session
from sqlalchemy.orm.interfaces import MapperProperty
from sqlalchemy.orm.attributes import get_history
from sqlalchemy.orm.util import class_mapper
from sqlalchemy import event
from sqlalchemy.util import set_creation_order
... |
from django.core.paginator import Paginator
from django.db.models import Count, Q
from rest_framework import status
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework.views import APIView
from rest_framework_simplejwt.views import (
TokenBlacklist... |
import glob
import numpy as np
import pandas as pd
from shapely.geometry import LineString,MultiLineString,Point,MultiPoint
from shapely.ops import linemerge
import pyproj
from sklearn.ensemble import RandomForestClassifier,ExtraTreesClassifier
from sklearn.preprocessing import StandardScaler
from sklearn.neighbors imp... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from models.modelUtils import ChebConv, Pool, residualBlock
import torchvision.ops.roi_align as roi_align
import numpy as np
class EncoderConv(nn.Module):
def __init__(self, latents = 64, hw = 32):
super(EncoderConv, self).__init__()
... |
import numpy as np
from PuzzleLib import Config
from PuzzleLib.Backend import gpuarray
from PuzzleLib.Modules.Module import ModuleError
from PuzzleLib.Modules.DeconvND import DeconvND
class Deconv1D(DeconvND):
def __init__(self, inmaps, outmaps, size, stride=1, pad=0, dilation=1, postpad=0, wscale=1.0, useBias=Tru... |
from termpixels.pixeldata import PixelData
from time import perf_counter
# Boxes
_BOX_T = 0
_BOX_B = 1
_BOX_L = 2
_BOX_R = 3
_BOX_TL = 4
_BOX_TR = 5
_BOX_BL = 6
_BOX_BR = 7
BOX_CHARS_ASCII = "--||++++"
BOX_CHARS_LIGHT = "โโโโโโโโ"
BOX_CHARS_LIGHT_ARC = "โโโโโญโฎโฐโฏ"
BOX_CHARS_HEAVY = "โโโโโโโโ"
BOX_CHARS_DOUBLE = "โโโโโ... |
import os
import json
import argparse
import numpy as np
import pickle as pkl
from tqdm import tqdm
import innvestigate
from DNN_training import get_damd_cnn
def explain_behavior(analyzer, data, labels, dims_to_explain, filenames, save_path):
"""
Creates explanation for each data instance
@param analyze... |
from lxml import html
import requests
import smtplib
import sched, time
import re
import argparse
from math import ceil
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
URL = "https://sfbay.craigslist.org/search/apa?query=berkeley&search_distance=1&postal=94704&availabilityMode=0"
D... |
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