text stringlengths 3.07k 12.6k |
|---|
#First draw the graph (let's consider the generic tree to be an undirected graph with no loops)
#Store as an adjacency list and do a BFS and find the minimum distance among all nodes(Count the number of edges)
#Store that information in an array of [spot,dictionary]-arrays
import queue, json
# Function for finding m... |
import sys
import tempfile
import pytest
from packaging.specifiers import Specifier
from .minimum_dependency_generator import (
find_min_requirement,
write_min_requirements
)
@pytest.fixture(scope='session', autouse=True)
def pandas_dep():
return 'pandas>=0.24.1,<2.0.0,!=1.1.0,!=1.1.1'
@pytest.fixture... |
######## User configuration ####################################################################
# For purposes of reproducing experiments, this section is the only one that needs configuration
# USERHOST must be of the form username@hostname; if empty, will access path locally
USERHOST = ""
PATH = "../output"
# Ou... |
load(
":poms_for_testing.bzl",
"COMPLEX_POM",
"GRANDPARENT_POM",
"MERGED_EXPECTED_POM",
"PARENT_POM",
)
load(":testing.bzl", "asserts", "test_suite")
load("//maven:poms.bzl", "poms")
load("//maven:xml.bzl", "xml")
def merge_properties_test(env):
parent = """<project><properties>
<foo>fo... |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 11 13:58:12 2017
@author: CW
"""
import numpy as np
import torch
import torch.nn as nn
from torch.nn import Module
import torchkit.nn as nn_
from functools import reduce
# aliasing
N_ = None
delta = 1e-6
softplus_ = nn.Softplus()
softplus =... |
from quart import request, Request, jsonify, exceptions
from functools import wraps
import typing
request: Request
def find_excess(valid_keys: typing.Iterable[str], data: dict) -> typing.List[str]:
"""
Finds excess data in the json `data` provided.
Returns any found arguments.
"""
return [key fo... |
#!/usr/bin/env python
"""Application controller and utility functions for MSMS (molecular surface
calculation)."""
import os
import tempfile
from cogent.app.util import CommandLineApplication, ResultPath
from cogent.app.parameters import FlagParameter, ValuedParameter
from cogent.format.xyzrn import XYZRNWriter
from c... |
import os
import cv2
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.metrics import confusion_matrix, accuracy_score
class KMeans:
def __init__(self, eps=1, max_iters=30):
self.eps = eps
self.max_iters = max_i... |
""" 使用inception计算图片特征，比对1008个值的前10，相似度度量分为两步：
1、比对索引的相似度，索引值相等的个数越多，图片越相似
2、比对索引值的差值，差值越小，图片越相似
"""
import os
from glob import glob
import numpy as np
import tensorflow as tf
flags = tf.app.flags
flags.DEFINE_string("model_dir", "model", "model directory")
flags.DEFINE_string("model_file", "classify_image_graph_def... |
import json
from datetime import datetime
from finalization.runtime import get_all_final_data_as_dicts
from processing.constants import EBAS_REPORTING_COMPOUNDS
from settings import CORE_DIR, JSON_PUBLIC_DIR
from plotting import create_monthly_ticks, MixingRatioPlot
from analyses.JFJ_overlays.parsers import read_jfj_... |
# -*- coding: utf-8 -*-
"""Console script for geotiff_reprojector."""
import sys
import os
import click
import numpy as np
import rasterio
import rasterio.features
from PIL import Image
import PIL
from osgeo import gdal
from tqdm import trange, tqdm
import geopandas as gpd
import pandas as pd
# disable pixel size che... |
import sys
from datetime import datetime, timedelta
from typing import Any, Dict
import click
from flask import Flask, current_app
from flask.cli import FlaskGroup, ScriptInfo, with_appcontext
from alerta.app import config, create_app, db, key_helper, qb
from alerta.auth.utils import generate_password_hash
from alert... |
# adapted from:
# https://github.com/pytorch/tutorials/blob/master/intermediate_source/reinforcement_q_learning.py
# date accessed: 2021.06.30
import os
from collections import namedtuple
from itertools import count
import gym
import neptune.new as neptune
import numpy as np
import torch
import torch.nn as nn
import ... |
# ------------------------------
#
# Routines to work with Genesis lattices.
# C
#
#-------------------------------------------------
# Helper functions
def ele_types(eles):
"""
Returns a list of unique types in eles
"""
return list(set([e['type'] for e in eles] ))
def eles_by_type(eles):
"""
... |
from .download import download
from bs4 import BeautifulSoup
from builtins import bytes
from itertools import islice
import json
import re
import requests
import sys
if sys.version_info.major < 3:
from pathlib2 import Path
else:
from pathlib import Path
client = requests.session()
folders_url = "https://drive... |
import time
import txaio
from datetime import datetime, timezone
from influxdb import InfluxDBClient
from influxdb.exceptions import InfluxDBClientError, InfluxDBServerError
from requests.exceptions import ConnectionError as RequestsConnectionError
# For logging
txaio.use_twisted()
LOG = txaio.make_logger()
def tim... |
#!/usr/bin/python3
import os, sys
from typing import *
from argparse import ArgumentParser
import mne
from mne import Epochs, Evoked
from mne.cov import compute_covariance, compute_raw_covariance
from mne.io import Raw
from mne.epochs import read_epochs
from mne.evoked import read_evokeds
from mne.minimum_norm import... |
import os, glob
import pandas as pd
import numpy as np
import torch
from itertools import compress
def imorphics_info():
df = pd.read_excel(os.getenv("HOME") + '/Dropbox/Z_DL/OAIDataBase/oai_active_contour_parameters.xlsx')
df['subject_id'] = df['subject_id'].values.astype(np.int32)
return df
def moaks0... |
"""
Benchmark Operator Class to run various workloads, performance and scale tests
previously known as Ripsaw and implemented from :
https://github.com/cloud-bulldozer/benchmark-operator
This operator can be used as an object or as a fixture
"""
# Internal modules
import logging
import tempfile
import ti... |
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import utils
import nn
import time
import argparse
import wandb
@tf.function
def train_step(x, pen_lifts, text, style_vectors, glob_args):
model, alpha_set, bce, train_loss, optimizer = glob_args
alphas = utils.get_alphas(len(x), alpha_... |
"""Test of Funsies user routines."""
# std
import json
import tempfile
from typing import Tuple
# external
import pytest
# funsies
from funsies import _context, _graph, fp, Fun, options, ui
from funsies._run import run_op
from funsies.config import MockServer
from funsies.types import Encoding, UnwrapError
def test... |
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.pyplot import cm
import subprocess
import sys
from mpl_toolkits.mplot3d import axes3d, Axes3D
def getDefName(definition):
if definition == 1:
return "NCD(x,y) = max {C(x|y*),C(y|x*)} / max{C(x), C(y)}"
elif definition == 2:
retu... |
import ravop.core as R
import sys
from sklearn.datasets import load_wine
from sklearn.model_selection import train_test_split
from sklearn.metrics import f1_score
from ravcom import inform_server
class Node:
def __init__(self, predicted_class, depth=None):
self.predicted_class = predicted_class
sel... |
from tkinter import *
def toggle_eyes():
current_color = c.itemcget(eye_left, 'fill')
new_color = c.body_color if current_color == 'white' else 'white'
current_state = c.itemcget(pupil_left, 'state')
new_state = NORMAL if current_state == HIDDEN else HIDDEN
c.itemconfigure(pupil_left, state=new_st... |
######################################################################################################################
# Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# ... |
import struct
import sys
import argparse
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import classification_report
from os.path import exists
# assuming MNIST dataset file format (big endian)
def dataset_reader(path):
f = open(path, 'rb')
magic, size, rows, cols = struct.unpack(">II... |
from detectron2.utils.logger import setup_logger
import pandas as pd
import numpy as np
import cv2
import random
import matplotlib.pyplot as plt
from PIL import Image
import os
import numpy as np
import json
from detectron2 import model_zoo
from detectron2.engine import DefaultPredictor, DefaultTrainer
from detectron2.... |
# -*- coding: utf-8 -*-
import os
import json
import datetime
from functools import wraps
from flask import render_template, session, redirect, url_for, current_app, \
abort, flash, request, make_response, g
from flask_login import login_required, login_user, logout_user, current_user
from wtforms import HiddenFiel... |
"""Deep Q model
The functions in this model:
======= step ========
Function to chose an action given an observation
Parameters
----------
observation: tensor
Observation that can be feed into the output of make_obs_ph
stochastic: bool
if set to False all the actions are always de... |
import ctypes
from pyglet.gl import *
from util import Vector3
class Renderer:
# sets up the openGL enable/disables
def __init__(self):
self.currData = None # used to reduce state changes
self.currTexture = None # used to reduce state changes
self.fogEnabled = False
glEnable(GL_DEPTH_TEST) # E... |
'''
BSD Licence
Copyright (c) 2016, Science & Technology Facilities Council (STFC)
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright no... |
import os
def print_head():
print("=======================================================================")
print("Gestión de notas - \"<NAME> - Desarrollo / Formación\"")
print("=======================================================================")
print("\n\t\t\tDATOS GENERALES")
print("=====... |
# coding:utf-8
import argparse
import sys
from commands import Commands
from . import __version__
def build_parser():
parser = argparse.ArgumentParser(
description='ExactTarget Command Line Interface Tool.')
parser.add_argument(
'-v', '--version',
action='version', version='%(prog)s ' ... |
# -*- coding: utf-8 -*-
# Builtin Modules
import os
import sys
import socket
import simplejson as json
import logging
import time
import ssl
# 3rd-party Modules
from celery import Celery, signals
import redis
import psutil
# Project Modules
from worker.utils import yaml_resources, toolkit
# Configure
print_detail =... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
根据count表达式动态生成新的变量
"""
import base64
from threathunter_common.util import binary_data
from nebula_meta.variable_filter import Filter
from nebula_meta.variable_model import VariableModel, add_variable_to_registry
from nebula_meta.variable_function import Function
from... |
import functional as F
import math
import copy
from sympy import Symbol, pprint, solve
def shape(matrix):
if not F.is_sequence(matrix): return None
shapes = []
acc_matrix = matrix
while True:
matrix_length = len(acc_matrix)
shapes.append(matrix_length)
if not F.is_sequence(ac... |
import json
import urllib
import sys
from httplib import HTTPConnection
from pyld import jsonld
class Entity(object):
"""Represents and entity in the ontology, created from its expanded
JSON-LD representation.
Attributes:
jsonld: the expanded JSON-LD representation of the entity.
"""
def... |
# pylint: skip-file
import logging
from inspect import signature
from collections import OrderedDict as odict
from recipes.caches import to_file, Cache, CacheEncoder, CacheDecoder
from recipes.caches.decor import check_hashable_defaults
from pathlib import Path
import pickle
import tempfile
import pytest
import itertoo... |
import pathlib
import sys
from typing import List, Tuple, Dict, Any
import matplotlib.colors as mcolors
import matplotlib.pyplot as plt
from hcb.artifacts.make_lambda_plots import DesiredLineFit, project_intersection_of_both_observables
from hcb.tools.analysis.collecting import MultiStats
from hcb.tools.analysis.plot... |
"""
owtf.managers.config_manager
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Manage configuration methods.
"""
import logging
import os
import yaml
from owtf.config import config_handler
from owtf.lib.exceptions import InvalidConfigurationReference
from owtf.models.config import Config
from owtf.utils.error import abort_framework
fr... |
import sys
import os
import subprocess
import shutil
INPUT_DIR = sys.argv[1]
OUTPUT_DIR = sys.argv[2]
SOOT_JAR = sys.argv[3]
def compile(classpath, package, java_file, dest_dir):
classes_dir = os.path.join(dest_dir, 'build', 'classes')
java_file_path = os.path.join(package, java_file)
src_dir = os.path.j... |
""" This module is highly inspired by: https://github.com/pytorch/tnt
BSD 3-Clause License
Copyright (c) 2017- <NAME>,
Copyright (c) 2017- <NAME>,
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Re... |
import logging
from django.conf import settings
from django.contrib import messages, auth
from django.contrib.auth import login
from django.contrib.auth.models import User
from django.contrib.auth import views
from django.db.models import Q
from django.shortcuts import redirect, get_object_or_404
from django.template.... |
#
# eMammal_helpers.py
#
# Support functions for processing eMammal metadata
#
#%% Constants and imports
from PIL import Image, ImageDraw
import matplotlib.pyplot as plt
import operator
from datetime import datetime
#%% Support functions
def clean_species_name(common_name):
"""
Converts various forms of "h... |
# The MIT License (MIT)
#
# Copyright (c) 2017 <NAME> for Adafruit Industries LLC
#
# 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 right... |
"""
MIT License
Copyright (c) 2021 Standby
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, dist... |
# The MIT License (MIT)
#
# Copyright (c) 2017-2018 <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, modif... |
import numpy as np
import pandas as pd
from tqdm import tqdm
from numpy.matlib import repmat
def raised_cosine(duration, nbases, binfun):
nbins = binfun(duration)
ttb = repmat(np.arange(1, nbins + 1).reshape(-1, 1), 1, nbases)
dbcenter = nbins / nbases
cwidth = 4 * dbcenter
bcenters = 0.5 * dbcent... |
import torch
import torch.nn as nn
import math
from ltr.models.backbone.resnet import BasicBlock
from ltr.models.layers.blocks import conv_block
from ltr.models.lwl.utils import interpolate
class ResidualDS16SW(nn.Module):
""" Outputs the few-shot learner label and spatial importance weights given the se... |
#!/usr/bin/env python
#
#
# netid2fasta.py <species>_[meta|prio]AggNet.hdf5 <species>_info.csv <uniprot-all.fasta>
#
# "EntrezID","EnsemblID","GeneSymbol","LocusTag","Synonyms","dbXrefs",
# "Chromosome","Type","UniProtID","UniProtID2","OrthoID","NetworkIDs"
##
#
# >sp|Q8CJG1|AGO1_MOUSE Protein argon... |
"""ResNet model for CIFAR-10 dataset
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import models
def update_argparser(parser):
models.update_argparser(parser)
args, _ = parser.parse_known_args()
if args.dataset == 'cif... |
# Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... |
# Copyright (c) 2018 HarryR.
# License: LGPL-3.0+
import json
import ctypes
from functools import reduce
from binascii import unhexlify
from collections import namedtuple
from py_ecc import bn128
from py_ecc.bn128 import pairing, FQ, FQ2, FQ12, neg, multiply, add
_VerifyingKeyStruct = namedtuple('_VerifyingKeyStru... |
from math import sqrt, log
def log_loss(results):
predicted = [min([max([x, 1e-15]), 1-1e-15]) for x in map(lambda x: float(x[0]), results)]
target = [min([max([x, 1e-15]), 1-1e-15]) for x in map(lambda x: float(x[1]), results)]
return -(1.0 / len(target)) * sum([target[i] * log(predicted[i]) + (1.0 - t... |
# Python Build for training, testing and exporting model
import ast
import json
import logging
# Importing Libraries
import os
import pickle
from enum import Enum
from pathlib import Path
import joblib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn.preprocessing import MinMaxScaler... |
"""Given a CSV file of variable information defining the regions of interest along with input and output fasta file paths, write a file that contains a fasta-formatted representation of these regions."""
import sys
import click as cli
import csv
from collections import namedtuple
import textwrap as tw
from pyfaidx i... |
import torch
import torch.nn as nn
import numpy as np
import glob
import logging
from pyro.distributions import TransformedDistribution
from models.layers.CondIAF import CondInverseAutoregressiveFlowStable
from Translator import lookup_words
def init_logger(fn=None, cont=False):
# !!! here
from imp import re... |
"""
THis module contains widgets used for error reporting. The report backed is sentry_.
.. _sentry: https://sentry.io
"""
import getpass
import re
import sys
import traceback
import typing
import requests
import sentry_sdk
from qtpy.QtWidgets import (
QDialog,
QHBoxLayout,
QLabel,
QLineEdit,
QLis... |
import os
import ctypes
import shutil
import platform
import hashlib
import time, datetime
from getpass import getpass
dicts = dict()
def WriteFile(filename,content):
with open(filename,'a', encoding = "UTF-8") as fw:
fw.write(str(content)+'\n')
def BUG():
os.system("cls")
print("请按照提示进行操作：")
problem ... |
import ptypes
from ptypes import ptype,parray,pstruct,pint,pstr,dyn,pbinary
ptypes.setbyteorder(ptypes.config.byteorder.littleendian)
### header markers
class ElfXX_File(ptype.boundary): pass
class ElfXX_Header(ptype.boundary): pass
class ElfXX_Ehdr(ElfXX_Header): pass
### base
class uchar(pint.uint8_t): pass
class E... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
import os.path
import configparser
import pandas as pd
from tqdm import tqdm
from tsfresh.utilities.dataframe_functions import impute
from tsfresh.feature_extraction import feature_calculators
def main():
if len(sys.argv) < 2:
print('Usage: ./extract_best_... |
# from pathlib import Path
# import numpy as np
import torch
import torch.nn as nn
from collections import OrderedDict
from typing import List
from goodok_mlu.utils import rgetattr
params_aliases = [
{"old_key_starts": 'surfacepred.p1.',
"new_key_starts": "surfacepred.fcn.block.1."},
{"old_key_starts": 's... |
"""
Copyright 2012-2019 <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 agreed to in writing, software
di... |
from os import path, makedirs
from assetsy.assets import FileAsset, GlobAsset, AssetCollection
from glob import has_magic
from assetsy.processors import ProcessorManager
from assetsy.exceptions import BuildError
import types
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler
fro... |
import copy
import os
import warnings
import numpy as np
import torch
from sympy import N, lambdify
from . import test_points
from .get_pareto import Point
from .RPN_to_eq import RPN_to_eq
from .S_get_expr_complexity import get_expr_complexity
warnings.filterwarnings("ignore")
is_cuda = torch.cuda.is_available()
#... |
# Copyright 2020-2021 Huawei Technologies Co., Ltd
#
# 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 json
from django.utils import timezone
from datetime import datetime
from django.templatetags.tz import localtime
from django.shortcuts import render, get_object_or_404, redirect
from django.utils.translation import ugettext_lazy as _
from django.http import Http404
from django.core.management import call_comma... |
"""
This module handles the communication with EVE SSO
"""
from base64 import urlsafe_b64encode
import logging
from typing import List
from urllib.parse import urljoin
from pydantic.error_wrappers import ValidationError
from requests.exceptions import HTTPError
import jwt
import pydantic as pdt
import requests
from ... |
import rlp
from ethereum.transactions import Transaction, UnsignedTransaction
from ethereum.utils import (
big_endian_to_int, int_to_big_endian, safe_ord, sha3
)
from .utils import data_decoder, data_encoder
# TODO: do these make sense? (they were taken from geth, so i hope so!)
DEFAULT_STARTGAS = 21000
DEFAULT_G... |
import json
import pandas as pd
import os
import shutil
from datetime import date
import urllib.request
from bs4 import BeautifulSoup
DATA_DIR = "../data"
DATA_FILE = os.path.join(DATA_DIR, "data.json")
DUMP_FILE = os.path.join(DATA_DIR, "dump.pkl")
store_columns = (
"id", # 음식점 고유번호
"store_name", # 음식점 이름
... |
from django.http import HttpResponse
import json
from django.shortcuts import render, redirect, get_object_or_404
from django.http import HttpResponse
from django.contrib.auth.models import User
from django.contrib.auth import login, logout, authenticate
from django.contrib.auth.decorators import login_required
... |
import logging
import numpy as np
from scipy.signal import find_peaks, fftconvolve
from scipy.io import wavfile
from m2.rec2taps import errors
from m2.rec2taps.defaults import DEFAULT_DISTANCE, DEFAULT_PROMINENCE
CAN_DEBUG_PLOT = False
try:
import matplotlib
import matplotlib.pyplot as plt
matplotlib.use('... |
"""
Implementation borrowed from transformers package and extended to support multiple prediction heads:
https://github.com/huggingface/transformers/blob/master/src/transformers/models/bert/modeling_bert.py
"""
import math
import torch
import torch.utils.checkpoint
from packaging import version
from torch import nn
... |
import csv
from matplotlib.pyplot import text
import tweepy
import ssl
import config
import logging
import random
import gift_axie_lib as gift
import re
import gift_axie_ocv_lib as decocv
import json
import requests
ssl._create_default_https_context = ssl._create_unverified_context
# Oauth keys
consumer_key = "XXX"
... |
#!/usr/bin/env python3
"""Interactive interface to full DrQA pipeline."""
import argparse
import logging
import json
import torch
from functools import partial
from multiprocessing.pool import ThreadPool
from smart_open import smart_open
from drqa import pipeline
from drqa.retriever import utils
logger = logging.g... |
"""
Token.
"""
import re
import unicodedata
import emoji
from emoji import EMOJI_ALIAS_UNICODE_ENGLISH, UNICODE_EMOJI_ENGLISH
from tweet_nlp_toolkit.constants import (
MENTION_TAG,
HASHTAG_TAG,
URL_TAG,
DIGIT_TAG,
EMOJI_TAG,
EMOTICON_TAG,
PUNCTUATION_TAG,
EMAIL_TAG,
UNKNOWN_LANGUAG... |
from attrbench.lib.masking import Masker
from attrbench.lib import segment_attributions
from typing import List, Union, Optional
import numpy as np
import torch
class ImageMasker(Masker):
def __init__(self, feature_level):
if feature_level not in ("channel", "pixel"):
raise ValueError(f"featur... |
"""
This file contains functions returning specific values for the given project "self-driving_car".
"""
import numpy as np
import cv2
def camera():
"""
Camera with the calibration used in Udacity self-driving-car nanodegree
:return: Camera
"""
from lane_lines_finder.camera import Camera
cam ... |
from .common import *
from partname_resolver.components.resistor import Resistor
from partname_resolver.units.resistanceTolerance import Tolerance
from ..units.temperature import TemperatureRange
import re
from decimal import Decimal
series = {'RL': 'Thick Film Chip Resistor'}
resistor_type = {'RL': Resistor.Type.Thi... |
import random as r
from django.core.paginator import Paginator
from django.shortcuts import get_object_or_404, redirect, render
from .forms import PaladinForm, WarriorForm, DruidForm, ThingsForm
from .models import *
def put_on_inventory(request, hero_id, thing_id):
person = get_object_or_404(Heroes, id=hero_id... |
# Divides the data into train, validation and test sets, or determines the cross-validation splits.
# The indexes of the splits are stored so experiments can be reproduced.
from . import load_restore as lr
import csv
import random
import math
import sys
def split_train_validation(train, validation, act_values):
'''... |
import tensorflow as tf
from openpose.core.backbone import VGG
from configuration import OpenPoseCfg as cfg
class ConvBlock(tf.keras.layers.Layer):
def __init__(self, filters):
super(ConvBlock, self).__init__()
self.bns = list()
self.convs = list()
self.acts = list()
for ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import h5py
import argparse
from tqdm import tqdm
def merge(config):
dir_name = os.path.join('datasets/', config.dir_name)
check_path(dir_name)
f = h5py.File(os.path.join(dir_name, 'da... |
import os, argparse, glob
import numpy as np
import cv2
from scipy.misc import imread, imsave
from skimage.measure import compare_ssim
import psnr
import fastaniso
import py_utils as utils
parser = argparse.ArgumentParser()
parser.add_argument('--input_root', default='')
parser.add_argument('--dir_list', default='di... |
"""Implementation module of Pesel Class"""
import random
import time
import calendar
from datetime import date, datetime
from typing import Union, Optional
from enum import Enum
class PeselConst(Enum):
"""PeselConst Class contains magic numbers for Pesel Class"""
YEAR_BASE = 1900
YEAR_MIN = 1800
YEAR... |
import turtle
import time
u_door = None
n = 100
print("You are stuck in an infinite loop! You need to find your way out! Wait! \
I smell a break around here! Go find it before you go insane in this horrible\
place!You can start by choosing one of these three doors i guess?")
screen = turtle.Screen()
clock = turtle.Tur... |
# pylint: disable=no-member, invalid-name
""" generate basic shapes, anomaly patterns for meshpy """
# Copyright (c) <NAME>. All rights reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
import numpy as np
def throx(num_poly):
"""
draw 'throx' outline (points)
codes copie... |
# -*- coding: utf-8 -*-
"""
Created on Sun Jan 21 12:49:11 2018
@author: Zhang
"""
import feather
import pandas as pd
import numpy as np
import math
import os
import datetime
def findtimebound(filepath):
filenamelist = os.listdir(filepath)
starttime = []
endtime = []
count = 0
... |
import torch
import torchvision
from torch import nn
class double_conv(nn.Module):
def __init__(self, inchannel, outchannel):
super(double_conv, self).__init__()
self.layers = nn.Sequential(
nn.Conv2d(inchannel, outchannel, 3, padding=1, bias=False),
nn.InstanceNorm2d(outcha... |
# 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 datetime import datetime
import django.utils.timezone as timezone
from django.db import models
# Create your models here.
class ItemAnalysis(models.Model):
ITEM_TYPE = (
(1, 'movie'),
(2, 'book'),
)
dad_id = models.CharField(max_length=20, null=False, blank=False)
dad_type = mode... |
#!/usr/bin/env python3
"""SOURCE: CPsridharCP on github. https://github.com/CPsridharCP/MistySkills/blob/master/Apps/Teleop/02_pythonTeleop/findMisty.py"""
from gevent import monkey
monkey.patch_all()
import socket
import grequests
import requests
import json
import PySimpleGUI as sg
import pyperclip
# SCANS NETWOR... |
import json
import pandas as pd
import numpy as np
from functools import reduce
from PyQt5.QtGui import QColor
from logger import log
from api.algorithm import AbstractAlgorithm
from api import TextProcessor
from models import TextNode
__all__ = ['Describer', 'encapsulate_html']
def random_color():
return QCol... |
import os, sys
from functools import partial
from nnodes import Node
from functions.utils import optimdir, removedir
from functions.make_data import make_data, get_NM
from functions.forward import forward
from functions.kernel import frechet
from functions.cost import cost
from functions.gradient import gradient
from f... |
#! /usr/bin/env python
import rospy
import random
from math import sqrt, atan2, floor, cos, sin
from scipy.spatial import KDTree
max_iter = 10000
goal_sample_rate = 30
lethal_cost = 150
path_resolution = 1
def index_to_world(index, resolution, origin, width):
""" Convert index to world coordinates """
x = int(in... |
import click
import pygame
from ouroboros.input import decode_input, Selected, check_for_selection, check_for_override
from ouroboros.display import Display
from ouroboros.food import Food
from ouroboros.snake import Snake
from ouroboros.sounds import Sounds
from ouroboros.sprite_images import SpriteImages
from ourobo... |
from pyspark import since, keyword_only, SparkContext
from pyspark.ml.param import Param, Params, TypeConverters
from pyspark.ml.param.shared import HasInputCol, HasOutputCol, HasHandleInvalid
from pyspark.ml.util import JavaMLReadable, JavaMLWritable
from pyspark.ml.wrapper import _jvm
from pyspark.ml.wrapper import J... |
# Copyright (C) 2019 Apple 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:
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and the f... |
# Copyright 2017 AT&T Intellectual Property. All other 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... |
#!/usr/bin/env python
import pytest
from dsviz import DoublyLinkedList
## Fixtures
@pytest.fixture
def empty_int_dll():
return DoublyLinkedList('', int)
@pytest.fixture
def empty_str_dll():
return DoublyLinkedList('', str)
@pytest.fixture
def int_dll():
dll = DoublyLinkedList('', int)
dll.appe... |
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