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# -*- coding: utf-8 -*-
"""Cloud Function Utilities."""
import os
import json
import requests
from firecloud.errors import FireCloudServerError
from google.cloud.secretmanager_v1 import SecretManagerServiceClient
from oauth2client.client import GoogleCredentials
from oauth2client.service_account import ServiceAccoun... |
# -*- coding: utf-8 -*-
import os
import pwd
import time
import traceback
import requests
from amplify.agent.common.context import context
from amplify.agent.common.util.loader import import_class
__author__ = "<NAME>"
__copyright__ = "Copyright (C) Nginx, Inc. All rights reserved."
__license__ = ""
__maintainer__ =... |
"""
==============================
3D ploting using PyQt5 for GUI
==============================
Brief:
------
A **matplotlib** widget displays a 3D graph inside
a **PyQt5** widget window.
Important
---------
This project is published under **MIT License**
"""
import argparse
import sys
import numpy as ... |
import torch
import torch.nn as nn
import numpy as np
from torch.utils.data import Dataset, DataLoader
import torch.nn.functional as F
from torch.nn import init
from tqdm import tqdm
from collections import OrderedDict
# Utility
def backbone_extractor(model, target_layer='avgpool'):
backbone = []
for name, pa... |
from __future__ import division
import itertools
from sympy.matrices.dense import zeros, MutableDenseMatrix
from BasisMatricesHelper import *
from MatricesHelper import *
import bisect
class DualSimplexMethod(object):
def __init__(self, A_matrix, b_matrix, c_matrix, d_lower, d_upper, eps=0.000001):
"""
... |
import asyncio
import logging
import os
from uuid import uuid4
from concurrent.futures import ProcessPoolExecutor
from pathlib import Path
from typing import Any, Iterable, Set
import click
from .db_admin import click_main
from .. import local_database, protocol
logger = logging.getLogger(__name__)
@click_main.com... |
# Copyright 2017 Amazon.com, Inc. or its affiliates. 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. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompa... |
# -*- coding: utf-8 -*-
# MIT License
#
# 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 u... |
import itertools
from collections import defaultdict
import torch
from torch.distributed import get_rank
from tqdm import tqdm
import masker
import utils
from masker import gen_pointing_text_mask_locs
def accuracy(output, target, topk=(1,), tok_groups=None, tok_group_labels=None, as_list=False):
"""Computes the... |
# -*- coding: utf-8 -*-
import http.client
import logging
import os
import re
import urllib.error
import urllib.parse
from functools import wraps
from http.cookiejar import CookieJar
from tempfile import NamedTemporaryFile
from django.conf import settings
from mapproxy.client import http as mapproxy_http
from requests... |
import os
import re
import click
import difflib
from ._version import *
def diff_theme(theme=None):
r'''
Return dictionary of colors.
.. code-block:: python
{
'equal' : '...',
'insert' : '...',
'delete': '...',
'replace' : '...',
}
:param str theme: Select color-theme.
... |
import collections
import copy
import functools
import itertools
import logging
from celery.task import task
import ckanclient
from django.conf import settings
from django_hosts.reverse import reverse_full
import rdflib
from humfrey.signals import graphs_updated
from humfrey.sparql.endpoint import Endpoint
from humfr... |
"""
show_isis.py
IOSXR parsers for the following show commands:
* show isis adjacency
* show isis neighbors
"""
# Python
import re
from netaddr import IPAddress, IPNetwork
# Metaparser
from genie.metaparser import MetaParser
from genie.metaparser.util.schemaengine import Schema, Any, Or, Optional
from genie... |
# TODO: resurrect the tests with plotting, commented out below, in a civilized fashion
# import dill
import pickle
import numpy as np
from mathx.sft import FTD, trans
def test_FTD_0():
for iter in range(10):
N = np.random.randint(2, 101)
ft = FTD(N=N, Dx=np.random.rand(), x_0=np.random.rand(), k_0... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
#
# Copyright © 2018 Dell Inc. or its subsidiaries. All rights reserved.
# Dell, EMC, and other trademarks are trademarks of Dell Inc. or its subsidiaries.
# Other trademarks may be trademarks of their respective owners.
#
# Licensed under the Apache License, Ver... |
import tkinter as tk, re
from tkinter import ttk
from dataclasses import dataclass, field
from typing import List, Pattern, Iterable
from copy import deepcopy
Char: Pattern = re.compile('[a-z0-9]', re.I)
''' FormEntryFormat_dc
this serves as a configuration for the behavior of FormEntry
'''
@dataclass
class Form... |
"""
Logging TreeViews is complicated because there are several ways to set them up
and little direct support for extracting information from them. So they get their own module.
"""
import gtk, logging
from images import ImageDescriber
from ..treeviewextract import getAllExtractors
class ColourSpecMap(dict):
def ... |
import pytest
from django.urls import reverse
from pytest_django.asserts import assertContains
from ..models import Champion
from ..views import (
ChampionCreateView,
ChampionDeleteView,
ChampionDetailView,
ChampionListView,
ChampionUpdateView,
)
from .factories import ChampionFactory
pytestmark =... |
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 = {'CAT16': 'Concave Terminations',
'CAY16': 'Convex Terminations',
... |
# many code from http://d.hatena.ne.jp/yatt/20100129/1264791420
from logging import getLogger
from reversi_zero.agent.player import ReversiPlayer
from reversi_zero.config import Config, PlayWithHumanConfig
from reversi_zero.env.reversi_env import ReversiEnv, Player
from reversi_zero.lib.ggf import convert_move_to_act... |
# Procedures of script process-photos.py
#
# Author: <NAME>
# Date : Jan 01, 2018
#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
###########################################
# !!! IMPLEMENT THE PROCEDURES HERE !!! #
###########################################
import flickrapi
import api_crede... |
"""Configuration file for the Sphinx documentation builder."""
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If... |
# To change this license header, choose License Headers in Project Properties.
# To change this template file, choose Tools | Templates
# and open the template in the editor.
import json
import os
import os.path
import tempfile
import time
import logging
from concurrent.futures import thread
from threading import Threa... |
# coding: utf-8
import json
import yaml
import yaml.nodes
from urllib import request as urllib2
from collections import OrderedDict
class TestCase(object):
def __init__(self, q, _in, out, v=None, failing=None):
self.q = q
self._in = _in
self.out = out
self.v = v
self.faili... |
import numpy as np
import torch
import torch.nn.functional as F
import matplotlib.pyplot as plt
def unpack_dqn_batch(batch):
"""
Definition: unpack_dqn_batch(batch)
Unpack a batch of observations
Parameters
----------
batch : a list contains a namedtuples of (state,action,reward,last_state)... |
import numpy as np
from activations import relu_backward, sigmoid_backward
def linear_backward(dZ, cache, lambd):
"""
Implement the linear portion of backward propagation for a single layer (layer l)
Arguments:
dZ -- Gradient of the cost with respect to the linear output (of current layer l)
cache -- tu... |
import datetime
import logging
import logging.handlers
import math
import os
import random
import sys
from bisect import bisect_right
import colorlog
import numpy as np
import torch
import yaml
class WarmupMultiStepLR(torch.optim.lr_scheduler._LRScheduler):
def __init__(
self,
optimizer,
m... |
"""
Copyright (c) 2017, 2018, Oracle and/or its affiliates. All rights reserved.
The Universal Permissive License (UPL), Version 1.0
"""
import unittest
# python classes from weblogic-deploy-tooling-ct
from wlsdeploy.testing.common import testing_helper, testing_constants
from wlsdeploy.testing.define.test_def_stage i... |
#INSTRUCTIONS
#This file is an application that runs a simple DSR test
#It runs a number of simulation steps
#At every step a number of simulated DSR nodes are updated
#The CAN_TALK matrix defines which nodes can talk after a given time step
#Run using "python3 testnet.py > logs/log_file_name"
#=======================... |
import cairosvg
import svgwrite as svg
import sys
def split(line):
L1=line.replace(';','|')
L2=L1.split('|')
L3=[L.split(',') for L in L2]
return L3,['#FFFFFF' for i in L3]
def drawStack(ofnamePrefix,stack,cols,prms):
if len(stack)==0:
return
ofname='{}-{}.svg'.format(ofnamePrefix,prms['ofsuffix'])
dwg=svg.... |
'''
This program the Amazon results for each food to determine the prices
'''
from pint import UnitRegistry
ureg = UnitRegistry()
# Need to define fluid ounces
ureg.define('fl = 29.5735 * milliliter')
import numpy as np
import pprint
import operator
import os, fnmatch
def reject_outliers(points, thresh=3... |
# -*- coding: utf-8 -*-
###################################################################################
# Added to enable code completion in IDE's.
if 0:
from gluon import * # @UnusedWildImport
from gluon import request,db
from task_scheduler import vm_scheduler
from applications.baadal.models impo... |
#
# PySNMP MIB module TRAPEZE-NETWORKS-CLIENT-SESSION-TC (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/TRAPEZE-NETWORKS-CLIENT-SESSION-TC
# Produced by pysmi-0.3.4 at Mon Apr 29 21:19:50 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using... |
# standart modules
import os
# blender modules
import bpy
import bpy_extras
# addon modules
from . import version_utils
def clear_bpy_collection(bpy_collection):
for prop in bpy_collection:
bpy_collection.remove(prop)
def remove_bpy_data():
data = bpy.data
clear_bpy_collection(data.objects)
... |
"""Import and set up the imports_map."""
# The imports_map is special for some build systems, such as Bazel. Each entry
# consists of a short name and a full name; this allows handling build targets
# in a uniform way, with freedom to put the actual file in a different place
# (e.g., if the source tree is read-only ... |
#!/usr/bin/env python
from __future__ import absolute_import, division, print_function
from mpi4py import MPI
import os, sys, glob, time
import numpy as np
import fitsio
def merge_table_data(infiles, ext=1):
'''
Merge the tables in HDU 1 of a set of input files
'''
data = [fitsio.read(x, ext) for x ... |
import logging
from django.db.models import Q
from django.http import HttpResponse
from django.utils import timezone
from zentral.contrib.mdm.models import (ArtifactType, ArtifactVersion,
Channel, CommandStatus,
DeviceCommand, UserCommand)
... |
import os
import pathlib
_OS = int()
def __init__():
get_os()
def get_os():
global _OS
os_choice = {"nt": 0, "posix": 1}
for o in os_choice:
print(o)
if o == os.name:
_OS = os_choice[o]
print("OS is {} setting _OS to {}".format(str(os.name), _OS))
r... |
"""ResNet PyTorch Utils
Contains some functions that are useful towards the implementation
and/or usage of all the available ResNet v1 variants trained both on
ImageNet and CIFAR10.
Some of this functions include:
- Porting the weights from timm
- Changing the memory format Contiguous / Channels Last
- Normalization ... |
import unittest
import communication_tests
import os
from time import sleep
import threading
file_name_to_slave = "signal_to_slave.dat"
file_name_from_slave = "signal_from_slave.dat"
# map signal - [size, case-Id]
# NOTE needs to be consistent with C++
signal_map = {
"data_0" : 25,
"data_1" : 25,
"data_2"... |
import os.path
import vcr
import ujson
import tempfile
import zipfile
from contentpacks.khanacademy import retrieve_kalite_data
from contentpacks.models import Item
from contentpacks.utils import NODE_FIELDS_TO_TRANSLATE, \
download_and_cache_file, translate_nodes, \
translate_assessment_item_text, NodeType, ... |
import unittest
import pickle
from tracker import Tracker, TrackerEvent
from client import Client, ClientError
from message import MessageParser, MessageType, _strip_message
from peer import Peer
from torrent import Torrent, TorrentError
class ClientTests(unittest.TestCase):
def setUp(self):
self.client =... |
import numpy as np
import matplotlib.pyplot as plt
import cv2
import gin
import typing
import torch
import imutils
from scipy.stats import multivariate_normal
import xml.etree.ElementTree as ET
from soccer_robot_perception.utils.constants import CLASS_MAPPING_DETECTION
from soccer_robot_perception.utils.metrics import... |
'''
Created 06/03/2018
@author: <NAME>
'''
import numpy as np
class FilterBank(object):
"""
Based on Josh McDermott's Matlab filterbank code:
http://mcdermottlab.mit.edu/Sound_Texture_Synthesis_Toolbox_v1.7.zip
leny = filter bank length in samples
fs = sample rate
N = number of frequency cha... |
from netmiko.cisco_base_connection import CiscoBaseConnection
import re
import time
from telnetlib import IAC, DO, DONT, WILL, WONT, SB, SE, ECHO, SGA, NAWS
from netmiko.ssh_exception import NetmikoAuthenticationException
class H3CBase(CiscoBaseConnection):
def session_preparation(self):
"""Prepa... |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT license.
import torch
import torch.nn as nn
import torch.nn.functional as F
from collections import OrderedDict
from block_zoo.BaseLayer import BaseLayer, BaseConf
from utils.DocInherit import DocInherit
class ConvPoolingConf(BaseC... |
import functools
import itertools
from numbers import Number
import logbook
from .._compat import itervalues, OrderedDict
from ..ctx import context
from .error import Error
_logger = logbook.Logger(__name__)
class Result(object):
def __init__(self, test_metadata=None):
super(Result, self).__init__()
... |
"""
CREATED: 3-JUN-2021
LAST EDIT: 11-JUN-2021
AUTHOR: <NAME>, MBA (<EMAIL>)
READS blotter.xlsx (SYMBOL, SHARES, UNITARY, EXTENDED, DATE, BROKER, EXIT_TARGET)
COMPARES holding period to SP500 performance ($, days) using PME (Public Market Equivalent) ref: https://docs.preqin.com/reports/Preqin-Special-Report-PME-July-... |
import os
import argparse
import torch
from torch import nn
from torch.utils.data import Dataset, DataLoader
from torchvision import transforms, datasets, models
import torch.optim as optim
from tensorboardX import SummaryWriter
import tqdm
from torch.autograd import Variable
from pytorch_classifier.net_utils import Ne... |
from abc import ABC
import tensorflow as tf
import numpy as np
from engines.utils.mask import create_padding_mask
class PositionalEncoding(tf.keras.layers.Layer):
def __init__(self, embedding_dim, sequence_length):
super(PositionalEncoding, self).__init__()
self.embedding_dim = embedding_dim
... |
from math import sqrt, ceil, factorial
def generate_primes(n: int):
primes = []
for num in range(0, n + 1):
if num > 1:
for i in range(2, num):
if (num % i) == 0:
break
else:
primes.append(num)
return primes
# takes a po... |
import random
import os
import pickle
import click
import yaml
import numpy as np
from lifegate import LifeGate
# from lifegate_utils import Font
from q_networks import Q_Network, QNetCount, Experiment
# np.set_printoptions(suppress=True, linewidth=200, precision=3)
floatX = 'float32'
class Font:
purple = '\033[... |
import json
from arq import Worker
from atoolbox.test_utils import DummyServer
from pytest_toolbox.comparison import AnyInt, CloseToNow, RegexStr
from em2.core import Action, ActionTypes
from em2.protocol.core import get_signing_key
from em2.settings import Settings
from .conftest import Factory
async def test_pub... |
import base64
import binascii
import calendar
import hashlib
import hmac
import json
import logging
import os
import re
import sys
import time
from dataclasses import dataclass
from datetime import datetime, timedelta
from html import unescape
from typing import List, Union, Optional
import asyncpg
from tornado.web im... |
import os
import json
from dotenv import load_dotenv
import tweepy
import pandas as pd
class Politician:
def __init__(self, name, username, party, state):
self.name = name
self.username = username
self.party = party
self.state = state
self.tweets = []
def __str__(self):... |
import torch.nn as nn
import torch
import numpy as np
import torch.nn.functional as F
from lib.lightrfb import LightRFB
from lib.Res2Net_v1b import res2net50_v1b_26w_4s
from lib.PNS_Module import NS_Block
class conbine_feature(nn.Module):
def __init__(self):
super(conbine_feature, self).__init__()
... |
import re
from collections import defaultdict
from hamper.interfaces import ChatCommandPlugin, Command
from hamper.utils import ude, uen
from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
SQLAlchemyBase = declarative_base()
class Karma(ChatCommandPlugin):
'''... |
from os import path
from collections import defaultdict
import src.datahandlers.obo as obo
import src.datahandlers.reactome as reactome
import src.datahandlers.rhea as rhea
import src.datahandlers.ec as ec
from src.prefixes import GO, REACT, WIKIPATHWAYS, RHEA, SMPDB, EC, PANTHERPATHWAY, TCDB
from src.categories impo... |
# MIT License
#
# Copyright (c) 2019 <NAME>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publi... |
from __future__ import print_function, absolute_import, division
import datetime
import os
import os.path as path
import random
import numpy as np
import torch
import torch.backends.cudnn as cudnn
import torch.nn as nn
from function_baseline.config import get_parse_args
from function_baseline.data_preparation_custom... |
#!/opt/software/miniconda3/bin/python
# -*- coding: UTF-8 -*-
import os,sys
import numpy as np
from datetime import datetime, timedelta
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
import xarray as xr
import cartopy as cart
import cartopy.crs as ccrs
import cartopy.feature as cfeature
from cartop... |
#!/usr/bin/python
kbNormal = [
list("a"),
list("b"),
list("c"),
list("d"),
list("e"),
list("f"),
list("g"),
list("h"),
list("i"),
list("j"),
list("k"),
list("l"),
... |
########
# Copyright (c) 2013 GigaSpaces Technologies Ltd. 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... |
import sys
import toml
import typer
from rich import print
from rich.console import Console
from linkace_cli import models
from linkace_cli.api.links import Links
from linkace_cli.cli.helpers import interactive_editor, shared_ctx
links_cli = typer.Typer()
console = Console()
def print_links(links: list):
"""
... |
from unittest import TestCase
from tempfile import mkdtemp
from shutil import rmtree
from pathlib import Path
import numpy as np
from pynwb import NWBHDF5IO
from pynwb.image import ImageSeries
from nwbinspector import (
InspectorMessage,
Importance,
check_image_series_external_file_valid,
check_image_... |
"""
Copyright MIT and Harvey Mudd College
MIT License
Summer 2020
Lab 2A - Color Image Line Following
"""
########################################################################################
# Imports
########################################################################################
import sys
import cv2 a... |
import os
import time
import yaml
import torch
import argparse
import random
import numpy as np
import cv2
from prettytable import PrettyTable
from easydict import EasyDict
from tqdm import tqdm
from microscopy.data import build_val_loader
from microscopy.models import build_model
from microscopy.util import AverageMet... |
# To add a new cell, type ''
# To add a new markdown cell, type ' [markdown]'
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.metrics import pairwise_distances
from app.models import db
def find_n_neighbours(df,n):
... |
# Data logging at high frequencies
# Author - <NAME>
# - https://github/rhubarbdog
# License - MIT 2019 see file LICENSE in this repository
# Published - March 2019
import pyb
import time
import array
import ustruct
import gc
import micropython
micropython.alloc_emergency_exception_buf(200)
SHORT_CHAR... |
import re
import fastjsonschema
from src.utils.errors import ErtisError
SCHEMA_NAME_PATTERN = "^[A-Za-z0-9_]{3,100}$"
CREATE_SCHEMA = {
'$schema': 'http://json-schema.org/schema#',
'type': 'object',
'additionalProperties': True,
'properties': {
'name': {
'type': 'string',
... |
import subprocess
import re
import time
class dhcpcdManager:
def __init__(self):
self._filePath = '/etc/dhcpcd.conf'
with open(self._filePath, 'r') as fp:
self._lines = fp.readlines()
def find_interface_line(self, interface: str) -> int:
index = 0
for line in self... |
"""
Plotting a graph with bad gradient nodes marked in red.
Mostly copy-paste from https://github.com/t-vi/pytorch-tvmisc/tree/master/visualize
"""
from graphviz import Digraph
import numpy as np
import tvm
def collect_ops(node):
ops = set()
def visitor(e):
if isinstance(e, tvm.ir.Op):
op... |
"""Python script to classify the image."""
# Import the necessary libraries
from sklearn.decomposition import PCA
import os
import scipy.io as sio
import numpy as np
from keras.models import load_model
from keras.utils import np_utils
from sklearn.metrics import classification_report, confusion_matrix
import spectral
... |
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... |
# -*- coding: utf-8 -*-
""".. moduleauthor:: <NAME>"""
from dataclasses import dataclass
from enum import Enum
from typing import final, Type, Dict, Tuple, Callable, Final, List
from bann.b_container.states.framework.general.prepare.local_prepare import LocalPrepTState, \
get_local_prepare_state_types
from bann.b_... |
import asyncio
import os
from typing import OrderedDict
from .query import query, runQuerySingleKey, runQueryMultiKey
import inc.cache
import config
# init all relevant caches
cacheLiteralsTop = inc.cache.Cache('literalstop', ['base'])
cacheLiteralsFull = inc.cache.Cache('literalsfull', ['base'])
cacheObjectsTop = inc... |
#! python3
#import os
#os.environ["R_HOME"] = r""
#os.environ["path"] = r"C:\Users\localadmin\Anaconda3;C:\Users\localadmin\Anaconda3\Scripts;C:\Users\localadmin\Anaconda3\Library\bin;C:\Users\localadmin\Anaconda3\Library\mingw-w64\lib;C:\Users\localadmin\Anaconda3\Library\mingw-w64\bin;" + os.environ["path"]
import o... |
#!/usr/bin/env python3
from termcolor import colored
import argparse
import shlex
import regex
mem = []
class commands:
def input_(self, mem, c):
if c[0][-1] == "#":
mem[int(c[1])] = input(c[2])
return mem[int(c[1])]
else:
mem.append(input(c[1]))
re... |
#!/usr/bin/env python3
import numpy as np
import os
import time
import gym
import json
import sys
import functools
from tqdm import tqdm, tnrange
from drlnd.core.common.util import is_notebook, count_boundaries
from drlnd.core.agents.base_agent import AgentBase
from drlnd.core.common.ring_buffer import ContiguousRing... |
"""
Copyright (c) 2018, <NAME>.
Distributed under the terms of the MIT License.
The full license is in the file LICENSE, distributed with this software.
Created on Mar 17, 2018
@author: jrm
"""
from atom.api import Typed, Bool, set_default
from enamlnative.android.bridge import (
JavaBridgeObject, JavaMethod, J... |
"""wxadamodeltree.py - customized version of wxPython's TreeCtrl for the ADA Toolkit
<NAME> (TRI/Austin, Inc.)
"""
__author__ = '<NAME>'
from views import wxmodeltree
import wx
class ModelTree(wxmodeltree.ModelTree):
"""ADAModel customized version of wxPython's TreeCtrl, adds
extra functionality... |
import tensorflow as tf
from tensorflow.keras import backend as K
from tensorflow.python.ops.linalg.sparse import sparse as tfsp
from . import ops
def dot(a, b):
"""
Computes a @ b, for a, b of the same rank (both 2 or both 3).
If the rank is 2, then the innermost dimension of `a` must match the
out... |
import requests
import pandas as pd
import time
import datetime
import dateutil.parser
pd.set_option('display.max_columns', None)
class CoinMarketCap:
PRODUCTION_BASE_URL = 'https://pro-api.coinmarketcap.com'
SANDBOX_BASE_URL = 'https://sandbox-api.coinmarketcap.com'
API_TYPE_MAP = {
... |
# Copyright (c) 2019 <NAME>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distri... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import shlex
import shutil
import subprocess
import random
from parlai.core.params import ParlaiParser
from p... |
# -*- coding: utf-8 -*-
import struct
from collections import OrderedDict
from graphenebase.objects import GrapheneObject
from graphenebase.objects import Operation as GrapheneOperation
from graphenebase.objects import isArgsThisClass
from graphenebase.types import (
Bytes,
Int16,
Map,
Optional,
Po... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Single image resize perf-test.
"""
import argparse
import http.client
import io
import logging
import statistics
import sys
import time
from PIL import Image
PLT = None
NP = None
try:
import matplotlib.pyplot
import numpy
PLT = matplotlib.pyplot
NP = ... |
import asyncio
import logging
import inspect
from copy import copy
from enum import Enum
from uuid import uuid4
from datetime import datetime, timezone
from tukio.event import EventSource, Event
from tukio.utils import FutureState, SkipTask
from tukio.broker import get_broker, workflow_exec_topics
from .task import T... |
"""
The model library
"""
import torch
import numpy as np
class Model(object):
"""
Docstring for Model. The basic model.
"""
def __init__(self) -> None:
"""init the model with preferences"""
# Use Adam as the default optimizer
self.optimizer = torch.optim.Adam
self.pa... |
import numpy as np
# import Layer
from scipy.stats import norm
from matplotlib import pyplot as plt
from scipy.stats import rv_continuous
from qiskit.circuit import Parameter, ParameterVector
from qiskit import *
from sklearn.metrics.cluster import adjusted_mutual_info_score as mi
class PQC:
def __init__(self,na... |
# -----------------------------------------------------------
# demonstrates how to normalize data within each operating regime with multi-layer perceptron
#
# (C) 2020 <NAME>, Lisbon, Portugal
# Released under GNU Public License (GPL)
# email <EMAIL>
# -----------------------------------------------------------
import... |
import pytest
import os
from dotenv import load_dotenv, find_dotenv
import json
from os import listdir
import csv
load_dotenv(find_dotenv())
def find_csv_filenames( path_to_dir, suffix=".csv" ):
filenames = listdir(path_to_dir)
return [ filename for filename in filenames if filename.endswith( suffix ) ]
def... |
# this project is licensed under the WTFPLv2, see COPYING.txt for details
from .. import connector
from ..app import qApp
from ..widgets.helpers import parentTabWidget
__all__ = ('findEditor', 'openEditor', 'listEditors',
'newEditorOpen', 'newEditorShare', 'newEditorTryShare')
def findEditor(path):
"""G... |
# Copyright 2019 Hitachi, Ltd. (author: <NAME>)
# Modified by: <NAME>
# Licensed under the MIT license.
import numpy as np
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import TransformerEncoder, TransformerEncoderLayer
from torch.optim.lr_scheduler import _LRScheduler
... |
# Copyright 2020 Adap GmbH. 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 law or ag... |
#!/usr/bin/env python
"""
Measures the response time of the evgp car by moving a box in
front of the car then measuring how long it takes the lidar scan, map,
and planned path to reflect the update.
@author <NAME>
"""
from __future__ import print_function
import time
import itertools
import signal
import sys
impor... |
import pandas as pd
import numpy as np
import re
import tensorflow as tf
from keras import layers
from sklearn.model_selection import train_test_split
from keras.layers.recurrent import LSTM
from keras.layers.core import Dense, Dropout, Activation
from keras.models import Sequential
from keras.layers import Dense
from ... |
import os
import sys
OMP_THREADS_ENV = 'OMP_NUM_THREADS'
if len(sys.argv) < 2:
print('No outfile')
quit()
out_file = sys.argv[1]
cli_app = ''
if len(sys.argv) >= 3:
cli_app = sys.argv[2] if sys.argv[2] != '-t' else ''
test_en = False
for arg in sys.argv:
if arg == '-t':
test_en = True
gra... |
# source: https://github.com/dido1998/Recurrent-Independent-Mechanisms
import torch
import torch.nn as nn
import torch.nn.functional as F
import math
import numpy as np
import torch.multiprocessing as mp
import random
from numpy.random import default_rng
rng = default_rng()
class blocked_grad(torch.autograd.Functi... |
#Bedirhan Karakaya 180401057
from sympy import Symbol
from sympy import pprint
"""kaca_kadar=600
satir_sayisi=1
asallar = [2]
for i in range(3,kaca_kadar,2):
bolundu = False
limit = (i ** 0.5) + 1
for j in asallar:
if i % j == 0:
bolundu=True
break
i... |
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