content stringlengths 0 894k | type stringclasses 2
values |
|---|---|
import tensorflow as tf
import numpy as np
from tensorflow import keras
# Use simple nearest neighbour upsampling, 9x9, 1x1 and 5x5 convolutional layers. MSE: 0.0028712489
# Described in https://towardsdatascience.com/an-evolution-in-single-image-super-resolution-using-deep-learning-66f0adfb2d6b
# Article: https://ar... | python |
import logging
import os
import re
from robobrowser import RoboBrowser
logger = logging.getLogger(__name__)
id_re = re.compile("\(([^)]+)\)")
def scrape_snotel_sites(url=None):
if not url:
url = "http://www.wcc.nrcs.usda.gov/nwcc/yearcount?network=sntl&counttype=statelist&state="
browser = RoboBrowse... | python |
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
import scipy.io
from torch.utils.data import Dataset
import pickle
import os
import sys
# Data Processing
def load_file(path_to_file):
return np.genfromtxt(path_to_... | python |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author: Donny You(donnyyou@163.com)
# Loss Manager for Object Detection.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from loss.modules.det_modules import SSDFocalLoss, SSDMultiBoxLoss
from loss.modules.det... | python |
a = []
# append element at the end.
a.append(2)
a.append(3)
print(a)
# insert at a specific location.
a.insert(0, 5)
a.insert(10, 5)
print(a)
# when specified a position not in list, it inserts at the end.
a.insert(100, 6)
print(a)
# Deleting elements from a list.
a.remove(5) # removes the first occurence of value pa... | python |
from .Ticket import Ticket, StateTicket
################################################################################
################################################################################
################################################################################
###############################... | python |
import numpy as np
from sklearn.cluster import MeanShift, estimate_bandwidth
import matplotlib.pyplot as plt
from PIL import Image
import cv2
from copy import deepcopy
# image_path = '/home/kshitij/PycharmProjects/Computer_Vision/Assignment_3/Question_2/iceCream1.jpg'
# image_path = '/home/kshitij/PycharmProjects/Comp... | python |
import random
import networkx as nx
import matplotlib.pyplot as plt
class graph:
__dg = None
def __init__(self):
#self.__dg = nx.DiGraph()
self.__dg = nx.Graph()
def add_nodes(self, nodes):
for i in range(0, len(nodes)):
self.__dg.add_node(nodes[i])
def add_edges... | python |
# coding: utf-8
"""
TencentBlueKing is pleased to support the open source community by making 蓝鲸智云-节点管理(BlueKing-BK-NODEMAN) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance with the... | python |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import datetime
from alphalogic_api.protocol import rpc_pb2
from alphalogic_api.attributes import Visible, Access
from alphalogic_api.multistub import MultiStub
from alphalogic_api import utils
from alphalogic_api.logger import log
from alphalogic_api.u... | python |
from unittest.mock import ANY, patch
from arcsecond import ArcsecondAPI
from click.testing import CliRunner
from oort.cli.cli import upload
from oort.server.errors import InvalidOrgMembershipOortCloudError, UnknownOrganisationOortCloudError
from oort.shared.models import Organisation
from tests.utils import (
TEL... | python |
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('../../MNIST_data', one_hot=True)
import tensorflow as tf
x = tf.placeholder(tf.float32,[None,784])
| python |
from aiogram import types
from asyncio import sleep
from typing import Union
import NekoGram
async def default_start_function(message: Union[types.Message, types.CallbackQuery]):
neko: NekoGram.Neko = message.conf['neko']
if not await neko.storage.check_user_exists(user_id=message.from_user.id):
lang ... | python |
import os
import pandas as pd
import nltk
import re
import spacy
from sklearn.feature_extraction.text import CountVectorizer
from data_module.corpus import data_operations as do
from data_module.corpus.clean import remove_single_quotes
def get_top_n_words(corpus, n=None):
"""
List the top n words in a vocabul... | python |
import unittest
from config import TEST_DB_PATH
from repositories.item_repository import ItemRepository
from utilities.csv_utilities import clear_csv, read_csv
class TestItemRepository(unittest.TestCase):
def setUp(self):
clear_csv(TEST_DB_PATH)
self.item_repo = ItemRepository(TEST_DB_PATH)
... | python |
#!/usr/bin/env python3
import sys
import subprocess
import requests
from datetime import datetime
def main(args):
if len(args) < 2:
print('usage: sync-cloudflare.py [output path]')
return
output = args[1]
now = datetime.utcnow().isoformat()
ips = []
resp = requests.get('https://... | python |
import os
import sys
from urllib2 import urlopen
import json
import ConfigParser
config = ConfigParser.ConfigParser()
config.readfp(open(r'config.txt'))
apikey = config.get('Sonarr Config', 'apikey')
host = config.get('Sonarr Config', 'host')
port = config.get('Sonarr Config', 'port')
url = 'http://'+host+':'+port+'... | python |
#!/usr/bin/env python
from kivy.app import App
from kivy.animation import Animation
from kivy.uix.floatlayout import FloatLayout
from kivy.graphics import Line
from kivy.gesture import Gesture, GestureDatabase
from kivy.vector import Vector
from kivy.properties import NumericProperty,BooleanProperty
from museol... | python |
import numpy as np
from sympy import simplify, integrate, zeros, S, Matrix, symbols, pi, cos, sin
from .funcs_aproximacion import producto_asecas
def producto_escalar_trigono(f, g, var=symbols('x'), a=-pi, b=pi, I=None, numeric=False):
"""Aplica el producto escalar <f,g> = 1/(2pi) ∫_[-pi]^[pi] f.g
Args:
... | python |
from ..util.conversion import physical_compatible
from ..util import config, conversion
class df(object):
"""Top-level class for DF classes"""
def __init__(self,ro=None,vo=None):
"""
NAME:
__init__
PURPOSE:
initialize a DF object
INPUT:
ro= (None)... | python |
#!/usr/bin/python3
# Copyright (c) 2021 by Fred Morris Tacoma WA
#
# 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... | python |
from enum import Enum
class Emoji(Enum):
PLAY = "*play*"
FACE_HEARTS = "<3"
FACE_TONGUE = ":P"
FACE_SMILE = ":D"
FACE_CRY_LAUGH = "xD"
FACE_HALO = "=D"
FACE_NERDY = "*nerdy*"
FACE_TEAR = "*cry*"
FACE_SAD = ":("
FACE_ZZZ = "*sleep*"
FACE_ROLLING_EYES = "*rolling-eyes*"
F... | python |
"""Dependency injector resource provider unit tests."""
import asyncio
import unittest2 as unittest
from dependency_injector import containers, providers, resources, errors
# Runtime import to get asyncutils module
import os
_TOP_DIR = os.path.abspath(
os.path.sep.join((
os.path.dirname(__file__),
... | python |
# coding: utf-8
# This block of code fetches the data, and defines a function that
# splits the data into test/train, and into batches.
# Note that this function will only download the data once. Subsequent
# calls will load the data from the hard drive
def MNIST_Loaders(train_batch_size, test_batch_size=None):
i... | python |
import sqlite3
# Configure database
connection = sqlite3.connect('map.db')
# Cursor for execute DB command
c = connection.cursor()
# CREATE TABLE
# c.execute("""CREATE TABLE map (
# id integer,
# lat real,
# lng real,
# comment text
# )""")
# INSERT VALU... | python |
from .models import Language
from rest_framework import serializers
class LanguageSerializer(serializers.ModelSerializer):
class Meta:
model = Language
fields = ('id', 'name', 'paradigm') | python |
"""
Playground for downloading GenBank files, wrapping in bowtie2, sCLIP/SOR prep
"""
from Bio import Entrez
import csv
import re
import requests
import subprocess
import os
from Bio import SeqIO
import shutil
from urllib.error import HTTPError
import time
import inv_config as config
# TODO Remove .gbk files at the e... | python |
from __future__ import division
import os
import math
import scipy.misc
import numpy as np
import argparse
from glob import glob
from pose_evaluation_utils import mat2euler, dump_pose_seq_TUM
parser = argparse.ArgumentParser()
parser.add_argument("--dataset_dir", type=str, help="path to kitti odometry dataset")
parser... | python |
import numpy as np
import matplotlib.pyplot as plt
with open('timings.txt','r') as inp:
inp.readline()
times = np.loadtxt(inp, delimiter=',')
print(times.shape)
selected = list([0,1,3,8,13,18])
# plt.plot((2+np.array(range(19))),times[:,0],'r^-',label="Best first search algorithm")
# plt.plot((2+np.array(range(1... | python |
from pessoa import Pessoa
class Aluno(Pessoa):
def __init__(self, rm, turma_id, rg, nome):
super().__init__(rg, nome)
self._rm = rm
self._turma_id = turma_id
self._notas = []
def media(self):
if len(self._notas) > 0:
return sum(self._notas)/len(self._notas)
... | python |
import numpy as np
import torch
class FeaturesLinear(torch.nn.Module):
def __init__(self, field_dims, output_dim=1):
super().__init__()
self.fc = torch.nn.Embedding(sum(field_dims), output_dim)
self.bias = torch.nn.Parameter(torch.zeros((output_dim,)))
self.offsets = np.array((0, ... | python |
# Copyright 2013 - Red Hat, 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 writi... | python |
import fileReader
import inputHandler
import fileHandler
import os
inputStuff = inputHandler.inputHandler()
fileStuff = fileHandler.FileHandler()
def getMode():
mode = inputStuff.determineAutoOrManual()
if mode == 'man':
getFileInfo()
loadAudioFile()
elif mode =='auto':
fileProcesser = fileReader.FileReader()... | python |
from pybullet_utils import bullet_client
import math
class QuadrupedPoseInterpolator(object):
def __init__(self):
pass
def ComputeLinVel(self,posStart, posEnd, deltaTime):
vel = [(posEnd[0]-posStart[0])/deltaTime,(posEnd[1]-posStart[1])/deltaTime,(posEnd[2]-posStart[2])/deltaTime]
return vel... | python |
from typing import List
from extraction.event_schema import EventSchema
from extraction.predict_parser.predict_parser import Metric
from extraction.predict_parser.tree_predict_parser import TreePredictParser
decoding_format_dict = {
'tree': TreePredictParser,
'treespan': TreePredictParser,
}
def get_predict... | python |
import os
filename = os.path.dirname(__file__) + "\\input"
with open(filename) as file:
x = []
start = 0
for line in file:
text = list(line.rstrip())
if start == 0:
x = [0] * len(text)
i = 0
for t in text:
if t == '1':
x[i] += 1
... | python |
def solve(input):
ans = 0
for g in input.split("\n\n"):
b = 0
for c in g:
if c.isalpha():
b |= 1 << (ord(c) - ord("a"))
ans += bin(b).count("1")
return ans
| python |
# https://www.hackerrank.com/challenges/three-month-preparation-kit-jack-goes-to-rapture/problem
#!/bin/python3
import math
import os
import random
import re
import sys
#
# Complete the 'getCost' function below.
#
# The function accepts WEIGHTED_INTEGER_GRAPH g as parameter.
#
#
# For the weighted graph, <name>:
#
... | python |
from typing import List, Callable, Optional, Dict, Set
from tqdm import tqdm
from src.data.objects.frame import Frame
from src.data.objects.stack import Stack
from src.data.readers.annotation_reader import AnnotationLoader
class LineModifiedClassifier:
def __init__(self, user_ids: Set[int], annotation_loader: A... | python |
from scrapy import cmdline
name = 'douban_movie_top250'
cmd = 'scrapy crawl {}'.format(name)
cmdline.execute(cmd.split())
| python |
#you += hash(pubkey || index) to both the private scalar and public point
#<tacotime> [02:35:38] so to get priv_i and pub_i
#<tacotime> [02:36:06] priv_i = (priv + hash) mod N
#<tacotime> [02:37:17] pub_i = (pub + scalarbasemult(hash))
import MiniNero
import PaperWallet
sk, vk, pk, pvk, addr, wl, cks = PaperWallet.key... | python |
class OperationFailed(Exception):
pass
class ValidationFailed(Exception):
pass
| python |
"""AyudaEnPython: https://www.facebook.com/groups/ayudapython
"""
def suma(a: float, b: float) -> float:
return a + b
def resta(a: float, b: float) -> float:
return a - b
def multiplicacion(a: float, b: float) -> float:
return a * b
def division(a: float, b: float) -> float:
if b <= 0:
ra... | python |
class ArtistCollection():
"""
Matplotlib collections can't handle Text.
This is a barebones collection for text objects
that supports removing and making (in)visible
"""
def __init__(self, artistlist):
"""
Pass in a list of matplotlib.text.Text objects
(or possibly any ... | python |
from qemuvolume import QEMUVolume
from ..tools import log_check_call
class VirtualHardDisk(QEMUVolume):
extension = 'vhd'
qemu_format = 'vpc'
ovf_uri = 'http://go.microsoft.com/fwlink/?LinkId=137171'
# Azure requires the image size to be a multiple of 1 MiB.
# VHDs are dynamic by default, so we add the option
... | python |
import pytest
import numpy
import os
import spacy
from spacy.matcher import Matcher
from spacy.attrs import ORTH, LOWER, ENT_IOB, ENT_TYPE
from spacy.attrs import ORTH, TAG, LOWER, IS_ALPHA, FLAG63
from spacy.symbols import DATE, LOC
def test_overlap_issue118(EN):
'''Test a bug that arose from having overlapping... | python |
# 3rd party imports
import stellar_base.utils
from stellar_base.exceptions import *
from stellar_base.keypair import Keypair
from stellar_base.address import Address
STELLAR_MEMO_TEXT_MAX_BYTES = 28
def is_address_valid(address):
"""
Checks if a given Stellar address is valid. It does not check if it exists ... | python |
# 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... | python |
"""Converts ECMWF levels into heights"""
import numpy as np
def readLevels(file_name='supra/Supracenter/level_conversion_ECMWF_37.txt', header=2):
""" Gets the conversion of heights from a .txt file, for use with convLevels().
Arguments:
file_name: [string] name of conversion file, .txt
heade... | python |
#
# Copyright 2018 herd-mdl contributors
#
# 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 ... | python |
import torch.optim
import torch.nn as nn
class AgentControl:
def __init__(self, hyperparameters):
self.gamma = hyperparameters['gamma']
self.device = 'cpu'# 'cuda' if torch.cuda.is_available() else 'cpu'
self.loss = nn.MSELoss()
#Return accumulated discounted estimated reward ... | python |
"""Support for TPLink HS100/HS110/HS200 smart switch."""
import logging
import time
from homeassistant.components.switch import (
ATTR_CURRENT_POWER_W, ATTR_TODAY_ENERGY_KWH, SwitchDevice)
from homeassistant.const import ATTR_VOLTAGE
import homeassistant.helpers.device_registry as dr
from . import CONF_SWITCH, DO... | python |
from .Util import *
| python |
'''This file defines user interfaces to sDNA tools and how to convert inputs to config'''
##This file (and this file only) is released under the MIT license
##
##The MIT License (MIT)
##
##Copyright (c) 2015 Cardiff University
##
##Permission is hereby granted, free of charge, to any person obtaining a copy
#... | python |
"""
This module contains helpers for the XGBoost python wrapper: https://xgboost.readthedocs.io/en/latest/python/index.html
The largest part of the module are helper classes which make
using a validation set to select the number of trees transparent.
"""
import logging
logger = logging.getLogger(__name__)
import jobl... | python |
#! /usr/bin/python3.5
# -*- coding: utf-8 -*-
import random
import numpy as np
import matplotlib.pyplot as plt
def subdivied(Liste, Size):
"""
On divise la liste Liste, en :
sum from i = 1 to N - Size [x_i,x_i+1,...x_i+Size]
"""
res = []
# pour chaque éléments de la liste
for index, e... | python |
# -*- coding: utf-8 -*-
"""
Created on Sat Nov 2 16:22:45 2019
@author: Soumitra
"""
import math
import numpy as np
import numpy.fft as f
import matplotlib.pyplot as plt
n = np.arange(12);
x = ((-1)**n)*(n+1)
plt.xlabel('n');
plt.ylabel('x[n]');
plt.title(r'Plot of DT signal x[n]');
plt.stem(n, x);... | python |
"""Iterative Compression Module."""
from experiments import RESULTS_DIR, TABLES_DIR
from pathlib import Path
# Paths
IC_DIR = Path(__file__).parent
SELF_COMPARISON_DATA_PATH = RESULTS_DIR / 'ic_preprocessing_level.csv'
IC_TABLE_FORMAT_STR = 'timeout_{}.tex'
IC_TABLES_DIR = TABLES_DIR / 'ic'
IC_TABLES_DIR.mkdir(exist... | python |
"""Examples showing how one might use the Result portion of this library."""
import typing as t
import requests
from safetywrap import Result, Ok, Err
# ######################################################################
# One: Validation Pipeline
# ##############################################################... | python |
from django.shortcuts import render, redirect, render_to_response
from django.views.decorators.csrf import csrf_protect
from django.contrib.auth.decorators import login_required
from django.core.urlresolvers import reverse
from django.forms.util import ErrorList
from django.contrib import auth, messages
from django.con... | python |
# <auto-generated>
# This code was generated by the UnitCodeGenerator tool
#
# Changes to this file will be lost if the code is regenerated
# </auto-generated>
def to_u_s_miles_per_gallon(value):
return value * 2.35215
def to_miles_per_gallon(value):
return value * 2.82481
def to_litres_per100_kilometres(value):
... | python |
"""
This file is part of the TheLMA (THe Laboratory Management Application) project.
See LICENSE.txt for licensing, CONTRIBUTORS.txt for contributor information.
"""
from pyramid.compat import itervalues_
from everest.entities.utils import get_root_aggregate
from everest.querying.specifications import eq
from everest... | python |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import argparse
import logging
import logging.config
import os
import sys
import yaml
from datetime import datetime
from importlib import import_module
from pkgutil import iter_modules
from plastron import commands, version
from plastron.exceptions import FailureException... | python |
alphabet = 'qw2rty534plkjhgfds1zxcvbnm'
alpha_dict = {'q':0,'w':1,'2':2,'r':3,'t':4,'y':5,'5':6,'3':7,'4':8,'p':9,'l':10,'k':11,'j':12,'h':13,'g':14,'f':15,'d':16,'s':17,'1':18,'z':19,'x':20,'c':21,'v':22,'b':23,'n':24,'m':25}
list_out = open("full_pass_list","w")
def reduction(my_letter):
while my_letter >= 0:
my_... | python |
class Node(object):
"""
Represents a node in the query plan structure. Provides a `parse` function to
parse JSON into a heirarchy of nodes. Executors take a plan consisting of
nodes and use it to apply the Transformations to the source.
"""
@classmethod
def parse(cls, _dict):
raise NotImplemented
d... | python |
from abc import ABCMeta, abstractmethod
from dataclasses import dataclass, field, asdict
from datetime import datetime
from typing import List
@dataclass(frozen=True)
class SalaryPayment:
basic_payment: int = field(default_factory=int, metadata={"jp": "基本給"})
overtime_fee: int = field(default_factory=int, met... | python |
import os
def get_ip_name():
return "base_ip"
class base_ip:
ID = "base"
def __init__(self, io_hash):
return
def matched_id(in_key):
return in_key is self.ID
def get_rst_case_text(self):
return ''
def get_dft_case_text(self):
return ''
def get_pinmux_setting(self):
return ""
def ge... | python |
import requests
import conf
import urllib2
import xml.etree.ElementTree as ET
import io
def get_min_temp_phrase_from_values(min_observed, min_forecast):
if abs(min_forecast) != 1:
degrees_text = "degrees"
else:
degrees_text = "degree"
s = "The temperature tonight will be %s %s, " % (min_fo... | python |
from flask import Flask
from flask import render_template,redirect,request
import pandas as pd
import sys
import numpy as np
import pickle
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
#from sklearn.metrics import mean_squared_log_error
from sklearn.linear_model ... | python |
# Copyright 2010 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# 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 ... | python |
import os
import platform
import textwrap
from collections import OrderedDict
from jinja2 import Template
from conans.errors import ConanException
from conans.util.files import normalize
sh_activate = textwrap.dedent("""\
#!/usr/bin/env sh
{%- for it in modified_vars %}
export CONAN_OLD_{{it}}="${{it}}"... | python |
import logging
from copy import copy
from inspect import isfunction
import ibutsu_server.tasks
from flask_testing import TestCase
from ibutsu_server import get_app
from ibutsu_server.tasks import create_celery_app
from ibutsu_server.util import merge_dicts
def mock_task(*args, **kwargs):
if args and isfunction(a... | python |
#!/usr/bin/env python
from kivy.app import App
from kivy.clock import Clock
from kivy.config import Config
from kivy.core.window import Window
from kivy.properties import (ListProperty,
NumericProperty,
ObjectProperty,
ReferenceList... | python |
# -selenium webdriver-
from logging import fatal
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.... | python |
import argparse
import os
import numpy as np
import scipy.io as sio
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
from tqdm import tqdm
from net.models import LeNet_5 as LeNet
import util
os.makedirs('saves', exist_ok=True)... | python |
import random
import numpy as np
import tensorflow as tf
import tqdm
from pipeline import SEED
from pipeline.dataset.gc import get_client
random.seed(SEED)
TRAIN = tf.estimator.ModeKeys.TRAIN
EVAL = tf.estimator.ModeKeys.EVAL
PREDICT = tf.estimator.ModeKeys.PREDICT
class MNISTDataset:
"""MNIST dataset."""
... | python |
"""\
Demo app for the ARDrone.
This simple application allows to control the drone and see the drone's video
stream.
Copyright (c) 2011 Bastian Venthur
The license and distribution terms for this file may be
found in the file LICENSE in this distribution.
"""
import pygame
from pydrone import libardrone
if __na... | python |
from Parameter import Parameter, registerParameterType
from ParameterTree import ParameterTree
from ParameterItem import ParameterItem
import parameterTypes as types | python |
# encoding: utf-8
import uuid
import os
import random
import json
from collections import Counter
from flask import request, abort, jsonify, g, url_for, current_app, session
from flask_restful import Resource, reqparse
from flask_socketio import (
emit,
disconnect
)
from app.ansibles.ansible_task import INVENT... | python |
import unittest
from random import uniform
from pysim import epcstd
class TestDataTypes(unittest.TestCase):
def test_divide_ratio_encoding(self):
self.assertEqual(epcstd.DivideRatio.DR_8.code, "0")
self.assertEqual(epcstd.DivideRatio.DR_643.code, "1")
def test_divide_ratio_str(self):
... | python |
from __future__ import print_function
from builtins import str
import argparse
import os
import sys
import re
from .version import VERSION
from .utils import get_local_ip, DelimiterArgParser
import atexit
def add_parser_args(parser, config_type):
# General arguments
parser.add_argument(
'--trace_gre... | python |
"""add column source_file_dir
Revision ID: 3880a3a819d5
Revises: 2579e237c51a
Create Date: 2019-11-12 16:49:05.040791
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '3880a3a819d5'
down_revision = '2579e237c51a'
branch_labels = None
depends_on = None
def upgr... | python |
from collections import OrderedDict
from django.db.models import Count
from django.db.models.functions import TruncYear
from .models import Reading
def annual_reading_counts(kind="all"):
"""
Returns a list of dicts, one per year of reading. In year order.
Each dict is like this (if kind is 'all'):
... | python |
import os
from CPAC.pipeline import nipype_pipeline_engine as pe
import nipype.algorithms.rapidart as ra
import nipype.interfaces.fsl as fsl
import nipype.interfaces.io as nio
import nipype.interfaces.utility as util
from .utils import *
from CPAC.vmhc import *
from nipype.interfaces.afni import preprocess
from CPAC.re... | python |
##MIT License
##
##Copyright (c) 2019 Jacob Nudel
##Copyright (c) 2019 Yashu Seth
##
##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 righ... | python |
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as f
from torch.autograd import Variable
import os
import numpy as np
from tqdm import tqdm
class ONE_HOT_MLP(nn.Module):
def __init__(self, hidden):
super(ONE_HOT_MLP, self).__init__()
self.cnn ... | python |
import os
import string
from tqdm import tqdm
#from google.colab import drive
#conda install -c huggingface transformers
import matplotlib.pyplot as plt
#% matplotlib inline
import pandas as pd
import seaborn as sns
import numpy as np
import random
import torch
from torch.utils.data import Dataset, Data... | python |
import json
import unittest
from mock import Mock, patch
import delighted
get_headers = {
'Accept': 'application/json',
'Authorization': 'Basic YWJjMTIz',
'User-Agent': "Delighted Python %s" % delighted.__version__
}
post_headers = get_headers.copy()
post_headers.update({'Content-Type': 'application/jso... | python |
#!/usr/bin/env python3
from typing import Any, List
import configargparse
import paleomix
SUPPRESS = configargparse.SUPPRESS
class ArgumentDefaultsHelpFormatter(configargparse.ArgumentDefaultsHelpFormatter):
"""Modified ArgumentDefaultsHelpFormatter that excludes several constants (True,
False, None) and us... | python |
#!/usr/bin/env nix-shell
#!nix-shell -i python -p python3 -I nixpkgs=../../pkgs
# SPDX-FileCopyrightText: 2020 Daniel Fullmer and robotnix contributors
# SPDX-License-Identifier: MIT
import json
import os
import urllib.request
def save(filename, data):
open(filename, 'w').write(json.dumps(data, sort_keys=True, in... | python |
from .transformer import TransformerXL | python |
# encoding: utf-8
from hoopa import const
from hoopa.middlewares.stats import StatsMiddleware
NAME = "hoopa"
# 最大协程数
WORKER_NUMBERS = 1
# 请求间隔, 可以是两个int组成的list，间隔随机取两个数之间的随机浮点数
DOWNLOAD_DELAY = 3
# pending超时时间，超过这个时间，放回waiting
PENDING_THRESHOLD = 100
# 任务完成不停止
RUN_FOREVER = False
# 队列
# 调度器队列，默认redis, memory, mq
QUE... | python |
from pathlib import Path
SRC = Path(__file__).parent
BLD = SRC.parent.joinpath("bld")
| python |
from collections import Counter
class Square(Counter):
"""Creates a special purpose counter than can store only one value, and wipes itself when zero."""
def __init__(self):
"""Object should be initialized empty."""
pass
def __setitem__(self, key, cnt):
"""Update the count."""
... | python |
from django.http import JsonResponse
from django.shortcuts import render
from django.views.generic import View
# model
from timepredictor.models import PrediccionTiempos, UltimosGps
# Create your views here.
class MapHandler(View):
'''This class manages the map where the bus and stops are shown'''
def __init... | python |
"""
CLI Module.
Handles CLI for the Repository Updater
"""
from os import environ
from sys import argv
import click
import crayons
from . import APP_FULL_NAME, APP_VERSION
from .github import GitHub
from .repository import Repository
@click.command()
@click.option(
"--token",
hide_input=True,
prompt="G... | python |
'''Functions to calculate seismic noise in suspended optics.
'''
from __future__ import division
import numpy as np
from scipy.interpolate import PchipInterpolator as interp1d
def seismic_suspension_fitered(sus, in_trans):
"""Seismic displacement noise for single suspended test mass.
:sus: gwinc suspension ... | python |
def func(num):
return x*3
x = 2
func(x)
| python |
CHECKPOINT = 'model/checkpoint.bin'
MODEL_PATH = 'model/model.bin'
input_path = 'input/train.csv'
LR = 0.01
scheduler_threshold = 0.001
scheduler_patience = 2
scheduler_decay_factor = 0.5
embed_dims = 128
hidden_dims = 128
num_layers = 1
bidirectional = False
dropout = 0.2
out_dims = 128
Batch_Size = 64
Epochs = 100... | python |
import pygame
# game
from cgame import CGame
def main():
try:
CGame().run()
except Exception as e:
print(e)
if __name__ == '__main__':
pygame.init()
main()
| python |
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