content stringlengths 5 1.05M |
|---|
class Vocabulary:
UNK = '<unk>'
def __init__(self):
self.__size = 1
self.__dict = {self.UNK: 0}
self.__reverse_dict = {'0': self.UNK}
self.__freeze = False
def __len__(self):
return self.__size
def freeze(self):
self.__freeze = True
def transform(... |
from AVL_TABLE import AVL_TABLE as AvlT
import os
class Nodo:
def __init__(self, avlTable, name):
self.name = name
self.avlTable = avlTable
self.izq = None
self.der = None
self.factor = 1
class AVL_DB:
def __init__(self):
self.raiz = None
def insertar(s... |
import importlib
class BMCType:
pass
class BMCError(Exception):
pass
types = []
def register_bmc_type(klass):
inst = klass()
types.append(inst)
def resolve_bmc_type(klass_name):
return next(t for t in types if t.name == klass_name)
def list_bmc_types():
return types
importlib.impor... |
import pandas as pd
import numpy as np
import re
import json
# dataset is downloaded from https://data.cityofnewyork.us/Health/DOHMH-New-York-City-Restaurant-Inspection-Results/rs6k-p7g6
data = pd.read_csv('../data/raw_data/DOHMH_New_York_City_Restaurant_Inspection_Results.csv')
# select columns of interest
isp_data ... |
#!/usr/bin/env python
# Score is:
# % gene level right or - gene's num txpts
# + % txpt level right
# + % uniq calls right
# + % definitive rel calls right
import os, re, sys
from os.path import basename, exists, getsize
from operator import itemgetter
from sys import stderr
import argparse
class G:
"""Gene... |
import os, os.path, datetime, string, errno
from maperipy import *
import GenIsraelHikingTiles
# http://stackoverflow.com/questions/749711/how-to-get-the-python-exe-location-programmatically
MaperitiveDir = os.path.dirname(os.path.dirname(os.path.normpath(os.__file__)))
# App.log('MaperitiveDir: ' + MaperitiveDir)
Pro... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import scipy.stats
def get_meta_backbone(name, state_dict=None):
if name == 'conv4':
from meta_backbones import conv4
backbone = conv4()
elif name == 'resnet12':
from meta_backbones import resnet12
... |
import rclpy #ros
from rclpy.node import Node
from std_msgs.msg import String #msg
class MinimalSubscriber(Node):
def __init__(self):
super().__init__('minimal_subscriber')
self.subscription = self.create_subscription(String,'topic', self.listener_callback,10)
self.subscription # prevent ... |
from flask import Flask, request, jsonify
from flask_basicauth import BasicAuth
from textblob import TextBlob
import pickle as pkl
import pandas as pd
import os
model = pkl.load(open('./models/model.pkl','rb'))
app = Flask(__name__)
app.config['BASIC_AUTH_USERNAME'] = os.environ.get('BASIC_AUTH_USERNAME')
app.confi... |
from flask import render_template, redirect, url_for, abort, flash, request
from . import main
from flask_login import login_required, current_user
from app.models import User, Post, Category
from .. import db,photos
from .forms import UpdateProfile,CommentsForm,PostForm
@main.route('/')
def index():
posts = Po... |
import re
import pandas as pd
import numpy as np
import scipy as sp
from scipy.spatial.distance import pdist
import sys
import warnings
import sklearn
import importlib
import copy
if (sys.version_info < (3, 0)):
warnings.warn("As of version 0.29.0 shap only supports Python 3 (not 2)!")
import_errors = {}
def as... |
# I gave up on Haskell for this one after I spent hours optimizing...
from blist import *
numPlayers = 458
numBalls = 7130700
scores = blist([0]*numPlayers)
balls = blist([0])
lastPos = 0
for i in range(1, numBalls):
if (i%1000 == 0):
print(i, numBalls)
player = i % numPlayers
# print(i, lastPos,... |
import requests
from datetime import datetime
def get_country(country):
url = 'https://corona.lmao.ninja/countries/' + country
response = requests.get(url)
data = [
response.json()['country'],
response.json()['cases'],
response.json()['todayCases'],
response.json()['deaths'... |
from abc import ABC
import json
import os
import logging
import numpy as np
import torch
from torch.utils.data import TensorDataset, DataLoader, SequentialSampler
import torch.nn as nn
from transformers.modeling_bert import BertPreTrainedModel, BertModel
from torchcrf import CRF
from ts.torch_handler.base_handler imp... |
# <Copyright 2020, Argo AI, LLC. Released under the MIT license.>
import os
import shutil
from collections import defaultdict
from pathlib import Path
from typing import Any, DefaultDict, Dict, List, Mapping, NamedTuple, Tuple
import numpy as np
from scipy.spatial.transform import Rotation
from argoverse.evaluation.... |
"""
HTTP interface for retrieving a topology.
Currently this means an XML representation of an NML topology.
Author: Henrik Thostrup Jensen <htj@nordu.net>
Copyright: NORDUnet (2013)
"""
from xml.etree import ElementTree as ET
from opennsa.shared import modifiableresource
from opennsa.topology import nmlxml
class... |
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--file', type=str, required=True)
parser.add_argument('--line', type=int, required=True)
args = parser.parse_args()
filename = args.file
line = args.line
with open(filename, 'rt') as f:
lines = f.readlines()
newcontent = [l for i, l in e... |
from netmiko import ConnectHandler
class Router(object):
def __init__(self, hostname=None, os=None, device_type='cisco_ios', ip=None, username='cisco', password='cisco', secret='cisco'):
self.hostname = hostname
self.os = os
self.interfaces = 2
self.device_type = device_type
... |
from mycroft import MycroftSkill, intent_file_handler
from SPARQLWrapper import SPARQLWrapper, JSON
import os
from mycroft.util.log import LOG
from difflib import SequenceMatcher
def similar(a, b):
return SequenceMatcher(None, a, b).ratio()
def uri_to_str(uri):
str = uri.split("/").pop().split("#").pop()
... |
# -*- coding: utf-8 -*-
from os import getcwd
from time import sleep
import boto3
from api.rdb.config import get, is_test
from api.rdb.utils.cognito import get_cognito_app_client_id
from api.rdb.utils.lambda_logger import lambda_logger
from api.rdb.utils.service_framework import handle_request
logger = lambda_logge... |
'''
Flask app intialization
'''
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config.from_object('config')
db = SQLAlchemy(app)
import mysite.routes
|
from __future__ import absolute_import, division, print_function
import numpy as np
from sklearn.base import BaseEstimator
from SparseGroupLasso.linalg import vec_norm, dot
from .utils import S, norm_non0
__author__ = 'Romain Tavenard romain.tavenard[at]univ-rennes2.fr'
class SSGL(BaseEstimator):
"""A Semi-Spa... |
# -*- coding: utf-8 -*-
"""Example that runs the checks on all structures in the CoRE MOF"""
import concurrent.futures
from glob import glob
import pandas as pd
from tqdm import tqdm # pylint:disable=import-error
from mofchecker import MOFChecker
from mofchecker.errors import NoMetal
all_structures = glob("2019-11-... |
# -*- coding: utf-8 -*-
from celery.schedules import crontab
from celery.task import periodic_task
from celery import group
from .models import User
from .subtasks.user import task_check_user
@periodic_task(run_every=crontab(minute=0), ignore_result=True)
def task_start_worker():
user_id_list = User.objects.filter... |
# -*- coding: utf-8 -*
"""FaceNet inference implementation."""
import tensorflow.compat.v1 as tf
class FaceNet:
"""FaceNet inference implementation."""
def __init__(self, model_path):
"""Class constructor.
Parameters
----------
model_path : str
Path to a trained F... |
class UserGroup:
def __init__(self, group_name, members):
self.group_name = group_name
self.members = members
self.members_count = len(self.members)
def update_group_expense(self, lender, amount):
# Check if lender is in the group
if lender in self.members:
count_shares = self.members_count - 1
els... |
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: hack2020team/headposeservice/pose_service.proto
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf i... |
#!/usr/bin/env python
import os
import sys
import fastq
import generalUtils
import argparse
parser = argparse.ArgumentParser(description='writes sequence length distribution')
parser.add_argument('-i', required= True, help='input')
parser.add_argument('-o', required= True, help='output')
parser.add_argument('-l', requ... |
import re
import requests
import weather_dao
from requests.exceptions import RequestException
def get_one_page(url, headers):
try:
response = requests.get(url, headers=headers)
if response.status_code == 200:
response.encoding = 'utf-8'
return response.text
return N... |
def fun():
n=int(input())
total=(n*(n+1)*(2*n+1))/6
sum=(n+1)*(n+1)
sum=(sum*(sum-1))/12
print(int(sum//total))
n=int(input())
while n!=0:
n-=1
fun()
|
import torch
import torch.nn as nn
import os
from collections import OrderedDict
from functools import partial
import colossalai
import colossalai.nn as col_nn
import torch
import torch.nn as nn
from colossalai.builder import build_pipeline_model
from colossalai.engine.schedule import (InterleavedPipeline... |
import os
from slackclient import SlackClient
slack_token = os.environ["SLACK_API_TOKEN"]
sc = SlackClient(slack_token)
# Get the group channels with the following
# for group in sc.api_call("groups.list").get("groups"):
# print("{}-{}".format(group['id'],group['name']))
sc.api_call(
"chat.postMessage",
chann... |
#!/usr/bin/env python3
# coding: utf8
# Author: Lenz Furrer, 2017
'''
Iteration utilities.
'''
import json
import itertools as it
def iter_chunks(iterable, chunksize):
'''
Iterate over chunks of fixed size.
'''
base = iter(iterable) # make sure items are consumed by islice()
while True:
... |
import os
import random
import discord
from discord.ext import commands
from dotenv import load_dotenv
load_dotenv()
token = os.getenv('DISCORD_TOKEN')
GUILD = os.getenv('DISCORD_GUILD')
bot = commands.Bot(command_prefix='!')
@bot.event
async def on_ready():
guild = discord.utils.get(bot.guilds, name=GUILD)
... |
import numpy as np
import scipy.stats
import pandas
class EvalIRModel(object):
def __init__(self,dictModels,dictMetrics,queries):
self.dictModels = dictModels
self.dictMetrics = dictMetrics
self.queries = queries
def evalSimple(self,idq,mod,met):
liste = self.dictMo... |
from kitsune.karma.actions import KarmaAction
from kitsune.karma.manager import KarmaManager
class TestAction1(KarmaAction):
"""A test action for testing!"""
action_type = 'test-action-1'
default_points = 3
class TestAction2(KarmaAction):
"""Another test action for testing!"""
action_type = 'tes... |
from __future__ import absolute_import
import pytest
from sentry.auth.exceptions import IdentityNotValid
from sentry.models import AuthIdentity, AuthProvider
from sentry.testutils import TestCase
from sentry_auth_chy.constants import DATA_VERSION
class ChyOAuth2ProviderTest(TestCase):
def setUp(self):
... |
"""Common utils for the project"""
import csv
from datetime import datetime
from functools import wraps
AIRPORTS = {
'AMS': {
'city_code': 'NL',
'country': 'BKK'
},
'BKK': {
'city_code': 'FRA',
'country': 'DE'
},
'BUR': {
'city_code': 'BUR',
'countr... |
"""shmap.py
A class for working with imported shmeppy .json maps
"""
import json
from datetime import datetime
import shmobjs
TOKEN_OPS = {
'CreateToken': ['color', 'position', 'tokenId'],
'MoveToken': ['position', 'tokenId'],
'UpdateTokenLabel': ['label', 'tokenId'],
'DeleteToken': ['tokenId'],
... |
#!/usr/bin/env python3
import asyncio
import requests
import sys
from concurrent.futures import ThreadPoolExecutor
import pyfiglet
#ascii_banner = pyfiglet.figlet_format("S3LURKARN")
url = 'https://s3.amazonaws.com/'
name = sys.argv[1].strip()
connectors = ['-','_','']
url = url + name
def fetch(session, com):
... |
from django import forms
from django.contrib.contenttypes.models import ContentType
class VoteForm(forms.Form):
content_type = forms.ModelChoiceField(widget=forms.HiddenInput, queryset=ContentType.objects.all())
object_id = forms.IntegerField(widget=forms.HiddenInput)
vote = forms.IntegerField(widget=forms.HiddenIn... |
load("@bazel_gazelle//:deps.bzl", "go_repository")
# Run this to update:
# bazel run //:gazelle -- update-repos -from_file=go.mod -to_macro=deps.bzl%go_dependencies
def go_dependencies():
go_repository(
name = "co_honnef_go_tools",
importpath = "honnef.co/go/tools",
sum = "h1:W18jzjh8mfPe... |
import numpy as np
from PuzzleLib.Backend import gpuarray
from PuzzleLib.Containers.Sequential import Sequential
from PuzzleLib.Modules.Conv2D import Conv2D
from PuzzleLib.Modules.Activation import Activation, relu
from PuzzleLib.Modules.MaxPool2D import MaxPool2D
from PuzzleLib.Modules.AvgPool2D import AvgPool2D
fro... |
from __future__ import unicode_literals
import json
import mock
import time
from base64 import b64encode
from copy import deepcopy
from unittest import TestCase
from oauthlib.common import urlencode
from oauthlib.oauth2 import TokenExpiredError, OAuth2Error
from oauthlib.oauth2 import MismatchingStateError
from oauthl... |
# Copyright (c) Ye Liu. All rights reserved.
from .io import dump, dumps, list_from_file, load, loads, open
__all__ = ['dump', 'dumps', 'list_from_file', 'load', 'loads', 'open']
|
"""SELU Activation Function"""
from torch.nn import SELU as _SELU
from neuralpy.utils import CustomLayer
class SELU(CustomLayer):
"""
SELU applies scaled exponential linear units to input tensors
For more information, check https://pytorch.org/docs/stable/nn.html#selu
Supported Arguments
name... |
import pandas as pd
df = pd.read_csv('CFR_WorldData.csv')
"""
Pasar de:
1. Entity
2. Code
3. Date
4. Total confirmed deaths due to COVID-19 (deaths)
5. Total confirmed cases of COVID-19 (cases)
a las siguientes tablas, una por pais
1. date
2. total cases
3. total deaths
"""
filt = d... |
import unittest
import os
import foowise.test
def additional_tests():
this_suite_path = os.path.abspath(__file__)
test_dir = os.path.dirname(this_suite_path)
loader = unittest.TestLoader()
return loader.discover(test_dir, pattern='Test_*.py')
|
import binascii;
"""
def bin2hex(bin_prog):
hex_prog = "";
j = 0;
for i in range(int(len(bin_prog)/8)):
hex_prog = hex_prog + (binascii.b2a_hex(bin_prog[(i*8)+4]));
hex_prog = hex_prog + (binascii.b2a_hex(bin_prog[(i*8)+5]));
hex_prog = hex_prog + (binascii.b2a_hex(bin_prog[(i*8)+6]));
hex_prog = hex_prog... |
import cv2
import time
import imutils
cam=cv2.VideoCapture(0)
time.sleep(1)
firstFrame=None
area=500
while True:
_,img=cam.read()
text="Normal"
img=imutils.resize(img,width=500)
grayImg=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
gaussianImg=cv2.GaussianBlur(grayImg,(21,21),0)
if f... |
from algorithms import *
from utils import DataUtils
if __name__ == '__main__':
logging.basicConfig(level=logging.INFO)
data = DataUtils('data/基站经纬度.csv', 'data/上网信息输出表（日表）6月15号之后.csv')
mip_placer = MIPServerPlacer(data.base_stations, data.distances)
mip_placer.place_server(10, 2)
print(mip_placer... |
#!/usr/bin/env python
from setuptools import find_packages
from distutils.core import setup
version = {}
with open('src/version.py', 'r') as fp:
exec(fp.read(), version)
with open('requirements.txt', 'r') as fp:
required = fp.read().splitlines()
with open('README.md', 'r') as fh:
long_description = fh.r... |
from convs.condconv import *
from convs.cc_inf import *
from convs.dyconv import *
from convs.dyres_conv import *
from convs.dyres_inf import *
from convs.ddsnet import *
from convs.dds_exp import *
from convs.dychannel import *
from flops_counter import get_model_complexity_info
import torch
x = torch.randn(1, 16, 3... |
from pyroot_easiroc.MuonTrackReconstructor import MuonTrackReconstructor
from tqdm import tqdm
rootfile_path = "/data/hamada/easiroc_data/run017.root"
threshold_s = [1200] * 64
mtr = MuonTrackReconstructor(rootfile_path, threshold_s)
mtr._pre_cut_threshold_layer()
mtr._multi_hit()
mtr._under_layer_limit()
mtr.hit_muo... |
import argparse
import os
import anndata
import numpy as np
import pandas as pd
import scanpy as sc
from scipy import sparse
import trvae
if not os.getcwd().endswith("tests"):
os.chdir("./tests")
from matplotlib import pyplot as plt
FASHION_MNIST_CLASS_DICT = {
0: "T-shirt or top",
1: "Trouser",
2:... |
"""Qt windows for camera controlled labeling
Colin Dietrich 2019
"""
from functools import partial
from PyQt5 import QtGui, QtCore
from PyQt5.QtWidgets import QWidget, QApplication
# import everything, since it's hard to remember what class does what
from PyQt5.QtWidgets import QMainWindow,\
QApplication,... |
'''
Created on Feb 8, 2016
@author: hanhanwu
'''
import math
import load_match_data
import preprocess_data
def sumsqures(v):
return sum([p**2 for p in v])
# radial-basis function, used as a kernel to get best linear separation for a given data set with proper adjustments
def rbf(v1, v2, gamma=20):
dv = [v1[i... |
#!/usr/bin/env python3
from collections import namedtuple
import contextlib
import io
import json
import logging
import os
from pathlib import Path
import shlex
import signal
import subprocess
import sys
import tempfile
import uuid
import zmq
from .simplesetup import RemoteTeamPlayer, SimpleController, SimplePublish... |
name = input("What's your name?")
old = input("How old are u?")
live = input("Where are u from?")
print("This is:", name)
print("It is:", old)
print("She(he) lives in:", live)
|
from __future__ import annotations
from spark_auto_mapper_fhir.fhir_types.uri import FhirUri
from spark_auto_mapper_fhir.value_sets.generic_type import GenericTypeCode
from spark_auto_mapper.type_definitions.defined_types import AutoMapperTextInputType
# This file is auto-generated by generate_classes so do not edi... |
import sys
from PyQt5 import QtWidgets, QtGui
def window():
app = QtWidgets.QApplication(sys.argv)
w = QtWidgets.QWidget()
l1 = QtWidgets.QLabel(w)
l2 = QtWidgets.QLabel(w)
l1.setText('this is a test')
l2.setPixmap(QtGui.QPixmap('../resources/lab-badge.png'))
w.setWindowTitle('ImageAlign... |
import os, sys
import yaml
import logging
import click
from voluptuous import Schema
from .defaults import settings
from .validators import SchemaCheck
from .config_utils import process_config
from .exceptions import *
from .utils import *
from .indexlist import IndexList
from .snapshotlist import SnapshotList
from .ac... |
#
# PySNMP MIB module JUNIPER-JS-DNS-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/JUNIPER-JS-DNS-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:59:32 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, ... |
from sklearn.feature_extraction.text import TfidfVectorizer
from mosestokenizer import MosesDetokenizer
from nltk.corpus import stopwords
#open to file in this directory
f1= open('/home/shuchita-rahman/Documents/thesis/f1', 'r')
f2= open('/home/shuchita-rahman/Documents/thesis/f2', 'r')
#put file data in data variabl... |
frase = (input('Digite uma frase: ').upper().strip())
print('Sua frase tem {} letras A'.format(frase.count('A')))
print('A primeira letra A está na posição: {}'.format(frase.find('A')+1))
print('A última letra A está na posição: {}'.format(frase.rfind('A')+1))
|
# 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 agreed to in... |
# 띄어쓰기, 들여쓰기 꼭 확인하세요!
# answer와 같은 형태가 되도록 string1, string2, string3를 수정하고 조합해주세요!
answer = "3/29은 NEXT 세션하는 날!"
string1 = "2021-03-29은 "
string2 = "next"
string3 = " 세션하는 날! "
string1 = string1.replace("2021-0", "").replace("-", "/")
string2 = string2.upper()
string3 = string3.strip()
string = string1 +... |
import socket
from six.moves.urllib.parse import urlparse
from frappe import get_conf
config = get_conf()
REDIS_KEYS = ('redis_cache', 'redis_queue', 'redis_socketio')
def is_open(ip, port, timeout=10):
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.settimeout(timeout)
try:
s.connect((ip, int(port)))
... |
from torch import nn
from pystiche.image import CaffePreprocessing, TorchPreprocessing
PREPROCESSORS = {"torch": TorchPreprocessing, "caffe": CaffePreprocessing}
__all__ = ["get_preprocessor"]
def get_preprocessor(framework: str) -> nn.Module:
return PREPROCESSORS[framework]()
|
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2012, 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
#
... |
import sys
from io import StringIO
from contextlib import contextmanager
@contextmanager
def capture_output():
'''
Context manager to capture stdout and stderr.
Captures stddout and stderr from a Python code section,
using two StringIO objects.
Example::
with capture_output() as (out, err... |
def file(path:str, operation:str = 'r'):
with open(path, operation) as f:
return f.read()
|
import pygame
import sys
from definitions import *
from gameParameters import backgroundImage, gameDisplay, display_width, \
display_height, clock
class Button:
"""Class for rectangular buttons
Args:
location (tuple, int): Defines self.x, self.y
width (int, default=80): Defines self._widt... |
from dataclasses import dataclass
from typing import List
from omegaconf import DictConfig
@dataclass
class Data:
name: str
num_classes: int
root: str
@dataclass
class Logger:
name: str
save_dir: str
@dataclass
class Preprocess:
horizontal_flip: bool
horizontal_flip_rate: float
ra... |
import logging
import sys
import warnings
import numpy as np
import pytest
import rasterio
from rasterio.enums import MaskFlags
from rasterio.errors import NodataShadowWarning, RasterioDeprecationWarning
@pytest.fixture(scope='function')
def tiffs(tmpdir):
with rasterio.open('tests/data/RGB.byte.tif') as src:
... |
import tensorflow as tf
from sklearn.utils import shuffle
import pickle as pkl
import datetime
import numpy as np
import os
from utils import initialize_uninitialized, batch_retrieve
class BNN(object):
def __init__(self, sess, checkpoint_dir, log_dir,
x_dim, y_dim, num_models, n_data,
... |
from empire.python.typings import *
from empire.enums.base_enum import BaseEnum
class TemperatureStates(BaseEnum):
NORMAL: Final[str] = 'normal'
HIGH: Final[str] = 'high'
CRITICAL: Final[str] = 'critical'
UNKNOWN: Final[str] = 'unknown'
|
from .nodes import Node, Producer, Consumer, SynchronousConsumer
from .utils import connect, start, stop
from .queues import Queue
|
##########################################################################
#
# pgAdmin 4 - PostgreSQL Tools
#
# Copyright (C) 2013 - 2020, The pgAdmin Development Team
# This software is released under the PostgreSQL Licence
#
##########################################################################
import json
from... |
# encoding = utf-8
ERROR_TEMPLATE = '''{"error_code": "%s", "error_msg": "%s", "reason": "%s"}'''
class TraderError(Exception):
'''
交易错误和代码定义
'''
ERROR_CODE = '0'
ERROR_MSG = 'Success'
def __init__(self, reason):
super(TraderError, self).__init__(ERROR_TEMPLATE % (self.ERROR_CODE, se... |
from .dataset import Dataset
from .dataset_group import DatasetGroup
from .image import DockerImage
from .image_config import DockerImageConfig
from .image_relationship import DockerImageRelationship
from .iteration import Iteration
from .model import Model
from .model_group import ModelGroup
from .project import Proje... |
import csv
import os
from flask import Flask, request, send_file, render_template, flash, redirect, url_for
from io import BytesIO, StringIO
from vpg.VoucherPrint import VoucherPrint
import subprocess
import mysql.connector
from mysql.connector import errorcode
import tempfile
import itertools
PDFJAM_BIN = "/usr/bin/... |
# Copyright 2020 Google LLC. 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 a... |
from time import sleep
from userbot import CMD_HELP
from userbot.events import register
@register(outgoing=True, pattern='^.yins(?: |$)(.*)')
async def typewriter(typew):
typew.pattern_match.group(1)
sleep(3)
await typew.edit("`𝙃𝙖𝙞 𝙋𝙚𝙧𝙠𝙚𝙣𝙖𝙡𝙠𝙖𝙣 𝙉𝙖𝙢𝙖 𝙂𝙪𝙖 𝘼𝙮𝙞𝙞𝙣`")
sleep(3)
a... |
from typing import Any, List
import torch.nn as nn
from torch import Tensor
class BasicBlock(nn.Module):
def __init__(
self,
in_channels: int,
out_channels: int,
kernel_size: int,
stride: int,
padding: int,
use_batch_norm: bool = False
) -> None:
... |
# The MIT License
#
# Copyright (c) 2017 Transact Pro.
#
# 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, m... |
from smtplib import SMTPException
from typing import Tuple, Optional, Dict
from urllib.parse import urlencode
from django import forms
from django.utils.translation import gettext as _
from django.core.exceptions import ObjectDoesNotExist
from django.core.mail import send_mail
from django.template.loader import render... |
""" Sonde check attempts to read each sonde file with netCDF4, error
files are sent to a new directory. """
import glob
import os
import shutil
import stat
import netCDF4
files = glob.glob('/lustre/or-hydra/cades-arm/proj-shared/sgpsondewnpnC1.b1/*')
for file in files:
try:
sonde = netCDF4.Dataset(file... |
import ai
from detect import detectar_resultado
tabuleiro = [' ', ' ', ' ',
' ', ' ', ' ',
' ', ' ', ' '
]
class JogadaInvalida(RuntimeError):
pass
def coordenada_esta_no_limite(c, texto):
while (c < 0) or (c > 2):
c = int(input('Digite o valor da '+ str(texto) + ': '... |
"""Abstract graphs in ReGraph.
This module contains abstract classes for graph objects in ReGraph. Such
graph objects represent simple graphs with dictionary-like attributes
on nodes and edges.
"""
import json
import os
import warnings
from abc import ABC, abstractmethod
from regraph.exceptions import (ReGraphError... |
#对比ecl prt中trans结果与cloud trans结果,NNC要实用 'ALLNNC'
##参数
PRTPATH = r"C:\Users\shixi\Documents\newLandProj\zaoyuan\SimCases\C_project\C\C.PRT"
CLOUDTRANSPATH=r"C:\Users\shixi\Desktop\trans.test"
NX=71
NY=140
NZ=42
##PRTPATH = r"C:\Users\shixi\Desktop\cases\ZhanJiang\BASE_newC\BASE_newC.PRT"
##CLOUDTRANSPATH=r"C:\User... |
"""
A test for the buttons on the mini-PiTFT display from adafruit.
The code is based on an example on adafruit.com
Note:
Inside the while-loop, a sleep function is used to avoid 100% CPU usage.
This is the because the script is run very fast and the loop is repeating
continuously. Sleeping for 0.01s make not visible... |
# Copyright 2020 The Oppia 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 applicable ... |
class ContextError(Exception):
"""
Top-level error handling all context problems.
"""
def __init__(self):
Exception.__init__(self, 'General run context error')
class ContextRegistrationError(RuntimeError):
pass
class ContextAlreadyRegisteredError(ContextRegistrationError):
def __in... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
from sepia.DataContainer import DataContainer
sns.set()
class SepiaData(object):
"""
Data object used for SepiaModel, containing potentially both `sim_data` and `obs_... |
import sys
from django.contrib.auth import get_user_model
from django.contrib.auth.models import Group
from django.core.management.base import BaseCommand
from core.utils import create_temporary_password
from ...utils import ensure_group_exists, create_user, ensure_user_is_member_of_group, CrowdError
def dot(ch='.... |
import numpy as np
from helper_class1.data_reader import DataReader
from helper_class1.hyper_parameters import HyperParameters
from helper_class1.neural_net import NeuralNet
from matplotlib import pyplot as plt
file_name = '../../../ai-edu/A-基础教程/A2-神经网络基本原理简明教程/data/ch04.npz'
data_reader = DataReader(file_na... |
#!/usr/bin/env python
from sys import stdin
def main():
m = int(stdin.readline())
dom = {}
count = [0]*7
for i in range(7):
for j in range(7):
if i != j: dom[i, j] = []
for i in range(m):
j, k = stdin.readline().split()
j, k = int(j), int(k)
count[j] += 1
count[k] += 1
dom[j, k... |
from rest_framework.permissions import BasePermission
from cride.circles.models import Membership
class isCircleAdmin(BasePermission):
def has_object_permission(self, request, view, obj):
"""verify user have a membership in the obj
Args:
request ([type]): [description]
... |
from csrv.model import actions
from csrv.model import timing_phases
from csrv.model.cards import asset
from csrv.model.cards import card_info
class YesCard01087(actions.Action):
DESCRIPTION = 'Give the runner tags'
def __init__(self, game, player, advancements):
self.advancements = advancements
def resolv... |
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