content stringlengths 0 894k | type stringclasses 2
values |
|---|---|
from setuptools import setup
from distutils.util import convert_path
from os import path
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
main_ns = {}
ver_path = convert_path('betacal/version.py')
with open(... | python |
# Accept three subject marks and display % marks.
m1 = float(input("Enter marks 1.: "))
m2 = float(input("Enter marks 2: "))
m3 = float(input("Enter marks 3: "))
percent = (m1+m2+m3)/3
print("% marks", percent)
| python |
class ReturnValue(object):
"""\brief Container for a return value for a daemon task or command. If the
the code is set to 0 the operation succeeded and the return value is
available. Any other code indicates an error.
[NOTE: we need to define other values, ala HTTP]
"""... | python |
# This example shows how to train a built in DQN model to play CartPole-v0.
# Example usage:
# python -m example.cartpole.train_dqn
# --- built in ---
import time
import json
# --- 3rd party ---
import gym
import tensorflow as tf
# run on cpu
tf.config.set_visible_devices([], 'GPU')
# --- my module ---
import unst... | python |
#
# General Electricity sector Decarbonization Model (GEDM)
# Copyright (C) 2020 Cheng-Ta Chu.
# Licensed under the MIT License (see LICENSE file).
#
# Module note:
# Functions to initialize instance settings
#
#----------------------------------------------------
# sets
#---------------------------------------------... | python |
from email import header
from multimethod import distance
import scipy
from scipy.signal import find_peaks as scipy_find
from core.preprocessing import read_data
from scipy.signal._peak_finding_utils import _local_maxima_1d
from scipy.signal._peak_finding import _arg_x_as_expected
from utils.visualize import see_spec... | 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>
import unittest
import units.pressure.pascals
class TestPascalsMethods(unittest.TestCase):
def test_convert_known_pascals_to_atmospheres(self):
self.asser... | python |
from binaryninja import *
from pathlib import Path
import hashlib
import os
import subprocess
class Decompiler(BackgroundTaskThread):
def __init__(self,file_name,current_path):
self.progress_banner = f"[Ghinja] Running the decompiler job ... Ghinja decompiler output not available until finished."
B... | python |
# coding: utf8
from __future__ import unicode_literals
from ..norm_exceptions import BASE_NORMS
from ...attrs import NORM
from ...attrs import LIKE_NUM
from ...util import add_lookups
_stem_suffixes = [
["ो","े","ू","ु","ी","ि","ा"],
["कर","ाओ","िए","ाई","ाए","ने","नी","ना","ते","ीं","ती","ता","ाँ",... | python |
from rpasdt.common.enums import StringChoiceEnum
class NodeAttributeEnum(StringChoiceEnum):
"""Available node attributes."""
COLOR = "COLOR"
SIZE = "SIZE"
EXTRA_LABEL = "EXTRA_LABEL"
LABEL = "LABEL"
SOURCE = "SOURCE"
class DistanceMeasureOptionEnum(StringChoiceEnum):
pass
NETWORK_OPTI... | python |
"""ProtocolEngine tests module."""
| python |
# -*- coding: utf-8 -*-
import logging
import requests
from bs4 import BeautifulSoup
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger('wb')
class Client:
def __init__(self):
self.session = requests.Session()
self.session.headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Wi... | python |
import json
import os
from pathlib import Path
from time import sleep
from tqdm import tqdm
from ..graph.models import Concept, Work
from ..utils import get_logger
from . import get_concepts_es_client
from .format import (
format_concept_for_elasticsearch,
format_story_for_elasticsearch,
format_work_for_e... | python |
# ex_sin.py
# author: C.F.Kwok
# date: 2018-1-5
from simp_py import tft
from math import sin, radians
import time
class SIN:
global tft
def __init__(self):
self.init_plot()
tft.tft.clear()
def run(self):
global sin, radians
ang=0
for x in range(320):
... | python |
from django import forms
class ModelMultiValueWidget(forms.MultiWidget):
def __init__(self, *args, **kwargs):
self.model = kwargs.pop('model')
self.labels = kwargs.pop('labels', [None])
self.field_names = kwargs.pop('field_names', [None])
super(ModelMultiValueWidget, self).__init__... | python |
import atexit
import subprocess
from multimedia.constants import AUDIO_OUTPUT_ANALOG, KEY_DOWN_ARROW, KEY_LEFT_ARROW, KEY_RIGHT_ARROW, KEY_UP_ARROW
from multimedia.functions import exit_process_send_keystroke, popen_and_wait_for_exit, send_keytroke_to_process
from multimedia.playerhandler import PlayerHandler
class O... | python |
# -*- coding: utf-8 -
#
# This file is part of tproxy released under the MIT license.
# See the NOTICE for more information.
version_info = (0, 5, 4)
__version__ = ".".join(map(str, version_info))
| python |
''' Calculates the Frechet Inception Distance (FID) to evalulate GANs or
other image generating functions.
The FID metric calculates the distance between two distributions of images.
Typically, we have summary statistics (mean & covariance matrix) of one
of these distributions, while the 2nd distribution is given by a... | python |
# Copyright (c) 2014 Scality
#
# 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, s... | python |
from .convunet import unet
from .dilatedunet import dilated_unet
from .dilateddensenet import dilated_densenet, dilated_densenet2, dilated_densenet3
| python |
import mlflow.pyfunc
class Model(mlflow.pyfunc.PythonModel):
"""
Abstract class representing an MLFlow model.
Methods:
fit
predict
validate
register
download
Attrs:
"""
def __init__():
self.base_model = init_BaseModel()
def fit(... | python |
# coding: utf-8
from __future__ import unicode_literals
import re
from .common import InfoExtractor
class TeleBruxellesIE(InfoExtractor):
_VALID_URL = (
r"https?://(?:www\.)?(?:telebruxelles|bx1)\.be/(?:[^/]+/)*(?P<id>[^/#?]+)"
)
_TESTS = [
{
"url": "http://bx1.be/news/que-ri... | python |
from setuptools import setup, find_packages
import sys
import os.path
import numpy as np
# Must be one line or PyPI will cut it off
DESC = ("A colormap tool")
LONG_DESC = open("README.rst").read()
setup(
name="viscm",
version="0.9",
description=DESC,
long_description=LONG_DESC,
author="Nathaniel... | python |
# -*- coding: utf-8 -*-
import llbc
class pyllbcProperty(object):
"""
pyllbc property class encapsulation.
property can read & write .cfg format file.
file format:
path.to.name = value # The comments
path.to.anotherName = \#\#\# anotherValue \#\#\# # The comments too
Property clas... | python |
# -*- coding: utf-8 -*-
"""
@author: Fredrik Wahlberg <fredrik.wahlberg@it.uu.se>
"""
import numpy as np
import random
from sklearn.base import BaseEstimator, ClassifierMixin
from scipy.optimize import fmin_l_bfgs_b
from sklearn.gaussian_process.gpc import _BinaryGaussianProcessClassifierLaplace as BinaryGPC
from skle... | python |
# Copyright (c) 2018 Ultimaker B.V.
# Cura is released under the terms of the LGPLv3 or higher.
from typing import Optional, List
from PyQt5.QtCore import pyqtProperty, pyqtSignal, pyqtSlot, QObject
from UM.Logger import Logger
from UM.Preferences import Preferences
from UM.Resources import Resources
from UM.i18n i... | python |
import numpy as np
from utils import resize, opt
from skimage import morphology
def find_focal_points(image, scope='local', maxima_areas='large', local_maxima_threshold=None, num_points=None):
"""
Finds the 'focal_points' of a model, given a low resolution CAM. Has two modes: a 'local' scope and a 'global' on... | python |
# -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸 (Blueking) 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 License.
You may... | python |
from core import views
from django.urls import path
urlpatterns = [
path('user/', views.UserListView.as_view()),
path('user/<username>/', views.UserDetailView.as_view()),
path('wallet/', views.WalletListView.as_view()),
path('subacc/', views.SubAccountListView.as_view()),
path('subacc/<sub_address... | python |
from math import gcd
from functools import reduce
def fun(a):
return reduce(gcd,a)
for i in range(int(input())):
n = int(input())
a = list(set([int(j) for j in input().split()]))
if(len(a)==1):
print(a[0]+a[0])
else:
b = max(a)
a.remove(b)
m = b+fun(a)
c = m... | python |
OTHER_METAl_TYPE = {
'chromium':True,
'kanthal':False,
'solder':False,
'aluminium_steel':True,
'weak_aluminium_steel':False,
'bismuth_steel':True,
'weak_bismuth_steel':False,
'damascus_steel':True,
'weak_damascus_steel':False,
'stainless_steel':False,
'weak_stainless_steel':False,
'rose_alloy':F... | python |
# coding:utf-8
from .util import *
from .abstract_predictor import AbstractPredictor
from .average_predictor import AveragePredictor
from .average_predictor_without_outliers import AveragePredictorWithoutOutliers
from .average_predictor_without_outliers2 import AveragePredictorWithoutOutliers2
from .average_predictor_... | python |
import os
import uuid
class CommitTreeToScriptConverter:
def __init__(self, skip_single_child_nodes, post_conversion_commands, script_file):
self.skip_single_child_nodes = skip_single_child_nodes
self.post_conversion_commands = post_conversion_commands
self.print_debug = False
self... | python |
class Queue(object):
def __init__(self):
self.q = []
def push(self, value):
self.q.insert(0, value)
def pop(self):
return self.q.pop()
def is_empty(self):
return self.q == []
def size(self):
return len(self.q)
# Example
q = Queue()
q.push(1... | python |
import os
from datetime import datetime, timedelta
import pytz
import requests
from google.transit import gtfs_realtime_pb2
GTFS_API_KEY = os.environ.get('TRANSPORT_NSW_API_KEY')
GTFS_REALTIME_URL = 'https://api.transport.nsw.gov.au/v1/gtfs/realtime/buses/'
GTFS_VEHICLE_URL = 'https://api.transport.nsw.gov.au/v1/gtf... | python |
# Generated by Django 3.0.6 on 2020-05-25 01:42
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('sme_management', '0008_auto_20200525_0113'),
]
operations = [
migrations.AlterField(
model_name='smeproject',
name='... | python |
"""Build an online book using Jupyter Notebooks and Jekyll."""
from pathlib import Path
import os
# Load the version from the template Jupyter Book repository config
path_file = Path(__file__)
path_yml = path_file.parent.joinpath('book_template', '_config.yml')
# Read in the version *without* pyyaml because we can't ... | python |
# importing forms
from django import forms
from messenger.models import Message
from newsletter.models import *
class MessageForm(forms.ModelForm):
OPTIONS = (('Y', 'Yes'),
('N', 'No'),)
is_encrypted = forms.ChoiceField(required=True, choices=OPTIONS, help_text="Encrypt this message?")
mess... | python |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2017-08-16 09:01
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('program_manage', '0001_initial'),
]
operations = [
migrations.AlterField(
... | python |
class Shark:
animal_type = "fish"
location = "ocean"
followers = 5
def __init__(self, name, age):
self.name = name
self.age = age
s1 = Shark("Frederick", 12)
s2 = Shark("Nicholas", "10")
print("\n>>> Shark 1 <<<")
print("Name:", s1.name)
print("Age:", s1.age)
print("Type:", s1.ani... | python |
import requests
import os
from core.client import TweepyClient, OpenaiClient
BEARER_TOKEN = ""
API_SECRET_KEY = ""
CLIENT_SECRET = ""
API_KEY = ""
CLIENT_KEY = ""
OPENAI_KEY = ""
def bearer_oauth(r):
# To set your environment variables in your terminal run the following line:
# export 'BEARER_TOKEN'='<your_bea... | python |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.contrib import admin
from .models import Category, Choice, BallotPaper
class ChoiceInline(admin.TabularInline):
model = Choice
extra = 3
class CategoryAdmin(admin.ModelAdmin):
readonly_fields = ('ballot_paper', 'category_name', 'created... | python |
import torch
import torch.nn as nn
import torch.nn.functional as F
class CTLSTMCell(nn.Module):
def __init__(self, hidden_dim, beta=1.0, device=None):
super(CTLSTMCell, self).__init__()
device = device or 'cpu'
self.device = torch.device(device)
self.hidden_dim = hidden_dim
... | python |
"""tools."""
from collections import OrderedDict
import yaml
def ordered_yaml_load(filepath, loader=yaml.Loader,
object_pairs_hook=OrderedDict):
"""ordered_yaml_load."""
class OrderedLoader(loader):
"""OrderedLoader."""
def construct_mapping(loader, node):
"""cons... | python |
from .hankify_pw import hanky_pass # noqa
| python |
from django import template
from ..forms.widgets import LikertSelect, RatingSelect
register = template.Library()
@register.filter
def is_likert(field):
return isinstance(field.field.widget, LikertSelect)
@register.filter
def is_rating(field):
return isinstance(field.field.widget, RatingSelect)
| python |
picture = [
[0,0,0,1,0,0,0],
[0,0,1,1,1,0,0],
[0,1,1,1,1,1,0],
[1,1,1,1,1,1,1],
[0,0,0,1,0,0,0],
[0,0,0,1,0,0,0]
]
for row in range(len(picture)):
for col in range(len(picture[row])):
if picture[row][col] == 1:
print('*', end = '')
else:
print(' ', end = ''... | python |
import socket
from threading import Thread, Lock
import sys
def receiver(sock):
while flag:
data = sock.recv(1024)
if data == 'quit':
sys.exit(0)
print "\t\t"+data
host = '192.168.122.1'
port = 50020
size = 1024
flag = True
sock = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
sock.connect((host,port))
hop ... | python |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# pass1objects.py
#
# Part of MARK II project. For informations about license, please
# see file /LICENSE .
#
# author: Vladislav Mlejnecký
# email: v.mlejnecky@seznam.cz
from common import *
class item():
def __init__(self, parrent, address):
self.address... | python |
from __future__ import unicode_literals
SEQUENCE = [
'bugzilla_url_charfield',
'repository_raw_file_url',
'repository_visible',
'repository_path_length_255',
'localsite',
'repository_access_control',
'group_site',
'repository_hosting_accounts',
'repository_extra_data_null',
'un... | python |
_version='2022.0.1.dev8'
| python |
import torch
import torchvision
import torch.nn as nn
import torch.nn.functional as F
import torchvision.transforms as transforms
from torchsummary import summary
# Device configuration
device = torch.device('cuda: 0' if torch.cuda.is_available() else 'cup')
print(device, torch.__version__)
# Hyper parameters
num_epo... | python |
from queue import PriorityQueue
v = 14
graph = [[] for i in range(v)]
def best_first_search(source, target, n):
visited = [0] * n
visited[0] = True
pq = PriorityQueue()
pq.put((0, source))
while pq.empty() == False:
u = pq.get()[1]
# Displaying the path having lowest ... | python |
#!/usr/bin/python3
from demo_utils.learning import get_model
import time
import json
from demo_utils.general import gamest
from demo_utils.general import get_label
from sklearn.model_selection import GridSearchCV
# Aquí está lo necesario para realizar un expeimento
def cross_validate(model, tunning_params, data_tra... | python |
from application.models.models import BusinessModel, ExerciseModel, SurveyModel, InstrumentModel
def query_exercise_by_id(exercise_id, session):
return session.query(ExerciseModel).filter(ExerciseModel.exercise_id == exercise_id).first()
def query_business_by_ru(ru_ref, session):
return session.query(Busine... | python |
from views import *
from lookups import *
import requests
import re
from utils import *
import itertools
from config import config
if config.IMPORT_PYSAM_PRIMER3:
import pysam
import csv
#hpo lookup
import random
from flask import Response, request
import os
from werkzeug.datastructures import Headers
import re
@a... | python |
import os
import io
import json
import random
import uuid
from collections import defaultdict, Counter
from annoy import AnnoyIndex
from tqdm import tqdm
from itertools import product
import wcag_contrast_ratio as contrast
from PIL import Image, ImageDraw, ImageFont
import numpy as np
from scipy.stats import mode
from ... | python |
#!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
import json
from datetime import datetime
from functools import partial
from typing import Any
from aiohttp import web
from sqlalchemy import select
from tglib.clients import APIServiceClient, MySQLClient
from .models import TopologyHisto... | python |
#!usr/bin/python
# -*- coding:utf8 -*-
class UserModel(object):
users = {
1: {'name': 'zhang', 'age': 10},
2: {'name': 'wang', 'age': 12},
3: {'name': 'li', 'age': 20},
4: {'name': 'zhao', 'age': 30},
}
@classmethod
def get(cls, user_id):
return cls.users[user_... | python |
# Copyright (c) 2019-2021, Jonas Eschle, Jim Pivarski, Eduardo Rodrigues, and Henry Schreiner.
#
# Distributed under the 3-clause BSD license, see accompanying file LICENSE
# or https://github.com/scikit-hep/vector for details.
import numpy
import pytest
import vector._backends.numpy_
import vector._backends.object_
... | python |
import argparse
from data.dataset import *
from model.network import *
from model.representation import *
from training.train import *
tf.random.set_random_seed(1950)
random.seed(1950)
np.random.seed(1950)
def parse_model(name):
ind_str = name.split("_")[1]
ind = [int(i) for i in ind_str]
return ind
d... | python |
from worms import *
from worms.data import poselib
from worms.vis import showme
from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor
from concurrent.futures.process import BrokenProcessPool
from time import perf_counter
import sys
import pyrosetta
def main():
pyrosetta.init('-corrections:beta_no... | python |
# -*- coding: utf-8 -*-
"""
requests-toolbelt
=================
See http://toolbelt.rtfd.org/ for documentation
:copyright: (c) 2014 by Ian Cordasco and Cory Benfield
:license: Apache v2.0, see LICENSE for more details
"""
from .adapters import SSLAdapter, SourceAddressAdapter
from .auth.guess import GuessAuth
from ... | python |
# -*- coding: utf-8 -*-
__author__ = 'Marcin Usielski, Michal Ernst'
__copyright__ = 'Copyright (C) 2018-2019, Nokia'
__email__ = 'marcin.usielski@nokia.com, michal.ernst@nokia.com'
import abc
import six
from moler.event import Event
from moler.cmd import RegexHelper
@six.add_metaclass(abc.ABCMeta)
class TextualEve... | python |
from __future__ import print_function
import argparse
from dataset import CarvanaDataset
from net import CarvanaFvbNet
import torch
import torch.nn.functional as F
from torch.utils.data import DataLoader
import torch.optim as optim
from torch.autograd import Variable
parser = argparse.ArgumentParser(description='Carva... | python |
# -*- coding: utf-8 -*-
"""This module implements regularized least square restoration methods
adapted to 3D data.
The two methods it gathers are
* **Cosine Least Square (CLS) algorith**,
* **Post-LS Cosine Least Square (Post_LS_CLS) algorithm**.
"""
import time
import numpy as np
import numpy.linalg as lin
from .... | python |
# !/usr/bin/env python
# coding:utf-8
# Author:XuPengTao
# Date: 2020/4/25
from ssd.config import cfg
from ssd.modeling.detector import build_detection_model
import os
obtain_num_parameters = lambda model: sum([param.nelement() for param in model.parameters()])
def model_size(model):#暂时不能处理最后层量化情况
backbone=model.ba... | python |
dic = {
1 : 4,
2 : 4.5,
3 : 5,
4 : 2,
5 : 1.5,
}
custos = 0
a = [int(x) for x in input().split()]
custos += dic[a[0]]
custos *= a[1]
print("Total: R$ {:0.2f}".format(custos)) | python |
import discord
from discord.ext import commands
import os
import aiohttp
import json
from random import choice
class Pictures(commands.Cog):
""" Category for getting random pictures from the internet. """
def __init__(self, client: commands.Bot) -> None:
""" Class init method. """
self.client... | python |
import emoji
import tempfile
from time import sleep
from functools import wraps
import random
import string
from typing import Callable
import telegram
import shutil
from django.conf import settings
from telegram.error import RetryAfter, NetworkError
from telegram import Bot
from app.conference.models import Slide
from... | python |
def bubble_sort(arr):
for i in range(len(arr)):
swap = False
for j in range(len(arr)-1-i):
if arr[j]>arr[j+1]:
arr[j],arr[j+1]=arr[j+1],arr[j]
swap=True
if swap==False:
break
return arr
array=[8,5,2,4,3,2]
print(bu... | python |
from rest_framework import serializers
from .UbicacionSerializer import UbicacionSerializer
from .HorarioSerializer import HorarioSerializer
from sucursal_crud_api.models import Sucursal, Ubicacion, Horario
class SucursalSerializer(serializers.ModelSerializer):
ubicacion = UbicacionSerializer()
disponibilidad ... | python |
# -*- coding: utf-8 -*-
from app.HuobiAPI import HuobiAPI
from app.authorization import api_key,api_secret
from data.runBetData import RunBetData
from app.dingding import Message
from data.calcIndex import CalcIndex
import time
binan = HuobiAPI(api_key,api_secret)
runbet = RunBetData()
msg = Message()
index = CalcInd... | python |
# Copyright 2019-present NAVER Corp.
# CC BY-NC-SA 3.0
# Available only for non-commercial use
import pdb
import torch
import torch.nn as nn
import torch.nn.functional as F
from nets.sampler import FullSampler
class CosimLoss (nn.Module):
""" Try to make the repeatability repeatable from one image to the other.... | python |
import subprocess
from os.path import join
prefix = "../split/results/"
targets = [
"mergepad_0701_2018/",
"mergepad_0701_2019/",
"mergepad_0701_2020/",
"mergepad_0701_2021/",
"mergepad_0701_2022/",
"mergepad_0701_2023/",
"mergepad_0701_2024/",
"mergepad_0701_2025/",
"mergepad_0701_2026/",
"mergepad_0701_2027/",
"merge... | python |
# parsetab.py
# This file is automatically generated. Do not edit.
_tabversion = '3.8'
_lr_method = 'LALR'
_lr_signature = '1C5696F6C19A1A5B79951B30D8139054'
_lr_action_items = {'OP_ADD':([11,],[18,]),'OP_SUB':([11,],[19,]),'LPAREN':([0,1,4,6,7,9,10,12,13,14,15,16,18,19,20,21,22,23,24,26,27,28,29,30,31,32,33,35... | python |
# SCH1001.sh --> JB_PARTNER_DETAILS.py
#**************************************************************************************************************
#
# Created by : Vinay Kumbakonam
# Modified by : bibin
# Version : 1.1
#
# Description :
#
# 1. Reads the 'Partner Summary' worksheet from partner detail... | python |
#!/usr/bin/env python2.7
from numpy import *
from pylab import *
from matplotlib import rc, rcParams
trie = genfromtxt('../data/trie_search_found.output')
tst = genfromtxt('../data/tst_search_found.output')
radix = genfromtxt('../data/radix_search_found.output')
_map = genfromtxt('../data/map_search_found.output')
u... | python |
""" ThirdParty's """
from .LSUV import LSUVinit
# minor changes to avoid warnings
del LSUV
| python |
__all__ = [
"configuration",
"persistence",
]
| python |
import argparse
import os
import pickle as pk
import torch
with open('../data/corr_networks/yearly_dict.pk', 'rb') as handle:
yearly_dict = pk.load(handle)
def parameter_parser():
"""
A method to parse up command line parameters.
"""
parser = argparse.ArgumentParser(description="Run SSSNET.")
... | python |
# Given a non-empty array of non-negative integers nums,
# the degree of this array is defined as the maximum frequency of any one of its elements.
# Your task is to find the smallest possible length of a (contiguous) subarray of nums,
# that has the same degree as nums.
import pytest
class Solution:
def findSho... | python |
# -*- coding: utf-8 -*-
# Standard Library
import re
# Cog Dependencies
from redbot.core import commands
class GuildConverterAPI(commands.Converter):
async def convert(self, ctx: commands.Context, argument: str):
guild_raw = argument
target_guild = None
if guild_raw.isnumeric():
... | python |
# Generated by Django 3.1.3 on 2020-12-05 20:07
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('type', '0003_remove_product_product_type'),
]
operations = [
migrations.RemoveField(
model_name... | python |
from datetime import datetime
import pytz
from commcare_cloud.alias import commcare_cloud
from commcare_cloud.cli_utils import ask
from commcare_cloud.colors import color_notice
from commcare_cloud.commands.deploy.sentry import update_sentry_post_deploy
from commcare_cloud.commands.deploy.utils import (
record_de... | python |
import re
import logging
logger = logging.getLogger(__name__)
def interpolate_text(template, values):
if isinstance(template, str):
# transforming template tags from
# "{tag_name}" to "{0[tag_name]}"
# as described here:
# https://stackoverflow.com/questions/7934620/python-dots-in... | python |
import os
import codecs
import logging
import json
from collections import namedtuple
from django.utils.datastructures import MultiValueDict as MultiDict
from django.conf import settings
from django.utils.http import urlencode
from django.core.urlresolvers import reverse
import datetime
from dateutil import parser
f... | python |
import math
import matplotlib.pyplot as plt
import matplotlib.colors as mplib_colors
import tensorflow as tf
import tensorflow.keras as keras
import numpy as np
import io
from . import helpers as h
#
# HELPERS
#
INPUT_BANDS=[0]
DESCRIPTION_HEAD="""
* batch_index: {}
* image_index: {}
"""
DESCRIPTION_HIST="""{}
... | python |
from __future__ import annotations
import json
import sys
from datetime import datetime
from typing import Any, List, Optional
from meilisearch.client import Client
from meilisearch.errors import MeiliSearchApiError
from rich.console import Group
from rich.panel import Panel
from rich.traceback import install
from ty... | python |
import heapq
import operator
import os
from bitstring import BitArray
import json
import pickle
import codecs
DIR_DATA = "media/"
DIR_HUFFMAN = DIR_DATA
#using to save dictionary
temp_reverse = {}
#init a seperate sympol as Node of Huffman Tree with value = frequency
class Node:
#build a class node with sympol, fr... | python |
from flask import jsonify, g
from app import db
from app.api import bp
from app.api.auth import auth_tp
@bp.route('/tokens', methods=['DELETE'])
@auth_tp.login_required
def revoke_token():
g.current_user.revoke_token()
db.session.commit()
return '', 204
| python |
from . import discord
from . import log # noqa
def main():
"""Run discurses."""
client = discord.DiscordClient()
client.run()
if __name__ == '__main__':
discurses.main()
| python |
from . import models
from . import routes
from . import db_session
from . import app
| python |
import pyPdf
import time
import urllib2
from django.conf import settings
#save file locally
def archive_file(original_url, gov_id, doc_type, file_type):
type_dir = doc_type.lower().replace(' ', '_')
file_name = "%s%s/%s.%s" % (settings.DATA_ROOT, type_dir, gov_id, file_type)
try:
remote_file = url... | python |
# -*- coding: utf-8 -*-
# @author: Optimus
# @since 2018-12-15
class Solution:
def twoSum(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: List[int]
"""
num_index_map = {}
for index, num in enumerate(nums):
if num in num_... | python |
#!/usr/bin/env python3
# coding:utf-8
import os, shutil
def fun(addr):
items = os.listdir(addr)
for each in items:
if os.path.isfile(each): # 是文件，返回 True；是目录，返回 False
item = os.path.splitext(each)[0]
name = item.split("-")[0] # 文件名分割，获取 ... | python |
"""TRAINING
Created: May 04,2019 - Yuchong Gu
Revised: May 07,2019 - Yuchong Gu
"""
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '1'
import time
import logging
import warnings
import numpy as np
import random
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
from ... | python |
import pathlib
import re
import sys
import setuptools
from setuptools.command.test import test as TestCommand
class Tox(TestCommand):
def finalize_options(self):
TestCommand.finalize_options(self)
self.test_args = []
self.test_suite = True
def run_tests(self):
import tox
... | python |
from django.db import models
from django.utils.translation import ugettext_lazy as _
from .feedback import Feedback
class SearchResultFeedback(Feedback):
"""
Database model representing feedback about search results (e.g. empty results).
"""
search_query = models.CharField(max_length=1000, verbose_n... | python |
name = "wiki_archive"
| python |
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