content stringlengths 5 1.05M |
|---|
import torch.nn as nn
# 5th Edition: VggNet-16 (up to 90.189%)
def Conv3x3BNReLU(in_channels, out_channels):
return nn.Sequential(
nn.Conv2d(in_channels, out_channels, 3, 1, 1),
nn.BatchNorm2d(out_channels),
nn.ReLU6(True)
)
class VGGNet(nn.Module):
def __init__(self): # (train... |
import sys
sys.path.append('../')
import os
from pathlib import Path
import time
import numpy as np
import scipy.optimize
import pickle
from py_diff_pd.common.common import ndarray, create_folder, rpy_to_rotation, rpy_to_rotation_gradient
from py_diff_pd.common.common import print_info, print_ok, print_error, PrettyT... |
from radix_sort import radix_sort
def test_empty_list():
"""An empty list will return unchanged"""
lst = []
expected = []
actual = radix_sort(lst)
assert actual == expected
def test_single_item_list():
"""A one-itemed list will return unchanged"""
lst = [100]
expected = [100]
a... |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm, t
from scipy.optimize import minimize
def pseudo_obs(data):
"""
take dataframe as argument and returns
Pseudo-observations from real data X
"""
pseudo_obs = data
for i in range(len(dat... |
import os
for dirname, _, filenames in os.walk('/kaggle/input'):
for filename in filenames:
print(os.path.join(dirname, filename))
def load_images_from_folder(folder):
images = []
for filename in os.listdir(folder):
img = cv2.imread(os.path.join(folder,filename))
if img is ... |
import cv2
import numpy as np
img = cv2.imread('download.jpeg')
ret, threshold = cv2.threshold(img, 12, 255, cv2.THRESH_BINARY)
im2gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
ret, threshold = cv2.threshold(im2gray, 10, 255, cv2.THRESH_BINARY)
adaptive_threshold = cv2.adaptiveThreshold(im2gray, 255, cv2.ADAPT... |
from typing import Dict, List
from MicroTokenizer import get_dict_file
from MicroTokenizer.data_structures.dictionary import DictionaryData
from MicroTokenizer.data_structures.non_recursive_algorithm import NonRecursiveAlgorithm
from MicroTokenizer.data_structures.train_dictionary import TrainDictionary
from MicroToke... |
import openpyxl
from openpyxl import load_workbook
wb = load_workbook("testFiles/basicTest.xlsx")
name_list = wb.get_sheet_names()
print(name_list)
ws = wb['Sheet1']
ws.insert_rows(2)
for i in range(1,ws.max_column):
ws.cell(row=2, column=i).value=ws.cell(row=3, column=i).value
wb.save("testFiles/basicTest_2.... |
################################################################################
"""
DJ JOE Website Playlist File Generator
--------------------------------------
(c) 2021 - Stanley Solutions - Joe Stanley
This application serves an interface to allow the recording of Apple Music or
Spotify playlists.
"""
###########... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from hivemind.server.layers.custom_experts import register_expert_class
sample_input = lambda batch_size, hidden_dim: torch.empty((batch_size, hidden_dim))
@register_expert_class('perceptron', sample_input)
class MultilayerPerceptron(nn.Module):
... |
import logging
import os
import signal
import sys
import time
from configparser import ConfigParser
import dns.resolver
import requests
SITES_CONFIG = 'config/sites.cfg'
URI_UPDATE = 'http://www.ovh.com/nic/update?system=dyndns&hostname=%(hostname)s&myip=%(ip)s'
URI_GET_IP = 'https://ifconfig.me/ip'
DNS_RESOLVERS = [... |
import AppKit
from PyObjCTools.TestSupport import TestCase, min_sdk_level
import objc
class TestNSDatePickerHelper(AppKit.NSObject):
def datePickerCell_validateProposedDateValue_timeInterval_(self, v1, v2, v3):
pass
class TestNSDatePickerCell(TestCase):
def testConstants(self):
self.assertEq... |
# Generated by Django 2.2.4 on 2019-08-11 14:41
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('alarms_project', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='alarm',
... |
"""
config.py defines default archive appliance server properties
"""
hostname = "pscaa02"
data_port = 17668
mgmt_port = 17665
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
class Queue(object):
def __init__(self):
self.items = []
def get_size(self):
return len(self.items)
def is_empty(self):
return self.items == []
def enqueue(self, item):
self.items.insert(0, item)
def dequeue(self):
... |
from Functions.Controls.Keyboard.keyboard_pressed import *
from Objects.Entity.Character.Character import *
from Class.Entity.Character.Character import Character
from intValues import *
from Functions.NFC.getUID import *
if raspberry:
from Functions.Server.client import *
def switch_heroes():
if rasp... |
# Copyright (C) 2017 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
EXTENSIONS = ['ggrc_risk_assessments']
RISK_ASSESSMENT_URL = os.environ.get('GGRC_RISK_ASSESSMENT_URL', 'http://localhost:8080')
|
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
[path]
cd /Users/brunoflaven/Documents/01_work/blog_articles/stop_starting_start_stopping/pandas_learning_basics/
[file]
python pandas_learning_basics_2.py
# source
- all to know to load pandas_dataframe_importing_csv Pandas
https://chrisalbon.com/code/python/data_wra... |
import pandas as pd
import os
#|Load data from single or multiple CSV files into internal DataFrame within "data" object
def from_csv(file_path, mode, file_search, index, sep):
if mode == 'single':
data_name = file_path[file_path.rfind('/')+1:-4]
print '-- Loading %s.csv --' % data_name
df... |
"""Head modules
"""
import numpy as np
from bpnet.utils import dict_prefix_key
from bpnet.metrics import ClassificationMetrics, RegressionMetrics
import keras.backend as K
import tensorflow as tf
import keras.layers as kl
import gin
import os
import abc
from bpnet.losses import ignoreNaNloss
class BaseHead:
# lo... |
import logging
# WARNING = 30
logging.getLogger("matplotlib").setLevel(logging.WARNING)
logging.getLogger("paramiko.transport").setLevel(logging.WARNING)
# INFO = 20
logging.getLogger("botocore").setLevel(logging.INFO)
logging.getLogger("smart_open").setLevel(logging.INFO)
logging.getLogger("urllib3").setLevel(loggin... |
from . import TransformFunction, string_to_tfarg_function, mime_type_based_transform
import htmlmth.mods.javascript
remove_comments = TransformFunction("",
"remove JavaScript comments",
mime_type_based_transform({
... |
import os
import sys
import pandas
import numpy
import argparse
import glob
import re
from collections import OrderedDict
from sklearn.preprocessing import StandardScaler
config_dict={
'xvector':9,
'pvector':32,
'OneHotvector' :2
}
speakers_dict={
'ffr0001_mmebovary':(1,1),
... |
class Solution:
"""
@param time:
@return: return a string represents time
"""
def nextTime(self, time):
timeSplit = time.split(":")
if len(time) != 5 or len(timeSplit) != 2:
return "-1"
minute = int(timeSplit[0])
second = int(timeSplit[1])
if min... |
#!/usr/bin/python3
# Copyright (c) 2018-2021 Dell Inc. or its subsidiaries.
#
# 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 requ... |
import pytest
from numpy.testing import assert_almost_equal
import astropy.units as u
from sunpy.instr import fermi
from sunpy.time import parse_time
@pytest.mark.remote_data
def test_download_weekly_pointing_file():
# set a test date
date = parse_time('2011-10-01')
afile = fermi.download_weekly_pointin... |
#!/usr/bin/env python
# coding: utf-8
# In[ ]:
import time
import serial
from cached_property import cached_property
class MHS2300:
def __init__(self, port_name="COM3"):
self.port = serial.Serial(port_name, 57600, timeout=0.1)
#Always turns on both channels
self.port.write(':01,w611,0... |
from dataclasses import dataclass
from transformers import PretrainedConfig, PreTrainedTokenizer, PreTrainedModel
from ..transformersx_base import log, join_path
from .models import task_model
from .model_config import TaskModelConfig
@dataclass
class TaskModel:
config: PretrainedConfig
tokenizer: PreTrained... |
#!/usr/bin/env python3
import json
import requests
s = requests.Session()
class NanagogoError(Exception):
def __init__(self, status_code, http_status_code, error_message):
self.status_code = status_code
self.http_status_code = http_status_code
self.error_message = error_message
class... |
import time
import board
import busio
import digitalio
import sys
from adafruit_mcp230xx.mcp23017 import MCP23017
i2c = busio.I2C(board.SCL, board.SDA)
mcp = MCP23017(i2c) # , address=0x20) # MCP23017
alarm1 = mcp.get_pin(0)
alarm2 = mcp.get_pin(1)
alarm3 = mcp.get_pin(2)
alarm1.switch_to_output(value=False)
al... |
from aiida.orm import Dict, load_node
from aiida.engine import submit
from aiida import load_profile
# import the FleurinpgenCalculation
# load ingpen Code
# create a StuctureData
structures = [Fe_structrure, Ni_structrure, Co_structrure]
# create a parameters Dict
# options
# assemble inputs in a single dic... |
from django.contrib.auth.models import User
from django.core.urlresolvers import reverse
from django.test import TestCase
import fiber.templatetags.fiber_tags
from fiber.models import ContentItem, Page
from ...test_util import RenderMixin
class TestShowContent(RenderMixin, TestCase):
def setUp(self):
se... |
import numpy as np
from skimage import data
import napari
with napari.gui_qt():
blobs = data.binary_blobs(
length=100, blob_size_fraction=0.05, n_dim=3, volume_fraction=0.03
).astype(float)
viewer = napari.view_image(blobs.astype(float), ndisplay=3)
n = 50
shape = [[[n, 40, 40], [n, 40, ... |
from config import TOKEN, DBHost, DBName, DBUser, DBPassword
class Config(object):
"""
Configuration base, for all environments
"""
DEBUG = False
TESTING = False
# We add a secret TOKEN, it is necessary for user authorization through LDAP to work
SECRET_KEY = TOKEN
CSRF_ENABLED = True... |
from django.db import models
# No related name is needed here, since symmetrical relations are not
# explicitly reversible.
class SelfRefer(models.Model):
name = models.CharField(max_length=10)
references = models.ManyToManyField('self')
related = models.ManyToManyField('self')
def __unicode__(self):
... |
# Module data
import requests
from bs4 import BeautifulSoup
import pandas as pd
from datetime import timedelta,date,datetime
import matplotlib.pyplot as plt
import seaborn as sns
import os
def wrangle(wd, cache):
print("Wrangling data ...")
print(str.format('wd={}',wd))
data_path = wd + '/data/data.csv'
... |
import torch
import numpy as np
import matplotlib.pyplot as plt
def generate_sample_data(cfg, toTensor, device):
np.random.seed(cfg['RANDOM_SEED'])
Z = np.random.normal(0, 1, [cfg['NUM_FACTORS'],cfg['NUM_SAMPLES']]) # ~ N(0,1)
L = np.random.rand(cfg['NUM_FEATURES'], cfg['NUM_FACTORS'])
S = np.abs(np.d... |
# -*- coding: utf-8 -*-
"""Tests all methods on Client"""
# Import standard library
import glob
# Import modules
import pytest
# Import from package
import linksight as ls
def test_dataset_match(mock_api, client, match_response):
"""Test if Dataset.match() returns the expected value and type"""
file = glo... |
from inspect import getsource
import heapq
import matplotlib.pyplot as plt
import networkx as nx
from matplotlib import lines
import ipywidgets as widgets
from search import GraphProblem, romania_map
from notebook import final_path_colors
def show_tree(graph_data, node_colors = None):
G = nx.Graph(graph_data['g... |
import os
import click
from biom import load_table
from deicode.rpca import rpca
from deicode._rpca_defaults import (DEFAULT_RANK, DEFAULT_MSC, DEFAULT_MFC,
DEFAULT_ITERATIONS, DESC_RANK, DESC_MSC,
DESC_MFC, DESC_ITERATIONS)
@click.command()
@cli... |
import query
import repo
from lazy_record.errors import *
from inflector import Inflector, English
inflector = Inflector(English)
models = {}
associations = {}
foreign_keys = {}
scopes = {}
def model_from_name(parent_name):
return models[inflector.classify(parent_name)]
def _verify_type_match(record, associatio... |
class MissingVariableError(Exception):
def __init__(self, name):
self.name = name
self.message = f'The required variable "{self.name}" is missing'
super().__init__(self.message)
class ReservedVariableError(Exception):
def __init__(self, name):
self.name = name
self.mess... |
#!/usr/bin/env python
"""
Test support for 'with' statements
"""
# Copyright (C) 2009 Barry Pederson <bp@barryp.org>
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.... |
# coding=utf-8
from wirecamel import CONF_DIR
import re
import subprocess
import yaml
XTERM_TITLE = 'Hostapd console'
# Load hostapd configuration
def load_config():
hostapd_options = {}
with open(CONF_DIR, 'r') as hap_file:
for line in hap_file.readlines():
elements = re.findall(r'(.*)=... |
#!/usr/bin/python3
# taken from https://github.com/AcutronicRobotics/mara_examples
import rclpy
from multiprocessing import Process
from rclpy.node import Node
from rclpy.qos import qos_profile_sensor_data
from hrim_actuator_rotaryservo_msgs.msg import GoalRotaryServo
from hrim_actuator_gripper_srvs.srv import Contro... |
#!/usr/bin/env python3
"""
Unit Tests for DynamicArray
TODO - Add doctests to source
"""
import pytest
from DynamicArray import DynamicArray
class TestDynamicArray():
@classmethod
def setup_class(cls):
cls.dynamicArray = DynamicArray()
@classmethod
def teardown_class(cls):
if cls... |
from tests.system.action.base import BaseActionTestCase
class MotionStatuteParagraphSortActionTest(BaseActionTestCase):
def test_sort_correct_1(self) -> None:
self.create_model("meeting/222", {"name": "name_SNLGsvIV"})
self.create_model(
"motion_statute_paragraph/31", {"meeting_id": 22... |
from .testing_deployment import RobotpkgTests
from .dockerfile import RobotpkgGenerateDockerFile
from .src_introspection import RobotpkgSrcIntrospection,RobotpkgPackage
from .utils import execute,execute_call,init_environment_variables
from .handling_imgs import HandlingImgs
from .package_release_candidate import Robot... |
"""
Classification-based gym environment
It is based on
https://github.com/deepmind/neural_testbed/blob/master/neural_testbed/generative/classification_envlikelihood.py
"""
import jax.numpy as jnp
import chex
from jax import jit
import haiku as hk
from gym import Env, spaces
from typing import Callable, Any
from... |
# --------------
import pandas as pd
from sklearn.model_selection import train_test_split
#path - Path of file
df=pd.read_csv(path)
# Code starts here
X=df.drop(['customerID','Churn'],1)
y=df['Churn'].copy()
X_train,X_test,y_train,y_test=train_test_split(X,y,test_size = 0.3,random_state = 0)
# --------------
impor... |
import os
import sys
class Display(object):
def __init__(self):
pass
@staticmethod
def header():
sys.stdout.write("╔═════════════╦═══════════════════════╗".center(os.get_terminal_size().columns))
sys.stdout.write("║ ║ Server Provisioning ║".center(os.get_terminal_size().columns))
s... |
import sys
import os
sys.path.append(os.getcwd() + '/src')
import unittest
import utils
class TestUtils(unittest.TestCase):
def test_createTabulaRecta(self):
tabulaRecta = utils.createTabulaRecta()
table = ''
for l in tabulaRecta:
table += ' '.join(l) + "\n"
print table... |
import sys
import numpy as np
import torch
from tqdm import tqdm
from codes.analysers.graphmask.graphmask_probe import GraphMaskProbe
from codes.analysers.information_bottleneck.information_bottleneck_probe import InformationBottleneckProbe
from codes.utils.moving_average import MovingAverage
from codes.utils.torch_u... |
import os
import typing
from json import decoder, encoder
from Mod_NeonOcean_S4_Order import Mod
from Mod_NeonOcean_S4_Order.Tools import Package
def BuildPackageChanges () -> bool:
if not Package.CanBuildPackage():
return False
for package in Mod.GetCurrentMod().Packages: # type: Mod.Package
baseFileExists =... |
from __future__ import annotations
import ast
import logging
import os
import requests
from pydantic import ValidationError
from sutta_publisher.shared.value_objects.edition_config import EditionConfig, EditionMappingList, EditionsConfigs
API_URL = os.getenv("API_URL", "")
API_ENDPOINTS = ast.literal_eval(os.getenv... |
from django.conf.urls import patterns, include, url
urlpatterns = patterns('',
url( r'^facturacion/factura/print/(?P<idFactura>[0-9]+)', 'facturacion.views.printFactura', name="printFactura"),
) |
import pytest
import payload as pl
from .fixtures import Fixtures
@pytest.fixture()
def billing_schedule(processing_account, customer_account):
billing_schedule = pl.BillingSchedule.create(
start_date="2019-01-01",
end_date="2019-12-31",
recurring_frequency="monthly",
type="subsc... |
from thebutton.genericstep import GenericStep
from datetime import datetime as dt
step_factories = {}
def step_factory(name):
def step_factory_impl(fn):
step_factories[name.lower()] = fn
return fn
return step_factory_impl
@step_factory("wait")
def wait(time):
yield GenericStep(time=tim... |
from pytorch_lightning import LightningDataModule
from torch.utils.data import DataLoader, random_split
from torchvision.datasets import STL10
from unsupervised_pretraining.data.stl10albumentations import STL10Albumentations
import albumentations as A
class STL10DataModule(LightningDataModule):
def __init__(self... |
import logging
import logging.handlers
import sys
from datetime import datetime
from essentials.folders import ensure_folder
logger = None
def get_app_logger():
global logger
if logger is not None:
return logger
logger = logging.getLogger("app")
logger.setLevel(logging.INFO)
max_byte... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# vim: ts=2 sw=2 et ai
###############################################################################
# Copyright (c) 2012,2013 Andreas Vogel andreas@wellenvogel.net
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and a... |
import logging
from abc import abstractmethod, ABCMeta
from typing import Dict, Optional, Union
from twisted.internet.defer import Deferred, fail, succeed, inlineCallbacks
from twisted.python import failure
from twisted.python.failure import Failure
from vortex.DeferUtil import vortexLogFailure
from vortex.Payload im... |
from ..base import GnuRecipe
class LibXcbRecipe(GnuRecipe):
def __init__(self, *args, **kwargs):
super(LibXcbRecipe, self).__init__(*args, **kwargs)
self.sha256 = '4adfb1b7c67e99bc9c2ccb110b2f1756' \
'86576d2f792c8a71b9c8b19014057b5b'
self.name = 'libxcb'
sel... |
import sys, numpy as np
from igakit.nurbs import NURBS
N = 10
p = 2
if len(sys.argv) >= 2:
N = int(sys.argv[1])
if len(sys.argv) >= 3:
p = int(sys.argv[2])
U = [0,0, 1,1]
V = [0,0,0, 1,1,1]
C = np.zeros((2,3,4))
val = np.sqrt(2)*0.5
C[0,0,:] = [ 0,-100, 0,1]
C[1,0,:] = [100,-100, 0,1]
C[0,1,:] = [ 0,-... |
import sys
def init():
search_str = "sgtring" # "EIN MUSTER P WIRD IN EINEM GEGEBENEN TEXT GESUCHT"
pattern = "gstring" # "KEIN"
print(f"""
+-------------------------------
| String Matcher |
+-------------------------------
Search text: {search_str}
Pattern: {pattern}
""")
# Naive... |
import pymysql
def selectUnFinishCompany():
conn = pymysql.connect(host='localhost', user='root', passwd='123', db='tianyan', port=3306, charset='utf8')
cur = conn.cursor() # 获取一个游标
sql = "select * from zb_tbcompanyinfo"
try:
cur.execute(sql)
results = cur.fetchall()
... |
class MountainRoad:
def findDistance(self, start, finish):
return 2**.5 * (max(finish) - min(start))
|
# from tellers import Tellers
from modules.schedules import *
from modules.timetable import *
# tellers = Tellers()
#seances = Seances()
# seances = Seances()
|
from attrdict import AttrDict
from ..vocab import NULL
class SlotBase(AttrDict):
REQUIRED_ARGS = [('name', str), ('is_null', bool), ('is_nullable', bool)]
def __init__(self, **kwargs):
for ra in SlotBase.REQUIRED_ARGS:
key = ra[0]
value = kwargs[key]
super(SlotBase, ... |
#!/usr/bin/python
import sys
import pandas as pd
from string import Template
def get_duplicated_rows(data_frame):
duplicated_element = data_frame.duplicated()
return data_frame[duplicated_element]
def get_duplicated_row_numbers(duplicate_row_df):
return len(duplicate_row_df.index)
if len(sys.argv) !=... |
import os
from collections import namedtuple
import sublime
from sublime_plugin import WindowCommand, TextCommand, EventListener
from ...common import util
from .navigate import GsNavigate
from ...common.theme_generator import XMLThemeGenerator, JSONThemeGenerator
from ..git_command import GitCommand
from ..constants... |
# -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community Edition) available.
Copyright (C) 2017-2018 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in co... |
def parse_transaction_as_dict(transaction):
transaction_dict = {}
return transaction |
from structure.constants import LAMBDA
import sys
from typing import List
def variable_and_alpha_review(variable_list : List, alpha_list : List, transitions_list : List, initial_variable : str):
'''
verify if there is a problem with the variables or
in the alpha for chosen language
'''
try:... |
with open('python\\2020\day5\data.txt') as f:
lines = f.readlines()
def getRowAndColumn(line):
row = 0
column = 0
#follow directions to split
first = 0
last = 127
for i in range(6):
difference = last-first
half = difference//2 + 1
if line[i] == 'B':
firs... |
# -*- coding: utf-8 -*-
"""
| '_ \ / _` |_____ / __/ _ \| '_ ` _ \| '_ \ / _` | '__/ _ \
| |_) | (_| |_____| (_| (_) | | | | | | |_) | (_| | | | __/
| .__/ \__, | \___\___/|_| |_| |_| .__/ \__,_|_| \___|
|_| |___/ |_|
This is used to compare two databases. Takes two connection string... |
from __future__ import (
absolute_import,
print_function,
unicode_literals
)
import sys
def print_stderr(message):
"""
Simply print str message to stderr
"""
print(message, file=sys.stderr)
def force_exit(message):
"""
Exit the program due to some error. Print out message to stde... |
from proxybroker.api import Broker
import requests
import asyncio
import logging
import multiprocessing
from queue import Empty
from datetime import datetime
logging.basicConfig(level=logging.INFO)
class ListMaker:
def __init__(
self, limit=40, max_resp_time=1.0, countries=None, max_list_length=1000,... |
import os
import sys
import re
import numpy as np
import math
from itertools import repeat
from indexparser import parse_index, rev_parse_index
from parse49 import parse_49
from genfchk import quicksave
VERSION = 'v4.1' # Internal version numbering
VERSIONTEXT = '''
Original version honorably delivered by Acid&Fran... |
from .base import loader
|
from net_conf import *
RULES_DECODER_STATE_SIZE = RULES_QUERY_ENCODER_STATE_SIZE * 2
WORDS_DECODER_STATE_SIZE = RULES_ENCODER_STATE_SIZE * 2
DJANGO_DATA_SET_TYPE = 'DJANGO'
HS_DATA_SET_TYPE = 'HS'
DATA_SET_TYPE = DJANGO_DATA_SET_TYPE
DATA_SET_BASE_DIR = '../django_data_set/data/'
DATA_SET_NAME = 'django_data_set_v2... |
# -*- coding: utf-8 -*-
# 版权所有 2019 深圳米筐科技有限公司（下称“米筐科技”）
#
# 除非遵守当前许可，否则不得使用本软件。
#
# * 非商业用途（非商业用途指个人出于非商业目的使用本软件，或者高校、研究所等非营利机构出于教育、科研等目的使用本软件）：
# 遵守 Apache License 2.0（下称“Apache 2.0 许可”），
# 您可以在以下位置获得 Apache 2.0 许可的副本：http://www.apache.org/licenses/LICENSE-2.0。
# 除非法律有要求或以书面形式达成协议，否则本软件分发时... |
from rest_framework import status
from rest_framework import viewsets, parsers
from rest_framework.authentication import TokenAuthentication
from rest_framework.permissions import AllowAny, IsAuthenticated
from rest_framework.response import Response
from .models import Billing
from .models import DropBox
from .serial... |
# -*- coding: utf-8 -*-
import json
from typing import Dict
from .block_hash import BlockHash
from .consensus_info import ConsensusInfo
from ..utils.encoding import encode_b58
class BlockchainStatus:
def __init__(self, status):
self._status = status
self._bbh = BlockHash(self._status.best_block_... |
from django.contrib import admin
from .models import Profile,Post,Health,Business,Police,Neighbourhood
# Register your models here.
admin.site.register(Profile)
admin.site.register(Post)
admin.site.register(Business)
admin.site.register(Health)
admin.site.register(Police)
admin.site.register(Neighbourhood)
|
from SinGAN_models import *
from options import *
from utility_functions import *
import torch.nn.functional as F
import torch
import os
import imageio
import argparse
from typing import Union, Tuple
from matplotlib.pyplot import cm
from math import log
import matplotlib.pyplot as plt
from skimage.transform.pyramids im... |
# coding=utf-8
from time import sleep
from gpio_wrapper import gpio_commands
from utils import DbSession
import pickledb
import settings
class DeviceWrongAction(Exception):
pass
class Device:
ACTION_SWITCH = 1
ACTION_PULSE = 2
def __init__(self, name, pin, action, reset_state=True):
s... |
from bot import dp
from filters import IsOwner
from functions import admin_menu
@dp.message_handler(IsOwner(), commands="admin")
async def admin(message):
await admin_menu(message) |
# Copyright 2015 Intel Corporation.
# 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 requir... |
from cyberbrain import Binding, Symbol
def test_hello(tracer, check_golden_file):
tracer.start()
x = "hello world" # LOAD_CONST, STORE_FAST
y = x # LOAD_FAST, STORE_FAST
x, y = y, x # ROT_TWO, STORE_FAST
tracer.stop()
|
__author__ = 'Robert Meyer'
import multiprocessing as mp
import numpy as np
import os # For path names working under Windows and Linux
from pypet import Environment, cartesian_product
def multiply(traj, result_list):
"""Example of a sophisticated simulation that involves multiplying two values.
This time w... |
"""Functions for dealing with SOAP in oseoserver."""
from __future__ import absolute_import
from lxml import etree
from .constants import NAMESPACES
from .errors import InvalidSoapVersionError
from .auth import usernametoken
def get_soap_version(request_element):
"""Return a request"s SOAP version
Support... |
import numpy as np
import pandas as pd
import random
import sys
import warnings
from sklearn.model_selection import train_test_split
from collections import Counter
from matplotlib import style
import matplotlib.pyplot as plt
class k_nearest_neighbors():
def __init__(self):
#print("init")
self.... |
import json
from chatapp import path_util
def load_config():
with open(path_util.get_file_path('server', 'server_config.json'), 'r') as server_config_json:
server_config = json.load(server_config_json)
return server_config
|
"""A functions module, includes all the standard functions.
Combinatorial - factorial, fibonacci, harmonic, bernoulli...
Elementary - hyperbolic, trigonometric, exponential, floor and ceiling, sqrt...
Special - gamma, zeta,spherical harmonics...
"""
from sympy.core.basic import Basic
import combinatorial
import eleme... |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
from deprecation import deprecated as Deprecated
@Deprecated(deprecated_in="0.0.3", details="Interactive mode is to be removed in 0.0.4", removed_in="0.0.4")
def getNum(prompt, valType):
"""
Function to obtain valid inputs from keyboard
:param prompt: Text ... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import io
import logging
import numpy as np
from typing import List
import onnx
import torch
from caffe2.python.onnx.backend import Caffe2Backend
from torch.onnx import OperatorExportTypes
from .shared import (
ScopedWS,
constr... |
"""
Woopra template tags and filters.
"""
from __future__ import absolute_import
import json
import re
from django.conf import settings
from django.template import Library, Node, TemplateSyntaxError
from analytical.utils import (
disable_html,
get_identity,
get_required_setting,
get_user_from_contex... |
import aiohttp_jinja2
from aiohttp.web import Request
from roll_witch.rolling import command
@aiohttp_jinja2.template("roller.jinja2")
async def roll(request: Request):
data = await request.post()
try:
bot_operation = command.get_command(
message_content=data["roll_operation"]
)
... |
#!/usr/bin/python3
#Importing all needed libraries / modules
import os
import sys
import time
from time import sleep, strftime
import cv2
import mysql.connector
#Class for database connection and manipulation
class DB_Connection:
def __init__(self):
try:
self.db = mysql.connector.connect(
... |
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