content stringlengths 5 1.05M |
|---|
from django.contrib.auth.models import BaseUserManager
class AccountManager(BaseUserManager):
"""
Custom user model manager where email is the unique identifiers
for authentication instead of usernames.
"""
def create_user(self, email, password, **extra_fields):
"""
Create and save... |
#! python3
# tests.py
import json
import os
import unittest
import selenium
from selenium import webdriver
from selenium.webdriver.firefox.options import Options
class TestClassFanGraphs(unittest.TestCase):
def test_files_exist(self):
directories = {
'leaders': [
'menu.txt', ... |
# -*- coding: utf-8 -*-
"""Tests for `statemachine` processors."""
import os
import cv2
from gabrieltool.statemachine import processor_zoo
def drawPred(frame, class_name, conf, left, top, right, bottom):
# Draw a bounding box.
cv2.rectangle(frame, (left, top), (right, bottom), (0, 255, 0))
label = '%... |
import traceback
from flask import Flask, request, jsonify
from simulator import config, utils
from simulator.exchange import Poloniex
from simulator.order_handler import CoreOrder, SimulationOrder
from simulator.balance_handler import BalanceHandler
api = Flask(__name__)
logger = utils.get_logger()
@api.route('/... |
# Copyright 2012 OpenStack Foundation
# 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 requ... |
# Generated by Django 2.2.8 on 2020-06-21 19:30
import datetime
from django.db import migrations, models
from django.utils.timezone import utc
class Migration(migrations.Migration):
dependencies = [
('donations', '0016_auto_20200621_1609'),
]
operations = [
migrations.AddField(
... |
# Generated by Django 2.0.3 on 2018-03-21 18:59
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('patientbasicinfo', '0012_auto_20180321_1827'),
]
operations = [
migrations.AddField(
model_name='identity',
name='em... |
def calculate_amstrong_numbers_3_digits():
result = []
for item in range(100, 1000):
sum = 0
for number in str(item):
sum += int(number) ** 3
if sum == item:
result.append(item)
return result
print("3-digit Amstrong Numbers:")
print(calculate_amstrong_numb... |
#N 個の街と N−1 本の道路なのでループはない。木構造
#根への距離をそれぞれ求めて、和が2で割り切れるかで判断できそう
from collections import defaultdict
from collections import deque
N, Q = map(int, input().split())
connect_nodes = defaultdict(set)
for i in range(N - 1):
a, b = map(int, input().split())
connect_nodes[a].add(b)
connect_nodes[b].add(a)
dist... |
# coding: utf-8
# # Permute Hetnets for Interpreting Compressed Latent Spaces
#
# Modified from @dhimmel - https://github.com/dhimmel/integrate/blob/master/permute.ipynb
#
# Generate several randomly permuted hetnets to serve as a null distribution. The permutations preserve node degree but randomizes connections b... |
#!/usr/bin/env python3
# Converts PLINK covariate and fam file into a covariate file for Gemma
import sys
import pandas as pd
import argparse
import numpy as np
def readbed(filebed, wind):
readbed=open(filebed)
dicpos={}
dicrange={}
for line in readbed:
spll=line.replace('\n','').split()
if spll[0] ... |
class ResizingArrayStack(object):
"""
"""
def __init__(self):
self.n = 0
self.capacity = 2
self.resizing_array = [None] * self.capacity
def __len__(self):
return self.n
def __contains__(self, i):
"""
>>> stack = ResizingArrayStack()
>>> stac... |
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 1 16:54:46 2021
@author: vanch
"""
import argparse
import FileToDataFrame as ftd
import matplotlib.pyplot as plt
def getTopMsgs(people_name, data_frame):
top_list = []
col_map = plt.get_cmap('Paired')
for name in people_name:
tmp_df_by_name = data... |
#
# PySNMP MIB module IF-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///usr/share/snmp/mibs/ietf/IF-MIB
# Produced by pysmi-0.3.2 at Tue Apr 7 17:35:33 2020
# On host sensei platform Linux version 4.19.97-v7l+ by user nagios
# Using Python version 3.7.3 (default, Dec 20 2019, 18:57:59)
#
OctetString, Integer,... |
from collections import OrderedDict
from pathlib import Path
from tempfile import NamedTemporaryFile
from typing import Dict, List, Tuple
import pytest
from datamodel_code_generator import DataTypeManager
from datamodel_code_generator.model import DataModel, DataModelFieldBase
from datamodel_code_generator.model.pyda... |
import collections
import io
import os
import typing
import torch
import numpy as np
from .operators import CommonGraph, ExtendedOperator, GraphOptimizer, HybridQuantizer
from .operators.op_version import OPVersioner
from .operators.tflite import Tensor
from .operators.torch import OPERATOR_CONVERTER_DICT
from .opera... |
# Copyright (c) 2013, erpcloud.systems and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe import _
def execute(filters=None):
columns, data = [], []
columns=get_columns()
data=get_data(filters,columns)
return columns, data
def get_... |
from middleware.db import repository
from middleware.connection.conn import session
from middleware.db.tables import PokemonMoveAvailability
from pokedex.db.tables import VersionGroup
red_blue_vg = session.query(VersionGroup).filter(VersionGroup.identifier == 'red-blue').one()
yellow_vg = session.query(VersionGroup).f... |
# Copyright (C) 2014 Universidad Politecnica de Madrid
#
# 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 la... |
"""
NFS exports configuration
=========================
NFSExports and NFSExportsD provide a parsed output of the content of an exports
file as defined in ``man exports(5)``. The content is parsed into a
dictionary, where the key is the export path and the value is another
dictionary, where the key is the hostname an... |
from __future__ import unicode_literals, print_function
from jinja2 import FileSystemLoader, StrictUndefined
from jinja2.environment import Environment
env = Environment(undefined=StrictUndefined)
env.loader = FileSystemLoader(".")
vrf_list [
{"vrf_name": "blue1", "ipv4_enabled": True, "ipv6_enabled": True,"red": ... |
__author__ = 'mattjmorris'
from .dynamo import Dynamo
from boto.dynamodb2.table import Table
from datetime import datetime, date, timedelta
from pandas import DataFrame
import re
DAY_STR_FORMAT = "%Y-%m-%d"
DAY_STR_RE = re.compile(r'^(\d{4})-(\d{2})-(\d{2})$')
SECOND_STR_FORMAT = "%Y-%m-%d %H:%M:%S"
SECOND_STR_RE = ... |
# -*- coding: utf-8 -*-
from .aliases import *
from .helper import Helper
from ..consts.lessons import LESSON_ID_MAX_LENGTH, LESSON_TITLE_MAX_LENGTH, LESSON_BODY_MAX_LENGTH, LESSON_DESC_MAX_LENGTH
from .topics import Topics
from wcics.utils.time import get_time
class lessons(dbmodel, Helper):
id = dbcol(dbint, pri... |
# coding: utf-8
"""
=====================================
Feature Extraction for Classification
=====================================
Extract acoustic features from labeled data for
training an environment or speech classifier.
To see how soundpy implements this, see `soundpy.builtin.envclassifier_feats`.
"""
####... |
import os.path
import sys
import pytest
from shapely.geometry import LineString
from shapely.geometry import Point
import conftest
sys.path.append(os.path.join(os.path.dirname(__file__), '.'))
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
from interpoint import models
class TestPtOnEdge:
def ... |
#! /usr/bin/python
import time
from datetime import datetime
import serial
from xbee import XBee, ZigBee
PORT = '/dev/ttyUSB0'
BAUD_RATE = 9600
# Open serial port and enable flow control
ser = serial.Serial(PORT, BAUD_RATE, bytesize=8, parity='N', stopbits=1, timeout=None, xonxoff=1, rtscts=1, dsrdtr=1)
# Create A... |
# Generated by Django 3.0.8 on 2020-08-08 15:07
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django_countries.fields
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
... |
from math import cos, pi
from typing import Callable, List
from src.common.model.line_segment import LineSegment
from src.common.model.numerical_integrator import NumericalIntegrator
def get_mohler_roots(n: int) -> List[float]:
return [cos((2 * k - 1) / (2 * n) * pi) for k in range(1, n + 1)]
def get_mohler_co... |
# Citcuit pseudocode
# Data structures
struct op:
# operation data
tx_type: # type of transaction, see the list: https://docs.google.com/spreadsheets/d/1ejK1MJfVehcwjgjVDFD3E2k1EZ7auqbG_y0DKidS9nA/edit#gid=0
chunk: # op chunk number (0..3)
pubdata_chunk: # current chu... |
#!/bin/env python3
"ngugen -- generate nginx.unit config files, safely and sanely via a tiny DSL;"
if True:
from collections import OrderedDict # To make things look 'right';
import json
import os
import re
__author__ = "mr.wooK@gmail.com"
__license__ = "MIT License"
__copyright__ =... |
import datetime
import json
import os
import typing
import gpxpy # type: ignore
import pint # type: ignore
import s2sphere # type: ignore
import polyline # type: ignore
from stravaviz.exceptions import TrackLoadError
from stravaviz.units import Units
class Track:
"""Create and maintain info about a given ac... |
import click
import pkgutil
import os
import os.path as osp
from . import (
CONFIG_DIR,
)
@click.command()
@click.option("--config", default=None, type=click.Path(exists=True))
def cli(config):
# make the bimker configuration dir
os.makedirs(CONFIG_DIR)
## Generate or link to the config file
c... |
# optimizer
optimizer = dict(type='AdamW', lr=1e-4, betas=(0.95, 0.99), weight_decay=0.01,)
# learning policy
lr_config = dict(
policy='CosineAnnealing',
warmup='linear',
warmup_iters=1600 * 8,
warmup_ratio=1.0 / 100,
min_lr_ratio=1e-8,
by_epoch=False) # test add by_epoch false
optimizer_config ... |
bl_info = {"name": "Icicle Generator",
"author": "Eoin Brennan (Mayeoin Bread)",
"version": (2, 1),
"blender": (2, 7, 4),
"location": "View3D > Add > Mesh",
"description": "Adds a linear string of icicles of different sizes",
"warning": "",
"w... |
# ~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~
# MIT License
#
# Copyright (c) 2021 Nathan Juraj Michlo
#
# 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 Softwar... |
# -*- coding:utf-8 -*-
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "Lic... |
# https://opensource.com/article/18/6/tornado-framework
# https://stackoverflow.com/questions/6131915/web-sockets-tornado-notify-client-on-database-update
# __init__.py
from tornado.httpserver import HTTPServer
from tornado.ioloop import IOLoop
from tornado.options import define, options
from tornado.web import Applic... |
from os import path
import subprocess
from venv import EnvBuilder
projects_dir = path.join(path.abspath(path.dirname(__name__)), 'projects')
class PipEnv:
def __init__(self, name, libs):
self.env = EnvBuilder(clear=True, with_pip=True)
if not path.isdir(f"{projects_dir}/{name}"):
self.... |
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 28 19:30:32 2021
"""
GREETING = {
'en' : '''Hi! Im Clockwork Fox
I\'m here to greet every new member of your groups, also I can help you with some events you may want to do with friends.
If you want to know how to do some you can use some /help
''',
'es' : ''... |
from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
import lmfit
import scipy.stats
import scipy.optimize
minimize = lmfit.minimize
from fitter import Fitter
# To use different defaults, change these three import statements.
from kid_readout.analysis.khalil import delayed_generic_s21 a... |
import tweepy
from keys import consumer_key, consumer_secret, access_token, access_secret
from scrape import auth, api, get_tweets
from create import markov, dict_maker
auth.set_access_token(access_token, access_secret)
#Dictionaries for specific accounts are created here
playstation = dict_maker("PlayStation")
lil_... |
import logging
from typing import Optional
from homeassistant.components.sensor import STATE_CLASS_MEASUREMENT
from homeassistant.const import (
DEVICE_CLASS_ENERGY,
DEVICE_CLASS_POWER,
DEVICE_CLASS_TEMPERATURE,
DEVICE_CLASS_BATTERY,
DEVICE_CLASS_POWER_FACTOR,
DEVICE_CLASS_TIMESTAMP,
TEMP_C... |
import pytest
import sdk_cmd
import sdk_install
import sdk_hosts
import sdk_plan
import sdk_utils
import retrying
from security import transport_encryption
from tests import config
DEFAULT_JOURNAL_NODE_TLS_PORT = 8481
DEFAULT_NAME_NODE_TLS_PORT = 9003
DEFAULT_DATA_NODE_TLS_PORT = 9006
@pytest.fixture(scope='modu... |
import numpy as np
import pandas as pd
import os
import argparse
from utils.data_utils import *
from tqdm import tqdm
import itertools
if __name__ == "__main__":
"""
Generate dataframe where each row represents patient admission
"""
parser = argparse.ArgumentParser(description="Process Mimic-iii CSV ... |
import sys
import paho.mqtt.subscribe as subscribe
broker = sys.argv[1]
topic = sys.argv[2]
def callback(client, userdata, message):
print("message received ", str(message.payload.decode("utf-8")))
try:
subscribe.callback(callback, topic,
hostname=broker).loop_forever()
except Keybo... |
import numpy as np
import pandas as pd
import cv2
import tensorflow as tf
from tensorflow.keras.preprocessing.image import ImageDataGenerator
class DataLoader:
def __init__ (self, train_dataframe, validation_dataframe, image_dir):
self.train_dataframe =train_dataframe
self.validation_dataframe = v... |
import re
import nltk
from nltk.stem.porter import PorterStemmer
def data_cleaning(text):
# Remove symbols and punctuations & apply lower() to string
formatted_text = re.sub(r"[^\w\s]", " ", text).lower()
# Remove stopwords
stopwords = set(nltk.corpus.stopwords.words('english'))
words = [i for i i... |
import traceback
from io import BytesIO
from PIL import Image
from ocr import ocr
import numpy as np
import json
import os
def validBegin(s):
return s.startswith("62") or s.startswith("60") or s.startswith("34") or s.startswith("35") or s.startswith("37") or s.startswith("51") or s.startswith("52") or s.startswith... |
PHASES = ["build", "test"]
CUDA_VERSIONS = [
None, # cpu build
"92",
"101",
"102",
]
STANDARD_PYTHON_VERSIONS = [
"3.6",
"3.7",
"3.8"
]
|
from dataclasses import dataclass
from bindings.gmd.dq_conceptual_consistency_type import DqConceptualConsistencyType
__NAMESPACE__ = "http://www.isotc211.org/2005/gmd"
@dataclass
class DqConceptualConsistency(DqConceptualConsistencyType):
class Meta:
name = "DQ_ConceptualConsistency"
namespace =... |
#!/usr/bin/env python
"""Geoname Annotator"""
from __future__ import absolute_import
import math
import re
import sqlite3
from collections import defaultdict
from .annotator import Annotator, AnnoTier, AnnoSpan
from .ngram_annotator import NgramAnnotator
from .ne_annotator import NEAnnotator
from geopy.distance import... |
"""Processing profile in admin site page
"""
from django.contrib import admin
from .models import Profile
admin.site.register(Profile)
|
# -*- coding: utf-8 -*-
from model.contact import Contact
def test_add_new_contact(app):
app.contact.add_new_contact(Contact(first_name="Fname", middle_name="Mname", last_name="Lname", nickname="Nickname", title="Test_title", company="Test_company", address="Test_address", tel_home="123456", tel_mobile="11223... |
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from .forms import UserChangeForms, UserCreationForms
from .models import User
# Register your models here.
@admin.register(User)
class UserAdmin(UserAdmin): # type: ignore
form = UserChangeForms
add_form = UserCreationForms
... |
from __future__ import division
from typing import List, Optional
import numpy as np
import matplotlib.pyplot as plt
import random
import cv2
from PIL import Image, ImageDraw, ImageFont
import pickle
from pathlib import Path
import scipy.signal as ssig
import scipy.stats as sstat
import math
def sample_weighted(p_dic... |
# coding: utf-8
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
"""
Classes for reading/manipulating/writing QChem input files.
"""
import logging
import sys
from typing import Union, Dict, List, Optional, Tuple
from monty.io import zopen
from monty.json import MSONable
f... |
'''
Atakan Ayaşlı 170401066
'''
import socket
import time
import os
import sys
def Dosya_listele():
msg = "LİSTE Komutu doğru"
msgEn = msg.encode('utf-8')
s.sendto(msgEn, clientAddr)
F = os.listdir(
path="C:\Users\Atakan\Desktop\170401066\server")
""" lütfen server.py dosyas... |
import torch
import numpy as np
import streamlit as st
from encode import encode_long_text, decode_long_text,colorize
import difflib
@st.cache(ignore_hash=True)
def load_models():
en2fr = torch.hub.load('pytorch/fairseq', 'transformer.wmt19.en-de.single_model', tokenizer='moses', bpe='fastbpe')
fr2en = torch.hu... |
from biicode.common.edition.hive_manager import HiveManager
from biicode.client.exception import ConnectionErrorException, ClientException, NotInAHiveException
from biicode.client.checkout.snapshotbuilder import compute_files, compute_deps_files
from biicode.common.exception import BiiException
from biicode.client.comm... |
from django.conf.urls import url
from . import views
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
url('^$', views.index, name='home'),
url(r'^search/', views.search_results, name='search_results'),
url(r'^singleimage/(\d+)', views.single_photo, name='singleIma... |
"""
import csv
import os
class GenericCar:
def __init__(self, car_type, brand, photo_file_name, carrying):
self.car_type = car_type
self.brand = brand
self.photo_file_name = photo_file_name
self.carrying = float(carrying)
def get_photo_file_ext(self):
_, file_extension ... |
import os
from builtins import str
from builtins import object
from builtins import range
from retriever.lib.models import Engine
from retriever import DATA_DIR, open_fr, open_fw
from retriever.lib.tools import xml2csv, sort_csv
class DummyConnection(object):
def cursor(self):
pass
def commit(self)... |
"""A data structure for a set of coronal hole tracking (CHT) algorithm.
Module purposes: (1) used as a holder for a window of frames and (2) matches coronal holes between frames.
Last Modified: July 21st, 2021 (Opal).
"""
import json
import numpy as np
import datetime as dt
import pickle
from chmap.coronal_holes.trac... |
# Copyright (c) 2021 Sebastian Pipping <sebastian@pipping.org>
# Licensed under the MIT license
import base64
import hashlib
import os
import tempfile
from argparse import ArgumentParser
import requests
def download_url_to_file(url):
response = requests.get(url, allow_redirects=True)
with tempfile.NamedTemp... |
from django import forms
from django.forms.fields import DateField
from .models import Exam, Question, AnsweredQuestion, Recommendation
BIRTH_YEAR_CHOICES = range(1940, 2019)
class TakeExamForm(forms.ModelForm):
birthdate = forms.DateField(
widget=forms.SelectDateWidget(years=BIRTH_YEAR_CHOICES, empty_l... |
EMOTIONS = {
0:"anger",
1:"disgust",
2:"fear",
3:"happy",
4:"sad",
5:"surprise",
6:"neutral"
}
EMOTION2INTEGER = {
"anger":0,
"disgust":1,
"fear":2,
"happy":3,
"sad":4,
"surprise":5,
"neutral":6
} |
""" Contains the Parameter class.
Copyright (c) 2014 Kenn Takara
See LICENSE for details
"""
from sympy import Symbol
from pysolve import InvalidNameError
from pysolve.variable import Variable
class Parameter(Symbol):
""" This class contains a 'parameter'. This is an exogenous
variable. The ... |
# Copyright 2016-2019 Douglas G. Moore. All rights reserved.
# Use of this source code is governed by a MIT
# license that can be found in the LICENSE file.
"""
All of the currently implemented time series measures are only defined on
discretely-valued time series. However, in practice continuously-valued time
series a... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.8 on 2016-08-07 19:02
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('skaba', '0005_event_date'),
]
operations = [
migrations.RemoveField(
... |
import hashlib
import json
import time
from tools import logger as log
from tools import auction_house_data_logger as ah_log
import strategies
from strategies import support_functions
def auctionh_get_prices(**kwargs):
"""
A strategy to get prices from the auction house.
:param kwargs: strategy, listen... |
# -*- coding: utf-8 -*-
"""
Allow us to use lib as a package
""" |
# this script needs either the ViennaRNA python bindings or the RNAfold binary to be
# available to predict RNA secondary structures
def measure_rbp(entry):
import os
from time import time
from pysster import utils
output_folder = entry[4] + "_pysster/"
if not os.path.isdir(output_folde... |
from PIL import Image
def resize(file_path="./.tmp/bg.jpg", size=(128, 128)):
try:
outfile = "./.tmp/bg_{}x{}.jpg".format(size[0], size[1])
im = Image.open(file_path)
im.thumbnail(size, Image.ANTIALIAS)
im.save(outfile, "JPEG")
return outfile
except Exception:
... |
'''
Authors: Alex Wong <alexw@cs.ucla.edu>, Safa Cicek <safacicek@ucla.edu>
If this code is useful to you, please cite the following paper:
A. Wong, S. Cicek, and S. Soatto. Learning topology from synthetic data for unsupervised depth completion.
In the Robotics and Automation Letters (RA-L) 2021 and Proceedings of In... |
# coding: utf-8
import numpy as np
import pandas as pd
##################################################
# メイン
##################################################
if __name__ == '__main__':
df = pd.DataFrame( {
"id": range(1,7),
"raw_grade": ['a', 'b', 'b', 'a', 'a', 'e'],
"categoric... |
#!/usr/bin/env python
"""Splunk App for Pagerduty."""
__author__ = 'Greg Albrecht <gba@onbeep.com>'
__copyright__ = 'Copyright 2014 OnBeep, Inc.'
__license__ = 'Apache License, Version 2.0'
from .pagerduty import (PagerDutyException, PagerDuty, extract_events, # NOQA
trigger_pagerduty, get_pagerduty_api_key)
|
from . import data_access_layer as DAL
import web
from web import Appication,NestableBlueprint,jsonify
# from flask.views import MethodView,View
import json
from web.restful import Resource
class UserAPI(Resource):
Model=DAL.User
def create_app():
app=Appication(__name__)
app=UserAPI.register_api(app,en... |
# -*- coding: utf-8 -*-
#
# GIS Unit Tests
#
# To run this script use:
# python web2py.py -S eden -M -R applications/eden/modules/unit_tests/s3/s3gis.py
import unittest
import datetime
from gluon import *
from gluon.storage import Storage
from s3 import *
from unit_tests import run_suite
# ==========================... |
class LibtoolPackage (GnuPackage):
def __init__(self):
GnuPackage.__init__(self, 'libtool', '2.4.2', override_properties={
'build_dependency': False})
def install(self):
Package.install(self)
self.sh('rm -f "%{staged_prefix}/bin/glibtool"')
self.sh('... |
#!/usr/bin/env python
'''
TACO: Multi-sample transcriptome assembly from RNA-Seq
Utility script that profiles the splice junctions in a BED file
Requirements: pysam library
'''
import os
import sys
import argparse
import logging
import operator
from collections import Counter
from taco.lib.base import Strand
from ta... |
import os
from pathlib import Path
from h2o import h2o
from ..models.AIModel import AIModel
class RequestModel:
x_names = []
x_values = []
def __init__(self, x_values, x_names):
self.x_values = x_values
self.x_names = x_names
def get_frame(self):
return h2o.H2OFrame(dict(zi... |
from django.conf.urls import url, include
from rest_framework_nested import routers
from auv.urls import router
from .views import TripViewSet, WayPointViewSet
auv_router = routers.NestedSimpleRouter(router, r'auvs', lookup='auv')
# api/auvs/{auv_pk}/trips
auv_router.register(r'trips', TripViewSet, base_name='trips')... |
from unittest import TestCase
from scipy.io import wavfile
import torch
import torch.autograd
from torch.nn import ConstantPad2d
import torch.nn.functional as F
from torch.autograd import Variable, gradcheck
from wavenet_training import DilatedQueue, custom_padding
from pathlib import Path
class Test_dilated_queue(T... |
import numpy
import torch
import torch.nn.functional as F
from torch_rl.algos.base import BaseAlgo
class PPOAlgo(BaseAlgo):
"""The class for the Proximal Policy Optimization algorithm
([Schulman et al., 2015](https://arxiv.org/abs/1707.06347))."""
def __init__(self, envs, acmodel, num_frames_per_proc=Non... |
dist = input("Enter the distance travelled by youto and fro in kms : ")
f_avg = input("Enter the fuel average in your area [km/litre]: ")
cost_of_diesel = input("Enter the cost of diesel [int INR]: ")
f_cons = float(dist) / float(f_avg)
cost = float(f_cons) * float(cost_of_diesel)
print("The cost of travel is : ... |
import os
import sys
os.environ['DJANGO_SETTINGS_MODULE'] = 'tests.settings'
from tests import settings
settings.INSTALLED_APPS = (
'django.contrib.auth',
'django.contrib.sessions',
'django.contrib.contenttypes',
'django.contrib.admin',
'django.contrib.sites',
'paloma',
)
def run_tests(sett... |
from core.terraform.resources.aws.load_balancer import LoadBalancerResource
from resources.vpc.security_group import InfraSecurityGroupResource
from core.config import Settings
class ApplicationLoadBalancer(LoadBalancerResource):
name = ""
internal = True
load_balancer_type = "application"
security_gr... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
__all__ = ["db"]
from flask.ext.sqlalchemy import SQLAlchemy
db = SQLAlchemy()
|
# Step with a savebutton for saving a specified datacollect param
# with the perform_save() method
#
# Works only in datacollect mode. Must be late enough
# in the checklist that checklist filename has already been determined
import os
import sys
import posixpath
try:
# py2.x
from urllib import pathname2url... |
import requests
import json
import sys
import time
from api import *
blockTime = get_block_time()
difficulty = get_difficulty()
usd_price = get_usd_price()
data = {
'blockTime': blockTime,
'difficulty': difficulty,
'priceUsd': usd_price,
'lastUpdate': time.time(),
}
file(sys.argv[1], 'w').write('ethe... |
import tensorflow as tf
from tensorflow.keras.layers import Dense, Conv2D, BatchNormalization, MaxPool2D
from tensorflow.keras import Model
class CNN(object):
def __init__(self, height, width, channel, num_class, leaning_rate=1e-3, ckpt_dir='./Checkpoint'):
print("\nInitializing Neural Network...")
... |
import cv2
import numpy as np
import glob
import os
import argparse
parser = argparse.ArgumentParser(description='prepare captures for annotation')
parser.add_argument('--input_folder', help='the input folder', required=True)
parser.add_argument('--video_name', help='the top view video name ... e.g. view2-color.mp4', ... |
import fxpt_experiments as fe
num_procs = 10
test_data_ids = [
"big1024_base",
"big512_base",
"big256_base",
"full_base",
]
for test_data_id in test_data_ids:
_ = fe.run_TvB_stability_experiments(test_data_id,num_procs)
|
"""
Load the Kepler light curve from FITS files. Also do a bit of preprocessing.
"""
import inputs as inp
def loadlc(files, usepdc=False, **kwargs):
"""
Load Kepler light curves.
Parameters
----------
files : list of strings
The locations of the light curves to load together.
usepdc :... |
def test_movie_goofs(ia):
movie = ia.get_movie('0133093', info=['goofs'])
goofs = movie.get('goofs', [])
assert len(goofs) > 120
|
import numpy as np
from scipy import misc
import matplotlib.pyplot as plt
face = misc.face(gray=True)
plt.imshow(face, cmap=plt.cm.gray)
plt.savefig('face0.png')
plt.clf()
bwimage = np.zeros_like(face)
bwimage[face > 128] = 255
plt.imshow(bwimage, cmap=plt.cm.gray)
plt.savefig('face1.png')
plt.clf()
framedface = np... |
"""Added start, enddate to digitize group
Revision ID: 4f17336641b9
Revises: 4237cb2ca161
Create Date: 2016-10-18 16:16:56.159752
"""
# revision identifiers, used by Alembic.
revision = '4f17336641b9'
down_revision = '4237cb2ca161'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as s... |
import teams as t
import org as o
import employee as emp
from empstore import employees
from empstore import teams
from empstore import org
while True:
print("Press 1 for add employee")
print("Press 2 for delete employee ")
print("Press 3 for search employee")
print("Press 4 for display employee")
print("Press 5 ... |
#Felipe Lima
#Linguagem: Python
#Exercício 06 do site: https://wiki.python.org.br/EstruturaSequencial
#Importa biblioteca
import math
#Entra com o raio
raio = float(input("Qual o raio do círculo: "))
#Calcula a área
area = math.pi*raio
#Imprime o resultado
print("A área do círculo, para o raio digitado, é: {:.2f}."... |
#--------------------------------------------------------------------------------------------
# Simplistic implementation of the Sinkhorn divergences, with a vanilla PyTorch backend
#--------------------------------------------------------------------------------------------
import numpy as np
import torch
#######... |
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