content stringlengths 5 1.05M |
|---|
class Solution:
def twoSum(self, numbers: List[int], target: int) -> List[int]:
# Method 1: hash table: time O(n) space O(n)
cache = {} # key of the number which the idx is finding, value is the idx
for i, num in enumerate(numbers):
if num in cache:
return [cache[... |
import random
def log_normal_value(sigma, mean):
"""
Log normal distribution is an approximation on the 50th percentile
:param sigma: The larger the value, the longer the tail
:param mean: The 50th percentile of latencies
:return: the log normal value
"""
return float(round(random.gauss(me... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from os import path
import os
class ConvLBP(nn.Conv3d):
"""
A 3D convolution layer with fixed binary weights
source: https://github.com/dizcza/lbcnn.pytorch/
"""
def __init__(self, in_channels, out_channels, kernel_size=3, sparsit... |
import logging
from django.utils.translation import gettext_lazy as _
from rest_framework import status
from rest_framework import viewsets
from rest_framework.exceptions import NotFound
from rest_framework.pagination import LimitOffsetPagination
from rest_framework.response import Response
from service import consta... |
import os
import json
from .convert_dataset import convert_dataset
def convert_maestro(input_path, output_path):
info_filename = os.path.join(input_path, "maestro-v1.0.0.json")
with open(info_filename) as file:
info = json.load(file)
for split in ["train", "validation", "test"]:
names = ... |
file = open('Street_Centrelines.csv')
def tupls():
for line in file:
line = line.split(',')
output1 = (line[2],line[3],line[6],line[7])
print("tuple of STR_NAME,FULL_NAME,FROM_STR,TO_STR is:",output1)
#tupls()
def dictionary():
for line in file:
line = line.split(',')
output2 = zip(line[12],line[0])
pr... |
import os
import pandas as pd
from torchvision.datasets import ImageFolder
class Imagenette(ImageFolder):
def __init__(self, root, subset='train', csv="noisy_imagenette.csv", **kwargs):
data_path = os.path.join(root, subset)
super().__init__(data_path, **kwargs)
csv_path = os.path.join(ro... |
from logging import info
import cv2
import numpy as np
import matplotlib.pyplot as plt
from .TabDetectDewarp import detect_bbox, get_dewarped_table
def detect_line(im):
'''
Args:
im (np.array): input image
Returns:
dict:
{
'address_line_1': [left,top,ri... |
# -*- coding: utf-8 -*-
from south.db import db
from south.v2 import SchemaMigration
class Migration(SchemaMigration):
def forwards(self, orm):
if not db.dry_run:
db.rename_column('key_value', 'system_id', 'obj_id')
def backwards(self, orm):
if not db.dry_run:
db.rena... |
import numpy as np
def load_csv_test_data(filename):
with open(filename, 'r') as input_file:
return [[item for item in line.strip().split(',')]
for line in input_file]
def load_csv_data(filename:str) -> np.ndarray:
if not filename.endswith('.csv'):
filename += '.csv'
with... |
## @file
## `metaL`: homoiconic interpreter engine
## (c) Dmitry Ponyatov <<dponyatov@gmail.com>> 2020 MIT
## * homoiconic interpreter engine
## * in-memory object graph database
## * interactive programming system
from .core import *
from .geo import *
from .gui import *
from .web import *
|
"""Machine Learning Detection metrics for single table datasets."""
from sdmetrics.single_table.detection.sklearn import LogisticDetection, SVCDetection
__all__ = [
'LogisticDetection',
'SVCDetection'
]
|
# Run with nosetests tests/test_cppcheck.py:test_cppcheck
from debile.slave.runners.cppcheck import cppcheck, version
from debile.slave.wrappers.cppcheck import parse_cppcheck
from firehose.model import (Analysis, Generator, Metadata)
import lxml.etree
import unittest
import mock
class CppcheckTestCase(unittest.Test... |
from .ipn_hand import IPN
from .temporal_transform import *
from .target_transform import *
from .utils import get_dataset_root
INPUT_MEAN = (0.485, 0.456, 0.406)
INPUT_STD = (0.229, 0.224, 0.225)
IPN_HAND_ROOT = get_dataset_root() |
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: user_config.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _r... |
# -*- coding: utf-8 -*-
import time
from odoo import api, models, _
from odoo.exceptions import UserError
class ReportGeneralLedger(models.AbstractModel):
_name = 'report.accounting_pdf_reports.report_generalledger'
def _get_account_move_entry(self, accounts, init_balance, sortby, display_account):
... |
import os
import logging
from keras.layers import Dense, Input, MaxPooling2D
from keras.layers import Conv2D, Flatten, Lambda, Dropout
from keras.layers import Reshape, Conv2DTranspose
from keras.models import Model
from keras.losses import mse
from keras.utils import plot_model
from keras import backend as K
from date... |
import numpy as np
import bayesfast as bf
import numdifftools as nd
bf.utils.random.set_generator(0)
rng = bf.utils.random.get_generator()
x = rng.normal(size=(50, 4))
def poly_f(x):
return (
x[..., 0]**3 - 2 * x[..., 1]**3 + 3 * x[..., 1] * x[..., 2] * x[..., 3]
- 4 * x[..., 2]**2 * x[..., 3] + ... |
from typing import Sequence
from maru.feature.extractor.abstract import IFeatureExtractor
from maru.types import FeatureVector, Word
class SuffixExtractor(IFeatureExtractor):
def __init__(self, sizes: Sequence[int] = range(1, 4)):
self._sizes = sorted(sizes)
def extract(self, word: Word) -> FeatureV... |
import torch.nn as nn
import torch.nn.functional as F
from base import BaseModel
class MnistModel(BaseModel):
def __init__(self, num_classes=10):
super().__init__()
self.conv1 = nn.Conv2d(1, 10, kernel_size=5)
self.conv2 = nn.Conv2d(10, 20, kernel_size=5)
self.conv2_drop = nn.Dropo... |
# -*- coding: utf-8 -*-
'''A module to run the development server.'''
from wordfusion import app
app.run(debug=True)
|
"""
[5/12/2014] Challenge #162 [Easy] Novel Compression, pt. 1: Unpacking the Data
https://www.reddit.com/r/dailyprogrammer/comments/25clki/5122014_challenge_162_easy_novel_compression_pt_1/
# [](#EasyIcon) _(Easy)_: Novel Compression, pt. 1: Unpacking the Data
Welcome to this week's Theme Week. We're going to be cre... |
import toml
snooty = toml.load("scripts/rstspec.toml")
snippets = []
for directive in snooty["directive"]:
if "example" in snooty["directive"][directive]:
print("Working on {}\n\n".format(directive))
# Don't build snippets for devhub-only directives - they're handled elsewhere
if str(di... |
# Octave example:
# [W,s,v] = svd((repmat(sum(x.*x,1), size(x,1),1).*x)*x^1);
|
from model.group import Group
from random import randrange
import pytest
import random
import string
def random_string(prefix, maxlen):
symbols = string.ascii_letters + string.digits + " "*10
return prefix + "".join([random.choice(symbols) for i in range(random.randrange(maxlen))])
test_data = [
Group(n... |
from .UrlParser import TwitchUrlParser
from .PlaylistAccessToken import TwitchPlaylist
from Core import GlobalExceptions
from Services.Utils.WorkerThreads import WorkerThread
from Services.Twitch.Gql import TwitchGqlAPI
from Services.Twitch.Playback import TwitchPlaybackAccessTokens
class Exceptions(GlobalExceptions... |
import sys
for line in sys.stdin:
if line.startswith('#'):
print line.strip()
else:
print line[31:38].strip(), line[38:46].strip(), line[46:54].strip()
|
# -*- coding: utf-8 -*-
class Player:
def __init__(self, name):
self.name = name
self.points = 0
def win_point(self):
self.points += 1
def won_with(self, other_player):
return self.points >= 4 and other_player.points >= 0 and \
(self.points - other_player.poin... |
import numpy as np
from ..local_interpolation import ThirdOrderHermitePolynomialInterpolation
from .base import AbstractAdaptiveSDESolver, AbstractStratonovichSolver
from .runge_kutta import AbstractERK, ButcherTableau
_midpoint_tableau = ButcherTableau(
a_lower=(np.array([0.5]),),
b_sol=np.array([0.0, 1.0])... |
from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.view_form, name='view_form'),
url(r'^create_form$', views.create_form, name='create_form'),
url(r'^created_form$', views.created_form, name='created_form'),
]
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2019 The FATE 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.or... |
#!/usr/bin/python
'''_____________________________________________________________________________
'
' Created By: Kevin M. Albright
' Creation Date: 04.13.2014
'
' Modified By: Kevin M. Albright
' Last Modified: 04.14.2014
'
' Assignment: Lab8
' File Name: albright_lab8.py
' Purpose: Th... |
import os
if os.environ.get('RUN_ON_DORA'):
import dorasl as DoraServerless
dora = DoraServerless.Dora()
number_of_replicas = 3
number_of_gpu = 1
number_of_cpu = '200m'
dora.upload('./', 'home', 'pytest45')
dora.sync('./', 'home', 'pytest45', True)
# Setup the workload
wk = DoraServerless.Workload('my.py... |
def f(n,left):
if n==1 or n==2:
return 1
if n==3:
return 2
if n>3 and left==3:
return f(3,0)*f(n-3,0)
if n>3 and left>3:
return f(3,left-2)*f(n-2,left-2)+f(1,0)*f(n-1,left-1)
if __name__=='__main__':
for step in range(1,11):
print '%3d s... |
import numpy as np
from scipy import optimize as opt
import math
# Create coefficient tables to solve for equations of state
PS_COEFF = np.zeros([10, 10])
PS_COEFF[0][2] = 0.24657688*math.pow(10, 6)
PS_COEFF[0][3] = 0.51359951*math.pow(10, 2)
PS_COEFF[1][2] = 0.58638965*math.pow(10, 0)
PS_COEFF[1][3] = -0.28646939*ma... |
import pytest
from spacy.attrs import ORTH, LENGTH
from spacy.tokens import Doc, Span, Token
from spacy.vocab import Vocab
from spacy.util import filter_spans
from .test_underscore import clean_underscore # noqa: F401
@pytest.fixture
def doc(en_tokenizer):
# fmt: off
text = "This is a sentence. This is anot... |
import numpy as np
import pyaudio
import time, sys, math
from collections import deque
from src.utils import *
class Stream_Reader:
"""
The Stream_Reader continuously reads data from a selected sound source using PyAudio
Arguments:
device: int or None: Select which audio stream to read .
... |
from pyproj import Proj
# Criar um objeto para transformar projeções
p = Proj(init='epsg:3857') # código da EPSG para a projeção web mercator (g-maps)
# Converter lon/lat para web mercator e o contrário
print(p(-97.740372, 30.282642))
print(p(-10880408.440985134, 3539932.820497298, inverse=True)) |
# -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from odoo import api, fields, models, _
class StockQuantityHistory(models.TransientModel):
_name = 'stock.quantity.history'
_description = 'Stock Quantity History'
compute_at_date = fields.Selection([
... |
from flask import Flask, jsonify, request
from transformers import pipeline
import torch
from transformers import PreTrainedTokenizerFast
from transformers.models.bart import BartForConditionalGeneration
app = Flask(__name__)
# use summarize model (pipeline)
summarizer = pipeline('summarization')
# use kobart model
... |
# Go through all downloaded raw texts and convert them to simple text, removing punctuation, etc
import utils
import unicodedata
import os
import re
from icelandicTextList import icepahcList, sagasList, modernBookList
def parseIcelandic():
RAW_FOLDER = "../rawTexts/icelandic/"
PARSED_FOLDER = "icelandic/"
... |
import platform
import subprocess
if __name__ == "__main__":
print("Running CMake...")
if platform.system() == "Windows":
subprocess.call("cmake -B build -G \"Visual Studio 16 2019\"")
elif platform.system() == "Darwin":
subprocess.call("cmake -B build -G Xcode", shell=True)
print("CMak... |
#!/usr/bin/env python3
from pwn import *
PATH = './challenge'
def get_offset():
p = process(PATH)
c = cyclic(50000)
p.sendline(c)
p.recvuntil('[check] 0x')
check = p.recvline().strip()
sequence = unhex(check) # extract cyclic from hex ptr
little_endian = u32(sequen... |
from flask import render_template, request, redirect, url_for, current_app
from pprint import pprint
from SPARQLWrapper import SPARQLWrapper, JSON
from rdflib import Graph, plugin, URIRef, Literal
from rdflib.parser import Parser
from rdflib.serializer import Serializer
import json
import re
from . import main
@main... |
# Generated by Django 3.2.7 on 2022-01-10 12:12
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('hood', '0006_business'),
]
operations = [
migrations.RenameField(
model_name='business',
old_name='neighbourhood',
... |
### Encadenamiento
F={'nombre':{'primero':'Juan','segundo':'Marcelo'},'trabajo':['profesor','ingeniero']}
print(F)
print('nombre')
print(F['nombre']['primero'])
print(F['nombre']['segundo'])
print(F['trabajo'])
print(F['trabajo'][0])
print(F['trabajo'][1])
F['trabajo'].append('pintor')
print(F)
print(F['trabajo'][2])... |
# -*- coding: utf-8 -*-
"""Largest Continuous Sum.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1oYbOWHDKKRyP3AkhohaVPQ1lHngeLMZF
"""
def large_cont_sum(arr):
if len(arr) == 0:
return 0
sum = largest_sum = arr[0]
current_point =0
... |
from datetime import datetime
from celery import shared_task
from django.db import connections
from scripts.helpers import ordered_query_iterator
from capdb.models import *
def sync_case_body_cache_for_all_vols():
"""
Call sync_case_body_cache_for_vol celery task for each volume
"""
for volume_id... |
#!/usr/bin/python
"""
Field Robot Event 2014 (ver0 - autonomous landing on heliport sign)
usage:
./fre_drone.py <task>
"""
import sys
import datetime
import multiprocessing
import cv2
import math
import numpy as np
from pave import PaVE, isIFrame, frameNumber, timestamp, correctTimePeriod, frameEncodedWidth... |
# -*- coding: utf-8 -*-
'''
https://leetcode.com/problems/add-digits/
'''
class Solution(object):
def addDigits(self, num):
"""
:type num: int
:rtype: int
"""
if not num:
return 0
result = num % 9
if not result:
result = 9
r... |
import os
import pytest
from twindb_backup.cache.cache import Cache, CacheException
def test_init_raises_exception():
with pytest.raises(CacheException):
Cache('foo')
def test_in(cache_dir):
c = Cache(str(cache_dir))
assert 'bar' not in c
cache_dir.mkdir('foo')
assert 'foo' in c
def... |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Thu Dec 20 23:05:15 2018
@author: Thomas Atta-Fosu (attafosu@yahoo.com)
"""
import pandas as pd
import datetime
import numpy as np
from matplotlib import pylab as plt
from matplotlib import dates as mdates
from dateutil import relativedelta
#%% Recession ... |
#
# PySNMP MIB module SUN-CLUSTER-EVENTS-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/SUN-CLUSTER-EVENTS-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 21:04:15 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (d... |
import json
import asyncio
import threading
from sanic import Sanic, response
from sanic.websocket import WebSocketProtocol
from hhagent.meta import BANNER
from hhagent.tools import manifest
app = Sanic(name='hhagent')
async def _consumer_handler(ws):
while True:
# TODO: do things here interactively
... |
#!/usr/bin/env python3
# *******************************************************
# Copyright (c) VMware, Inc. 2020. All Rights Reserved.
# SPDX-License-Identifier: MIT
# *******************************************************
# *
# * DISCLAIMER. THIS PROGRAM IS PROVIDED TO YOU "AS IS" WITHOUT
# * WARRANTIES OR CONDITI... |
from shooter.config import LANDSCAPE_PALM
from shooter.game_object.landscape import Landscape
class Palm(Landscape):
"""Класс пальмы"""
def __init__(self, x, y, image=LANDSCAPE_PALM):
super().__init__(x, y, image)
|
import torch
import numpy as np
import os
import cv2
from LapNet import LAPNet
from create_dataset import createDataset
from torch.nn import DataParallel
from collections import OrderedDict
from torch.nn.parameter import Parameter
import json
import base64
import numpy as np
from flask import Flask, request, Respons... |
import dolfin as df
import numpy as np
def make_line_mesh(vertices, cells=None, close_path=False):
'''Mesh from data by MeshEditor'''
assert vertices.ndim == 2
# Path mesh
if cells is None:
nvertices = len(vertices)
if not close_path:
cells = np.array([(i, i+1) for... |
import logging
import sys
from typing import TYPE_CHECKING
from grouper import public_key
from grouper.ctl.base import CtlCommand
from grouper.ctl.util import ensure_valid_username, make_session
from grouper.models.audit_log import AuditLog
from grouper.models.user import User
from grouper.plugin.exceptions import Plu... |
from catello.settings.base import *
ALLOWED_HOSTS = ["*"]
LOGLEVELDEBUG=True
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'NAME': 'catello_bot',
'USER': 'bruand',
'PASSWORD': None,
'HOST': 'localhost',
'PORT': 5432,
}
} |
import os
import numpy as np
import pandas as pd
# Paths to text files
ROOT_DIR = os.path.join(os.path.dirname(__file__), '..')
DATA_DIR = os.path.join(ROOT_DIR, 'data')
DATA_PATH = os.path.join(DATA_DIR, 'data.txt')
TRAIN_DATA_PATH = os.path.join(DATA_DIR, 'train.txt')
TEST_DATA_PATH = os.path.join(DATA_DIR, 'test.t... |
from rest_framework import serializers
from rest_framework.routers import DefaultRouter
from rest_framework.viewsets import ModelViewSet
from hc.api.models import Channel
class ChannelSerializer(serializers.ModelSerializer):
class Meta:
model = Channel
fields = ('code', 'kind', 'value', 'user', '... |
from django.shortcuts import (render, redirect, reverse,
get_object_or_404, HttpResponse)
from django.contrib import messages
from django.views.decorators.http import require_POST
from django.contrib.auth.decorators import login_required
from django.conf import settings
from django.utils i... |
#Interphase - Copyright (C) 2009 James Garnon <https://gatc.ca/>
#Released under the MIT License <https://opensource.org/licenses/MIT>
from __future__ import division
import os
try:
_set = set
except NameError:
from sets import Set as _set
from interphase.env import engine
__docformat__ = 'restructuredtext'
... |
"""
Copyright 2020 Google LLC
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
https://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distrib... |
#!/usr/bin/env python
import json
import requests
import threading
from retrying import retry
EVENT_ENDPOINT = 'https://bitpay.com/events'
CONTENT_TYPE_HEADER = {'content-type': 'text/event-stream'}
SUBSCRIBE_QUERY = 'action=subscribe&events%%5B%%5D=payment&token=%s'
STATUS_FIELD = 'status'
STATUS_EXPIRED = 'expired... |
# Testing module instance_type.i2
import pytest
import ec2_compare.internal.instance_type.i2
def test_get_internal_data_instance_type_i2_get_instances_list():
assert len(ec2_compare.internal.instance_type.i2.get_instances_list()) > 0
def test_get_internal_data_instance_type_i2_get():
assert len(ec2_compare.intern... |
# Library imports
from urllib.request import urlopen, FancyURLopener, Request
class TWURLOpener(FancyURLopener):
# UrlOpener version info
version = "PyTwitch"
|
#!/usr/bin/env python
#import freenect
import numpy as np
import cv2
import time
from matplotlib import pyplot as plt
import copy
# calibrate kinect to world
# https://github.com/amiller/libfreenect-goodies/blob/master/calibkinect.py
# also check out mouse_and_match
class User_ROI_Selection:
NUM_FRAMES = 0
... |
import logging
import os
import pytest
from testing.functional_tests.t_utils import __tmp_dir__, create_tmp_dir, __data_testing_dir__, download_functional_test_files
from testing.common_testing_util import remove_tmp_dir
logger = logging.getLogger(__name__)
def setup_function():
create_tmp_dir()
@pytest.mark.sc... |
#!/usr/bin/env python3
# Copyright 2020 Unai Martinez-Corral <unai.martinezcorral@ehu.eus>
#
# 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
... |
"""Unit tests for the selected_tests script."""
import json
import os
import unittest
from buildscripts import errorcodes
# Debugging
errorcodes.list_files = True
TESTDATA_DIR = './buildscripts/tests/data/errorcodes/'
class TestErrorcodes(unittest.TestCase):
"""Test errorcodes.py."""
def setUp(self):
... |
#encoding:utf-8
import word_util
import codecs
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import random
def word_idf_equal_zero(word_idf_map):
idf_0_list = list(map(lambda x:float(word_idf_map[x])<1e-6,word_idf_map))
#print(type(idf_0_list))
count_idf_count_zero = np.sum(i... |
from SloppyCell.ReactionNetworks import *
net = IO.from_SBML_file('BIOMD0000000051.xml', 'base')
net.compile()
traj = Dynamics.integrate(net, [0, 40])
Plotting.figure(1, figsize=(8,8))
Plotting.clf()
vars = ['cglcex','cfdp','cg1p','cg6p','cpep','cpyr','cf6p','cgap','cpg']
for ii, v in enumerate(vars):
ax = Plott... |
"""
This file demonstrates writing tests using the unittest module. These will pass
when you run "manage.py test".
Replace this with more appropriate tests for your application.
"""
import datetime
from personnel.models import Person, JobPosting, Organization
from lab_website.tests import BasicTests
MODELS = [Perso... |
# Import the OpenStack connection class from the SDK
from openstack import connection
# Create a connection object by calling the constructor and pass the security information
conn = connection.Connection(auth_url="http://192.168.0.106/identity",
project_name="demo",
username="admin",
password="manoj",
user_domain_id=... |
from osr2mp4.ImageProcess import imageproc
from osr2mp4.ImageProcess.PrepareFrames.YImage import YImage
urarrow = "editor-rate-arrow"
def prepare_urarrow(settings):
frame = YImage(urarrow, settings, settings.scale * settings.settings["Score meter size"] * 0.75, defaultpath=True).img
imageproc.changealpha(frame, 0... |
"""Resources management (files/directories/etc.)."""
__version__ = '0.1.3'
|
#!/usr/bin/python2.4
#
# Copyright 2011 Google Inc. 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... |
# -*- coding: utf-8 -*-
import commands
import thread
import signal
import os
import time
import subprocess
import platform
import sys
import traceback
import glob
if platform.system() == "Windows":
import win32api
from tasbot.utilities import *
from tasbot.plugin import IPlugin
import udpinterface
def addorreplac... |
"""
Geonomics Help (:mod:`geonomics.help`)
======================================
.. currentmodule:: geonomics.help
Memory Help
-----------
get_obj_size Get the full size of a complex object
Parameters Help
---------------
plot_movement Plot example movement tracks generated by the input
... |
import pytest
pytestmark = pytest.mark.asyncio
async def test_main():
assert True
|
# This file contains functions for training a TensorFlow model
import tensorflow as tf
import numpy as np
import os
MODEL_DIR = os.path.join(
os.path.dirname(os.path.realpath(__file__)),
'models'
)
def load_data():
mnist = tf.keras.datasets.mnist
(x_train, y_train),(x_test, y_test) = mnist.load_data... |
#km hm dam m dm cm mm
medida=float(input('digite a medida em metros : '))
dm=medida*10
cm=medida*100
mm=medida*1000
dam=medida/10
hm=medida/100
km=medida/1000
print("""
a converção de metros para dm é {:.1f}
a converção de metros para cm é {:.1f}
a converção de metros para mm é {:.1f}
a converção de metros para dam ... |
import numpy as np
from astropy.table import Table
from astropy.io import ascii
deg = np.pi/180.0
# np.random.seed(42)
np.random.seed(43)
N_systems = 10
# let's get a sample of uniformly oriented disks in 3D space
# Generate randomly oriented momentum vector on the sky.
U = np.random.uniform(size=N_systems)
V = np.r... |
class Solution:
def canCompleteCircuit(self, gas, cost):
start = 0
deficit = 0
tank = 0
for i, (g, c) in enumerate(zip(gas, cost)):
tank += g - c
if tank < 0:
start = i + 1
deficit -= tank
tank = 0
... |
# -*- coding: utf-8 -*-
dh.define_table('article',
Field('article_uuid', type='string',
length=36,
#default=uuid4(),
required=True,
require... |
from fireo.fields import TextField, IDField, DateTime
from fireo.models import Model
from datetime import datetime
def test_fix_issue_77():
class UserIssue77(Model):
name = TextField()
created_on = DateTime(auto=True)
UserIssue77.collection.create(name="Azeem")
UserIssue77.collection.crea... |
import os
import pickle
import numpy as np
from numba import jit
from .ucb import UCB
@jit(nopython=True)
def calc_confidence_multiplier(confidence_scaling_factor, approximator_dim, iteration, bound_features,
reg_factor, delta):
return confidence_scaling_factor * np.sqrt(approxima... |
from flask import Flask
from flask_restful import Resource, Api
app = Flask(__name__)
api = Api(app)
import airbnbapi.resources
|
from .descriptors import (
number_of_rotatable_bonds,
number_of_rotatable_bonds_target_clipped,
)
|
import math
class Solution(object):
def getPermutation(self, n, k):
ans = ''
fact = [1] * n
num = [str(i) for i in range(1, 10)]
for i in range(1, n):
fact[i] = fact[i - 1] * i
k -= 1
for i in range(n, 0, -1):
first = k // fact[i - 1]
... |
# -*- coding: utf-8 -*-
import os
import glob
import models
import preprocessing
import wordembedding
import postprocessing
import generalize_rules
def load_file(path):
"""Loads file and return its content as list.
Args:
path: Path to file.
Returns:
list: Content splited by linebreak.
... |
class Codec:
def encode(self, strs):
"""Encodes a list of strings to a single string.
:type strs: List[str]
:rtype: str
"""
res = ""
for i in range(len(strs)):
for j in range(len(strs[i])):
if strs[i][j] == '|':
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# TODO: Comment this code
import sys
import shutil
import os
from gluon.languages import findT
sys.path.insert(0, '.')
file = sys.argv[1]
apps = sys.argv[2:]
d = {}
for app in apps:
path = 'applications/%s/' % app
findT(path, file)
data = eval(open(os.path... |
StateAbbreviations = [
'al',
'ak',
'az',
'ar',
'ca',
'co',
'ct',
'de',
'fl',
'ga',
'hi',
'id',
'il',
'in',
'ia',
'ks',
'ky',
'la',
'me',
'md',
'ma',
'mi',
'mn',
'ms',
'mo',
'mt',
'ne',
'nv',
'nh',
'nj... |
# coding: utf-8
"""
Accounting Extension
These APIs allow you to interact with HubSpot's Accounting Extension. It allows you to: * Specify the URLs that HubSpot will use when making webhook requests to your external accounting system. * Respond to webhook calls made to your external accounting system by HubSp... |
class Tone:
def __init__(self, frequency):
self._frequency = abs(frequency) # Hertz (Hz)
@property
def frequency(self):
return self._frequency |
# coding: utf-8
from __future__ import absolute_import
from pyblaze.base import BlazeError
from pyblaze.qed import sparse2qed_fp32, sparse2qed_fp16
import numpy as np
import logging
import sys, getopt
def print_help():
print 'build_qed -p <path> -i <infile> -o <ofile> -s <precision> -t <threadnum>'
print ''
pri... |
# -*- coding: utf-8 -*-
"""
Academy Spectral Similarity Index (SSI)
=======================================
Defines the *Academy Spectral Similarity Index* (SSI) computation objects:
- :func:`colour.spectral_similarity_index`
References
----------
- :cite:`TheAcademyofMotionPictureArtsandSciences2019` : The Acad... |
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