content stringlengths 5 1.05M |
|---|
import pytest
from rpi_backlight import Backlight, _permission_denied
from rpi_backlight.utils import FakeBacklightSysfs
def test_permission_denied() -> None:
with pytest.raises(PermissionError):
_permission_denied()
def test_get_value() -> None:
with FakeBacklightSysfs() as backlight_sysfs:
... |
__author__ = 'fmoscato'
from datetime import datetime
from collections import OrderedDict
from itertools import groupby
from operator import itemgetter
import pymongo
import constants as c
# The Aggregation DAO handles interactions with the publication collection,
# and aggregate the results.
class Aggregation... |
# Generated by Django 3.2.3 on 2021-05-22 08:45
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('auctions', '0006_auction_time'),
]
operations = [
migrations.AlterField(
model_name='auction',
name='time',
... |
import discord
import modules.codenames.globals as global_values
class Player():
team = -1
def __init__(self, user):
self.user = user
|
# https://github.com/sbarratt/inception-score-pytorch
# Revised by [elvisyjlin](https://github.com/elvisyjlin)
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.data as data
from torch.autograd import Variable
from torchvision.models.inception import inception_v3
import numpy as np... |
"""
Tests simple example.
"""
import os
from silvera.lang.meta import get_metamodel
from silvera.utils import get_root_path
def test_example():
examples_path = os.path.join(get_root_path(), "tests", "examples")
metamodel = get_metamodel()
path = os.path.join(examples_path, "example.si")
metamodel.mod... |
# Preprocessing for CMIP6 models
import warnings
import cf_xarray.units
import numpy as np
import pandas as pd
import pint
import pint_xarray
import xarray as xr
from cmip6_preprocessing.utils import _maybe_make_list, cmip6_dataset_id
# global object for units
_desired_units = {"lev": "m"}
_unit_overrides = {name: ... |
# Write a function is_factor(f, n) that passes the tests below.
import sys
def is_factor(f, n):
return n % f == 0
def test(did_pass):
""" Print the result of a test. """
linenum = sys._getframe(1).f_lineno # Get the caller's line number.
if did_pass:
msg = "Test at line {0} ok.".format(l... |
#!/usr/bin/env python
from dockerpython.source import Source
if __name__ == '__main__':
print("hello world")
asource = Source('env/env.sh')
assert 'some env' in asource.atestenv
|
from sklearn import svm
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
import pandas as pd
from sklearn.decomposition import PCA, FastICA
def read_data(csv_file_path, is_PCA):
dataset = pd.read_csv(csv_file_path)
dataset.columns = ['edible', '... |
print("Kinjal Raykarmakar\nSec: CSE2H\tRoll: 29\n")
def s_list(l,size):
return [l[i:i+size] for i in range(0, len(l), size)]
lis=[1,3,4,7,9,8,6,2]
size=int(input("Enter the size: "))
print(s_list(lis,size))
|
# encoding: utf-8
# 该文件，为无界面启动文件，以vtServer为容器，加载MainEngine
# 配置：
# self.gateway_name ，gateway 的连接名称，在vtEngine.initGateway()里面定义，对应的配置文件是 "连接名称_connect.json"，
# self.strategies：启动的策略实例，须在catStrategy/CtaSetting.json 里面定义 [u'S28_RB1001', u'S28_TFT', u'S28_HCRB',u'atr_rsi']
# vtServer的ZMQ端口： 从VT_Setting.json中配置，根据AU... |
a = 14 ^ 15
|
import torch
import torchvision.datasets as datasets
import torchvision.transforms as transforms
def make_imagenet_dataloader(train_batch_size, test_batch_size, image_size, **kwargs):
assert(image_size == -1 or image_size == 224), 'Currently we only use default (224x224) for imagenet'
num_classes = 1000
I... |
# coding=utf-8
n, k = map(int, input().split())
s = [[]for _ in range(n)]
for i in range(n):
s[i] = input()
f = [[1 for d in range(n)] for _ in range(n)]
for i in range(n):
for j in range(n):
ssum = 0
for t in range(j, min(j+k, n)):
if s[i][t] == '.':
ssum += 1
... |
import numpy
import qrtools
import scipy.ndimage
import os
def qrpng2pcbpoly(qrpngfilename, x0=9600, y0=3200):
im = scipy.ndimage.imread(qrpngfilename, flatten=True)
ymax, xmax = im.shape
y, x = numpy.where(im == 255)
x0 = x0 - 450
y0 = y0 + 430
step = 14
polygons = []
for ix, xvalue in enumerate(x):
x1 = x0... |
from __future__ import absolute_import
from .jaccard import batched_f_measure, batched_jaccard
|
import demistomock as demisto
from CommonServerPython import *
from typing import Optional, Tuple, Union
from datetime import datetime, timedelta
import json
import requests
import urllib3
import dateparser
# Disable insecure warnings
urllib3.disable_warnings()
ALL_EVENTS = "All"
ISSUES_EVENTS = "Issues"
BLOCKED_CLI... |
from setuptools import setup, find_packages
setup(
name='dfilter',
version='0.1',
description='filter and query tools for dictionaries',
long_description=open('README.rst').read(),
author='Martin Slabber',
author_email='martin.slabber@gmail.com',
license='MIT',
packages=find_packages(e... |
from __future__ import unicode_literals
from django.db import models
import datetime
from django.utils import timezone
# Create your models here.
class Question(models.Model):
question_text = models.CharField(max_length=200)
pub_date = models.DateTimeField('date published')
def __str__(self):
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# pylint: disable=missing-docstring, import-error
import functools
import tick_pb as tick
def _main():
t = tick.Tick(lambda elapsed_ms: print(f"elapsed: {elapsed_ms} ms"),
500, 1000,
lambda: print("run beg"), lambda: print("run end"))
... |
"""
Module for finding an expression given a float
Note that this is of course just guessing.
"""
import math
def namednumber(num):
""" attempt to find exact constant for float """
def isnear(val):
return abs(num-val)<0.00001
if isnear(0.0): return "0"
if num<0:
sign = "-"
num... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Text diff/match analyzer API.
"""
__license__ = """
GoLismero 2.0 - The web knife - Copyright (C) 2011-2014
Golismero project site: https://github.com/golismero
Golismero project mail: contact@golismero-project.com
This program is free software; you can redistribute... |
# -*- coding: utf-8 -*-
import sys
from library.components.SensorFactory import SensorFactory as SensorFactory
from library.components.JobModule import JobModule as Job
from collections import defaultdict
import time
import json
#add the project folder to pythpath
sys.path.append('../../')
class FileLogMetaData(Job... |
from society import UKSociety, HighValencyTester
from society.test import TestQueue
import random
class TwoTrackTester(UKSociety):
CONTACT_VALENCY_THRESHOLD = 22 # vF
PROPORTION_FAST_TRACK = 0.5
DAYS_TO_CONTACTS_SECOND_TEST = 3
MIN_CONTACTS_TEST = 0
def __init__(self, **kwargs):
UKSoci... |
from django.db import models
from django.contrib.auth import get_user_model
User = get_user_model()
class Car(models.Model):
vin = models.CharField(verbose_name='Vin', db_index=True, unique=True, max_length=64)
color = models.CharField(verbose_name='Color', max_length=64)
brand = models.CharField(verbose... |
from transformers import BertTokenizer,RobertaTokenizer, AutoTokenizer
import json
import torch
import os
import numpy as np
from formatter.Basic import BasicFormatter
import random
class HierarchyFormatter(BasicFormatter):
def __init__(self, config, mode, *args, **params):
super().__init__(config, mode, ... |
#!/usr/bin/python
import datetime,redis,ConfigParser
import xml.etree.ElementTree as ET
import requests
from walrus import *
from requests.auth import HTTPBasicAuth
import argparse
db = redis.Redis('localhost')
def ConfigSectionMap(section):
dict1 = {}
options = Config.options(section)
for option in opt... |
from distutils.core import setup, Extension
import glob
_DEBUG = True
_DEBUG_LEVEL = 1
_UICAL_LOG_LEVEL = 5
extra_compile_args = ["-std=c++11", "-Wall", "-Wextra", "-Wno-missing-field-initializers"]
if _DEBUG:
extra_compile_args += ["-g3", "-O0", "-DDEBUG=%s" % _DEBUG_LEVEL, "-UNDEBUG", "-DUICAL_LOG_LEVEL=%s" %... |
import logging
from logging.handlers import TimedRotatingFileHandler
logFormatter = logging.Formatter("%(asctime)s - %(levelname)s :\t%(message)s")
timedHandler = TimedRotatingFileHandler(filename="./logs/stardust.log", when="m", interval=10, backupCount=0)
timedHandler.setFormatter(logFormatter)
stardustLogger = logg... |
"""
Copyright 2019 Goldman Sachs.
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,
software di... |
# The API requires specific book codes, so I have to be able to translate all of them. key -> value is the best for this.
def books_dict():
return dict([("GENESIS", "GEN"),
("EXODUS", "EXO"),
("LEVITICUS", "LEV"),
("NUMBERS", "NUM"),
("DEUTERONOMY"... |
"""Minify HTML
A quick hack at the moment.
"""
import sys
import argparse
from parser import parseHTML, ParseException
def doMin(fileName):
body = parseHTML(fileName)
sys.stdout.write(body.toStr({'discardComments':True, 'deploy':True}))
if __name__ == "__main__":
cmdParser = argparse.ArgumentParser(des... |
from shutil import copyfile
import numpy as np
from navec import Navec
path = 'ru/navec_hudlit_v1_12B_500K_300d_100q.tar'
navec = Navec.load(path)
words = []
embeddings = []
for word, id in navec.vocab.word_ids.items():
if word == '<unk>':
word = '*UNK*'
words.append(word)
embeddings.append(navec... |
"""This example is a loose HyperparameterHunter adaptation of the SKLearn example on the
"Effect of transforming the targets in regression models"
(https://scikit-learn.org/stable/auto_examples/compose/plot_transformed_target.html#real-world-data-set).
Specifically, we'll be looking at the section using the Boston Hous... |
from importlib.abc import Loader, MetaPathFinder
from importlib.util import spec_from_loader
from io import BytesIO
import os
import random
import sys
import webbrowser
import fabulous.image
import fabulous.utils
import requests
from dotenv import load_dotenv
load_dotenv()
EDAMAM_ENDPOINT = "https://api.edamam.com/s... |
import math
import torch
import torch.nn as nn
from torch.nn.parameter import Parameter
class Scale(nn.Module):
def __init__(self, init_value=1e-3):
super(Scale, self).__init__()
self.scale = Parameter(torch.FloatTensor([init_value]))
def forward(self, x):
return x * self.scale
clas... |
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
from gaiatest import GaiaTestCase
from gaiatest.apps.homescreen.app import Homescreen
class TestRocketBarAddCollection... |
import base64
import io
import os
import urllib.error
import urllib.parse
import urllib.request
import uuid
import PIL
from PIL import Image
from flask import current_app
from flask import current_app as app
from sqlalchemy.orm.exc import NoResultFound
from xhtml2pdf import pisa
from app import get_settings
from app.... |
from categories.base import CategoryBaseAdminForm
from categories.models import Category
class CategoryAdminForm(CategoryBaseAdminForm):
class Meta:
model = Category
def clean_alternate_title(self):
if self.instance is None or not self.cleaned_data["alternate_title"]:
return self.... |
# Copyright 2019 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... |
from abc import ABC, ABCMeta, abstractmethod
class Véhicule(ABC):
def demarrer(self):
pass
class Voiture(Véhicule):
def demarrer(self):
print("C'est une voiture")
pass
class Moto(Véhicule):
def demarrer(self):
print("C'est une moto eeeeh ouais bg ca se demarre au cick")
... |
import numpy as np
import random
import sys
import mnist # This is just to get the training data working
class Net: # Simple neural network for classification problems
def __init__(self,nodes,initialisation=random.random):
# Initialisation is the function which is used to intialise the weights and biases
self.n... |
# Copyright (c) 2013, Helio de Jesus and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe, erpnext
from frappe import _
from frappe.utils import flt
from frappe.model.meta import get_field_precision
from frappe.utils.xlsxutils import handle_html
from ... |
from django.db.models import CharField, DateTimeField, JSONField, Model, TextField
class FailedMessage(Model):
created = DateTimeField(auto_now_add=True)
topic_name = CharField(max_length=255)
subscription_name = CharField(max_length=255)
subject = CharField(max_length=255)
message = JSONField()
... |
n = int(input())
a = 0
b = 1
# while a != n:
# a, b = b, a + b
print(f"{0} {0} {n}") |
#!/usr/local/bin/python
#
# WSPR receiver.
#
# switches among bands if weakcat.py understands the radio.
# reports to wsprnet if mycall/mygrid defined in weak.ini.
#
# Robert Morris, AB1HL
#
import wspr
import sys
import os
import time
import weakaudio
import numpy
import threading
import re
import random
import copy... |
import tensorflow as tf
import tensorflow.keras.applications as keras_applications
import efficientnet.tfkeras as efficientnet
from tensorflow.keras import layers as keras_layers
from tensorflow.keras import backend as K
from glrec.train import utils as train_utils
from glrec.train.constants import constants as train_... |
import shlex
import subprocess
from game_control.game import Game
class ExecutableGame(Game):
"""Implementation of abstract base class to control an executable game."""
def __init__(self, executable_filepath, **kwargs):
"""Constructs and starts an executable game.
Args:
executab... |
import comprehender
import ItemSearch
import deserializer as ds
TEST_TEXT="""
People have known since ancient times that aspirin helps to reduce pain and high body temperature. But that is not all aspirin can do. It has gained important new uses in recent years. Small amounts of the drug may help prevent a heart atta... |
#!/usr/bin/env python3
import numpy as np
def run_round(board, stuck=False):
size = board.shape[1]
new_board = np.zeros(board.shape, dtype=bool)
for r in range(size):
for c in range(size):
n_on = np.count_nonzero(board[max(0, r - 1):min(r + 2, size), max(0, c - 1):min(c + 2, size)])
... |
import os
import sys
import csv
import numpy as np
import scipy.io
import scipy.misc as spm
import cv2
from scipy import ndimage
import tensorflow as tf
from tensorflow.python.framework import ops
def showImg(img):
cv2.imshow("test", img)
cv2.waitKey(-1)
def dense_to_one_hot(labels_dense, num_classes):
... |
import pkg_resources
from rfhub.version import __version__
import rfhub.kwdb
# this will be defined once the app starts
KWDB = None
|
BATCH_SIZE = 64
EPOCHS = 100
IMG_WIDTH = 1801
IMG_HEIGHT = 32
NUM_CHANNELS = 3
NUM_CLASSES = 2
NUM_REGRESSION_OUTPUTS = 24
K_NEGATIVE_SAMPLE_RATIO_WEIGHT = 4
INPUT_SHAPE = (IMG_HEIGHT, IMG_WIDTH, NUM_CHANNELS)
PREDICTION_FILE_NAME = 'objects_obs1_lidar_predictions.csv'
PREDICTION_MD_FILE_NAME = 'objects_obs1_metadata.... |
#!/usr/bin/python
"""
Sphinx HTML output has leading newlines for some reason. This prevents
GH-Pages from auto-forwarding the root url to index.html, so need to trim out
the leading newlines. Very easy to do from the shell, but use a python
script in the interest of cross-platform compatibility.
This script removes... |
import time
import heapq
class PriorityQueue:
def __init__(self):
self._q = []
def add(self, value, priority=0):
heapq.heappush(self._q, (priority, time.time(), value))
def pop(self):
return heapq.heappop(self._q)[-1]
f1 = lambda: print("hello")
f2 = lambda: print("world")
pq ... |
import click
from data.services import RottenTomatoesSearcher
from tables.builders import MovieSearchTableBuilder, TvShowSearchTableBuilder
from tables.rows.builders import MovieSearchRowBuilder, TvShowSearchRowBuilder
searcher = RottenTomatoesSearcher()
movie_search_table_builder = MovieSearchTableBuilder(MovieSearc... |
# 2017.12.16 by xiaohang
import sys
from caffenet import *
import numpy as np
import argparse
import torch.nn as nn
from torch.autograd import Variable
from torch.nn.parameter import Parameter
import time
class CaffeDataLoader:
def __init__(self, protofile):
caffe.set_mode_cpu()
self.net = caffe.Ne... |
import sys
import pandas as pd
data_type = sys.argv[1]
folder_no = sys.argv[2]
filename = '../data/MTA/MTA_videos_coords/' + data_type + '/cam_' + folder_no + '/coords_cam_' + folder_no + '.csv'
# filename = '../data/MTA/mta_data/images/' + data_type + '/cam_' + folder_no + '/coords_cam_' + folder_no + '.csv'
# file... |
import numpy as np
import cupy as cp
class model_mixer:
''' Functions for combining the weights of different models. The models should probably be based on an initial training run so that the majority of parameters are the same to begin with.'''
def __init__(self):
self._model_parame... |
#!/usr/bin/env python
import pytest
"""
Test 1771. Maximize Palindrome Length From Subsequences
"""
@pytest.fixture(scope="session")
def init_variables_1771():
from src.leetcode_1771_maximize_palindrome_length_from_subsequences import Solution
solution = Solution()
def _init_variables_1771():
... |
matches = 0
for line in open('2/input.txt'):
acceptable_positions, letter, password = line.split(" ")
low, high = acceptable_positions.split("-")
if (letter[0] == password[int(low)-1] ) != (letter[0] == password[int(high)-1]):
matches += 1
print(matches) |
import numpy as np
def editDistance(s1, s2):
m=len(s1)+1
n=len(s2)+1
tbl = np.empty([m,n])
for i in xrange(m): tbl[i,0]=i
for j in xrange(n): tbl[0,j]=j
for i in xrange(1, m):
for j in xrange(1, n):
cost = 0 if s1[i-1] == s2[j-1] else 1
tbl[i,j] = min(tbl[i, j-1... |
from setuptools import find_packages, setup
__version__ = '0.1'
url = 'https://github.com/ntt123/haiku_trainer'
download_url = '{}/archive/{}.tar.gz'.format(url, __version__)
install_requires = []
setup_requires = []
tests_require = []
setup(
name='haiku_trainer',
version=__version__,
description='A help... |
import requests
import os
import sys
import time
import datetime
start = time.mktime(time.localtime())
t = datetime.datetime.now()
today = t.strftime('%m-%d-%Y')
vm_name = "Kali-%s" % today
url = 'https://images.offensive-security.com/\
virtual-images/kali-linux-2020.3-vbox-amd64.ova'
local_filename = url.split('/'... |
from bolsonaro.models.model_raw_results import ModelRawResults
from bolsonaro.models.omp_forest_regressor import OmpForestRegressor
from bolsonaro.models.omp_forest_classifier import OmpForestBinaryClassifier, OmpForestMulticlassClassifier
from bolsonaro.models.nn_omp_forest_regressor import NonNegativeOmpForestRegress... |
from __future__ import absolute_import
from django.test import TestCase
from django.test.utils import override_settings
import django_dynamic_fixture as fixture
from readthedocs.projects.models import Project
@override_settings(
USE_SUBDOMAIN=True, PUBLIC_DOMAIN='public.readthedocs.org', SERVE_PUBLIC_DOCS=True
... |
# Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import logging
import warnings
from collections import defaultdict
import pytest
import torch
from torch.distributions import constraints
import pyro
import pyro.distributions as dist
import pyro.poutine as poutine
from pyro.dist... |
"""
Main program dla 2to3.
"""
z __future__ zaimportuj with_statement, print_function
zaimportuj sys
zaimportuj os
zaimportuj difflib
zaimportuj logging
zaimportuj shutil
zaimportuj optparse
z . zaimportuj refactor
def diff_texts(a, b, filename):
"""Return a unified diff of two strings."""
a = a.splitlines... |
from django import forms
from zentral.contrib.inventory.models import BusinessUnit
from .models import SimpleMDMInstance
from .api_client import APIClient, APIClientError
class SimpleMDMInstanceForm(forms.ModelForm):
class Meta:
model = SimpleMDMInstance
fields = ("business_unit", "api_key")
... |
import logging
import urllib.request
import time
import sys
import bot
def is_connected(url_string):
connected = False
try:
urllib.request.urlopen(url_string, timeout=5)
connected = True
except Exception as e:
logging.error(e)
return connected
def usage():
print("Usage ... |
# Copyright (c) 2017-2021 Digital Asset (Switzerland) GmbH and/or its affiliates. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
"""
The core scheduling of logic, managing the tricky interaction between the man asyncio event loop and
background threads.
"""
from asyncio import CancelledError, Future, Invali... |
# Copyright (C) 2015 Twitter, Inc.
"""Container for all campaign management logic used by the Ads API SDK."""
from twitter_ads.enum import TRANSFORM
from twitter_ads.analytics import Analytics
from twitter_ads.resource import resource_property, Resource, Persistence, Batch
from twitter_ads.http import Request
from tw... |
from typing import Optional
from password_manager.database_manager import DatabaseManager
from password_manager.encryption.record_reader import EncryptedRecordReader
from password_manager.encryption.record_writer import EncryptedRecordWriter
from password_manager.integration.controller import IntegrationController
fro... |
from facade_formatter import FacadeFormatter
class InterfaceDisplay:
def __init__(self):
self.formatter = FacadeFormatter()
def format_rows(self, rows):
formatted_rows = []
for row in rows:
formatted_rows.append(self.formatter.format_row(row))
return formatted_rows... |
import numpy as np
havaDurumu = [[12,21,31],[6,17,18],[11,12,13]]
print(havaDurumu)
print('-----------------------------------------')
a = np.arange(15).reshape(3,5)
print(a)
print(type(a))
print("Dimension Count : " + str(a.ndim)) # Boyut
print('-----------------------------------------')
b = np.ara... |
import logging
class _Decorators:
@classmethod
def try_decorator(cls, fn):
logger = logging.getLogger(__name__)
async def decorated(*args, **kw):
for _ in range(5):
try:
value = fn(*args, **kw)
except Exception as error:
... |
#!/usr/bin/env python
#
# freqresp_test.py - test frequency response functions
# RMM, 30 May 2016 (based on timeresp_test.py)
#
# This is a rudimentary set of tests for frequency response functions,
# including bode plots.
import unittest
import numpy as np
import control as ctrl
from control.statesp import StateSpace... |
# --------------------------------------------------------------------------
# Copyright (c) <2017> <Lionel Garcia>
# BE-BI-PM, CERN (European Organization for Nuclear Research)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files ... |
import unittest
from biothings_explorer.registry import Registry
from biothings_explorer.user_query_dispatcher import SingleEdgeQueryDispatcher
from .utils import get_apis
reg = Registry()
class TestSingleHopQuery(unittest.TestCase):
def test_anatomy2protein(self):
"""Test gene-protein"""
seqd = ... |
from packetbeat import (BaseTest, TRANS_REQUIRED_FIELDS)
def check_event(event, expected):
for key in expected:
assert key in event, "key '{0}' not found in event".format(key)
assert event[key] == expected[key],\
"key '{0}' has value '{1}', expected '{2}'".format(key,
... |
###################################################################################
# Copyright (c) 2015, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions ... |
from argparse import ArgumentParser
from functools import partial
from glob import glob
import h5py
import numpy as np
import os
import sys
from .reader import DataCollection, H5File, FileAccess
class ValidationError(Exception):
def __init__(self, problems):
self.problems = problems
def __str__(self... |
import cv2
import numpy as np
import matplotlib.pyplot as plt
from Load_Model import *
import easyocr
detection_threshold = 0.4
region_threshold = 0.6
category_index = label_map_util.create_category_index_from_labelmap(files['LABELMAP'])
def filter_text(region, ocr_result, region_threshold):
rectangle_size = reg... |
#!/usr/bin/env python
from setuptools import setup, find_packages
setup(
name='pysensu-yelp',
version='0.4.4',
provides=['pysensu_yelp'],
description='Emits Yelp-flavored Sensu events to a Sensu Client',
url='https://github.com/Yelp/pysensu-yelp',
author='Yelp Operations Team',
author_emai... |
from grammars.grammars import lang_dict
from treemanager import TreeManager
from grammar_parser.gparser import MagicTerminal
from utils import KEY_UP as UP, KEY_DOWN as DOWN, KEY_LEFT as LEFT, KEY_RIGHT as RIGHT
from grammars.grammars import EcoFile
import pytest
calc = lang_dict["Basic Calculator"]
python = lang_dic... |
"""
A test spanning all the capabilities of all the serializers.
This class sets up a model for each model field type
(except for image types, because of the Pillow dependency).
"""
from django.db import models
from django.contrib.contenttypes.fields import (
GenericForeignKey, GenericRelation
)
from django.contri... |
import adventure
import json
if __name__ == '__main__':
# load configure file
config_file = open("config/config.json", "r")
config_obj = json.load(config_file)
instance = adventure.default;
instance.init(config_obj)
instance.start()
|
# from bottle import run
import requests
import csv
def send():
while True:
print("Enter number")
number = input()
xml = f"<?xml version='1.0' encoding='utf-8'?><data>{number}</data>"
headers = {"Content-Type": "application/xml"} # set what your server accepts
response = r... |
n = int(input("Digite o n-ésimo termo para mostra a série de Fibonaci: "))
a = 0
b = 1
print(a)
for x in range(b, n):
c = a
a = b
b = a + c
print(a)
|
from django.db import models
from applications.utils.models import Language
class Information(Language):
full_name = models.CharField(max_length=150)
phone = models.CharField(max_length=20, blank=True, null=True)
website = models.URLField(blank=True, null=True)
email = models.EmailField(blank=True, n... |
import uuid
from abc import ABCMeta, abstractmethod
class Recording(object):
"""
Holds a recording of an operation that was recorded using the TapeRecorder
"""
__metaclass__ = ABCMeta
def __init__(self, _id=None):
self.id = _id or uuid.uuid1().hex
self._closed = False
@abstr... |
import cv2
import yaml
class parkingSpaceBoundary:
def __init__(self, img, file):
self.image = img
self.filePath = file
self.parkingSpace = []
self.id = 1
data = []
def dumpYML(self):
with open(self.filePath, "a") as yml:
yaml.dump(self.data, yml)
... |
'''
The bulk of this program is based off of the sample code that Instagram put out to run their API
the myInfo section was written by Tim
with minor modifications in the models.py so that the username and id number could be shown to the user
To run it:
* Download bottle if you don't already have it: pip install bo... |
#!/usr/bin/env python
# SPDX-License-Identifier: Apache-2.0
#
# The OpenSearch Contributors require contributions made to
# this file be licensed under the Apache-2.0 license or a
# compatible open source license.
import logging
import os
from build_workflow.build_args import BuildArgs
from build_workflow.build_reco... |
import frappe
class TallyImportCurrencyItems:
def __init__(self, value, ow):
self.currency_table_map = { 'MAILINGNAME' : 'name',
'DECIMALSYMBOL' : 'fraction',
'ORIGINALNAME' : 'symbol'
}
self.overwrite = ow
self.process_node = value... |
from flask import current_app, _app_ctx_stack
import flask_login
from flaskloginintegration import _user_loader, User
from views import login_views
class ZKPP(object):
def __init__(self, app=None, login_manager=flask_login.LoginManager()):
self.app = app
self.login_manager = login_manager
... |
# -*- coding: utf-8 -*-
import json
from geventwebsocket.exceptions import WebSocketError
from putils.patterns import Singleton
import re
import logging
logger = logging.getLogger(__name__)
class Router(Singleton):
CONNECTED = "router_connected"
DISCONNECTED = "router_disconnected"
def __init__(self, server):
s... |
import hashlib
import os
from contextlib import contextmanager
from pathlib import Path
from tempfile import NamedTemporaryFile
__all__ = ["inplace", "assert_file_exist", "file_hash"]
@contextmanager
def inplace(filepath: Path):
folder = filepath.parents[0]
name = filepath.name
success = True
try:
... |
# -*- coding: utf-8 -*-
from typing import Optional
import os
from matminer.data_retrieval.retrieve_Citrine import CitrineDataRetrieval
import pandas as pd
import numpy as np
from pathlib import Path
from tqdm import tqdm
from src.data.utils import countSimilarEntriesWithMP, LOG
from src.data import get_data_base
clas... |
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