content stringlengths 5 1.05M |
|---|
def plot_precision_recall_n(y_true, y_prob, model_name):
# Weird because precision & recall curves have n_thresholds + 1 values. Their last values are fixed so throw away last value.
y_score = y_prob
from sklearn.metrics import precision_recall_curve
precision_curve, recall_curve, pr_thresholds = precision_recall_c... |
# This code is under BSD license. See license-bsd.txt
import sys, os, os.path, subprocess
import zipfile
from fabric.api import *
from fabric.contrib import *
# TODO: could also automate the following:
# - if /etc/nginx/sites-available/apptranslator doesn't exist,
# copy scripts/nginx.conf as /etc/nginx/sites-avail... |
from uuid import uuid4
from hazelcast import future
from hazelcast.protocol.codec import executor_service_submit_to_address_codec, executor_service_shutdown_codec, \
executor_service_is_shutdown_codec, executor_service_cancel_on_address_codec, \
executor_service_cancel_on_partition_codec, executor_service_submi... |
from prime_check import isprime
list = []
for num in range(10,1000000):
next = True
for i in range(1,1+len(str(num))):
str_n = ''
for j in range(1,i+1):
str_n += str(num)[j-1]
if not isprime(int(str_n)):
next = False
break... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Released under the MIT license (http://choosealicense.com/licenses/mit/).
# For more information see https://github.com/rblankley/rpi-grove/blob/master/LICENSE
#
from enum import Enum
from i2c_device import I2C_Device
from grove_ports import Grove_Analog_Port, Grove_D... |
# -*- coding: utf8 -*-
# Copyright (c) 2019 Niklas Rosenstein
#
# 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 Software without restriction, including without limitation the
# rights to use, copy, mo... |
#!/usr/bin/env python3
# coding: utf-8
import os
def get_path(p):
return os.path.join(os.path.dirname(__file__), p)
TEST_CFG = get_path("test_data/test_config.ini")
TEST_CFG_MULTITASK = get_path("test_data/test_config_multitask.ini")
TEST_JSONL = get_path("test_data/test_jsonl.jsonl")
TEST_REFERENCES = get_pat... |
import pytest
import torch
from torch.autograd import gradcheck
from torch.testing import assert_allclose
from kornia import enhance
from kornia.testing import tensor_to_gradcheck_var, BaseTester
class TestEqualization(BaseTester):
def test_smoke(self, device, dtype):
C, H, W = 1, 10, 20
img = t... |
#
# serialize.py
#
# Distributed under the MIT/X11 software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
#
import struct
import hashlib
def deser_string(f):
nit = struct.unpack("<B", f.read(1))[0]
if nit == 253:
nit = struct.unpack("<H", f.read(2))[0]
elif ... |
# Autogenerated file.
from .client import MotionClient # type: ignore
|
import subprocess
def get_output(cmd):
ret = ''
try:
ret = subprocess.check_output(cmd.split()).decode('utf-8')
except subprocess.CalledProcessError: # pragma: no cover
pass
return ret
class Format(object):
BOLD = get_output('tput bold')
RESET = get_output('tput sgr0')
... |
# 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 by applicable law or agreed to in... |
import os
from collections import OrderedDict
from numbers import Number
import skimage
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
from flatten_dict import flatten
from softlearning.models.utils import flatten_input_structure
from .rl_algorithm import RLAlgorithm
from softlearning... |
# We represent an n-bit string --- that is, an element of {0, 1}^n --- in Python as a tuple of 0s and 1s.
def string(n, m):
'''Converts a non-negative Python integer m to its corresponding bit string. As necessary, pads with leading 0s to bring the number of bits up to n.'''
s = ()
while m >= 1:
... |
# import picamera
from django.conf import settings
from pyfirmata import Arduino, util
class Car:
def __init__(self):
self._board = None
# пины тягового двигателя
self._pull_direction_pin = settings.PIN_H1
self._pull_force_pin = settings.PIN_E1
# пины руля
self._ru... |
#!/usr/bin/env python
# $Id$
"""
? solutions
"""
import puzzler
from puzzler.puzzles.tetrasticks import OneSidedTetrasticks8x8ClippedCorners2
puzzler.run(OneSidedTetrasticks8x8ClippedCorners2)
|
'''
You are given an n x n 2D matrix representing an image,
rotate the image by 90 degrees (clockwise).
You have to rotate the image in-place, which means you
have to modify the input 2D matrix directly. DO NOT
allocate another 2D matrix and do the rotation.
Example:
[[1,2,3], ... |
from . import tar
from . import zip
from . import lha
from . import rar
from . import cab
from . import szip
|
# The Nexus software is licensed under the BSD 2-Clause license.
#
# You should have recieved a copy of this license with the software.
# If you did not, you can find one at the following link.
#
# http://opensource.org/licenses/bsd-license.php
import apsw, traceback
from collections import deque
from threading impor... |
#!/usr/bin/env python3
import re
import subprocess
import sys
from typing import List, NoReturn, Optional, Tuple
python_version: Tuple[int, int] = (3, 9)
cmake_version: Tuple[int, int] = (3, 14)
arduino_cli_version: Tuple[int, int] = (0, 19)
python_version_pattern: re.Pattern = re.compile(
r"Python (?P<version>[... |
"""
Sample data from NCNR-NG7.
This data from July, 2004, measures water with various concentrations
for D2O on quartz. The particular data sets contain 20% D2O.
TODO: Confirm this is correct by looking in log books!
"""
import numpy, os
import reflectometry.reduction as reflred
PATH = os.path.dirname(os.path.real... |
#contains classes and tools to get py file elements by inspection.
import types
import inspect
class module_tools(object):
#class that handles basic functions of python module
def get_py(name):
mod = __import__(name)
return mod
def get_source(name):
mod = __import__(name)
r... |
class Solution:
def main(self):
n = int(input())
coin_list = list(map(int, input().split()))
m = int(input())
dp = [1]+[0]*(m)
for coin in coin_list:
for i in range(coin, m+1):
# dp[i]: 이번 coin을 안쓰고 만들 수 있는 경우의 수
# dp[i-c... |
# age should be between 18 and 65
age = 22
# if age >= 18 and age < 65:
if 18 <= age < 65:
print("Eligible")
|
import re
import json
from flask import request
from sqlalchemy import tuple_, or_, select, text, func
from vardb.datamodel import (
sample,
assessment,
allele,
gene,
workflow,
annotationshadow,
user as user_model,
)
from api import schemas
from api.v1.resource import LogRequestResource
fro... |
#!/usr/bin/python
import re, sys, os
from bs4 import BeautifulSoup
import simplejson as json
import argparse
from htmltoken import tokenize
import cgi
import util
import io
def genescaped(text):
"""All tokens in TEXT with any odd characters (such as <>&) encoded using HTML escaping"""
for tok in tokenize(text... |
from eth_utils import to_canonical_address, to_checksum_address
from raiden.constants import UINT256_MAX
from raiden.transfer.architecture import (
ContractSendEvent,
ContractSendExpirableEvent,
Event,
SendMessageEvent,
)
from raiden.transfer.state import BalanceProofSignedState
from raiden.utils impor... |
import re
from collections import namedtuple
from typing import Dict, List
import requests
from bs4 import BeautifulSoup
from bs4.element import Tag
BASE_URL = "https://mugen.spriteclub.tv"
character_cache = {}
CharacterStats = namedtuple("CharacterStats", ("health", "power", "attack", "defense"))
CharacterRecord =... |
"""
Reference implementation for the Frostbyte smart contract protocol.
"""
import argparse
# # https://rich.readthedocs.io/en/latest/
# from rich import box
# from rich.console import Console
# from rich.panel import Panel
def frostbyte() -> None:
"""
Script for the `frostbyte` command.
"""
... |
# -*- coding: utf-8 -*-
class Solution:
def flipAndInvertImage(self, A):
return [[1 - el for el in row[::-1]] for row in A]
if __name__ == '__main__':
solution = Solution()
assert [
[1, 0, 0],
[0, 1, 0],
[1, 1, 1],
] == solution.flipAndInvertImage([
[1, 1, 0]... |
# -*- coding: utf-8 -*-
import os
from flask import abort, render_template, render_template_string, request, send_from_directory, url_for
from jinja2 import TemplateNotFound
from source import app, controller as c, model as m, pages
from flask_flatpages import pygments_style_defs
framework = app.config['PELLETRON_F... |
# ========================================================= #
import unittest
import polygon
from polygon import cred
import datetime
from requests.models import Response
import asyncio
import pytz
from httpx import Response as HttpxResponse
# ========================================================= #
# Test Runners... |
from arguments import args, parser
import csv
import numpy as np
import torch
from torchvision import transforms, datasets
import torch.backends.cudnn as cudnn
#################### Distributed learning setting #######################
import torch.distributed as dist
import torch.multiprocessing as mp
import torch.util... |
from django.urls import path
from . import views
urlpatterns = [
path("", views.store, name="store"),
path("<slug:category_slug>/", views.store, name="products_by_category"),
path("<slug:category_slug>/<slug:product_slug>/", views.product_detail, name="product_detail"),
]
|
import re
import requests
from scrapy_facebooker.faceblib.url import get_facebook_url_from_username
def get_facebook_page_id(username):
"""
Get Facebook page id
:param username: Username of the facebook page that its page id will be
fetched.
:return: Facebook page id.... |
# Copyright (c) 2019 The Zcash developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or https://www.opensource.org/licenses/mit-license.php.
#
# Common code for testing z_mergetoaddress before and after sapling activation
#
from test_framework.authproxy import JSONRPCException
f... |
#!/usr/bin/env python
"""
conference.py -- Conference server-side Python App Engine API;
uses Google Cloud Endpoints
"""
from datetime import datetime
from datetime import time
from google.appengine.api import taskqueue, urlfetch, memcache
from google.appengine.ext import ndb
from models import BooleanMessage, Da... |
# Copyright (C) 2021 Alberto Maria Metelli, Alessio Russo, and Politecnico di Milano. All rights reserved.
# Licensed under the Apache 2.0 License.
from scipy.optimize import root_scalar
import numpy as np
import matplotlib.pyplot as plt
from ..dataset.regression import ActionDist
def estimate_lambda(weights, n, del... |
# Copyright 2019-2021 ETH Zurich and the DaCe authors. All rights reserved.
""" Tests constants, optional, and keyword arguments. """
import dace
import numpy as np
import pytest
def test_kwargs():
@dace.program
def kwarg(A: dace.float64[20], kw: dace.float64[20]):
A[:] = kw + 1
A = np.random.ran... |
import numpy as np
import scipy.signal as sp
def find_template_1D(t, s):
c = sp.correlate2d(s, t, mode='valid')
raw_index = np.argmax(c)
return raw_index
s = np.array([[-1, 0, 0, 5, 1, 1, 0, 0, -1, -7, 2, 1, 0, 0, -1]])
t = np.array([[-1, -7, 2]])
print "Signal: \n {} \n {}".format(np.array(range(s.sha... |
# Programa para aproximar derivadas e integrais para funções arbitrárias numericamente.
def approx_derivative(f, x, delta=1e-6):
return (f(x + delta) - f(x - delta)) / (2 * delta)
def approx_derivative_2(f, delta = 1e-6):
return lambda x: (f(x + delta) - f(x - delta)) / (2 * delta)
def approx_integral(f, lo,... |
import random
import pytest
from CreeDictionary.API.models import Definition, Wordform
from CreeDictionary.cvd import extract_keyed_words
from CreeDictionary.cvd.definition_keys import (
definition_to_cvd_key,
cvd_key_to_wordform_query,
)
FAKE_WORD_SET = {"loose", "leaf", "paper", "news_paper", "you're", "th... |
# Brute Force: O(n ** 2)
def get_pair(data, k):
for i in xrange(len(data)):
for j in xrange(i + 1, len(data)):
if data[i] + data[j] == k:
return data[i], data[j]
return "NA"
# Sorting: O(nlogn)
def get_pair_sorting(data, k):
data.sort()
l = 0
r = len(data) - 1
... |
import unittest
import os
import tarfile
import torch
from ruamel.yaml import YAML
from nemo.core.neural_types import *
from .context import nemo, nemo_asr
from .common_setup import NeMoUnitTest
class TestZeroDL(NeMoUnitTest):
labels = ["'", "a", "b", "c", "d", "e", "f", "g", "h",
"i", "j", "k", "l... |
#!/usr/bin/env python3
""" absb_instr.py
Implementation of ABSB format instructions.
"""
from pyvex.lifting.util import Type, Instruction
import bitstring
from .logger import log_this
class ABSB_ST_T_Inst(Instruction):
""" Store Bit instruction:
op = 0xD5
op2 = 0x00 (2-bit)
User Status Fl... |
from .geojson_to_shp import geojson_to_shp
from .shp_to_geojson import shp_to_geojson
|
# coding: utf-8
"""
App Center Client
Microsoft Visual Studio App Center API # noqa: E501
OpenAPI spec version: preview
Contact: benedetto.abbenanti@gmail.com
Project Repository: https://github.com/b3nab/appcenter-sdks
"""
from __future__ import absolute_import
import re # noqa: F401
# pytho... |
import ham_package.ham_module
import eggs_package.eggs_module
import spam_package.spam_module
ham_package.ham_module.ham()
eggs_package.eggs_module.eggs()
spam_package.spam_module.spam()
|
'''
Three different types of search
'''
def simpleSearch(query,inverted_index):
if query not in inverted_index:
return 'No Results'
#get the list from inverted dictionary
results = inverted_index[query]
#remove the repeat name
sorted_result = list(set(results))
#dictionary to store ... |
"""
Module définissant les **Exception** du moteur de l'intelligence
artificielle et des stratégies.
"""
class StopPlayerError(Exception):
"""
Est levée si le moteur est incapable d'envoyer la commande pour arrêter
les joueurs.
"""
pass
|
'''
Задание Ultra Lite
1. В master создать несколько своих модулей
2. Создать новую ветку
3. Написать в новой ветке различные способы импорта модулей и импорта функций
4. Сделать commit, push, pull-request
'''
def fun1_1():
print('module1 func 1')
def fun1_2():
print('module1 func 2') |
from ..grpc_gen.common_pb2 import ConsistencyLevel
LOGICAL_BITS = 18
LOGICAL_BITS_MASK = (1 << LOGICAL_BITS) - 1
EVENTUALLY_TS = 1
BOUNDED_TS = 2
DEFAULT_CONSISTENCY_LEVEL = ConsistencyLevel.Bounded
|
import os
import shutil
import tarfile
import urllib.request as request
from contextlib import closing
from glob import glob
from io import StringIO
from os.path import join
import numpy as np
import pandas as pd
from tqdm import tqdm
DST = "../pgs_data"
LIST = join(DST, "pgs_scores_list.txt")
# urls:
LIST_FILE = "h... |
import argparse
import os
import re
import sys
import codecs
import tempfile
from subprocess import Popen, PIPE, call
def println(msg):
sys.stdout.write(msg)
sys.stdout.write('\n')
sys.stdout.flush()
return msg
class Runner:
pass_count = 0
fail_count = 0
stop_on_fail = False
results ... |
# Acesso as elementos da tupla
numeros = 1,2,3,5,7,11
print(numeros[0])
print(numeros[1])
print(numeros[2])
print(numeros[3])
print(numeros[4])
print(numeros[5]) |
'''
Created on Feb 29, 2012
@author: mchrzanowski
'''
from time import time
NUMBER_LIMIT = 10
SOLUTION_SIZE = 16
GON_NUMBER = NUMBER_LIMIT / 2
def initializeSummationDict():
''' create all possible combinations of all possible totals using 3 numbers from 1..NUMBER_LIMIT'''
summationDict = {}
for i in xr... |
import numpy as np
from scipy.integrate import quad
from scipy.stats import norm
import torch
import torch.nn as nn
def _calc_fan_in_out(layer):
if isinstance(layer, nn.Linear):
fan_in = layer.weight.shape[1]
fan_out = layer.weight.shape[0]
return (fan_in, fan_out)
if isinstance(layer, nn.Conv2d):
... |
from myhdl import *
from unittest import TestCase
from ovenbird import *
class VivadoVectorOr(VivadoIP):
def __init__(self):
port_mappings = {
'in_A': (intbv(0)[8:], PortDirection.input, 'Op1'),
'in_B': (intbv(0)[8:], PortDirection.input, 'Op2'),
'output': (intbv(0)[... |
import sys
import PyFBA
def suggest_reactions_without_proteins(reactions, verbose=False):
"""
Identify a set of reactions that don't have any proteins associated with them.
It is generally a bad idea to add all of these to your model since there are about 30,000 and they will probably
break your com... |
# extract_field_from_characterization_xml.py
from xml.etree import ElementTree
def extract_field_from_characterization_xml(characterization_string: str, field_to_extract: str) -> str:
""" Extract a field from the XML characterization given the full path of the field_to_extract """
characterization_string = _s... |
# (C) Datadog, Inc. 2019-present
# All rights reserved
# Licensed under Simplified BSD License (see LICENSE)
import logging
import pytest
from mock import MagicMock, patch
from pyVmomi import vim
from six import iteritems
from datadog_checks.vsphere.api_rest import VSphereRestAPI
from datadog_checks.vsphere.cache imp... |
#!/usr/bin/env python3
import os
import re
import setuptools
def get_version():
root = os.path.dirname(os.path.abspath(__file__))
init = open(os.path.join(root, "check_dep_updates", "__init__.py")).read()
return re.compile(r"""__version__ = ['"]([0-9.]+.*)['"]""").search(init).group(1)
setuptools.setu... |
import importlib
import pkgutil
from contextlib import (
suppress,
)
from functools import (
lru_cache,
)
from types import (
ModuleType,
)
from typing import (
Callable,
Union,
)
from .exceptions import (
MinosImportException,
)
@lru_cache()
def import_module(module_name: str) -> Union[type,... |
"""
https://www.codewars.com/kata/5f3142b3a28d9b002ef58f5e
Return the word pattern for a given word.
All words provided will be non-empty strings of alphabetic characters only, i.e. matching the regex "[a-zA-Z]+".
example, the word "hello" would become "0.1.2.2.3"
A word pattern is a description of the patterns of l... |
from django.shortcuts import render, redirect
from django.views.decorators.http import require_POST
from django.views.decorators.clickjacking import xframe_options_exempt
#from django.http import HttpResponseRedirect
import requests
from .models import Todo
from .forms import TodoForm
@xframe_options_exempt
def ind... |
from decimal import Decimal
from django.db import models
from django.template.defaultfilters import slugify
from django.utils.translation import ugettext as _
from django.conf import settings
class AbstractSource(models.Model):
"""
A source of payment for an order.
This is normally a credit card w... |
# +
import pandas as pd
class PandasUtils:
def __init__(self):
self.df = {}
def read_excel(self, alias, filename):
self.df[alias] = pd.read_excel(filename)
def write_excel(self, alias, filename):
self.df[alias].to_excel(filename, index = False)
def filter_by_column_g... |
# ----------------------------------------------------------------------
# /mon path
# ----------------------------------------------------------------------
# Copyright (C) 2007-2020 The NOC Project
# See LICENSE for details
# ----------------------------------------------------------------------
# Third-party module... |
import torch
from inference import control_variate
class ELBO:
def __init__(self, config, model, variational):
self.config = config
self.p_z = model
self.q_z = variational
@torch.no_grad()
def compute_objective(self):
cfg = self.config
z = self.q_z.sample(cfg.num_samples_print)
spins = ... |
from PIL import Image
import numpy as np
import cv2
class DeHaze():
def __init__(self,omega=0.8, k_size=9, model='origin'):
self.omega = omega
self.ksize = k_size
self.model = model
return
def atmosphere(self, img: Image): #calculate the atmospheric light in this paper
... |
import numpy as np
import cv2
from covidxpert.counter_rotate.get_lines_based_rotation import get_lines_based_rotation, normalize_angle
from covidxpert.utils import compute_linear_coefficients
def test_get_rotation():
lines = [
((250, 0), (250, 500)),
((240, 0), (250, 500)),
((240, 0), (260... |
# adapted from https://github.com/maria-antoniak/goodreads-scraper
# only scrapes top genres for books
import argparse
from datetime import datetime
import json
import os
import re
import time
from urllib.request import urlopen
from urllib.error import HTTPError
import bs4
import pandas as pd
def get_all_lists(soup... |
from nanome_rmsd import RMSD
if __name__ == "__main__":
RMSD.main()
|
import random
import time
import countdowntourney
import htmlform
import cgi
import gencommon
import fixgen
name = "Random Pairings/Groups"
description = """Randomly assign players to tables, avoiding rematches if
required. Prunes, if any, are placed on the highest numbered tables and are
kept separate from each other... |
import os
import sys
import types
from . import common
from . import overrides
from . import _girepository
# major python version
if sys.version_info[0] == 2:
PY2, PY3 = True, False
elif sys.version_info[0] == 3:
PY2, PY3 = False, True
# cache used for modules and classes
_pygirepository = None
_pygirepository_modu... |
import unittest
import numpy as np
import numpy.testing as npt
from vector_quantization.codebooks import random_codebook
class TestRandomCodebook(unittest.TestCase):
def test_random_codebook(self):
vectors = np.array([[1, 1], [2, 2], [1, 1], [3, 3], [4, 4], [1, 1]])
codebook = random_codebook(vec... |
import argparse
import json
import urllib3
import xml.etree.ElementTree as ET
def cli_args():
parser = argparse.ArgumentParser()
parser.add_argument(
'--label-file',
required=True,
help='Path to the label file which will be inserted the checker '
'documentation URLs.')
... |
# coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# 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 applicab... |
# Copyright (c) 2021 JannesM
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
from primitives.Transaction import Transaction, Input, Output
import base64
array_flag = b'\xFF'
tx_flag = b'\x10'
tx_in = b'\x11'
tx_out = b'\x12'
... |
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing... |
from flask_login import current_user, login_required
from srcode.community import community
@login_required
@community.route('/' , subdomain = 'community')
def community():
return '<h1>Commmmity </h1>' |
import math
import os
import traceback
import numpy as np
import tensorflow as tf
from bage_utils.date_util import DateUtil
from bage_utils.num_util import NumUtil
from bage_utils.timer_util import TimerUtil
from bage_utils.watch_util import WatchUtil
from nlp4kor_tensorflow.config import SAMPLE_DATA_DIR, TENSORBOARD... |
import socket
import sys
import os
from colorama import Fore, Style
top_1000 = [1,3,4,6,7,9,13,17,19,20,21,22,23,24,25,26,30,32,33,37,42,43,
49,53,70,79,80,81,82,83,84,85,88,89,90,99,100,106,109,110,111,
113,119,125,135,139,143,144,146,161,163,179,199,211,212,222,254,
255,256,259,2... |
#!/usr/bin/python3
### Author: Vinoth Manoharan, Zoho Corp
### Language : Python
### Tested in Ubuntu
### Plugin for getting the metrics of node in a cluster
### For more info refer,
### https://hadoop.apache.org/docs/r2.6.0/hadoop-yarn/hadoop-yarn-site/ResourceManagerRest.html#Cluster_Node_API
import urllib.request,... |
from .style_transfer import *
|
for number in range(3): # excludes 3
print(number, "Attempt", (number) * "*")
# 0 Attempt
# 1 Attempt *
# 2 Attempt **
|
# Copyright (c) 2011-2016 Cisco Systems, 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
#
# Unl... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import operator
import unittest
import beanmachine.ppl as bm
import torch
from beanmachine.ppl.inference import BMGInference
from torch imp... |
import numpy as np
from svc_sdss import pack_specobjid
from svc_sdss import unpack_specobjid
DEBUG = False
def test_sdss ():
'''
'''
id1 = np.array([4565636362342079488,
4565636637219987456,
4566762812004657152,
6439153884405714944], dtype=np... |
import os
from doit.tools import create_folder
OUTPUT_PATH = "output"
def task_test():
'''Performs tests'''
return {
'targets': ['output/heat-pump.png'],
'actions': [
(create_folder, [OUTPUT_PATH]),
'pytest -v test'],
'clean': True
}
def task_examples():
'''Run examples'''
return {
... |
from datetime import datetime
import json
from time import time
from django.core.checks import messages
from django.http import JsonResponse, FileResponse, request
from django.http.response import HttpResponse
from django.views.generic import View
from django.utils import timezone
from django.db.models import Q, F, Avg... |
import sys
# print(sys.argv)
# old_str = sys.argv[1]
# new_str = sys.argv[2]
# filename = sys.argv[3]
print(sys.argv)
old_str = sys.argv[1]
new_str = sys.argv[2]
filename = sys.argv[3]
#load into the ram
f = open(filename,"r+",encoding="utf-8")
data = f.read()
# count and replace
old_str_count = data.count(old_str)
... |
from reddit_oauth import RedditApp
import json
import requests
from pathlib import Path
def create_example_credentials(credential_file):
with credential_file.open("w") as f:
json.dump({
"client_id": "CLIENT ID GOES HERE!",
"client_secret": "CLIENT SECRET GOES HERE!",
"r... |
import test1
def test():
test1.x += 1
print(test1.x) |
# encoding: UTF-8
import re;
spacere = re.compile("[ ]{2,}");
spacern = re.compile("(^\r\n?)|(\r\n?$)")
def getkeys(generator):
count=0;
s=set();
for r in generator:
s=s|r.keys();
count+=1;
if count>=20:
return list(s);
return list(s)
def ReplaceLongSpace(txt):
... |
from flask import request, jsonify, make_response, render_template
from utils import Utils, HexJsonEncoder, JSONEncoder
from utils import tx_to_json, allowed_file, read_excel
from flask.views import MethodView
import json
import os
from werkzeug.utils import secure_filename
class GetRecords(MethodView):
def __ini... |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 26 13:16:31 2017
@author: vikuo
"""
from sklearn import datasets
import matplotlib.pyplot as plt
import numpy as np
import random
def load_data():
boston = datasets.load_boston()
X = boston.data
#506 row, 13 columns
#print X.shape... |
"""Error classes for package."""
class ComparatorError(Exception):
"""General Comparator error."""
class SpreadsheetError(Exception):
"""General Spreadsheet error."""
class XlsformError(Exception):
"""General Xlsform error."""
class QlangError(Exception):
"""General Qlang error."""
class Casca... |
#!/usr/bin/env python
#Ros utilites
import threading
import rospy
from geometry_msgs.msg import Point, Pose, Quaternion, Twist
from sensor_msgs.msg import Image, CompressedImage, Imu
from std_msgs.msg import Empty
from tello_msgs.msg import FlightData
from cv_bridge import CvBridge, CvBridgeError
from nav_msgs.msg imp... |
from engine.core.DebtAnalysisAggregate import DebtAnalysisAggregate
import unittest
import pandas as pd
class DebtAnalysisAggregateTest(unittest.TestCase):
def test_generate_monthly_pivot(self):
r = DebtAnalysisAggregate.mean_x(pd.Series([0, 6, 4 , 0]))
self.assertEquals(5, r)
r ... |
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