id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
3275432 | import numpy as np
import time
import matplotlib.pyplot as plt
import pandas as pd
import json
# get gekko package with:
# pip install gekko
from gekko import GEKKO
# get tclab package with:
# pip install tclab
from tclab import TCLab
# Connect to Arduino
a = TCLab()
# Make an MP4 animation?
make_mp4 = False
if m... |
3275481 | env = [
[8, 2],
[8, 3],
[8, 4],
[16, 0],
[16, 1],
[16, 3],
[16, 4],
[32, 0],
[32, 1],
[32, 2],
[32, 3]
]
import unittest
from math import *
from PySigmoid import Posit, Quire, set_posit_env, Math
class TestTrig(unittest.TestCase):
def test_small_sin(self):
st... |
3275585 | from __future__ import absolute_import
# flake8: noqa
# import apis into api package
from yapily.api.accounts_api import AccountsApi
from yapily.api.application_api import ApplicationApi
from yapily.api.application_users_api import ApplicationUsersApi
from yapily.api.balances_api import BalancesApi
from yapily.api.ca... |
3275609 | import asyncio
import json
from urllib.parse import urljoin
import websockets
from jigu.error import RpcError, get_rpc_error
from jigu.util import hash_amino
from jigu.util.serdes import JiguBox
class WebSocketClient(object):
def __init__(self, terra, ws_url: str = "", ssl_context=None):
self.terra = te... |
3275612 | from urllib.parse import unquote
from common.repository import Repository
from common.logger import get_logger
from common.utils import Utils, generate_lambda_response, handle_exception_with_slack_notification
from contract_api.config import NETWORKS, NETWORK_ID, SLACK_HOOK
from contract_api.registry import Registry
... |
3275640 | from mayan.apps.rest_api import generics
from .permissions import (
permission_message_create, permission_message_delete,
permission_message_edit, permission_message_view
)
from .serializers import MessageSerializer
class APIMessageDetailView(generics.RetrieveUpdateDestroyAPIView):
"""
delete: Delete... |
3275666 | import tensorflow as tf
def get_var_wrap(name,
shape,
initializer,
regularizer,
trainable,
cpu_variable):
if cpu_variable:
with tf.device('/cpu:0'):
return tf.get_variable(name,
... |
3275670 | import os
import time
import datetime
from PIL import Image
log_path = 'G:/PGGAN_face/log.txt'
resize_x = 256
resize_y = 256
def transimg(inputfolder,outputfolder):
names = os.listdir(inputfolder)
nameslen = len(names)
print('# of file in {} is : {}'.format(inputfolder,nameslen))
pngcount = 0
notp... |
3275707 | class NumbersError(Exception):
"""Base class for other exceptions"""
pass
class UnsupportedError(NumbersError):
"""Raised for unsupported file format features"""
pass
class NotImplementedError(NumbersError):
"""Raised for missing Protobufs"""
pass
class FileError(NumbersError):
"""R... |
3275718 | from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
from ..versioning import Version, VersionSpec
from ..url import URL, get_domain, urlencode
from ..compat import (
text_type,
py2bytes,
string_types,
int_types,
number_types,
unic... |
3275752 | from django.conf.urls import url
urlpatterns = [
url(r'^list/$', 'screenshots_listing', prefix='crits.screenshots.views'),
url(r'^list/(?P<option>\S+)/$', 'screenshots_listing', prefix='crits.screenshots.views'),
url(r'^add/$', 'add_new_screenshot', prefix='crits.screenshots.views'),
url(r'^find/$', 'f... |
3275756 | import pytest
from waio.keyboard.reply import QuickReply, QuickReplyContentText, KeyboardButton, QuickReplyContentImage
def test_reply_keyboard_text():
kb_content = QuickReplyContentText(
header="this is the header",
text="this is the body",
caption="this is the footer"
)
kb = Quic... |
3275780 | from yowsup.structs import ProtocolEntity, ProtocolTreeNode
from .notification import NotificationProtocolEntity
class StatusNotificationProtocolEntity(NotificationProtocolEntity):
'''
<notification offline="0" id="{{NOTIFICATION_ID}}" notify="{{NOTIFY_NAME}}" type="status"
t="{{TIMESTAMP}}" from="... |
3275793 | import os
import time
import unittest
import threading
try:
from urllib.request import urlopen
except ImportError:
from urllib2 import urlopen
from .mixins import BallotAPITestMixin
import ballotapi.utils.db
import ballotapi.runserver
class CommandlineTestCase(BallotAPITestMixin, unittest.TestCase):
def ... |
3275822 | class PekerjaTambang:
# protected variabel
_nama = None
_jabatan = None
# membuat konstruktor
def __init__(self, nama, jabatan):
self._nama = nama
self._jabatan = jabatan
# membuat fungsi protected
def _menampilkan(self):
print("jabatan: ", self._jabatan)
# kelas ... |
3275839 | from __future__ import absolute_import
import signal
# Ctrl + C to quit
# https://gist.github.com/lechup/d886e89490b2f6c737d7#comment-1253485
import gevent.monkey
gevent.monkey.patch_all()
import gevent
import gevent.pool
from rq import Worker
from rq.timeouts import BaseDeathPenalty, JobTimeoutException
from rq.wor... |
3275848 | import numpy as np
import pandas as pd
# from scipy.stats import gamma
np.random.seed(181336)
number_regions = 5
number_strata = 10
number_units = 5000
units = np.linspace(0, number_units - 1, number_units, dtype="int16") + 10 * number_units
units = units.astype("str")
sample = pd.DataFrame(units)
sample.rename(c... |
3275855 | import collections
from supriya.enums import CalculationRate
from supriya.ugens.PV_ChainUGen import PV_ChainUGen
class FFTTrigger(PV_ChainUGen):
"""
::
>>> ffttrigger = supriya.ugens.FFTTrigger.ar(
... buffer_id=buffer_id,
... hop=0.5,
... polar=0,
... ... |
3275884 | import os
import h5py
import math
import copy
from tqdm import tqdm
import torch
import torch.nn as nn
import itertools
from torch.utils.data import DataLoader
import torch.optim as optim
from torch.utils.tensorboard import SummaryWriter
import numpy as np
import skimage.io as skio
import utils.io as io
from utils.con... |
3275917 | from types import SimpleNamespace
COLORS_DICT = {
"blue_light": "#CADEF7",
"blue": "#29335C",
"blue_dark": "#0A2342",
"green": "#297373",
"yellow": "#E8C547",
"red": "#E4572E",
"red_dark": "#92140C",
"grey": "#CDD1C4"
}
colors = SimpleNamespace(**COLORS_DICT)
|
3275934 | import pytest
from chains.services import MessageSender
pytestmark = [pytest.mark.django_db]
@pytest.fixture
def message_sender():
return MessageSender
@pytest.fixture(autouse=True)
def owl(mocker):
return mocker.patch('app.tasks.mail.TemplOwl')
|
3275958 | import logging
import os
import numpy as np
import torch
import torch.nn.functional as F
from torch.autograd import Variable
from tasks.config import cfg
from pdb import set_trace as pause
logger = logging.getLogger(__name__)
def clip_gradient(model, clip_norm):
"""Computes a gradient clipping coefficient bas... |
3275959 | from typing import List
from backend.common.cache_clearing import get_affected_queries
from backend.common.manipulators.manipulator_base import ManipulatorBase
from backend.common.models.cached_model import TAffectedReferences
from backend.common.models.event_team import EventTeam
class EventTeamManipulator(Manipula... |
3275995 | import codecs
import re
import sys
def quote(s):
return '"' + s + '"'
title = re.compile(u'(.*) \((.*) (\\d*)\)$')
def split_title(doc):
m = title.match(doc)
return [m.group(3),quote(m.group(2)),quote(m.group(1))]
def run(docs,gammas,topic,num_papers):
print "Showing top " + str(num_papers) + " pape... |
3276013 | from restaurant import Restaurant
channel_club = Restaurant('the channel club', 'steak and seafood')
channel_club.describe_restaurant()
channel_club.open_restaurant() |
3276015 | from setuptools import setup
setup(
name='fauxtograph',
version='1.0.3',
author='<NAME>',
author_email='<EMAIL>',
license='MIT',
description='Python module for training unsupervised deep, generative models on images.',
packages=['fauxtograph'],
long_description='Python module for traini... |
3276044 | from write_tfrecords import write_seg_data_to_tfrecords, load_name
from read_data import DataReader
import os
import random
data_path = "D:/data/MPI-FAUST_training/normalized/reg_dataset/"
label_path = "D:/data/MPI-FAUST_training/normalized/matching_labels/"
output_path = "D:/data/MPI-FAUST_training/normalized/"
tra... |
3276128 | import os
from PIL import Image
import glob
import numpy as np
from utils import make_folder
color_list = [[0, 0, 0], [204, 0, 0], [76, 153, 0], [204, 204, 0], [51, 51, 255], [204, 0, 204], [0, 255, 255], [255, 204, 204], [102, 51, 0], [255, 0, 0], [102, 204, 0], [255, 255, 0], [0, 0, 153], [0, 0, 204], [255, 51, 153],... |
3276143 | import json
from django.utils.dateformat import DateFormat
from seahub.share.models import UploadLinkShare
from seahub.test_utils import BaseTestCase
class SharedUploadLinksTest(BaseTestCase):
def tearDown(self):
self.remove_repo()
def test_can_list(self):
ls = UploadLinkShare.objects.create... |
3276146 | threemul = [value*3 for value in range(1,7)]
print(threemul)
threechu = [value/3 for value in range(3,31)]
print(threechu) |
3276163 | import torch
from torch.nn import functional as F
class WSDDNLossComputation(object):
"""
Computes the loss for WSDDN, which is a multi-label image-level binary cross-entropy loss
"""
def __init__(self, cfg):
self.config = cfg
self.background_weight = cfg.MODEL.ROI_BOX_HEAD.LOSS_WEIGHT_... |
3276191 | from __future__ import absolute_import, print_function
import logging
import pprint
import json
from googleapiclient.discovery import build as google_build
from oauth2client.client import GoogleCredentials
from six import iteritems
from . import utils
from .s3 import events_s3
from .schema import mk_bigquery_schema
... |
3276240 | from .explicit_shooting.explicit_shooting import ExplicitShooting
from .pseudospectral.gauss_lobatto import GaussLobatto
from .pseudospectral.radau_pseudospectral import Radau
from .solve_ivp.solve_ivp import SolveIVP
|
3276342 | def test_extrapolate_coverage():
from pycobertura.utils import extrapolate_coverage
lines_w_status = [
(1, True),
(4, True),
(7, False),
(9, False),
]
assert extrapolate_coverage(lines_w_status) == [
(1, True),
(2, True),
(3, True),
(4, Tr... |
3276358 | from __future__ import unicode_literals
import json
import requests
from mock import patch, MagicMock
import django
from django.conf import settings
from django.test import TestCase, TransactionTestCase
from error.models import Error
from vault.secrets_handler import SecretsHandler
from vault.exceptions import Inva... |
3276386 | from pathlib import Path
from cfpq_data import RSM
from pyformlang.cfg import CFG
from pygraphblas import Matrix, BOOL
from src.graph.graph import Graph
from typing import Iterable, Union
from src.grammar.rsa import RecursiveAutomaton
from src.graph.label_graph import LabelGraph
from src.problems.AllPaths.algo.tensor.... |
3276464 | import json
from flask import Blueprint, Markup, render_template, request
from flask_app import WebVRConfig, get_overlay_content
from three import *
blueprint = Blueprint(__name__, __name__)
@blueprint.route('/%s' % __name__)
def cannon():
scene = Scene()
scene.add(DirectionalLight(color=0xffffff, castSh... |
3276513 | import sys
import json
from suiron.core.SuironVZ import visualize_data
from suiron.utils.file_finder import get_latest_filename
# Load image settings
with open('settings.json') as d:
SETTINGS = json.load(d)
# Visualize latest filename
filename = get_latest_filename()
# If we specified which file
if len(sys.arg... |
3276517 | import pathlib
import os
import pickle
def join(*paths):
paths = [str(path) for path in paths]
return str(pathlib.Path(*paths))
def mkdir(path):
pathlib.Path(path).mkdir(parents=True, exist_ok=True)
def exist(path):
return os.path.exists(str(path))
def parent(path):
path = pathlib.Path(path)... |
3276569 | from typing import List
class Solution:
def smallestRangeI(self, A: List[int], K: int) -> int:
a, b = max(A), min(A)
return max(a - b - 2 * K, 0)
|
3276605 | from fairness.data.objects.Data import Data
import numpy as np
import pandas as pd
import math
##############################################################################
TOTAL_ITEMS = 200
class TwoGaussians(Data):
def __init__(self, percent_pos):
Data.__init__(self)
self.dataset_name = 'two-... |
3276619 | import cv2
import numpy as np
import multiprocessing
class Consumer(multiprocessing.Process):
def __init__(self, task_queue, result_queue):
multiprocessing.Process.__init__(self)
self.task_queue = task_queue
self.result_queue = result_queue
#other initialization stuff
def run(... |
3276622 | import random
from collections import deque
import pygame
from blocks import *
import numpy as np
NUM_CHANNELS = 17
NUM_ACTIONS = 3
class SnakeStateTransition:
DX, DY = [-1, 0, 1, 0], [0, 1, 0, -1]
def __init__(self, field_size, field, num_feed, initial_head_position, initial_tail_position, initial_snake):... |
3276650 | from django.conf import settings
from django.apps import apps
from hypereditor import utils
WAGTAIL_EXISTS = apps.is_installed('wagtail.core')
HYPER_SETTINGS = {
'BLOCK_CONFIG': {},
'STYLESHEETS': [],
'IMAGE_API_URL': '#',
'AUTHENTICATION_MIXIN': 'hypereditor.views.AuthMixin'
}
utils.merge_dict(HYPER... |
3276677 | from torch.utils.data import DataLoader, TensorDataset
import torch
import numpy as np
class KSLoader():
'''
Class used for creating data loaders for the burgers equation
'''
def __init__(self, shuffle=True):
self.shuffle = shuffle
def createTrainingLoader(self, data_dir, cases, n_init... |
3276679 | import re
from django.contrib.postgres.aggregates import StringAgg
from django.forms import CheckboxSelectMultiple
from django.urls import reverse_lazy
from additional_codes import models
from common.filters import ActiveStateMixin
from common.filters import LazyMultipleChoiceFilter
from common.filters import StartYe... |
3276680 | import h5py
import pickle
import numpy as np
def load_weights():
fff = h5py.File('Mybase/mask_rcnn_coco.h5','r') #打开h5文件
#print(list(f.keys()))
mydict = {}
mydict['global_step:0'] = 1000
########res1########
dset = fff['conv1']
a = dset['conv1']
b = np.array(a['kernel:0'], dtype=np.... |
3276699 | import unittest
from pprint import pprint
from securify.grammar import Grammar
from securify.grammar.transformer import DictTransformer
from tests.grammar.grammars import simple
class DictTransformerTest(unittest.TestCase):
grammar = Grammar.from_modules(simple)
transformer = DictTransformer(
gramma... |
3276711 | from marshmallow import pre_load, validate
from marshmallow_sqlalchemy import field_for
from CTFd.models import Pages, ma
from CTFd.utils import string_types
class PageSchema(ma.ModelSchema):
class Meta:
model = Pages
include_fk = True
dump_only = ("id",)
title = field_for(
P... |
3276712 | import os, inspect, time, scipy.misc, pickle
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
PACK_PATH = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))+"/.."
def make_dir(path):
try: os.mkdir(path)
except: print("%s is already exists." %(path))
def data2... |
3276758 | from abc import ABC
import torch
import torch.nn.functional as F
class Loss(ABC):
def compute(self, *args, **kwargs):
pass
class TableLoss(Loss):
""" Compute the loss for training joint entity and relation extraction."""
def __init__(self, rel_criterion, entity_criterion, model, optimizer ... |
3276830 | import uuid
from datetime import datetime
from datahub.api.entities.datajob import DataFlow, DataJob
from datahub.api.entities.dataprocess.dataprocess_instance import (
DataProcessInstance,
InstanceRunResult,
)
from datahub.emitter.rest_emitter import DatahubRestEmitter
emitter = DatahubRestEmitter("http://lo... |
3276845 | from __future__ import division, absolute_import, print_function
from .image import *
from .midi import *
|
3276923 | import glob, os.path, time, sys
def pack():
output = open('./src/lib/shaders.js', 'wt')
files = glob.glob('./src/shaders/*.glsl')
output.write('export var shaders = {\n')
for file in files:
f = open(file, 'rt')
shader = f.read()
f.close()
var = '_'.join(os.path.basename(file).split('.')[:-1]... |
3276947 | import pytest
from .conftest import _make_step, _test_doc
def yes(from1, to1, val1, from2, to2, val2):
def inner():
step1 = _make_step(from1, to1, val1)
step2 = _make_step(from2, to2, val2)
merged = step1.merge(step2)
assert merged
assert merged.apply(_test_doc).doc.eq(
... |
3276951 | import os
import numpy as np
import torch
from torchvision import datasets, transforms
from datasets.sbmnist import load_sbmnist_image
class StackedMNIST(datasets.MNIST):
def __init__(self, root, train=True, transform=None, target_transform=None, download=False):
super().__init__(root=root, transform=tran... |
3276985 | from emulator.assembler import Assembler
SEG_INIT = {
'DS': int('0000', 16), # Initial value of data segment
'CS': int('1000', 16), # Initial value of code segment
'SS': int('0000', 16), # Initial value of stack segment
'ES': int('0000', 16) # Initial value of extra segment
}
def load_ivt(memory): #... |
3276988 | from bottle_utils.common import basestring, unicode
try:
from bottle_utils.i18n import lazy_gettext as _
except ImportError:
_ = lambda x: x
from .exceptions import ValidationError
from .validators import DateValidator
class ErrorMixin(object):
"""
Mixin class used to provide error rendering functio... |
3276990 | from .utils import iter_flatten, set_seed, get_config_from_args, \
default_argument_parser, log_args, generate_kfold, cross_validation
from .logging import setup_logger
from .get_dataset_api import get_dataset_api
|
3276994 | from logger import logger
logging = logger.getChild('sessions.gui.main')
#Graphical session
import wx
from core.sessions.session import Session
class Gui (Session):
def __init__(self, name=None, *args, **kwargs):
logging.debug("%s: Creating GUI frame." % name)
self.frame = wx.Frame(None, wx.ID_AN... |
3277003 | from protorpc import messages
class Kind(messages.Enum):
RENDERED = 1
STATIC = 2
SITEMAP = 3
class RouteMessage(messages.Message):
path = messages.StringField(1)
kind = messages.EnumField(Kind, 2)
locale = messages.StringField(3)
class Format(messages.Enum):
YAML = 1
MARKDOWN = 2
... |
3277029 | import os
import numpy as np
import cv2
from tqdm import tqdm
from utils.img_processing import read_image
from rfcn_model import RFCN_ResNet101
from trainer import RFCN_Trainer
from config import opt
from utils.vis_tool import visdom_bbox
from utils.bbox_tools import tonumpy
def predict(load_path, **kwargs):
"""... |
3277030 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pytest
from mock import Mock
from stopwatch_global import (
global_sw,
global_sw_del,
global_sw_init,
)
@pytest.fixture
def global_sw_fixture(request):
request.addfinalizer(global_sw_... |
3277045 | from statsmodels.regression.quantile_regression import QuantReg
import statsmodels.api as sm
class QuantileRegression:
"""Quantile regression wrapper
It can work on sklearn pipelines
Example
-------
>>> from sktools import QuantileRegression
>>> from sklearn.datasets import load_boston
>... |
3277052 | from submission_code.nlp_tools import tokenizer
from onmt.translate.translator import build_translator
from argparse import Namespace
import math
import os
def tokenize_eng(text):
return tokenizer.ner_tokenizer(text)[0]
def predict(invocations, model_dir, model_file, result_cnt=5):
"""
Function called... |
3277058 | print("Input: ",end="")
string = input()
def stack(s):
if (len(s) == 0):
return
x = s[-1]
s.pop()
stack(s)
print(x, end="")
s.append(x)
def min(s):
Stack = []
Stack.append(s[0])
for i in range(1, len(s)):
if (len(Stack) == 0):
Stack.append(s[... |
3277074 | from backpack.core.derivatives.flatten import FlattenDerivatives
from backpack.extensions.secondorder.hbp.hbpbase import HBPBaseModule
class HBPFlatten(HBPBaseModule):
def __init__(self):
super().__init__(derivatives=FlattenDerivatives())
|
3277148 | import demistomock as demisto
from CommonServerPython import *
def get_query(cre_name_null):
if cre_name_null == "False":
query = "SELECT *,\"CRE Name\",\"CRE Description\",CATEGORYNAME(highlevelcategory) " \
"FROM events WHERE \"CRE NAME\" <> NULL AND INOFFENSE({0}) START '{1}'"
else:... |
3277161 | import meilisearch
import structlog
from django.conf import settings
from django.core.management.base import BaseCommand
log = structlog.get_logger()
class Command(BaseCommand):
help = "Create initial MeiliSearch indexes"
def add_arguments(self, parser):
# Optional argument
parser.add_argume... |
3277250 | from utils.db.mongo_orm import *
# 类名定义 collection
class TestReportDetail(Model):
class Meta:
database = db
collection = 'testReportDetail'
# 字段
_id = ObjectIdField() # reportDetailId
reportId = ObjectIdField()
projectId = ObjectIdField()
testSuiteId = ObjectIdField()
tes... |
3277263 | from builtins import object
import re
from orderedmultidict import omdict
class GroupNotExists(Exception):
def __str__(self):
return "Group not exists"
class UserAlreadyInAGroup(Exception):
def __str__(self):
return "User already in a group"
class UserNotInAGroup(Exception):
def __s... |
3277289 | import json
import time
from abc import ABC, abstractclassmethod, abstractmethod
from pathlib import Path
from elpis.engines.common.utilities import hasher
# Design constraint
# Since there are four classes that must have their states saved to the
# operating system, this single class was made to provide some common
#... |
3277304 | class GeneralException(BaseException):
def __init__(self, resp_data):
if isinstance(resp_data, dict):
if 'detail' in resp_data:
self.err = resp_data['detail']
else:
self.err = ''.join('{} '.format(val[0]) for key, val in resp_data.items())
else... |
3277334 | import os
import unittest
import time
from measure_performance import MeasurePerformance
class MeasurePerformanceTests(unittest.TestCase):
def setUp(self):
self.filename = 'test_measure_performance.txt'
def test_get_exceeded_time_returns_correct_value(self):
meter = MeasurePerformance(self.f... |
3277342 | import sys
import ethpow
import math
import utils
import json
import Queue
import threading
import multiprocessing
import subprocess
import base64
from rlp.sedes import big_endian_int, BigEndianInt, Binary
from rlp.utils import decode_hex, encode_hex, ascii_chr, str_to_bytes
f = open(sys.argv[1],'r')
valuejson = base... |
3277346 | import numpy as np
import pickle, os
NUM_HEROES = 108
NUM_FEATURES = NUM_HEROES * 2
NUM_IN_QUERY = 0
# Lower this value to speed up recommendation engine
TRAINING_SET_SIZE = 10000
def my_distance(vec1,vec2):
'''Returns a count of the elements that were 1 in both vec1 and vec2.'''
return np.sum(np.logical_and(... |
3277348 | import discord
import asyncio
from discord.ext import commands, tasks
TOKEN = "YOUR_TOKEN"
bot = commands.Bot(command_prefix="!")
startup_extensions = []
@bot.event
async def on_ready():
# On read, after startup
print(f"Connecting...\nConnected {bot.user}\n") # Send message on connected
if __name__ == "_... |
3277374 | from openwisp_users.tests.test_admin import (
TestBasicUsersIntegration as BaseTestBasicUsersIntegration,
TestMultitenantAdmin as BaseTestMultitenantAdmin,
TestUsersAdmin as BaseTestUsersAdmin,
)
from openwisp_users.tests.test_models import TestUsers as BaseTestUsers
additional_fields = [
('social_secu... |
3277429 | import json
def metadata(name, data):
info = {}
info['name'] = name
if type(data) is dict:
info['entries'] = [metadata(k, v) for (k, v) in data.items()]
else:
info['shape'] = data.shape
return info
def tolist(array):
depth = len(array.shape)
if depth == 1:
return [... |
3277516 | from django.core.management.base import BaseCommand
from document.models import Document
import openkamer.dossier
class Command(BaseCommand):
def handle(self, *args, **options):
documents = Document.objects.all()
counter = 0
for document in documents:
if not document.content_... |
3277521 | import os
import sys
from concurrent import futures
from datetime import datetime
import aion.common_library as common
import grpc
import numpy as np
import open3d as o3d
from arena_api.__future__.save import Writer
from .pcdproto import ndarray_to_proto
from .PointCloud_pb2_grpc import (MainServerServicer,
... |
3277564 | from gloro.layers.network_layers import MinMax
from gloro.layers.network_layers import InvertibleDownsampling
from gloro.layers.network_layers import Scaling
from gloro.layers.network_layers import Bias
from gloro.layers.network_layers import ResnetBlock |
3277574 | import pytest
from specklepy.api.models import Stream
from specklepy.logging.exceptions import GraphQLException
@pytest.mark.run(order=2)
class TestStream:
@pytest.fixture(scope="session")
def stream(self):
return Stream(
name="a wonderful stream",
description="a stream created... |
3277585 | from mock import MagicMock, mock_open, patch
from unittest import TestCase
from warnings import simplefilter
import pconf
from pconf.store.env import Env
TEST_ENV_BASE_VARS = {
"env__var": "result",
"env__var_2": "second_result",
}
TEST_ENV_MATCHED_VARS = {"matched_var": "match"}
TEST_ENV_WHITELIST_VARS = {"... |
3277649 | import string
class Decoder(object):
decoder_name = ""
decoder_version = 1
decoder_author = ""
decoder_description = ""
file_info = object
def set_file(self, file_info):
self.file_info = file_info
def get_config(self):
pass
class PreProcessor(object):
preprocessor_n... |
3277655 | from billing.integrations.amazon_fps_integration import AmazonFpsIntegration as Integration
from django.core.urlresolvers import reverse
from django.http import HttpResponseRedirect
import urlparse
class FpsIntegration(Integration):
def transaction(self, request):
"""Ideally at this method, you will check ... |
3277680 | import pytest
from pygears.hls.translate import translate_gear
from pygears import gear, find
from pygears.typing import Uint, Tuple
from pygears.hls import HLSSyntaxError
from pygears.lib import const
# Should report that this is unsupported
# @gear
# def test() -> Uint[8]:
# yield -1
# def test_out_cast_fail()... |
3277711 | import numpy as np
import os
from utils import data_paths, data_splitting
def test_write_numpy_array_to_file_returns_none():
input_array = np.ones((4, 3))
array_file_name = 'array_test_file.npy'
array_file_path = os.path.join(data_paths.DATA_DIR_PATH, array_file_name)
try:
return_value = data... |
3277752 | description = 'Basic Setup for Experiments in Experimental Chamber 2'
group = 'basic'
excludes = ['antares_s']
includes = ['basic', 'sbl', 'lbl', 'servostar']
|
3277757 | import time
import unittest
from alerta.app import create_app, db
from alerta.models.metrics import Gauge, Timer
class MetricsTestCase(unittest.TestCase):
def setUp(self):
self.app = create_app()
self.client = self.app.test_client()
def tearDown(self):
db.destroy()
def test_met... |
3277768 | from django.db import transaction
from django.contrib.postgres.aggregates import ArrayAgg
from ..models import Media
from ..models import MediaType
from ..models import StateType
from ..models import State
from ..models import Project
from ..schema import StateTypeListSchema
from ..schema import StateTypeDetailSchema
... |
3277808 | from typing import Optional
def try_int(text: str) -> Optional[int]:
try:
return int(text)
except:
return None
|
3277821 | from splitcli.split_apis import workspaces_api, environments_api, traffic_types_api
from splitcli.ux import menu
def selection_environment(workspace_id):
environments = environments_api.list_environments(workspace_id)
if len(environments) == 1:
environment = environments[0]["name"]
return envi... |
3277864 | from __future__ import annotations
import logging
from collections import defaultdict
from typing import TYPE_CHECKING, Any
from ..events import Event
if TYPE_CHECKING:
from collections.abc import Awaitable, Callable
from .app import App
# Type aliases
HandlerType = Callable[[Event], Awaitable[Non... |
3277868 | class ValueIteration:
def __init__(self, mdp):
self.refresh(mdp)
def refresh(self, mdp):
self.mdp = mdp
self.states = mdp.getStates()
self.actions = mdp.getActions()
self.transition = mdp.transition
self.reward = mdp.reward
self.terminal = mdp.terminal
... |
3277882 | from eve import Eve
from eve_sqlalchemy import SQL
from eve_sqlalchemy.examples.simple.tables import Base, Invoices, People
from eve_sqlalchemy.validation import ValidatorSQL
app = Eve(validator=ValidatorSQL, data=SQL)
# bind SQLAlchemy
db = app.data.driver
Base.metadata.bind = db.engine
db.Model = Base
db.create_al... |
3277963 | from .evolution import *
from .asynchronous_rule import *
from .hopfield_net import *
from .reversible_rule import *
from .analysis import *
from .rule_tables import *
from .hexplot import *
from .sandpile import *
from .turing_machine import *
from .utils import *
from .hopfield_tank_tsp_net import *
from .substitutio... |
3277988 | timeline_csv = """1992, Wolfenstein 3D
1993, Doom
1994, Doom II
1996, Quake
1997, Quake II
1998, Half-Life
1999, Quake III
2003, Call of Duty, Half-Life 2
2004, Doom 3
2007, The Orange Box
2011, Portal 2, Rage
2014, Titanfall
2016, Doom (2016), Titanfall 2, Dishonored 2
2019, Apex Legends"""
# 18 game skeleton
timelin... |
3278027 | from nlpmodels.utils import tokenizer
def test_tokenizer_removes_punctuation():
text = [
'Hi. How2 are you doing?? ',
'!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~'
]
exp_text = [['hi', 'how', 'are', 'you', 'doing']]
tokenized_text = tokenizer.tokenize_corpus_basic(text)
assert tokenized... |
3278038 | import geom
import os
POSITION_COLOUR = 'ff70ff'
def MakeCurveFromD(d, group_name):
curve = geom.Curve()
mode = 'x' # x y h v cx1 cx2 cy1 cy2
nums = ''
curp = geom.Point(0,0)
absolute = True
move = True
d += ' '
for c in d:
if c == 'm':
absolute = False
... |
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