id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
11583646 | import subprocess
import numpy as np
import argparse
import torch
from torch import optim, nn
from two_FC_layer_model_Audio import Two_FC_layer
import os
import time
import gc
from collections import Mapping, Container
from sys import getsizeof
import h5py
from torch.utils.data import DataLoader, Dataset
from pytorchto... |
11583649 | import sys
import json
import os
import logging
from logging.config import dictConfig
from flask import Flask
from flask_cors import CORS
from flask_restful import reqparse, abort, Api, Resource
from flask import request, jsonify
import base64
import yaml
import argparse
import textwrap
sys.path.append... |
11583683 | from typing import Dict
import torch
import pickle
MAX_SIZE_LIMIT = 65533
def update_d1_with_d2(d1: Dict, d2: Dict): # update d1 with d2
if d2 is None:
return
for k, v in d2.items():
d1[k] = d1.get(k, v)
def object_to_byte_tensor(obj, max_size=4094):
"""Encode Python objects to PyTorc... |
11583711 | import pandas as pd
import torch
from PIL import Image, ImageFile
from torch.utils.data import Dataset
import os
device = torch.device("cuda:0")
ImageFile.LOAD_TRUNCATED_IMAGES = True
class CollectionsDataset(Dataset):
def __init__(self, csv_file, root_dir, num_classes, image_size, folds=None, transform=None):
... |
11583791 | class Solution:
def generate(self, numRows: int) -> List[List[int]]:
pascal = []
for i in range(numRows):
if i == 0:
array = [i + 1] #start the array by inserting the first array
pascal.append(array) #append array to result list
else:
... |
11583819 | import domoticz
from devices.light.on_off import OnOffLight
class DimmerLight(OnOffLight):
MAX_BRIGHTNESS = 100
def create_device(self, unit, device_id, device_name):
return domoticz.create_device(Unit=unit, DeviceID=device_id, Name=device_name, Type=244, Subtype=73, Switchtype=7)
def set_bright... |
11583824 | from pinyin import get_pinyin
def dummy_test():
assert get_pinyin('你好', 'ni3 hao3')
if __name__ == "__main__":
print(get_pinyin("你好？中文！中文的，符号"))
|
11583870 | from pybrain.rl.agents.linearfa import LinearFA_Agent
from pybrain.rl.experiments import EpisodicExperiment
from environment import Environment
from tasks import LinearFATileCoding3456BalanceTask
from training import LinearFATraining
from learners import SARSALambda_LinFA_ReplacingTraces
task = LinearFATileCoding3456... |
11583903 | import os
import torch
import datasets
import translation_models.model as tmm
import translation_models.help_fun as transl_hf
import onmt
import model_manager
import quantization
import copy
import functools
import quantization.help_functions as qhf
import helpers.functions as mhf
cuda_devices = os.environ['CUDA_VISIB... |
11583927 | from django.http import HttpResponse
from django.core.exceptions import ValidationError
from django.db import transaction
from systems.models import System
from core.range.utils import range_usage
from core.search.compiler.django_compile import compile_to_q
from core.range.ip_choosing_utils import (
integrate_rea... |
11583931 | from __future__ import absolute_import, print_function, unicode_literals
import datetime
import os
import pickle
import sys
import traceback
from io import open
from fabric.api import env, execute
from fabric.operations import sudo
from github import UnknownObjectException
from memoized import memoized_property
from... |
11583935 | from trading_ig.config import config
import logging
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
# if you need to cache to DB your requests
from datetime import timedelta
import requests_cache
from getting_realtime_data.data_retrieval import Data_Retrieval
from sending_orders.order_management i... |
11583938 | import contextlib
import itertools
import numpy as np
import os
import sys
try:
import pycocotools.coco
import pycocotools.cocoeval
import pycocotools.mask as mask_tools
_available = True
except ImportError:
_available = False
import fcis
def eval_instance_segmentation_coco(generator):
"""Ev... |
11583971 | from .expr import Expr
class LeafExpr(Expr):
"""Leaf expression base class."""
def has_return(self):
return False
LeafExpr.__module__ = "pyteal"
|
11584012 | class AddAuthTokenMiddleware(object):
"""
Adds auth_token cookie to response
"""
def process_response(self, request, response):
if hasattr(request, 'user') and request.user and request.user.is_authenticated():
auth_token = request.user.auth_token
if auth_token:
... |
11584013 | import msvcrt
#检测键盘输入
def kb_hitchk():
Kb_hit =msvcrt.kbhit()
if Kb_hit :
Kb_return = ord(msvcrt.getch())
else :
Kb_return = 0
return Kb_return
#前端显示名称
config_webtitle = ''
#前端底部页面信息
config_webinfo = ''
#需监控前端设备地址列表文件,csv后缀,格式 "设备名称,设备地址,设备端口"
config_ipfile = './static/ip.csv'
#超时时间,建议默... |
11584018 | import argparse
import torch
import torch.nn.functional as F
from torch.nn import Linear as Lin
from torch_geometric.nn import SplineConv, radius_graph, fps, global_mean_pool
from points.datasets import get_dataset
from points.train_eval import run
parser = argparse.ArgumentParser()
parser.add_argument('--epochs', ty... |
11584025 | import cv2
import matplotlib
import numpy as np
from matplotlib import pyplot as plt
# * syn where to set this
# must use 'Agg' to plot out onto image
matplotlib.use("Agg")
####
def fig2data(fig, dpi=180):
"""Convert a Matplotlib figure to a 4D numpy array with RGBA channels and return it.
Args:
... |
11584040 | from typing import Optional, Tuple
import aiohttp.web
from kopf._cogs.clients.auth import APIContext, authenticated
from kopf._cogs.structs.credentials import ConnectionInfo
@authenticated
async def fn(
x: int,
*,
context: Optional[APIContext],
) -> Tuple[APIContext, int]:
return context... |
11584063 | import pulsar
client = pulsar.Client('pulsar://localhost:6650')
msg_id = pulsar.MessageId.earliest
reader = client.create_reader('test', msg_id)
while True:
msg = reader.read_next()
print("Received message '{}' id='{}'".format(msg.data(), msg.message_id()))
client.close()
|
11584076 | from securityheaders.checkers import Finding, FindingType, FindingSeverity
from securityheaders.models import ReferrerPolicy
from securityheaders.checkers.referrerpolicy import ReferrerPolicyChecker
class ReferrerPolicyInsecureChecker(ReferrerPolicyChecker):
def check(self, headers, opt_options=dict()):
f... |
11584094 | import numpy as np
import pandas as pd
from DeepTCR.DeepTCR import DeepTCR_SS
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib
matplotlib.rc('font', family='Arial')
DTCRS = DeepTCR_SS('reg_mart1',device=2)
alpha = 'CAVNFGGGKLIF'
beta = 'CASSWSFGTEAFF'
input_alpha = np.array([alpha,alpha])
input... |
11584188 | import logging
import coloredlogs
import argparse
import functools
log = logging.getLogger("main")
exception = log.exception
info = log.info
debug = log.debug
error = log.error
warn = log.warning
def get_arg(arg):
try:
parser = argparse.ArgumentParser()
parser.add_argument("--log", help="log hel... |
11584247 | import tensorflow as tf
from tensorflow.contrib.framework.python.ops import arg_scope
from tensorflow.contrib.framework.python.ops import add_arg_scope
import numpy as np
from functools import partial
from net.ops import random_sqaure, Margin, fixed_bbox_withMargin, bbox2mask
from net.ops import confidence_driven_mask... |
11584320 | from __future__ import print_function
import os
import subprocess
import glob
import time
import py_compile
import sys
from unittest import TestCase
class TestExamples(TestCase):
def setUp(self):
os.chdir("examples")
def tearDown(self):
if os.path.basename(os.getcwd()) == "examples":
... |
11584323 | import re
__product__ = "HTML5"
__description__ = (
"HTML5 is a markup language used for structuring and presenting "
"content on the World Wide Web. It is the fifth and current major "
"version of the HTML standard."
)
def search(html, **kwargs):
html = str(html)
plugin_detection_schema = (
... |
11584332 | from copy import deepcopy
from typing import Dict, List, Any, Union
from ..config import fill_default, is_algorithm_distributed
from ..pl_logger import LocalMediaLogger
from ..dataset import DatasetResult, RLDataset, log_video, determine_precision
from ..launcher import Launcher, DistributedLauncher
from machin.frame.a... |
11584349 | import torch
from torch import nn
class BitShift(nn.Module):
def __init__(self, direction):
if direction not in ("LEFT", "RIGHT"):
raise ValueError("invalid BitShift direction {}".format(direction))
self.direction = direction
super().__init__()
def forward(self, X, Y):
... |
11584350 | import numpy
import util
from chainer import cuda
from chainer import function
from chainer.utils import type_check
def _as_mat(x):
if x.ndim == 2:
return x
return x.reshape(len(x), -1)
class QuantizedLinearFunction(function.Function):
def check_type_forward(self, in_types):
... |
11584359 | from django.test import TestCase
from django.contrib.auth import get_user_model
from django.contrib.contenttypes.models import ContentType
from django.contrib.auth.models import Group, AnonymousUser
from django.db import models
from guardian.testapp.tests.conf import skipUnlessTestApp
from guardian.testapp.tests.test_... |
11584382 | def get_valid_actions(env, roll):
a = env.game.get_valid_plays(env.colors[env.agent_selection], roll)
return a
def to_bar(action, roll):
if action == 25: # bar
if roll < 0: # white
return ('bar', 24 - abs(roll))
else: # black
return ('bar', abs(roll) - 1)
els... |
11584438 | from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name='mkdocs-add-number-plugin',
version='1.2.1',
description='MkDocs Plugin to automatically number the headings (h1-h6) '
'in each markdown page and number the nav.',
... |
11584453 | import tensorflow as tf
from tf_rbdl.liegroup import *
from tf_rbdl.kinematics import *
@tf.function
def id(theta,dtheta,ddtheta,g,pidlist,Mlist,Glist,Slist):
"""
Inverse dynamics.
Note that nbody == nq, since body only contains movable link.
Parameters
----------
theta (tf.Tensor):
J... |
11584484 | try:
from logging import NullHandler
except ImportError: # Python 2.6
from logging import Handler
class NullHandler(Handler):
def emit(self, record):
pass
from six import indexbytes
try:
from ssl import SSLError
except ImportError:
class SSLError(Exception):
pass
... |
11584493 | import os
from onsset import SettlementProcessor
from pandas import DataFrame,Series,cut
from pandas.testing import assert_frame_equal, assert_series_equal
from pytest import fixture
class TestSettlementProcessor:
@fixture
def setup_settlementprocessor(self) -> SettlementProcessor:
csv_path = os.p... |
11584541 | import faceutils as futils
from smart_path import smart_path
from pathlib import Path
from PIL import Image
import fire
import numpy as np
import tqdm
from collections import defaultdict
import pickle
from config import config
import dlib
from multiprocessing import Pool
from functools import partial
import os.path ... |
11584552 | import torch
from torch import nn
import torch.nn.functional as F
from torch.nn.parameter import Parameter
import math
from torch.autograd import Variable
from torchvision.ops import box_iou
class GraphConvolution(nn.Module):
"""
Simple GCN layer, similar to https://arxiv.org/abs/1609.02907
"""
def _... |
11584584 | import os
def find_egg_info_dir(dir):
while 1:
try:
filenames = os.listdir(dir)
except OSError:
# Probably permission denied or something
return None
for fn in filenames:
if (fn.endswith('.egg-info')
and os.path.isdir(os.path.j... |
11584588 | import os
import sys
from setuptools import setup
if sys.version_info[0] != 3:
raise RuntimeError('Unsupported python version "{0}"'.format(
sys.version_info[0]))
def _get_file_content(file_name):
with open(file_name, 'r') as file_handler:
return str(file_handler.read())
def get_long_descripti... |
11584693 | from fractal import IFS
code = [
[0.195, -0.488, 0.344, 0.443, 0.4431, 0.2452, 0.2],
[0.462, 0.414, -0.252, 0.361, 0.2511, 0.5692, 0.2],
[-0.637, 0, 0, 0.501, 0.8562, 0.2512, 0.2],
[-0.035, 0.07, -0.469, 0.022, 0.4884, 0.5069, 0.2],
[-0.058, -0.07, -0.453, -0.111, 0.5976, 0.0969, 0.2]
]
ifs = IFS(... |
11584738 | import numpy as np
import argparse
from tqdm import tqdm
import yaml
from attrdict import AttrMap
import torch
from torch.autograd import Variable
from torch.utils.data import DataLoader
from data import TestDataset
from utils import gpu_manage, save_image
from models.gen.unet import UNet
def predict(config, args):... |
11584803 | import os
import unittest
from unittest.mock import patch
from configue.yaml_loader import YamlLoader
class TestYamlLoader(unittest.TestCase):
def setUp(self):
os.environ["my_var"] = "my_value"
os.environ["my_int_var"] = "10"
os.environ["my_bool_var"] = "false"
os.environ["my_list... |
11584805 | import os
import random
import time
import warnings
import json
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.distributed as dist
import torch.optim
import torch.multiprocessing as mp
import torch.utils.data
import torch.utils.data.distributed
import torc... |
11584806 | import os
import numpy as np
import cv2
import torch.nn as nn
import torch.nn.functional as F
import torch
import math
import time
from typing import List
from visualDet3D.networks.utils import DETECTOR_DICT
from visualDet3D.networks.backbones import resnet
from visualDet3D.networks.lib.coordconv import CoordinateConv
... |
11584821 | from lxml import html
from pprint import pprint # noqa
API_URL = "https://www.eccourts.org/api/get_posts/"
def clean_text(text):
try:
return html.fromstring(text).text
except Exception:
return text
def emit_attachment(context, post, attachment):
meta = {
"title": clean_text(att... |
11584841 | import fnmatch
import os
def is_dir(path: str) -> bool:
return isinstance(path, str) and os.path.exists(path) and os.path.isdir(path)
def is_file(path: str) -> bool:
return isinstance(path, str) and os.path.exists(path) and os.path.isfile(path)
def get_file_extension(path: str) -> str:
return os.path.splitext(... |
11584896 | import pytest
from django_performance_testing.queries import classify_query
@pytest.mark.parametrize('sql', [
'QUERY = u\'SELECT "auth_group"."id", "auth_group"."name" FROM "auth_group"\' - PARAMS = ()', # noqa
'QUERY = \'SELECT "auth_group"."id", "auth_group"."name" FROM "auth_group"\' - PARAMS = ()', # no... |
11584898 | from airdraw.config import BaseConfig
class AppConfig(BaseConfig):
NAME = 'airdraw'
VERSION = (0, 1, 0)
WINDOW_WIDTH = 1024
WINDOW_HEIGHT = 768
CANVAS_BACKGROUND_COLOR = '#000000'
|
11584899 | import bottle
class Plugin(object):
'''Bottle plugin to handle SSL client certificates.'''
name = 'one.infinit.ssl-client-certificate'
api = 2
key_dn = 'SSL_CLIENT_DN'
key_ok = 'SSL_CLIENT_VERIFIED'
def __init__(self):
pass
def apply(self, callback, route):
def wrapper(*args, **kwargs):
... |
11584919 | import argparse
import os
import sys
from .mapping import AttackMapping
def parse_args():
args = argparse.ArgumentParser(prog="attack-lookup", description="MITRE ATT&CK Lookup Tool", formatter_class=argparse.ArgumentDefaultsHelpFormatter)
args.add_argument("-v", "--version", default="v10.1", help="ATT... |
11584975 | import torch
import torch.nn as nn
import rdkit.Chem as Chem
import torch.nn.functional as F
from fuseprop.nnutils import *
from fuseprop.mol_graph import MolGraph
from fuseprop.rnn import GRU, LSTM
class MPNEncoder(nn.Module):
def __init__(self, rnn_type, input_size, node_fdim, hidden_size, depth):
super... |
11585008 | import contextlib
import shutil
import tempfile
@contextlib.contextmanager
def tempdir():
temp = tempfile.mkdtemp()
yield temp
shutil.rmtree(temp)
|
11585033 | import numpy as np
import codecs
import cv2
import matplotlib.pylab as plt
import read_data
import config
train_images_dir = config.train_images_dir
train_labels_dir = config.train_labels_dir
save_images_dir = "train_images/resize_images/"
save_labels_dir = "train_images/resize_ground_truth/"
def test_main():
ima... |
11585051 | import os
import time
def map_maybe(f, lst):
return [f(x) if x is not None else None for x in lst]
def measure(f):
t0 = time.time()
result = f()
duration = time.time() - t0
return duration, result
def one_based_range(n):
return range(1, 1 + n)
def show_duration(duration):
if duration... |
11585100 | from pathlib import Path
import torch
import numpy as np
from torchvision import transforms as trans
import json
class Config(object):
data_path = Path('data')
coco_path = data_path/'coco2014'
anno_path = coco_path/'annotations'
train_path = coco_path/'train2017'
val_path = coco_path/'val2017'
... |
11585112 | from lightbus import Api, Event, Parameter
from lightbus.creation import create
bus = create()
class AuthApi(Api):
user_registered = Event(parameters=[Parameter("username", str)])
class Meta:
name = "auth"
def check_password(self, username: str, password: str):
return username == "admin... |
11585135 | from mkreports import md
def test_list():
basic_text = (
md.H1("First header") + md.H2("Second header") + md.P("This is a paragraph")
)
assert basic_text.body.format_text(" ", "a") == (
"\n\n# First header\n\n## Second header\n\nThis is a paragraph\n\n"
)
|
11585143 | from credmark.cmf.engine.model_unittest import ModelTestCase, model_context
class ExampleEchoTest(ModelTestCase):
@model_context(chain_id=1, block_number=12345)
def test_echo(self):
# sanity check that the context is as expected
self.assertEqual(self.context.block_number, 12345)
# r... |
11585186 | import datetime
import binsync.data
from . import ui_version
if ui_version == "PySide2":
from PySide2.QtWidgets import QVBoxLayout, QGroupBox, QWidget, QLabel, QTabWidget, QTableWidget, QStatusBar
from PySide2.QtCore import Signal
elif ui_version == "PySide6":
from PySide6.QtWidgets import QVBoxLayout, QG... |
11585198 | import greenlet
from .hubs.hub import get_hub
__all__ = ['Timeout', 'with_timeout']
_NONE = object()
# deriving from BaseException so that "except Exception as e" doesn't catch
# Timeout exceptions.
class Timeout(BaseException):
"""Raise `exception` in the current greenthread after `timeout` seconds.
Whe... |
11585222 | import pytest
from ....order.tests.benchmark.test_order import FRAGMENT_AVAILABLE_SHIPPING_METHODS
from ....tests.utils import get_graphql_content
@pytest.mark.django_db
@pytest.mark.count_queries(autouse=False)
def test_retrieve_shop(api_client, channel_USD, count_queries):
query = (
FRAGMENT_AVAILABLE_... |
11585236 | import numpy as np
import pandas as pd
from contextlib import contextmanager
import time
import logging
@contextmanager
def timing(name):
t0 = time.time()
yield
log_out = 'Fragment [{}] done in {:.2f} s\n'.format(name, time.time() - t0)
print(log_out)
logging.info(log_out)
def get_indiv_imp... |
11585241 | from typing import Iterable
from testplan.report import TestReport
class ParseSingleAction:
def __call__(self) -> TestReport:
pass
class ParseMultipleAction:
def __call__(self) -> Iterable[TestReport]:
pass
class ProcessResultAction:
def __call__(self, result: TestReport) -> TestRepor... |
11585249 | from hazelcast.protocol.client_message import OutboundMessage, REQUEST_HEADER_SIZE, create_initial_buffer
from hazelcast.protocol.builtin import StringCodec
from hazelcast.protocol.builtin import EntryListCodec
from hazelcast.protocol.builtin import DataCodec
# hex: 0x0D1100
_REQUEST_MESSAGE_TYPE = 856320
# hex: 0x0D1... |
11585252 | from django.urls import re_path
from rest_framework.routers import DefaultRouter
from apps.vadmin.system.views import DictDataModelViewSet, DictDetailsModelViewSet, \
ConfigSettingsModelViewSet, SaveFileModelViewSet, MessagePushModelViewSet, LoginInforModelViewSet, \
OperationLogModelViewSet, CeleryLogModelVie... |
11585258 | class Doc2Tester:
def __init__(self, mod, doc, node):
self.mod = mod
self.doc = doc
self.node = node
self.exdefs = []
self.set_out([])
self.test_names = {}
self.condition_exprs = {}
self.condition_methods = {}
self.document_metas = []
s... |
11585262 | from logtacts.settings import *
import fakeredis
CACHES['default']['OPTIONS']['REDIS_CLIENT_CLASS'] = "fakeredis.FakeStrictRedis" |
11585288 | import os.path as osp
import torch.distributed as dist
from mmcv.runner import DistEvalHook as BaseDistEvalHook
from mmcv.runner import EvalHook as BaseEvalHook
from torch.nn.modules.batchnorm import _BatchNorm
class EvalHook(BaseEvalHook):
"""Please refer to `mmcv.runner.hooks.evaluation.py:EvalHook` for detail... |
11585308 | import logging
import os
import sys
import splunk.admin as admin
import cloudformation_templates_schema
import urllib
import base_eai_handler
import log_helper
if sys.platform == 'win32':
import msvcrt
# Binary mode is required for persistent mode on Windows.
msvcrt.setmode(sys.stdin.fileno(), os.O_BINARY... |
11585333 | if "bpy" in locals():
import importlib
importlib.reload(ycd)
else:
from . import ycd
import bpy |
11585351 | from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
a = np.load('../datasets/toyData/valData.npy')
a = np.random.randn(10,3,25) * 50
# index = 50
"""
numframes = 100
numpoints = 25
fig = plt.figure()
scat = plt.scatter()
ani = anima... |
11585357 | from .config import sample_data
from .context import pandas_ta
from unittest import skip, TestCase
from pandas import DataFrame
class TestOverlapExtension(TestCase):
@classmethod
def setUpClass(cls):
cls.data = sample_data
@classmethod
def tearDownClass(cls):
del cls.data
def se... |
11585377 | import torch
from SpatialExtractor.BaseCNN_4FeatureGetting import BaseCNN
from SpatialExtractor.Main_4FeatureGetting import parse_config
def make_spatial_model():
config = parse_config()
model = BaseCNN(config)
model = torch.nn.DataParallel(model).cuda()
ckpt = './SpatialExtractor/weights/DataParallel... |
11585441 | import json
import ast
from .ConnectionProperty import ConnectionProperty
from .DeadlineUtility import ArrayToCommaSeparatedString
class Jobs:
"""
Class used by DeadlineCon to send Job requests.
Stores the address of the Web Service for use in sending requests.
"""
def __init__(self, conne... |
11585476 | import requests
from requests.auth import HTTPBasicAuth, HTTPDigestAuth
import xmltodict
try:
from urllib.parse import urljoin
except ImportError:
from urlparse import urljoin
import json
def response_parser(response, present='dict'):
""" Convert Hikvision results
"""
if isinstance(response, (lis... |
11585477 | import yt
# target file
file = 'Data_000000'
# load data
ds = yt.load( file )
ad = ds.all_data()
# filter data if required
# ref: https://yt-project.org/docs/dev/analyzing/filtering.html#cut-regions
dense = ad.cut_region( ['obj["Dens"]>1.0e2'] )
# calculate center-of-mass
cm = dense.quantities.weighted_average_quan... |
11585478 | import sys
from xrspatial import __main__ as m
from unittest.mock import patch
import pytest
# test_args include copy-examples, fetch-data, or examples (does both)
@pytest.mark.skip(reason="meant only for internal use")
def run_examples_cmds(*cli_cmds):
"""
Run conda package cli commands to download examples ... |
11585494 | from calendar import timegm
from datetime import datetime
from typing import Dict, List, Optional, TypeVar
from uuid import uuid4
import pytest
from _pytest.monkeypatch import MonkeyPatch
from fastapi import FastAPI, HTTPException
from fastapi.encoders import jsonable_encoder
from starlette.status import (
HTTP_20... |
11585514 | import random
import numpy as np
# tabular Q-learning where states and actions
# are discrete and stored in a table
class QLearner(object):
def __init__(self, state_dim,
num_actions,
init_exp=0.5, # initial exploration prob
final_exp=0.0, # final... |
11585580 | from __future__ import print_function
import sys
import random
import os
from builtins import range
import time
sys.path.insert(1, "../../../")
import h2o
from tests import pyunit_utils
from h2o.estimators.kmeans import H2OKMeansEstimator
from h2o.grid.grid_search import H2OGridSearch
class Test_PUBDEV_2980_kmeans:... |
11585582 | import os, copy, torch
from torch.utils.data import Dataset, DataLoader
import torch.nn as nn
import torch.optim as optim
from torch.optim import lr_scheduler
import torch.nn.functional as F
from torch.autograd import Variable
from collections import OrderedDict
import torchvision
from torchvision import datasets, mo... |
11585612 | from maneuvers.strikes.double_touch import DoubleTouch
from maneuvers.dribbling.carry_and_flick import CarryAndFlick
from maneuvers.maneuver import Maneuver
from maneuvers.strikes.aerial_strike import AerialStrike, FastAerialStrike
from maneuvers.strikes.close_shot import CloseShot
from maneuvers.strikes.dodge_str... |
11585622 | from datetime import datetime
from django.test import TestCase
from simple_history.signals import (
post_create_historical_record,
pre_create_historical_record,
)
from ..models import Poll
today = datetime(2021, 1, 1, 10, 0)
class PrePostCreateHistoricalRecordSignalTest(TestCase):
def setUp(self):
... |
11585638 | class BinTree:
'''
Root: integer value
Left: BinTree
Right: BinTree
if left and right are both None, the tree is a leaf (an ending node)
'''
def __init__(self, root, left, right):
self.root = root
self.left = left
self.right = right
'''
Converts the Binary Tr... |
11585666 | from torch.utils.data import DataLoader
from ..util import barit, DirectoryDataset, LoadedDataset
from ..hdr.io import imread
from .opts import fetch_opts
def _custom_get_item(self, index):
if self.train:
img, target = self.train_data[index], self.train_labels[index]
else:
img, target = self.te... |
11585667 | class AlternationConverter(object,IValueConverter):
"""
Converts an integer to and from an object by applying the integer as an index to a list of objects.
AlternationConverter()
"""
def Convert(self,o,targetType,parameter,culture):
"""
Convert(self: AlternationConverter,o: object,targetType: Typ... |
11585718 | import tensorflow as tf
from games.connect_4 import Connect4GameSpec
connect_4_game_spec = Connect4GameSpec()
def create_convolutional_network():
input_layer = tf.input_layer = tf.placeholder("float",
(None,) + connect_4_game_spec.board_dimensions() + (1,))
... |
11585720 | import cv2
import threading
from copy import deepcopy
from screen import convert_screen_to_monitor, grab
from typing import Union
from dataclasses import dataclass
import numpy as np
from logger import Logger
import time
import os
from config import Config
from utils.misc import cut_roi, load_template, list_files_in_fo... |
11585732 | import uclasm
nodelist, channels, adjs = \
uclasm.load_edgelist(
"example_data_files/example_edgelist.csv",
src_col=0,
dst_col=1,
channel_col=2,
header=0)
nodes = nodelist.node
labels = nodelist.label
# Use the same graph data for both template and world graphs
tmplt = ucl... |
11585754 | from unittest import TestCase
import os
from vcr import VCR
import pytest
from click.testing import CliRunner
import pyicloud_ipd
from icloudpd.base import main
from icloudpd.authentication import authenticate, TwoStepAuthRequiredError
import inspect
vcr = VCR(decode_compressed_response=True)
class AuthenticationTes... |
11585776 | import numpy as np
# arr_outcomes = np.load('../processed_data/arr_outcomes.npy', allow_pickle=True)
"""Use 8:1:1 split"""
p_train = 0.80
p_val = 0.10
p_test = 0.10
n = 11988 # original 12000 patients, remove 12 outliers
n_train = round(n*p_train)
n_val = round(n*p_val)
n_test = n - (n_train+n_val)
Nsplits = 5
for ... |
11585791 | import time
from metadrive import TopDownMetaDriveEnvV2
if __name__ == '__main__':
env = TopDownMetaDriveEnvV2(dict(environment_num=10, frame_stack=10, frame_skip=3))
o = env.reset()
start = time.time()
action = [0.0, 0.1]
print(o.shape)
for s in range(10000):
o, r, d, i = env.step(act... |
11585794 | import io
import os
import re
import sys
from jinja2 import Environment, PackageLoader, select_autoescape
from primehub import PrimeHub
from primehub.cli import create_sdk, main as cli_main
from primehub.utils.decorators import find_actions, find_action_method
env = Environment(
loader=PackageLoader("primehub.ex... |
11585797 | from __future__ import absolute_import
from itertools import chain
from six.moves import range, reduce
import os
import re
import numpy as np
import tensorflow as tf
import codecs
import sys
from tqdm import tqdm
import pickle
import logging
class Dataset():
def __init__(self, data='data/tasks_1-20_v1-2/en/',ts_num... |
11585802 | import numpy as np
import scipy
import scipy.sparse as sp
from igraph import Graph, VertexCover
def __reset_diagonal(A, sparse):
'''
input: matrix
ouput: matrix object with diagonals set to 0
'''
if sparse:
A = A - sp.dia_matrix((A.diagonal()[scipy.newaxis, :], [0]), shape=A.shape)
el... |
11585823 | import json
import unittest
from subprocess import check_output
import tempfile
import fixtures
class SkinferScriptTest(unittest.TestCase):
script = 'skinfer'
def test_end_to_end_simple_run(self):
# given:
_, filename = tempfile.mkstemp()
with open(filename, 'w') as f:
f.wr... |
11585830 | import datetime
import uuid
from typing import Optional, Union
from unittest import TestCase
import jsons
from jsons import (
SerializationError,
DeserializationError,
UnfulfilledArgumentError,
)
class TestUnion(TestCase):
def test_dump_optional_primitive(self):
class C:
def __ini... |
11585843 | import io
import sys
from setuptools import setup, find_packages
from shutil import rmtree
if sys.argv[:2] == ["setup.py", "bdist_wheel"]:
# Remove previous build dir when creating a wheel build,
# since if files have been removed from the project,
# they'll still be cached in the build dir and end up
... |
11585849 | import pybithumb
con_key = "81dd5f25e5daa70b2fff603901d2c09c"
sec_key = "82333efegeg9eg3e77c573weg34af17a"
bithumb = pybithumb.Bithumb(con_key, sec_key)
krw = bithumb.get_balance("BTC")[2]
orderbook = pybithumb.get_orderbook("BTC")
asks = orderbook['asks']
sell_price = asks[0]['price']
unit = krw/float(sell_price)
... |
11585856 | import rospy
import rospkg
import argparse
import bisect
import numpy as np
import pylab as pl
import time
import logging
import pickle
import os
import progressbar
from planner_comparison.plan_scoring import *
from planner_comparison.RosbagInterface import *
# Deep motion planner
from deep_motion_planner.tensorflow... |
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