id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
3220357 | import os
if __name__ == '__main__':
amplxe_cl_path = '/opt/intel/vtune_amplifier/bin64/amplxe-cl'
# dataset and parameters
dataset_dir_path = '/home/yche/GitRepos/ScanOptimizing/dataset/'
dataset_path_lst = map(lambda file_name: dataset_dir_path + file_name,
['snap_orkut', '... |
3220360 | from sqlalchemy import Column, DateTime, ForeignKey, Integer, String
from sqlalchemy.orm import backref, relationship
from sqlalchemy.schema import UniqueConstraint
from c3po.db.base import Base
class UserLikes(Base):
__tablename__ = "user_likes"
# Columns
id = Column(Integer, primary_key=True)
user... |
3220443 | from eICU_preprocessing.split_train_test import create_folder
from torch.optim import Adam
from models.tpc_model import TempPointConv
from models.experiment_template import ExperimentTemplate
from models.initialise_arguments import initialise_tpc_arguments
from models.final_experiment_scripts.best_hyperparameters impor... |
3220492 | from __future__ import print_function
#!/usr/bin/env python
""" An illustration of using the NSGA-II multi-objective optimization algorithm
on Unconstrained Multi-Objective Optimization benchmark function. """
__author__ = '<NAME>, <EMAIL>'
from pybrain.optimization import MultiObjectiveGA
from pybrain.rl.environmen... |
3220515 | import os
import sys
import fcntl
import hashlib
import platform
from cffi import FFI
def suffix():
if platform.system() == "Darwin":
return ".dylib"
else:
return ".so"
def ffi_wrap(name, c_code, c_header, tmpdir="/tmp/ccache", cflags="", libraries=None):
if libraries is None:
libraries = []
cach... |
3220534 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import Parameter
from torch.autograd import Variable
class DilatedLSTMCell(nn.Module):
def __init__(self, input_size, hidden_size, clock=10, bias=True):
super(DilatedLSTMCell, self).__init__()
self.input_size = inpu... |
3220566 | import tensorflow as tf
from detext.layers.embedding_layer import create_embedding_layer
from detext.utils.layer_utils import get_sorted_dict
from detext.utils.parsing_utils import InputFtrType, InternalFtrType
class LstmLayer(tf.keras.layers.Layer):
def __init__(self, bidirectional, rnn_dropout, num_layers, for... |
3220597 | from __future__ import absolute_import, division, print_function
from cctbx import crystal
from cctbx import sgtbx
from cctbx import xray
from cctbx.array_family import flex
from cctbx import miller
from mmtbx import max_lik
from mmtbx.max_lik import maxlik
from libtbx.test_utils import approx_equal
from libtbx.utils i... |
3220609 | import logging
from enum import Enum
from datetime import date
from pydantic import Field, root_validator
from typing import List, Optional
from .base import SnakeModel
logger = logging.getLogger(__name__)
class ExportDataType(str, Enum):
raw_data = "raw_data"
occupancy = "occupancy"
social_distancing =... |
3220626 | import ssl
import logging
import datetime
import pytz
from multidict import CIMultiDictProxy
from typing import List, Optional
from cryptoxlib.CryptoXLibClient import CryptoXLibClient, RestCallType
from cryptoxlib.clients.bitpanda import enums
from cryptoxlib.clients.bitpanda.exceptions import BitpandaRestException, B... |
3220636 | import numpy as np
# import standard plotting and animation
from matplotlib import gridspec
from IPython.display import display, HTML
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from IPython.display import clear_output
from matplotlib import gridspec
import matplotlib.pyplot as plt
from mp... |
3220644 | import torch
from torch import nn
import functools
from .block import upconv_block, Upsample
####################
# UNet Generator
####################
class UnetGenerator(nn.Module):
"""Create a Unet-based generator
U-Net: Convolutional Networks for Biomedical Image Segmentation
(Ronneberger et al., 2015)... |
3220652 | import pulp as lpp
import numpy as np
# Predefined weights, choice same as the one taken in the paper
# "Auto-Directed Video Stabilization with Robust L1 Optimal Camera Paths"
# First derivative weight
w1 = 10
# Second derivative weight
w2 = 1
# Third derivative weight
w3 = 100
# Dimension of 2D motion model consider... |
3220672 | from git import Repo
import shutil
import os
last_git_message = ""
def show_git_progress(op_code, cur_count, max_count, message):
global last_git_message
if message != "" and message != last_git_message:
print(message)
last_git_message = message
def clone_or_update_swagger_specs(target_fold... |
3220678 | from pathlib import Path
from flake8_bandit import BanditTester
import pytest
def _get_errors(filename):
filename = Path(__file__).absolute().parent / filename
bt = BanditTester(tree=None, filename=str(filename), lines=None)
return list(bt.run())
@pytest.mark.parametrize(
"filename,line,message",
... |
3220731 | import timm
from torch import nn
from config import CFG
from loss_module import ArcMarginProduct, CurricularFace
class ShopeeModel(nn.Module):
def __init__(
self,
n_classes = CFG.CLASSES,
model_name = CFG.MODEL_NAME,
fc_dim = CFG.FC_DIM,
margin = CFG.MARGIN,
scale =... |
3220762 | import sys
from keras import backend as K
from keras.utils import to_categorical
import numpy as np
# input image dimensions
img_rows, img_cols = 28, 28
# Used by prep_y_data - could infer but whatever
num_classes = 10
def load_train_data(path):
f = np.load(open(path, 'rb'))
return f['x_train'], f['y_train... |
3220768 | from .base import Folder
from .collections import FolderCollection
from ..items import CalendarItem, Contact, Message, Task, DistributionList, MeetingRequest, MeetingResponse, \
MeetingCancellation, ITEM_CLASSES, ASSOCIATED
from ..version import EXCHANGE_2010_SP1, EXCHANGE_2013, EXCHANGE_2013_SP1
class Calendar(F... |
3220791 | from flask import Blueprint, request, current_app
from apps.autotest.business.monkey import (
MonkeyBusiness, MonkeyDeviceStatusBusiness, MonkeyErrorLogBusiness,
MonkeyPackageBusiness, MonkeyReportBusiness, MonkeyDeviceUsingBusiness,
)
from apps.autotest.extentions import parse_list_args2, parse_list_args, val... |
3220802 | import subprocess
import os
import fply.base
defaultExecutableName = fply.base.path("cli")
class FPLY_repl(fply.base.BaseFPLY):
"""Calls fairplay functions by communicating with another process.
Subclasses reimplement send and read to directly write the passed
data to the communication line and read the exp... |
3220807 | import torch
import torch.nn as nn
class Discriminator2(nn.Module):
def __init__(self, n_h):
super(Discriminator2, self).__init__()
self.f_k = nn.Bilinear(n_h, n_h, 1)
for m in self.modules():
self.weights_init(m)
def weights_init(self, m):
if isinstance(m, nn.Bili... |
3220812 | import sys
from collections import OrderedDict
import numpy as np
from holoviews.core.data import Interface, DictInterface, MultiInterface
from holoviews.core.data.interface import DataError
from holoviews.core.data.spatialpandas import to_geom_dict
from holoviews.core.dimension import OrderedDict as cyODict, dimensio... |
3220836 | import sys
import os
import os.path as osp
import time
import logging
import numpy as np
import argparse
from copy import deepcopy
from tqdm import tqdm
import torch
assert torch.__version__ == '0.4.0'
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.opt... |
3220844 | import pytest
import torch
import torchcde
@pytest.mark.parametrize("backend, method, kwargs", (('torchdiffeq', 'rk4', {"options": {"step_size": 1.0}}),
('torchdiffeq', 'dopri5', {}),
('torchsde', 'midpoint', {"d... |
3220870 | import os
import sys
import glob
import h5py
import numpy as np
from PIL import Image
from scipy import misc
sys.path.append('..')
import lib
from lib.config import (config_output_collected_dir,
config_output_processed_dir,
config_mesh_dir, project_dir)
from lib import v... |
3220887 | from selenium import webdriver
import time, unittest, config
def is_alert_present(wd):
try:
wd.switch_to_alert().text
return True
except:
return False
class test_dataverse(unittest.TestCase):
def setUp(self):
if (config.local):
self.wd = webdriver.Firefox()
... |
3220902 | from all_repos.bitbucket_server_api import get_all
from testing.mock_http import FakeResponse
from testing.mock_http import urlopen_side_effect
def test_get_all(mock_urlopen):
mock_urlopen.side_effect = urlopen_side_effect({
'https://example.com/api?limit=2': FakeResponse(
b'{'
b' ... |
3220952 | import boto.glacier
import boto3
import sure # noqa # pylint: disable=unused-import
import pytest
from moto import mock_glacier_deprecated, mock_glacier
from moto.core import ACCOUNT_ID
from uuid import uuid4
# Has boto3 equivalent
@mock_glacier_deprecated
def test_create_vault():
conn = boto.glaci... |
3220958 | from .inference import (inference_detector,
init_detector, show_result_pyplot)
from .test import single_gpu_test
from .train import get_root_logger, set_random_seed, train_detector
__all__ = [
'get_root_logger', 'set_random_seed', 'train_detector', 'init_detector',
'inference_detector', 's... |
3220973 | import ubelt as ub
import netharn as nh
class Failpoint(Exception):
pass
class MyHarn(nh.FitHarn):
def _run_epoch(harn, loader, tag, learn=False):
if harn.epoch == harn.failpoint:
raise Failpoint
# Overload run_epoch to do nothing
epoch_metrics = {'loss': 3}
retur... |
3221006 | import numpy as np
import data_helpers
from w2v import train_word2vec
from sklearn.utils import class_weight
from keras.models import Sequential, Model
from keras.layers import *
from keras import backend as K
np.random.seed(2)
model_variation = 'CNN-non-static' # CNN-rand | CNN-non-static | CNN-static
print('Model... |
3221036 | import requests
from models import Torrent
from provider import BaseProvider
from humanize import naturalsize
class YTS(BaseProvider):
def __init__(self, base_url):
super(YTS, self).__init__(base_url)
def search(self, query):
payload = {
'query_term': query, 'sort': 'title', 'ord... |
3221112 | import os, scratchdir
path = None
with scratchdir.ScratchDir() as sd:
tmp = sd.named(delete=False)
path = tmp.name
print('Path {} exists? {}'.format(path, os.path.exists(path)))
print('Path {} exists? {}'.format(path, os.path.exists(path)))
|
3221133 | import numpy as np
from .core import SpectrumBasedEstimatorBase, ensure_covariance_size
def f_bartlett(A, R):
r"""Computes the spectrum output of the Bartlett beamformer.
.. math::
P_{\mathrm{Bartlett}}(\theta)
= \mathbf{a}(\theta)^H \mathbf{R} \mathbf{a}(\theta)
Args:
A: m x k st... |
3221137 | import random
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.init as init
import torch.nn.functional as F
from torch.nn.modules.distance import CosineSimilarity
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
from model.attention import Attention
from model.e... |
3221174 | from django.conf.urls.defaults import patterns, url
urlpatterns = patterns(
'popcorn_gallery.search.views',
url(r'^$', 'search', name='search'),
)
|
3221229 | from django.conf import settings
from collections import OrderedDict
try:
from django.core.cache import caches
except ImportError:
from django.core.cache import get_cache as caches
def check(request):
all_stats = []
for alias in settings.CACHES:
server_stats = []
if is_memcached_profi... |
3221243 | print ('《回村》0.1版本','Author: <NAME>')
print ('附注：基于 <NAME> 的 Demo 开发')
print ('更多内容请关注微博或微信公众号：IoT前哨站')
print ('')
print ('欢迎来到风景优美的山谷。但是时间不早了，你要返回村庄。亲戚朋友还在等你回去聚餐。')
print ('')
directions = ['北面','南面','东面','西面']
# Data structure to store details of each location in the game
class Location:
# Constructor - set up
... |
3221328 | import json
import os.path
import netaddr
import argparse
from shared.organization import get_organization_accounts
__description__ = "Add and remove items from the config file"
def configure(action, arguments):
if not os.path.isfile(arguments.config_file):
print("Config file does not exist, creating on... |
3221359 | import skil_client
from .base import Resource
class AzureStorage(Resource):
"""AzureStorage
SKIL Azure storage resource.
# Arguments:
skil: `Skil` server instance
name: Resource name
container_name: Azure storage container name
credential_uri: path to credential file
... |
3221384 | import os
serve_path = os.path.abspath(os.path.join(os.path.dirname(__file__), "serve"))
serve = {"__xai": serve_path}
scripts = ["__xai/vue-xai.umd.min.js"]
vue_use = ["VueXai"]
|
3221404 | import time
import os
import sys
import logging
from App.settings import MESSAGE_DATA_FORMAT, DIR_DATA_FORMATE, DIR_OUTPUT
def get_logger(output_dir, level=logging.DEBUG):
logger = logging.getLogger(output_dir)
logger.setLevel(level)
formatter = logging.Formatter("%(asctime)s %(levelname)s... |
3221436 | from flask_pg_extras import db_execute_results
def query(db):
q = """
SELECT c.relname AS name,
pg_size_pretty(pg_table_size(c.oid)) AS size
FROM pg_class c
LEFT JOIN pg_namespace n ON (n.oid = c.relnamespace)
WHERE n.nspname NOT IN ('pg_catalog', 'information_schema')
AND n.nspname !~ '... |
3221469 | import pytest
from dagster import file_relative_path
from dagster.core.test_utils import instance_for_test
from dagster.core.workspace import WorkspaceProcessContext
from dagster.core.workspace.load_target import PythonFileTarget
@pytest.fixture(name="instance")
def instance_fixture():
with instance_for_test(
... |
3221487 | from commonimport import *
if __name__ == '__main__':
yhx = robothelper.RobotHelperX(startworld=True, usereal=True)
yhx.movetox(yhx.rbt.initrgtjnts, armname="rgt")
yhx.movetox(yhx.rbt.initlftjnts, armname="lft")
yhx.closegripperx(armname="rgt")
yhx.closegripperx(armname="lft")
yhx.opengripperx... |
3221546 | import os
import tarfile
import shutil
from subprocess import check_call
from fmpy.util import download_file
url = 'https://github.com/rpclib/rpclib/archive/refs/tags/v2.3.0.tar.gz'
checksum = 'eb9e6fa65e1a79b37097397f60599b93cb443d304fbc0447c50851bc3452fdef'
# build configuration
config = 'Release'
download_file(u... |
3221549 | import os
import time
import boto3
from botocore.exceptions import ClientError
from botocore.client import Config
from django.utils.crypto import get_random_string
from storages.utils import setting, lookup_env
def get_bucket_name():
return setting("AWS_STORAGE_BUCKET_NAME") or lookup_env(
["DJANGO_AWS_S... |
3221552 | import logging
from abc import ABCMeta
import aiohttp
import jinja2
import sender
import telepot
from jinja2 import PackageLoader
from page_monitor import config
env = jinja2.Environment(loader=PackageLoader('page_monitor', 'templates'))
email_template = env.get_template('email.html')
logger = logging.getLogger(__na... |
3221563 | from flask import render_template, flash, redirect, url_for, session, g, request, Blueprint, jsonify
from flask_login import login_required, login_user, logout_user, current_user
from app import app, db, login_manager
from ..forms import LoginForm, RegistrationForm, QuestionForm, AnswerForm, TagForm
from .models import... |
3221602 | from game_apis.data_flow import DataFlow
from azure.storage.blob import BlockBlobService
from io import StringIO
import yaml
import json
class AzureBlobFlow(DataFlow):
ID = 'AZUREBLOB_CREDS'
def __init__(self, config, sandbox=False, local_config=False):
super().__init__(config, sandbox, local_config)... |
3221636 | import numpy as np
import os
from functools import partial
try:
import nibabel as nib
import cifti
except ModuleNotFoundError:
raise Exception('Please install nibabel and cifti in your work station')
def load_brainimg(imgpath, ismask=False):
"""
Load brain image identified by its suffix.
The su... |
3221644 | import random
import boto3
from base import ProxyRotator
class AWSCommand(object):
'''Class encapsulating the aws ec2 API'''
def __init__(self, config=None):
self.ec2 = boto3.resource('ec2')
self.config = config
def create_ec2(self, **params):
return self.ec2.create_instances(MaxC... |
3221692 | import json
import logging
import unittest
from datetime import datetime
from datetime import timedelta
from http.client import IncompleteRead
from unittest import mock
import pika
from freezegun import freeze_time
from parameterized import parameterized
from pika.exceptions import AMQPConnectionError, AMQPChannelErro... |
3221694 | from layers import ProcessingLayer
from lexical_shortcuts.shortcuts_attention_modules import \
MultiHeadAttentionShortcuts, \
MultiHeadAttentionShortcutsFeatureFusion, \
MultiHeadAttentionShortcutsFeatureFusionNonLexical
class ShortcutsAttentionBlock(object):
""" Defines a single attention block (ref... |
3221698 | import sal.plugin
TITLES = {'ok': 'Machines with less than 80% disk utilization',
'warning': 'Machines with 80%-90% disk utilization',
'alert': 'Machines with more than 90% disk utilization'}
class DiskSpace(sal.plugin.Widget):
description = 'Available disk space'
template = 'plugins/tr... |
3221763 | import threading
import subprocess
import ns_daemon
import psutil
import time
import json
from termcolor import colored
import sys
import time
import docker
for sock in psutil.net_connections():
if sock.laddr.port == 53:
print(colored("error : ","red",attrs=['bold']),colored("a service is running on por... |
3221766 | from delorean import Delorean
from gryphon.data_service.auditors.orderbook_auditor import OrderbookAuditor
class CoinbaseOrderbookAuditor(OrderbookAuditor):
def __init__(self):
super(CoinbaseOrderbookAuditor, self).__init__()
self.exchange_name = 'COINBASE_BTC_USD'
product_id = 'BTC-USD'
... |
3221779 | r"""``sphobjinv.cli`` *subpackage definition module*.
``sphobjinv`` is a toolkit for manipulation and inspection of
Sphinx |objects.inv| files.
**Author**
<NAME> (<EMAIL>)
**File Created**
15 Nov 2020
**Copyright**
\(c) <NAME> 2016-2021
**Source Repository**
https://github.com/bskinn/sphobjinv
**D... |
3221799 | from parsel import Selector
from utils import download, get_last_part_url, catch_errors
from data import VideoContent, ImageContent, Meme, Author, Tag, Page
from json import loads
import html
import re
ROOT = "https://9gag.com"
NEXT_CURSOR = re.compile("after=(.+)&c=(\\d+)")
def scrap(url, nsfw=False):
data = do... |
3221807 | import csv
from elasticsearch_dsl import connections
from elasticsearch_dsl import Search
connections.create_connection(hosts=["localhost"], timeout=20)
s = Search(index="fluentd-*")
# only return the selected fields
s = s.source(
[
"str_time",
"timestamp",
"handler",
"ellapsed_m... |
3221808 | import os
import yaml
from easydict import EasyDict
def create_config(config_file_exp):
with open(config_file_exp, 'r') as stream:
config = yaml.safe_load(stream)
print(yaml.dump(config))
cfg = EasyDict(config)
# Copy
# for k, v in config.items():
# cfg[k] = v
... |
3221820 | import numpy as np
class Preprocessor:
def __init__(
self,
users_dataframe=None,
items_dataframe=None,
interactions_dataframe=None,
item_id_column=None,
items_feature_columns=None,
user_id_column=None,
user_features_co... |
3221846 | from django.contrib import messages
from django.http import HttpResponse
from django.shortcuts import redirect, render
from django.utils.timezone import now
from django.views.decorators.http import require_http_methods
from api.utils import api_login_required, handle_api_errors
from core.admin_menus import AdminMenuIt... |
3221874 | from __future__ import absolute_import, division, print_function
import csv
import logging
import os
import sys
from collections import OrderedDict
from io import open
import numpy as np
from nltk import word_tokenize
logger = logging.getLogger(__name__)
class ExplaGraphInputExample(object):
def __init__(self,... |
3221880 | import os
import glob
import fnmatch
import subprocess as sp
from contextlib import contextmanager
import pytest
example_dir = os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), "examples")
def discover_examples():
return glob.glob(os.path.join(example_dir, "example_*.py"))
def example... |
3221881 | class Config(object):
'''Project configuration class.
'''
# Model configurations.
# Maximum number of characters per sentence.
MAX_TEXT_LEN = 200
# Dimension of the dense word embedding.
EMBEDDING_DIM = 64
# Determines N in N-grams.
# Each element in the list must have a correspond... |
3221883 | import numpy as np
from scipy.optimize import linear_sum_assignment
from ._base_metric import _BaseMetric
from .. import _timing
from collections import defaultdict
from .. import utils
class IDEucl(_BaseMetric):
"""Class which implements the ID metrics"""
@staticmethod
def get_default_config():
... |
3221943 | import os
from typing import List, Tuple, Callable
import boto3
import boto3_type_annotations.dynamodb as ddb
import pandas as pd
from boto3.dynamodb.conditions import Key
from pandas import DataFrame
from analysis.tools.test_instance import TestInstance
def _when(value):
if "after" in value:
return "af... |
3221985 | import os
import sys
import logging
# This is the main prefix used for logging
LOGGER_BASENAME = '''_CI._initialize_template'''
LOGGER = logging.getLogger(LOGGER_BASENAME)
LOGGER.addHandler(logging.NullHandler())
def add_ci_directory_to_path():
current_file_path = os.path.dirname(os.path.abspath(__file__))
... |
3222036 | from pathlib import Path
from typing import Tuple, Union
import h5py
from tensorflow import keras
from tensorflow.keras.layers import BatchNormalization, Dense, Dropout, Input
from tensorflow.python.keras.saving import hdf5_format
from ms2deepscore import SpectrumBinner
class SiameseModel:
"""
Class for trai... |
3222054 | import os
import random
import tempfile
import unittest
from asn1crypto import keys
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import serialization
from cryptography.hazmat.primitives.asymmetric import ec
from loopchain.crypto.signature import Signer, SignVerifier, lo... |
3222085 | from View.TodayView import TodayView
from View.ActivityView import ActivityView
from View.FindView import FindView
from Controller.TodayController import TodayController
from Controller.activityController import ActivityController
from Controller.FindController import FindController
from Controller.myThread import myTh... |
3222096 | import re
from datetime import timedelta
from enum import Enum
from typing import Union, Tuple, List
from django.apps import apps
from django.core import exceptions
from django.conf import settings
from django.db.models import F, Count, Min, Max, Sum, Value, Avg, ExpressionWrapper, DurationField, FloatField, Model, JS... |
3222101 | from setuptools import setup, find_packages
setup(
name="learn2branch",
version="1.0.0",
author="<NAME>, <NAME>, <NAME>, <NAME>, <NAME>",
install_requires=["numpy", "scipy"],
packages=["learn2branch"],
package_dir={"learn2branch": "."},
)
|
3222137 | import abc
from typing import Dict, Hashable, NamedTuple
import jax
import jax.experimental.host_callback as hcb
import jax_dataclasses
import numpy as onp
import sksparse
from jax import numpy as jnp
from overrides import EnforceOverrides, overrides
from .. import hints
from ._sparse_matrix import SparseCooMatrix
... |
3222195 | import json
import re
from urllib.parse import urlparse
import scrapy
from scrapy.selector import Selector
from locations.items import GeojsonPointItem
from locations.hours import OpeningHours
class GoldsGymSpider(scrapy.Spider):
name = "goldsgym"
item_attributes = { 'brand': "Gold's Gym" }
allowed_domai... |
3222278 | import glob
import os
import json
from tqdm.notebook import tqdm
json_path = "/content/drive/My Drive/Projects/ThaiSum-Dataset/simple-json/test-set-our-sent-segmentation/BertSum"
save_path = "/content/drive/My Drive/Projects/ThaiSum-Dataset/simple-json/test-set-our-sent-segmentation/ARedSum"
json_files = glob.glob(os... |
3222291 | from pathlib import Path
SRC_DIR = Path(__file__).parent
TEMPLATE_DIR = SRC_DIR / "template"
SITE_DIR = SRC_DIR / "site"
DATA_DIR = SRC_DIR / "data"
IGNORED_FILES = ["template.html", ".DS_Store"]
INVALIDATIONS = ["/index.html", "/css/style.css"]
LISTS_MAPPING = {
"learning_resources": "📚 Learning Resourc... |
3222294 | import datetime
def _get_duration_components(duration):
days = duration.days
seconds = duration.seconds
microseconds = duration.microseconds
minutes = seconds // 60
seconds = seconds % 60
hours = minutes // 60
minutes = minutes % 60
return days, hours, minutes, seconds, microseconds... |
3222295 | import pandas as pd
from ta_scanner.data.data import (
__gen_values,
__gen_cols,
db_insert_df_conflict_on_do_nothing,
)
def fake_df_ab():
data = {"a": [1, 2, 3], "b": [11, 22, 33]}
df = pd.DataFrame(data, columns=["a", "b"])
return df
def test_gen_values():
df = fake_df_ab()
expected... |
3222302 | import math
import os
from demosys.effects import effect
class TextRendererEffect(effect.Effect):
def __init__(self):
super().__init__()
with open(os.path.join(os.path.dirname(__file__), 'sample.txt'), 'r') as fd:
lines = fd.readlines()
TextRenderer2D = self.get_effect_clas... |
3222317 | import io
import os
from urllib.parse import urlparse
import requests
import yaml
from doozerlib.exceptions import DoozerFatalError
from doozerlib.exectools import cmd_assert
from doozerlib.logutil import getLogger
from doozerlib.model import Missing
from doozerlib.pushd import Dir
from doozerlib.util import is_in_di... |
3222325 | import sys
import unittest
from dynd import nd, ndt
if sys.version_info >= (3, 0):
unicode = str
@unittest.skip('Test disabled since callables were reworked')
class TestUnicode(unittest.TestCase):
def test_array_string(self):
a = nd.array("Testing 1 2 3")
self.assertEqual(nd.type_of(a), ndt.st... |
3222331 | from .anime import *
from .user import *
from .library import *
from .manga import *
from .drama import *
from .auth import *
from .mappings import *
class Kitsu:
"""
:ivar KitsuAnime anime: Instance interface for the Kitsu Anime endpoints
:ivar KitsuUser user: Instance interface for the Kitsu Use... |
3222339 | import logging
from uuid import UUID
from typing import Optional, Dict, List, cast
from asyncio import TimeoutError
from asyncio.events import AbstractEventLoop
from CoreBluetooth import ( # type: ignore
CBService,
CBPeripheralManager,
CBMutableCharacteristic,
CBAdvertisementDataLocalNameKey,
CB... |
3222396 | from models.swarm.BFO import ABFOLS
from utils.FunctionUtil import *
## Setting parameters
root_paras = {
"problem_size": 30,
"domain_range": [-100, 100],
"print_train": True,
"objective_func": C1
}
abfols_paras = {
"epoch": 1000,
"pop_size": 250,
"Ci": [0.1, 0.001], # C_s (start), ... |
3222439 | from modules.EventManager import EventManager
import opentera.db.models as models
from modules.DatabaseModule.DBManagerTeraUserAccess import DBManagerTeraUserAccess
import opentera.messages.python as messages
class UserEventManager(EventManager):
def __init__(self, user: models.TeraUser):
EventManager.__i... |
3222501 | from datetime import datetime
from http import HTTPStatus
from operator import itemgetter
from typing import List, Optional, Tuple, Union, cast
import faiss
import torch
from fastapi import FastAPI, Request
from pydantic import BaseSettings
from semantic_search import __version__
from semantic_search.common.util impo... |
3222506 | import re
import nltk
from helpfunctions import mutual_exclusive_score
eventTimePath = '0_Preprocessing/corpus/eventtime/event-times_normalized.tab'
eventTimes = {}
predLabelPosition = -1
def getDates(value):
"""
Normalizes TimeX Value, Normalize seasons and weeks
return the normalized dates in value
... |
3222515 | import torch
from torch import nn
import torch.nn.functional as F
from models.attention import ChannelAttention, SpatialAttention
class BasicConvBlock(nn.Module):
def __init__(self, in_chans, out_chans, stride=1):
super().__init__()
self.layers = nn.Sequential(
nn.Conv2d(in_chans, out... |
3222580 | def time_stretch(audio, factor, sample_rate=44100):
import pyrubberband as pyrb
return pyrb.time_stretch(audio, sample_rate, factor)
def load_audio(filepath):
# returns loaded mono audio.
from essentia.standard import MonoLoader
return MonoLoader(filename=filepath)()
def save_audio(audio, filena... |
3222591 | import pybithumb
tickers = pybithumb.get_tickers()
print(tickers)
print(len(tickers))
print(type(tickers))
|
3222617 | from typing import (
Any,
Union,
)
from psycopg2.sql import (
Composable,
)
from minos.common import (
DatabaseOperation,
)
class AiopgDatabaseOperation(DatabaseOperation):
"""Aiopg Database Operation class."""
def __init__(self, query: Union[str, Composable], parameters: dict[str, Any] = N... |
3222654 | from common import *
import datetime
import argparse
import time
here = os.path.abspath(os.path.dirname(__file__))
app_dir = os.path.join(here, '../pyg/multi_gpu')
"""
if log_dir is not None, it will only parse logs
"""
def overall_perf_test(log_folder=None, mock=False):
tic = time.time()
if log_folder... |
3222655 | import uuid
from typing import Dict, List, Optional
from pydantic import BaseModel, validator
import modules.models.enums as enums
from ..base_models import APIResponse, BaseUser, IDResponse
class BotResource(BaseModel):
resource_title: str
resource_link: str
resource_description: str
class BotResour... |
3222680 | import tensorflow as tf
import resnet
import learning_rate
#import horovod.tensorflow as hvd
from npu_bridge.estimator.npu.npu_optimizer import NPUDistributedOptimizer
from npu_bridge.estimator import npu_ops
#import optimizer
class Model(object):
def __init__(self, params):
self.params = params
def model_f... |
3222717 | from uuid import uuid4
import requests
from contextlib import ExitStack
from gzip import GzipFile
from io import TextIOWrapper
import json
import flux
import pytest
from .utils import raises_not_found
def test_add_error(error_container, error_data, webapp):
timestamp = flux.current_timeline.time()
error_co... |
3222747 | from qtpy.QtWidgets import QDialog, QVBoxLayout, QLineEdit, QPushButton
class GetTextDialog(QDialog):
def __init__(self, window_title='', init_text='', placeholder_text='', parent=None):
super().__init__(parent=parent)
self.text = ''
self.setLayout(QVBoxLayout())
self.line_edit = Q... |
3222760 | import datetime
import django.test
from django.utils import timezone
from ftc.models import Organisation, OrganisationType, Scrape, Source
class TestCase(django.test.TestCase):
def setUp(self):
ot = OrganisationType.objects.create(title="Registered Charity")
ot2 = OrganisationType.objects.create... |
3222777 | import asyncio
import sys
from pathlib import Path
from typing import Any, AsyncIterator, Callable
import pytest
from yarl import URL
from neuro_sdk import Client
from neuro_sdk.url_utils import (
_extract_path,
normalize_local_path_uri,
normalize_storage_path_uri,
uri_from_cli,
)
@pytest.fixture
as... |
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