id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
1712700 | from typing import List
import click
from bubop import (
check_optional_mutually_exclusive,
format_dict,
log_to_syslog,
logger,
loguru_tqdm_sink,
)
from taskwarrior_syncall import inform_about_app_extras
try:
from taskwarrior_syncall import GCalSide
except ImportError:
inform_about_app_ex... |
1712807 | import sys
from itertools import compress, chain
from ..exceptions import *
from .valuechange import ValueChange
class Wire:
def __init__(self, name, width=1):
self.name = name
self._data = ValueChange(width)
@classmethod
def from_data(cls, name, data, width=1):
wire = cls(name=n... |
1712822 | from unittest import mock
import pytest
from .vcr import replace_auth, vcr
@pytest.fixture
def username():
return "cuca"
@pytest.fixture
def password():
return "<PASSWORD>"
@pytest.fixture
def request_body(username, password):
body = (
"<?xml version=''1.0'' encoding=''utf-8''?>"
'<s... |
1712837 | import datetime
from django.test import TestCase
from django.utils import formats
from audit_trail.stringifier import ModelFieldStringifier
from ..models import TestStringifierModel, SomePerson, AzazaField
from audit_trail.models import AuditTrail
class TestModelDefaultFieldStringifier(TestCase):
def get_field(se... |
1712858 | from wtforms import Form, StringField, PasswordField, validators
class RegistrationForm(Form):
username = StringField('Username', [validators.Length(min=4, max=25)])
password = PasswordField('<PASSWORD>', [
validators.DataRequired(),
validators.EqualTo('confirm', message='Passwords must match'... |
1712894 | from pyignite import Client
from SimpleData import SimpleData
import time
# Progress
# Writing and Reading from python works
# Writing and Reading from dotnet works
# Finds its own Binary type
# Works with objects and dynamics
# TODO: Move this to samples
# Not sure about subscribing to a stream
def preview(cache):
... |
1712931 | def extractItsgellisalinHomeBlog(item):
'''
DISABLED
Parser for 'itsgellisalin.home.blog'
'''
# Gone
return None |
1712937 | from typing import Type
from guniflask.beans.factory import BeanFactory
from guniflask.context.event import ApplicationEvent
from guniflask.context.event_listener import ApplicationEventListener
from guniflask.data_model.typing import inspect_args
class ApplicationEventPublisher:
def __init__(self, bean_factory:... |
1712940 | from pynput.keyboard import Key, Listener
import winsound
import string
keyReleaseDict={}
for keys in Key:
keyReleaseDict[str(keys)] = True
for alphabets in string.printable:
if alphabets == "'":
quote = "'"
keyReleaseDict[f'"{quote}"'] = True
continue
elif alphabets =... |
1712949 | from .connections import Connection
from .lib.Gen.ttypes import *
from typing import Union
class Shop(Connection):
def __init__(self, auth):
super().__init__("/SHOP4")
self.auth = auth
self.updateHeaders({
'User-Agent': self.auth.UA,
'X-Line-Application': self.auth.LA,
})
def afterLogin(self, *args,... |
1712953 | from marinetrafficapi.query_params import QueryParams
class VD01QueryParams(QueryParams):
"""Query params for VD01 API call."""
ship_id = 'shipid', 'A uniquely assigned ID by \n' \
'MarineTraffic for the subject vessel.'
vessel_id = 'vessel_id', 'The Maritime Mobile Service Ident... |
1712962 | from tkinter import *
import tkinter.font
from tkinter import ttk
class TagList(Frame):
def __init__(self, parent):
#self.container = container
self.master = parent
self.tree = None
self.tree_columns = ("tag","count")
self._setup_widgets()
self._init_tree()
... |
1713102 | import os
class WsgiConfig(object):
DEBUG = False
FLASK_SERVER_NAME = os.getenv('SHOVEL_FLASK_SERVER_NAME', 'localhost')
FLASK_SERVER_PORT = os.getenv('SHOVEL_FLASK_SERVER_PORT', '5000')
# FIXME this should be investigated further
if FLASK_SERVER_PORT == '80':
SERVER_NAME = FLASK_SERVER... |
1713118 | import tensorflow as tf
import ops_compress
from BlockWiseEmbedding import BlockWiseEmbeddingForInput as bl
from BlockWiseEmbedding import BlockWiseEmbeddingForSoftmax as bs
import time
class NextItNet_Decoder:
def __init__(self, model_para):
self.model_para = model_para
embedding_width = model_p... |
1713145 | from datetime import datetime
import unittest
from pybacklogpy.Category import Category
from tests.utils import get_project_id_and_key, response_to_json
class TestCategory(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.category = Category()
cls.project_id, cls.project_key = get_pro... |
1713164 | from django.conf import settings
from django.contrib import admin
from django.forms.widgets import Media
from django_summernote.admin import SummernoteModelAdmin, SummernoteModelAdminMixin
from django_summernote.utils import get_theme_files
from .models import Post, Book, Author
class BookAdmin(admin.ModelAdmin):
... |
1713172 | import time
import unittest
from vika import Vika
from . import TEST_API_BASE, TEST_API_TOKEN, TEST_TABLE
class TestUpdateRecords(unittest.TestCase):
def setUp(self):
vika = Vika(TEST_API_TOKEN)
vika.set_api_base(TEST_API_BASE)
self.dst = vika.datasheet(TEST_TABLE)
def test_record_u... |
1713218 | import os
from time import sleep
import pytest
import requests
from datadog_checks.dev import docker_run, get_docker_hostname, get_here
BOOTSTRAP = {
'action': 'create_cluster',
'cluster': {'name': 'demo.local'},
'node': {'paths': {'persistent_path': '/var/opt/redislabs/persist', 'ephemeral_path': '/var/... |
1713221 | from django.contrib import admin
from .models import (Category, Comment, Favorite, Gallery, Implication, Post,
PostTag, ScoreVote, Configuration)
admin.site.register(Post)
admin.site.register(Category)
admin.site.register(PostTag)
admin.site.register(Implication)
admin.site.register(Favorite)
adm... |
1713293 | import streamlit as st
import streamlit.components.v1 as stc
import pandas as pd
from file_utils import file_uploads, FileDownloader
import streamlit.components.v1 as components
import textwrap # SVG testing
import base64
from logger import logger
import os
## CUSTOM COMPONENTS
# https://docs.streamlit.io/en/stable... |
1713323 | import FWCore.ParameterSet.Config as cms
process = cms.Process("TEST")
process.options = cms.untracked.PSet(
numberOfStreams = cms.untracked.uint32(1)
)
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring(
'file:testRandomServiceMerge1.root'
),
firstRun = cms.untracked... |
1713362 | from typing import Any
from strawberry.asgi.handlers import (
GraphQLTransportWSHandler as BaseGraphQLTransportWSHandler,
)
class GraphQLTransportWSHandler(BaseGraphQLTransportWSHandler):
async def get_context(self) -> Any:
return await self._get_context()
async def get_root_value(self) -> Any:
... |
1713380 | import re
from io import BytesIO
from fabric.contrib.console import confirm
from fabric.contrib.files import sed, uncomment, exists
from fabric.decorators import task
from fabric.operations import sudo, prompt, put
from fabric.utils import abort
from fabdeb.apt import apt_install
from fabdeb.os import user_exists, serv... |
1713383 | import tensorflow as tf
import tensorflow.contrib.slim as slim
import numpy as np
from .augment import random_photometric
from .flow_util import flow_to_color
from .losses import charbonnier_loss
from .flownet import flownet
from .unsupervised import _track_image, _track_loss, FLOW_SCALE
def supervised_loss(batch, p... |
1713413 | from ewah.hooks.sql_base import EWAHSQLBaseHook
import cx_Oracle
from typing import Optional, List, Union
class EWAHOracleSQLOperator(EWAHSQLBaseHook):
_DEFAULT_PORT = 1521
_ATTR_RELABEL = {
"user": "login",
"sid": "schema",
}
conn_name_attr = "ewah_oracle_conn_id"
default_con... |
1713437 | from freezegun import freeze_time
from rest_framework import test
from waldur_mastermind.marketplace import models as marketplace_models
from .. import tasks
from . import fixtures
@freeze_time('2020-02-01')
class TaskTest(test.APITransactionTestCase):
def setUp(self):
self.fixture = fixtures.BookingFix... |
1713442 | from setuptools import setup, find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='rmate',
version='1.... |
1713452 | import unittest
from druzhba.db import ConnectionParams, DatabaseConfig
class DbTest(unittest.TestCase):
def test_connection_string(self):
config = DatabaseConfig(
"test_db",
"mysql",
("postgresql://test_user:test_password@test-db.prod:5439/" "test_db_name"),
)... |
1713454 | import ast
from typing import Dict
from boa3.model import set_internal_call
from boa3.model.builtin.interop.nativecontract import StdLibMethod
from boa3.model.variable import Variable
class MemorySearchMethod(StdLibMethod):
def __init__(self):
from boa3.model.type.type import Type
identifier = '... |
1713473 | from test.common_test_util import expected_result
from test.hquery.hquery_test_util import query_html_doc
def test_parentheses_boost_precedence():
assert query_html_doc('', '(2+3)*3') == expected_result('15')
assert query_html_doc('', '3*(3+2)') == expected_result('15')
assert query_html_doc('', '2+3*3 !=... |
1713545 | import os
import sys
import io
import openpyxl
from .file import ArchiveFile
from .db_core import VfsDatabase, VfsNode
from .ff_adf import AdfDatabase
from .export_import_adf import adf_export_xlsx_0x0b73315d
from .util import make_dir_for_file
def process_translation_adf(vfs: VfsDatabase, adf_db: AdfDatabase, node:... |
1713559 | import importlib
import pathlib
from types import ModuleType
from typing import Optional
from . import py_module
from .exceptions import InvalidPluginError
from .plugin import PluginBase
from .py_module import _parse_entry_point
def _load(module: ModuleType, func_name: str) -> PluginBase:
entry_point = getattr(m... |
1713571 | import os
import pytest
from ansys.mapdl import core as pymapdl
from ansys.mapdl.core import examples
def test_convert_no_use_function_names(tmpdir):
vm_file = examples.vmfiles["vm1"]
pyscript = str(tmpdir.mkdir("tmpdir").join("vm1.py"))
clines = pymapdl.convert_script(
vm_file, pyscript, loglevel... |
1713639 | import os
import sys
import warnings
warnings.filterwarnings("ignore", category=FutureWarning)
warnings.simplefilter(action='ignore', category=Warning)
import torch |
1713645 | import time
import jimi
class _collect(jimi.action._action):
useCustomData = bool()
customData = dict()
limit = int()
def __init__(self,restrictClass=True):
self.events = []
return super(_collect, self).__init__(restrictClass)
def doAction(self,data):
try:
if "skip" in data["flowData"]:
del data["... |
1713688 | def helper(got,expect):
if got == expect: print True
else: print False, expect, got
print "\nstr.count"
helper('abcd abcba '.count('abc'),2)
helper('abcd abcba '.count('z'),0)
helper('abcd abcba '.count('abc',1),1)
helper('abcd abcba '.count('abc',-1),0)
helper('abcd abcba '.count('abc',5),1)
helper('abcd abc... |
1713711 | from __future__ import absolute_import, unicode_literals
from django.contrib.auth import get_user_model
from django.contrib.contenttypes.models import ContentType
from django.test import override_settings
from django.urls import reverse
from rest_framework.test import APITestCase
from documents.models import Documen... |
1713716 | import io
import pytest
import numpy
from unittest import mock
from gym.spaces import Box
def test_attributes(basic_env):
assert basic_env.action_space.n == 2 ** 2
assert basic_env.observation_space == Box(low=1., high=float('Inf'), shape=(1, 2))
assert basic_env.starting_bank == 10
assert basic_env.... |
1713726 | import os, sys
sys.path.append(os.path.dirname(os.path.abspath(os.getcwd())))
from data import goes16s3
from tools import utils, inference_tools, plotting
from slomo import unet
import matplotlib
#matplotlib.use("Agg")
import matplotlib.pyplot as plt
import numpy as np
import datetime as dt
import time
import os
im... |
1713731 | import rospy
from datetime import datetime
import csv
import rosbag
import os
import cv2
import time
from cv_bridge import CvBridge, CvBridgeError
import numpy as np
from sensor_msgs.msg import Image
def getCurrentTimeStamp():
now = datetime.now()
timestamp = time.mktime(now.timetuple())
return int(timestamp)
''... |
1713769 | from django.conf.urls import patterns, url
# Uncomment the next two lines to enable the admin:
urlpatterns = patterns('parks.views',
# Examples:
# returns park list
url(r'^search/$', 'get_parks', name='get_parks'),
# returns list of all neighborhood names and ids and activity names and ids
u... |
1713803 | from domHttpx.colors import Color
def tab():
print('\n')
def info(text):
print('[' + Color.CBLUE2 + 'INFO' + Color.ENDC + '] ' + text)
def success(text):
print('\n[' + Color.CGREEN2 + 'SUCCESS' + Color.ENDC + '] ' + text)
def error(text):
print('[' + Color.CRED2 + 'ERROR' + Color.ENDC + '] ' + text... |
1713826 | from run import app
# region Route Test
def test_get_routes():
request, response = app.test_client.get(
'/api/v1/api-map'
)
assert response.status == 200
# endregion
|
1713833 | from setuptools import setup, find_packages
setup(
name="acres",
version="0.1.0",
author="<NAME>",
description="ML-based barcode sharpening.",
license="MIT",
packages=find_packages(),
install_requires=[
# When running on GCP, tensorflow is guaranteed via `runtimeVersion: "1.5"`.
... |
1713859 | import pathlib
import unittest
import numpy as np
import pandas as pd
from surgeo.models.geocode_model import GeocodeModel
class TestGeocodeModel(unittest.TestCase):
_GEOCODE_MODEL = GeocodeModel()
_GEOCODE_MODEL_TRACT = GeocodeModel(geo_level='TRACT')
_DATA_FOLDER = pathlib.Path(__file__).resolve().p... |
1713863 | from blog.models import Entry, Blogmark, Quotation
from django.conf import settings
from django.core.cache import cache
def all(request):
return {
"GOOGLE_ANALYTICS_ID": settings.GOOGLE_ANALYTICS_ID,
"years_with_content": years_with_content(),
}
def years_with_content():
cache_key = "yea... |
1713900 | from .viz import plot_cluster_centers, plot_segmentation
__all__ = ('plot_cluster_centers', 'plot_segmentation') |
1713933 | from scipy.misc.pilutil import imresize
import numpy as np
__author__ = 'peter'
def resize_while_preserving_aspect_ratio(im, x_dim=None, y_dim=None):
"""
Resize an image, while preserving the aspect ratio. For this you need to specify either x_dim or y_dim.
:param im: The image: a 2D or 3D array.
:p... |
1713940 | import torch
import torch.nn as nn
import numpy as np
from gns import graph_network
from torch_geometric.nn import radius_graph
from typing import Dict
class LearnedSimulator(nn.Module):
"""Learned simulator from https://arxiv.org/pdf/2002.09405.pdf."""
def __init__(
self,
particle_dimensions... |
1713953 | import datetime
from time import gmtime,localtime, strftime
import time
from flask import Flask
from flask import jsonify
import socket
# print a nice greeting.
def say_hello(username = "World"):
return 'Hello %s!</p>\n' % username
def get_date_time():
secs = int(time.time())
dtval = localtime()
ret... |
1714008 | import numpy as np
import cv2
import pickle
class LoadData:
'''
Class to laod the data
'''
def __init__(self, data_dir, classes, h):
'''
:param data_dir: directory where the dataset is kept
:param classes: number of classes in the dataset
:param cached_data_f... |
1714045 | from .tasks import SetupTask
from .tasks import InvokeTask
from .tasks import MakeZipTask
from .tasks import AWSLambdaGetConfigTask
from .tasks import AWSLambdaInvokeTask
from .tasks import AWSLambdaUpdateCodeTask
|
1714064 | import numpy as np
import scipy.signal, scipy.linalg
from .utils import *
from .signal import *
from .wavelets import *
__all__ = ["allpass", "leja", "sfact", "selesnick_hwlet", "evenbly_white_hwlet"]
def allpass(tau, L):
"""
Return the filter d[n] such that
A(z) = z^{-L} D(1/z) / D(z)
approximat... |
1714079 | import os
import tempfile
try:
import subprocess32 as subprocess
except:
import subprocess
import random
import uuid
from concurrent.futures import ThreadPoolExecutor
import re
from pandaharvester.harvestercore import core_utils
from pandaharvester.harvestercore.plugin_base import PluginBase
from pandaharves... |
1714117 | from torch.nn import functional as F
from models.DLCT.utils import PositionWiseFeedForward
import torch
from torch import nn
from models.DLCT.attention import MultiHeadBoxAttention as MultiHeadAttention
from ..relative_embedding import BoxRelationalEmbedding, GridRelationalEmbedding, AllRelationalEmbedding
class Self... |
1714121 | from .__about__ import __version__
from .check import JfrogPlatformCheck
__all__ = ['__version__', 'JfrogPlatformCheck']
|
1714128 | from PyQt4 import QtGui, QtCore
import maya.OpenMayaUI as mui
import sip
DOCK_OBJECT = "dock_name"
DEFAULT_DOCK = QtCore.Qt.RightDockWidgetArea
# Get Main Window
pointer = mui.MQtUtil.mainWindow()
maya_main_window = sip.wrapinstance(long(pointer), QtCore.QObject)
# Check for existing dock
existing_dock = maya_main_w... |
1714151 | import can_decoder
import mdf_iter
from pathlib import Path
def setup_fs():
"""Helper function to setup the file system for the examples.
"""
from fsspec.implementations.local import LocalFileSystem
fs = LocalFileSystem()
return fs
def example_decode_using_dateframe_j1939_a():
"""... |
1714161 | import anki_vector
from anki_vector.events import Events
import cv2 as cv
import numpy as np
import time
import math
# Constants
Debug = False
# milliseconds per main loop execution
MainLoopDelay = 20
HeadTilt = anki_vector.robot.MIN_HEAD_ANGLE + anki_vector.util.degrees(5.0)
LiftHeight = 0.0
class Camera:
FovH =... |
1714211 | from PySide2.QtWidgets import QDockWidget
class QSmartDockWidget(QDockWidget):
"""
Wrapper class for dock widgets.
"""
def __init__(self, caption, parent=None, on_close=None, on_raise=None):
super().__init__(caption, parent)
self.old_size = None
self.original_min = None
... |
1714225 | import cv2 as cv
import numpy as np
from skimage.measure import compare_ssim
####### 接口函数为is_continue()、continue_frames()、cut_clips() #######
def matches(current, next):
queryImage = current
trainingImage = next # 读取要匹配的灰度照片
sift = cv.xfeatures2d.SIFT_create() # 创建sift检测器
kp1, des1 = sift.de... |
1714271 | t = int(input())
arr = []
while t:
a, b, c = map(int, input().split(" "))
arr.clear()
arr.append(a)
arr.append(b)
arr.append(c)
arr.sort()
print(arr[1])
t = t-1 |
1714314 | from annotation_utils.linemod import Linemod_Dataset
dataset = Linemod_Dataset.load_from_path('/home/clayton/workspace/prj/data_keep/data/misc_dataset/new/LINEMOD/cat/train.json')
dataset.save_to_path('temp.json', overwrite=True)
assert Linemod_Dataset.from_dict(dataset.to_dict()) == dataset
print('Test Passed') |
1714419 | import json
import numpy as np
video = json.load(open('/nobackup-slow/dataset/my_xfdu/video/vis/train/instances.json'))
all_video_id = list(range(1, len(video['videos']) + 1))
train_video_id = np.random.choice(all_video_id, int(len(all_video_id) * 0.8), replace=False)
test_video_id = list(set(all_video_id) - set(train... |
1714449 | import torch.utils.data as data
import os
import os.path
from scipy.ndimage import imread
import numpy as np
from skimage import color
import random
#from matlab_imresize.imresize import *
# import matlab_imresize
from skimage import img_as_float
from skimage.measure import compare_ssim,compare_psnr
def BayesSR_loade... |
1714456 | from __future__ import absolute_import, division, print_function
def run():
try: import numpy
except ImportError: print("None")
else: print(numpy.__version__)
if (__name__ == "__main__"):
run()
|
1714476 | import os
import pytest
import torch
import ignite.distributed as idist
from ignite.exceptions import NotComputableError
from ignite.metrics.gan.inception_score import InceptionScore
def calculate_inception_score(p_yx):
p_y = torch.unsqueeze(p_yx.mean(axis=0), 0)
kl_d = torch.kl_div(torch.log(p_y), p_yx)
... |
1714484 | import os
import pickle
import numpy as np
from scipy.io import loadmat
from sklearn.preprocessing import normalize
from sklearn.metrics import (f1_score, accuracy_score, precision_recall_fscore_support,
precision_recall_curve, auc, roc_curve)
from imblearn.metrics import classif... |
1714488 | import panel as pn
import param
class Dashboard(param.Parameterized):
file_selector = param.FileSelector()
progress = pn.widgets.Progress(active=False)
@param.depends("file_selector", watch=True)
def activate_upload_status(self):
self.progress.active = True
dashboard = Dashboar... |
1714508 | from torch.utils.data import Dataset, DataLoader
import pandas as pd
import random
from transformers import AutoTokenizer
from tqdm import tqdm
from utils.generic_utils import read
class MMDialDataset(Dataset):
def __init__(self, data, tokenizer):
super().__init__()
self.data = data
self.t... |
1714517 | import requests
from url_normalize import url_normalize
from assert_functions import assert_valid_response, assert_invalid_response
from values import api_url, auth_header, ArticlesValues as V
def test_not_authorized():
r = requests.get(api_url + f"/articles")
assert r.status_code == 401
def test_route():
... |
1714542 | import torch
from torch_geometric.data import Batch, Data
from torch_geometric.nn import ChebConv, GCNConv, MessagePassing
class MyConv(MessagePassing):
def forward(self, x, edge_index):
return self.propagate(edge_index, x=x)
def test_static_graph():
edge_index = torch.tensor([[0, 1, 1, 2], [1, 0, ... |
1714554 | from pathlib import Path
import io
import os
import pty
import subprocess
from test_driver.logger import rootlog
class VLan:
"""This class handles a VLAN that the run-vm scripts identify via its
number handles. The network's lifetime equals the object's lifetime.
"""
nr: int
socket_dir: Path
... |
1714590 | import setuptools
setuptools.setup(
name='evolutionary-optimization',
version='0.1',
packages=setuptools.find_packages(include='evopt.*'),
url='',
license='',
author='<NAME>',
author_email='',
description='Evolutionary Optimization',
install_requires=[
'matplotlib',
... |
1714622 | import itertools
import os, random
import statistics
import matplotlib
import matplotlib.pyplot as plt
from analyze_entropy import comp_entropy
from analyze_prob_attn import compute_idf, get_ban_positions
# from data_collection import CUR_DIR, PROB_META_DIR, spec_name, MODEL_NAME, DATA_NAME
from util import convert_en... |
1714645 | class Controller(object):
@classmethod
def from_flatbuffers(cls, raw_ctrl):
return cls(
id=raw_ctrl.Id(),
address=raw_ctrl.Address().decode(),
name=raw_ctrl.Name().decode(),
settings={
'powered': raw_ctrl.Powered(),
'connec... |
1714648 | from aiopg.sa import create_engine
import datetime
import psycopg2
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import (
Column, Integer, String, DateTime, ForeignKey, Text, Boolean)
from sqlalchemy.orm import relationship
from sqlalchemy.schema import CreateTable, DropTable
Base = d... |
1714651 | from prml.nn.array.array import Array, array, asarray
from prml.nn.array.reshape import reshape_method
from prml.nn.function import broadcast, broadcast_to
Array.reshape = reshape_method
|
1714674 | import unittest
from katas.kyu_7.naughty_or_nice import naughty_or_nice
class NaughtyOrNiceTestCase(unittest.TestCase):
def test_equals(self):
self.assertEqual(naughty_or_nice({
'January': {
'1': 'Naughty', '2': 'Nice', '3': 'Naughty', '4': 'Nice',
'5': 'Nice',... |
1714678 | import numpy as np
import torch
def parameter_number(model):
return sum(p.numel() for p in model.parameters() if p.requires_grad)
def normal2unit(vertices: "(vertice_num, 3)"):
"""
Return: (vertice_num, 3) => normalized into unit sphere
"""
center = vertices.mean(dim= 0)
vertices -= center
... |
1714697 | import unittest
from typing import Callable
from danlp.datasets.wiki_ann import _wikiann_process_func
from danlp.datasets.word_sim import _word_sim_process_func
from danlp.download import MODELS, download_model, DATASETS, download_dataset, _unzip_process_func, _check_process_func
from danlp.models.embeddings import _p... |
1714803 | import os
import random
import pathlib
import logging
import datetime
import argparse
import sys
import simplejson as json
import pandas as pd
import sentencepiece as spm
import pickle
from collections import namedtuple
# logging.basicConfig(format='%(levelname)s: %(message)s',
# level=logging.DEBU... |
1714812 | from typing import Tuple
import numpy as np
from qiskit.opflow.primitive_ops.pauli_sum_op import PauliSumOp
from qc_grader.grade import grade_and_submit
from qc_grader.util import paulisumop_to_json
criteria: dict = {}
def grade_lab4_ex1(matmult_result: complex) -> None:
grade_and_submit(matmult_result, 'lab... |
1714825 | import torch.nn as nn
class FlattenLayer(nn.Module):
def __init__(self):
super(FlattenLayer, self).__init__()
def forward(self, inputs):
return inputs.view(inputs.size(0), -1)
|
1714836 | import datetime
from sqlalchemy import text
from sqlalchemy.orm import relationship
from sqlalchemy import Integer, Column, String, DateTime, ForeignKey
from urllib.parse import urlparse
from pygmy.database.base import Model
from pygmy.database.dbutil import dbconnection, utcnow
class ClickMeta(Model):
__tablen... |
1714905 | import os
import sys
import pytest
from django.core.exceptions import ImproperlyConfigured
from .utils import render_template
# Needed for the custom filter tests
sys.path.append(os.path.dirname(__file__))
@pytest.mark.django_db
def test_with_custom_filter_simple(simple_content, settings):
settings.TINYCONTENT... |
1714968 | from production.envs.time_calc import *
"""
Heuristic Decision Agents
"""
class Decision_Heuristic(object):
def __init__(self, env, statistics, parameters, resources, agents, agents_resource):
self.statistics = statistics
self.parameters = parameters
self.resources = resources
... |
1715009 | import os
from dotenv import load_dotenv
load_dotenv()
def getenv(id, default=None):
"""Get an environment variable, return None if it doesn't exist.
The optional second argument can specify an alternate default.
key, default and the result are str."""
return os.getenv(id, default=default)
|
1715053 | from django.contrib import admin
from .models import Post, Like, Dislike, PostComment
admin.site.register(Post)
admin.site.register(Dislike)
admin.site.register(Like)
admin.site.register(PostComment)
|
1715059 | from django.db.backends.base.creation import BaseDatabaseCreation
import sys
class DatabaseCreation(BaseDatabaseCreation):
def _get_test_db_name(self):
return self.connection.settings_dict['TEST']['NAME']
def _create_test_db(self, verbosity, autoclobber, keepdb=False):
test_database_name = se... |
1715072 | from rich import box
from rich.table import Table
from rich import print
from nubia import context
from nubia.internal.commands.builtin import Exit
from nubia.internal.commands.help import HelpCommand
from nubia.internal.exceptions import UnknownCommand, CommandError
class _Exit(Exit):
cmd = ["exit"]
def __i... |
1715093 | if sm.hasQuestCompleted(31351): # Clean up 7
sm.warp(240092100, 2)
elif sm.hasQuestCompleted(31348):
sm.warp(240092101, 2)
else:
sm.warp(240092100, 2) |
1715100 | import csv
import json
from functools import reduce
from tqdm import tqdm
file = open("report.txt", "w")
def show(text = ""):
print(text)
file.write(text + "\n")
print("Loading config...")
config = json.load(open("config.json"))
do_usda = config["usda"]
do_foodon = config["foodon"]
do_recipes = config["rec... |
1715146 | import abc
from typing import Iterable, Optional, Type, Union
from .adapters import (TensorAdapter, _numpy_adapter, _pytorch_adapter)
from .layout import (TensorLayout, _dataclass_layout)
from .utils import hybridmethod
class DataClassTensorMixin(abc.ABC):
@hybridmethod
def to_numpy(cls,
se... |
1715197 | import unittest
from numpy.testing import assert_allclose
import numpy as np
from sklearn.datasets import load_iris, make_multilabel_classification, load_diabetes
from skelm import ELMRegressor, ELMClassifier
import warnings
from sklearn.exceptions import DataDimensionalityWarning, DataConversionWarning
class TestAc... |
1715245 | import bpy
import sys
import mathutils as mathU
# boop = 'D:/PycharmProjects/Lobster/src/'
boop = "/Users/maxbaylis/Lobster/src/"
if not (boop in sys.path):
sys.path.append(boop)
from ..BlenderAPI.BlenderObjects import to_quaternion
from .. import BlenderAPI as bld
import unittest
class BlenderCameraTest(unitt... |
1715277 | import argparse
import datetime
import functools
import re
import sys
import traceback
import typing
import holidays
import github
class PennHolidays(holidays.UnitedStates):
def _populate(self, year):
super()._populate(year)
# See https://github.com/greenelab/scrum/issues/114
for day in... |
1715283 | import tensorflow as tf
from ocnn import softmax_loss, softmax_accuracy
class ShapeLoss:
def __init__(self, flags, reuse=False):
self.flags = flags
self.reuse = reuse
def _def_memory(self, channel):
with tf.variable_scope('shape_memory'):
self.memory = tf.get_variable('memory',
shape=[... |
1715284 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
from linearmodels import PanelOLS
#import data
data = pd.DataFrame.from_csv("fraserDataWithRGDPPC.csv", index_col=[0,1],
parse_dates = True)
# create list of each i... |
1715320 | import torch
class ObservationBuffer:
def __init__(self, num_envs, num_obs, include_history_steps, device):
self.num_envs = num_envs
self.num_obs = num_obs
self.include_history_steps = include_history_steps
self.device = device
self.num_obs_total = num_obs * include_histor... |
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