id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
4840432 | from musket_core import datasets
from musket_core.datasets import DataSet, MeanDataSet
import typing
def block(func):
func.model=True
return func
class Model:
def predict_on_dataset(self,d:datasets.DataSet,**kwargs):
raise ValueError("Not implemented")
class ConnectedModel(Model):
def pre... |
4840463 | import copy
import pytest
from spark.config.config_set import UniversalConfigSet
from spark.model.gaussian_model import GaussianModel
from spark.model.training_data import TrainingData
from spark.config.config import Config
@pytest.fixture(scope="class", autouse=True)
def gaussian_model():
training_data = Traini... |
4840483 | from simple_schema_validator import schema_validator, types
def validate(schema, data):
validation = schema_validator(schema, data)
if not validation:
print(f'Keys in data, but not in schema: {validation.additional_keys}')
print(f'Keys in schema, but not in data: {validation.missing_keys}')
... |
4840502 | class ExampleUserData:
name = "Hans"
login = "hans66"
email = "<EMAIL>"
mac = "12:11:11:11:11:11"
birthdate = "1990-01-01"
|
4840547 | class A:
def __getitem__(self, slices):
return slices
a = A()
print a[1]
print a[0:2]
print a[:2]
print slice(2)
print a[1:]
print a[:]
print a[::]
print a[::-1]
print a[0,1:2]
print a[0:2,2:30:1]
assert(a[1]==1)
assert(a[0:2]==slice(0,2))
assert(a[0,1:2]==(0,slice(1,2)))
assert(a[0:2,2:30:1]==(slice(0,2... |
4840592 | from __future__ import absolute_import
import numpy as np
from scipy.sparse import coo_matrix
from .. import Graph
__all__ = ['random_graph']
def random_graph(out_degree):
'''Random graph generator. Does not generate self-edges.
out_degree : array-like of ints, controlling the out degree of each vertex.
'''
... |
4840620 | import torch
import torchvision
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.autograd import Variable
import numpy as np
torch.manual_seed(42)
torch.cuda.manual_seed(42)
use_gpu = torch.cuda.is_available()
class UNet(nn.Module):
def contracting_block(self, in_channe... |
4840626 | from bab_types import *
from file_utils import *
from snake_case_vs_CamelCase import *
def ClassName_from_filename(file: FileFullPath):
basename = file.split("/")[-1]
basename_no_extension = basename.replace(".cpp", "").replace(".h", "")
class_name = ToCamelCase(basename_no_extension)
return class_name... |
4840633 | import numpy as np
import pandas as pd
from msi_recal.math import mass_accuracy_bounds
def join_by_mz(left, left_mz_col, right, right_mz_col, analyzer, sigma_1, how='inner'):
"""Joins two DataFrames by m/z value, using the given m/z tolerance"""
if not right[right_mz_col].is_monotonic_increasing:
ri... |
4840710 | import pandas as pd
import sqlite3
conn1 = sqlite3.connect('./data/fieldstudy.db')
conn2 = sqlite3.connect('../../alpha_scanner/phone_scanner/data/fieldstudy.db')
app_counts = pd.read_sql('select count(*) from app_info where scanid in (1, 2, 3, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 56, 57, 58, 59, ... |
4840727 | from collections import OrderedDict
from concurrent.futures import FIRST_COMPLETED, ThreadPoolExecutor, wait
from io import BytesIO
from logging import getLogger as get_logger
from threading import Lock
from typing import NamedTuple, Optional
from megfile.errors import raise_s3_error
from megfile.interfaces import Wri... |
4840729 | import caffe2.python.fakelowp.init_shared_libs # noqa
import numpy as np
from caffe2.python import core, workspace
from caffe2.python.onnx.onnxifi import onnxifi_caffe2_net
from hypothesis import given, strategies as st, settings
from caffe2.python.fakelowp.test_utils import print_test_debug_info
import caffe2.python.... |
4840760 | from io import BytesIO
import os
import numpy as np
import pytest
from pandas import DataFrame, date_range, read_csv
import pandas._testing as tm
from pandas.util import _test_decorators as td
@td.skip_if_no("gcsfs")
def test_read_csv_gcs(monkeypatch):
from fsspec import AbstractFileSystem
from fsspec impor... |
4840793 | import datetime
import json
from server.models import db, Assignment, Backup, Course, User, Version
from server.utils import encode_id
from server.forms import VersionForm
from tests import OkTestCase
class TestAssignment(OkTestCase):
def setUp(self):
super().setUp()
self.setup_course()
def ... |
4840817 | from __future__ import annotations
from abc import ABC, abstractmethod
from typing import TypeVar, Type, Optional
import flow_py_sdk.cadence.constants as c
from flow_py_sdk.exceptions import CadenceIncorrectTypeError
class Value(ABC, object):
def __init__(self) -> None:
super().__init__()
def encod... |
4840832 | from __future__ import absolute_import, division, print_function
import os
import sys
import numpy as np
import torch
from torch.utils.data import DataLoader
sys.path.append('.')
from mono.datasets.utils import readlines, dump_xyz, compute_ate, transformation_from_parameters
from mono.datasets.kitti_dataset... |
4840837 | import tensorflow as tf
import numpy as np
import random
import cv2
from skimage.transform import resize
from affine import Affine
from transform_utils import *
def load_train_patch(idx, index_list, BATCH_SIZE, IMAGE_DIM, hdr):
im1 = cv2.imread(index_list[idx].decode('utf8')+'/refined_result/2_1.tif', -1).astype... |
4840863 | import os
import io
import json
import logging
import copy
import glob
import core.event
import util.algorithm
import util.xresources
log = logging.getLogger(__name__)
THEME_BASE_DIR = os.path.dirname(os.path.realpath(__file__))
PATHS = [
".",
os.path.join(THEME_BASE_DIR, "../../themes"),
os.path.expandu... |
4840871 | import sys
sys.path.insert(0, '../')
import numpy as np
from jax.nn import softplus
from jax.experimental import optimizers
import matplotlib.pyplot as plt
import time
from sde_gp import SDEGP
import approximate_inference as approx_inf
import priors
import likelihoods
pi = 3.141592653589793
print('generating some data... |
4840872 | import argparse
import uuid0
parser = argparse.ArgumentParser(description='Generate a UUID0')
parser.add_argument('--timestamp', '-t', type=float,
help='UNIX timestamp')
parser.add_argument('--number', '-n', type=int, default=200,
help='Number of UUIDs to generate')
args = pars... |
4840874 | from __future__ import print_function
from builtins import input
from builtins import str
from builtins import range
from builtins import object
from future.utils import string_types
from influxdb import InfluxDBClient
from influxdb.exceptions import InfluxDBServerError, InfluxDBClientError
import getpass
import loggi... |
4840887 | from dataclasses import dataclass, field
from typing import Optional, Union, List
from brain_brew.commands.run_recipe.build_task import BuildPartTask
from brain_brew.configuration.part_holder import PartHolder
from brain_brew.configuration.representation_base import RepresentationBase
from brain_brew.representation.ya... |
4840896 | import os
class dir_handle(object):
exists = os.path.exists
#
def __init__(self):
self.path_dir = ['html', 'anki_txt']
created_dir = [dir_handle.create_dir(_) for _ in self.path_dir]
self.html_root = './html/'
self.html_list = dir_handle.__get_html_list(self.html_root)
... |
4840974 | from learning.HillClimbingLner import *
import copy as cp
class HC_TabuLner(HillClimbingLner):
"""
The class HC_TabuLner (Hill Climbing Tabu Learner) is a child of
HiilClimbingLner. It adds to the latter a Tabu list, which is a memory
of places that are forbidden to revisit, at least temporarily.
... |
4840981 | from django.conf import settings
from ..utils import authenticate
import dateutil.parser
import nacl.encoding
import nacl.utils
from nacl.public import PrivateKey, PublicKey, Box
import json
from django.utils.translation import ugettext_lazy as _
from rest_framework import serializers, exceptions
class LoginSeria... |
4840997 | from opytimizer.optimizers.swarm import FPA
# One should declare a hyperparameters object based
# on the desired algorithm that will be used
params = {
'beta': 1.5,
'eta': 0.2,
'p': 0.8
}
# Creates a FPA optimizer
o = FPA(params=params)
|
4841008 | from __future__ import print_function
import sys
sys.path.insert(1,"../../../")
from tests import pyunit_utils
import h2o
from h2o.utils.typechecks import assert_is_type
def h2oas_list():
"""
Python API test: h2o.as_list(data, use_pandas=True, header=True)
Copied from pyunit_frame_as_list.py
"""
ir... |
4841020 | import sys
import os
import numpy as np
import pytest
import tensorflow as tf
thisfile = os.path.abspath(__file__)
modulepath = os.path.dirname(os.path.dirname(thisfile))
sys.path.insert(0, modulepath)
import tensorcircuit as tc
from .conftest import tfb
def test_gate_dm():
c = tc.DMCircuit(3)
c.H(0)
c.... |
4841029 | import os
import os.path
from typing import List
from pathlib import Path
def get_cirrus_lib_requirements() -> List[str]:
'''
Get the cirrus-lib dependencies.
'''
try:
from importlib import metadata
except ImportError:
import importlib_metadata as metadata
return [
re... |
4841037 | try:
from collections.abc import MutableMapping
except ImportError: # Will allow usage with virtually any python 3 version
from collections import MutableMapping
from threading import Timer, Thread, Lock
from ..sortedcontainers import SortedKeyList
from time import time, sleep
class ExpiringDict(MutableMapp... |
4841043 | import logging
logging.basicConfig(level=logging.INFO)
from chatbot import quesobabas
from twitter_api import api
from random import choice
if __name__ == "__main__":
follower_id = choice(api.followers_ids())
follower = api.get_user(follower_id)
statement = quesobabas.storage.get_random()
... |
4841060 | import sure # Hey! Do not delete this import for the tests to pass
import uncurl
def test_basic_get():
uncurl.parse("curl 'https://pypi.python.org/pypi/uncurl'").should.equal(
"""requests.get("https://pypi.python.org/pypi/uncurl",
headers={},
cookies={},
auth=(),
)"""
)
def test_colon_... |
4841071 | import aetherling.space_time.type_helpers
from aetherling.space_time.space_time_types import *
from aetherling.space_time.nested_counters import *
from aetherling.space_time.ram_st import DefineRAM_ST
from aetherling.space_time.type_helpers import get_shared_and_diff_subtypes, remove_tseqs, replace_tombstone, \
ST_... |
4841088 | import numpy as np
import warnings
from .base import _SwifterBaseObject, ERRORS_TO_HANDLE, suppress_stdout_stderr_logging
class _SwifterParallelBaseObject(_SwifterBaseObject):
def set_dask_threshold(self, dask_threshold=1):
"""
Set the threshold (seconds) for maximum allowed estimated duration of ... |
4841105 | import sys
sys.path.insert(0, "./../../../../")
import argparse
import numpy as np
import torch
import torch.optim as optim
import torch.utils.data as data_utils
from paper_experiments.rotated_mnist.supervised.model_diva import DIVA
from paper_experiments.rotated_mnist.dataset.mnist_loader_add_unsup import MnistRot... |
4841121 | from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.utils.translation import gettext_lazy as _
import pytz
from .models import User
class AdminUserCreationForm(UserCreationForm):
class Meta:
model = User
fields = ('username', 'email',)
def save(self, ... |
4841141 | import re
import datetime
import logging
def get_good_date(date, delimiter=False):
# TODO parameter to choose formating
# e.g., DDMMYY vs YYMMDD etc
logging.debug('getting good date...')
logging.debug(date)
delimiters = r"[./\\-]+"
if delimiter:
# expecting DDMMYY
Allsect = re.... |
4841155 | from collections import Counter
from scattertext.emojis.EmojiExtractor import extract_emoji
from scattertext.features.FeatsFromSpacyDoc import FeatsFromSpacyDoc
class FeatsFromSpacyDocOnlyEmoji(FeatsFromSpacyDoc):
'''
Strips away everything but emoji tokens from spaCy
'''
def get_feats(self, doc):
'''
Param... |
4841168 | import os
import csv
import wave
import sys
import numpy as np
import pandas as pd
import glob
def split_wav(wav, features, emotions):
(nchannels, sampwidth, framerate, nframes, comptype, compname), samples = wav
left = samples[0::nchannels]
right = samples[1::nchannels]
shift = len(left) // np.a... |
4841198 | from __future__ import absolute_import, division, print_function
from boost_adaptbx import graph
from boost_adaptbx.graph import min_cut_max_flow
import unittest
class TestStoerWagnerMinCut(unittest.TestCase):
def manipulation(self, g):
vd0 = g.add_vertex()
vd1 = g.add_vertex()
vd2 = g.add_vertex()
... |
4841222 | import boto3
ROLE_POLICY = {
"Version": "2012-10-17",
"Statement": [
{
"Sid": "VisualEditor0",
"Effect": "Allow",
"Action": [
"s3:GetLifecycleConfiguration",
"s3:ListBucketByTags",
"s3:GetBucketTagging",
... |
4841224 | from ..models.ieee_802_15 import IEEE802_15_4
from ..models.timer import Timer
from ..native import nvic_set_pending
from ..util import int2bytes, bytes2int
from collections import defaultdict
from unicorn.arm_const import *
from binascii import hexlify
import struct
# IEEE-whatever standard "regs"
rf233_regs = defaul... |
4841227 | import time
import threading
import queue
import logging
import sys
from multiprocessing.connection import Client
try:
from django.db.backends.utils import CursorWrapper # django >= 1.7.x
except ImportError:
from django.db.backends.util import CursorWrapper # django <= 1.6.x
_original_execute = CursorWrappe... |
4841256 | from typing import Type, Dict, Any, List
from elliptic.Kernel.Context import ContextDelegate
from elliptic.Kernel.TemplateManager import TemplateManagerBase
from elliptic.Kernel.DSL import DSLMeta
from examples.DSL_Example.src.DSL import VectorImplementationBase
class VectorTemplateManager(TemplateManagerBase):
... |
4841258 | import importlib
import sys
from inspect import isclass
from pathlib import Path
from types import ModuleType
from typing import List, Optional, Union
from loguru import logger
from streams_explorer.core.config import settings
def load_plugin(base_class: type, all: bool = False) -> Union[type, List[type], None]:
... |
4841275 | from setuptools import setup, find_packages
setup(
name="torchsummary",
version="1.5.1",
description="Model summary in PyTorch similar to `model.summary()` in Keras",
url="https://github.com/sksq96/pytorch-summary",
author="<NAME> @sksq96",
author_email="<EMAIL>",
packages=["torchsummary"],... |
4841283 | from datetime import timedelta
from typing import List, Union
from flask_login import current_user
from isodate import datetime_isoformat, duration_isoformat
from marshmallow import fields, post_load, validates_schema, ValidationError
from marshmallow.validate import OneOf
from marshmallow_polyfield import PolyField
f... |
4841305 | import os
def load_data(dir, set):
'''
if set=train, expect train_x.txt and train_y.txt
'''
x_file = open(os.path.join(dir, set + '_x.txt'), 'r')
y_file = open(os.path.join(dir, set + '_y.txt'), 'r')
n = len(y_file.readlines())
y_file = open(os.path.join(dir, set + '_y.txt'), 'r')
x = []
y = []
for i in ... |
4841309 | import functools
import os
from distutils.spawn import find_executable
from .log import logger
def latex_plot_format(func):
"""
Wrap the plotting function to set rcParams dependent on environment variables
The rcparams can be set directly from the env. variable `BILBY_STYLE` to
point to a matplotlib... |
4841359 | import skimage.io as io
import skimage.transform as skt
import numpy as np
from PIL import Image
from src.models.class_patcher import patcher
from src.utils.imgproc import *
from skimage.color import rgb2hsv, hsv2rgb, rgb2gray
from skimage.filters import gaussian
class patcher(patcher):
def __init__(self, body='.... |
4841363 | def coding_problem_17(path_str):
r"""
Suppose we represent our file system by a string in the following manner:
The string "dir\n\tsubdir1\n\tsubdir2\n\t\tfile.ext" represents:
dir
subdir1
subdir2
file.ext
The directory dir contains an empty sub-director... |
4841368 | import argparse
from .suite import *
from .synth import *
from .real import *
def parse_arguments():
parser = argparse.ArgumentParser()
group_save_load = parser.add_mutually_exclusive_group()
group_save_load.add_argument("--save", help="File path to store the session data.")
group_save_load.add_arg... |
4841413 | import click
from calm.dsl.log import get_logging_handle
from .main import (
library_get,
library_import,
library_create,
library_describe,
library_delete,
)
from .library_tasks import (
get_tasks_list,
describe_task,
delete_task,
create_task,
import_task,
)
LOG = get_logging_... |
4841417 | import os
import mock
from contextlib2 import ExitStack
from parsable import parsable
import pomagma.util
from pomagma import analyst, atlas, cartographer, surveyor, theorist
from pomagma.io import blobstore
from pomagma.util import DB
PROFILERS = {
'time': '/usr/bin/time --verbose',
'valgrind': 'valgrind --... |
4841423 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import h5py
import os
import argparse
from prompt_toolkit import prompt
from dsl import get_KarelDSL
from karel_util import state2symbol
def main():
parser = argparse.ArgumentParser()
parser.add_arg... |
4841495 | import json
import sys
import click
import logging
import joblib
import pandas as pd
from flask import jsonify, request
from hypermodel.platform.gcp.services import GooglePlatformServices
from hypermodel.ml.prediction.prediction_app import PredictionApp
from hypermodel.ml.model_container import ModelContainer
#from c... |
4841557 | import os
from relation_extraction.train import train
from relation_extraction.hparams import hparams
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
here = os.path.dirname(os.path.abspath(__file__))
def main():
train(hparams)
if __name__ == '__main__':
main()
|
4841567 | import numpy as np
import pandas as pd
from sklearn.metrics import r2_score
paesi_abitanti_eu = {"Austria": 8.917, "Belgium": 11.56, "Bulgaria": 6.927,
"Cyprus": 1.207, "Croatia": 4.047, "Denmark": 5.831,
"Estonia": 1.331, "Finland": 5.531, "France": 67.39,
... |
4841573 | import numpy as np
from ..utils.stream import ItemFeature
from .base_infocpler import BaseInfoCpler
class VisualEntailmentInfoCpler(BaseInfoCpler):
def __init__(self, cfg):
self._init_tokens()
self.default_max_length = cfg.default_max_length
def complete_info(self, item_feature: ItemFeature... |
4841597 | from api.views_v1 import (
HealthCheckResource, UserResource, PlaylistResource, TrackResource,
SearchResource)
from toolkit.api import Api
api_v1 = Api(api_name='v1')
api_v1 \
.register(HealthCheckResource()) \
.register(UserResource()) \
.register(PlaylistResource()) \
.register(TrackResource(... |
4841625 | from enum import Enum
import logging
import os
from pathlib import Path
from threading import Condition, Lock, Thread
import time
from typing import cast, Dict, List, Tuple
from qcg.pilotjob.api.job import Jobs as QCGJobs
from qcg.pilotjob.api.manager import Manager as QCGManager
from ymmsl import Component, Configura... |
4841626 | from pynwb.ogen import OptogeneticSeries, OptogeneticStimulusSite
from pynwb.ecephys import Device
from pynwb.testing import TestCase
class OptogeneticSeriesConstructor(TestCase):
def test_init(self):
device = Device('name')
oS = OptogeneticStimulusSite(
name='site1',
devi... |
4841669 | class StringMult:
def times(self, sFactor, iFactor):
if sFactor == "" or iFactor == 0:
return ""
elif iFactor < 0:
return sFactor[::-1] * abs(iFactor)
return sFactor * iFactor
|
4841682 | import magma as m
import fault
from pathlib import Path
from .common import pytest_sim_params
def pytest_generate_tests(metafunc):
pytest_sim_params(metafunc, 'verilog-ams', 'spice', 'system-verilog')
def test_get_value_analog(target, simulator):
# declare circuit
class myblend(m.Circuit):
io = ... |
4841777 | from ryven.NWENV import *
from qtpy.QtWidgets import QTextEdit
# from qtpy.QtCore import ...
from qtpy.QtGui import QFontMetrics, QFont
import numpy as np
class MatrixWidget(QTextEdit, MWB):
def __init__(self, params, base_width=50, base_height=50):
MWB.__init__(self, params)
QTextEdit.__init__(... |
4841790 | import os
import pytest
import csv_diff
import logging
import torch
import numpy as np
from ivadomed.loader.bids_dataframe import BidsDataframe
from testing.unit_tests.t_utils import create_tmp_dir, __data_testing_dir__, __tmp_dir__, download_data_testing_test_files, path_repo_root
from testing.common_testing_util imp... |
4841794 | import torch
from torch.optim import SGD
from torchvision.models import resnet18
from nfnets import replace_conv, AGC
def test_agc_model():
model = resnet18()
replace_conv(model)
optim = SGD(model.parameters(), 1e-3)
optim = AGC(model.parameters(), optim, model=model)
optim.zero_grad()
model(torch.randn(1... |
4841812 | import lzma
import struct
from collections import deque, namedtuple
MODES = ["osu!", "Taiko", "Catch the Beat", "osu!mania"]
SHORTMODS = [
None,
"NF",
"EZ",
None,
"HD",
"HR",
"SD",
"DT",
"RX",
"HT",
"NC",
"FL",
"AO",
"SO",
"AP",
"PF",
"4K",
"5K",
... |
4841894 | import os
import logging
import argparse
from comet2.comet_model import PretrainedCometModel, MODEL_DIR
logging.basicConfig(
format='%(asctime)s - %(levelname)s - %(name)s - %(message)s', datefmt='%m/%d/%Y %H:%M:%S', level=logging.INFO)
logger = logging.getLogger(__name__)
def main():
"""
Generate AT... |
4841907 | def gw_get(object_dict, name=None, plugin=None):
"""
Getter function to retrieve objects from a given object dictionary.
Used mainly to provide get() inside patterns.
:param object_dict: objects, which must have 'name' and 'plugin' as attribute
:type object_dict: dictionary
:param name: name o... |
4841914 | from cffi import FFI
ffibuilder = FFI()
ffibuilder.set_source(
"aiortc.codecs._opus",
"""
#include <opus/opus.h>
""",
libraries=["opus"],
)
ffibuilder.cdef(
"""
#define OPUS_APPLICATION_VOIP 2048
#define OPUS_OK 0
typedef struct OpusDecoder OpusDecoder;
typedef struct OpusEncoder OpusEncoder;
ty... |
4842004 | from dataclasses import dataclass
from infrastructure.cqrs.IQuery import IQuery
from domain.operation.GetDataOperationJobExecution.GetDataOperationJobExecutionRequest import GetDataOperationJobExecutionRequest
from domain.operation.GetDataOperationJobExecution.GetDataOperationJobExecutionResponse import GetDataOperatio... |
4842009 | from logbook import Logger, StreamHandler, NullHandler
from cStringIO import StringIO
log = Logger('Test logger')
def run():
out = StringIO()
with NullHandler():
with StreamHandler(out, filter=lambda r, h: False) as handler:
for x in xrange(500):
log.warning('this is not ... |
4842047 | from pandac.PandaModules import *
from toontown.toonbase import ToontownGlobals
from direct.distributed import DistributedObject
from direct.directnotify import DirectNotifyGlobal
from toontown.toonbase import TTLocalizer
class LobbyManager(DistributedObject.DistributedObject):
notify = DirectNotifyGlobal.directNo... |
4842147 | from transformers import AutoTokenizer
def search(entity:str,sent_tok:list):
etok_locs=[]
for index in range(len(sent_tok)):
sub_words = []
if entity == sent_tok[index]:
sub_words.append(index)
etok_locs.append(sub_words)
elif entity.startswith(sent_tok[index]):
... |
4842189 | from .rbnf_analyze import *
from rbnf.core import ParserC
from rbnf.core.ParserC import State, Literal, ConstStrPool
from rbnf.core.Tokenizer import Tokenizer
from rbnf.err import LanguageBuildingError
from rbnf.auto_lexer import lexing
from rbnf.py_tools.unparse import Unparser
from collections import OrderedDict
from... |
4842195 | from rcwa.shorthand import *
class Crystal:
"""
Class used for defining periodic structures in x and y
:param permittivityCellData: 2D numpy array of permittivity values
:param permeabilityCellData: 2D numpy array of permeability values
:param latticeVectors: Real-space lattice vectors
"""
... |
4842197 | import time
import unittest
import pytest
from mock import ANY, MagicMock
from malcolm.core import Process
from malcolm.core.context import Context
from malcolm.core.errors import AbortedError, BadValueError, ResponseError, TimeoutError
from malcolm.core.future import Future
from malcolm.core.request import Post, Put... |
4842216 | from testflows.core import *
from ldap.external_user_directory.tests.common import *
from ldap.external_user_directory.requirements import *
@TestScenario
@Requirements(
RQ_SRS_009_LDAP_ExternalUserDirectory_Configuration_Users_LDAPUserDirectory_MoreThanOne("2.0")
)
def more_than_one_user_directory(self):
"""... |
4842244 | import torch
import torch.nn as nn
import torch.nn.functional as F
from ..base.base_utils import ModelOutput
from .vq_vae_config import VQVAEConfig
"""Code inspired from https://github.com/deepmind/sonnet/blob/v2/sonnet/src/nets/vqvae.py"""
class Quantizer(nn.Module):
def __init__(self, model_config: VQVAEConfi... |
4842253 | tx_cost = 1
init_amount = 10000
acc_pub = "<KEY>"
acc_priv = "81c90dd832e18d1cf9758254327cb3135961af6688ac9c2a8c5d71f73acc5ce5"
num_layers_until_process = 5
|
4842264 | from lawu import constants
def test_printable_constants():
# Ensure we can successfully repr valid constants without crashing.
pool = constants.ConstantPool()
repr(constants.UTF8(pool=pool, value='HelloWorld'))
repr(constants.ConstantClass(pool=pool, name='HelloWorld'))
repr(constants.Double(pool=... |
4842300 | import sys
from nltk import word_tokenize
from nltk.translate.bleu_score import sentence_bleu, SmoothingFunction
class BLEU:
def __init__(self, length_limit=0, max_ngram=4, use_smoothing=False):
self.length_limit = length_limit
self.max_ngram = max_ngram
self.use_smoothing = use_smoothing
... |
4842397 | import shutil
from rodan.jobs.base import RodanTask
from rodan.models import ResourceType
class ResourceDistributor(RodanTask):
name = 'Resource Distributor'
author = '<NAME>'
description = 'Distributes the resource to output'
settings = {
'title': 'Resource Distributor setting',
'typ... |
4842447 | import torch
from torch import nn
eps = 1e-7
class NCECriterion(nn.Module):
"""
Eq. (12): L_{NCE}
"""
def __init__(self, n_data):
super(NCECriterion, self).__init__()
self.n_data = n_data
def forward(self, x):
bsz = x.shape[0]
m = x.size(1) - 1
# noise di... |
4842464 | import pandas as pd
import numpy as np
import lightgbm as lgb
from timeit import default_timer as timer
import csv
import random
N_FOLDS = 5
MAX_EVALS = 100
def objective(hyperparameters, iteration):
"""Objective function for random search. Returns
the cross validation score from a set of hyperparamete... |
4842479 | from typing import Any
from kfserving import (KFServingClient, V1alpha2CustomSpec,
V1alpha2EndpointSpec, V1alpha2PredictorSpec)
from kubernetes.client import V1Container
from loguru import logger
from .cli import Cli
from .pipeline import Pipeline
from .serve import Serve
class Rollout(Cli):
... |
4842497 | import setuptools
setuptools.setup(
name="tap_news_utils",
version="0.0.9",
author="<NAME>",
author_email="<EMAIL>",
description="A small utility package for tap-news project",
packages=setuptools.find_packages(),
install_requires=[
'pika',
'requests',
'pymongo... |
4842534 | import numpy as np
class _CheckInputs:
"""Check if additional arguments are correct"""
def __init__(self, n):
self.n = n
def __call__(self, **kwargs):
if type(self.n) is not int:
raise ValueError("Expected n of type int, got {}".format(type(self.n)))
if self.n < 5:
... |
4842544 | import cv2
from random import uniform, randint, choice
from PIL import Image
from torchvision import transforms
from torch.utils.data.dataset import Dataset # For custom datasets
from sketchify.xdog_blend import blend_xdog_and_sketch, add_intensity, get_xdog_image
def pseudo_uniform(id, a, b):
return (((id * 1.25... |
4842546 | import numpy as np
import cv2
import pyopengv
import networkx as nx
import logging
import sys
import math
from collections import defaultdict
from itertools import combinations
from opensfm import context
from opensfm import types
from opensfm.unionfind import UnionFind
logger = logging.getLogger(__name__)
# pairw... |
4842594 | import os
import numpy as np
from rlkit.core.vistools import plot_histogram
def goal_distance(goal_a, goal_b):
assert goal_a.shape == goal_b.shape
return np.linalg.norm(goal_a - goal_b, axis=-1)
# her_demos_path = '/u/kamyar/baselines/baselines/her/data_fetch_random_100.npz'
# her_demos_path = '/ais/gobi6/kam... |
4842612 | import asyncio
import logging
import time
from core.exceptions import LoginError
logger = logging.getLogger(__name__)
locks = {}
async def safe_login_module(session, download_settings, login_function, function_kwargs):
if not callable(login_function):
logger.warning(f"login function was not callable: {... |
4842633 | import torch
from adabelief_pytorch import AdaBelief
from TorchDiffEqPack import odesolve
import numpy as np
from matplotlib import pyplot as plt
from scipy.io import loadmat
import os
import torch.nn as nn
import numpy as np
import pandas as pd
import torch.nn.functional as F
from torch.optim import Adam
from scipy im... |
4842667 | from django.contrib import admin
from .models import (
DocumentTypeOCRSettings, DocumentVersionOCRError,
DocumentVersionPageOCRContent
)
@admin.register(DocumentTypeOCRSettings)
class DocumentTypeOCRSettingsAdmin(admin.ModelAdmin):
list_display = ('document_type', 'auto_ocr')
@admin.register(DocumentVe... |
4842680 | import socket
import ipaddress
import logging
import netifaces
class Ifaces4:
def __init__(self):
self.addrs = []
self.networks = []
# Get addresses from our interfaces
for iface in netifaces.interfaces():
try:
ifaddrs = netifaces.ifaddresses(iface)
... |
4842689 | def get_column_width(column, table):
"""
Get the character width of a column in a table
Parameters
----------
column : int
The column index analyze
table : list of lists of str
The table of rows of strings. For this to be accurate, each
string must only be 1 line long.
... |
4842717 | from .abc import ABCHTTPMiddleware, HTTPMiddlewareResponse
from .justlog import JustLogHTTPMiddleware
|
4842728 | from trainer.config import config
config.is_test = True
config.epochs = 1
def test_graybox_e2e():
from trainer import graybox_task
def test_blackbox_e2e():
from trainer import blackbox_task
|
4842764 | import asyncio
from api2ch import Api2chAsync
async def main():
async with Api2chAsync() as api:
boards = await api.boards_by_types()
coros = [api.threads(board.id) for board in boards.Technology]
for coro in asyncio.as_completed(coros):
threads = await coro
top_... |
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