id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
1724512 | import json
import numpy as np
import logging
logger = logging.getLogger(__name__)
class DirichletDist():
def __init__(self, config, **kwargs):
n_classes = config.n_classes
prior_alpha = np.zeros((n_classes, n_classes))
if config.worker.prior.type == 'predefined_homegeneous' or len(kwarg... |
1724531 | import numpy as np
def clipit(data, low, high, method, center):
"""Clips data in the current segment"""
# For the center point, take the median (if center_code==0), else the mean
if center == 'mad':
mid = np.nanmedian(data)
else:
mid = np.nanmean(data)
data = np.nan_to_num(data)
... |
1724541 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from scipy.spatial.transform import Rotation as R
from scipy.spatial.transform import Slerp
from airobot.utils import common
class Position:
"""
Class for representing 3D positions... |
1724543 | import math
import os
import re
from collections import OrderedDict
from datetime import datetime, timedelta
from passlib.hash import bcrypt_sha256
from pony.orm import commit # NOQA
from pony.orm import (
Database,
Optional,
Required,
Set,
avg,
count,
db_session,
get,
select,
... |
1724563 | import dateutil.parser
from dateutil import tz
from datetime import timedelta
import time
import requests
from requests.auth import HTTPBasicAuth
from xui.solar_winds.solar_winds_scripts import TEST_SERVER_CONNECTION
from common.methods import generate_string_from_template
from utilities.models import ConnectionInfo
... |
1724564 | import numpy as np
import os, datetime
import matplotlib
from scipy.misc import imsave
def makeFile(f):
if not os.path.exists(f):
os.makedirs(f)
def getDateTime(minutes=False):
t = datetime.datetime.now()
dt = ('%s_%s' % (t.month, t.day))
if minutes:
dt += '_%s-%s-%s' % (t.hour, t.minu... |
1724572 | s = r"""
.a.fy
real : x y z(10)
int dimension(3) a = [1, 2, 3]
x += 1 + 3
x /= sum(
x +
y +
z
)
"""
from fython.test import *
writer(s)
w = load('.a', force=1, release=1, verbose=0)
# print(open(w.module.url.fortran_path, 'r').read())
|
1724581 | import types
import time
import hashlib
import re
from urlparse import urljoin
from threading import Lock
from externals.reqresp import Request
from framework.core.myexception import FuzzException
from framework.fuzzer.base import BaseFuzzRequest
class FuzzRequest(BaseFuzzRequest, Request):
def __init__(self):
R... |
1724585 | from unittest import TestCase
from typing import Generator
from fuzzy_search.fuzzy_phrase import text2skipgrams, Phrase
class Test(TestCase):
# text2skipgrams
def test_text2skipgrams_rejects_negative_ngram_size(self):
error = None
try:
next(text2skipgrams("test", ngram_size=-1, s... |
1724611 | from poop.hfdp.adapter.ducks.turkey import Turkey
class TurkeyAdapter:
def __init__(self, turkey: Turkey) -> None:
self.__turkey = turkey
def quack(self) -> None:
self.__turkey.gobble()
def fly(self) -> None:
for i in range(5):
self.__turkey.fly()
|
1724627 | import os
import uuid
import time
import shutil
import subprocess
class Nemu():
def __init__(self):
self.uuid = uuid.uuid4().hex
self.test_dir = "/tmp/" + self.uuid
self.pidfile = self.test_dir + "/nemu.pid"
os.mkdir(self.test_dir)
with open(self.test_dir + "/nemu.cfg", 'w'... |
1724631 | from __future__ import print_function, division
import numpy as np
from tensorflow import keras
class MDStackGenerator(keras.utils.Sequence):
"""
The `MDDataGenerator` load data from a `NpzFile` generated by the
preprocess function with `kdtree` mode. The file contain
the following keyword variables.... |
1724647 | from navycut.contrib.auth import login_required
from .models import Blog, ExtraUser
from navycut.contrib.mail import send_mail
from navycut.typing import *
from navycut.urls import MethodView
from navycut.contrib.forms import ModelForm
class HelloView(MethodView):
async def get(self):
# print (list(self.m... |
1724653 | import smplx
import os
import pickle
import pyrender
import trimesh
import numpy as np
import json
import torch
from tqdm import tqdm
import PIL.Image as pil_img
from human_body_prior.tools.model_loader import load_vposer
from temp_prox.camera import create_camera
device = torch.device("cuda" if torch.cuda.is_availabl... |
1724656 | import numpy as np
import torch
from torch.autograd import Variable
from tqdm import tqdm
def hessian_spectral_norm_approx(model, loader, criterion, M=20, seed=777, logger=None):
model.train()
def get_Hv(v):
flat_grad_loss = None
flat_Hv = None
ind = 0
for batch_idx, (inputs, ... |
1724706 | from selenium import webdriver
from selenium.common.exceptions import MoveTargetOutOfBoundsException, NoSuchElementException, WebDriverException
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import... |
1724772 | from django.apps import AppConfig
class DjangoAdminMaterialConfig(AppConfig):
name = 'django_admin_material'
|
1724780 | import os
import numpy as np
import pandas as pd
from hyperactive import Hyperactive
from hyperactive.dashboards import ProgressBoard
from hyperactive.dashboards.progress_board.streamlit_backend import StreamlitBackend
from hyperactive.dashboards.progress_board.progress_io import ProgressIO
def test_progress_io_0():
... |
1724784 | from functools import partial
import requests
from waiter import terminal, http_util
from waiter.action import ping_token_on_cluster, process_kill_request
from waiter.querying import get_target_cluster_from_token, get_token
from waiter.token_post import post_failed_message, process_post_result
from waiter.util import... |
1724796 | import base64
import copy
from .utils import dotdict
from uuid import UUID, uuid4
from bson import BSON
from pymongo.errors import OperationFailure
import collections
try:
import cPickle
except:
import _pickle as cPickle
def _flatten_fetched_fields(fields_arg):
""" this method takes either a kwargs 'fiel... |
1724924 | from __future__ import absolute_import, print_function, unicode_literals
from wolframclient.serializers.wxfencoder.constants import (
WXF_HEADER_COMPRESS,
WXF_HEADER_SEPARATOR,
WXF_VERSION,
)
from wolframclient.serializers.wxfencoder.streaming import ZipCompressedWriter
__all__ = ["WXFExprSerializer", "Se... |
1724925 | import numpy as np
from deep_utils.utils.box_utils.boxes import Point
def resize(img, dsize, in_source='Numpy', mode='cv2', interpolation=None):
mode = 'cv2' if mode is None else mode
if mode == 'cv2':
dsize = Point.point2point(dsize, in_source=in_source, to_source=Point.PointSource.CV)
new_im... |
1724939 | import uuid
from tempfile import gettempdir
import fitz
from django.db.models.fields.files import FieldFile
def pdf_page_to_png(pdf: FieldFile, page_number=0):
"""
Creates a PNG image of the first page of a PDF
"""
source_pdf = fitz.open(pdf.path)
first_page: fitz.Page = source_pdf[page_number]
... |
1724945 | from .onset import \
MeasureOfTransience, MovingAveragePeakPicker, TimeSliceFeature, \
ComplexDomain |
1724966 | import os
import logging
import logging.handlers
def _get_logger(logdir, logname, loglevel=logging.INFO):
fmt = "[%(asctime)s] %(levelname)s: %(message)s"
formatter = logging.Formatter(fmt)
handler = logging.handlers.RotatingFileHandler(
filename=os.path.join(logdir, logname),
maxBytes=10*1024*1024,
backupCo... |
1725026 | from flask import Blueprint, jsonify, request
from flask_jwt_extended import jwt_required
from utils.network.decorators import json_required_params, commit_after
from database import database
from entity import Body
from dao import BodyDao
from utils.network.exc import NotFoundException
bodies_blueprint = Blueprint('b... |
1725028 | from __future__ import print_function, division
#
import sys,os
quspin_path = os.path.join(os.getcwd(),"../../")
sys.path.insert(0,quspin_path)
#
from quspin.operators import hamiltonian # Hamiltonians and operators
from quspin.basis import boson_basis_1d # Hilbert space fermion basis
from quspin.tools.block_tools impo... |
1725062 | from singleShared import combinedDf, singleDf, df, averageLoopsWithControl, averageDomains, doSaddle, eigenDict, doScaling, loopDict, genomDict, getCoverage
import pickle
from mirnylib.h5dict import h5dict
import numpy as np
import os
from multiprocessing import Pool
from mirnylib.systemutils import setExceptionHook
s... |
1725081 | import os
import argparse
import importlib
from natsort import natsorted
from tqdm import tqdm, trange
from collections import Counter
import numpy as np
from imageio import imwrite
from scipy.spatial.transform import Rotation
from lib.misc.pano_lsd_align import rotatePanorama, panoEdgeDetection
import torch
import t... |
1725093 | class RomUtils(object):
ROMSIG512K = 0x11144ef9
ROMSIG256K = 0x11114ef9
romsig = {
0x11114ef9: 256*1024,
0x11144ef9: 512*1024
}
def __init__(self, **kwargs):
amiga = kwargs["debugger"]
self.amiga = amiga
romaddr = 0xf80000
romhdr = amiga.peek32(romaddr... |
1725095 | import spacy
####################################################
################# HELPER MODULES ###################
####################################################
def descendants(sentence, ancestor, ignoreFirst, *includes):
''' Returns descendants of a node in-order '''
sent = sentence
if ancestor == Non... |
1725127 | from flask import request, current_app
from flask_restplus import Resource
from sqlalchemy_filters import apply_sort, apply_pagination, apply_filters
from sqlalchemy import desc, cast, NUMERIC, func, or_
from werkzeug.exceptions import BadRequest
from app.extensions import api
from app.api.utils.access_decorators impo... |
1725130 | import subprocess
def run(args):
subprocess.run(
args, universal_newlines=True, stderr=subprocess.STDOUT, check=True)
if __name__ == "__main__":
run([
"python", "-m", "tox", "-c", "tox-unit.ini"])
|
1725131 | import FWCore.ParameterSet.Config as cms
HGCalEEGeometryESProducer = cms.ESProducer("HGCalGeometryESProducer",
##appendToDataLabel = cms.string("_master"),
Name = cms.untracked.string("HGCalEESensitive"),
... |
1725136 | from __future__ import absolute_import, print_function
import os
import os.path
from libpebble2.communication.transports.websocket import WebsocketTransport, MessageTargetPhone
from libpebble2.communication.transports.websocket.protocol import (
WebSocketInstallBundle, WebSocketInstallStatus)
from libpebble2.ex... |
1725217 | from pathlib import Path
import json
from .utils import write_jsonfile, check_accessmode
class MetaData:
"""Dictionary-like access to disk based metadata.
If there is no metadata, the metadata file does not exist, rather than
being empty. This saves a block of disk space (potentially 4kb).
"""
... |
1725257 | import numpy as np
import pybullet as p
def connect_headless(gui=False):
if gui:
cid = p.connect(p.SHARED_MEMORY)
if cid < 0:
p.connect(p.GUI)
else:
p.connect(p.DIRECT)
p.resetDebugVisualizerCamera(cameraDistance=0.8,
cameraYaw=180,
... |
1725265 | from dictquery.datavalue import query_value
from dictquery.exceptions import DQValidationError
from dictquery.visitors import (
DataQueryVisitor,
MongoQueryVisitor,
KeyExistenceValidatorVisitor)
from dictquery.parsers import DataQueryParser
__version__ = '0.4.0'
parser = DataQueryParser()
def is_query_va... |
1725380 | import os
import randomcolor
rand_color = randomcolor.RandomColor()
hues = ['monochrome']
kiki_num = 0
for i in range(1,9):
for hue in hues:
os.system("convert all/kikiset-0{}.png -fuzz 50% -fill '{}' -opaque red processed/kiki_{}.png".format(i,'#b7b7b7',kiki_num))
kiki_num += 1
|
1725387 | from __future__ import print_function
import time
import logging
import pprint
import math
import os
import re
import cPickle as pickle
import sys
import yaml
import copy
from collections import OrderedDict
import numpy
from lvsr.algorithms import BurnIn
from blocks_extras.extensions.embed_ipython import EmbedIPython
... |
1725475 | import shutil
import os
import json
import logging
import sys
from docker import APIClient
from fairing.builders.dockerfile import DockerFile
from fairing.builders.container_image_builder import ContainerImageBuilder
from fairing.utils import get_image_full
logger = logging.getLogger('fairing')
class DockerBuilder(... |
1725476 | from subprocess import Popen, PIPE
class Shell(object):
def __init__(self):
pass
def execute(self, command):
returncode, output, error = self.execute_command(command)
if returncode > 0 and error:
raise ShellError(error.decode())
return output.decode()
def exe... |
1725483 | import datetime
import numpy as np
import os
import pandas as pd
import tempfile
import tarfile
from zipfile import ZipFile
station_zip = 'wbanmasterlist.psv.zip'
climate_tar = '2006_daily.tar.gz'
assert station_zip in os.listdir(), station_zip
assert climate_tar in os.listdir(), climate_tar
with tempfile.TemporaryD... |
1725495 | import datetime
from dataclasses import dataclass
from typing import List, Optional
@dataclass
class FakeArgs:
log_level: Optional[str] = None
database: Optional[str] = None
tables: Optional[List[str]] = None
num_processes: Optional[int] = None
compile_only: Optional[bool] = None
print_sql_onl... |
1725505 | import angr
possibleJmps = [
{
"name": "jz",
"must": [0x40],
"not": [0x1, 0],
"priority": 1
},
{
"name": "jo",
"must": [0x800],
"not": [0],
"priority": 1
},
{
"name": "jno",
"must": [0x40],
"not": [0x800],
... |
1725526 | from typing import Any, List
def second_pass(tokens: List[Any]) -> List[Any]:
"""
Examples
--------
>>> second_pass([3, "[", "abc", "]", 4, "[", "ab", "]", "c"])
[3, ['abc'], 4, ['ab'], 'c']
>>> second_pass([10, '[', 'a', ']'])
[10, ['a']]
>>> second_pass([3, '[', 2, '[', 'a', ']'])
... |
1725545 | from argparse import ArgumentParser
from github import Github
from tqdm import tqdm
import csv
import dependency_graph
def parse_args():
"""
Parse command line arguments.
"""
parser = ArgumentParser(description=__doc__)
parser.add_argument("--token", default="", type=str, help="Host address.")
... |
1725567 | import logging
from ray.rllib.agents.dqn.dqn_torch_policy import postprocess_nstep_and_prio
from ray.rllib.utils import merge_dicts
from marltoolbox.algos import hierarchical, augmented_dqn
from marltoolbox.utils import \
postprocessing, miscellaneous
logger = logging.getLogger(__name__)
APPROXIMATION_METHOD_Q_... |
1725677 | def _js_devserver(ctx):
files = depset()
for d in ctx.attr.deps:
if hasattr(d, "node_sources"):
files = depset(transitive=[d.node_sources, files])
elif hasattr(d, "files"):
files = depset(transitive=[d.files, files])
if ctx.label.workspace_root:
# We need the... |
1725695 | import argparse
from pyspark.sql import SparkSession
from pyspark.sql.types import *
from pyspark.sql.functions import *
from lxml import etree
import re
import time
import datetime
import sys
spark = SparkSession.builder.getOrCreate()
sc = spark.sparkContext
### SO 25407550
log4jLogger = sc._jvm.org.apache.log4j
LOG... |
1725698 | import os
import numpy as np
import pandas as pd
def sid_subdir_path(sid):
"""
Format subdir path to limit the number directories in any given
subdirectory to 100.
The number in each directory is designed to support at least 100000
equities.
Parameters
----------
sid : int
A... |
1725744 | import numpy as np
from referenceqvm.tests.test_data import data_containers as dc
from pyquil.quil import Program
def test_generate_arbitrary_states(qvm):
for k in list(dc.ARBITRARY_STATE_GEN_INSTRUCTIONS.keys()):
v = np.asarray(dc.ARBITRARY_STATE_GEN_WF[k])
norm = np.sqrt(np.sum(np.multiply(np.c... |
1725801 | from typing import List
from .comment_tokenizer import scan_for_comment
from .iterator import LineWrapIterator, Span
from .number_tokenizer import scan_for_number
from .quote_tokenizer import scan_for_quote
from .remaining_tokenizer import scan_for_remaining, RemainingToken
from .token import Token, StartToken, EndTok... |
1725814 | from aws_requests_auth.aws_auth import AWSRequestsAuth
import requests
import os
import datetime
import json
SNAPSHOT_DIR = 'ccsearch-snapshots'
# List all ES snapshots for this domain
if __name__ == "__main__":
auth = AWSRequestsAuth(aws_access_key=os.environ['ES_AWS_ACCESS_KEY_ID'],
... |
1725829 | from typing import Protocol
from .datatypes import DataType
from .multidim import MultiDimensional
class MemoryInfo(MultiDimensional, DataType, Protocol):
"""
`MemoryInfo` contains all information needed to compute a tensor's memory usage.
`MultiDimensional` is used to compute the number of elements,
... |
1725846 | import core.score
import features.feature
import features.groupby
import compare.compare
class AmountOfPEUpdates(features.feature.GlobalFeature):
METHOD_NAME = "AmountOfPEUpdates"
def __init__(self):
super().__init__(type(self).METHOD_NAME)
def _score(self, compare_object):
new = compare... |
1725852 | from unittest import TestCase
import numpy as np
from numpy.testing import assert_equal
import scipy.sparse as sp
from .clustering import normalized_cut
class ClusteringTest(TestCase):
def test_normalized_cut_without_singletons(self):
adj = [[0, 2, 1, 0], [2, 0, 0, 1], [1, 0, 0, 2], [0, 1, 2, 0]]
... |
1725881 | import os
import numpy as np
import pandas as pd
from tensorflow.keras.utils import to_categorical
from sklearn import model_selection
class ACIC(object):
def __init__(
self,
path,
trial,
center=False,
exclude_population=False,
):
self.trial ... |
1725895 | import asyncio
from pathlib import Path
import numpy as np
from nurses_2.app import App
from nurses_2.widgets.image import Image
from nurses_2.widgets.parallax import Parallax
IMAGES_DIR = Path("images")
SIZE = 30, 50
def load_layers(path):
sorted_dir = sorted(path.iterdir(), key=lambda path: path.stem)
re... |
1725949 | import subprocess
from pathlib import Path
def test_custom_prog_name():
file_path = Path(__file__).parent / "assets/prog_name.py"
result = subprocess.run(
["coverage", "run", str(file_path), "--help"],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
encoding="utf-8",
)
... |
1725967 | import torch
import torch.nn as nn
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
import torch.nn.functional as F
from textclf.config.components import RNNConfig
class RNN(torch.nn.Module):
"""
rnn layer
"""
supported_types = ["RNN", "GRU", "LSTM"]
def __init__(self, co... |
1725970 | class MGesFError(Exception):
"""Base class for other exceptions"""
pass
class DataPortNotOpenError(MGesFError):
def __str__(self):
return 'attempting to read from unopened data port'
"""Raised when attempting to read from unopened data port"""
pass
class PortsNotSetUpError(MGesFError):
... |
1726003 | from django.db import models
class Stock(models.Model):
code = models.CharField(max_length=16)
name = models.CharField(max_length=16)
count = models.IntegerField(default=0)
weight = models.FloatField(default=0)
weight_in = models.FloatField(default=0)
weight_out = models.FloatField(default=0)
... |
1726039 | from typing import List, Iterator
from translatesubs.translator.translated import Translated
from translatesubs.translator.language import Language
from abc import ABC, abstractmethod
class ITranslator(ABC):
@abstractmethod
def translate(self, text: List[str], to_lang: str) -> Iterator[Translated]:
pa... |
1726049 | from django.http import Http404
from collections import OrderedDict
from rest_framework.parsers import JSONParser
from rest_framework.decorators import api_view
from rest_framework.response import Response
from rest_framework import permissions
from utils import solr
from utils.redisobjs import RedisObject
from api i... |
1726100 | from ._title import Title
from plotly.graph_objs.layout.yaxis import title
from ._tickformatstop import Tickformatstop
from ._tickfont import Tickfont
|
1726116 | import json
import string
import random
from hashlib import sha256
import logging
import requests
from proxy.request import send_request, Request
from proxy.response import Response
from resources.base import Resource
logger = logging.getLogger()
class AAFResource(Resource):
def __init__(self, service):
su... |
1726143 | import pytest
import requests_mock
import requests
import re
from pupa.scrape.event import Event
from lametro.events import LAMetroAPIEvent
@pytest.mark.parametrize('api_status_name,scraper_assigned_status', [
('Final', 'passed'),
('Final Revised', 'passed'),
('Final 2nd Revised', 'passed'),
('Draft... |
1726150 | import re
from mongoframes.factory import blueprints
from mongoframes.factory import makers
from mongoframes.factory import quotas
from mongoframes.factory.makers import selections as selection_makers
from mongoframes.factory.makers import text as text_makers
from tests.fixtures import *
def test_maker():
"""
... |
1726158 | import cPickle as pickle
from pymongo import MongoClient
from connect import mongouri
c = MongoClient(mongouri)
db = c.clinicaltrials
cond_final = pickle.load(open('condition_json.pkl','rb'))
inst_final = pickle.load(open('institution_json.pkl','rb'))
db.conditions.drop()
cond_coll = db.conditions
oids = cond_coll.... |
1726170 | import numpy as np
class Individual(object):
def __init__(self, individual_vector, max_inputs, search_space, index=0):
self.iv = individual_vector
self.mi = max_inputs
self.ss = search_space
# Generate config when generating individual
self.index = index
self.config... |
1726195 | import maya.OpenMayaMPx as OpenMayaMPx
import maya.OpenMaya as OpenMaya
from sys import *
import re
from string import *
from types import *
import maya.cmds as cmds
def hasPadding(name):
m = re.search('_(\d+)', name)
return True if m != None and m.group(0) != "" else False
def hasType(name):
m = re.search('(PLY|... |
1726201 | from .accessors import to_accessor # noqa: F401
from .base import Source # noqa: F401
from .list_source import ListSource # noqa: F401
from .tree_source import TreeSource # noqa: F401
from .value_source import ValueSource # noqa: F401
|
1726204 | from django.conf import settings
from django.conf.urls.static import static
from django.urls import include, path
from django.views.generic import TemplateView
from django.contrib import admin
urlpatterns = [
path("", TemplateView.as_view(template_name="homepage.html"), name="home"),
path("admin/", admin.si... |
1726209 | from __future__ import division
# needed for customized candlestick from matplotlib.finance
from matplotlib.lines import Line2D
from matplotlib.patches import Rectangle
def candlestick(ax, quotes, width=0.2, colorup='k', colordown='r',
alpha=1.0, colorline=None):
"""
Modified from matplotlib.... |
1726212 | import json
import os
from typing import Any, Callable, Dict, Optional, Tuple, Union
import reprlib
ConfigKey = Tuple[Union[str, int], ...]
AttrKey = Tuple[Union[str, int], ...]
KeyPair = Tuple[ConfigKey, Optional[AttrKey]]
ConfigType = Any
Loader = Callable[[str], Any]
DumpTrace = Tuple[KeyPair, ...]
LoadTrace = Tup... |
1726214 | import time
import terminaltables
from paperspace.commands import common
from paperspace.exceptions import BadResponseError
class _MachinesCommandBase(common.CommandBase):
def _log_message(self, response, success_msg_template, error_msg):
if response.ok:
try:
handle = respons... |
1726217 | import traceback
import kairos_face
import os
import unittest
from kairos_face.exceptions import ServiceRequestError
class EnrollIntegrationTest(unittest.TestCase):
def setUp(self):
# It was not possible to find a reliable, publicly available URL pointing to a face picture
# with nice quality.
... |
1726230 | import json
from collections import namedtuple
import pytest
TestCase = namedtuple("TestCase", ("expr", "data", "result"))
with open("test/data/2.json", "rb") as f:
data = json.load(f)
@pytest.fixture(
params=[
TestCase("$.*", data, list(data.values())),
TestCase("$.book", data, [data["book... |
1726235 | import numpy as np
import os
from collections import defaultdict
import auditing_args
res_dir = os.path.join(auditing_args.args['save_dir'], 'results')
print(res_dir)
all_nps = [f for f in os.listdir(res_dir) if f.endswith('.npy') and f.startswith('batch')]
def parse_name(fname):
splt = fname.split('-')
splt[... |
1726280 | from torch import nn
from torch.nn import functional as F, init
class ResidualBlock(nn.Module):
def __init__(self, features, activation, zero_initialization=True,
dropout_probability=0.1, use_batch_norm=True):
super().__init__()
self.activation = activation
self.use_batch... |
1726282 | import io
import os
import cv2
import numpy as np
from PIL import Image
from keras import backend
from base64 import b64encode
from keras.models import Model
import matplotlib.pyplot as plt
from keras_retinanet import models
from keras_retinanet.utils.colors import label_color
from keras_retinanet.utils.visualization i... |
1726325 | from copy import deepcopy
from mesh.generic.nodeState import LinkStatus
def findShortestPaths(numNodes, meshGraph, startNode):
## Find shortest path to all other nodes using Dijkstra's algorithm
# Initialize arrays
pathArray = [[i+1,100,[-1]] for i in range(numNodes)]
#visited = [startNode... |
1726326 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import time
from nets import gan_utils
slim = tf.contrib.slim
DEBUG = False
def current_time_millis():
return int(round(time.time() * 1000))
EMBEDDING_SIZE = 128
def lenet(imag... |
1726351 | import os, sys, subprocess, inspect
from dataclasses import dataclass
from typing import Any
from argparse import ArgumentParser
@dataclass
class Param():
"A parameter in a function used in `anno_parser` or `call_parse`"
help:str=None
type:type=None
opt:bool=True
action:str=None
nargs:str=None... |
1726352 | from .methods import (
get_access_token,
upload_file_with_url,
create_folder,
publish,
unpublish,
get_disk_info,
get_element_info,
get_element_public_info
)
from .requests import (
make_link_request,
create_user_oauth_url,
make_photo_preview_request
)
|
1726355 | def extractAmeryEdge(item):
"""
# 'Amery Edge'
"""
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol or frag) or 'preview' in item['title'].lower():
return None
if 'Articles' in item['tags'] or 'Guides' in item['tags']:
return None
if 'Your Highness, I Know My Wrong... |
1726423 | from __future__ import print_function
import os
import pytest
import numpy as np
from numpy.testing import assert_allclose
from keras.utils import test_utils
from keras import optimizers, Input
from keras.models import Sequential, Model, load_model
from keras.layers.core import Dense, Activation, Lambda
from keras.ut... |
1726425 | from PyQt5 import QtWidgets as qtw
from PyQt5 import QtGui as qtg
from PyQt5 import QtCore as qtc
import csv
from datetime import datetime
import pandas as pd
from PyQt5 import QtChart as qtch
months = ['','January','February','March','April','May','June','July','August','September','October','November',
... |
1726438 | from datetime import datetime, timedelta
from django.contrib.auth.models import User
from django.http import Http404
from django.shortcuts import redirect, get_object_or_404, render
from django.utils import timezone
from django.utils.datetime_safe import date
from django.views.generic.base import View
from rest_framew... |
1726460 | from keras.models import load_model
import cv2
import numpy as np
from numpy import genfromtxt
import pandas as pd
import tensorflow as tf
import utils as K
np.set_printoptions(threshold=np.nan)
path1='/Users/victor_sy_wang/Developer/ML/openface/images/examples-aligned/lennon-1.png'
path2='/Users/victor_sy_wang/Devel... |
1726466 | import click
from pathlib import Path
import pandas as pd
from hashlib import md5
import tldextract
from tqdm.auto import tqdm
def get_domain(url):
ext = tldextract.extract(url)
# Handle wordpress blogs (there are many)
if ext.domain == 'wordpress':
return '.'.join(ext)
else:
return ... |
1726476 | from typing import Protocol
class SupportsClose(Protocol):
def close(self) -> None:
...
|
1726519 | import numpy as np
import sys
import copy
import logging
from kinbot import bond_combinations
from kinbot import find_motif
from reactions.reac_Cyclic_Ether_Formation import CyclicEtherFormation
from reactions.reac_Diels_alder_addition import DielsAlder
from reactions.reac_Intra_Diels_alder_R import IntraDielsAlder
fr... |
1726570 | from django.http import JsonResponse, HttpResponseBadRequest, HttpResponse
from src.tipboard.app.applicationconfig import getRedisPrefix
from src.tipboard.app.properties import BASIC_CONFIG, REDIS_DB, DEBUG, ALLOWED_TILES
from src.tipboard.app.cache import MyCache, save_tile
from src.tipboard.app.utils import checkAcce... |
1726626 | from __future__ import annotations
import json
import typing as t
from ..tools.enums import ResponseType
from ..objects import UlistLabels
try:
import orjson # type: ignore
ORJ = True
except ModuleNotFoundError:
ORJ = False
if t.TYPE_CHECKING:
from ..interface import Interface
__all__ = ("TERM... |
1726634 | import json
import backoff
import numpy as np
import requests
from aws_xray_sdk.core import xray_recorder
from ..config import config
from ..result import Result
from ..tasks import Task
class GeneExpression(Task):
def _format_result(self, result):
# Return a list of formatted results.
return Re... |
1726639 | from django.db import models
import datetime
def format_money(amount):
"""Takes amount (in cents) and returns a more readable string
representation of that money. It also adds a zero-width character in
between each character so that it is impossible to do a CTRL+F search for
the money, making ... |
1726641 | import numpy as np
import torch
from torch.utils.data import Dataset
class DatasetNiftySampler(Dataset):
"""
A simple adapter
converting NiftyNet sampler's output into PyTorch Dataset properties
"""
def __init__(self, sampler):
super(DatasetNiftySampler, self).__init__()
self.sampl... |
1726648 | import os
from enum import Enum
from knightos.workspace import Workspace
class PackageSource(Enum):
local = "local"
remote = "remote"
class WorkspacePackage:
def __init__(self, name, version="latest"):
_name = name.split("/")
self.repo = _name[0]
self.name = _name[1]
self.s... |
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