id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
3239618 | from xml.etree import ElementTree
import svgwrite
import enum, math
################
# Tree utility functions
#
# For generically handling the various kinds of tree-like things that can be
# passed to this module
################
def treelet_split_str(t):
# treat strings as leaf nodes.
if isinstance(t, str):
... |
3239623 | import cv2 as cv
riding = ['motorcycling','riding a bike','riding scooter','riding mountain bike']
smoking = ['smoking','smoking hookah']
driving = ['driving car','driving tractor']
alcohol = ['tasting beer','drinking beer']
#Determine the IOU of two bounding boxes
def bb_intersection_over_union(boxA, boxB):
# de... |
3239629 | from typing import Union
from tartiflette.types.list import GraphQLList
from tartiflette.types.non_null import GraphQLNonNull
__all__ = ("reduce_type",)
def reduce_type(
gql_type: Union[str, "GraphQLList", "GraphQLNonNull"]
) -> Union[str, "GraphQLType"]:
"""
Unwraps the GraphQL type and to return the i... |
3239649 | from simpletransformers.experimental.classification.classification_model import ClassificationModel
from simpletransformers.experimental.classification.multi_label_classification_model import (
MultiLabelClassificationModel,
)
|
3239678 | from logging import Logger
import torch
from scipy.stats import spearmanr
from torch import nn
from torch.optim.adamw import AdamW
from torch.utils.data.dataloader import DataLoader
from torch.utils.tensorboard import SummaryWriter
from tqdm import tqdm
from transformers import get_linear_schedule_with_warmup
from ta... |
3239748 | from .cBugTranslation import cBugTranslation;
aoBugTranslations = [
# Breakpoint -> Assert
cBugTranslation(
srzOriginalBugTypeId = r"Breakpoint",
azs0rbAppliesOnlyToTopStackFrame = [
rb".*!Abandonment::InduceAbandonment",
],
azs0rbAdditionalIrrelevantStackFrameSymbols = [
rb".*!Abandonm... |
3239752 | import os
from .generic import ImageListLabels, ImageList
DB_ROOT = os.environ['DB_ROOT']
class Landmarks18_train(ImageListLabels):
def __init__(self):
ImageListLabels.__init__(self, os.path.join(DB_ROOT, 'landmarks18/lists/train.txt'),
os.path.join(DB_ROOT, 'landmarks18/'... |
3239768 | import sys, wx
sys.path.append('../../')
from sciwx.text import MDPad, MDNoteBook, MDFrame, MDNoteFrame
mdstr ='''## Markdown Test
### Title
1. paragraph 1
2. paragraph 2
'''
def md_pad_test():
frame = wx.Frame(None, title='Text Pad')
mdpad = MDPad(frame)
mdpad.set_cont(mdstr)
frame.Show()
def md_fr... |
3239775 | from fontParts.base.features import BaseFeatures
from babelfont import addUnderscoreProperty
@addUnderscoreProperty("text")
class Features(BaseFeatures):
pass
|
3239830 | import os
import torch
from collections import OrderedDict
class BaseModel():
def name(self):
return 'BaseModel'
def initialize(self, opt):
self.opt = opt
self.gpu_ids = opt.gpu_ids
self.isTrain = opt.isTrain
self.Tensor = torch.cuda.FloatTensor if self.gpu_ids else to... |
3239857 | from toee import *
def OnBeginSpellCast( spell ):
print "Death Attack OnBeginSpellCast"
print "spell.target_list=", spell.target_list
print "spell.caster=", spell.caster, " caster.level= ", spell.caster_level
def OnSpellEffect( spell ):
print "Assassin Death Attack OnSpellEffect"
spell.duration = 0
target = s... |
3239861 | from media_tree.utils.maintenance import get_cache_files
from media_tree.utils import get_media_storage
from django.core.management.base import BaseCommand, CommandError
from optparse import make_option
class Command(BaseCommand):
help = 'Lists (and optionally deletes) all media_tree cache files.'
option_lis... |
3239924 | from __future__ import absolute_import, division, print_function
from six.moves import range
from scitbx.array_family import flex
import math
from six.moves import cPickle as pickle
class sb_wrapper:
def __init__(self,working_phil):
self.working_phil = working_phil
self.two_theta_experimental = flex.doub... |
3239992 | import graphene
# Arguments you want to query
class MessagesInput(graphene.InputObjectType):
_id = graphene.ID(required=False)
name = graphene.String(required=False) |
3239995 | from selenium import webdriver
browser = webdriver.Chrome()
browser.get('https://www.geekdigging.com/')
# 获取 cookies
print(browser.get_cookies())
# 添加一个 cookie
browser.add_cookie({'name': 'name', 'domain': 'www.geekdigging.com', 'value': 'geekdigging'})
print(browser.get_cookies())
# 删除所有 cookie
browser.dele... |
3239998 | from discord.ext import flags
from discord.ext.flags import * # noqa F401
class FlagCommand(flags.FlagCommand):
def __init__(self, *args, **kwargs):
self._help = kwargs.pop("help", None)
super().__init__(*args, **kwargs)
@property
def help(self):
return str(self._help)
@help... |
3240006 | import os
import sys
class BColors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKCYAN = '\033[96m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
def error(string):
print(BColors.FAIL + "[FILIBUSTER] [FAIL]: " ... |
3240010 | import numpy as np
import torch
import torch.nn as nn
def init_regul(source_vertices, source_faces):
sommet_A_source = source_vertices[source_faces[:, 0]]
sommet_B_source = source_vertices[source_faces[:, 1]]
sommet_C_source = source_vertices[source_faces[:, 2]]
target = []
target.append(np.sqrt( n... |
3240020 | from __future__ import absolute_import, division, print_function
import argparse
import logging
import os
import random
import sys
from io import open
import numpy as np
import torch
from torch.utils.data import (DataLoader, RandomSampler, TensorDataset)
from tqdm import tqdm, trange
from models.modeling_bert import... |
3240021 | from generator.actions import Actions
import random
import string
import struct
import numpy as np
import math
import datetime as dt
MAX_NAME = 20
MAX_DESC = 200
def random_word(max_size=7, min_size=3):
characters = string.letters
max_size = max_size if max_size >= min_size else min_size
max_size = random... |
3240045 | import intervaltree
def int_repr(self):
if self.end > 0xFFFFFFFF:
ct = 16
else:
ct = 8
fmt = "({0:%dX}, {1:%dX})" % (ct, ct)
return fmt.format(self.begin, self.end)
intervaltree.Interval.__str__ = int_repr
intervaltree.Interval.__repr__ = int_repr
# export version of intervaltree th... |
3240082 | import sys
import urllib.request
cwd = sys.path[0]
with open(cwd + '/links.txt', mode='r') as input_file:
li = input_file.readlines()
i = 0
for line in li:
i += 1
content = urllib.request.urlopen(line).read()
with open(cwd + '/' + str(i).zfill(3) + '.jpg', 'wb') as pic:
pic.write(content)
... |
3240098 | from __future__ import absolute_import
from .mysql2pgsql import Mysql2Pgsql
__version__ = '0.1.6'
|
3240099 | from __future__ import unicode_literals
import logging
from .ldap import LDAPEntry, LDAPError, RDNError
from .format import AttributesMap
from .privilege import Acl
from .role import (
CommentError,
RoleOptions,
RoleSet,
)
from .utils import UserError, decode_value, lower_keys, match
from .psql import exp... |
3240108 | from transformers import BartModel, BertModel, BertTokenizer, RobertaModel, BertForQuestionAnswering, MBartModel, MBartTokenizer
mod = BartModel.from_pretrained('facebook/bart-large')
mod = MBartTokenizer.from_pretrained('facebook/mbart-large-50', src_lang='en_XX', tgt_lang='en_XX')
mod = MBartModel.from_pretrained(... |
3240113 | from typing import Dict, Generator, List, Set, Union
from collections import defaultdict
import json
import copy
import re
from fuzzy_search.fuzzy_phrase import Phrase
def as_phrase_object(phrase: Union[str, dict, Phrase], ngram_size: int = 2, skip_size: int = 2) -> Phrase:
if isinstance(phrase, Phrase):
... |
3240116 | import tensorflow as tf
def get_num_channels(x):
return x.get_shape().as_list()[-1]
def weight_variable(name, shape):
initer = tf.contrib.layers.xavier_initializer(uniform=False)
return tf.get_variable('W_' + name, dtype=tf.float32,
shape=shape, initializer=initer)
def bias_... |
3240121 | from yumipy import YuMiConstants as YMC
from yumipy import YuMiSubscriber
import logging
from time import sleep
if __name__ == "__main__":
logging.getLogger().setLevel(YMC.LOGGING_LEVEL)
sub = YuMiSubscriber()
sub.start()
counter = 0
while True:
sleep(0.1)
if counter % 10 == 0... |
3240182 | from rest_framework.test import APITestCase, APIClient
from django.urls import reverse
from rest_framework.authtoken.models import Token
class NotificationsTest(APITestCase):
"""
Test the metadata APIv2 endpoint.
"""
fixtures = ['dojo_testdata.json']
def setUp(self):
token = Token.objects... |
3240228 | import os
import numpy as np
import pytest
astropy = pytest.importorskip('astropy')
from astropy.io import fits
from asdf.fits_embed import AsdfInFits
from .. import remove_hdu
def test_remove_hdu(tmpdir):
hdulist = fits.HDUList()
image = fits.ImageHDU(np.random.random((25, 25)))
hdulist.append(image... |
3240243 | from django.conf.urls import url
from django.contrib import admin
from .views import (
VideoListView,
VideoDetailView,
VideoCreateView,
VideoUpdateView,
VideoDeleteView
)
urlpatterns = [
url(r'^$', VideoListView.as_view(), name='list'),
url(r'^create/$', VideoCreateView.as_view(), ... |
3240253 | import logging
import numpy as np
import rasterio
from pesto.ws.core.pesto_feature import PestoFeature
from pesto.ws.features.converter.image.bands import FullBand, Band
log = logging.getLogger(__name__)
# TODO: Classe WIP (les méthodes expérimentales sont privées)
# Potentiellement: Revoir le rationnel / faire un ... |
3240266 | from setuptools import setup
setup(name='embeddingsviz',
version='0.1',
description='Visualize Embeddings of a Vocabulary in TensorBoard, Including the Neighbors',
classifiers=[
'Programming Language :: Python :: 3.5',
'Topic :: Text Processing :: Linguistic',
],
url='http... |
3240316 | import json
import httpx
import hashlib
import asyncio
from pathlib import Path
from nonebot.log import logger
from nonebot import get_driver
from nonebot_plugin_imageutils import BuildImage
data_path = Path() / "data" / "petpet"
def load_image(path: str) -> BuildImage:
return BuildImage.open(data_path / "image... |
3240317 | from django.conf.urls import patterns, url
urlpatterns = patterns('',
url(r'^login/', 'django.contrib.auth.views.login', name='auth_login'),
url(r'^logout/', 'django.contrib.auth.views.logout', name='auth_logout'),
)
|
3240319 | import math
import torch
import torch.nn.functional as F
from torch import nn
from mmocr.models.builder import ENCODERS
from .base_encoder import BaseEncoder
@ENCODERS.register_module()
class PositionalEncoding(BaseEncoder):
""" Implement the PE function. """
def __init__(self, d_model, dropout=0., max_len=... |
3240373 | import glob
import os
from pomagma.language.util import (dict_to_language, json_load,
language_to_dict, normalize_dict)
from pomagma.util.testing import for_each
SCRIPT_DIR = os.path.abspath(os.path.dirname(__file__))
def assert_converts(expected):
language = dict_to_language(... |
3240387 | import tensorflow as tf
tf.keras.backend.set_learning_phase(0)
from tensorflow.python.platform import gfile
import tensorflow.contrib.tensorrt
import numpy as np
from keras.models import load_model
class Model():
def __init__(self, path):
self.graph = tf.Graph()
sess = tf.Session(graph=self.graph, ... |
3240405 | from loguru import logger
from flexget import log, plugin
from flexget.config_schema import register_config_key
from flexget.event import event
logger = logger.bind(name='log_filter')
class MyFilter:
def __init__(self, config):
self.config = config
def __call__(self, record):
for filter_con... |
3240463 | import unittest
import riemann
from .. import utils
from . import helpers
class TestUtils(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
riemann.select_network('bitcoin_main')
def test_i2le(self):
self.assertEqual(utils.i2le(0), b'\x00')
self.assertEqual(u... |
3240516 | from __future__ import division
# Schwartz Smith two factor model.
# http://indices.riskamerica.cl/papers/Short%20Long%20Variations%20Commodity.pdf
# This implementation follows "Calibration Techniques in Energy Markets" by <NAME> (September 13, 2011)
# http://www.mathworks.co.uk/matlabcentral/fileexchange/31381-calib... |
3240520 | import logging
import os
import queue
import sys
import tkinter
import webbrowser
from tkinter import font
import yaml
from plantseg import plantseg_global_path, configs_path, RESOURCES_DIR, standard_config_template
from plantseg.gui import convert_rgb
from plantseg.gui.gui_tools import Files2Process, report_error, v... |
3240561 | import pytest
from cluster_toolkit import concentration
from os.path import dirname, join
import numpy as np
import numpy.testing as npt
#Halo properties that are inputs
h = 0.7
Omega_m = 0.3
Omega_b = 0.05
sigma8 = 0.847533481324
ns = 0.96
As = 2.215e-9
rhomconst = 2.77533742639e+11 #units are SM h^2/Mpc^3
Mass = 1e1... |
3240574 | from django.contrib import admin
from django.urls import path, include
from . import views
app_name = 'partners'
urlpatterns = [
path('partner/<str:partnerid>', views.partner_view, name='partner'),
]
|
3240589 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import builtins
from typing import Optional,List,Tuple
import collections
import inspect
import itertools
import math
import numbers
from itertools import repeat
import numpy as np
import tensorflow as... |
3240590 | import autosar
ws = autosar.workspace()
package=ws.createPackage("DataType", role="DataType")
package.createSubPackage('DataTypeSemantics', role='CompuMethod')
package.createSubPackage('DataTypeUnits', role='Unit')
BatteryCurrent_T = package.createIntegerDataType('BatteryCurrent_T', min=0, max=65535, offset=-1... |
3240617 | import socket
import ssl
hostname = 'baidu.com' # 'www.python.org'
context = ssl.create_default_context()
with socket.create_connection((hostname, 443)) as sock:
with context.wrap_socket(sock, server_hostname=hostname) as ssock:
print(ssock.version())
print("---------client")
hostname = 'www.python.org'... |
3240647 | from setuptools import setup
try:
long_description = open('README.md').read()
except:
long_description = "Easy websockets for bottle."
setup(
name='bottle-websocket',
version='0.2.9',
license='MIT',
url='https://github.com/zeekay/bottle-websocket',
author='<NAME>',
author_email='<EMAI... |
3240657 | import collections
from time_series_transform import io
from time_series_transform.stock_transform.base import Stock, Portfolio
from time_series_transform.transform_core_api.time_series_transformer import Time_Series_Transformer
from time_series_transform.transform_core_api.base import Time_Series_Data,Time_Series_Data... |
3240666 | import hashlib
import json
from datetime import datetime
from flask import Blueprint, request, jsonify
from sqlalchemy import text
from tzlocal import get_localzone
from db import db
from models.dashboard import Dashboard
routes = Blueprint('dashboards', __name__, url_prefix='/dashboards')
@routes.route('/', metho... |
3240671 | from itertools import cycle
DATA_PATH = 'data'
FILES_PATH = 'files'
HOURLY_LIMIT = 5000
# https://developer.foursquare.com/docs/api/getting-started
FOURSQUARE_KEYS = [
{'client_id': '', 'client_secret': ''}
]
FOURSQUARE_KEYS_ITER = cycle(FOURSQUARE_KEYS)
#MAPQUEST https://developer.mapquest.com/
# https... |
3240692 | from utensor_cgen.backend.base import Backend
from utensor_cgen.utils import (LazyAttrib, LazyLoader, class_property,
parse_toml)
code_generator = LazyLoader(submod_name='backend.utensor.code_generator')
transformer = LazyLoader(submod_name='backend.transformer')
_op_lower = LazyLoader(... |
3240711 | from wally import main
opts = "X -l DEBUG report /tmp/perf_tests/warm_doe".split()
def x():
main.main(opts)
x()
|
3240718 | import dataclasses
from abc import ABC, abstractmethod
from typing import Optional, Any, Dict, Union
import torch
from falkon.sparse import SparseTensor
from falkon.mmv_ops.fmm import fmm
from falkon.mmv_ops.fmmv import fdmmv, fmmv
from falkon.utils.helpers import check_same_dtype, check_sparse, check_same_device
fro... |
3240745 | import logging
import urllib
import json
import traceback
import requests
from urllib2 import urlparse
from opentracing_utils import trace, extract_span_from_kwargs
from notification import BaseNotification
logger = logging.getLogger(__name__)
class NotifyHipchat(BaseNotification):
@classmethod
@trace(op... |
3240752 | import logging
from typing import List
from PIL import Image
import numpy as np
try:
import face_recognition
_FACE_RECOGNITION_LOADED = True
except ImportError:
_FACE_RECOGNITION_LOADED = False
class FaceEmbedder:
def __init__(self, model: str = "large", num_jitters: int = 5):
logging.info("L... |
3240757 | from eadrax.errors import AuthorisationError
def load(**data):
return Usecase(data['repository'], data['authenticator'])
class Usecase(object):
def __init__(self, repository, authenticator):
self.repository = repository
self.authenticator = authenticator
def run(self):
authentica... |
3240777 | import os
import random
import subprocess
import threading
import time
import click
from contactnets.experiments import split
from contactnets.experiments.block2d import gen, train
from contactnets.utils import dirs, file_utils
# Make pygame renders headless
os.environ['SDL_VIDEODRIVER'] = 'dummy'
@click.command()... |
3240875 | from forex_python.converter import CurrencyRates, RatesNotAvailableError
from forex_python.bitcoin import BtcConverter
import sys
# Those default exchange rates below are those used against 1 USD as of August 2021.
EXCHANGE_RATES = {
"EUR_to_USD": 1.19,
"GBP_to_USD": 1.39,
"JPY_to_USD": 0.0092,
"CNY_t... |
3240883 | import numpy.linalg as npl
import numpy as np
from utils import *
def convert_rdd(rdd):
row = rdd.first()
if isinstance(row, unicode):
rdd = rdd.map(lambda row: np.array([float(x) for x in row.split(' ')]))
else:
rdd = rdd.map(lambda row: np.array(row))
return rdd
def comp_l2_obj(Ab_... |
3240885 | import streamlit as st
import numpy as np
import random
import pandas as pd
import matplotlib.pyplot as plt
from plotly.subplots import make_subplots
import plotly.graph_objects as go
from support.modelling_pop import pop_simulation, replay_plot
def write():
with st.spinner("Loading Population Modelling ..."):
... |
3240896 | import maya
class CommandWithOptionVars(object):
"""
Base class that handles Maya Commands. Tailored for MenuItems.
* Executes command from menu
* Displays option box dialog
* Gets/Sets OptionVars
This is the Base Class for handling all that is needed for menuItem, the
menuItem Opt... |
3240970 | from django.test import TestCase
from bluebottle.deeds.tests.factories import DeedFactory
from bluebottle.time_based.tests.factories import PeriodActivityFactory
from bluebottle.impact.tests.factories import ImpactGoalFactory
class ImpactGoalModelTestCase(TestCase):
def setUp(self):
self.model = ImpactGo... |
3240973 | from tests.integration.integration_test_case import IntegrationTestCase
class TestQuestionnaireInterstitial(IntegrationTestCase):
BASE_URL = '/questionnaire/test/interstitial_page/789/'
def test_interstitial_page_button_text_is_continue(self):
self.launchSurvey('test', 'interstitial_page')
s... |
3240987 | import datetime
import discord
from discord.ext import commands
from dinnerplate import BaseCog, has_embeds
class Statistics(BaseCog):
def __init__(self, bot):
super().__init__(bot)
@commands.command(aliases=["stats"])
@has_embeds()
async def statistics(self, ctx):
"""
Shows... |
3241057 | from crispy_forms import helper as crispy_forms_helper
from crispy_forms.utils import TEMPLATE_PACK
from crispy_forms_gds.layout import Size
class FormHelper(crispy_forms_helper.FormHelper):
"""
.. _FormHelper: https://django-crispy-forms.readthedocs.io/en/latest/form_helper.html # noqa
This class cont... |
3241069 | from taco.boto3.boto_config import Regions
DEFAULT_REGION = Regions.ohio.value
BUCKET_ALREADY_EXISTS_ERROR_MESSGAE = 'Bucket already exist'
BUCKET_MISSING_ERROR_MESSAGE = 'The specified bucket does not exist'
FILE_MISSING_ERROR_MESSAGE = 'The specified key does not exist'
NOT_FOUND_ERROR_MESSAGE = 'Not Found'
FILE_D... |
3241116 | from sklearn.ensemble import GradientBoostingClassifier
from commons import variables
from commons import tools
from scipy.stats import mode
def learn(x, y, test_x):
# set sample weight
weight_list = []
for j in range(len(y)):
if y[j] == "0":
weight_list.append(variables.weight_0_gdb... |
3241164 | import sys
import requests
import os
import unicodedata
import re
import click
import traceback
from utils import echo
def _download_file(url, dir, headers):
echo.push_subroutine(sys._getframe().f_code.co_name)
echo.clog(f'start downloading: {url} => {dir}')
ret = 0
try:
# start and block request
r = request... |
3241177 | from __future__ import annotations
import ast
from functools import partial
from flake8_pie.base import Error
def pie789_prefer_isinstance_type_compare(
node: ast.If | ast.IfExp, errors: list[Error]
) -> None:
if (
isinstance(node.test, ast.Compare)
and isinstance(node.test.left, ast.Call)
... |
3241178 | from Cocoa import *
gNumDaysInMonth = ( 0, 31, 28, 31, 30, 21, 30, 31, 31, 30, 31, 30, 31 )
def isLeap(year):
return (((year % 4) == 0 and ((year % 100) != 0)) or (year % 400) == 0)
class CalendarMatrix (NSMatrix):
lastMonthButton = objc.IBOutlet()
monthName = objc.IBOutlet()
nextMonthButton = objc.I... |
3241190 | import numpy as np
from lsml.feature.base_feature import (
BaseFeature, BaseImageFeature, BaseShapeFeature)
class FeatureMap(object):
""" Stores a set of features and computes their results into a stacked
multi-dimensional array
"""
def __init__(self, features):
""" Initialize a feature m... |
3241220 | import logging
import os
import re
import build_migrator.common.os_ext as os_ext
from build_migrator.modules import Parser
from ._common.command_tokenizer import CommandTokenizer
from ._common.replace_line import ReplaceLine
from ._common.response_file import ResponseFile
from ._common.inline_file_content import Inline... |
3241232 | import glob
from os.path import basename, dirname, join, normpath, splitext
from deidentify.base import Corpus, Document
from deidentify.dataset import brat
BASE_PATH = join(dirname(__file__), '../../data/corpus/')
DUMMY_CORPUS = join(BASE_PATH, 'dummy/')
_CORPUS_DIRS = map(lambda dir: basename(normpath(dir)), glob.... |
3241242 | import json
from pathlib import Path
import pytest
import responses
from api4jenkins import Jenkins
from api4jenkins import Item, Folder
from api4jenkins.job import WorkflowJob, WorkflowMultiBranchProject
from api4jenkins.build import WorkflowRun, FreeStyleBuild
from api4jenkins import Credentials
from api4jenkins.cre... |
3241253 | from daiquiri.core.utils import import_class
from daiquiri.jobs.routers import JobRouter
from django.conf import settings
from django.urls import include, re_path
from django.views.generic import TemplateView
app_name = 'uws'
router = JobRouter(trailing_slash=False)
'''
add uws routes for the resources specified in ... |
3241328 | from avalanche.models.dynamic_modules import MultiTaskModule
import torch.nn as nn
def avalanche_forward(model, x, task_labels):
if isinstance(model, MultiTaskModule):
return model(x, task_labels)
else: # no task labels
return model(x)
class FeatureExtractorBackbone(nn.Module):
"""
... |
3241336 | import os
import time
import itertools
import numpy as np
import torch
import torch.nn as nn
from tqdm import tqdm
tqdm.monitor_interval = 0
import torch.optim as optim
from torch.autograd import Variable
from torch.utils.data import DataLoader
#from tensorboard_logger import configure, log_value
from torch.utils.data.... |
3241341 | from models.language_model import LanguageModel
import torch
from torch import nn
from torch import optim
from torch.autograd import variable
from helpers import torch_utils
config = {}
config['vocab_size'] = 25
config['hidden_size'] = 50
config['embedding_size'] = 10
config['num_layers'] = 1
config['dropout'] =... |
3241370 | import numpy as np
import cv2
from mscoco import table
def get_classes(index):
obj = [v for k, v in table.mscoco2017.items()]
sorted(obj, key=lambda x:x[0])
classes = [j for i, j in obj]
np.random.seed(420)
colors = np.random.randint(0, 224, size=(len(classes), 3))
return classes[index], tuple... |
3241394 | from boardfarm.orchestration import TestStep as TS
from boardfarm.tests.bft_base_test import BftBaseTest
class test_teardown1(BftBaseTest):
def startMarker(self):
pass
def endMarker(self):
pass
def executionWrapper(self):
pass
def run(self, *args, **kwargs):
pass
... |
3241459 | import argparse
import warnings
import numpy as np
from sklearn.metrics import accuracy_score, f1_score
from sklearn.model_selection import GridSearchCV, KFold, StratifiedKFold
from sklearn.svm import SVC, LinearSVC
from gcc.datasets.data_util import create_graph_classification_dataset
from gcc.tasks import build_m... |
3241483 | from django import forms
class MendelianAnalysisForm(forms.Form):
ANALYSIS_CHOICES = (('', '----'),
('autosomal_dominant', 'autosomal_dominant'),
('autosomal_recessive', 'autosomal_recessive'),
('compound_heterozygous', 'compound_heterozygous... |
3241552 | import scipy.io
import scipy.misc
from glob import glob
import os
import numpy as np
from ops import *
import tensorflow as tf
from tensorflow import contrib
from menpo_functions import *
from logging_functions import *
from data_loading_functions import *
class DeepHeatmapsModel(object):
"""facial landmark loca... |
3241590 | import abc
from typing import List, Type
from nuplan.common.maps.abstract_map_factory import AbstractMapFactory
from nuplan.planning.scenario_builder.abstract_scenario import AbstractScenario
from nuplan.planning.scenario_builder.scenario_filter import ScenarioFilter
from nuplan.planning.utils.multithreading.worker_po... |
3241630 | import lib.utils as utils
def test_get_workspace():
d = utils.get_workspace(
{"repositoryUri": "https://github.com/AppThreat/WebGoat", "branch": "develop"}
)
assert d == "https://github.com/AppThreat/WebGoat/blob/develop"
d = utils.get_workspace({"repositoryUri": "", "branch": "develop"})
... |
3241668 | from utils import combine_cv
from os.path import join, exists, realpath, dirname
from os import system, makedirs
import multiprocessing as mp
import argparse
import numpy as np
cwd = dirname(realpath(__file__))
def parse_args():
parser = argparse.ArgumentParser(description="Launch a list of commands on EC2.")
... |
3241757 | from grab.spider.base import Spider # noqa
from grab.spider.data import Data # noqa
from grab.spider.task import Task # noqa
from grab.spider.error import * # noqa pylint: disable=wildcard-import
|
3241796 | from flask_login import UserMixin
from sqlalchemy.ext.hybrid import hybrid_method
from sqlalchemy_utils import PasswordType, UUIDType
from annotator.extensions import db
class User(db.Model, UserMixin):
__tablename__ = 'user'
id = db.Column(
UUIDType(binary=False),
server_default=db.func.uui... |
3241815 | from typing import List
from urllib.parse import quote
from buffpy.models.update import Update
PATHS = {
"GET_PENDING": "profiles/{}/updates/pending.json",
"GET_SENT": "profiles/{}/updates/sent.json",
"SHUFFLE": "profiles/{}/updates/shuffle.json",
"REORDER": "profiles/{}/updates/reorder.json",
"C... |
3241816 | from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Activation, Dropout
from tensorflow.keras.optimizers import Adam
import numpy as np
from training_data_creation import data_creator
def model_c():
data_creator()
X=np.load('X_train.npy')
Y=np.load('Y_train.npy')
model = Sequen... |
3241831 | import pytest
from aspect_based_sentiment_analysis import (
load,
load_examples,
LabeledExample,
Sentiment
)
from aspect_based_sentiment_analysis.loads import NotFound
def test_load():
nlp = load('absa/classifier-rest-0.2')
text = ("We are great fans of Slack, but we wish the subscriptions "
... |
3241872 | from setuptools import setup
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name='semanticscholar',
version='0.1.6',
description='A python library that aims to retrieve data from Semantic Scholar API',
long_description=long_description,
long_description_content_type="te... |
3241925 | import numpy as np
import pytest
from jina import Document, DocumentArray, DocumentArrayMemmap
from .pages import Pages
from .utils.benchmark import benchmark_time
NUM_REPETITIONS = 10
@pytest.mark.parametrize(
'num_docs,num_feat', [(100, 128), (10_000, 128), (10_000, 256)]
)
def test_da_embeddings(num_docs, nu... |
3241936 | import string
from users.models import UserProfile
allowed_chars = string.ascii_letters + string.digits
make_password = UserProfile.objects.make_random_password
for user in UserProfile.objects.filter(password=""):
user.set_password(make_password(length=50, allowed_chars=allowed_chars))
user.notes = 'bug1035... |
3241957 | import random
def randint(num_a, num_b):
return random.randint(num_a,num_b)
def random_clip(list,k = 1):
# input continous sequence and return random subsequences
len_list = len(list)
if len_list>=k:
can_use_num = len_list - k
else:
s = [i for i in range(len_list)]
... |
3241986 | import torch
import torch.nn as nn
import torch.nn.functional as F
from .resblocks import Block, OptimizedBlock
class ResNetAC(nn.Module):
def __init__(self, ch=64, n_classes=0, activation=F.relu, bn=False):
super(ResNetAC, self).__init__()
self.activation = activation
self.block1 = Optimiz... |
3241993 | import argparse
import onnx
import onnxsim
import onnx2daq
def main():
parser = argparse.ArgumentParser()
parser.add_argument('input_model', help='Input ONNX model')
parser.add_argument('output_model', help='Output daq model')
parser.add_argument('table_file', nargs='?', help='Table file for 8-bit qu... |
3242072 | from ._C_netket.variational import *
import itertools
def _Vmc_iter(self, n_iter=None, step_size=1):
"""
iter(self: Vmc, n_iter: int=None, step_size: int=1) -> int
Returns a generator which advances the VMC optimization, yielding
after every step_size steps up to n_iter.
Args:
n_iter (i... |
3242073 | import json
import os
import torch
import torch.utils.data as data
import torchvision.transforms as transforms
import numpy as np
import random
import pdb
import skimage.io as io
import h5py
import matplotlib.pyplot as plt
from PIL import Image
def parse_file(dataset_adr, categories):
dataset = []
with open(... |
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