id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
3319873 | import os
import logging
from abc import ABCMeta, abstractmethod
import numpy as np
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
import pandas as pd
import h5py
from specutils import Spectrum1D
from astropy import units as u
logger = logging.getLogger(__name__)
class BaseSpectralGr... |
3319919 | async def test3():
async for i in x:
if i > 20:
continue
else:
c
d
|
3320008 | def f(n):
return (n-1)/5*4
#print f(96.)
def f6(n):
for i in range(6):
n=f(n)
return n
def is_int(n):
return abs(n - int(n)) < 0.0000001
n=0
found = False
while not found:
n +=1
found = is_int(f6(float(n)))
print n
print 12495/5 |
3320017 | import logging
import os
from google.appengine.ext.webapp import template
from controllers.base_controller import LoggedInHandler
from models.sitevar import Sitevar
class AdminGamedayDashboard(LoggedInHandler):
"""
Configure things about gameday
"""
def get(self):
self._require_admin()
... |
3320032 | from .model import Model
class ConditionalModel(Model):
"""
A conditional maximum-entropy (exponential-form) model p(x|w) on a
discrete sample space.
This is useful for classification problems:
given the context w, what is the probability of each class x?
The form of such a model is::
... |
3320043 | from collections import deque
from math import inf
from typing import List, Union, Deque
from hwt.code import Concat
from hwt.hdl.types.bits import Bits
from hwt.hdl.types.bitsVal import BitsVal
from hwt.hdl.types.hdlType import HdlType
from hwt.hdl.value import HValue
from hwt.synthesizer.rtlLevel.constants import NO... |
3320068 | import testflows.settings as settings
from testflows.core import *
@TestStep(Given)
def instrument_clickhouse_server_log(self, node=None, test=None,
clickhouse_server_log="/var/log/clickhouse-server/clickhouse-server.log"):
"""Instrument clickhouse-server.log for the current test (default)
by adding st... |
3320078 | import configparser
import time
from TM1py import TM1Service
config = configparser.ConfigParser()
# storing the credentials in a file is not recommended for purposes other than testing.
# it's better to setup CAM with SSO or use keyring to store credentials in the windows credential manager. Sample:
# Samples/credent... |
3320097 | from leapp.utils.deprecation import deprecated
@deprecated('2010-01-01', 'Deprecated class without __init__')
class DeprecatedNoInit(object):
pass
@deprecated('2010-01-01', 'Deprecated class with __init__')
class DeprecatedWithInit(object):
pass
@deprecated('2010-01-01', 'Deprecated base class without __i... |
3320139 | import cv2
import sys, datetime
from time import sleep
import numpy as np
GREEN = (0, 255, 0)
BLUE = (255, 0, 0)
RED = (0, 0, 255)
def draw_boxes(frame, boxes, color=(0,255,0)):
for (x, y, w, h) in boxes:
cv2.rectangle(frame, (int(x), int(y)), (int(x+w), int(y+h)), color, 2)
return frame
def resize_... |
3320176 | import time
import copy
import torch
import torch.nn as nn
from collections import defaultdict
import numpy as np
import torch
import math
import torch.nn.functional as F
from torch.nn import Sequential
from torch.nn import init
from torch.nn.parameter import Parameter
###
from DIM.dim_loss import *
from DIM.train_pr... |
3320211 | MIN_LATITUDE = -90.0
MAX_LATITUDE = 90.0
MIN_LONGITUDE = -180.0
MAX_LONGITUDE = 180.0
CACHE_DIR = "cache"
|
3320223 | import tempfile
import platform
import subprocess
from sys import version_info
from pathlib import Path
from pkgutil import iter_modules
from skbuild import setup
# To be replaced by: from setuptools_scm import get_version
def get_version():
return "2.3.0"
def _zivid_sdk_version():
return "2.5.0"
def _zivi... |
3320249 | import plugins.adversary.app.config as config
from plugins.adversary.app.commands import static
from plugins.adversary.app.operation.operation import Step, OPRat, OPFile, OPPersistence
class LogonPersistence(Step):
"""
Description:
This step attempts to maintain persistence using script configured to ... |
3320259 | import copy
from collections import defaultdict
from typing import List, Dict, Any, Union, Generator
from paramtools.sorted_key_list import SortedKeyList
from paramtools.typing import ValueObject
def default_cmp_func(x):
return x
class ValueItem:
"""
Handles index-based look-ups on the Values class.
... |
3320288 | from optparse import OptionValueError
from twitter.common.lang import Compatibility
from twitter.common.quantity import Data, Time, Amount
class InvalidTime(ValueError):
def __init__(self, timestring):
ValueError.__init__(self, "Invalid time span: %s" % timestring)
def parse_time(timestring):
"""
Parse... |
3320307 | import logging
import os
import math
from collections import defaultdict
from gensim import corpora
# 引入斷詞與停用詞的配置
from Matcher.matcher import Matcher
class Evaluator(Matcher):
"""
讀入一串推文串列，計算出當中可靠度最高的推文
"""
def __init__(self,segLib="jieba"):
#FIXME 若「線上版本」受記憶體容量限制，需考慮更換為 jieba!
supe... |
3320317 | import abunSplitter
from finisherSCCoreLib import houseKeeper
import time
import argparse
import abunHouseKeeper
t0 = time.time()
parser = argparse.ArgumentParser(description='aSplitter')
parser.add_argument('folderName')
parser.add_argument('mummerLink')
parser.add_argument('-f', '--fast', help= 'Fast aligns conti... |
3320367 | from .models import make, load
from . import convnet4
from . import resnet12
from . import resnet
from . import classifier
from . import meta_baseline
|
3320373 | import dedupe
import logging
import os
import re
import sys
import traceback
from collections import defaultdict
from datetime import datetime
from django.conf import settings
from django.contrib.postgres.search import TrigramSimilarity
from django.db import transaction
from django.db.models import Q, Max
from unideco... |
3320374 | from triggerflow import Triggerflow, CloudEvent
from triggerflow.eventsources import RedisEventSource
from triggerflow.functions import PythonCallable
redis_config = {
'host': '127.0.0.1',
'port': 6379,
'db': 0,
'password': '<PASSWORD>'
}
redis_eventsource = RedisEventSource(**redis_config)
tf = Trig... |
3320391 | def is_palindrome(n):
n = str(n)
return n == n[::-1]
def main():
max = 0
for i in range(999, 99, -1):
for j in range(999, 99, -1):
if is_palindrome(i*j):
if i*j>max:
max = i*j
print(max)
if __name__ == '__main__':
main() |
3320448 | from PIL import Image
from PIL import ImageFilter
import utils.logger as logger
#from utils.rotate import rotate
from config import *
from typing import Tuple, List
import sys
i = 0
def crop_image(image, area:Tuple) -> object:
''' Uses PIL to crop an image, given its area.
Input:
image - PIL opened image
Area - C... |
3320479 | import unittest
import sys
sys.path.append('../')
from Phyme import rhymeUtils as ru
from Phyme.util import flatten
class RhymeUtilsTest(unittest.TestCase):
def test_get_phones(self):
# get_phones returns correct (number of) phones
self.assertEqual(len(ru.get_phones('dog')), 3)
self.asser... |
3320484 | import argparse
def get_args():
parser = argparse.ArgumentParser(
description="GNN baselines on ogbgmol* data with Pytorch Geometrics"
)
parser.add_argument(
"--device", type=int, default=0, help="which gpu to use if any (default: 0)"
)
parser.add_argument(
"--gnn",
... |
3320510 | import numpy
import matplotlib.pyplot as plt
import pandas
import math
from keras.models import Sequential
from keras.layers import Dense, LSTM, Dropout
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import mean_squared_error
import pandas as pd
import scipy.io as sio
from os import listdir
from os... |
3320544 | from pynwb import TimeSeries
import numpy as np
from bisect import bisect, bisect_left
def get_timeseries_tt(node: TimeSeries, istart=0, istop=None) -> np.ndarray:
"""
For any TimeSeries, return timestamps. If the TimeSeries uses starting_time and rate, the timestamps will be
generated.
Parameters
... |
3320566 | import pytest
from sonata.circuit import File, Edge
def test_edge_population(net):
edges = net.edges['v1_to_v1']
assert(len(edges) == 48286)
assert(edges.source_population == 'v1')
assert(edges.target_population == 'v1')
def test_population_itr_all(net):
edges = net.edges['v1_to_v1']
for i,... |
3320619 | import sys, wx
sys.path.append('../../')
from sciwx.mesh import Canvas3D, MCanvas3D
from sciapp.util import surfutil, meshutil
from sciapp.object import Scene, Mesh, Surface2d, Surface3d, TextSet, Volume3d
from sciwx.mesh import Canvas3DFrame, Canvas3DNoteBook, Canvas3DNoteFrame
import sys, wx
import scipy.ndimage as ... |
3320644 | from solvers import MCH,MPF,Pseudo,ClusterExpansion,Enumerate,RegularizedMeanField
from utils import *
|
3320646 | class Orcamento:
def __init__(self, valor):
self.__valor = valor
@property
def valor(self):
return self.__valor
|
3320669 | r"""
Tests for the :mod:`scglue.metrics` module
"""
# pylint: disable=redefined-outer-name, wildcard-import, unused-wildcard-import
import numpy as np
import pytest
import scglue.metrics
from .fixtures import *
def test_mean_average_precision(rna_pp):
mean_average_precision = scglue.metrics.mean_average_prec... |
3320677 | from datasets.census_dataloader import get_income_census_dataloaders
from models.experiment_adaptation_pretrain_learner import FederatedDAANLearner
from models.experiment_finetune_target_learner import FederatedTargetLearner
from utils import get_timestamp, get_current_date, create_id_from_hyperparameters, test_classif... |
3320720 | import os
import sys
import hashlib
from urllib.request import urlopen
from math import ceil
from loguru import logger
from tqdm import tqdm
from nltk.internals import is_writable
path_list = []
_paths_from_env = os.environ.get("TPS_DATA", str("")).split(os.pathsep)
path_list += [d for d in _paths_from_env if d]
i... |
3320740 | import glob
import user_paths as up
import os
import pandas as pd
def build():
# folder name, map name, interpreter file name
otypes = [
('nD', 'nDMaterials', 'OpenSeesNDMaterialCommands', 'Material',),
('uniaxial', 'uniaxialMaterials', 'OpenSeesUniaxialMaterialCommands', 'Material'),
... |
3320771 | from operator import itemgetter
class ColorsForCounts(object):
"""
Maintain a collection of count thresholds and colors with methods to get a
color or a CSS name for a count.
@param colors: An C{iterable} of space separated "value color" strings,
such as ["100 red", "200 rgb(23, 190, 207)", "... |
3320774 | from sqlite3 import connect
database_name = 'database.db'
class DataBase:
@staticmethod
def createTable(query):
try:
con = connect(database_name)
c = con.cursor()
c.execute(query)
except Exception as e:
print("error:", e)
@staticmethod... |
3320790 | import pytest
from mkdocs_redirects.plugin import get_relative_html_path
@pytest.mark.parametrize(["old_page", "new_page", "expected"], [
("old.md", "index.md", "../"),
("old.md", "new.md", "../new/"),
("foo/old.md", "foo/new.md", "../new/"),
("foo/fizz/old.md", "foo/bar/new.md", "../../bar/new/"),
... |
3320794 | import platform
from .exceptions import InvalidInputType
from .flags import Flags
LINUX = 'Linux'
WINDOWS = 'Windows'
OSX = 'Darwin'
# For format() and format_input()
default_end = '\n'
class Printy:
"""
Applies a format to the output of the print statement according
to the flag (or flags).
We can... |
3320866 | from __future__ import absolute_import, print_function
import unittest
import torch
import random
import time
from lib.models import AlexNetV1, AlexNetV2
class TestAlexNet(unittest.TestCase):
def setUp(self):
self.x = torch.randn((2, 3, 224, 224))
def tearDown(self):
pass
def test_ale... |
3320869 | from .DyTrader import *
class UiTrader(DyTrader):
"""
券商窗口交易接口基类
"""
name = 'UI'
heartBeatTimer = 60
pollingCurEntrustTimer = 5
maxRetryNbr = 3 # 最大重试次数
def __init__(self, eventEngine, info, accountConfigFile=None):
super().__init__(eventEngine, info, None, accountConfig... |
3320876 | from collections import OrderedDict
from pathlib import Path
import pytest
from Pegasus.yaml import dumps, loads
@pytest.mark.parametrize(
"s, expected",
[
("key: 1", 1),
("key: 2018-10-10", "2018-10-10"),
("key: yes", "yes"),
("key: true", True),
],
)
def test_loads(s, e... |
3320954 | from .point2d import Point2d
from .point3d import Point3d
from .intervals import Interval, Scale
"""
increase to encompass a point
increase/decrease by a margin
addition between two boxes
boolean operations?
two corner points
initialized with:
intervals
interval tuples
width/height/depth
points
arb... |
3320979 | import os
import pickle
import shutil
import tempfile
import unittest
from typing import Any, Dict, List
import web3
from web3.main import Web3
from moonworm.contracts import ERC20
from moonworm.crawler.function_call_crawler import (
EthereumStateProvider,
FunctionCallCrawler,
PickleFileState,
Web3Sta... |
3320991 | import json
import os
import pybullet as p
from bddl.object_taxonomy import ObjectTaxonomy
from IPython import embed
def set_pos_orn(body_id, pos, orn):
p.resetBasePositionAndOrientation(body_id, pos, orn)
def get_pos_orn(body_id):
return p.getBasePositionAndOrientation(body_id)
def save_box(obj_inst_dir... |
3321007 | import torch
import urllib
import matplotlib.pyplot as plt
import os
model = torch.hub.load('pytorch/vision:v0.9.0', 'deeplabv3_resnet101', pretrained=True)
model.eval()
# Download an example image from the pytorch website
url, filename = ("https://github.com/pytorch/hub/raw/master/images/dog.jpg", "dog.jpg"... |
3321009 | import pandas as pd
import numpy as np
from gensim.models import KeyedVectors
from sklearn.manifold import TSNE
import matplotlib.pyplot as plt
# http://www.fao.org/countryprofiles/iso3list/en/
country = pd.read_table('ch07/countries.tsv')
country = country['Short name'].values
model = KeyedVectors.load_word2vec_for... |
3321011 | import os
import shutil
import torch
# refer to https://github.com/xternalz/WideResNet-pytorch
def save_checkpoint(state, config, is_best, filename='checkpoint.pth.tar'):
"""Saves checkpoint to disk"""
if not os.path.exists(config.snapshot_dir):
os.makedirs(config.snapshot_dir)
filename = config.... |
3321086 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import shutil
import sys
import tempfile
from observations.r.vince111b import vince111b
def test_vince111b():
"""Test module vince111b.py by downloading
vince111b.csv and testing shape of
extracted d... |
3321087 | from aiogithub import objects
from aiogithub.objects.response import BaseResponseObject
from aiogithub.utils import return_key
class Commit(BaseResponseObject):
_url = 'repos/{login}/{repo}/commits/{sha}'
@staticmethod
def _get_key_mappings():
return {
'author': objects.User,
... |
3321096 | import math
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image, ImageFilter
from skimage import io, measure
from scipy.cluster.vq import kmeans
# can identify up to 255 objects
def mark_objects(image: Image.Image):
new_image = image.copy()
current = 0
free_labels = []
pixels = ... |
3321101 | from flask_wtf import FlaskForm
from flask_wtf.file import FileField
from flask_babel import lazy_gettext as _
from wtforms import StringField, SelectField, TextAreaField, DateField
from wtforms.validators import InputRequired
from app.forms.util import FieldVerticalSplit
class CompanyForm(FlaskForm):
name = Stri... |
3321108 | import csv
import os.path
import matplotlib
import numpy as np
from matplotlib import pyplot as plt
matplotlib.rcParams.update({'font.size': 15})
n_trial = 10
top_k = 1
batch_size = 1000
max_step = np.inf
max_reward = np.inf
min_reward = -np.inf
exp_name = 'CartpoleNd'
exp_param = 'D1SUT5'
extra_name = 'MCTS'
prepa... |
3321117 | import json
import six
from functools import cmp_to_key
from operator import itemgetter as ig
from meetup.api import API_SERVICE_FILES
OMIT_SERVICE = ['CreateBatch', 'Widget', 'WidgetQuery']
def cmp(a, b):
return (a > b) - (a < b)
def multikeysort(items, columns):
comparers = [
((ig(col[1:].strip(... |
3321131 | import aiohttp
import asyncio
import pytest
from asynctest import CoroutineMock, patch
from kutana import Kutana, Plugin, RequestException, Attachment
from kutana.backends import Telegram
from test_telegram_data import MESSAGES, UPDATES, ATTACHMENTS
def test_no_token():
with pytest.raises(ValueError):
Tel... |
3321137 | import csv
import os
import time
from collections import Iterable
from collections import OrderedDict
import keras.backend as K
import numpy as np
import six
from keras.callbacks import Callback
from sklearn.model_selection import train_test_split
def train_validate_test_split(df, train_percent=0.6, validate_percent... |
3321140 | import random
# gives back an integer between 0 and 10 (inclusive)
rand_int = random.randrange(11)
print('I have thought of a number between 0 and 10.')
print('Can you guess it within 4 attempts?\n')
for _ in range(4):
guess = int(input('Enter your guess: '))
if guess == rand_int:
print('Wow, you gues... |
3321176 | import codecs
import ipaddress
import logging
import random
import socket
import traceback
from netaudio.dante.channel import DanteChannel
from netaudio.dante.subscription import DanteSubscription
from netaudio.dante.const import (
DEVICE_CONTROL_PORT,
DEVICE_SETTINGS_PORT,
FEATURE_VOLUME_UNSUPPORTED,
... |
3321244 | class Solution:
def breakPalindrome(self, palindrome: str) -> str:
"""
:type palindrome: str
:rtype: str
"""
for i in range(len(palindrome)):
if palindrome[i] == 'a':
continue
if (i == int(len(palindrome) / 2)):
continue... |
3321245 | from leapp.actors import Actor
from leapp.exceptions import StopActorExecutionError
from leapp.models import Report, KernelCmdline
from leapp.tags import IPUWorkflowTag, ChecksPhaseTag
from leapp import reporting
class CheckFips(Actor):
"""
Inhibit upgrade if FIPS is detected as enabled.
"""
name = '... |
3321247 | import sys
from getpass import getpass
from requests import post
from requests.exceptions import ConnectionError as ReqConError
from .ip_checker import BaseUser, IPChecker, fh
class DomainsUser(BaseUser):
BASE_URL = "@domains.google.com/nic/update?hostname="
def __init__(self):
super().__init__()
... |
3321352 | import numpy as np
class Mass:
def __init__(self, model):
"""
Defines the ShellProperties object.
Parameters
----------
model : BDF
the BDF object
"""
self.model = model
self.n = 0
self.conm1 = model.conm1
self.conm2 = mode... |
3321356 | import json
from app.common.datatypes import DataTypes
from app.common.scoring_conf import ScoringMethods
from config import Config
__author__ = 'andreap'
from flask import Flask, Response, current_app, request
from flask_restful import fields
import pprint
class ResponseType():
JSON='json'
XML='xml'
TS... |
3321377 | import multiprocessing
bind = "0.0.0.0:8000"
workers = multiprocessing.cpu_count() * 2 + 1
errorlog = '/tmp/logs/gunicorn/access.log'
loglevel = 'info'
accesslog = '/tmp/logs/gunicorn/error.log'
# UNCOMMENT BELOW IF USING SSL
#secure_scheme_headers = {'X-FORWARDED-PROTOCOL': 'ssl', 'X-FORWARDED-PROTO': 'https', 'X-FO... |
3321394 | import asyncio
import bleak.backends.bluezdbus.defs as defs # type: ignore
from typing import List, Any, Callable, Optional, Union
from txdbus import client # type: ignore
from txdbus.objects import DBusObject, RemoteDBusObject # type: ignore
from bless.backends.bluezdbus.dbus.advertisement import ( # type: ign... |
3321407 | import sys
class PingdomEmailReport(object):
"""Class represening a pingdom email report
Attributes:
* id -- Subscription identifier
* name -- Subscription name
* checkid -- Check identifier for check subscriptions
* frequency -- Report frequency
* additionalemails --... |
3321413 | from Tkinter import *
import tkMessageBox
from tkFileDialog import asksaveasfilename, askdirectory, askopenfilename
from tkMessageBox import askokcancel
import csv
import os
import json
import webbrowser
"""
Author: <NAME>
Credits: Elochukwu Ifediora C.
"""
class Template:
def __init__(self, template=None):
... |
3321492 | import pytest
import trafaret as t
def test_dataerror_value():
error = t.DataError(error='Wait for good value', value='BAD ONE', code='bad_value')
assert error.as_dict() == 'Wait for good value'
assert error.as_dict(value=True) == "Wait for good value, got 'BAD ONE'"
assert error.to_struct() == {
... |
3321513 | import time
import cv2
from OCR.tf_tesseract.my_vgsl_model import ctc_loss, ctc_decode
from OCR.ocr_utils import *
from tensorflow.python.ops import state_ops
from tensorflow.contrib.cudnn_rnn.python.ops.cudnn_rnn_ops import \
cudnn_rnn_canonical_to_opaque_params, CudnnLSTMSaveable
def init(params, u... |
3321517 | import numpy as np
import matplotlib.pyplot as plt
import cv2
import random
from skimage import measure
import torch
from torchvision import utils
def make_numpy_grid(tensor_data):
# tensor_data: b x c x h x w, [0, 1], tensor
tensor_data = tensor_data.detach()
vis = utils.make_grid(tensor_... |
3321520 | import os
import tensorflow as tf
from google.protobuf import text_format
from tensorflow.python.client import timeline
from tensorflow.python.profiler.option_builder import ProfileOptionBuilder
def profile_report(sess, ops, feed_dict, out_dir, filename_prefix, filename_suffix):
"""
Creates a profile report.... |
3321534 | class Trie:
def __init__(self):
self.size = 0
self.value = 0
self.letter_map = dict()
def __repr__(self):
return "{}: {}".format(self.letter_map, self.value)
def add_word(self, word, value):
if not word:
self.value += value
return
let... |
3321569 | import os
import sys
import time
from slidedeck.render import process_slides
try:
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler
except:
print('#'*78)
print('The watch command requires that you install the python package "watchdog"')
print('for monitoring... |
3321592 | from distutils.core import setup
setup(
name='pySchloss',
version='0.2',
packages=['pySchloss'],
url='https://github.com/PJaros/pySchloss',
license='Apache License, Version 2.0',
author='<NAME>',
author_email='<EMAIL>',
description='Programm zum Schlosssystem im Ruum42',
# See ... |
3321613 | import pytest
from insights.parsers.pam import PamConf, PamDConf, PamConfEntry
from insights.parsers import get_active_lines, pam
from insights.tests import context_wrap
import doctest
PAM_CONF_DATA = """
#%PAM-1.0
vsftpd auth required pam_securetty.so
vsftpd auth requisite pam_unix.so n... |
3321635 | from functools import wraps
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
List,
Literal,
Optional,
TypeVar,
Union,
cast,
)
from devtools import debug
from pydantic.main import BaseModel
from pepperbot.exceptions import EmptySelectionException
class ContextItem(BaseM... |
3321654 | import six
from .node import Node
@six.python_2_unicode_compatible
class StockExchange(Node):
"""Represents a Website on CrunchBase"""
KNOWN_PROPERTIES = [
'name',
'short_name',
'symbol',
'created_at',
'updated_at',
]
def __str__(self):
return u'{name... |
3321667 | configfile: "config.yaml"
import os
import glob
def get_ids_from_path_pattern(path_pattern):
ids = sorted([os.path.basename(os.path.splitext(val)[0])
for val in (glob.glob(path_pattern))])
return ids
# Make sure that final_bins/ folder contains all bins in single folder for binIDs
# wildcar... |
3321674 | from pyecharts import options as opts
from pyecharts.charts import Bar
from pyecharts.faker import Faker
c = (
Bar()
.add_xaxis(Faker.choose())
.add_yaxis("商家A", Faker.values(), stack="stack1")
.add_yaxis("商家B", Faker.values(), stack="stack1")
.set_series_opts(label_opts=opts.LabelOpts(is_show=Fals... |
3321677 | import numpy as np
import random,re
from PIL import Image
char_set=['7', 'p', 'w', 'n', '3', 'd', '6', 'b', '4', '2', 'g', 'a', 'c', '8', 'f', 'x', 'e', 'y', '5', 'm']
width, height, n_len, n_class = 100, 35, 6, len(char_set)
def text2vec(text):
text_len = len(text)
if text_len > n_len:
raise ValueEr... |
3321682 | import os
import argparse
import pandas as pd
import xml.etree.ElementTree as ET
def xml_to_csv(path):
xml_list = []
for file in os.scandir(path):
if file.is_file() and file.name.endswith(('.xml')):
xml_file = os.path.join(path, file.name)
tree = ET.parse(xml_file)
... |
3321782 | import pandas as pd
import json
### get data from BarishNews telegram news server. It is daily number
str_barishnews="{"+""""◽️تهران: 256
◽️قم: 53
◽️گیلان: 5
◽️اصفهان: 170
◽️البرز: 45
◽️مازندران: 32
◽️مرکزی: 31
◽️قزوین: 27
◽️سمنان: 63
◽️گلستان: 9
◽️خراسان رضوی: 34
◽️فارس: 19
◽️لرستان: 9
◽️آذربایجان شرقی: 29
◽️خوزستان: ... |
3321818 | from typing import Union
import logging
from multiprocessing import Process
from pathlib import Path
import shutil
import time
import daemon
from filelock import FileLock
import requests
from .utils import API_URL, is_alive, load_json
class Sender:
"""
Send logs to alchemy backend.
"""
_url = API_U... |
3321887 | import torch
from torchvision import transforms
import torch.nn as nn
from model import ModelSpatial
from dataset import GazeFollow
from config import *
from utils import imutils, evaluation
import argparse
import os
from datetime import datetime
import shutil
import numpy as np
from scipy.misc import imresize
from t... |
3321936 | from typing import Tuple, List
from clearml import Task
import fire
def with_ret() -> Tuple:
print("With ret called")
return 1, 2
def with_args(arg1: int, arg2: List):
print("With args called", arg1, arg2)
def with_args_and_ret(arg1: int, arg2: List) -> Tuple:
print("With args and ret called", arg... |
3321974 | from ixnetwork_restpy.base import Base
from ixnetwork_restpy.files import Files
class Intprobemarker(Base):
__slots__ = ()
_SDM_NAME = 'intprobemarker'
_SDM_ATT_MAP = {
'HeaderPm': 'probemarker.header.pm-1',
}
def __init__(self, parent, list_op=False):
super(Intprobemarker, self).... |
3321991 | import logging
from typing import List
from airflow_monitor.common import capture_monitor_exception
from airflow_monitor.common.airflow_data import (
AirflowDagRun,
AirflowDagRunsResponse,
DagRunsStateData,
)
from airflow_monitor.common.base_component import BaseMonitorComponent, start_syncer
logger = l... |
3322033 | from click.testing import CliRunner
from coreapi import Document, Link
from coreapi.transports import HTTPTransport
from coreapi_cli import __version__ as version
from coreapi_cli.main import client, coerce_key_types
import pytest
import os
import shutil
import tempfile
mock_response = None
def set_response(doc):
... |
3322065 | from sqlalchemy import inspect
from sqlalchemy.engine.reflection import Inspector
from sqlmodel import create_engine
def test_create_db_and_table(clear_sqlmodel):
from docs_src.tutorial.create_db_and_table import tutorial003 as mod
mod.sqlite_url = "sqlite://"
mod.engine = create_engine(mod.sqlite_url)
... |
3322069 | from typing import List
from datetime import timedelta
from ebedke.utils import http
from ebedke.pluginmanager import EbedkePlugin
URL = "http://fruccola.hu/hu"
API = "http://fruccola.hu/admin/api/daily_menu"
def getMenu(today):
date = today.strftime("%Y-%m-%d")
out: List[str] = []
for place in http.get(... |
3322096 | import sys
import gdb
gdb.execute("file ./simple")
gdb.execute("break main")
gdb.execute("tbreak model_parameters::userfunction(void)")
gdb.breakpoints()
gdb.execute("run")
gdb.execute("bt")
class HelloWorld:
def __init__ (self):
self.name = "HelloWorld"
print "Hello, World!"
HelloWorld ()
gdb.execute("con... |
3322114 | from function import *
from argparse import ArgumentParser
from function import __doc__ as doc
from sys import version_info , exit
from os import popen
if version_info[0] > 2:
exit("Only Python2.7 is supported")
########### Arguements of the program ##############
parser = ArgumentParser()
parser.add_argument("-p", "... |
3322138 | GET_UNIQUE_ID = "SELECT nextval('audio_id_seq');"
IS_EXIST = (
"select exists(select 1 from media_metadata_staging where raw_file_name= :file_name "
"or media_hash_code = :hash_code);"
)
COMMAND_WITH_LICENSE = (
"COPY media_metadata_staging(raw_file_name,duration,title,"
"speaker_name,audio_id,cleaned_d... |
3322172 | import torch
from torch.utils.data import Dataset
import random
import numpy as np
import h5py
from model.hparam import hp
class AMI_Dataset(Dataset):
'''
This class is used to load and split the dataset in order to create batches (in parallel).
(It inherits the torch.utils.data.Dataset class).
In p... |
3322180 | import re
import numpy as np
import logging
import time
import io
import sys
import cv2
import pandas as pd
from math import ceil
from datetime import timedelta
import os
from utilities.pandas_loader import load_csv
import cv2
def atoi(text):
return int(text) if text.isdigit() else text
def get_elapsed_time_and... |
3322187 | from __future__ import unicode_literals, division, print_function, absolute_import
import os
import matplotlib.pyplot as plt
from datasets.cancer_papers.load_cancer import articles2dict
from textcatvis.visualize_relevantwords import visualize_tfidf, visualize_distinctive, visualize_clf
from textcatvis.check_query impor... |
3322193 | import numpy as np
from c4.evaldiff import evaldiff
from c4.engine.base import Engine
from c4.evaluate import Evaluator, INF
class GreedyEngine(Engine):
def __init__(self):
self._evaluator = Evaluator()
self.evaluate = self._evaluator.evaluate
def choose(self, board):
moves = board.m... |
3322200 | import os
from multiprocessing import cpu_count
from pathlib import Path
import pickle
import re
from PIL import Image
import pandas as pd
import numpy as np
from sklearn.preprocessing import OneHotEncoder
from sklearn.utils.class_weight import compute_class_weight
from sklearn.model_selection import train_test_split
... |
3322220 | import numpy as np
from PIL import Image
from nets.srgan import build_generator
from utils.utils import preprocess_input, cvtColor
class SRGAN(object):
#-----------------------------------------#
# 注意修改model_path
#-----------------------------------------#
_defaults = {
#-------... |
3322227 | import sys
from pathlib import Path
def check_if_available(prg, msg):
"""
Check if the given program is available.
If not, then die with the given error message.
"""
if not Path(prg).is_file():
print(msg, file=sys.stderr)
sys.exit(1)
|
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