code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
from neutronclient.common import extension
from neutronclient.i18n import _
from neutronclient.neutron import v2_0 as gw_mappingV20
class SwitchportMapping(extension.NeutronClientExtension):
resource = 'switchport_mapping'
resource_plural = 'switchport_mappings'
path = 'net-topology/switchport_mappings'
... | nuage_neutronclient/net_topology.py |
from neutronclient.common import extension
from neutronclient.i18n import _
from neutronclient.neutron import v2_0 as gw_mappingV20
class SwitchportMapping(extension.NeutronClientExtension):
resource = 'switchport_mapping'
resource_plural = 'switchport_mappings'
path = 'net-topology/switchport_mappings'
... | 0.587707 | 0.048428 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
from ._enums import *
__all__ = [
'ConfigDiagnosticsValidatorResultIssueArgs',
'ConfigDiagnosticsValidatorResultArgs',
'ConfigDiagnosticsArgs',
'DomainSec... | sdk/python/pulumi_azure_native/aad/v20210501/_inputs.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
from ._enums import *
__all__ = [
'ConfigDiagnosticsValidatorResultIssueArgs',
'ConfigDiagnosticsValidatorResultArgs',
'ConfigDiagnosticsArgs',
'DomainSec... | 0.851351 | 0.057971 |
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the Licens... | floris/tools/interface_utilities.py |
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the Licens... | 0.675978 | 0.172729 |
import pytest
from tests.factories.tag import (
tag_lazy_marketing,
tag_lazy_necessary,
tag_lazy_preferences,
tag_instant_necessary,
)
from tests.factories.trigger import TriggerFactory, TriggerConditionFactory
from wagtail_tag_manager.models import (
Tag,
Trigger,
Constant,
Variable,
... | tests/unit/test_models.py | import pytest
from tests.factories.tag import (
tag_lazy_marketing,
tag_lazy_necessary,
tag_lazy_preferences,
tag_instant_necessary,
)
from tests.factories.trigger import TriggerFactory, TriggerConditionFactory
from wagtail_tag_manager.models import (
Tag,
Trigger,
Constant,
Variable,
... | 0.508056 | 0.548855 |
import logging
import random
import shutil
import socket
from datetime import datetime
from pathlib import Path
import numpy as np
import torch
import torch.distributed as dist
import torch.optim as optim
from torch.backends import cudnn
from torch.nn.parallel import DistributedDataParallel as DDP
from torch.utils.ten... | code/learning/initialize.py | import logging
import random
import shutil
import socket
from datetime import datetime
from pathlib import Path
import numpy as np
import torch
import torch.distributed as dist
import torch.optim as optim
from torch.backends import cudnn
from torch.nn.parallel import DistributedDataParallel as DDP
from torch.utils.ten... | 0.574634 | 0.179728 |
from molsysmt._private.exceptions import *
from molsysmt.form.string_aminoacids3.is_string_aminoacids3 import is_string_aminoacids3 as is_form
from molsysmt.form.string_aminoacids3.extract import extract
from molsysmt.form.string_aminoacids3.add import add
from molsysmt.form.string_aminoacids3.append_structures import... | molsysmt/api_forms/api_string_aminoacids3.py | from molsysmt._private.exceptions import *
from molsysmt.form.string_aminoacids3.is_string_aminoacids3 import is_string_aminoacids3 as is_form
from molsysmt.form.string_aminoacids3.extract import extract
from molsysmt.form.string_aminoacids3.add import add
from molsysmt.form.string_aminoacids3.append_structures import... | 0.408513 | 0.238816 |
currencies = [
(u'ALL', u'Albanian Lek'),
(u'DZD', u'Algerian Dinar'),
(u'XAL', u'Aluminium Ounces'),
(u'ARS', u'Argentine Peso'),
(u'AWG', u'Aruba Florin'),
(u'AUD', u'Australian Dollar'),
(u'BSD', u'Bahamian Dollar'),
(u'BHD', u'Bahraini Dinar'),
(u'BDT', u'Bangladesh Taka'),
(... | eridanusstd/currency.py | currencies = [
(u'ALL', u'Albanian Lek'),
(u'DZD', u'Algerian Dinar'),
(u'XAL', u'Aluminium Ounces'),
(u'ARS', u'Argentine Peso'),
(u'AWG', u'Aruba Florin'),
(u'AUD', u'Australian Dollar'),
(u'BSD', u'Bahamian Dollar'),
(u'BHD', u'Bahraini Dinar'),
(u'BDT', u'Bangladesh Taka'),
(... | 0.346099 | 0.127816 |
import click
import json
import yaml
import sys
import getpass
import os
from lib.conf import Configuration
from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
from pykeepass import PyKeePass
from lib.encryption.aespcrypt import AESPCrypt
def init_keepass(ctx):
keepass_filename = os.path.join... | valkyrie.py | import click
import json
import yaml
import sys
import getpass
import os
from lib.conf import Configuration
from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
from pykeepass import PyKeePass
from lib.encryption.aespcrypt import AESPCrypt
def init_keepass(ctx):
keepass_filename = os.path.join... | 0.155078 | 0.044307 |
import asyncio
import telepot
from telepot.namedtuple import InlineKeyboardMarkup, InlineKeyboardButton
from bot import public_plugins
from message import Message
def show_help(num):
res = []
t = []
counter = 10 * num
for plugin in public_plugins[counter:]:
if not plugin['sudo'] and 'usage' ... | plugins/help.py | import asyncio
import telepot
from telepot.namedtuple import InlineKeyboardMarkup, InlineKeyboardButton
from bot import public_plugins
from message import Message
def show_help(num):
res = []
t = []
counter = 10 * num
for plugin in public_plugins[counter:]:
if not plugin['sudo'] and 'usage' ... | 0.304352 | 0.166608 |
from kivy.uix.boxlayout import BoxLayout
from popups.mypopup import MyPopup
from kivy.clock import Clock
from pysftp.helpers import st_mode_to_int
from kivy.properties import StringProperty, NumericProperty
class ChmodPopup(BoxLayout):
value_error = StringProperty('')
mode = StringProperty('')
owner_read ... | popups/chmodpopup.py | from kivy.uix.boxlayout import BoxLayout
from popups.mypopup import MyPopup
from kivy.clock import Clock
from pysftp.helpers import st_mode_to_int
from kivy.properties import StringProperty, NumericProperty
class ChmodPopup(BoxLayout):
value_error = StringProperty('')
mode = StringProperty('')
owner_read ... | 0.441312 | 0.094135 |
from __future__ import absolute_import, print_function
from flask_babelex import lazy_gettext as _
from flask_login import current_user
from flask_security.forms import email_required, email_validator, \
unique_user_email
from flask_wtf import FlaskForm
from sqlalchemy.orm.exc import NoResultFound
from wtforms imp... | invenio_userprofiles/forms.py | from __future__ import absolute_import, print_function
from flask_babelex import lazy_gettext as _
from flask_login import current_user
from flask_security.forms import email_required, email_validator, \
unique_user_email
from flask_wtf import FlaskForm
from sqlalchemy.orm.exc import NoResultFound
from wtforms imp... | 0.758779 | 0.131452 |
# pylint: disable=no-self-argument,no-name-in-module
from enum import Enum
from typing import Optional, Union, List, Dict, Type, Any
from datetime import datetime
from pydantic import root_validator, BaseModel, AnyHttpUrl, AnyUrl, EmailStr
from optimade.models import jsonapi
from optimade.models.utils import Semanti... | optimade/models/optimade_json.py | # pylint: disable=no-self-argument,no-name-in-module
from enum import Enum
from typing import Optional, Union, List, Dict, Type, Any
from datetime import datetime
from pydantic import root_validator, BaseModel, AnyHttpUrl, AnyUrl, EmailStr
from optimade.models import jsonapi
from optimade.models.utils import Semanti... | 0.879069 | 0.183539 |
import torch
import torch.nn as nn
import torch.nn.functional as func
from torchsupport.data.io import netwrite
from torchsupport.training.training import Training, BasicTraining
class RelabelTraining(BasicTraining):
"""Relabelling training process.
Arguments:
net (Module) : a trainable network module.
t... | torchsupport/experimental/autonomous.py | import torch
import torch.nn as nn
import torch.nn.functional as func
from torchsupport.data.io import netwrite
from torchsupport.training.training import Training, BasicTraining
class RelabelTraining(BasicTraining):
"""Relabelling training process.
Arguments:
net (Module) : a trainable network module.
t... | 0.927692 | 0.668055 |
from django.test import TestCase
from accounts.forms import UserRegistrationForm
from directory.tests.factories import OrganisationFactory
class UserRegistrationFormTest(TestCase):
def setUp(self):
self.organisation = OrganisationFactory.create()
def test_permissions_grant(self):
"""
... | apps/accounts/tests/test_forms.py | from django.test import TestCase
from accounts.forms import UserRegistrationForm
from directory.tests.factories import OrganisationFactory
class UserRegistrationFormTest(TestCase):
def setUp(self):
self.organisation = OrganisationFactory.create()
def test_permissions_grant(self):
"""
... | 0.522202 | 0.406891 |
import asyncio
import logging
import time
import types
import typing as T
from zeroconf import ServiceStateChange
from zeroconf.asyncio import AsyncServiceBrowser, AsyncServiceInfo, AsyncZeroconf
from .models import DiscoveredDeviceInfo
logger = logging.getLogger(__name__)
class Network:
def __init__(self) -> ... | src/pupil_labs/realtime_api/discovery.py | import asyncio
import logging
import time
import types
import typing as T
from zeroconf import ServiceStateChange
from zeroconf.asyncio import AsyncServiceBrowser, AsyncServiceInfo, AsyncZeroconf
from .models import DiscoveredDeviceInfo
logger = logging.getLogger(__name__)
class Network:
def __init__(self) -> ... | 0.547706 | 0.090293 |
from django.utils.safestring import mark_safe
from django import forms
from django.forms.widgets import TextInput, Media
from django.core.validators import validate_email
from django.utils.translation import ugettext_lazy as _
from django.utils import timezone
from django.contrib.auth.models import User
from .models.l... | events/forms.py | from django.utils.safestring import mark_safe
from django import forms
from django.forms.widgets import TextInput, Media
from django.core.validators import validate_email
from django.utils.translation import ugettext_lazy as _
from django.utils import timezone
from django.contrib.auth.models import User
from .models.l... | 0.553747 | 0.119331 |
import datetime
import traceback
from pathlib import Path
import pyspark
import pyspark.sql.functions as F
from pyspark.sql.types import IntegerType, LongType, StringType, StructField, StructType
import lsde2021.download as dl
from lsde2021.types import PathLike
def aggregate_daily_pageviews(
date: datetime.dat... | lsde2021/aggregate.py | import datetime
import traceback
from pathlib import Path
import pyspark
import pyspark.sql.functions as F
from pyspark.sql.types import IntegerType, LongType, StringType, StructField, StructType
import lsde2021.download as dl
from lsde2021.types import PathLike
def aggregate_daily_pageviews(
date: datetime.dat... | 0.530966 | 0.26783 |
import sys
from PyQt5.QtWidgets import *
from Views.newFileWindow import Ui_newFileWindow
from Model.model import *
class NewFileWindow(QDialog):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.ui = Ui_newFileWindow()
self.ui.setupUi(self)
# Connect... | Controllers/newFileWindow_main.py | import sys
from PyQt5.QtWidgets import *
from Views.newFileWindow import Ui_newFileWindow
from Model.model import *
class NewFileWindow(QDialog):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.ui = Ui_newFileWindow()
self.ui.setupUi(self)
# Connect... | 0.294012 | 0.102799 |
import collections
import os
def getType(fname_lower):
keywords = {'benign', 'malware'}
for word in keywords:
if fname_lower.find(word) >= 0 :
return word
return"Notyp" #this is impossible
def getYear(fname_lower)->str:
keywords = set()
for i in range(2010, 2020):
keyw... | MultiCompat/Utils.py | import collections
import os
def getType(fname_lower):
keywords = {'benign', 'malware'}
for word in keywords:
if fname_lower.find(word) >= 0 :
return word
return"Notyp" #this is impossible
def getYear(fname_lower)->str:
keywords = set()
for i in range(2010, 2020):
keyw... | 0.232571 | 0.121009 |
__author__ = 'wypych'
import logging
import platform
import getpass
import getopt
import sys
import os
import re
import xml.etree.ElementTree as ET
from sets import ImmutableSet
class RedRelease(object):
def __init__(self):
self.myLogger = MyLogger()
def usage(self):
print 'Usage: \n'
... | misc/scripts/building/RedReleaseVersionUpdater.py | __author__ = 'wypych'
import logging
import platform
import getpass
import getopt
import sys
import os
import re
import xml.etree.ElementTree as ET
from sets import ImmutableSet
class RedRelease(object):
def __init__(self):
self.myLogger = MyLogger()
def usage(self):
print 'Usage: \n'
... | 0.114827 | 0.05328 |
import logging
from django.template.defaultfilters import date
from django.utils.dateparse import parse_datetime
from django.utils.timezone import now
from django_unicorn.components import UnicornView
logger = logging.getLogger(__name__)
DAY_FORMATS = (
{"format": "d", "meaning": "Day of the month, 2 digits with... | unicorn/components/django_date_filter.py | import logging
from django.template.defaultfilters import date
from django.utils.dateparse import parse_datetime
from django.utils.timezone import now
from django_unicorn.components import UnicornView
logger = logging.getLogger(__name__)
DAY_FORMATS = (
{"format": "d", "meaning": "Day of the month, 2 digits with... | 0.544801 | 0.435061 |
import os
import sys
import random
import warnings
import types
import time
import gc
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from tqdm import tqdm
from itertools import chain
from skimage.io import imread, imshow, imread_collection, concatenate_images
from skimage.transform import res... | examples/Notebooks/04_Kaggle_DSB_2018/src/UNet/UNet.py | import os
import sys
import random
import warnings
import types
import time
import gc
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from tqdm import tqdm
from itertools import chain
from skimage.io import imread, imshow, imread_collection, concatenate_images
from skimage.transform import res... | 0.397588 | 0.182062 |
#ref: https://fenicsproject.org/docs/dolfin/latest/python/demos/elastodynamics/demo_elastodynamics.py.html
def advance(t_sim, timestep, n_elem, M, C, K):
import numpy as np
import scipy.linalg as LA
import ipdb
fixed_dofs = 4
dof_per_node = 2
dofs = (n_elem + 1) * dof_per_node -... | Dyn_Beam/old_NM/generalized_alpha_method.py |
#ref: https://fenicsproject.org/docs/dolfin/latest/python/demos/elastodynamics/demo_elastodynamics.py.html
def advance(t_sim, timestep, n_elem, M, C, K):
import numpy as np
import scipy.linalg as LA
import ipdb
fixed_dofs = 4
dof_per_node = 2
dofs = (n_elem + 1) * dof_per_node -... | 0.498047 | 0.545104 |
import argparse
import numpy as np
import copy
import os
import random
from domains.sliding_tile_puzzle import SlidingTilePuzzle
from os.path import join
def main():
parser = argparse.ArgumentParser()
parser.add_argument('-filetrain', action='store', dest='file_train',
default='tr... | src/stp_puzzle_generator.py | import argparse
import numpy as np
import copy
import os
import random
from domains.sliding_tile_puzzle import SlidingTilePuzzle
from os.path import join
def main():
parser = argparse.ArgumentParser()
parser.add_argument('-filetrain', action='store', dest='file_train',
default='tr... | 0.282394 | 0.218346 |
import warnings
from typing import Set, TypeVar, Tuple, Iterable
from submodmax.value_reuse.abstract_optimizer import AbstractSubmodularFunctionValueReuse, AbstractOptimizerValueReuse, FuncInfo
from submodmax.value_reuse.set_info import SetInfo
E = TypeVar('E')
class AbstractDoubleGreedySearchValueReuse(AbstractOpt... | submodmax/value_reuse/abstract_double_greedy_search.py | import warnings
from typing import Set, TypeVar, Tuple, Iterable
from submodmax.value_reuse.abstract_optimizer import AbstractSubmodularFunctionValueReuse, AbstractOptimizerValueReuse, FuncInfo
from submodmax.value_reuse.set_info import SetInfo
E = TypeVar('E')
class AbstractDoubleGreedySearchValueReuse(AbstractOpt... | 0.608943 | 0.220867 |
import yaml
import os.path as osp
import six
import copy
from collections import OrderedDict
import paddle.fluid as fluid
from paddle.fluid.framework import Parameter
import paddlex
import paddlex.utils.logging as logging
def load_model(model_dir, fixed_input_shape=None):
if not osp.exists(osp.join(model_dir, "m... | paddlex/cv/models/load_model.py |
import yaml
import os.path as osp
import six
import copy
from collections import OrderedDict
import paddle.fluid as fluid
from paddle.fluid.framework import Parameter
import paddlex
import paddlex.utils.logging as logging
def load_model(model_dir, fixed_input_shape=None):
if not osp.exists(osp.join(model_dir, "m... | 0.316158 | 0.256931 |
import sys
PYTHON_MAJOR_VERSION = sys.version_info
import os
import posixpath
try:
import urlparse as url_parser
import urllib2
urlopen = urllib2.urlopen
except ImportError:
import urllib.parse as url_parser
from urllib.request import urlopen as url_opener
urlopen = url_opener
from m3u8.mod... | m3u8/__init__.py |
import sys
PYTHON_MAJOR_VERSION = sys.version_info
import os
import posixpath
try:
import urlparse as url_parser
import urllib2
urlopen = urllib2.urlopen
except ImportError:
import urllib.parse as url_parser
from urllib.request import urlopen as url_opener
urlopen = url_opener
from m3u8.mod... | 0.33764 | 0.094594 |
from unittest import TestCase
from numpy import random as rnd, full, inf, array_equal
from NiaPy.util import Task, OptimizationType
from NiaPy.algorithms.algorithm import Individual, Algorithm
class MyBenchmark:
def __init__(self):
self.Lower = -5.12
self.Upper = 5.12
self.optType = OptimizationType.MINIMIZATIO... | NiaPy/tests/test_algorithm.py | from unittest import TestCase
from numpy import random as rnd, full, inf, array_equal
from NiaPy.util import Task, OptimizationType
from NiaPy.algorithms.algorithm import Individual, Algorithm
class MyBenchmark:
def __init__(self):
self.Lower = -5.12
self.Upper = 5.12
self.optType = OptimizationType.MINIMIZATIO... | 0.702938 | 0.706431 |
from flask_login import current_user
from flask_wtf import FlaskForm
from flask_wtf.file import FileAllowed, FileField
from wtforms import (BooleanField, PasswordField, StringField, SubmitField,
TextAreaField)
from wtforms.validators import (DataRequired, Email, EqualTo, Length,
... | core/forms.py | from flask_login import current_user
from flask_wtf import FlaskForm
from flask_wtf.file import FileAllowed, FileField
from wtforms import (BooleanField, PasswordField, StringField, SubmitField,
TextAreaField)
from wtforms.validators import (DataRequired, Email, EqualTo, Length,
... | 0.437343 | 0.130756 |
from RPi.GPIO import PWM, OUT, setup
from time import sleep
from threading import Thread
from atexit import register
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM)
register(GPIO.cleanup)
class GeneralPurposeOutputDevice:
def __init__(self, pin: int, starting_value: float=0, max_value: float=1):
assert 0.... | utils/output_devices.py | from RPi.GPIO import PWM, OUT, setup
from time import sleep
from threading import Thread
from atexit import register
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM)
register(GPIO.cleanup)
class GeneralPurposeOutputDevice:
def __init__(self, pin: int, starting_value: float=0, max_value: float=1):
assert 0.... | 0.572723 | 0.324811 |
import logging
import os
import subprocess
import psutil
def make_abs(path, base_dir=None):
base_dir = base_dir or os.getcwd()
if not os.path.isabs(path):
return os.path.join(base_dir, path)
return path
def contains_files(d):
"""Check if a directory contains any normal files"""
for _,... | mit_d3m/utils.py |
import logging
import os
import subprocess
import psutil
def make_abs(path, base_dir=None):
base_dir = base_dir or os.getcwd()
if not os.path.isabs(path):
return os.path.join(base_dir, path)
return path
def contains_files(d):
"""Check if a directory contains any normal files"""
for _,... | 0.437583 | 0.129265 |
import math
from typing import List, Tuple, Type
import torch as th
import torch.nn as nn
from .lstm import LSTM
class MultiLayerLSTM(nn.Module):
"""
MultiLayer LSTM of any type.
Note: Dropout is deactivated on the last layer.
"""
def __init__(self, input_size: int, layer_type: Type[LSTM], la... | lstms/container.py | import math
from typing import List, Tuple, Type
import torch as th
import torch.nn as nn
from .lstm import LSTM
class MultiLayerLSTM(nn.Module):
"""
MultiLayer LSTM of any type.
Note: Dropout is deactivated on the last layer.
"""
def __init__(self, input_size: int, layer_type: Type[LSTM], la... | 0.862742 | 0.428413 |
import execjs
import requests
import re
import random
import time
class Reply(object):
def __init__(self):
self.headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
' (KHTML, like Gecko) Chrome/76.0.3809.132 Safari/537.36',
... | baidutieba/add_reply.py | import execjs
import requests
import re
import random
import time
class Reply(object):
def __init__(self):
self.headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
' (KHTML, like Gecko) Chrome/76.0.3809.132 Safari/537.36',
... | 0.120698 | 0.086323 |
import unittest
from pylibbitcoin.client import checksum
class TestChecksum(unittest.TestCase):
"""
The variable `hash` has the format 12 discarded bytes + 8 relevant bytes +
12 discared bytes.
Only the first 49 bits in the 8 relevant bytes are really relevant the
remainder is overwritten by the i... | test/test_checksum.py | import unittest
from pylibbitcoin.client import checksum
class TestChecksum(unittest.TestCase):
"""
The variable `hash` has the format 12 discarded bytes + 8 relevant bytes +
12 discared bytes.
Only the first 49 bits in the 8 relevant bytes are really relevant the
remainder is overwritten by the i... | 0.68437 | 0.511107 |
"reference functions"
import base64
import hashlib
import logging
import secrets # python secrets module
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import serialization
from cryptography.hazmat.primitives.asymmetric import rsa
from kapitan.errors import RefError
l... | kapitan/refs/functions.py |
"reference functions"
import base64
import hashlib
import logging
import secrets # python secrets module
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import serialization
from cryptography.hazmat.primitives.asymmetric import rsa
from kapitan.errors import RefError
l... | 0.620392 | 0.169509 |
import pytest
import random
import string
from common import client, node_default_tags, volume_name # NOQA
from common import check_volume_replicas, cleanup_volume, \
generate_volume_name, get_self_host_id, get_update_disks, set_node_tags, \
wait_for_volume_delete, wait_for_volume_detached, \
wait_for_volu... | manager/integration/tests/test_tagging.py | import pytest
import random
import string
from common import client, node_default_tags, volume_name # NOQA
from common import check_volume_replicas, cleanup_volume, \
generate_volume_name, get_self_host_id, get_update_disks, set_node_tags, \
wait_for_volume_delete, wait_for_volume_detached, \
wait_for_volu... | 0.570092 | 0.394288 |
import pygame
K_BACKSPACE = pygame.K_BACKSPACE
K_TAB = pygame.K_TAB
K_CLEAR = pygame.K_CLEAR
K_RETURN = pygame.K_RETURN
K_PAUSE = pygame.K_PAUSE
K_ESCAPE = pygame.K_ESCAPE
K_SPACE = pygame.K_SPACE
K_EXCLAIM = pygame.K_EXCLAIM
K_QUOTEDBL = pygame.K_QUOTEDBL
K_HASH = pygame.K_HASH
K_DOLLAR = pygame.K_DOLLAR
K... | pgw/__keys.py | import pygame
K_BACKSPACE = pygame.K_BACKSPACE
K_TAB = pygame.K_TAB
K_CLEAR = pygame.K_CLEAR
K_RETURN = pygame.K_RETURN
K_PAUSE = pygame.K_PAUSE
K_ESCAPE = pygame.K_ESCAPE
K_SPACE = pygame.K_SPACE
K_EXCLAIM = pygame.K_EXCLAIM
K_QUOTEDBL = pygame.K_QUOTEDBL
K_HASH = pygame.K_HASH
K_DOLLAR = pygame.K_DOLLAR
K... | 0.153708 | 0.041813 |
import numpy as np
from typing import Optional
class AutoCorrelationsSettings:
def __init__(
self,
check_for_convergence: Optional[bool] = None,
check_size: Optional[int] = None,
required_length: Optional[int] = None,
change_threshold: Option... | autofit/non_linear/mcmc/auto_correlations.py | import numpy as np
from typing import Optional
class AutoCorrelationsSettings:
def __init__(
self,
check_for_convergence: Optional[bool] = None,
check_size: Optional[int] = None,
required_length: Optional[int] = None,
change_threshold: Option... | 0.942441 | 0.560072 |
from security_scripts.information.lib import shlog
import os
def main(args):
"""Run tag, s3, secret, certificate, repo inventory reports"""
from security_scripts.information.lib import vanilla_utils
from security_scripts.information.lib import tags
from security_scripts.information.lib import s3
... | security_scripts/information/report.py | from security_scripts.information.lib import shlog
import os
def main(args):
"""Run tag, s3, secret, certificate, repo inventory reports"""
from security_scripts.information.lib import vanilla_utils
from security_scripts.information.lib import tags
from security_scripts.information.lib import s3
... | 0.337204 | 0.080828 |
from rest_framework import generics, permissions, views, status
from rest_framework.response import Response
from .models import Course, Group, Code
from .serializers import CourseSerializer, GroupSerializer, CodeSerializer
from users.models import User
class CourseListView(generics.ListAPIView):
permission_clas... | web/prowlbackend/core/views.py | from rest_framework import generics, permissions, views, status
from rest_framework.response import Response
from .models import Course, Group, Code
from .serializers import CourseSerializer, GroupSerializer, CodeSerializer
from users.models import User
class CourseListView(generics.ListAPIView):
permission_clas... | 0.499756 | 0.109372 |
import shutil
import tarfile
from pathlib import Path
from urllib.request import urlretrieve
import numpy
import requests
from setuptools import Extension, setup
from Cython.Build import cythonize
def download_eigen(deps_dir):
deps_dir = Path(deps_dir)
deps_dir.mkdir(exist_ok=True)
# download Eigen if w... | setup.py | import shutil
import tarfile
from pathlib import Path
from urllib.request import urlretrieve
import numpy
import requests
from setuptools import Extension, setup
from Cython.Build import cythonize
def download_eigen(deps_dir):
deps_dir = Path(deps_dir)
deps_dir.mkdir(exist_ok=True)
# download Eigen if w... | 0.286968 | 0.251171 |
from pixiedust.display import display
from pixiedust.display.display import *
from pixiedust.utils.shellAccess import ShellAccess
from pixiedust.utils import Logger
from six import iteritems, string_types
from collections import OrderedDict, namedtuple
import base64
import inspect
import sys
from functools import parti... | pixiedust/display/app/pixieapp.py | from pixiedust.display import display
from pixiedust.display.display import *
from pixiedust.utils.shellAccess import ShellAccess
from pixiedust.utils import Logger
from six import iteritems, string_types
from collections import OrderedDict, namedtuple
import base64
import inspect
import sys
from functools import parti... | 0.573201 | 0.171234 |
import math
import json
import base64
import numpy as np
from numba import njit, int32
# this is a 1-to-1 translation of our js bloom filters to python
@njit(int32(int32))
def popcnt(v):
v -= (v >> 1) & 0x55555555
v = (v & 0x33333333) + ((v >> 2) & 0x33333333)
return ((v + (v >> 4) & 0xf0f0f0f) * 0x10... | fvnbloom/pybloom.py | import math
import json
import base64
import numpy as np
from numba import njit, int32
# this is a 1-to-1 translation of our js bloom filters to python
@njit(int32(int32))
def popcnt(v):
v -= (v >> 1) & 0x55555555
v = (v & 0x33333333) + ((v >> 2) & 0x33333333)
return ((v + (v >> 4) & 0xf0f0f0f) * 0x10... | 0.52683 | 0.411229 |
from adaptation_methods.base_model import BaseEncoderClass, TrainerTraceLog
import mxnet as mx
from mxnet import nd, gluon, autograd
class BNC(BaseEncoderClass):
# BatchNorm Classifier (BNC)
# source-free unsupervised domain adaptation method
# trains on source domain then switches to adaptation on target... | adaptation_methods/adapt_BNC.py | from adaptation_methods.base_model import BaseEncoderClass, TrainerTraceLog
import mxnet as mx
from mxnet import nd, gluon, autograd
class BNC(BaseEncoderClass):
# BatchNorm Classifier (BNC)
# source-free unsupervised domain adaptation method
# trains on source domain then switches to adaptation on target... | 0.857589 | 0.266654 |
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
class Decoder_GN(nn.Module):
def __init__(self, num_classes, backbone, groups):
super(Decoder_GN, self).__init__()
if backbone == 'resnet' or backbone == 'drn':
low_level_inplanes = 256
elif backbone... | modeling/decoder_gn.py | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
class Decoder_GN(nn.Module):
def __init__(self, num_classes, backbone, groups):
super(Decoder_GN, self).__init__()
if backbone == 'resnet' or backbone == 'drn':
low_level_inplanes = 256
elif backbone... | 0.931517 | 0.379982 |
from dassl.engine import TRAINER_REGISTRY
import torch
from torch.nn import functional as F
from dassl.engine.da.heterogeneous.heterogeneous_adaptation_dann import HeterogeneousDANN
import numpy as np
@TRAINER_REGISTRY.register()
class HeterogeneousDANNDSBN(HeterogeneousDANN):
"""
"""
def __init__(self... | EEG_Lightning/dassl/engine/da/heterogeneous/heterogeneous_adaptation_dann_DSBN.py | from dassl.engine import TRAINER_REGISTRY
import torch
from torch.nn import functional as F
from dassl.engine.da.heterogeneous.heterogeneous_adaptation_dann import HeterogeneousDANN
import numpy as np
@TRAINER_REGISTRY.register()
class HeterogeneousDANNDSBN(HeterogeneousDANN):
"""
"""
def __init__(self... | 0.568655 | 0.251039 |
import sys, os
import wintest, pexpect, time, subprocess
def set_krb5_conf(t):
t.putenv("KRB5_CONFIG", '${PREFIX}/private/krb5.conf')
def build_s4(t):
'''build samba4'''
t.info('Building s4')
t.chdir('${SOURCETREE}')
t.putenv('CC', 'ccache gcc')
t.run_cmd('make reconfigure || ./configure --ena... | release/src-rt-6.x.4708/router/samba3/wintest/test-s4-howto.py | import sys, os
import wintest, pexpect, time, subprocess
def set_krb5_conf(t):
t.putenv("KRB5_CONFIG", '${PREFIX}/private/krb5.conf')
def build_s4(t):
'''build samba4'''
t.info('Building s4')
t.chdir('${SOURCETREE}')
t.putenv('CC', 'ccache gcc')
t.run_cmd('make reconfigure || ./configure --ena... | 0.243193 | 0.074399 |
# In[3]:
import pandas as pd
import requests
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver import Chrome
import requests
from time import sleep
# parsing do HTML
from bs4 import BeautifulSoup
# expressões regulares
import re
# In[2]:
driver = Chrome()
# In[31]:
driver... | scraping_investing.com/biticoin.py |
# In[3]:
import pandas as pd
import requests
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver import Chrome
import requests
from time import sleep
# parsing do HTML
from bs4 import BeautifulSoup
# expressões regulares
import re
# In[2]:
driver = Chrome()
# In[31]:
driver... | 0.313105 | 0.192805 |
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "7"
import torch
import numpy as np
from scipy.spatial.distance import pdist, squareform
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
def GetIndicator(data, latent):
if torch.is_tensor(data):
data = data.detach().cpu().numpy()
... | evaluation.py | import os
os.environ["CUDA_VISIBLE_DEVICES"] = "7"
import torch
import numpy as np
from scipy.spatial.distance import pdist, squareform
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
def GetIndicator(data, latent):
if torch.is_tensor(data):
data = data.detach().cpu().numpy()
... | 0.539711 | 0.32888 |
import csv
import argparse
import sys
import os
parser = argparse.ArgumentParser(description = 'Mismatch writer for Bert')
parser.add_argument('--data_dir', type=str, required=True, help='Data directory')
parser.add_argument('--output_dir', type=str, required=True, help='Output directory')
parser.add_argument('--task_... | examples/text-classification/mismatch_writer.py | import csv
import argparse
import sys
import os
parser = argparse.ArgumentParser(description = 'Mismatch writer for Bert')
parser.add_argument('--data_dir', type=str, required=True, help='Data directory')
parser.add_argument('--output_dir', type=str, required=True, help='Output directory')
parser.add_argument('--task_... | 0.197251 | 0.110255 |
import logging
import fnmatch
from collections.abc import Iterable
from typing import Set, Optional, Union, List
from checkov.common.bridgecrew.severities import Severity, Severities
from checkov.common.checks.base_check import BaseCheck
from checkov.common.util.consts import DEFAULT_EXTERNAL_MODULES_DIR
from checkov.... | checkov/runner_filter.py | import logging
import fnmatch
from collections.abc import Iterable
from typing import Set, Optional, Union, List
from checkov.common.bridgecrew.severities import Severity, Severities
from checkov.common.checks.base_check import BaseCheck
from checkov.common.util.consts import DEFAULT_EXTERNAL_MODULES_DIR
from checkov.... | 0.781747 | 0.300681 |
from typing import Tuple
from collections import Counter
from allennlp.data.dataset_readers import MultiprocessDatasetReader, SequenceTaggingDatasetReader
from allennlp.data.instance import Instance
from allennlp.data.iterators import BasicIterator
from allennlp.data.vocabulary import Vocabulary
from allennlp.common.t... | allennlp/tests/data/dataset_readers/multiprocess_dataset_reader_test.py | from typing import Tuple
from collections import Counter
from allennlp.data.dataset_readers import MultiprocessDatasetReader, SequenceTaggingDatasetReader
from allennlp.data.instance import Instance
from allennlp.data.iterators import BasicIterator
from allennlp.data.vocabulary import Vocabulary
from allennlp.common.t... | 0.827236 | 0.51562 |
from datetime import datetime
from sqlalchemy import Boolean, Column, DateTime, Float, ForeignKey, Integer, JSON, String
from sqlalchemy.ext.declarative import declarative_base
base_cls = declarative_base()
TABLE_CLASS_DICT = dict()
def register_table_class(cls):
TABLE_CLASS_DICT[cls.__name__] = cls
return ... | backend/stream/db/table.py | from datetime import datetime
from sqlalchemy import Boolean, Column, DateTime, Float, ForeignKey, Integer, JSON, String
from sqlalchemy.ext.declarative import declarative_base
base_cls = declarative_base()
TABLE_CLASS_DICT = dict()
def register_table_class(cls):
TABLE_CLASS_DICT[cls.__name__] = cls
return ... | 0.759939 | 0.167117 |
from typing import TYPE_CHECKING, List, Tuple, Optional, Iterator
from pkg_resources import DistributionNotFound, get_distribution
from . import errors, lfs
from .lfs import __LFS_DISK_VERSION__, __LFS_VERSION__
try:
__version__ = get_distribution('littlefs-python').version
except DistributionNotFound:
# Pac... | src/littlefs/__init__.py | from typing import TYPE_CHECKING, List, Tuple, Optional, Iterator
from pkg_resources import DistributionNotFound, get_distribution
from . import errors, lfs
from .lfs import __LFS_DISK_VERSION__, __LFS_VERSION__
try:
__version__ = get_distribution('littlefs-python').version
except DistributionNotFound:
# Pac... | 0.791499 | 0.17989 |
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
import uuid
import time
import os
import traceback, sys
import wallet_api
import mixin_asset_id_collection
import sqlalchemy
import mixin_sqlalchemy_type
import exincore_api
import oceanone_api
import base64
import datetime
class Worke... | pixinwallet.py | from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
import uuid
import time
import os
import traceback, sys
import wallet_api
import mixin_asset_id_collection
import sqlalchemy
import mixin_sqlalchemy_type
import exincore_api
import oceanone_api
import base64
import datetime
class Worke... | 0.252753 | 0.062303 |
import unittest
from openstack import exceptions
from openstack.orchestration.v1 import stack
from openstack.tests.functional import base
from openstack.tests.functional.network.v2 import test_network
@unittest.skip("bug/1525005")
@unittest.skipUnless(base.service_exists(service_type='orchestration'),
... | openstack/tests/functional/orchestration/v1/test_stack.py |
import unittest
from openstack import exceptions
from openstack.orchestration.v1 import stack
from openstack.tests.functional import base
from openstack.tests.functional.network.v2 import test_network
@unittest.skip("bug/1525005")
@unittest.skipUnless(base.service_exists(service_type='orchestration'),
... | 0.44071 | 0.325775 |
import logging
import os
MQ_URL = os.getenv('RABBIT_MQ_URL',
'message-broker.default.svc.cluster.local')
"""Message queue (RabbitMQ) server host name."""
MQ_USER = os.getenv('RABBIT_MQ_USER', 'test')
"""Message queue (RabbitMQ) user name."""
MQ_PASS = os.getenv('RABBIT_MQ_PASS', '<PASSWORD>')
"""M... | reana_commons/config.py | import logging
import os
MQ_URL = os.getenv('RABBIT_MQ_URL',
'message-broker.default.svc.cluster.local')
"""Message queue (RabbitMQ) server host name."""
MQ_USER = os.getenv('RABBIT_MQ_USER', 'test')
"""Message queue (RabbitMQ) user name."""
MQ_PASS = os.getenv('RABBIT_MQ_PASS', '<PASSWORD>')
"""M... | 0.52975 | 0.073596 |
from tkinter import filedialog
import tkinter as tk
import pandas as pd
from sklearn.impute import SimpleImputer
from pandas.api.types import is_numeric_dtype
import numpy as np
root = tk.Tk()
root.wm_attributes('-topmost', 1)
root.withdraw()
class file_read(object):
def __init__(self, file_path, miss_format, de... | logistic_reg.py | from tkinter import filedialog
import tkinter as tk
import pandas as pd
from sklearn.impute import SimpleImputer
from pandas.api.types import is_numeric_dtype
import numpy as np
root = tk.Tk()
root.wm_attributes('-topmost', 1)
root.withdraw()
class file_read(object):
def __init__(self, file_path, miss_format, de... | 0.47317 | 0.306644 |
import argparse
import sys
import os
import logging
import json
import base64
import uuid
def run(command):
os.system(command)
def to_binary(uuidbson):
base64uuid = base64.b64encode(uuid.UUID(uuidbson["$uuid"]).bytes).decode("ASCII")
return {"$binary": base64uuid, "$type": "03"}
def extract_uuids(contai... | scenario_2/extract.py |
import argparse
import sys
import os
import logging
import json
import base64
import uuid
def run(command):
os.system(command)
def to_binary(uuidbson):
base64uuid = base64.b64encode(uuid.UUID(uuidbson["$uuid"]).bytes).decode("ASCII")
return {"$binary": base64uuid, "$type": "03"}
def extract_uuids(contai... | 0.210848 | 0.053379 |
import cv2
import sys
import numpy as np
def detect_reso_chart(image, verbose=False):
""" Detect the resolution test chart from image (numpy.array, one rotated rectangular with 4 slanted edges)
if photo is valid, (clear enough to recognise the four Aruco tags and camera is facing the target directly:
... | camcalibr/reso_meas_slanted/detect_reso_chart.py | import cv2
import sys
import numpy as np
def detect_reso_chart(image, verbose=False):
""" Detect the resolution test chart from image (numpy.array, one rotated rectangular with 4 slanted edges)
if photo is valid, (clear enough to recognise the four Aruco tags and camera is facing the target directly:
... | 0.487307 | 0.464355 |
import typing as T
import datetime
import traceback
import voluptuous as vol
from . import actor, schedule, util
from .room import Room
def build_schedule_rule(rule: dict) -> schedule.Rule:
"""Builds and returns a schedule rule from the given rule
definition."""
constraints = {}
for name, value in... | hass_apps/schedy/config.py | import typing as T
import datetime
import traceback
import voluptuous as vol
from . import actor, schedule, util
from .room import Room
def build_schedule_rule(rule: dict) -> schedule.Rule:
"""Builds and returns a schedule rule from the given rule
definition."""
constraints = {}
for name, value in... | 0.68637 | 0.230551 |
import json
import re
from ..resources import *
class TdvtTestConfig(object):
"""Track how items were tested. This captures how tdvt was invoked."""
def __init__(self, tested_sql = False, tested_tuples = True, tds = '', config = '', output_dir = '', logical = False, verbose = False, override = '', suite_name... | tdvt/tdvt/config_gen/tdvtconfig.py |
import json
import re
from ..resources import *
class TdvtTestConfig(object):
"""Track how items were tested. This captures how tdvt was invoked."""
def __init__(self, tested_sql = False, tested_tuples = True, tds = '', config = '', output_dir = '', logical = False, verbose = False, override = '', suite_name... | 0.485112 | 0.055183 |
from sqlalchemy import *
from migrate import *
from datetime import datetime
from migrate.changeset import schema
pre_meta = MetaData()
post_meta = MetaData()
ingestions = Table('ingestions', post_meta,
Column('id', Integer, primary_key=True, nullable=False),
Column('title', Unicode(length=255)),
Column('... | elmr/migrations/versions/001_migration.py | from sqlalchemy import *
from migrate import *
from datetime import datetime
from migrate.changeset import schema
pre_meta = MetaData()
post_meta = MetaData()
ingestions = Table('ingestions', post_meta,
Column('id', Integer, primary_key=True, nullable=False),
Column('title', Unicode(length=255)),
Column('... | 0.561095 | 0.082994 |
import logging
import os
import pickle
from typing import List, Tuple
import torch as to
from torch.utils.data import Dataset
from tqdm import tqdm
class GraphDataset(Dataset):
def __init__(self,
data_directory: str,
test_mode: bool = False) -> None:
self.data_directory ... | message_passing_nn/infrastructure/graph_dataset.py | import logging
import os
import pickle
from typing import List, Tuple
import torch as to
from torch.utils.data import Dataset
from tqdm import tqdm
class GraphDataset(Dataset):
def __init__(self,
data_directory: str,
test_mode: bool = False) -> None:
self.data_directory ... | 0.766992 | 0.398406 |
import lldb
from lldbsuite.test.lldbtest import *
from lldbsuite.test.decorators import *
import lldbsuite.test.lldbutil as lldbutil
import os
import unittest2
class TestSwiftExpressionScopes(TestBase):
mydir = TestBase.compute_mydir(__file__)
@swiftTest
@add_test_categories(["swiftpr"])
def test_ex... | packages/Python/lldbsuite/test/lang/swift/expression/scopes/TestExpressionScopes.py | import lldb
from lldbsuite.test.lldbtest import *
from lldbsuite.test.decorators import *
import lldbsuite.test.lldbutil as lldbutil
import os
import unittest2
class TestSwiftExpressionScopes(TestBase):
mydir = TestBase.compute_mydir(__file__)
@swiftTest
@add_test_categories(["swiftpr"])
def test_ex... | 0.555918 | 0.465327 |
import warnings
from unittest.mock import patch
import pytest
from packaging import version
from ixdat.exceptions import DeprecationError
from ixdat.tools import deprecate
# Standard arguments for deprecate
DEPRECATE_STANDARD_ARGS = {
"last_supported_release": "1.2.3",
"update_message": "Do SOMETHING ELSE no... | tests/unit/test_tools.py | import warnings
from unittest.mock import patch
import pytest
from packaging import version
from ixdat.exceptions import DeprecationError
from ixdat.tools import deprecate
# Standard arguments for deprecate
DEPRECATE_STANDARD_ARGS = {
"last_supported_release": "1.2.3",
"update_message": "Do SOMETHING ELSE no... | 0.719384 | 0.26424 |
from django.conf import settings
from django.db import models
from django.template.defaultfilters import slugify
from django.urls import reverse
from backend.utils import markdown_to_html
class ModelWithSlug(models.Model):
title = NotImplemented # text field
slug = models.SlugField(unique=True)
def sa... | backend/posts/models.py | from django.conf import settings
from django.db import models
from django.template.defaultfilters import slugify
from django.urls import reverse
from backend.utils import markdown_to_html
class ModelWithSlug(models.Model):
title = NotImplemented # text field
slug = models.SlugField(unique=True)
def sa... | 0.655777 | 0.127354 |
import getpass
import json
import re
from pathlib import Path
from tempfile import NamedTemporaryFile
import pytest
import yaml
from jsonschema import validate
from Pegasus.api.errors import DuplicateError
from Pegasus.api.site_catalog import (
OS,
PEGASUS_VERSION,
Arch,
Directory,
FileServer,
... | packages/pegasus-api/test/api/test_site_catalog.py | import getpass
import json
import re
from pathlib import Path
from tempfile import NamedTemporaryFile
import pytest
import yaml
from jsonschema import validate
from Pegasus.api.errors import DuplicateError
from Pegasus.api.site_catalog import (
OS,
PEGASUS_VERSION,
Arch,
Directory,
FileServer,
... | 0.486088 | 0.392104 |
from pydantic.validators import bytes_validator # noqa: F401
from fhir.resources import fhirtypes # noqa: F401
from fhir.resources import compartmentdefinition
def impl_compartmentdefinition_1(inst):
assert inst.code == "Device"
assert inst.contact[0].name == "[string]"
assert inst.contact[0].telecom[0]... | tests/test_compartmentdefinition.py | from pydantic.validators import bytes_validator # noqa: F401
from fhir.resources import fhirtypes # noqa: F401
from fhir.resources import compartmentdefinition
def impl_compartmentdefinition_1(inst):
assert inst.code == "Device"
assert inst.contact[0].name == "[string]"
assert inst.contact[0].telecom[0]... | 0.792183 | 0.613844 |
from .util import *
from .tidenexception import TidenException
import time
from datetime import datetime
from requests import post
from json import dumps, loads
class ZabbixApiException(TidenException):
pass
class ZabbixApi():
zapi = None
auth_key = None
logger = get_logger('tiden')
logger.set... | src/tiden/zabbix_api.py |
from .util import *
from .tidenexception import TidenException
import time
from datetime import datetime
from requests import post
from json import dumps, loads
class ZabbixApiException(TidenException):
pass
class ZabbixApi():
zapi = None
auth_key = None
logger = get_logger('tiden')
logger.set... | 0.531939 | 0.074265 |
import xml.etree.ElementTree as ET
import actionlib
import rospy
from actionlib_msgs.msg import GoalStatus
from control_msgs.msg import (
FollowJointTrajectoryAction,
FollowJointTrajectoryFeedback,
FollowJointTrajectoryGoal,
FollowJointTrajectoryActionResult,
JointTrajectoryControllerState,
)
from ... | zalmani_commander/src/zalmani_commander/robots.py | import xml.etree.ElementTree as ET
import actionlib
import rospy
from actionlib_msgs.msg import GoalStatus
from control_msgs.msg import (
FollowJointTrajectoryAction,
FollowJointTrajectoryFeedback,
FollowJointTrajectoryGoal,
FollowJointTrajectoryActionResult,
JointTrajectoryControllerState,
)
from ... | 0.828592 | 0.288488 |
from base import APITestCase
from vilya.libs.store import store
from vilya.models.gist_comment import GistComment
class GistTest(APITestCase):
def setUp(self):
store.execute('delete from gist_stars where id<10')
super(GistTest, self).setUp()
self.gist1 = self._add_gist(
descrip... | tests/webtests/api/test_gist.py | from base import APITestCase
from vilya.libs.store import store
from vilya.models.gist_comment import GistComment
class GistTest(APITestCase):
def setUp(self):
store.execute('delete from gist_stars where id<10')
super(GistTest, self).setUp()
self.gist1 = self._add_gist(
descrip... | 0.445047 | 0.247862 |
import numpy as np
import torch
from torch import nn
from cvpods.layers import cat, NormalizedLinear
class DisAlignFastRCNNOutputLayers(nn.Module):
"""
Two linear layers for predicting Fast R-CNN outputs:
(1) proposal-to-detection box regression deltas
(2) classification scores
"""
def ... | cvpods/modeling/roi_heads/disalign_fast_rcnn.py | import numpy as np
import torch
from torch import nn
from cvpods.layers import cat, NormalizedLinear
class DisAlignFastRCNNOutputLayers(nn.Module):
"""
Two linear layers for predicting Fast R-CNN outputs:
(1) proposal-to-detection box regression deltas
(2) classification scores
"""
def ... | 0.956917 | 0.66484 |
import os, re, sys, time, platform, subprocess as sp
class g:
directory_application = None
directory_carts = None
IP = "localhost"
pause = None
scale = None
on = False
p8 = None
write = ""
read = ""
def sub():
g.scale = str(g.scale * 128)
return sp.Popen([f... | utilities.py |
import os, re, sys, time, platform, subprocess as sp
class g:
directory_application = None
directory_carts = None
IP = "localhost"
pause = None
scale = None
on = False
p8 = None
write = ""
read = ""
def sub():
g.scale = str(g.scale * 128)
return sp.Popen([f... | 0.075204 | 0.075041 |
import argparse
from tqdm import tqdm
import torch
import torch.nn as nn
import torchvision
import poptorch
import torch.optim as optim
def get_mnist_data(opts):
training_data = torch.utils.data.DataLoader(
torchvision.datasets.MNIST('mnist_data/', train=True, download=True,
... | code_examples/pytorch/mnist/mnist_poptorch.py | import argparse
from tqdm import tqdm
import torch
import torch.nn as nn
import torchvision
import poptorch
import torch.optim as optim
def get_mnist_data(opts):
training_data = torch.utils.data.DataLoader(
torchvision.datasets.MNIST('mnist_data/', train=True, download=True,
... | 0.936619 | 0.539226 |
from DSGRN.Query.FixedPointTables import *
import os, sys
class HiddenPrints:
def __enter__(self):
self._original_stdout = sys.stdout
sys.stdout = open(os.devnull, 'w')
def __exit__(self, exc_type, exc_val, exc_tb):
sys.stdout.close()
sys.stdout = self._original_stdout
c... | src/NFixedPointQuery.py |
from DSGRN.Query.FixedPointTables import *
import os, sys
class HiddenPrints:
def __enter__(self):
self._original_stdout = sys.stdout
sys.stdout = open(os.devnull, 'w')
def __exit__(self, exc_type, exc_val, exc_tb):
sys.stdout.close()
sys.stdout = self._original_stdout
c... | 0.296858 | 0.123551 |
import pkg_resources
import sys
import time
from nose.tools import eq_ as eq
from nose.tools import with_setup
from util import main, setup_server, teardown_server, generate, \
startup, closeout
@with_setup(setup_server, teardown_server)
def test_generator():
for _test, browser in generate(__nam... | openmdao.gui/src/openmdao/gui/test/functional/test_workflow.py | import pkg_resources
import sys
import time
from nose.tools import eq_ as eq
from nose.tools import with_setup
from util import main, setup_server, teardown_server, generate, \
startup, closeout
@with_setup(setup_server, teardown_server)
def test_generator():
for _test, browser in generate(__nam... | 0.481454 | 0.421373 |
import os
import random
import subprocess
import flask as F
from datetime import datetime
from elekto import APP, constants
from elekto.models import utils
class Meta:
"""
Meta is the base class for all the yaml files based backend, the class is
responsible for syncing application with meta repository ... | elekto/models/meta.py |
import os
import random
import subprocess
import flask as F
from datetime import datetime
from elekto import APP, constants
from elekto.models import utils
class Meta:
"""
Meta is the base class for all the yaml files based backend, the class is
responsible for syncing application with meta repository ... | 0.419053 | 0.11129 |
import json
import mimetypes
import os
import re
import gimp
from gimpfu import *
from lib import (
guess_extension,
guess_mimetype,
listfiles,
)
QUALITY_FACTOR = 0.90
LOSSY = QUALITY_FACTOR < 1
def save_webp(image, drawable, path, filename):
pdb.file_webp_save(
image,
drawable,
... | gimp_generate_derivatives.py |
import json
import mimetypes
import os
import re
import gimp
from gimpfu import *
from lib import (
guess_extension,
guess_mimetype,
listfiles,
)
QUALITY_FACTOR = 0.90
LOSSY = QUALITY_FACTOR < 1
def save_webp(image, drawable, path, filename):
pdb.file_webp_save(
image,
drawable,
... | 0.512937 | 0.086709 |
__author__ = "Original code by <NAME> <https://github.com/MatthewInkawhich>, modified by <NAME>"
__copyright__ = "BSD 3-Clause license, 2017, Pytorch contributors"
# Contains the class definition of the vocabulary.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_func... | training/encoderDecoder_voc.py | __author__ = "Original code by <NAME> <https://github.com/MatthewInkawhich>, modified by <NAME>"
__copyright__ = "BSD 3-Clause license, 2017, Pytorch contributors"
# Contains the class definition of the vocabulary.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_func... | 0.710226 | 0.150653 |
import os
import matplotlib
import seaborn as sns
import torch
from torch import nn
from tqdm import tqdm
sns.set()
matplotlib.use('Agg')
import src.utils.utility as _util
import src.utils.cmd_line as _cmd
import src.data.msrvtt as _data
import src.model.models as _models
import src.train.train_test_utils as _train
... | src/scripts/eval.py | import os
import matplotlib
import seaborn as sns
import torch
from torch import nn
from tqdm import tqdm
sns.set()
matplotlib.use('Agg')
import src.utils.utility as _util
import src.utils.cmd_line as _cmd
import src.data.msrvtt as _data
import src.model.models as _models
import src.train.train_test_utils as _train
... | 0.499512 | 0.156201 |
import numpy
import os
import sys
import threading
import torch
import torch.nn as nn
from torch.autograd import gradcheck, Variable
def l1_loss(output, target):
loss = [ (t-o)*(t-o) for o, t in zip(output, target) ]
return torch.sum(torch.stack(loss))
def charbonnier_loss(output, target, epsilon = 10e-6):... | utils/loss_function.py | import numpy
import os
import sys
import threading
import torch
import torch.nn as nn
from torch.autograd import gradcheck, Variable
def l1_loss(output, target):
loss = [ (t-o)*(t-o) for o, t in zip(output, target) ]
return torch.sum(torch.stack(loss))
def charbonnier_loss(output, target, epsilon = 10e-6):... | 0.508056 | 0.675403 |
import hashlib
from datetime import datetime
from typing import Dict, List
from requests import Session
class WallabagAPI:
def __init__(self, host: str,
user_agent="RSS2Wallabag +https://github.com/Findus23/rss2wallabag",
requests_session: Session = None
) -> No... | api/api.py | import hashlib
from datetime import datetime
from typing import Dict, List
from requests import Session
class WallabagAPI:
def __init__(self, host: str,
user_agent="RSS2Wallabag +https://github.com/Findus23/rss2wallabag",
requests_session: Session = None
) -> No... | 0.46223 | 0.142739 |
import numpy as np
from Orange import data
def _get_variable(variable, dat, attr_name, expected_type=None, expected_name=""):
failed = False
if isinstance(variable, data.Variable):
datvar = getattr(dat, "variable", None)
if datvar is not None and datvar is not variable:
raise Valu... | orange3/Orange/statistics/contingency.py | import numpy as np
from Orange import data
def _get_variable(variable, dat, attr_name, expected_type=None, expected_name=""):
failed = False
if isinstance(variable, data.Variable):
datvar = getattr(dat, "variable", None)
if datvar is not None and datvar is not variable:
raise Valu... | 0.53437 | 0.333557 |
import grpc
from yandex.cloud.mdb.clickhouse.v1 import user_pb2 as yandex_dot_cloud_dot_mdb_dot_clickhouse_dot_v1_dot_user__pb2
from yandex.cloud.mdb.clickhouse.v1 import user_service_pb2 as yandex_dot_cloud_dot_mdb_dot_clickhouse_dot_v1_dot_user__service__pb2
from yandex.cloud.operation import operation_pb2 as yandex... | yandex/cloud/mdb/clickhouse/v1/user_service_pb2_grpc.py | import grpc
from yandex.cloud.mdb.clickhouse.v1 import user_pb2 as yandex_dot_cloud_dot_mdb_dot_clickhouse_dot_v1_dot_user__pb2
from yandex.cloud.mdb.clickhouse.v1 import user_service_pb2 as yandex_dot_cloud_dot_mdb_dot_clickhouse_dot_v1_dot_user__service__pb2
from yandex.cloud.operation import operation_pb2 as yandex... | 0.52683 | 0.059784 |
from test_case.page_obj import login_page,landlord_nav_page,landlord_offline_page
from models import function,myunit,mydef
from time import sleep
import unittest
class TestOffline(myunit.MyTest):
'''房源下线'''
def test_gopriceCal(self):
'''房源下线（去价格房态）——下线原因：我想休息，暂停出租'''
login_page.LoginPage(self.... | mayi/test_case/test_landlord_offline.py | from test_case.page_obj import login_page,landlord_nav_page,landlord_offline_page
from models import function,myunit,mydef
from time import sleep
import unittest
class TestOffline(myunit.MyTest):
'''房源下线'''
def test_gopriceCal(self):
'''房源下线（去价格房态）——下线原因：我想休息，暂停出租'''
login_page.LoginPage(self.... | 0.20347 | 0.246375 |
import glob
import os
import xml.etree.ElementTree as ET
import collections
from unicodedata import category, normalize
from tf.fabric import Fabric
from tf.timestamp import Timestamp
REPO = '~/github/pthu/pilot'
SRC_DIR = os.path.expanduser(f'{REPO}/sources/nt')
TF_DIR = f'{REPO}/tf'
TEI = 'http://www.tei-c.org/ns/... | programs/tfFromNt.py | import glob
import os
import xml.etree.ElementTree as ET
import collections
from unicodedata import category, normalize
from tf.fabric import Fabric
from tf.timestamp import Timestamp
REPO = '~/github/pthu/pilot'
SRC_DIR = os.path.expanduser(f'{REPO}/sources/nt')
TF_DIR = f'{REPO}/tf'
TEI = 'http://www.tei-c.org/ns/... | 0.193223 | 0.244081 |
from datetime import date, timedelta
from datetime import datetime
from db.jsondb import JSONDataBase
from db.db import CarType
import yaml
from typing import Any
from itertools import combinations
import numpy as np
import matplotlib.pyplot as plt
db = JSONDataBase('data')
def get_cost_date_plot():
with open('co... | processor/__main__.py | from datetime import date, timedelta
from datetime import datetime
from db.jsondb import JSONDataBase
from db.db import CarType
import yaml
from typing import Any
from itertools import combinations
import numpy as np
import matplotlib.pyplot as plt
db = JSONDataBase('data')
def get_cost_date_plot():
with open('co... | 0.537527 | 0.301272 |
from __future__ import print_function, division
from sympy.core import Set, Dict, Tuple
from sympy.liealgebras.cartan_type import Standard_Cartan, CartanType
from sympy.matrices import eye
class TypeA(Standard_Cartan):
"""
This class contains the information about
the A series of simple Lie algebras.
... | sympy/liealgebras/type_a.py | from __future__ import print_function, division
from sympy.core import Set, Dict, Tuple
from sympy.liealgebras.cartan_type import Standard_Cartan, CartanType
from sympy.matrices import eye
class TypeA(Standard_Cartan):
"""
This class contains the information about
the A series of simple Lie algebras.
... | 0.773345 | 0.594228 |
from django.db import models
from django.utils import timezone
from django.utils.translation import gettext_lazy as _
from macaddress.fields import MACAddressField
class Tag(models.Model):
name = models.SlugField(_('Name'))
def __str__(self) -> str:
return self.name
class Meta:
verbose_n... | oi_seattracker/models.py | from django.db import models
from django.utils import timezone
from django.utils.translation import gettext_lazy as _
from macaddress.fields import MACAddressField
class Tag(models.Model):
name = models.SlugField(_('Name'))
def __str__(self) -> str:
return self.name
class Meta:
verbose_n... | 0.710829 | 0.093802 |
__all__ = ['XLMRModel', 'XLMRForMLM', 'list_pretrained_xlmr', 'get_pretrained_xlmr']
from typing import Tuple
import os
from mxnet import use_np
from .roberta import RobertaModel, RobertaForMLM, roberta_base, roberta_large
from ..base import get_model_zoo_home_dir, get_repo_model_zoo_url, get_model_zoo_checksum_dir
fr... | src/gluonnlp/models/xlmr.py | __all__ = ['XLMRModel', 'XLMRForMLM', 'list_pretrained_xlmr', 'get_pretrained_xlmr']
from typing import Tuple
import os
from mxnet import use_np
from .roberta import RobertaModel, RobertaForMLM, roberta_base, roberta_large
from ..base import get_model_zoo_home_dir, get_repo_model_zoo_url, get_model_zoo_checksum_dir
fr... | 0.744006 | 0.152821 |
from __future__ import unicode_literals
import scrapy
import string
import re
class MaacClubSpider(scrapy.Spider):
name = "maac"
index = string.ascii_uppercase.index("M") + 1
base = "https://www.maac.ca/en/"
start_urls = ['https://www.maac.ca/en/clubs_by_zone.php?zone_code=%s' % x for x in string.ascii... | storeinfo/spiders/c7_maac.py | from __future__ import unicode_literals
import scrapy
import string
import re
class MaacClubSpider(scrapy.Spider):
name = "maac"
index = string.ascii_uppercase.index("M") + 1
base = "https://www.maac.ca/en/"
start_urls = ['https://www.maac.ca/en/clubs_by_zone.php?zone_code=%s' % x for x in string.ascii... | 0.302494 | 0.214794 |
import time
import numpy as np
import tensorflow as tf
import constants
from generate_features import getFeatures
from referee import getGameState
from utils import TerminalText as tt
def playRandomMove(game):
empty_cells = []
for i, cell in enumerate(game):
if cell == constants.EMPTY_CELL:
... | src/test_against_random_player.py | import time
import numpy as np
import tensorflow as tf
import constants
from generate_features import getFeatures
from referee import getGameState
from utils import TerminalText as tt
def playRandomMove(game):
empty_cells = []
for i, cell in enumerate(game):
if cell == constants.EMPTY_CELL:
... | 0.428114 | 0.220594 |
import unittest
import pinocchio as pin
import numpy as np
from pinocchio.utils import eye,zero,rand,skew
ones = lambda n: np.matrix(np.ones([n, 1] if isinstance(n, int) else n), np.double)
class TestSE3Bindings(unittest.TestCase):
def test_identity(self):
transform = pin.SE3.Identity()
self.asse... | unittest/python/bindings_SE3.py | import unittest
import pinocchio as pin
import numpy as np
from pinocchio.utils import eye,zero,rand,skew
ones = lambda n: np.matrix(np.ones([n, 1] if isinstance(n, int) else n), np.double)
class TestSE3Bindings(unittest.TestCase):
def test_identity(self):
transform = pin.SE3.Identity()
self.asse... | 0.650467 | 0.79649 |
from maskmypy import Donut, Street, Donut_MaxK, Donut_Multiply
import geopandas as gpd
points = gpd.read_file('test_data/test_points.shp')
populations = gpd.read_file('test_data/test_population.shp')
addresses = gpd.read_file('test_data/test_addresses.shp')
def basic_assertions(masking_class):
sensitive_length ... | tests/tests.py | from maskmypy import Donut, Street, Donut_MaxK, Donut_Multiply
import geopandas as gpd
points = gpd.read_file('test_data/test_points.shp')
populations = gpd.read_file('test_data/test_population.shp')
addresses = gpd.read_file('test_data/test_addresses.shp')
def basic_assertions(masking_class):
sensitive_length ... | 0.60743 | 0.655281 |
import logging
import click
from . import base_command
logger = logging.getLogger(__name__)
@base_command.command('cases', short_help="Display cases in database")
@click.option('-c' ,'--case-id',
help='Search for case'
)
@click.pass_context
def cases(ctx, case_id):
"""Display all cases in the da... | loqusdb/commands/view.py | import logging
import click
from . import base_command
logger = logging.getLogger(__name__)
@base_command.command('cases', short_help="Display cases in database")
@click.option('-c' ,'--case-id',
help='Search for case'
)
@click.pass_context
def cases(ctx, case_id):
"""Display all cases in the da... | 0.390941 | 0.072538 |
def edit_distance(word1,word2):
length1 = len(word1)
length2 = len(word2)
k = [0]
columns = []
for x in range(0,length1+2):
if (x == 0):
columns.append('0')
k.append('0')
elif (x < length1+1):
columns.append(str(x-1))
... | FuzzySearch/fuzzy.py | def edit_distance(word1,word2):
length1 = len(word1)
length2 = len(word2)
k = [0]
columns = []
for x in range(0,length1+2):
if (x == 0):
columns.append('0')
k.append('0')
elif (x < length1+1):
columns.append(str(x-1))
... | 0.094239 | 0.459501 |
try:
import tensorflow.compat.v1 as tf
except ImportError:
import tensorflow as tf
import numpy as np
import argparse
import os
from tqdm import tqdm
from time import time
from models.model_espcn import ESPCN
from models.model_srcnn import SRCNN
from models.model_vespcn import VESPCN
from models.model_vsrnet im... | evaluate.py | try:
import tensorflow.compat.v1 as tf
except ImportError:
import tensorflow as tf
import numpy as np
import argparse
import os
from tqdm import tqdm
from time import time
from models.model_espcn import ESPCN
from models.model_srcnn import SRCNN
from models.model_vespcn import VESPCN
from models.model_vsrnet im... | 0.561936 | 0.14072 |
import sys
import pickle
# needed to import FemPdeBase in subfiles
sys.path.append("../../testbed")
sys.path.append("../../testbed/pde0A/")
import FemPde0A as pde0A
sys.path.append("../../testbed/pde0B/")
import FemPde0B as pde0B
sys.path.append("../../testbed/pde1/")
import FemPde1 as pde1
sys.path.append("../../t... | code/experiments/_experiment_fem_base/experiment_fem_base.py | import sys
import pickle
# needed to import FemPdeBase in subfiles
sys.path.append("../../testbed")
sys.path.append("../../testbed/pde0A/")
import FemPde0A as pde0A
sys.path.append("../../testbed/pde0B/")
import FemPde0B as pde0B
sys.path.append("../../testbed/pde1/")
import FemPde1 as pde1
sys.path.append("../../t... | 0.054512 | 0.167185 |
import reversion
from performanceplatform.client import DataSet as client
from stagecraft.apps.datasets.models import DataGroup, DataSet, DataType
from django.conf import settings
INTERNAL_KEY = [
"_day_start_at",
"_hour_start_at",
"_week_start_at",
"_month_start_at",
"_quarter_start_at",
"_upd... | stagecraft/libs/mass_update/copy_dataset_with_new_mapping.py | import reversion
from performanceplatform.client import DataSet as client
from stagecraft.apps.datasets.models import DataGroup, DataSet, DataType
from django.conf import settings
INTERNAL_KEY = [
"_day_start_at",
"_hour_start_at",
"_week_start_at",
"_month_start_at",
"_quarter_start_at",
"_upd... | 0.369884 | 0.306527 |