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 atom.views import CreateMessageMixin, DeleteMessageMixin, UpdateMessageMixin
from braces.views import (
FormValidMessageMixin,
PrefetchRelatedMixin,
SelectRelatedMixin,
UserFormKwargsMixin,
)
from cached_property import cached_property
from dal import autocomplete
from django.urls import reverse_l... | feder/cases/views.py | from atom.views import CreateMessageMixin, DeleteMessageMixin, UpdateMessageMixin
from braces.views import (
FormValidMessageMixin,
PrefetchRelatedMixin,
SelectRelatedMixin,
UserFormKwargsMixin,
)
from cached_property import cached_property
from dal import autocomplete
from django.urls import reverse_l... | 0.667039 | 0.083367 |
import rospy
import cv2
import numpy as np
from cv_bridge import CvBridge, CvBridgeError
from sensor_msgs.msg import Image
class LineFollower(object):
def __init__(self):
self.bridge_object = CvBridge()
self.image_sub = rospy.Subscriber("/robot1/duckbot/camera2/image_raw",Image,self.camera_ca... | Projects/Duckietown/ws-template/catkin_ws/src/line_follower/scripts/line_follow_test.py | import rospy
import cv2
import numpy as np
from cv_bridge import CvBridge, CvBridgeError
from sensor_msgs.msg import Image
class LineFollower(object):
def __init__(self):
self.bridge_object = CvBridge()
self.image_sub = rospy.Subscriber("/robot1/duckbot/camera2/image_raw",Image,self.camera_ca... | 0.543348 | 0.317664 |
import json
import sys
import os
import random
import string
import docker
import traceback
from pathlib import Path
import logging
logger = logging.getLogger('DockerService')
logger.setLevel(logging.DEBUG)
from os.path import expanduser
# Small hack so we can use a dockerfile string instead of having to write it
#... | fair-cells/backend/container/docker_service.py | import json
import sys
import os
import random
import string
import docker
import traceback
from pathlib import Path
import logging
logger = logging.getLogger('DockerService')
logger.setLevel(logging.DEBUG)
from os.path import expanduser
# Small hack so we can use a dockerfile string instead of having to write it
#... | 0.200714 | 0.08043 |
from git import Repo
import re
from pathlib import Path
from unicodedata import name
REPO_ROOT = Path(__file__).parent.parent
COZETTE_SFD = REPO_ROOT / "Cozette" / "Cozette.sfd"
repo = Repo(REPO_ROOT)
last_ver = sorted(repo.tags, key=lambda tag: tag.commit.committed_date)[-1]
last_cozette_sfd: str = (
last_ver
... | cozette_builder/changeloggen.py | from git import Repo
import re
from pathlib import Path
from unicodedata import name
REPO_ROOT = Path(__file__).parent.parent
COZETTE_SFD = REPO_ROOT / "Cozette" / "Cozette.sfd"
repo = Repo(REPO_ROOT)
last_ver = sorted(repo.tags, key=lambda tag: tag.commit.committed_date)[-1]
last_cozette_sfd: str = (
last_ver
... | 0.31563 | 0.131982 |
from collections import OrderedDict
from google.appengine.ext import ndb
import datetime
import json
import logging
import unittest
import webapp2
import webtest
from api_handlers import api_routes
from gae_models import DatastoreModel
from unit_test_helper import ConsistencyTestCase, login_headers
from model import ... | unit_testing/test_graphql_project_cohort.py |
from collections import OrderedDict
from google.appengine.ext import ndb
import datetime
import json
import logging
import unittest
import webapp2
import webtest
from api_handlers import api_routes
from gae_models import DatastoreModel
from unit_test_helper import ConsistencyTestCase, login_headers
from model import ... | 0.551332 | 0.132852 |
from .models_base import *
from sqlalchemy.orm import relationship
# ORM classes
class data_stage02_isotopomer_analysis(Base):
__tablename__ = 'data_stage02_isotopomer_analysis'
id = Column(Integer, Sequence('data_stage02_isotopomer_analysis_id_seq'), primary_key=True)
analysis_id = Column(String(500))
... | sbaas/models/models_stage02_isotopomer.py | from .models_base import *
from sqlalchemy.orm import relationship
# ORM classes
class data_stage02_isotopomer_analysis(Base):
__tablename__ = 'data_stage02_isotopomer_analysis'
id = Column(Integer, Sequence('data_stage02_isotopomer_analysis_id_seq'), primary_key=True)
analysis_id = Column(String(500))
... | 0.728555 | 0.16248 |
import json
import sys
import os
from datetime import datetime, timedelta
from collections import defaultdict
from windowseventmonitor import monitor_thread
class Event_Monitor:
"""
Class is an application that monitors Windows Event Logs.
Parameter config_file (string): File containing n... | windowseventmonitor/event_monitor.py | import json
import sys
import os
from datetime import datetime, timedelta
from collections import defaultdict
from windowseventmonitor import monitor_thread
class Event_Monitor:
"""
Class is an application that monitors Windows Event Logs.
Parameter config_file (string): File containing n... | 0.241579 | 0.145237 |
# NOTE: This is the imports for the file,
# NOTE: there is a bunch of modules being imported,
# NOTE: that are made for this file.
# NOTE: The manifest module is used to make make the manifests
import modules.manifest as manifest_module
# NOTE: The splash module is a way to get the icon for the season
import modules.... | source/python-application/generation.py |
# NOTE: This is the imports for the file,
# NOTE: there is a bunch of modules being imported,
# NOTE: that are made for this file.
# NOTE: The manifest module is used to make make the manifests
import modules.manifest as manifest_module
# NOTE: The splash module is a way to get the icon for the season
import modules.... | 0.647575 | 0.238644 |
import asyncio
import concurrent.futures
import enum
import threading
import time
from typing import Any, Collection, Iterator, Optional, Set, Union
from kopf.utilities import aiotasks
Flag = Union[aiotasks.Future, asyncio.Event, concurrent.futures.Future, threading.Event]
async def wait_flag(
flag: Optiona... | kopf/structs/primitives.py | import asyncio
import concurrent.futures
import enum
import threading
import time
from typing import Any, Collection, Iterator, Optional, Set, Union
from kopf.utilities import aiotasks
Flag = Union[aiotasks.Future, asyncio.Event, concurrent.futures.Future, threading.Event]
async def wait_flag(
flag: Optiona... | 0.829492 | 0.280666 |
load(
"@bazel_tools//tools/cpp:cc_toolchain_config_lib.bzl",
"action_config",
"feature",
"flag_group",
"flag_set",
"tool",
"tool_path",
"with_feature_set",
)
load("@bazel_tools//tools/build_defs/cc:action_names.bzl", "ACTION_NAMES")
def _impl(ctx):
if (ctx.attr.cpu == "armeabi-v7a")... | src/test/shell/bazel/testdata/bazel_toolchain_test_data/tools/arm_compiler/cc_toolchain_config.bzl | load(
"@bazel_tools//tools/cpp:cc_toolchain_config_lib.bzl",
"action_config",
"feature",
"flag_group",
"flag_set",
"tool",
"tool_path",
"with_feature_set",
)
load("@bazel_tools//tools/build_defs/cc:action_names.bzl", "ACTION_NAMES")
def _impl(ctx):
if (ctx.attr.cpu == "armeabi-v7a")... | 0.180757 | 0.099121 |
from io import BytesIO
from time import sleep
from telegram import Bot, Update, TelegramError
from telegram.error import BadRequest
from telegram.ext import CommandHandler, MessageHandler, Filters, run_async
import tg_bot.modules.sql.users_sql as sql
from tg_bot import dispatcher, OWNER_ID, LOGGER, DEV_USERS
from tg... | tg_bot/modules/users.py | from io import BytesIO
from time import sleep
from telegram import Bot, Update, TelegramError
from telegram.error import BadRequest
from telegram.ext import CommandHandler, MessageHandler, Filters, run_async
import tg_bot.modules.sql.users_sql as sql
from tg_bot import dispatcher, OWNER_ID, LOGGER, DEV_USERS
from tg... | 0.361841 | 0.092565 |
import boto3
import pytest
from moto import mock_dynamodb2
from cloudlift.config import EnvironmentConfiguration
class TestEnvironmentConfiguration(object):
def setup_existing_params(self):
client = boto3.resource('dynamodb')
client.create_table(
TableName='environment_configurations'... | test/config/environment_configuration_test.py | import boto3
import pytest
from moto import mock_dynamodb2
from cloudlift.config import EnvironmentConfiguration
class TestEnvironmentConfiguration(object):
def setup_existing_params(self):
client = boto3.resource('dynamodb')
client.create_table(
TableName='environment_configurations'... | 0.453262 | 0.263019 |
from StringIO import StringIO
import json
import os
from django.core.urlresolvers import reverse
from django.test import TestCase
from corehq.apps.domain.shortcuts import create_domain
from corehq.apps.reports.models import FormExportSchema
from corehq.apps.users.models import CommCareUser
from couchexport.models impor... | corehq/apps/reports/tests/test_form_export.py | from StringIO import StringIO
import json
import os
from django.core.urlresolvers import reverse
from django.test import TestCase
from corehq.apps.domain.shortcuts import create_domain
from corehq.apps.reports.models import FormExportSchema
from corehq.apps.users.models import CommCareUser
from couchexport.models impor... | 0.365004 | 0.089574 |
import asyncio
import requests
import struct
import ujson
import websockets
from obespoir.share.encodeutil import AesEncoder
class RpcProtocol(object):
"""消息协议，包含消息处理"""
def __init__(self):
self.handfrt = "iii" # (int, int, int) -> (message_length, command_id, version)
self.head_len = stru... | echecs_espoir/test/test_frame.py | import asyncio
import requests
import struct
import ujson
import websockets
from obespoir.share.encodeutil import AesEncoder
class RpcProtocol(object):
"""消息协议，包含消息处理"""
def __init__(self):
self.handfrt = "iii" # (int, int, int) -> (message_length, command_id, version)
self.head_len = stru... | 0.218669 | 0.131814 |
# Copyright (c) 2020-2022 tecnovert
# Distributed under the MIT software license, see the accompanying
# file LICENSE or http://www.opensource.org/licenses/mit-license.php.
import hashlib
from enum import IntEnum
from .contrib.test_framework.messages import (
CTxOutPart,
)
from .contrib.test_framework.script imp... | basicswap/interface_part.py |
# Copyright (c) 2020-2022 tecnovert
# Distributed under the MIT software license, see the accompanying
# file LICENSE or http://www.opensource.org/licenses/mit-license.php.
import hashlib
from enum import IntEnum
from .contrib.test_framework.messages import (
CTxOutPart,
)
from .contrib.test_framework.script imp... | 0.550849 | 0.196094 |
from __future__ import division, print_function
__all__ = [
"Term", "TermSum", "TermProduct", "TermDiff",
"RealTerm", "ComplexTerm",
"SHOTerm", "Matern32Term",
]
import numpy as np
from itertools import chain
import theano
import theano.tensor as tt
from theano.ifelse import ifelse
class Term(object):... | theano_ops/celerite/terms.py |
from __future__ import division, print_function
__all__ = [
"Term", "TermSum", "TermProduct", "TermDiff",
"RealTerm", "ComplexTerm",
"SHOTerm", "Matern32Term",
]
import numpy as np
from itertools import chain
import theano
import theano.tensor as tt
from theano.ifelse import ifelse
class Term(object):... | 0.644225 | 0.238595 |
import unittest
from shexer.shaper import Shaper
from test.const import BASE_FILES, default_namespaces
from test.t_utils import file_vs_str_tunned_comparison
import os.path as pth
from shexer.consts import TURTLE
_BASE_DIR = BASE_FILES + "namespaces_to_ignore" + pth.sep
class TestNamespacesToIgnore(unittest.TestCase)... | test/test_namespaces_to_ignore.py | import unittest
from shexer.shaper import Shaper
from test.const import BASE_FILES, default_namespaces
from test.t_utils import file_vs_str_tunned_comparison
import os.path as pth
from shexer.consts import TURTLE
_BASE_DIR = BASE_FILES + "namespaces_to_ignore" + pth.sep
class TestNamespacesToIgnore(unittest.TestCase)... | 0.366476 | 0.275285 |
import requests, json
from urllib.parse import quote
from fuzzywuzzy import process, fuzz
from beers.models import Beer, ExternalAPI
from django.core.management.base import BaseCommand
class Command(BaseCommand):
# Matches beers from beername to untappd ID.
def handle(self, *args, **options):
untappd... | api/beers/management/commands/match_untpd_brute.py | import requests, json
from urllib.parse import quote
from fuzzywuzzy import process, fuzz
from beers.models import Beer, ExternalAPI
from django.core.management.base import BaseCommand
class Command(BaseCommand):
# Matches beers from beername to untappd ID.
def handle(self, *args, **options):
untappd... | 0.354545 | 0.126569 |
import socket
import time
import pygame
start = 1
def main():
global start
address = ('192.168.3.18', 5555)
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
pygame.init()
pygame.joystick.init()
W, H = 320, 240
screen = pygame.display.set_mode((W, H))
clock = pygame.time.Clock()
... | joystick.py | import socket
import time
import pygame
start = 1
def main():
global start
address = ('192.168.3.18', 5555)
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
pygame.init()
pygame.joystick.init()
W, H = 320, 240
screen = pygame.display.set_mode((W, H))
clock = pygame.time.Clock()
... | 0.053354 | 0.11187 |
import tensorflow as tf
from garage.tf.models.categorical_mlp_model import CategoricalMLPModel
from garage.tf.models.cnn_model import CNNModel
from garage.tf.models.model import Model
class CategoricalCNNModel(Model):
"""Categorical CNN Model.
A model represented by a Categorical distribution
... | src/garage/tf/models/categorical_cnn_model.py | import tensorflow as tf
from garage.tf.models.categorical_mlp_model import CategoricalMLPModel
from garage.tf.models.cnn_model import CNNModel
from garage.tf.models.model import Model
class CategoricalCNNModel(Model):
"""Categorical CNN Model.
A model represented by a Categorical distribution
... | 0.93559 | 0.814127 |
import random
import time
def A(x, y, z, d):
return (~x & y) | (~d & z)
def B(x, y, z, d):
return (x & ~y) | (d & ~z)
def C(x, y, z, d):
return (x | (~y)) ^ (d | (~z))
def D(x, y, z, d):
return ((~x) | y) ^ ((~d) | z)
def E(x, y, z, d):
return x ^ y ^ z ^ d
def shift(k, bits):
b... | final/170401053/final.py |
import random
import time
def A(x, y, z, d):
return (~x & y) | (~d & z)
def B(x, y, z, d):
return (x & ~y) | (d & ~z)
def C(x, y, z, d):
return (x | (~y)) ^ (d | (~z))
def D(x, y, z, d):
return ((~x) | y) ^ ((~d) | z)
def E(x, y, z, d):
return x ^ y ^ z ^ d
def shift(k, bits):
b... | 0.271541 | 0.338268 |
import dpkt
__author__ = "<NAME>"
class DPKTHelper(object):
"""
A Façade for DPKT module.
"""
def __init__(self):
self.ssl_port = 443
self.handshake_byte = 22
self.reader = None
def read_packet(self, packet):
"""
Reads a packet.
:param packet: Pack... | Source/Facade/DpktHelper.py | import dpkt
__author__ = "<NAME>"
class DPKTHelper(object):
"""
A Façade for DPKT module.
"""
def __init__(self):
self.ssl_port = 443
self.handshake_byte = 22
self.reader = None
def read_packet(self, packet):
"""
Reads a packet.
:param packet: Pack... | 0.503906 | 0.184951 |
from email.mime.multipart import MIMEMultipart
import smtplib
from email.mime.text import MIMEText
from django.db.backends.dummy.base import ignore
import traceback
class Email(object):
def __init__(self,smtp_server,mail_user,login_passwd):
self.mail_user = mail_user
try:
self.s = smt... | dark_emailSys/mailman.py | from email.mime.multipart import MIMEMultipart
import smtplib
from email.mime.text import MIMEText
from django.db.backends.dummy.base import ignore
import traceback
class Email(object):
def __init__(self,smtp_server,mail_user,login_passwd):
self.mail_user = mail_user
try:
self.s = smt... | 0.239616 | 0.052741 |
import datetime
import numbers
from contextlib import closing
from typing import Any, Iterable, Mapping, Optional, Sequence, Union
from airflow.operators.sql import BaseSQLOperator
from airflow.providers.google.suite.hooks.sheets import GSheetsHook
class SQLToGoogleSheetsOperator(BaseSQLOperator):
"""
Copy... | airflow/providers/google/suite/transfers/sql_to_sheets.py |
import datetime
import numbers
from contextlib import closing
from typing import Any, Iterable, Mapping, Optional, Sequence, Union
from airflow.operators.sql import BaseSQLOperator
from airflow.providers.google.suite.hooks.sheets import GSheetsHook
class SQLToGoogleSheetsOperator(BaseSQLOperator):
"""
Copy... | 0.885372 | 0.462776 |
from subprocess import check_output
import random
import numpy as np
import os
import re
import importlib
from itertools import chain, combinations
if importlib.util.find_spec('spot'):
import spot
else:
spot=None
class OmegaAutomaton:
"""Transforms the LTL formula to an omega-automaton (OA) and stores t... | csrl/oa.py | from subprocess import check_output
import random
import numpy as np
import os
import re
import importlib
from itertools import chain, combinations
if importlib.util.find_spec('spot'):
import spot
else:
spot=None
class OmegaAutomaton:
"""Transforms the LTL formula to an omega-automaton (OA) and stores t... | 0.702428 | 0.607547 |
from observ import reactive
from PySide6 import QtWidgets
import collagraph as cg
def test_widget_size():
renderer = cg.PySideRenderer(autoshow=False)
widget = renderer.create_element("widget")
renderer.set_attribute(widget, "size", (600, 400))
assert widget.size().width() == 600
assert widget.s... | tests/pyside/test_widget.py | from observ import reactive
from PySide6 import QtWidgets
import collagraph as cg
def test_widget_size():
renderer = cg.PySideRenderer(autoshow=False)
widget = renderer.create_element("widget")
renderer.set_attribute(widget, "size", (600, 400))
assert widget.size().width() == 600
assert widget.s... | 0.669205 | 0.37202 |
import logging
from copy import deepcopy
import numpy as np
import pandas as pd
import pymc as pm
from arviz.plots import plot_posterior
from formulae import design_matrices
from .backend import PyMCModel
from .defaults import get_default_prior, get_builtin_family
from .families import Family, univariate, multivar... | bambi/models.py | import logging
from copy import deepcopy
import numpy as np
import pandas as pd
import pymc as pm
from arviz.plots import plot_posterior
from formulae import design_matrices
from .backend import PyMCModel
from .defaults import get_default_prior, get_builtin_family
from .families import Family, univariate, multivar... | 0.874077 | 0.449574 |
import json
import numpy as np
import os
import pytest
from numpy_encoder import NumpyEncoder, ndarray_hook
test_vector = np.array([1.0, 2.0, 3.0])
test_mat = np.eye(3)
here = os.path.dirname(os.path.realpath(__file__))
def write_encoded(obj, tdir):
fp = tdir.mkdir("sub").join("obj.json")
fp.write(obj)
... | gamechangerml/src/utilities/numpy_encoder/tests/test_encoder.py | import json
import numpy as np
import os
import pytest
from numpy_encoder import NumpyEncoder, ndarray_hook
test_vector = np.array([1.0, 2.0, 3.0])
test_mat = np.eye(3)
here = os.path.dirname(os.path.realpath(__file__))
def write_encoded(obj, tdir):
fp = tdir.mkdir("sub").join("obj.json")
fp.write(obj)
... | 0.433502 | 0.347676 |
import io
import steganosaurus.constants as constants
from bitarray import bitarray
from PIL import Image
class PictureModifier:
'''
This class can modify each pixel of picture to hide data.
'''
def __init__(self, ste_lvl=constants.DEFAULT_STEGANOGRAPHY_LEVEL):
'''
Constructor:
... | steganosaurus/picture_modifier.py | import io
import steganosaurus.constants as constants
from bitarray import bitarray
from PIL import Image
class PictureModifier:
'''
This class can modify each pixel of picture to hide data.
'''
def __init__(self, ste_lvl=constants.DEFAULT_STEGANOGRAPHY_LEVEL):
'''
Constructor:
... | 0.589244 | 0.44897 |
import pytest
from teos.watcher import InvalidTransactionFormat
from test.teos.conftest import generate_blocks
from test.teos.unit.conftest import get_random_value_hex, fork
hex_tx = (
"0100000001c997a5e56e104102fa209c6a852dd90660a20b2d9c352423edce25857fcd3704000000004847304402"
"204e45e16932b8af514961a1d3a1a... | test/teos/unit/test_block_processor.py | import pytest
from teos.watcher import InvalidTransactionFormat
from test.teos.conftest import generate_blocks
from test.teos.unit.conftest import get_random_value_hex, fork
hex_tx = (
"0100000001c997a5e56e104102fa209c6a852dd90660a20b2d9c352423edce25857fcd3704000000004847304402"
"204e45e16932b8af514961a1d3a1a... | 0.680985 | 0.409634 |
import json
swagger_file = open("api_v3.json")
json_data = swagger_file.read()
swagger_file.close()
data = json.loads(json_data)
api_version = data["info"]["version"]
paths = data["paths"]
definitions = data["components"]["schemas"]
header = """@file:Suppress("unused", "SpellCheckingInspection", "KDocUnresolvedRefe... | tools/kbpy/scripts/swagger_paths_kt_2.py | import json
swagger_file = open("api_v3.json")
json_data = swagger_file.read()
swagger_file.close()
data = json.loads(json_data)
api_version = data["info"]["version"]
paths = data["paths"]
definitions = data["components"]["schemas"]
header = """@file:Suppress("unused", "SpellCheckingInspection", "KDocUnresolvedRefe... | 0.349422 | 0.161519 |
#Usage: python parsecmsearch.py <directory of cmsearchoutputs> <outfile.txt>
import sys
import os
import numpy as np
def parseCMsearch(cmsearchoutput):
#Parse output from cmsearch and return dictionary of hits and scores
hitdict = {} #{sequencehit : [rank, evalue, score]}
scorelines = []
querydict =... | parsecmsearch.py |
#Usage: python parsecmsearch.py <directory of cmsearchoutputs> <outfile.txt>
import sys
import os
import numpy as np
def parseCMsearch(cmsearchoutput):
#Parse output from cmsearch and return dictionary of hits and scores
hitdict = {} #{sequencehit : [rank, evalue, score]}
scorelines = []
querydict =... | 0.351979 | 0.369855 |
import time
import pickle
import sys
import time
def get_all_files(dir):
filelist = []
for root, dirs, files in os.walk(dir):
for file in files:
if "reject_trials" not in file and "noneeg" not in file:
filelist.append(os.path.join(root, file))
return filelist
prelim... | data_extraction/src/create_databases.py | import time
import pickle
import sys
import time
def get_all_files(dir):
filelist = []
for root, dirs, files in os.walk(dir):
for file in files:
if "reject_trials" not in file and "noneeg" not in file:
filelist.append(os.path.join(root, file))
return filelist
prelim... | 0.053527 | 0.126893 |
from abc import ABC, abstractmethod
from typing import Callable, List
class IStochasticFunction(ABC):
"""
Abstract class representing a stochastic function
"""
def __init__(self):
super().__init__()
"""
Draw a sample from the stochastic function.
:param x: point at which the... | utils/stats/StochasticFunction.py | from abc import ABC, abstractmethod
from typing import Callable, List
class IStochasticFunction(ABC):
"""
Abstract class representing a stochastic function
"""
def __init__(self):
super().__init__()
"""
Draw a sample from the stochastic function.
:param x: point at which the... | 0.957675 | 0.729544 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import os
from lib.layers import *
class SSD(nn.Module):
"""Single Shot Multibox Architecture
See: https://arxiv.org/pdf/1512.02325.pdf for more details.
Args:
phase: (string) Can be "eval" or ... | lib/modeling/ssds/ssd.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import os
from lib.layers import *
class SSD(nn.Module):
"""Single Shot Multibox Architecture
See: https://arxiv.org/pdf/1512.02325.pdf for more details.
Args:
phase: (string) Can be "eval" or ... | 0.899492 | 0.51013 |
import pytest
from bach.operations.concat import DataFrameConcatOperation, SeriesConcatOperation
from bach.expression import Expression
from tests.unit.bach.util import get_fake_df
@pytest.mark.db_independent
def test_concat_empty_objects() -> None:
with pytest.raises(ValueError, match=r'no objects to concat'):
... | bach/tests/unit/bach/test_concat.py | import pytest
from bach.operations.concat import DataFrameConcatOperation, SeriesConcatOperation
from bach.expression import Expression
from tests.unit.bach.util import get_fake_df
@pytest.mark.db_independent
def test_concat_empty_objects() -> None:
with pytest.raises(ValueError, match=r'no objects to concat'):
... | 0.649023 | 0.675831 |
from functools import update_wrapper
from django.conf.urls import url
from django.contrib.admin.sites import AdminSite
from peer.entity import views
from peer.entity.models import Entity
from peer.entity.feeds import EntitiesFeed, ChangesFeed
class PublicAdminSite(AdminSite):
def has_permission(self, request):... | peer/entity/adminsite.py | from functools import update_wrapper
from django.conf.urls import url
from django.contrib.admin.sites import AdminSite
from peer.entity import views
from peer.entity.models import Entity
from peer.entity.feeds import EntitiesFeed, ChangesFeed
class PublicAdminSite(AdminSite):
def has_permission(self, request):... | 0.444806 | 0.058051 |
import copy
import threading
from collections import OrderedDict
from contextlib import contextmanager
from magma.subscriberdb.sid import SIDUtils
from .onready import OnDataReady
from .base import BaseStore
from .base import DuplicateSubscriberError
class CachedStore(BaseStore):
"""
A thread-safe cached p... | lte/gateway/python/magma/subscriberdb/store/cached_store.py | import copy
import threading
from collections import OrderedDict
from contextlib import contextmanager
from magma.subscriberdb.sid import SIDUtils
from .onready import OnDataReady
from .base import BaseStore
from .base import DuplicateSubscriberError
class CachedStore(BaseStore):
"""
A thread-safe cached p... | 0.687 | 0.094552 |
import argparse
import csv
import time
import numpy as np
import tensorflow.keras.optimizers as tko
import tensorflow.keras.activations as tka
import tensorflow.keras.losses as tkl
from tensorflow.keras.layers import Input, Dense
from tensorflow.keras.models import Model
def build_model():
inputs = Input(shape=(1,... | parametric-curve-in-space-fitting/pmc3t_fit.py | import argparse
import csv
import time
import numpy as np
import tensorflow.keras.optimizers as tko
import tensorflow.keras.activations as tka
import tensorflow.keras.losses as tkl
from tensorflow.keras.layers import Input, Dense
from tensorflow.keras.models import Model
def build_model():
inputs = Input(shape=(1,... | 0.717111 | 0.218419 |
import os, signal, platform
from twisted.internet import reactor
from buildbot.scripts.logwatcher import LogWatcher, BuildmasterTimeoutError, \
ReconfigError
class Reconfigurator:
def run(self, config):
# Returns "Microsoft" for Vista and "Windows" for other versions
if platform.system() in... | third_party/buildbot_8_4p1/buildbot/scripts/reconfig.py |
import os, signal, platform
from twisted.internet import reactor
from buildbot.scripts.logwatcher import LogWatcher, BuildmasterTimeoutError, \
ReconfigError
class Reconfigurator:
def run(self, config):
# Returns "Microsoft" for Vista and "Windows" for other versions
if platform.system() in... | 0.4206 | 0.082846 |
from unittest.mock import patch
from rest_framework import status
from django.urls import reverse
from rest_framework.test import APITestCase
from .test_base import BaseTestCase
from .test_data import test_user_data, reset_data, login_data, password_reset_data, unmatched_password, wrong_reset_email
class TestPassword... | authors/apps/authentication/tests/test_password_reset.py | from unittest.mock import patch
from rest_framework import status
from django.urls import reverse
from rest_framework.test import APITestCase
from .test_base import BaseTestCase
from .test_data import test_user_data, reset_data, login_data, password_reset_data, unmatched_password, wrong_reset_email
class TestPassword... | 0.553747 | 0.247999 |
from __future__ import absolute_import
import struct
try:
from collections.abc import Sequence
except ImportError:
from collections import Sequence
import uproot4.model
import uproot4.deserialization
import uproot4.models.TObject
import uproot4.models.TBasket
_tobjarray_format1 = struct.Struct(">ii")
cl... | uproot4/models/TObjArray.py |
from __future__ import absolute_import
import struct
try:
from collections.abc import Sequence
except ImportError:
from collections import Sequence
import uproot4.model
import uproot4.deserialization
import uproot4.models.TObject
import uproot4.models.TBasket
_tobjarray_format1 = struct.Struct(">ii")
cl... | 0.646795 | 0.123418 |
import logging
from vitrage.common.constants import EntityCategory
from vitrage.evaluator.template_fields import TemplateFields
from vitrage.evaluator.template_validation.status_messages import status_msgs
from vitrage.tests import base
DEFINITIONS_INDEX_MOCK = {
'123': {},
'456': {},
'789': {},
'a1... | vitrage-4.3.1/vitrage/tests/unit/evaluator/template_validation/content/base.py |
import logging
from vitrage.common.constants import EntityCategory
from vitrage.evaluator.template_fields import TemplateFields
from vitrage.evaluator.template_validation.status_messages import status_msgs
from vitrage.tests import base
DEFINITIONS_INDEX_MOCK = {
'123': {},
'456': {},
'789': {},
'a1... | 0.668231 | 0.346735 |
from __future__ import unicode_literals
from pynodebb.http_client import HttpClient
from pynodebb.settings import settings
from pynodebb.api.users import User
from pynodebb.api.topics import Topic
from pynodebb.api.groups import Group
from pynodebb.api.posts import Post
from pynodebb.api.categories import Category
... | pynodebb/client.py | from __future__ import unicode_literals
from pynodebb.http_client import HttpClient
from pynodebb.settings import settings
from pynodebb.api.users import User
from pynodebb.api.topics import Topic
from pynodebb.api.groups import Group
from pynodebb.api.posts import Post
from pynodebb.api.categories import Category
... | 0.839997 | 0.184492 |
import sentry_sdk
from django.core.exceptions import ObjectDoesNotExist, PermissionDenied
from graphene_file_upload.django import FileUploadGraphQLView
from graphql_jwt.exceptions import PermissionDenied as JwtPermissionDenied
from palvelutarjotin.consts import (
ALREADY_JOINED_EVENT_ERROR,
API_USAGE_ERROR,
... | palvelutarjotin/views.py | import sentry_sdk
from django.core.exceptions import ObjectDoesNotExist, PermissionDenied
from graphene_file_upload.django import FileUploadGraphQLView
from graphql_jwt.exceptions import PermissionDenied as JwtPermissionDenied
from palvelutarjotin.consts import (
ALREADY_JOINED_EVENT_ERROR,
API_USAGE_ERROR,
... | 0.435421 | 0.066751 |
from OpenGL import platform, constant, arrays
from OpenGL import extensions, wrapper
import ctypes
from OpenGL.raw.GL import _types, _glgets
from OpenGL.raw.GL.VERSION.GL_1_3 import *
from OpenGL.raw.GL.VERSION.GL_1_3 import _EXTENSION_NAME
def glInitGl13VERSION():
'''Return boolean indicating whether this extensi... | deep-rl/lib/python2.7/site-packages/OpenGL/GL/VERSION/GL_1_3.py | from OpenGL import platform, constant, arrays
from OpenGL import extensions, wrapper
import ctypes
from OpenGL.raw.GL import _types, _glgets
from OpenGL.raw.GL.VERSION.GL_1_3 import *
from OpenGL.raw.GL.VERSION.GL_1_3 import _EXTENSION_NAME
def glInitGl13VERSION():
'''Return boolean indicating whether this extensi... | 0.568176 | 0.158663 |
import torch
from pykeops.torch import LazyTensor
from pykeops.torch.cluster import grid_cluster
def soft_distance(x, y, atomtype, smoothness=0.01):
"""
:param smoothness: float, the smoothing constant for the distance calculation.
:param x: torch.Tensor, the coordinates for the atoms.
:param y: torc... | modules/surface.py | import torch
from pykeops.torch import LazyTensor
from pykeops.torch.cluster import grid_cluster
def soft_distance(x, y, atomtype, smoothness=0.01):
"""
:param smoothness: float, the smoothing constant for the distance calculation.
:param x: torch.Tensor, the coordinates for the atoms.
:param y: torc... | 0.858496 | 0.922097 |
from argparse import Action
from argparse import ArgumentParser
from argparse import RawDescriptionHelpFormatter
import json
import logging
import sys
import etelemetry
from neurodocker import __version__
from neurodocker import utils
from neurodocker.generators import Dockerfile
from neurodocker.generators import Si... | neurodocker/neurodocker.py | from argparse import Action
from argparse import ArgumentParser
from argparse import RawDescriptionHelpFormatter
import json
import logging
import sys
import etelemetry
from neurodocker import __version__
from neurodocker import utils
from neurodocker.generators import Dockerfile
from neurodocker.generators import Si... | 0.568895 | 0.155142 |
import torch
from math import pow
class QuaternionOperations(object):
def __init__(self):
print("Quaternion Operations called.")
def quaternion_addition(self, q1, q2):
"""
Function for addition of two quaternions.
:param q1: first quaternion
:param q2: second quaternio... | code/quaternions/operations.py | import torch
from math import pow
class QuaternionOperations(object):
def __init__(self):
print("Quaternion Operations called.")
def quaternion_addition(self, q1, q2):
"""
Function for addition of two quaternions.
:param q1: first quaternion
:param q2: second quaternio... | 0.924396 | 0.67992 |
import logging
import pathlib
from ruamel import yaml
_LOG = logging.getLogger(__name__)
class RepoOwners:
"""
Abstracts the owners of a repository with per-path granularity.
"""
def __init__(self, git_cli, ref='master'):
self._git_cli = git_cli
self._ref = ref
self._owners_... | utils/repo_owners.py | import logging
import pathlib
from ruamel import yaml
_LOG = logging.getLogger(__name__)
class RepoOwners:
"""
Abstracts the owners of a repository with per-path granularity.
"""
def __init__(self, git_cli, ref='master'):
self._git_cli = git_cli
self._ref = ref
self._owners_... | 0.819171 | 0.265172 |
import platform
import sys
import unittest
from unittest import mock
import pkg_resources
from mopidy.internal import deps
from mopidy.internal.gi import Gst, gi
class DepsTest(unittest.TestCase):
def test_format_dependency_list(self):
adapters = [
lambda: dict(name="Python", version="FooPyt... | tests/internal/test_deps.py | import platform
import sys
import unittest
from unittest import mock
import pkg_resources
from mopidy.internal import deps
from mopidy.internal.gi import Gst, gi
class DepsTest(unittest.TestCase):
def test_format_dependency_list(self):
adapters = [
lambda: dict(name="Python", version="FooPyt... | 0.401453 | 0.554772 |
from typing import Optional
class TemplateDescriptorPart:
DEFAULTS = {
'html': {
'name': 'text',
'content-type': 'text/html',
},
'plain': {
'name': 'text',
'content-type': 'text/plain'
},
'': {
'name': '',
... | dsw_mailer/model.py | from typing import Optional
class TemplateDescriptorPart:
DEFAULTS = {
'html': {
'name': 'text',
'content-type': 'text/html',
},
'plain': {
'name': 'text',
'content-type': 'text/plain'
},
'': {
'name': '',
... | 0.81283 | 0.152158 |
import argparse
import re
from datetime import timedelta
from operator import itemgetter
from mtools.mplotqueries.plottypes.base_type import BasePlotType
try:
import matplotlib.pyplot as plt
from matplotlib import __version__ as mpl_version
from matplotlib.dates import date2num
from matplotlib.patche... | mtools/mplotqueries/plottypes/scatter_type.py | import argparse
import re
from datetime import timedelta
from operator import itemgetter
from mtools.mplotqueries.plottypes.base_type import BasePlotType
try:
import matplotlib.pyplot as plt
from matplotlib import __version__ as mpl_version
from matplotlib.dates import date2num
from matplotlib.patche... | 0.651466 | 0.306527 |
import json
from jsonpath_ng.ext import parse
from parameterized import parameterized
from underbudget.tests.base import BaseTestCase
class AccountsTestCase(BaseTestCase):
""" Integration tests for account APIs """
@parameterized.expand([("not-an-id",), (999,)])
def test_account_category_requires_valid_... | backend/underbudget/tests/test_accounts.py | import json
from jsonpath_ng.ext import parse
from parameterized import parameterized
from underbudget.tests.base import BaseTestCase
class AccountsTestCase(BaseTestCase):
""" Integration tests for account APIs """
@parameterized.expand([("not-an-id",), (999,)])
def test_account_category_requires_valid_... | 0.490724 | 0.195729 |
class TestNCharVar(BaseTestCase):
def setUp(self):
BaseTestCase.setUp(self)
self.rawData = []
self.dataByKey = {}
for i in range(1, 11):
unicodeCol = u"Unicode \u3042 %d" % i
fixedCharCol = (u"Fixed Unicode %d" % i).ljust(40)
if i % 2:
... | cx_Oracle-doc/test/NCharVar.py | class TestNCharVar(BaseTestCase):
def setUp(self):
BaseTestCase.setUp(self)
self.rawData = []
self.dataByKey = {}
for i in range(1, 11):
unicodeCol = u"Unicode \u3042 %d" % i
fixedCharCol = (u"Fixed Unicode %d" % i).ljust(40)
if i % 2:
... | 0.521471 | 0.362772 |
from flask import render_template, Blueprint, request, make_response, url_for, redirect, flash
from wtforms import ValidationError
from flask_login import current_user
from app.userstory.forms import UserstoryForm, UserstoryUpdateForm
from app import db
from app.models import Comment, Team, Userstory, Proj... | app/userstory/routes.py |
from flask import render_template, Blueprint, request, make_response, url_for, redirect, flash
from wtforms import ValidationError
from flask_login import current_user
from app.userstory.forms import UserstoryForm, UserstoryUpdateForm
from app import db
from app.models import Comment, Team, Userstory, Proj... | 0.282988 | 0.046292 |
import numpy as np
def spatial_kernel(X, Y, x, y, sigma_center, sigma_surround, inverse=1):
"""Creates a spatial kernel for the LGN cells' receptive field.
The kernel is defined as the difference of Gaussians.
Reference: Eq 2.45, Theoretical Neuroscience Dayan & Abbot (2011).
Args:
X (ndar... | v1_simple_cell/kernel.py |
import numpy as np
def spatial_kernel(X, Y, x, y, sigma_center, sigma_surround, inverse=1):
"""Creates a spatial kernel for the LGN cells' receptive field.
The kernel is defined as the difference of Gaussians.
Reference: Eq 2.45, Theoretical Neuroscience Dayan & Abbot (2011).
Args:
X (ndar... | 0.941432 | 0.894144 |
import datetime
import logging
import feedparser
import voluptuous as vol
from homeassistant.components.sensor import PLATFORM_SCHEMA
from homeassistant.const import (
ATTR_ATTRIBUTION,
ATTR_LATITUDE,
ATTR_LONGITUDE,
CONF_LATITUDE,
CONF_LONGITUDE,
CONF_NAME,
CONF_RADIUS,
CONF_SCAN_INTE... | custom_components/p2000/sensor.py | import datetime
import logging
import feedparser
import voluptuous as vol
from homeassistant.components.sensor import PLATFORM_SCHEMA
from homeassistant.const import (
ATTR_ATTRIBUTION,
ATTR_LATITUDE,
ATTR_LONGITUDE,
CONF_LATITUDE,
CONF_LONGITUDE,
CONF_NAME,
CONF_RADIUS,
CONF_SCAN_INTE... | 0.539226 | 0.118462 |
from typing import List, Optional
from krita import Node as KritaNode
from PyQt5.QtCore import QSize
from PyQt5.QtGui import QImage, QColor, QPainter
from .tile import MdpTile
from .kra import setQImageToKritaNode
def QColorFromArgbStr(c: str) -> QColor:
a, r, g, b = int(c[0:2], 16), int(c[2:4], 16), int(c[4:6... | mdp_import/mdp/utils.py | from typing import List, Optional
from krita import Node as KritaNode
from PyQt5.QtCore import QSize
from PyQt5.QtGui import QImage, QColor, QPainter
from .tile import MdpTile
from .kra import setQImageToKritaNode
def QColorFromArgbStr(c: str) -> QColor:
a, r, g, b = int(c[0:2], 16), int(c[2:4], 16), int(c[4:6... | 0.795817 | 0.569972 |
from pathlib import Path
USER_REPOS_PAGE1 = '''\
[
{
"archive_url": "https://api.github.com/repos/jwodder/advent350/{archive_format}{/ref}",
"assignees_url": "https://api.github.com/repos/jwodder/advent350/assignees{/user}",
"blobs_url": "https://api.github.com/repos/jwodder/advent350/git/b... | test/test_cli_request.py | from pathlib import Path
USER_REPOS_PAGE1 = '''\
[
{
"archive_url": "https://api.github.com/repos/jwodder/advent350/{archive_format}{/ref}",
"assignees_url": "https://api.github.com/repos/jwodder/advent350/assignees{/user}",
"blobs_url": "https://api.github.com/repos/jwodder/advent350/git/b... | 0.517815 | 0.354266 |
import logging
from pyhap.const import CATEGORY_ALARM_SYSTEM
from homeassistant.components.alarm_control_panel import DOMAIN
from homeassistant.components.alarm_control_panel.const import (
SUPPORT_ALARM_ARM_AWAY,
SUPPORT_ALARM_ARM_HOME,
SUPPORT_ALARM_ARM_NIGHT,
SUPPORT_ALARM_ARM_VACATION,
SUPPORT... | homeassistant/components/homekit/type_security_systems.py | import logging
from pyhap.const import CATEGORY_ALARM_SYSTEM
from homeassistant.components.alarm_control_panel import DOMAIN
from homeassistant.components.alarm_control_panel.const import (
SUPPORT_ALARM_ARM_AWAY,
SUPPORT_ALARM_ARM_HOME,
SUPPORT_ALARM_ARM_NIGHT,
SUPPORT_ALARM_ARM_VACATION,
SUPPORT... | 0.511961 | 0.082697 |
"""Test audit RBAC."""
import copy
from os.path import abspath
from os.path import dirname
from os.path import join
from collections import defaultdict
from appengine import base
from ggrc import app # noqa # pylint: disable=unused-import
from ggrc.models import all_models
from integration.ggrc import TestCase
fro... | test/integration/ggrc_basic_permissions/test_audit_rbac.py |
"""Test audit RBAC."""
import copy
from os.path import abspath
from os.path import dirname
from os.path import join
from collections import defaultdict
from appengine import base
from ggrc import app # noqa # pylint: disable=unused-import
from ggrc.models import all_models
from integration.ggrc import TestCase
fro... | 0.665084 | 0.22289 |
import logging
from abc import ABC, abstractmethod
from .coupler import NoCoupler, IdentityCoupler, coupler_map
from .coupler import AdditiveCoupler, SubtractiveCoupler, MultiplicativeCoupler
logger = logging.getLogger(__name__)
# =============================================================================
# =====... | optimizer_utils/datastructures/parameter.py | import logging
from abc import ABC, abstractmethod
from .coupler import NoCoupler, IdentityCoupler, coupler_map
from .coupler import AdditiveCoupler, SubtractiveCoupler, MultiplicativeCoupler
logger = logging.getLogger(__name__)
# =============================================================================
# =====... | 0.901127 | 0.214383 |
import pickle
from batchgenerators.utilities.file_and_folder_operations import subfiles
import os
import numpy as np
def create_splits(output_dir, image_dir):
npy_files = subfiles(image_dir, suffix=".npy", join=False)
trainset_size = len(npy_files)*50//100
valset_size = len(npy_files)*25//100
testse... | datasets/prepare_dataset/create_splits.py | import pickle
from batchgenerators.utilities.file_and_folder_operations import subfiles
import os
import numpy as np
def create_splits(output_dir, image_dir):
npy_files = subfiles(image_dir, suffix=".npy", join=False)
trainset_size = len(npy_files)*50//100
valset_size = len(npy_files)*25//100
testse... | 0.257952 | 0.226505 |
import numpy as np
def polyfitND(x, y, deg, eps, rcond=None, full=False, w=None, cov=False):
""" Return the polynomial fitting (and its derivative)
for a set of points x, y where y=p(x).
This is a wrapper of np.polyfit for more than one dimensions.
:params x: Points where polynomial is being computed. e.g.... | unittest/python/crocoddyl/locomotion/spline_utils.py | import numpy as np
def polyfitND(x, y, deg, eps, rcond=None, full=False, w=None, cov=False):
""" Return the polynomial fitting (and its derivative)
for a set of points x, y where y=p(x).
This is a wrapper of np.polyfit for more than one dimensions.
:params x: Points where polynomial is being computed. e.g.... | 0.860516 | 0.866246 |
import os, time, random
from io import BytesIO
from nose2.tools.decorators import with_setup, with_teardown
from smb.SMBConnection import SMBConnection
from smb import smb_structs
from .util import getConnectionInfo
conn = None
def setup_func_SMB1():
global conn
smb_structs.SUPPORT_SMB2 = False
info = g... | python3/tests/SMBConnectionTests/test_deletepattern.py |
import os, time, random
from io import BytesIO
from nose2.tools.decorators import with_setup, with_teardown
from smb.SMBConnection import SMBConnection
from smb import smb_structs
from .util import getConnectionInfo
conn = None
def setup_func_SMB1():
global conn
smb_structs.SUPPORT_SMB2 = False
info = g... | 0.285671 | 0.381969 |
"""Session related attribute container definitions."""
import collections
import time
import uuid
import plaso
from plaso.containers import interface
from plaso.containers import manager
class Session(interface.AttributeContainer):
"""Session attribute container.
Attributes:
aborted (bool): True if the ses... | plaso/containers/sessions.py | """Session related attribute container definitions."""
import collections
import time
import uuid
import plaso
from plaso.containers import interface
from plaso.containers import manager
class Session(interface.AttributeContainer):
"""Session attribute container.
Attributes:
aborted (bool): True if the ses... | 0.83762 | 0.187709 |
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
import dgad.grpc.classification_pb2 as classification__pb2
class ClassifierStub(object):
"""Missing associated documentation comment in .proto file."""
... | dgad/grpc/classification_pb2_grpc.py |
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
import dgad.grpc.classification_pb2 as classification__pb2
class ClassifierStub(object):
"""Missing associated documentation comment in .proto file."""
... | 0.790085 | 0.078642 |
import numpy as np
import aurora as au
import aurora.autodiff as ad
import timeit
import argparse
def measure_accuracy(activation, data, use_gpu=False):
X_val, y_val = data
executor = ad.Executor([activation], use_gpu=use_gpu)
prob_val, = executor.run(feed_shapes={X: X_val})
if use_gpu:
prob_v... | examples/mnist.py | import numpy as np
import aurora as au
import aurora.autodiff as ad
import timeit
import argparse
def measure_accuracy(activation, data, use_gpu=False):
X_val, y_val = data
executor = ad.Executor([activation], use_gpu=use_gpu)
prob_val, = executor.run(feed_shapes={X: X_val})
if use_gpu:
prob_v... | 0.635675 | 0.515193 |
from classes.Programm import *
from PyQt5 import QtCore, QtGui, QtWidgets
class MainForm(object):
@property
def programm(self):
return self.__programm
def __init__(self):
self.__programm = Programm()
self.__programm.file = None
def setupUi(self, Form):
... | python/classes/MainForm.py | from classes.Programm import *
from PyQt5 import QtCore, QtGui, QtWidgets
class MainForm(object):
@property
def programm(self):
return self.__programm
def __init__(self):
self.__programm = Programm()
self.__programm.file = None
def setupUi(self, Form):
... | 0.41052 | 0.053924 |
import os
import glob
import subprocess
import gc
import exkaldi
from exkaldi import args
def main():
# ------------- Parse arguments from command line ----------------------
# 1. Add a discription of this program
args.describe("This program is used to make dictionaries and language model")
# 2.... | examples/TIMIT/02_make_dict_and_LM.py | import os
import glob
import subprocess
import gc
import exkaldi
from exkaldi import args
def main():
# ------------- Parse arguments from command line ----------------------
# 1. Add a discription of this program
args.describe("This program is used to make dictionaries and language model")
# 2.... | 0.387574 | 0.167049 |
from modules.setup.app import app, session
from modules.setup.database import Category, Item, User
from functools import wraps
from flask import flash, redirect, url_for, request, session as login_session
import random
import string
import os
def category_exists(f):
"""
Decorator to see if category exists.
... | modules/helpers.py | from modules.setup.app import app, session
from modules.setup.database import Category, Item, User
from functools import wraps
from flask import flash, redirect, url_for, request, session as login_session
import random
import string
import os
def category_exists(f):
"""
Decorator to see if category exists.
... | 0.436862 | 0.115936 |
import random
import itertools
from collections import defaultdict
import pytest
from plenum.common.util import randomString
from sovtoken.exceptions import UTXOError, UTXONotFound
from sovtoken.types import Output
from sovtoken.utxo_cache import UTXOCache
from storage.test.conftest import parametrised_storage
# T... | sovtoken/sovtoken/test/test_utxo_cache.py | import random
import itertools
from collections import defaultdict
import pytest
from plenum.common.util import randomString
from sovtoken.exceptions import UTXOError, UTXONotFound
from sovtoken.types import Output
from sovtoken.utxo_cache import UTXOCache
from storage.test.conftest import parametrised_storage
# T... | 0.555435 | 0.322713 |
import abc
import six
@six.add_metaclass(abc.ABCMeta)
class BaseAuthPlugin(object):
@abc.abstractmethod
def get_token(self, transport, **kwargs):
"""Obtain a token.
How the token is obtained is up to the authenticator. If it is still
valid it may be re-used, retrieved from cache or ... | python/venv/lib/python2.7/site-packages/openstack/auth/base.py | import abc
import six
@six.add_metaclass(abc.ABCMeta)
class BaseAuthPlugin(object):
@abc.abstractmethod
def get_token(self, transport, **kwargs):
"""Obtain a token.
How the token is obtained is up to the authenticator. If it is still
valid it may be re-used, retrieved from cache or ... | 0.868534 | 0.292456 |
from direct.task.Task import Task
from pandac.PandaModules import VBase4, PandaNode
from toontown.margins.MarginVisible import MarginVisible
from toontown.nametag import NametagGlobals
from toontown.nametag.Nametag2d import Nametag2d
from toontown.nametag.Nametag3d import Nametag3d
class NametagGroup:
CHAT_TIMEO... | toontown/nametag/NametagGroup.py | from direct.task.Task import Task
from pandac.PandaModules import VBase4, PandaNode
from toontown.margins.MarginVisible import MarginVisible
from toontown.nametag import NametagGlobals
from toontown.nametag.Nametag2d import Nametag2d
from toontown.nametag.Nametag3d import Nametag3d
class NametagGroup:
CHAT_TIMEO... | 0.603815 | 0.081556 |
import json
import os
from datetime import datetime
from os.path import expanduser
create_folder = lambda pth: pth if os.path.exists(pth) else pth if os.makedirs(pth) is None else False
current_timestamp = lambda: datetime.now().strftime("%y%m%d_%H%M")
EXAMPLE_QUERY = {
"query": {"ID": 0, "Date": None, "Run_Date"... | nn_logger/data_logger.py | import json
import os
from datetime import datetime
from os.path import expanduser
create_folder = lambda pth: pth if os.path.exists(pth) else pth if os.makedirs(pth) is None else False
current_timestamp = lambda: datetime.now().strftime("%y%m%d_%H%M")
EXAMPLE_QUERY = {
"query": {"ID": 0, "Date": None, "Run_Date"... | 0.347537 | 0.2771 |
shortcuts = {
#https://support.google.com/docs/answer/181110
"Google Sheets" : {
"Select column" : "Ctrl + Space",
"Select row" : "Shift + Space",
"Select all" : "⌘ + a or ⌘ + Shift + Space",
"Undo" : "⌘ + z",
"Redo" : "⌘ + y or ⌘ + Shift + z or Fn + F4",
"Find" ... | cheatsheet/apps/googleSheets.py | shortcuts = {
#https://support.google.com/docs/answer/181110
"Google Sheets" : {
"Select column" : "Ctrl + Space",
"Select row" : "Shift + Space",
"Select all" : "⌘ + a or ⌘ + Shift + Space",
"Undo" : "⌘ + z",
"Redo" : "⌘ + y or ⌘ + Shift + z or Fn + F4",
"Find" ... | 0.583322 | 0.406744 |
import pytest
from homeassistant.components import frontend
from homeassistant.components.lovelace import const, dashboard
from homeassistant.setup import async_setup_component
from tests.async_mock import patch
from tests.common import assert_setup_component, async_capture_events
async def test_lovelace_from_stora... | tests/components/lovelace/test_dashboard.py | import pytest
from homeassistant.components import frontend
from homeassistant.components.lovelace import const, dashboard
from homeassistant.setup import async_setup_component
from tests.async_mock import patch
from tests.common import assert_setup_component, async_capture_events
async def test_lovelace_from_stora... | 0.641422 | 0.467636 |
import torch as th
from torch.utils.data import Dataset
import pandas as pd
import os
import numpy as np
import random
import ffmpeg
import time
import re
import pickle
class Youcook_DataLoader(Dataset):
"""Youcook Video-Text loader."""
def __init__(
self,
data,
video_root... | youcook_loader.py | import torch as th
from torch.utils.data import Dataset
import pandas as pd
import os
import numpy as np
import random
import ffmpeg
import time
import re
import pickle
class Youcook_DataLoader(Dataset):
"""Youcook Video-Text loader."""
def __init__(
self,
data,
video_root... | 0.636014 | 0.261225 |
import torch
import faiss
import numpy as np
import multiprocessing as mp
from torch.autograd import Variable
from metrics import precision_at_k, mean_average_precision, average_precision
from metrics import dcg_at_k, ndcg_at_k
from utils import AverageMeter, to_numpy
def L2norm(x):
return x / np.linalg.norm(x, a... | validate.py | import torch
import faiss
import numpy as np
import multiprocessing as mp
from torch.autograd import Variable
from metrics import precision_at_k, mean_average_precision, average_precision
from metrics import dcg_at_k, ndcg_at_k
from utils import AverageMeter, to_numpy
def L2norm(x):
return x / np.linalg.norm(x, a... | 0.682997 | 0.453201 |
import os
import time
from flask import Flask, render_template, make_response, flash, redirect, request, url_for, send_from_directory
from werkzeug.utils import secure_filename
from pathlib import Path
import ai
upP = "./templates/usr_data/"
pkl_file = "./pkl_file"
ALLOWED_EXTENSIONS = {"jpg"}
def allowed_file(filen... | server/src/app.py | import os
import time
from flask import Flask, render_template, make_response, flash, redirect, request, url_for, send_from_directory
from werkzeug.utils import secure_filename
from pathlib import Path
import ai
upP = "./templates/usr_data/"
pkl_file = "./pkl_file"
ALLOWED_EXTENSIONS = {"jpg"}
def allowed_file(filen... | 0.294418 | 0.044204 |
import pytest
import time
from distutils.version import LooseVersion
from f5.bigip.tm.analytics.protocol_inspection import Generate_Report
from f5.bigip.tm.analytics.protocol_inspection import Report_Results
@pytest.fixture(scope='function')
def generate_report(mgmt_root):
task = mgmt_root.tm.analytics.protocol... | f5/bigip/tm/analytics/test/functional/test_protocol_inspection.py |
import pytest
import time
from distutils.version import LooseVersion
from f5.bigip.tm.analytics.protocol_inspection import Generate_Report
from f5.bigip.tm.analytics.protocol_inspection import Report_Results
@pytest.fixture(scope='function')
def generate_report(mgmt_root):
task = mgmt_root.tm.analytics.protocol... | 0.397588 | 0.241489 |
import pytest
from ezdxf.tools import pattern
def test_load_iso_pattern():
p = pattern.load()
assert p['ANSI31'][0] == [45.0, (0.0, 0.0), (-2.2450640303, 2.2450640303),
[]]
def test_load_scaled_iso_pattern():
p = pattern.load(factor=2)
assert p['ANSI31'][0] == [45.0, (... | tests/test_05_tools/test_512_pattern.py | import pytest
from ezdxf.tools import pattern
def test_load_iso_pattern():
p = pattern.load()
assert p['ANSI31'][0] == [45.0, (0.0, 0.0), (-2.2450640303, 2.2450640303),
[]]
def test_load_scaled_iso_pattern():
p = pattern.load(factor=2)
assert p['ANSI31'][0] == [45.0, (... | 0.582729 | 0.501831 |
""" Base class for resources based on DB models. """
from __future__ import absolute_import, unicode_literals
# stdlib imports
from logging import getLogger
from typing import Text
# 3rd party imports
import jsonschema
from serafin import Fieldspec, serialize
# local imports
from .resource import RestResource
from .... | src/restible/model.py | """ Base class for resources based on DB models. """
from __future__ import absolute_import, unicode_literals
# stdlib imports
from logging import getLogger
from typing import Text
# 3rd party imports
import jsonschema
from serafin import Fieldspec, serialize
# local imports
from .resource import RestResource
from .... | 0.872334 | 0.290975 |
from contextlib import contextmanager
import difflib
import filecmp
import io
import json
import os
import re
import sys
from unittest.mock import Mock
@contextmanager
def capture():
with capture_std_streams(streams=['stdout']) as captured_streams:
yield captured_streams['stdout']
def capture_std_streams... | mc/utils/testing/__init__.py | from contextlib import contextmanager
import difflib
import filecmp
import io
import json
import os
import re
import sys
from unittest.mock import Mock
@contextmanager
def capture():
with capture_std_streams(streams=['stdout']) as captured_streams:
yield captured_streams['stdout']
def capture_std_streams... | 0.293202 | 0.176512 |
import time
import logging
import multiprocessing
import pickle as pkl
import os
from sklearn.metrics import roc_auc_score
from sklearn.model_selection import train_test_split
from sklearn.model_selection import StratifiedKFold
from alphaml.engine.components.models.classification import _classifiers
from alphaml.engin... | alphaml/engine/evaluator/hyperopt_evaluator.py | import time
import logging
import multiprocessing
import pickle as pkl
import os
from sklearn.metrics import roc_auc_score
from sklearn.model_selection import train_test_split
from sklearn.model_selection import StratifiedKFold
from alphaml.engine.components.models.classification import _classifiers
from alphaml.engin... | 0.581065 | 0.185947 |
from django.http import Http404
from django.views.generic.base import TemplateView, RedirectView
from django.views.generic.edit import FormView, FormMixin
from django.contrib.messages.views import SuccessMessageMixin
from django.utils import timezone
from django.contrib.flatpages.models import FlatPage
import logging
... | blog_django/views.py | from django.http import Http404
from django.views.generic.base import TemplateView, RedirectView
from django.views.generic.edit import FormView, FormMixin
from django.contrib.messages.views import SuccessMessageMixin
from django.utils import timezone
from django.contrib.flatpages.models import FlatPage
import logging
... | 0.32896 | 0.038683 |
import cjm
import os.path as osp
import logging, os, configparser, sys
logger = logging.getLogger('cjm')
class ConfigCollection(object):
"""
Reads a config file with all the different configuration options
"""
def __init__(self, config_file):
"""
Constructor method
"""
s... | cjm/config.py | import cjm
import os.path as osp
import logging, os, configparser, sys
logger = logging.getLogger('cjm')
class ConfigCollection(object):
"""
Reads a config file with all the different configuration options
"""
def __init__(self, config_file):
"""
Constructor method
"""
s... | 0.298287 | 0.09899 |
import time
import logging
import concurrent.futures
from spaceone.core.service import *
from spaceone.inventory.manager.collector_manager import CollectorManager
_LOGGER = logging.getLogger(__name__)
FILTER_FORMAT = [
{
'key': 'project_id',
'name': 'Project ID',
'type': 'str',
'r... | src/spaceone/inventory/service/collector_service.py | import time
import logging
import concurrent.futures
from spaceone.core.service import *
from spaceone.inventory.manager.collector_manager import CollectorManager
_LOGGER = logging.getLogger(__name__)
FILTER_FORMAT = [
{
'key': 'project_id',
'name': 'Project ID',
'type': 'str',
'r... | 0.472683 | 0.084493 |
import pandas as pd
import os
from clarifai.rest import ClarifaiApp
from clarifai.rest import Image as ClImage
import time
import logging
import warnings
from logging.handlers import RotatingFileHandler
logger_file_handler = RotatingFileHandler(u'working_data/logs/clarifai_custom_model.log')
logger_file_handler.set... | train_models/helpers/custommodels/clarifai_trainer.py | import pandas as pd
import os
from clarifai.rest import ClarifaiApp
from clarifai.rest import Image as ClImage
import time
import logging
import warnings
from logging.handlers import RotatingFileHandler
logger_file_handler = RotatingFileHandler(u'working_data/logs/clarifai_custom_model.log')
logger_file_handler.set... | 0.229881 | 0.115461 |
import text_colors
def starting_server():
print(text_colors.CGREENBG + text_colors.CBOLD + "[STARTING]"+ text_colors.CEND + text_colors.CGREEN +" server is starting." + text_colors.CEND)
def listening(SERVER, PORT):
print(text_colors.CBLUEBG2 + text_colors.CBOLD + "[LISTENING]" + text_colors.CEND + text_col... | messages.py | import text_colors
def starting_server():
print(text_colors.CGREENBG + text_colors.CBOLD + "[STARTING]"+ text_colors.CEND + text_colors.CGREEN +" server is starting." + text_colors.CEND)
def listening(SERVER, PORT):
print(text_colors.CBLUEBG2 + text_colors.CBOLD + "[LISTENING]" + text_colors.CEND + text_col... | 0.153296 | 0.040961 |
import mock
from rally import exceptions
from rally.plugins.common import types
from tests.unit import test
class PathOrUrlTestCase(test.TestCase):
@mock.patch("os.path.isfile")
@mock.patch("requests.head")
def test_preprocess_file(self, mock_requests_head, mock_isfile):
mock_isfile.return_valu... | tests/unit/plugins/common/test_types.py |
import mock
from rally import exceptions
from rally.plugins.common import types
from tests.unit import test
class PathOrUrlTestCase(test.TestCase):
@mock.patch("os.path.isfile")
@mock.patch("requests.head")
def test_preprocess_file(self, mock_requests_head, mock_isfile):
mock_isfile.return_valu... | 0.624294 | 0.257899 |
import os, sys, time
import numpy as np
import dolfin as df
from GalerkinSolverComplex import *
from PML import *
#=======================================================================================
class HelmholtzSolver(GalerkinSolverComplex):
#--------------------------------------------------------------... | HelmholtzSolver.py |
import os, sys, time
import numpy as np
import dolfin as df
from GalerkinSolverComplex import *
from PML import *
#=======================================================================================
class HelmholtzSolver(GalerkinSolverComplex):
#--------------------------------------------------------------... | 0.412057 | 0.218232 |
from __future__ import absolute_import # NOTE(kgriffs): Work around a Cython bug
from typing import Union
from falcon import errors
from falcon.media.base import BaseHandler, BinaryBaseHandlerWS
class MessagePackHandler(BaseHandler):
"""Handler built using the :py:mod:`msgpack` module.
This handler uses `... | falcon/media/msgpack.py | from __future__ import absolute_import # NOTE(kgriffs): Work around a Cython bug
from typing import Union
from falcon import errors
from falcon.media.base import BaseHandler, BinaryBaseHandlerWS
class MessagePackHandler(BaseHandler):
"""Handler built using the :py:mod:`msgpack` module.
This handler uses `... | 0.907457 | 0.168515 |
import re
from quodlibet import config
from quodlibet import util
from quodlibet.parse import XMLFromMarkupPattern as XMLFromPattern
from quodlibet.parse import pattern_from_markup
class PaneConfig(object):
"""Row pattern format: 'categorize_pattern:display_pattern'
* display_pattern is optional (fallback... | stdlib2-src/dist-packages/quodlibet/browsers/paned/util.py |
import re
from quodlibet import config
from quodlibet import util
from quodlibet.parse import XMLFromMarkupPattern as XMLFromPattern
from quodlibet.parse import pattern_from_markup
class PaneConfig(object):
"""Row pattern format: 'categorize_pattern:display_pattern'
* display_pattern is optional (fallback... | 0.321886 | 0.143368 |
from keystoneauth1 import exceptions
from asclient.common import exceptions as execs
from asclient.common import manager
from asclient.common import utils
from asclient.common.i18n import _
from asclient.v1 import resource
class GroupManager(manager.Manager):
"""Auto Scaling Group Manager"""
resource_class ... | asclient/v1/group_mgr.py | from keystoneauth1 import exceptions
from asclient.common import exceptions as execs
from asclient.common import manager
from asclient.common import utils
from asclient.common.i18n import _
from asclient.v1 import resource
class GroupManager(manager.Manager):
"""Auto Scaling Group Manager"""
resource_class ... | 0.701202 | 0.130979 |
import io
import os
import random
from typing import List, Optional, Text, Tuple
import numpy as np
import pytorch_lightning as pl
import torch
from torch.nn.utils.rnn import pad_sequence
from torch.utils.data import DataLoader, Dataset, random_split
from varclr.data.preprocessor import Preprocessor
from varclr.data.... | varclr/data/dataset.py | import io
import os
import random
from typing import List, Optional, Text, Tuple
import numpy as np
import pytorch_lightning as pl
import torch
from torch.nn.utils.rnn import pad_sequence
from torch.utils.data import DataLoader, Dataset, random_split
from varclr.data.preprocessor import Preprocessor
from varclr.data.... | 0.716814 | 0.373076 |
import os
import tensorflow as tf
import operator
from pathlib import Path
from transformers import AutoTokenizer, TFAutoModelForSequenceClassification, AutoConfig
from .config import model_params, model_location
from .get_weights import Download
from .label_mapping import LabelMapping
from . import __version__
cl... | dialog_tag/DialogTag.py | import os
import tensorflow as tf
import operator
from pathlib import Path
from transformers import AutoTokenizer, TFAutoModelForSequenceClassification, AutoConfig
from .config import model_params, model_location
from .get_weights import Download
from .label_mapping import LabelMapping
from . import __version__
cl... | 0.36693 | 0.11129 |
import logging
import os
from pathlib import Path
import pytest
from jinja2 import UndefinedError
from astrality.compiler import (
compile_template,
compile_template_to_string,
jinja_environment,
)
from astrality.context import Context
@pytest.fixture
def test_templates_folder():
return Path(__file... | astrality/tests/test_compiler.py |
import logging
import os
from pathlib import Path
import pytest
from jinja2 import UndefinedError
from astrality.compiler import (
compile_template,
compile_template_to_string,
jinja_environment,
)
from astrality.context import Context
@pytest.fixture
def test_templates_folder():
return Path(__file... | 0.386532 | 0.516169 |
import os
import sys
import random
import logging
import argparse
import gensim
logger = logging.getLogger(__name__)
def word2vec2tensor(word2vec_model_path,tensor_filename, binary=False):
'''
Convert Word2Vec mode to 2D tensor TSV file and metadata file
Args:
param1 (str): word2vec model file pa... | lib/python2.7/site-packages/gensim/scripts/word2vec2tensor.py | import os
import sys
import random
import logging
import argparse
import gensim
logger = logging.getLogger(__name__)
def word2vec2tensor(word2vec_model_path,tensor_filename, binary=False):
'''
Convert Word2Vec mode to 2D tensor TSV file and metadata file
Args:
param1 (str): word2vec model file pa... | 0.265976 | 0.146057 |