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 |
|---|---|---|---|---|
import string
try:
from unittest import TestCase, skipIf
except ImportError:
from unittest2 import TestCase, skipIf
from django import VERSION
from django import forms
from django.forms import Form, CharField, TextInput
from django.template import Template, Context
try:
from django.forms import SelectDat... | env/lib/python3.5/site-packages/widget_tweaks/tests.py | import string
try:
from unittest import TestCase, skipIf
except ImportError:
from unittest2 import TestCase, skipIf
from django import VERSION
from django import forms
from django.forms import Form, CharField, TextInput
from django.template import Template, Context
try:
from django.forms import SelectDat... | 0.668556 | 0.444083 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from .. import _utilities, _tables
__all__ = [
'ContainerCloneArgs',
'ContainerConsoleArgs',
'ContainerCpuArgs',
'ContainerDiskArgs',
'ContainerInitializationArgs',
'ContainerInitiali... | sdk/python/pulumi_proxmox/ct/_inputs.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from .. import _utilities, _tables
__all__ = [
'ContainerCloneArgs',
'ContainerConsoleArgs',
'ContainerCpuArgs',
'ContainerDiskArgs',
'ContainerInitializationArgs',
'ContainerInitiali... | 0.787972 | 0.066025 |
from __future__ import absolute_import
import random
import string
from builtins import object
from builtins import range
from babel.numbers import get_currency_name
from django.core.cache import cache
from django.db import connection
from django.db import models
from django.db.models import Count
from django.db.mode... | bluebottle/funding/models.py | from __future__ import absolute_import
import random
import string
from builtins import object
from builtins import range
from babel.numbers import get_currency_name
from django.core.cache import cache
from django.db import connection
from django.db import models
from django.db.models import Count
from django.db.mode... | 0.681939 | 0.082623 |
from __future__ import unicode_literals
from xml.etree import ElementTree
from helpers import snake_case_to_pascal_case
from logging_io import setup_logger
log = setup_logger(__name__)
def modify_sddraft(sddraft, service_properties=None):
if not service_properties:
log.debug('No service properties spec... | ags_service_publisher/sddraft_io.py | from __future__ import unicode_literals
from xml.etree import ElementTree
from helpers import snake_case_to_pascal_case
from logging_io import setup_logger
log = setup_logger(__name__)
def modify_sddraft(sddraft, service_properties=None):
if not service_properties:
log.debug('No service properties spec... | 0.492432 | 0.089973 |
from flask import Flask, render_template, request
import plotly
import plotly.graph_objs as go
import plotly.express as px
import json
import io
import base64
import sys
import os
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
# sys.path.append('/Desktop/myproject')
from ma... | app.py | from flask import Flask, render_template, request
import plotly
import plotly.graph_objs as go
import plotly.express as px
import json
import io
import base64
import sys
import os
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
# sys.path.append('/Desktop/myproject')
from ma... | 0.393152 | 0.247646 |
import unittest
from ankify_roam import anki, roam, default_models
from ankify_roam.ankifiers import RoamGraphAnkifier
from ankify_roam.default_models import ROAM_BASIC, ROAM_CLOZE, add_default_models
import subprocess
import os
import psutil
import json
import logging
class AnkiAppTest:
@staticmethod
def get... | tests/integration/test_anki.py | import unittest
from ankify_roam import anki, roam, default_models
from ankify_roam.ankifiers import RoamGraphAnkifier
from ankify_roam.default_models import ROAM_BASIC, ROAM_CLOZE, add_default_models
import subprocess
import os
import psutil
import json
import logging
class AnkiAppTest:
@staticmethod
def get... | 0.521227 | 0.359364 |
import datetime
import inspect
import logging
import os
from enum import Enum, IntEnum
from functools import wraps
from typing import Optional, Union, List, Iterable
import pandas as pd
from gs_quant.api.gs.data import QueryType
from gs_quant.data import DataContext
from gs_quant.datetime.relative_date import Relativ... | gs_quant/timeseries/helper.py | import datetime
import inspect
import logging
import os
from enum import Enum, IntEnum
from functools import wraps
from typing import Optional, Union, List, Iterable
import pandas as pd
from gs_quant.api.gs.data import QueryType
from gs_quant.data import DataContext
from gs_quant.datetime.relative_date import Relativ... | 0.875335 | 0.375048 |
from pettingzoo import AECEnv
from pettingzoo.utils.agent_selector import agent_selector
from gym import spaces
import rlcard
import random
import numpy as np
from pettingzoo.utils import wrappers
def env(**kwargs):
env = raw_env(**kwargs)
env = wrappers.CaptureStdoutWrapper(env)
env = wrappers.TerminateI... | pettingzoo/tom/liars_dice_v0.py | from pettingzoo import AECEnv
from pettingzoo.utils.agent_selector import agent_selector
from gym import spaces
import rlcard
import random
import numpy as np
from pettingzoo.utils import wrappers
def env(**kwargs):
env = raw_env(**kwargs)
env = wrappers.CaptureStdoutWrapper(env)
env = wrappers.TerminateI... | 0.619701 | 0.25896 |
# -----------------------------------------------------------------------------
# Stroke
# -----------------------------------------------------------------------------
"""Compute antialiased fragment color for a stroke line.
Inputs
------
distance (float): Signed distance to border (in pixels).
Template variables... | vispy/visuals/glsl/antialiasing.py | # -----------------------------------------------------------------------------
# Stroke
# -----------------------------------------------------------------------------
"""Compute antialiased fragment color for a stroke line.
Inputs
------
distance (float): Signed distance to border (in pixels).
Template variables... | 0.867457 | 0.452899 |
import re
import time
import urlparse
import logging
from paython.exceptions import DataValidationError, MissingDataError
from paython.lib.api import XMLGateway
logger = logging.getLogger(__name__)
class FirstDataLegacy(XMLGateway):
"""First data legacy support"""
# This is how we determine whether or not w... | paython/gateways/firstdata_legacy.py | import re
import time
import urlparse
import logging
from paython.exceptions import DataValidationError, MissingDataError
from paython.lib.api import XMLGateway
logger = logging.getLogger(__name__)
class FirstDataLegacy(XMLGateway):
"""First data legacy support"""
# This is how we determine whether or not w... | 0.489992 | 0.245096 |
from planteye_vision.configuration.configuration import ComponentConfiguration
class InletConfiguration(ComponentConfiguration):
def __init__(self):
super().__init__()
def read(self, cfg_dict: dict):
super().read(cfg_dict)
class CameraConfiguration(InletConfiguration):
def __init__(self... | src/planteye_vision/configuration/inlet_configuration.py | from planteye_vision.configuration.configuration import ComponentConfiguration
class InletConfiguration(ComponentConfiguration):
def __init__(self):
super().__init__()
def read(self, cfg_dict: dict):
super().read(cfg_dict)
class CameraConfiguration(InletConfiguration):
def __init__(self... | 0.469763 | 0.12297 |
import sklearn.model_selection
import sklearn.datasets
import sklearn.metrics
from smac.epm.uncorrelated_mo_rf_with_instances import \
UncorrelatedMultiObjectiveRandomForestWithInstances
from smac.utils.util_funcs import get_types
from smac.facade.smac_facade import SMAC
from smac.optimizer.acquisition import EIPS... | examples/example_eips.py | import sklearn.model_selection
import sklearn.datasets
import sklearn.metrics
from smac.epm.uncorrelated_mo_rf_with_instances import \
UncorrelatedMultiObjectiveRandomForestWithInstances
from smac.utils.util_funcs import get_types
from smac.facade.smac_facade import SMAC
from smac.optimizer.acquisition import EIPS... | 0.444083 | 0.260051 |
<widgetXML>
<name>View Data Table</name>
<icon>datatable.png</icon>
<tags>
<tag>View Data</tag>
</tags>
<summary>Shows data in a spreadsheet.</summary>
<author>
<authorname>Red-R Core Development Team</authorname>
<authorcontact>www.red-r.org</authorcontact... | libraries/base/widgets/RDataTable.py | <widgetXML>
<name>View Data Table</name>
<icon>datatable.png</icon>
<tags>
<tag>View Data</tag>
</tags>
<summary>Shows data in a spreadsheet.</summary>
<author>
<authorname>Red-R Core Development Team</authorname>
<authorcontact>www.red-r.org</authorcontact... | 0.507324 | 0.204739 |
from rtamt.spec.ltl.discrete_time.visitor import LTLVisitor
from rtamt.node.ltl.predicate import Predicate
from rtamt.node.ltl.variable import Variable
from rtamt.node.ltl.neg import Neg
from rtamt.node.ltl.conjunction import Conjunction
from rtamt.node.ltl.disjunction import Disjunction
from rtamt.node.ltl.implies im... | rtamt/spec/ltl/discrete_time/pastifier.py | from rtamt.spec.ltl.discrete_time.visitor import LTLVisitor
from rtamt.node.ltl.predicate import Predicate
from rtamt.node.ltl.variable import Variable
from rtamt.node.ltl.neg import Neg
from rtamt.node.ltl.conjunction import Conjunction
from rtamt.node.ltl.disjunction import Disjunction
from rtamt.node.ltl.implies im... | 0.685213 | 0.573798 |
import os
import repository.DBRepository as DBRepository
class DBController:
def __init__(self):
self.repository = DBRepository.DBRepository()
self.dbVendors = ["POSTGRESQL"]
def addDB(self):
url = raw_input("URL: ")
port = raw_input("PORT: ")
dbname = raw_input("DBNAME... | controllers/DBController.py | import os
import repository.DBRepository as DBRepository
class DBController:
def __init__(self):
self.repository = DBRepository.DBRepository()
self.dbVendors = ["POSTGRESQL"]
def addDB(self):
url = raw_input("URL: ")
port = raw_input("PORT: ")
dbname = raw_input("DBNAME... | 0.153137 | 0.050191 |
import six
import validators
from girder import events, logprint, logger
from girder.api import access
from girder.api.describe import Description, describeRoute, autoDescribeRoute
from girder.api.rest import \
boundHandler, loadmodel, RestException
from girder.constants import AccessType, TokenScope, CoreEventHa... | server/__init__.py |
import six
import validators
from girder import events, logprint, logger
from girder.api import access
from girder.api.describe import Description, describeRoute, autoDescribeRoute
from girder.api.rest import \
boundHandler, loadmodel, RestException
from girder.constants import AccessType, TokenScope, CoreEventHa... | 0.49585 | 0.06666 |
import os
from copy import copy, deepcopy
import dateutil.parser
import pystac
from pystac import (STACError, STACObjectType)
from pystac.link import Link, LinkType
from pystac.stac_object import STACObject
from pystac.utils import (is_absolute_href, make_absolute_href, make_relative_href, datetime_to_str,
... | pystac/item.py | import os
from copy import copy, deepcopy
import dateutil.parser
import pystac
from pystac import (STACError, STACObjectType)
from pystac.link import Link, LinkType
from pystac.stac_object import STACObject
from pystac.utils import (is_absolute_href, make_absolute_href, make_relative_href, datetime_to_str,
... | 0.781372 | 0.376509 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import functools
import logging
import os
import ruamel.yaml as yaml
import tensorflow as tf
from planet import control
from planet import tools
from planet.training import trainer as trai... | planet/training/utility.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import functools
import logging
import os
import ruamel.yaml as yaml
import tensorflow as tf
from planet import control
from planet import tools
from planet.training import trainer as trai... | 0.856317 | 0.300309 |
from __future__ import annotations
import typing
from collections import abc
from .functional_group_factory import FunctionalGroupFactory
from .utilities import get_atom_ids
from ..functional_groups import CarboxylicAcid
from ...molecule import Molecule
from ...elements import C, O, H
__all__ = (
'CarboxylicAci... | src/stk/molecular/functional_groups/factories/carboxylic_acid_factory.py | from __future__ import annotations
import typing
from collections import abc
from .functional_group_factory import FunctionalGroupFactory
from .utilities import get_atom_ids
from ..functional_groups import CarboxylicAcid
from ...molecule import Molecule
from ...elements import C, O, H
__all__ = (
'CarboxylicAci... | 0.913691 | 0.447883 |
import distutils.log
import os
import subprocess
import setuptools
class MessagesCommand(setuptools.Command):
user_options = []
def __init__(self, *args, **kwargs):
setuptools.Command.__init__(self, *args, **kwargs)
self.domain = 'messages'
self.cwd = os.getcwd()
self.root_pa... | govuk_bank_holidays/setup_extensions.py | import distutils.log
import os
import subprocess
import setuptools
class MessagesCommand(setuptools.Command):
user_options = []
def __init__(self, *args, **kwargs):
setuptools.Command.__init__(self, *args, **kwargs)
self.domain = 'messages'
self.cwd = os.getcwd()
self.root_pa... | 0.360151 | 0.05694 |
from queue import Empty as EmptyQueueException
from afqueue.common.exception_formatter import ExceptionFormatter #@UnresolvedImport
from afqueue.messages import message_types, system_messages #@UnresolvedImport
def consume_action_queue(thread_name, action_queue, notification_out_queue):
# Enter a loop which ... | afqueue/common_thread_methods/consume_action_queue.py | from queue import Empty as EmptyQueueException
from afqueue.common.exception_formatter import ExceptionFormatter #@UnresolvedImport
from afqueue.messages import message_types, system_messages #@UnresolvedImport
def consume_action_queue(thread_name, action_queue, notification_out_queue):
# Enter a loop which ... | 0.523908 | 0.075721 |
import numpy as np
import pytest
from mmedit.datasets.pipelines import (DegradationsWithShuffle, RandomBlur,
RandomJPEGCompression, RandomNoise,
RandomResize)
def test_random_noise():
results = {}
results['lq'] = np.ones((8, 8, 3))... | tests/test_data/test_pipelines/test_random_degradations.py | import numpy as np
import pytest
from mmedit.datasets.pipelines import (DegradationsWithShuffle, RandomBlur,
RandomJPEGCompression, RandomNoise,
RandomResize)
def test_random_noise():
results = {}
results['lq'] = np.ones((8, 8, 3))... | 0.634883 | 0.583381 |
from pytest import raises
def test_import_config():
from cabina import Config
def test_import_section():
from cabina import Section
def test_import_computed():
from cabina import computed
def test_import_meta():
from cabina import MetaBase
def test_import_error():
from cabina.errors import... | tests/test_imports.py | from pytest import raises
def test_import_config():
from cabina import Config
def test_import_section():
from cabina import Section
def test_import_computed():
from cabina import computed
def test_import_meta():
from cabina import MetaBase
def test_import_error():
from cabina.errors import... | 0.272025 | 0.222404 |
import datetime
import arrow
from ...ext.i18n import get_locale
from flask_restx import fields
from flask_babel import gettext as _
from flask import escape
from tzlocal import get_localzone
TZ = str(get_localzone())
class DateTime(fields.DateTime):
"""Custom DateTime parser on top of :mod:`arrow` to provide l... | burpui/api/custom/my_fields.py | import datetime
import arrow
from ...ext.i18n import get_locale
from flask_restx import fields
from flask_babel import gettext as _
from flask import escape
from tzlocal import get_localzone
TZ = str(get_localzone())
class DateTime(fields.DateTime):
"""Custom DateTime parser on top of :mod:`arrow` to provide l... | 0.585694 | 0.228307 |
import numpy as np
from scipy.io import loadmat
import pandas as pd
import streamlit as st
import plotly.graph_objects as go
# Page configuration
st.set_page_config(page_title="Regenerative Braking for Hyperloop", layout="wide", initial_sidebar_state="collapsed")
# Set Streamlit beta columns (3 columns)
left, centre... | main.py | import numpy as np
from scipy.io import loadmat
import pandas as pd
import streamlit as st
import plotly.graph_objects as go
# Page configuration
st.set_page_config(page_title="Regenerative Braking for Hyperloop", layout="wide", initial_sidebar_state="collapsed")
# Set Streamlit beta columns (3 columns)
left, centre... | 0.727201 | 0.610715 |
import json
from dash import dcc, html
from dash.dependencies import Input, Output
import plotly.express as px
import pandas as pd
from app import app
styles = {
'pre': {
'border': 'thin lightgrey solid',
'overflowX': 'scroll'
}
}
df = pd.DataFrame({
"x": [1, 2, 1, 2],
"y": [1, 2, 3,... | examples/print_graph.py | import json
from dash import dcc, html
from dash.dependencies import Input, Output
import plotly.express as px
import pandas as pd
from app import app
styles = {
'pre': {
'border': 'thin lightgrey solid',
'overflowX': 'scroll'
}
}
df = pd.DataFrame({
"x": [1, 2, 1, 2],
"y": [1, 2, 3,... | 0.612541 | 0.250919 |
import yaml
try:
from ansible.parsing.dataloader import DataLoader
from ansible.vars.manager import VariableManager
from ansible.inventory.manager import InventoryManager
has_ansible = True
except ImportError:
# ToDo: Support running without Ansible
has_ansible = False
def log(msg):
print(... | ansible/devutil/inv_helpers.py | import yaml
try:
from ansible.parsing.dataloader import DataLoader
from ansible.vars.manager import VariableManager
from ansible.inventory.manager import InventoryManager
has_ansible = True
except ImportError:
# ToDo: Support running without Ansible
has_ansible = False
def log(msg):
print(... | 0.403802 | 0.095518 |
import struct
try:
from collections import OrderedDict
except ImportError:
from ordereddict import OrderedDict
import blosc
from six import PY3, integer_types, binary_type
from .abstract_objects import (MutableMappingObject,
)
from .checksums import (CHECKSUMS_AVAIL,
... | bloscpack/headers.py |
import struct
try:
from collections import OrderedDict
except ImportError:
from ordereddict import OrderedDict
import blosc
from six import PY3, integer_types, binary_type
from .abstract_objects import (MutableMappingObject,
)
from .checksums import (CHECKSUMS_AVAIL,
... | 0.751739 | 0.231343 |
import numpy as np
from copy import deepcopy
from time import process_time_ns
from sklearn.base import BaseEstimator
from a2pm.patterns.patterns import create_pattern_tuple
class A2PMethod(BaseEstimator):
"""Adaptative Perturbation Pattern Method.
A2PM generates realistic adversarial examples by assigning a... | a2pm/a2pm.py |
import numpy as np
from copy import deepcopy
from time import process_time_ns
from sklearn.base import BaseEstimator
from a2pm.patterns.patterns import create_pattern_tuple
class A2PMethod(BaseEstimator):
"""Adaptative Perturbation Pattern Method.
A2PM generates realistic adversarial examples by assigning a... | 0.923035 | 0.684666 |
from dataclasses import dataclass
from datetime import datetime, timezone
from decimal import Decimal
from enum import Enum
from typing import List, Optional, Tuple, Union
from ppaya_lambda_utils.stores.inputs import (
AbstractInputData, AbstracInputParser,
to_new_put_item, to_update_item_kwargs, graphql_paylo... | tests/stores/test_inputs.py | from dataclasses import dataclass
from datetime import datetime, timezone
from decimal import Decimal
from enum import Enum
from typing import List, Optional, Tuple, Union
from ppaya_lambda_utils.stores.inputs import (
AbstractInputData, AbstracInputParser,
to_new_put_item, to_update_item_kwargs, graphql_paylo... | 0.790166 | 0.402891 |
import json
import logging
from typing import Any, BinaryIO, Dict, List, Optional, Union
from urllib.parse import quote_plus
import requests
import requests_toolbelt
from ._helper import build_folder_names, get_executor, raise_on_kwargs_not_empty, update_field, update_multiline_field
from .const import PRIORITY_NORM... | adaptavist/adaptavist.py |
import json
import logging
from typing import Any, BinaryIO, Dict, List, Optional, Union
from urllib.parse import quote_plus
import requests
import requests_toolbelt
from ._helper import build_folder_names, get_executor, raise_on_kwargs_not_empty, update_field, update_multiline_field
from .const import PRIORITY_NORM... | 0.823435 | 0.182025 |
import requests
from urllib.parse import urlencode
import os
import logger
from datetime import datetime
import json
class account:
def __init__(self, accountName, accountType="github", rootDir="~/.gitega"):
self.logger = logger.logger()
self.accountName = accountName
self.accountType = ac... | accountManager.py | import requests
from urllib.parse import urlencode
import os
import logger
from datetime import datetime
import json
class account:
def __init__(self, accountName, accountType="github", rootDir="~/.gitega"):
self.logger = logger.logger()
self.accountName = accountName
self.accountType = ac... | 0.214445 | 0.059784 |
from typing import Sequence, Union
import jax_dataclasses
from jax import numpy as jnp
from overrides import overrides
from .. import hints
from ._noise_model_base import NoiseModelBase
@jax_dataclasses.pytree_dataclass
class Gaussian(NoiseModelBase):
sqrt_precision_matrix: hints.Array
"""Lower-triangular s... | jaxfg/noises/_gaussians.py | from typing import Sequence, Union
import jax_dataclasses
from jax import numpy as jnp
from overrides import overrides
from .. import hints
from ._noise_model_base import NoiseModelBase
@jax_dataclasses.pytree_dataclass
class Gaussian(NoiseModelBase):
sqrt_precision_matrix: hints.Array
"""Lower-triangular s... | 0.957981 | 0.610366 |
import os
import asyncio
from pymongo import IndexModel, ASCENDING
from motor import motor_asyncio
from aiogram.contrib.fsm_storage import mongo as mongo_fsm
from typing import List, Type, TypeVar, Optional
from motor import motor_asyncio
from datetime import datetime
import pydantic
from pydantic import BaseConfig, F... | src/db.py | import os
import asyncio
from pymongo import IndexModel, ASCENDING
from motor import motor_asyncio
from aiogram.contrib.fsm_storage import mongo as mongo_fsm
from typing import List, Type, TypeVar, Optional
from motor import motor_asyncio
from datetime import datetime
import pydantic
from pydantic import BaseConfig, F... | 0.676406 | 0.179243 |
import glob, os, re
from os import path
from datetime import datetime
from bes.common.check import check
from bes.system.log import logger
from bes.python.code import code
from bes.fs.file_util import file_util
from bes.key_value.key_value_list import key_value_list
from bes.text.text_table import text_table
from .... | lib/bes/vfs/vfs_cli_command.py |
import glob, os, re
from os import path
from datetime import datetime
from bes.common.check import check
from bes.system.log import logger
from bes.python.code import code
from bes.fs.file_util import file_util
from bes.key_value.key_value_list import key_value_list
from bes.text.text_table import text_table
from .... | 0.341253 | 0.10683 |
from itertools import chain
def check_numbers_unique(number_list: list) -> bool:
"""
Checks whether numbers in list are all unique
>>> check_numbers_unique([1, 2, 3])
True
>>> check_numbers_unique([1, 2, 2])
False
"""
number_set = set()
for number in number_list:
if numbe... | puzzle.py | from itertools import chain
def check_numbers_unique(number_list: list) -> bool:
"""
Checks whether numbers in list are all unique
>>> check_numbers_unique([1, 2, 3])
True
>>> check_numbers_unique([1, 2, 2])
False
"""
number_set = set()
for number in number_list:
if numbe... | 0.61115 | 0.456955 |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('products_app', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Checkout',
fields=[
... | emka_trans/order_app/migrations/0001_initial.py |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('products_app', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Checkout',
fields=[
... | 0.611846 | 0.133161 |
from inspect import signature
from .markdown import notion_to_plaintext
class mapper(property):
def __init__(self, path, api_to_python, *args, **kwargs):
self.api_to_python = api_to_python
self.path = (
".".join(map(str, path))
if isinstance(path, (list, tuple))
... | notion_readonly/maps.py | from inspect import signature
from .markdown import notion_to_plaintext
class mapper(property):
def __init__(self, path, api_to_python, *args, **kwargs):
self.api_to_python = api_to_python
self.path = (
".".join(map(str, path))
if isinstance(path, (list, tuple))
... | 0.871803 | 0.27951 |
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.api_lib.storage import cloud_api
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.storage import encryption_util
from googlecloudsdk.command_lib.storage import erro... | lib/surface/storage/ls.py | from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.api_lib.storage import cloud_api
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.storage import encryption_util
from googlecloudsdk.command_lib.storage import erro... | 0.781164 | 0.229697 |
import sys
import tarfile
import tempfile
import unittest
import zipfile
from mock import MagicMock, patch
if sys.version_info < (2, 7): import unittest2 as unittest
from ffs import exceptions, Path, rm, touch
from ffs.contrib import archive
HERE = Path.here()
FIXTURES = HERE / 'fixtures'
class TarFilesystemTestC... | test/contrib/test_archive.py | import sys
import tarfile
import tempfile
import unittest
import zipfile
from mock import MagicMock, patch
if sys.version_info < (2, 7): import unittest2 as unittest
from ffs import exceptions, Path, rm, touch
from ffs.contrib import archive
HERE = Path.here()
FIXTURES = HERE / 'fixtures'
class TarFilesystemTestC... | 0.355775 | 0.495789 |
import abc
import re
import sys
if sys.platform == 'win32':
import _winreg
import wmi
from nova import block_device
from nova.i18n import _LI
from nova.openstack.common import log as logging
from nova.virt import driver
LOG = logging.getLogger(__name__)
class BaseVolumeUtils(object):
def __init__(self... | nova/virt/hyperv/basevolumeutils.py | import abc
import re
import sys
if sys.platform == 'win32':
import _winreg
import wmi
from nova import block_device
from nova.i18n import _LI
from nova.openstack.common import log as logging
from nova.virt import driver
LOG = logging.getLogger(__name__)
class BaseVolumeUtils(object):
def __init__(self... | 0.317215 | 0.067793 |
# This python script checks the output file for an example to
# see if the results are close to expected values. This script may be
# run directly, and it is also called when "make test" is run from the
# main REGCOIL directory.
execfile('../testsCommon.py')
absoluteTolerance=0
numFailures = 0
f = readOutputFile(... | examples/regcoilPaper_figure3_NF4/tests.py |
# This python script checks the output file for an example to
# see if the results are close to expected values. This script may be
# run directly, and it is also called when "make test" is run from the
# main REGCOIL directory.
execfile('../testsCommon.py')
absoluteTolerance=0
numFailures = 0
f = readOutputFile(... | 0.315209 | 0.438004 |
import numpy as np;
import tensorflow as tf
import util;
from dataset_utils import int64_feature, float_feature, bytes_feature, convert_to_example
# encoding = utf-8
import numpy as np
import time
import config
import util
class SynthTextDataFetcher():
def __init__(self, mat_path, root_path):
self.... | datasets/synthtext_to_tfrecords.py | import numpy as np;
import tensorflow as tf
import util;
from dataset_utils import int64_feature, float_feature, bytes_feature, convert_to_example
# encoding = utf-8
import numpy as np
import time
import config
import util
class SynthTextDataFetcher():
def __init__(self, mat_path, root_path):
self.... | 0.277473 | 0.309885 |
import pathlib
import gi
gi.require_version("Gtk", "3.0")
gi.require_version("WebKit2", "4.0")
from gi.repository import Gtk, Gdk, WebKit2
from base_player import BasePlayer
from commons import *
class WebPlayer(BasePlayer):
def __init__(self, config):
super().__init__(config)
self.start_all_mo... | src/web_player.py | import pathlib
import gi
gi.require_version("Gtk", "3.0")
gi.require_version("WebKit2", "4.0")
from gi.repository import Gtk, Gdk, WebKit2
from base_player import BasePlayer
from commons import *
class WebPlayer(BasePlayer):
def __init__(self, config):
super().__init__(config)
self.start_all_mo... | 0.375134 | 0.108472 |
"""Tests for mass_op."""
import collections
from lingvo import compat as tf
from lingvo.core import ops
from lingvo.core import test_utils
import numpy as np
FLAGS = tf.flags.FLAGS
BOS = 1
EOS = 2
MassOutput = collections.namedtuple(
'MassOutput', ['src_ids', 'tgt_ids', 'tgt_labels', 'tgt_weights'])
# Set defa... | lingvo/core/ops/mass_op_test.py | """Tests for mass_op."""
import collections
from lingvo import compat as tf
from lingvo.core import ops
from lingvo.core import test_utils
import numpy as np
FLAGS = tf.flags.FLAGS
BOS = 1
EOS = 2
MassOutput = collections.namedtuple(
'MassOutput', ['src_ids', 'tgt_ids', 'tgt_labels', 'tgt_weights'])
# Set defa... | 0.847542 | 0.678527 |
from st2reactor.sensor.base import Sensor
from flask import Flask, request
import json
WEBHOOK_TRIGGER_REF = "activecampaign.webhook"
class ActiveCampaignWebhook(Sensor):
"""
Receives webhooks from ActiveCampaign. Implemented as standalone
to be run on DMZ.
* self._sensor_service
- provides... | sensors/ac_webhook.py | from st2reactor.sensor.base import Sensor
from flask import Flask, request
import json
WEBHOOK_TRIGGER_REF = "activecampaign.webhook"
class ActiveCampaignWebhook(Sensor):
"""
Receives webhooks from ActiveCampaign. Implemented as standalone
to be run on DMZ.
* self._sensor_service
- provides... | 0.622 | 0.080502 |
import random
import string
import time
import calendar
import googleapiclient.discovery
from google.cloud import runtimeconfig, datastore, storage
from google.cloud import logging as g_logging
from googleapiclient.errors import HttpError
from socket import timeout
runtimeconfig_client = runtimeconfig.Client()
myconf... | cloud-functions/common/globals.py | import random
import string
import time
import calendar
import googleapiclient.discovery
from google.cloud import runtimeconfig, datastore, storage
from google.cloud import logging as g_logging
from googleapiclient.errors import HttpError
from socket import timeout
runtimeconfig_client = runtimeconfig.Client()
myconf... | 0.275812 | 0.039269 |
from leapp import reporting
from leapp.actors import Actor
from leapp.models import TMPTargetRepositoriesFacts, UsedTargetRepositories
from leapp.reporting import Report
from leapp.tags import IPUWorkflowTag, TargetTransactionChecksPhaseTag
from leapp.utils.deprecation import suppress_deprecation
@suppress_deprecatio... | repos/system_upgrade/common/actors/localreposinhibit/actor.py | from leapp import reporting
from leapp.actors import Actor
from leapp.models import TMPTargetRepositoriesFacts, UsedTargetRepositories
from leapp.reporting import Report
from leapp.tags import IPUWorkflowTag, TargetTransactionChecksPhaseTag
from leapp.utils.deprecation import suppress_deprecation
@suppress_deprecatio... | 0.529507 | 0.063948 |
import logging
from dataclasses import dataclass
from typing import Dict, List, Optional
import torch as th
log = logging.getLogger(__name__)
@dataclass
class TensorSpec:
shape: th.Size
dtype: th.dtype
@staticmethod
def fromTensor(x: th.Tensor):
return TensorSpec(shape=th.Size(x.shape), dt... | hucc/replaybuffer.py |
import logging
from dataclasses import dataclass
from typing import Dict, List, Optional
import torch as th
log = logging.getLogger(__name__)
@dataclass
class TensorSpec:
shape: th.Size
dtype: th.dtype
@staticmethod
def fromTensor(x: th.Tensor):
return TensorSpec(shape=th.Size(x.shape), dt... | 0.903706 | 0.438665 |
cts = [
'<KEY>',
'<KEY>',
'32510ba9a7b2bba9b8005d43a304b5714cc0bb0c8a34884dd91304b8ad40b62b07df44ba6e9d8a2368e51d04e0e7b207b70b9b8261112bacb6c866a232dfe257527dc29398f5f3251a0d47e503c66e935de81230b59b7afb5f41afa8d661cb',
'32510ba9aab2a8a4fd06414fb517b5605cc0aa0dc91a8908c2064ba8ad5ea06a029056f47a8ad3306ef... | week1/decrypt.py | cts = [
'<KEY>',
'<KEY>',
'32510ba9a7b2bba9b8005d43a304b5714cc0bb0c8a34884dd91304b8ad40b62b07df44ba6e9d8a2368e51d04e0e7b207b70b9b8261112bacb6c866a232dfe257527dc29398f5f3251a0d47e503c66e935de81230b59b7afb5f41afa8d661cb',
'32510ba9aab2a8a4fd06414fb517b5605cc0aa0dc91a8908c2064ba8ad5ea06a029056f47a8ad3306ef... | 0.14016 | 0.248409 |
import time
from seldom.db_operation import SQLiteDB, MySQLDB
# 定义过去时间
past_start_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(time.time() - 100000))
past_end_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(time.time() - 100000 + 7200))
# 发布会开始&结束时间
start_time = time.strftime("%Y-%m-%d %H:%M:%S"... | db_test_data.py | import time
from seldom.db_operation import SQLiteDB, MySQLDB
# 定义过去时间
past_start_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(time.time() - 100000))
past_end_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(time.time() - 100000 + 7200))
# 发布会开始&结束时间
start_time = time.strftime("%Y-%m-%d %H:%M:%S"... | 0.18363 | 0.184088 |
import pytest
from opentrons.types import Point
from opentrons.hardware_control import pipette, types
from opentrons.config import pipette_config
def test_tip_tracking():
pip = pipette.Pipette('p10_single_v1',
{'single': [0, 0, 0],
'multi': [0, 0, 0]},
... | api/tests/opentrons/hardware_control/test_pipette.py | import pytest
from opentrons.types import Point
from opentrons.hardware_control import pipette, types
from opentrons.config import pipette_config
def test_tip_tracking():
pip = pipette.Pipette('p10_single_v1',
{'single': [0, 0, 0],
'multi': [0, 0, 0]},
... | 0.548915 | 0.620133 |
import boto3
import os
from os import listdir
from os.path import isfile, join, dirname, basename, exists, split, splitext
class S3Client:
'''
@description
Initializes the S3Client object and creates a S3 client object.
@arguments
region_name : <str> Supplies the region name of the S3 ins... | ddls3utils/s3utils.py | import boto3
import os
from os import listdir
from os.path import isfile, join, dirname, basename, exists, split, splitext
class S3Client:
'''
@description
Initializes the S3Client object and creates a S3 client object.
@arguments
region_name : <str> Supplies the region name of the S3 ins... | 0.601242 | 0.160463 |
import array
from inspect import isclass
import pytest
from .._utils import ConversionDirection
from .._dbr import ChannelType, DbrStringArray
from .. import backend
from .conftest import (array_types, assert_array_almost_equal)
FROM_WIRE = ConversionDirection.FROM_WIRE
TO_WIRE = ConversionDirection.TO_WIRE
STRING... | caproto/tests/test_data_conversion.py | import array
from inspect import isclass
import pytest
from .._utils import ConversionDirection
from .._dbr import ChannelType, DbrStringArray
from .. import backend
from .conftest import (array_types, assert_array_almost_equal)
FROM_WIRE = ConversionDirection.FROM_WIRE
TO_WIRE = ConversionDirection.TO_WIRE
STRING... | 0.354992 | 0.489626 |
from datetime import datetime
import requests, time, statistics
class BangumiMark(object):
def __init__(self, subnumber):
self.subnumber = subnumber
self.avgmark = 0
self.standard_deviation = 0
self.marklist = []
#set a list to store each score is marked by how many... | bangumimark/classbangumimark.py | from datetime import datetime
import requests, time, statistics
class BangumiMark(object):
def __init__(self, subnumber):
self.subnumber = subnumber
self.avgmark = 0
self.standard_deviation = 0
self.marklist = []
#set a list to store each score is marked by how many... | 0.304455 | 0.060891 |
from typing import Optional
import torch
def homogenize_points(pts: torch.Tensor):
r"""Convert a set of points to homogeneous coordinates.
Args:
pts (torch.Tensor): Tensor containing points to be homogenized.
Returns:
torch.Tensor: Homogeneous coordinates of pts.
Shape:
- p... | gradslam/geometry/projutils.py | from typing import Optional
import torch
def homogenize_points(pts: torch.Tensor):
r"""Convert a set of points to homogeneous coordinates.
Args:
pts (torch.Tensor): Tensor containing points to be homogenized.
Returns:
torch.Tensor: Homogeneous coordinates of pts.
Shape:
- p... | 0.977197 | 0.926237 |
import discord, json, asyncio
from discord.ext import commands
from discord import Embed
from discord.ext.commands import has_permissions
from discord.ext.commands import MissingPermissions
check = "✅"
def get_prefix(client, message):
with open("prefixes.json", "r") as f:
prefixes =json.... | commands/ModCommands.py | import discord, json, asyncio
from discord.ext import commands
from discord import Embed
from discord.ext.commands import has_permissions
from discord.ext.commands import MissingPermissions
check = "✅"
def get_prefix(client, message):
with open("prefixes.json", "r") as f:
prefixes =json.... | 0.2587 | 0.09122 |
import pyblish.api
import pype.api
from maya import cmds
import pype.hosts.maya.action
class ValidateAssemblyModelTransforms(pyblish.api.InstancePlugin):
"""Verify only root nodes of the loaded asset have transformations.
Note: This check is temporary and is subject to change.
Example outliner:
<>... | pype/plugins/maya/publish/validate_assembly_transforms.py | import pyblish.api
import pype.api
from maya import cmds
import pype.hosts.maya.action
class ValidateAssemblyModelTransforms(pyblish.api.InstancePlugin):
"""Verify only root nodes of the loaded asset have transformations.
Note: This check is temporary and is subject to change.
Example outliner:
<>... | 0.865622 | 0.292981 |
import typing as tp
import os
import numpy as np
import pyomo.environ as pyomo
import nevergrad as ng
from . import core
def test_concrete_model_without_constraints() -> None:
model = pyomo.ConcreteModel()
model.x = pyomo.Var([1, 2], domain=pyomo.NonNegativeReals)
model.obj = pyomo.Objective(expr=(model.x... | nevergrad/functions/pyomo/test_core.py | import typing as tp
import os
import numpy as np
import pyomo.environ as pyomo
import nevergrad as ng
from . import core
def test_concrete_model_without_constraints() -> None:
model = pyomo.ConcreteModel()
model.x = pyomo.Var([1, 2], domain=pyomo.NonNegativeReals)
model.obj = pyomo.Objective(expr=(model.x... | 0.679391 | 0.586819 |
import cv2
import mediapipe as mp
import time
import tkinter
from KeyboardControl import keyboardControl
from PositionDetect import positionDetector
class handDetector():
def __init__(self, mode = False, maxHands = 1, detectionConf = 0.6, trackConf = 0.7):
self.mpHands = mp.solutions.hands
self.han... | HandTrack.py | import cv2
import mediapipe as mp
import time
import tkinter
from KeyboardControl import keyboardControl
from PositionDetect import positionDetector
class handDetector():
def __init__(self, mode = False, maxHands = 1, detectionConf = 0.6, trackConf = 0.7):
self.mpHands = mp.solutions.hands
self.han... | 0.428233 | 0.232746 |
import argparse
import pebble as libpebble
import sys
import time
MAX_ATTEMPTS = 5
def cmd_ping(pebble, args):
pebble.ping(cookie=0xDEADBEEF)
def cmd_load(pebble, args):
pebble.install_app(args.app_bundle)
def cmd_load_fw(pebble, args):
pebble.install_firmware(args.fw_bundle)
time.sleep(5)
prin... | p.py |
import argparse
import pebble as libpebble
import sys
import time
MAX_ATTEMPTS = 5
def cmd_ping(pebble, args):
pebble.ping(cookie=0xDEADBEEF)
def cmd_load(pebble, args):
pebble.install_app(args.app_bundle)
def cmd_load_fw(pebble, args):
pebble.install_firmware(args.fw_bundle)
time.sleep(5)
prin... | 0.229104 | 0.059784 |
import struct
import sys
from pathlib import Path
import zmq
from PyQt5 import QtCore
from PyQt5 import QtWidgets
from PyQt5.QtWidgets import QLineEdit
from PyQt5.QtWidgets import QListWidget
from PyQt5.QtWidgets import QSlider
from PyQt5.QtWidgets import QSplitter
from PyQt5.QtWidgets import QStatusBar
from PyQt5.QtW... | mmsim/ui.py | import struct
import sys
from pathlib import Path
import zmq
from PyQt5 import QtCore
from PyQt5 import QtWidgets
from PyQt5.QtWidgets import QLineEdit
from PyQt5.QtWidgets import QListWidget
from PyQt5.QtWidgets import QSlider
from PyQt5.QtWidgets import QSplitter
from PyQt5.QtWidgets import QStatusBar
from PyQt5.QtW... | 0.337422 | 0.101768 |
import re # noqa: F401
from xero_python.models import BaseModel
class AccessToken(BaseModel):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict): The key is attribute... | venv/lib/python3.6/site-packages/xero_python/identity/models/access_token.py | import re # noqa: F401
from xero_python.models import BaseModel
class AccessToken(BaseModel):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict): The key is attribute... | 0.831074 | 0.106644 |
# =============================================================================
# IMPORTS
# =============================================================================
import praw
import MySQLdb
import ConfigParser
import time
import parsedatetime.parsedatetime as pdt
import pprint
import logging
from datetime impor... | techmodnotify.py |
# =============================================================================
# IMPORTS
# =============================================================================
import praw
import MySQLdb
import ConfigParser
import time
import parsedatetime.parsedatetime as pdt
import pprint
import logging
from datetime impor... | 0.282394 | 0.068226 |
from django.db import models
from AlyMoly.mantenedor.models import Proveedor, Producto, Bodega
from django.db.models.signals import post_save, pre_save
from AlyMoly.movimiento.signal import ingreso_mercaderia, egreso_mercaderia, traspaso_mercaderia, actualizar_costo
from AlyMoly.tags.templatetags.tags import milesforma... | AlyMoly/movimiento/models.py | from django.db import models
from AlyMoly.mantenedor.models import Proveedor, Producto, Bodega
from django.db.models.signals import post_save, pre_save
from AlyMoly.movimiento.signal import ingreso_mercaderia, egreso_mercaderia, traspaso_mercaderia, actualizar_costo
from AlyMoly.tags.templatetags.tags import milesforma... | 0.505371 | 0.212293 |
from .exceptions import (
InvalidAPIHeaderException, InvalidHeaderException,
ViewRequestValidator,)
class RegisterDeviceViewRequestValidator(ViewRequestValidator):
def __init__(self, request):
super().__init__(request)
def validate(self):
is_valid = self.validate_headers
retu... | tvarit_backend/operation/helpers/view_helpers.py | from .exceptions import (
InvalidAPIHeaderException, InvalidHeaderException,
ViewRequestValidator,)
class RegisterDeviceViewRequestValidator(ViewRequestValidator):
def __init__(self, request):
super().__init__(request)
def validate(self):
is_valid = self.validate_headers
retu... | 0.785473 | 0.192046 |
from typing import Optional, Callable, List
import torch
from torch import nn
from torch.optim import SGD, Adam, Optimizer
from transformers import AdamW
def initialize_optimizer(config, model):
# initialize optimizers
if config.optimizer=='SGD':
params = filter(lambda p: p.requires_grad, model.param... | examples/optimizer.py | from typing import Optional, Callable, List
import torch
from torch import nn
from torch.optim import SGD, Adam, Optimizer
from transformers import AdamW
def initialize_optimizer(config, model):
# initialize optimizers
if config.optimizer=='SGD':
params = filter(lambda p: p.requires_grad, model.param... | 0.937982 | 0.368974 |
from optparse import OptionParser
from classification_model import ClassificationModel
from regression_model import RegressionModel
def main():
parser = OptionParser()
parser.add_option('-m', '--model', type='string', help='Model name: {linear, dnn}')
parser.add_option('-t', '--tab', type='string', help=... | main.py | from optparse import OptionParser
from classification_model import ClassificationModel
from regression_model import RegressionModel
def main():
parser = OptionParser()
parser.add_option('-m', '--model', type='string', help='Model name: {linear, dnn}')
parser.add_option('-t', '--tab', type='string', help=... | 0.679285 | 0.256366 |
__author__ = '<NAME> <<EMAIL>>'
from nbconvert.preprocessors import Preprocessor
import os
from .processor_util import (
get_icon,
get_authors
)
from .app_processor import AppProcessor
from datetime import datetime
from collections import defaultdict
from installed_clients.NarrativeMethodStoreClient import Nar... | lib/StaticNarrative/exporter/preprocessor.py | __author__ = '<NAME> <<EMAIL>>'
from nbconvert.preprocessors import Preprocessor
import os
from .processor_util import (
get_icon,
get_authors
)
from .app_processor import AppProcessor
from datetime import datetime
from collections import defaultdict
from installed_clients.NarrativeMethodStoreClient import Nar... | 0.44746 | 0.083928 |
from typing import Optional
import pytest
from django.db import DEFAULT_DB_ALIAS
@pytest.fixture()
def migrator_factory(request, transactional_db, django_db_use_migrations):
"""
Pytest fixture to create migrators inside the pytest tests.
How? Here's an example.
.. code:: python
@pytest.mar... | django_test_migrations/contrib/pytest_plugin.py | from typing import Optional
import pytest
from django.db import DEFAULT_DB_ALIAS
@pytest.fixture()
def migrator_factory(request, transactional_db, django_db_use_migrations):
"""
Pytest fixture to create migrators inside the pytest tests.
How? Here's an example.
.. code:: python
@pytest.mar... | 0.902344 | 0.315222 |
from __future__ import print_function
from ROOT import TStyle, kWhite, kTRUE
from ROOT import gROOT, gStyle
from ROOT import kGray, kAzure, kMagenta, kOrange, kWhite
from ROOT import kRed, kBlue, kGreen, kPink, kYellow
from ROOT import TLine, TLatex, TColor
from collections import namedtuple, OrderedDict
from math imp... | Validation/Geometry/python/plot_hgcal_utils.py | from __future__ import print_function
from ROOT import TStyle, kWhite, kTRUE
from ROOT import gROOT, gStyle
from ROOT import kGray, kAzure, kMagenta, kOrange, kWhite
from ROOT import kRed, kBlue, kGreen, kPink, kYellow
from ROOT import TLine, TLatex, TColor
from collections import namedtuple, OrderedDict
from math imp... | 0.788298 | 0.533641 |
from tkinter import *
from PIL import ImageTk, Image
from src.scripts.resourceLoader import resource_path
from cv2 import *
from tkinter import messagebox
from src.scripts.Detector import face_detector
from src.scripts.Estimator import focal_length_calculator, distance_calculator
from src.screens.Eyetesting.EyePower.Ro... | src/scripts/interface.py | from tkinter import *
from PIL import ImageTk, Image
from src.scripts.resourceLoader import resource_path
from cv2 import *
from tkinter import messagebox
from src.scripts.Detector import face_detector
from src.scripts.Estimator import focal_length_calculator, distance_calculator
from src.screens.Eyetesting.EyePower.Ro... | 0.767603 | 0.355691 |
from thbase.hbase import THBaseService
from thbase.hbase.ttypes import TTableDescriptor, TPermissionScope
from thbase.hbase.ttypes import TColumnFamilyDescriptor
from thbase.hbase.ttypes import TAccessControlEntity
from thbase.clientbase import ClientBase
from thbase.thrift2.table import Table
from thbase.util.executor... | thbase/thrift2/client.py | from thbase.hbase import THBaseService
from thbase.hbase.ttypes import TTableDescriptor, TPermissionScope
from thbase.hbase.ttypes import TColumnFamilyDescriptor
from thbase.hbase.ttypes import TAccessControlEntity
from thbase.clientbase import ClientBase
from thbase.thrift2.table import Table
from thbase.util.executor... | 0.771972 | 0.107437 |
import logging
from enum import Enum, unique
from PyQt5.QtGui import QIcon, QPainter, QPainterPath, QBrush, QColor, QPen
from PyQt5.QtWidgets import QApplication, qApp
from PyQt5.QtWidgets import QSystemTrayIcon, QMenu, QAction
from stockmonitor.gui import resources
_LOGGER = logging.getLogger(__name__)
@unique
... | src/stockmonitor/gui/trayicon.py |
import logging
from enum import Enum, unique
from PyQt5.QtGui import QIcon, QPainter, QPainterPath, QBrush, QColor, QPen
from PyQt5.QtWidgets import QApplication, qApp
from PyQt5.QtWidgets import QSystemTrayIcon, QMenu, QAction
from stockmonitor.gui import resources
_LOGGER = logging.getLogger(__name__)
@unique
... | 0.35421 | 0.108095 |
import copy
import logging
from klever.core.vtg.emg.common.process import Process
from klever.core.vtg.emg.decomposition.scenario import Scenario
from klever.core.vtg.emg.common.process.actions import Savepoint, BaseAction, Operator, Behaviour, Concatenation, \
Choice, Parentheses, Subprocess, Actions
class Sce... | klever/core/vtg/emg/decomposition/separation/__init__.py |
import copy
import logging
from klever.core.vtg.emg.common.process import Process
from klever.core.vtg.emg.decomposition.scenario import Scenario
from klever.core.vtg.emg.common.process.actions import Savepoint, BaseAction, Operator, Behaviour, Concatenation, \
Choice, Parentheses, Subprocess, Actions
class Sce... | 0.784278 | 0.509703 |
from datetime import date, datetime
from io import StringIO
from django.test import TestCase, override_settings
from wagtail.core.models import Site
from pytz import timezone
from search.elasticsearch_helpers import ElasticsearchTestsMixin
from v1.documents import (
EnforcementActionFilterablePagesDocumentSearc... | cfgov/v1/tests/test_filterable_list_form.py | from datetime import date, datetime
from io import StringIO
from django.test import TestCase, override_settings
from wagtail.core.models import Site
from pytz import timezone
from search.elasticsearch_helpers import ElasticsearchTestsMixin
from v1.documents import (
EnforcementActionFilterablePagesDocumentSearc... | 0.572006 | 0.221161 |
from datetime import datetime
from tess.data.vulnerability import Vulnerability
class Utils:
@staticmethod
def get_available_feature_schema(data, force_base_entries=True):
cwe_entries = []
capec_entries = []
keywords_entries = []
for el in data:
cwe_entries.extend... | tess/utils.py | from datetime import datetime
from tess.data.vulnerability import Vulnerability
class Utils:
@staticmethod
def get_available_feature_schema(data, force_base_entries=True):
cwe_entries = []
capec_entries = []
keywords_entries = []
for el in data:
cwe_entries.extend... | 0.432782 | 0.162812 |
import collections
import os
import sys
import libusb1
import logging
import subprocess
import time
import usb1
from devil.utils import find_usb_devices
from devil.utils import usb_hubs
if sys.platform != 'linux2':
raise NotImplementedError('This library only supported on linux systems.')
_SUPPORTED_INTERFACES =... | infra/services/android_docker/usb_device.py | import collections
import os
import sys
import libusb1
import logging
import subprocess
import time
import usb1
from devil.utils import find_usb_devices
from devil.utils import usb_hubs
if sys.platform != 'linux2':
raise NotImplementedError('This library only supported on linux systems.')
_SUPPORTED_INTERFACES =... | 0.447219 | 0.09628 |
from torch.utils import data
import torch
import glob
import os
import random
import librosa
import numpy as np
# a repo with fast generation algorithm: https://github.com/vincentherrmann/pytorch-wavenet
class VCTK(data.Dataset):
def __init__(self,
root,
receptive_field,
... | audio_loader.py | from torch.utils import data
import torch
import glob
import os
import random
import librosa
import numpy as np
# a repo with fast generation algorithm: https://github.com/vincentherrmann/pytorch-wavenet
class VCTK(data.Dataset):
def __init__(self,
root,
receptive_field,
... | 0.460774 | 0.300643 |
# scapy.contrib.description = Message Queuing Telemetry Transport (MQTT)
# scapy.contrib.status = loads
from scapy.packet import Packet, bind_layers
from scapy.fields import FieldLenField, BitEnumField, StrLenField, \
ShortField, ConditionalField, ByteEnumField, ByteField, PacketListField
from scapy.layers.inet i... | scripts/external_libs/scapy-2.4.5/scapy/contrib/mqtt.py |
# scapy.contrib.description = Message Queuing Telemetry Transport (MQTT)
# scapy.contrib.status = loads
from scapy.packet import Packet, bind_layers
from scapy.fields import FieldLenField, BitEnumField, StrLenField, \
ShortField, ConditionalField, ByteEnumField, ByteField, PacketListField
from scapy.layers.inet i... | 0.541409 | 0.199191 |
import numpy as np
from scipy.integrate import quad
from scipy.integrate import dblquad
from numba import jit
import pandas as pd
import matplotlib.pyplot as plt
eV = 1 #Energy
K = 1 #Temperature Units
C = 1 #Coulombs
s = 1 #seconds
V = 1 #volts
kb = 8.6173324e-5*eV/K #Boltzmann Constant
q = 1.6e-19*C
h = 4.135... | README/functions.py | import numpy as np
from scipy.integrate import quad
from scipy.integrate import dblquad
from numba import jit
import pandas as pd
import matplotlib.pyplot as plt
eV = 1 #Energy
K = 1 #Temperature Units
C = 1 #Coulombs
s = 1 #seconds
V = 1 #volts
kb = 8.6173324e-5*eV/K #Boltzmann Constant
q = 1.6e-19*C
h = 4.135... | 0.721253 | 0.566378 |
from typing import List, Pattern
from recognizers_text.extractor import Extractor
from recognizers_text.utilities import RegExpUtility, DefinitionLoader
from recognizers_number import GermanIntegerExtractor
from ...resources.german_date_time import GermanDateTime
from ..extractors import DateTimeExtractor
from ..base... | Python/libraries/recognizers-date-time/recognizers_date_time/date_time/german/merged_extractor_config.py |
from typing import List, Pattern
from recognizers_text.extractor import Extractor
from recognizers_text.utilities import RegExpUtility, DefinitionLoader
from recognizers_number import GermanIntegerExtractor
from ...resources.german_date_time import GermanDateTime
from ..extractors import DateTimeExtractor
from ..base... | 0.859708 | 0.178669 |
import tensorflow as tf
from .utils import make_divisible
class SqueezeExcite(tf.keras.layers.Layer):
def __init__(self, in_chs, kernel_initializer='glorot_uniform', bias_initializer='zeros', se_factor=3,
act_squeeze_fn=tf.nn.relu, gate_fn=tf.sigmoid, divisible_by=8, padding='same', **kwargs):
... | singlenet-function/model_struct/cuslayer/mobilenet_v3.py | import tensorflow as tf
from .utils import make_divisible
class SqueezeExcite(tf.keras.layers.Layer):
def __init__(self, in_chs, kernel_initializer='glorot_uniform', bias_initializer='zeros', se_factor=3,
act_squeeze_fn=tf.nn.relu, gate_fn=tf.sigmoid, divisible_by=8, padding='same', **kwargs):
... | 0.942447 | 0.492615 |
import os, random
WHITESPACES = [' ', '\r', '\t', '\n']
def rndstr(l):
s = ''
for i in range(l):
s += chr(random.randint(97, 122))
return s
def gen_name(dir, prefix, ext, l=8):
s = prefix + rndstr(l) + ext
while os.path.exists(os.path.join(dir, s)):
s = prefix + rndstr(l) + ext
... | build/lib/scierra/utils/utils.py | import os, random
WHITESPACES = [' ', '\r', '\t', '\n']
def rndstr(l):
s = ''
for i in range(l):
s += chr(random.randint(97, 122))
return s
def gen_name(dir, prefix, ext, l=8):
s = prefix + rndstr(l) + ext
while os.path.exists(os.path.join(dir, s)):
s = prefix + rndstr(l) + ext
... | 0.105533 | 0.27661 |
import frappe
from latte.database_utils.connection_pool import PatchedDatabase
from pymysql.err import IntegrityError
def lockless_gapless_autoname(doc, _=None):
# print('Gapless')
naming_series = doc.naming_series.replace('.', '').replace('#', '')
digits = doc.naming_series.split('.')[-1].count('#') or 5
getter_d... | latte/latte_core/naming/lockless_gapless_autoname.py | import frappe
from latte.database_utils.connection_pool import PatchedDatabase
from pymysql.err import IntegrityError
def lockless_gapless_autoname(doc, _=None):
# print('Gapless')
naming_series = doc.naming_series.replace('.', '').replace('#', '')
digits = doc.naming_series.split('.')[-1].count('#') or 5
getter_d... | 0.180143 | 0.111459 |
import logging
from . import command as cmd
from .editor import Editor
from .history import get_history, should_update_history, update_history
from .results import error, handle_cancel, result
from .types import PyXTServer
# register commands by importing them
from .cmd import ( # noqa: F401
ag,
history,
... | pyxt/server.py | import logging
from . import command as cmd
from .editor import Editor
from .history import get_history, should_update_history, update_history
from .results import error, handle_cancel, result
from .types import PyXTServer
# register commands by importing them
from .cmd import ( # noqa: F401
ag,
history,
... | 0.294012 | 0.137475 |
import os
from math import pi
from OpenGL.GL import *
from CourseResources import basic_shapes as bs
from CourseResources import easy_shaders as es
from CourseResources import scene_graph2 as sg
from CourseResources import transformations2 as tr
class Wall(object):
def __init__(self, grid_size):
# Bas... | T2/MVC/Models/Wall.py | import os
from math import pi
from OpenGL.GL import *
from CourseResources import basic_shapes as bs
from CourseResources import easy_shaders as es
from CourseResources import scene_graph2 as sg
from CourseResources import transformations2 as tr
class Wall(object):
def __init__(self, grid_size):
# Bas... | 0.486575 | 0.367015 |
import tensorflow as tf
from ._custom_layers_and_blocks import ConvolutionBnActivation, Upsample_x2_Block
from ..backbones.tf_backbones import create_base_model
################################################################################
# UNet
##############################################################... | tensorflow_advanced_segmentation_models/models/UNet.py | import tensorflow as tf
from ._custom_layers_and_blocks import ConvolutionBnActivation, Upsample_x2_Block
from ..backbones.tf_backbones import create_base_model
################################################################################
# UNet
##############################################################... | 0.865934 | 0.252862 |
import requests
import os
import time
import re
from .flv_checker import Flv
recorders = {}
def recorder(liver):
assert liver != None
def clazz(cls):
recorders[liver] = cls
cls.liver = liver
return cls
return clazz
class BaseRecorder:
def __init__(self... | live_recorder/you_live/_base_recorder.py | import requests
import os
import time
import re
from .flv_checker import Flv
recorders = {}
def recorder(liver):
assert liver != None
def clazz(cls):
recorders[liver] = cls
cls.liver = liver
return cls
return clazz
class BaseRecorder:
def __init__(self... | 0.06874 | 0.054727 |
import projeto
import random
total = 0
def menu_cardapio():
while 1:
print("** Escolha uma das opções abaixo! **")
print("[1] - Café da manhã")
print("[2] - Almoço")
print("[3] - Janta")
print("[4] - Finalizar pedido")
print("[5] - Sair")
res = int(input("Op... | projeto/cardapio.py | import projeto
import random
total = 0
def menu_cardapio():
while 1:
print("** Escolha uma das opções abaixo! **")
print("[1] - Café da manhã")
print("[2] - Almoço")
print("[3] - Janta")
print("[4] - Finalizar pedido")
print("[5] - Sair")
res = int(input("Op... | 0.124505 | 0.180431 |
from bs4 import BeautifulSoup
import urllib
def formatear_fecha(fecha, universidad):
fecha = fecha.split()
if universidad == "uv":
dia = fecha[0]
mes = fecha[2].lower()
anno = fecha[4]
elif universidad == "upla":
dia = fecha[1]
mes = fecha[2].lower()
anno =... | scraper/uv.py | from bs4 import BeautifulSoup
import urllib
def formatear_fecha(fecha, universidad):
fecha = fecha.split()
if universidad == "uv":
dia = fecha[0]
mes = fecha[2].lower()
anno = fecha[4]
elif universidad == "upla":
dia = fecha[1]
mes = fecha[2].lower()
anno =... | 0.137185 | 0.27499 |
import csv
import time
from datetime import datetime
import requests
# Try with your favorite subreddits (case insensitive).
SUBREDDITS = ["askreddit", "gaming","dankmemes","memes","politics","pcmasterrace","tifu","okbuddyretard","holup","cursedcomments","crackheadcraigslist","roastme","pewdiepiesubmissions","aliens"... | step1_alt.py | import csv
import time
from datetime import datetime
import requests
# Try with your favorite subreddits (case insensitive).
SUBREDDITS = ["askreddit", "gaming","dankmemes","memes","politics","pcmasterrace","tifu","okbuddyretard","holup","cursedcomments","crackheadcraigslist","roastme","pewdiepiesubmissions","aliens"... | 0.525369 | 0.190762 |
# In[ ]:
import os
import sys
import random
import pandas as pd
from pandas import Series, DataFrame
q1 = "Would you like to continue? "
def rename_file(file_name):
if not ".csv" in file_name:
file_rename = file_name + ".csv"
return file_rename
def check_file(file_name):
try:
if os.p... | vocabulary-flash-card-app.py |
# In[ ]:
import os
import sys
import random
import pandas as pd
from pandas import Series, DataFrame
q1 = "Would you like to continue? "
def rename_file(file_name):
if not ".csv" in file_name:
file_rename = file_name + ".csv"
return file_rename
def check_file(file_name):
try:
if os.p... | 0.246352 | 0.154504 |
import collections
import inspect
import json
import os
import sys
import time
import threading
import traceback
DEBUG = 3
def format_seconds(i):
h, r = divmod(i, 3600)
m, s = divmod(r, 60)
return "%sh%sm%ss" % (h, m, s)
def xttrs(type, *args, **kwargs):
"""
Wrap an instance of a mapping type such that key... | ruco/bits.py | import collections
import inspect
import json
import os
import sys
import time
import threading
import traceback
DEBUG = 3
def format_seconds(i):
h, r = divmod(i, 3600)
m, s = divmod(r, 60)
return "%sh%sm%ss" % (h, m, s)
def xttrs(type, *args, **kwargs):
"""
Wrap an instance of a mapping type such that key... | 0.165054 | 0.074736 |
import copy
from aerosandbox import *
opti = cas.Opti() # Initialize an analysis/optimization environment
# Here's how you can make design variables:
def variable(init_val, lb=None, ub=None):
"""
Initialize a scalar design variable.
:param init_val: Initial guess
:param lb: Optional lower bound
... | examples/fuselage_testing/casll1_fuselage_simple_analysis_point.py | import copy
from aerosandbox import *
opti = cas.Opti() # Initialize an analysis/optimization environment
# Here's how you can make design variables:
def variable(init_val, lb=None, ub=None):
"""
Initialize a scalar design variable.
:param init_val: Initial guess
:param lb: Optional lower bound
... | 0.736685 | 0.383324 |
import networkx as nx
import pandas as pd
from analysis.statics import YEARS
from analysis.utils import (get_basic_parser, get_country,
get_crossreference_path, get_node_and_edge_files)
def get_networkx_graph_components(basepath, nodefile, edgefile):
nodes_to_skip = (
pd.read_... | analysis/_02_connectivity.py | import networkx as nx
import pandas as pd
from analysis.statics import YEARS
from analysis.utils import (get_basic_parser, get_country,
get_crossreference_path, get_node_and_edge_files)
def get_networkx_graph_components(basepath, nodefile, edgefile):
nodes_to_skip = (
pd.read_... | 0.446495 | 0.459137 |
import boto3
import json
import datetime
import argparse
import time
import logging
from awscrt import io
from awscrt.mqtt import Connection, Client, QoS
from awscrt import awsiot_mqtt_connection_builder
from station_sim import *
logging.basicConfig(level=logging.DEBUG,
format='%(filename)s: '
... | iot_device_simulator/iot_device_simulator.py | import boto3
import json
import datetime
import argparse
import time
import logging
from awscrt import io
from awscrt.mqtt import Connection, Client, QoS
from awscrt import awsiot_mqtt_connection_builder
from station_sim import *
logging.basicConfig(level=logging.DEBUG,
format='%(filename)s: '
... | 0.286868 | 0.072112 |
import time
import numpy as np
import gpflow
import itertools
import CMGDB
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
from matplotlib.collections import PatchCollection
from sklearn.gaussian_process import GaussianProcessRegressor
from sklearn.gaussian_process.kernels import RBF, WhiteKern... | Archive/mg.py | import time
import numpy as np
import gpflow
import itertools
import CMGDB
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
from matplotlib.collections import PatchCollection
from sklearn.gaussian_process import GaussianProcessRegressor
from sklearn.gaussian_process.kernels import RBF, WhiteKern... | 0.750278 | 0.471162 |
from math import sqrt
import random
from MapGame import *
from AbsShip import *
from Points import *
from Difficulity import Probabilities
class Calc():
@staticmethod
def surrounding(pos):
'''
Return the complete set of
points surrounding a piece.
Sanity checking is not perfor... | Calculators.py | from math import sqrt
import random
from MapGame import *
from AbsShip import *
from Points import *
from Difficulity import Probabilities
class Calc():
@staticmethod
def surrounding(pos):
'''
Return the complete set of
points surrounding a piece.
Sanity checking is not perfor... | 0.496582 | 0.34065 |
from Configs.app_config import app, db
from flask import render_template, request, flash, redirect
from Classes.Asset_Class import AssetsData
from Classes.People_Class import People
from Classes.Roles import Roles
customer_name= AssetsData.query.filter_by(name='test').all()
@app.route('/', methods=['GET', 'POST'])
... | Real_Estate/Asset_Form.py | from Configs.app_config import app, db
from flask import render_template, request, flash, redirect
from Classes.Asset_Class import AssetsData
from Classes.People_Class import People
from Classes.Roles import Roles
customer_name= AssetsData.query.filter_by(name='test').all()
@app.route('/', methods=['GET', 'POST'])
... | 0.358578 | 0.073297 |