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 random
import unittest
from copy import deepcopy
from unittest import TestCase
import numpy as np
from learn2learn.data import MetaDataset, TaskGenerator
from .util_datasets import TestDatasets
class TestTaskGenerator(TestCase):
@classmethod
def setUpClass(cls) -> None:
cls.ds = TestDatasets(... | tests/unit/task_generator/task_generator_test.py | import random
import unittest
from copy import deepcopy
from unittest import TestCase
import numpy as np
from learn2learn.data import MetaDataset, TaskGenerator
from .util_datasets import TestDatasets
class TestTaskGenerator(TestCase):
@classmethod
def setUpClass(cls) -> None:
cls.ds = TestDatasets(... | 0.482429 | 0.606469 |
schema = {
"$schema": "http://json-schema.org/draft-06/schema#",
"$comment": "Definition of the custom exchange with price data included in the specified CSV file.",
"type": "object",
"properties": {
"baseAsset": {
"$comment": "Base asset of the pair in the input CSV file, e.g. BTC, ETH, XLM, ADA, ...",
"t... | creten/json_schemas/DbExchangeSchema.py | schema = {
"$schema": "http://json-schema.org/draft-06/schema#",
"$comment": "Definition of the custom exchange with price data included in the specified CSV file.",
"type": "object",
"properties": {
"baseAsset": {
"$comment": "Base asset of the pair in the input CSV file, e.g. BTC, ETH, XLM, ADA, ...",
"t... | 0.507812 | 0.430506 |
import enum
import logging
import threading
import time
from grpc._adapter import _common
from grpc._adapter import _intermediary_low as _low
from grpc.framework.base import interfaces as base_interfaces
from grpc.framework.base import null
from grpc.framework.foundation import activated
from grpc.framework.foundation... | src/python/src/grpc/_adapter/fore.py | import enum
import logging
import threading
import time
from grpc._adapter import _common
from grpc._adapter import _intermediary_low as _low
from grpc.framework.base import interfaces as base_interfaces
from grpc.framework.base import null
from grpc.framework.foundation import activated
from grpc.framework.foundation... | 0.546617 | 0.075687 |
from typing import List, Dict
import jc.utils
from jc.parsers.universal import simple_table_parse
from jc.exceptions import ParseError
class info():
"""Provides parser metadata (version, author, etc.)"""
version = '1.0'
description = '`pidstat` command parser'
author = '<NAME>'
author_email = '<EM... | jc/parsers/pidstat.py | from typing import List, Dict
import jc.utils
from jc.parsers.universal import simple_table_parse
from jc.exceptions import ParseError
class info():
"""Provides parser metadata (version, author, etc.)"""
version = '1.0'
description = '`pidstat` command parser'
author = '<NAME>'
author_email = '<EM... | 0.740737 | 0.357063 |
optimize = (
'Disabled', # = 0, // optimization disabled
'Complete', # = 1, // "Slow complete algorithm"
'Genetic', # = 2, // "Fast genetic based algorithm"
'AllSymbols' # = 3, // "All symbols selected in Market Watch"
)
optimize_crit = (
'Balance', # = 0, // the maximum ba... | backtestd/enums.py | optimize = (
'Disabled', # = 0, // optimization disabled
'Complete', # = 1, // "Slow complete algorithm"
'Genetic', # = 2, // "Fast genetic based algorithm"
'AllSymbols' # = 3, // "All symbols selected in Market Watch"
)
optimize_crit = (
'Balance', # = 0, // the maximum ba... | 0.551091 | 0.581303 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = [
'AssetFilterPresentationTimeRangeArgs',
'AssetFilterTrackSelectionArgs',
'AssetFilterTrackSelectionConditionArgs',
'ContentKeyPolicyPolicyOptio... | sdk/python/pulumi_azure/media/_inputs.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = [
'AssetFilterPresentationTimeRangeArgs',
'AssetFilterTrackSelectionArgs',
'AssetFilterTrackSelectionConditionArgs',
'ContentKeyPolicyPolicyOptio... | 0.897184 | 0.165357 |
from vyapp.panel import PanedVerticalWindow
from vyapp.areavi import AreaVi
from tkinter.ttk import Notebook
from tkinter import BOTH
import sys
class NoteVi(Notebook):
"""
This class implements vy tabs.
"""
def __init__(self, *args, **kwargs):
Notebook.__init__(self, *args, **kwargs)
... | vyapp/notebook.py | from vyapp.panel import PanedVerticalWindow
from vyapp.areavi import AreaVi
from tkinter.ttk import Notebook
from tkinter import BOTH
import sys
class NoteVi(Notebook):
"""
This class implements vy tabs.
"""
def __init__(self, *args, **kwargs):
Notebook.__init__(self, *args, **kwargs)
... | 0.433502 | 0.273392 |
from __future__ import unicode_literals, print_function
from six import text_type
import logging
from collections import namedtuple
import kazoo
from netaddr import IPNetwork, IPAddress, AddrFormatError
from contrail_api_cli.exceptions import CommandError, ResourceNotFound
from contrail_api_cli.utils import printo
f... | contrail_api_cli_extra/fix/fix_zk_ip.py | from __future__ import unicode_literals, print_function
from six import text_type
import logging
from collections import namedtuple
import kazoo
from netaddr import IPNetwork, IPAddress, AddrFormatError
from contrail_api_cli.exceptions import CommandError, ResourceNotFound
from contrail_api_cli.utils import printo
f... | 0.609524 | 0.097691 |
from abc import ABC
from torch import Tensor
import torch
import torch.nn as nn
from gpssm.models.components.utilities import inverse_softplus, safe_softplus
from gpytorch.distributions import MultivariateNormal
import copy
from typing import Any
__author__ = '<NAME>'
__all__ = ['Recognition', 'OutputRecognition', 'Z... | gpssm/models/components/recognition_model.py | from abc import ABC
from torch import Tensor
import torch
import torch.nn as nn
from gpssm.models.components.utilities import inverse_softplus, safe_softplus
from gpytorch.distributions import MultivariateNormal
import copy
from typing import Any
__author__ = '<NAME>'
__all__ = ['Recognition', 'OutputRecognition', 'Z... | 0.973152 | 0.688288 |
from qiskit import QuantumCircuit
from qiskit import QuantumRegister
from qiskit import ClassicalRegister
try:
from qft import create_qft_circuit
except ModuleNotFoundError:
from core.algorithms.qft import create_qft_circuit
try:
from counting import build_diffuser
except ModuleNotFoundError:
from cor... | app/core-service/core/algorithms/walk.py | from qiskit import QuantumCircuit
from qiskit import QuantumRegister
from qiskit import ClassicalRegister
try:
from qft import create_qft_circuit
except ModuleNotFoundError:
from core.algorithms.qft import create_qft_circuit
try:
from counting import build_diffuser
except ModuleNotFoundError:
from cor... | 0.462716 | 0.622287 |
from sklearn.pipeline import FeatureUnion
from sklearn import preprocessing
from sklearn.ensemble import GradientBoostingRegressor, RandomForestRegressor
import sklearn.linear_model
import img_to_pickle as i_p
import features as f
import classify
import pickle
import numpy as np
import pandas as pd
import datetime
imp... | script/repredict.py |
from sklearn.pipeline import FeatureUnion
from sklearn import preprocessing
from sklearn.ensemble import GradientBoostingRegressor, RandomForestRegressor
import sklearn.linear_model
import img_to_pickle as i_p
import features as f
import classify
import pickle
import numpy as np
import pandas as pd
import datetime
imp... | 0.401805 | 0.438304 |
import numpy as np
from numpy.linalg import multi_dot
from scipy import stats
from scipy.linalg import inv
from joblib import Parallel, delayed
from sklearn.utils.validation import check_memory
from sklearn.linear_model import Lasso
from .noise_std import reid, group_reid
from .stat_tools import pval_from_two_sided_pv... | hidimstat/desparsified_lasso.py | import numpy as np
from numpy.linalg import multi_dot
from scipy import stats
from scipy.linalg import inv
from joblib import Parallel, delayed
from sklearn.utils.validation import check_memory
from sklearn.linear_model import Lasso
from .noise_std import reid, group_reid
from .stat_tools import pval_from_two_sided_pv... | 0.900568 | 0.686977 |
from numpy import *
import math
import pickle
def v_angle(a,b):
"""
returns angle between two vectors coded as numpy.array
"""
ab=dot(a,b)
ab/=linalg.norm(a)*linalg.norm(b)
return math.degrees(math.acos(ab))
class UCell:
'''
Class to handle crystallographic basis and ... | transform.py | from numpy import *
import math
import pickle
def v_angle(a,b):
"""
returns angle between two vectors coded as numpy.array
"""
ab=dot(a,b)
ab/=linalg.norm(a)*linalg.norm(b)
return math.degrees(math.acos(ab))
class UCell:
'''
Class to handle crystallographic basis and ... | 0.676299 | 0.357539 |
__revision__ = "$Revision: 236 $"
import sys
sys.path.append(".")
from pywinauto.XMLHelpers import *
import unittest
class XMLHelperTestCases(unittest.TestCase):
"Unit tests for the ListViewWrapper class"
def setUp(self):
"""Actually does nothing!"""
pass
def tearDown(s... | win/pywinauto/unittests/test_XMLHelpers.py | __revision__ = "$Revision: 236 $"
import sys
sys.path.append(".")
from pywinauto.XMLHelpers import *
import unittest
class XMLHelperTestCases(unittest.TestCase):
"Unit tests for the ListViewWrapper class"
def setUp(self):
"""Actually does nothing!"""
pass
def tearDown(s... | 0.380068 | 0.345492 |
import tensorflow as tf
from blueoil.layers import batch_norm, conv2d
# TODO(wakisaka): should be replace to conv_bn_act().
def darknet(name, inputs, filters, kernel_size, is_training=tf.constant(False), activation=None, data_format="NHWC"):
"""Darknet19 block.
Do convolution, batch_norm, bias, leaky_relu a... | blueoil/blocks.py | import tensorflow as tf
from blueoil.layers import batch_norm, conv2d
# TODO(wakisaka): should be replace to conv_bn_act().
def darknet(name, inputs, filters, kernel_size, is_training=tf.constant(False), activation=None, data_format="NHWC"):
"""Darknet19 block.
Do convolution, batch_norm, bias, leaky_relu a... | 0.739234 | 0.459622 |
import unittest
from jinja2.runtime import Undefined
from dbt.adapters.databricks.relation import DatabricksRelation
class TestDatabricksRelation(unittest.TestCase):
def test_pre_deserialize(self):
data = {
"quote_policy": {"database": False, "schema": False, "identifier": False},
... | tests/unit/test_relation.py | import unittest
from jinja2.runtime import Undefined
from dbt.adapters.databricks.relation import DatabricksRelation
class TestDatabricksRelation(unittest.TestCase):
def test_pre_deserialize(self):
data = {
"quote_policy": {"database": False, "schema": False, "identifier": False},
... | 0.652684 | 0.438304 |
from pydantic import Field, constr
from typing import List, Union
from ._base import NoExtraBaseModel
from .altnumber import Autocalculate
class Outdoors(NoExtraBaseModel):
type: constr(regex='^Outdoors$') = 'Outdoors'
sun_exposure: bool = Field(
True,
description='A boolean noting whether ... | honeybee_schema/bc.py | from pydantic import Field, constr
from typing import List, Union
from ._base import NoExtraBaseModel
from .altnumber import Autocalculate
class Outdoors(NoExtraBaseModel):
type: constr(regex='^Outdoors$') = 'Outdoors'
sun_exposure: bool = Field(
True,
description='A boolean noting whether ... | 0.913802 | 0.487429 |
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import *
import sys,os,getpass,platform
import anki_addon_exporter
class MyApp(QtWidgets.QMainWindow, anki_addon_exporter.Ui_Dialog):
"""
A GUI class for the app
...
Constructor-Parameters
----------------------------
QtWidge... | macApp/dist/ankiExport.app/Contents/Resources/ankiExport.py | from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import *
import sys,os,getpass,platform
import anki_addon_exporter
class MyApp(QtWidgets.QMainWindow, anki_addon_exporter.Ui_Dialog):
"""
A GUI class for the app
...
Constructor-Parameters
----------------------------
QtWidge... | 0.450601 | 0.072112 |
from pysc2.agents import base_agent
from pysc2.lib import actions
from pysc2.lib import features
import time
import numpy
# Functions
_BUILD_BARRACKS = actions.FUNCTIONS.Build_Barracks_screen.id
_BUILD_SUPPLYDEPOT = actions.FUNCTIONS.Build_SupplyDepot_screen.id
_NOOP = actions.FUNCTIONS.no_op.id
_SELECT_POINT = actio... | experiments/cms_move_1_rand_s_v1.py | from pysc2.agents import base_agent
from pysc2.lib import actions
from pysc2.lib import features
import time
import numpy
# Functions
_BUILD_BARRACKS = actions.FUNCTIONS.Build_Barracks_screen.id
_BUILD_SUPPLYDEPOT = actions.FUNCTIONS.Build_SupplyDepot_screen.id
_NOOP = actions.FUNCTIONS.no_op.id
_SELECT_POINT = actio... | 0.465873 | 0.274956 |
from __future__ import absolute_import
__all__ = ('Widget', 'TextWidget', 'ChoiceWidget')
from django.utils.safestring import mark_safe
from django.utils.html import escape
class Widget(object):
def __init__(self, filter, request):
self.filter = filter
self.request = request
def get_query_s... | src/sentry/filters/widgets.py | from __future__ import absolute_import
__all__ = ('Widget', 'TextWidget', 'ChoiceWidget')
from django.utils.safestring import mark_safe
from django.utils.html import escape
class Widget(object):
def __init__(self, filter, request):
self.filter = filter
self.request = request
def get_query_s... | 0.532425 | 0.089893 |
import contextlib
import boto3
import botocore.exceptions
from botocore.config import Config
from flask import current_app
boto3_config = Config(
retries={
"max_attempts": 5,
"mode": "standard",
}
)
def get_client_kwargs(app=current_app):
return {
"endpoint_url": app.config.get("... | vulnerable_people_form/integrations/persistence.py | import contextlib
import boto3
import botocore.exceptions
from botocore.config import Config
from flask import current_app
boto3_config = Config(
retries={
"max_attempts": 5,
"mode": "standard",
}
)
def get_client_kwargs(app=current_app):
return {
"endpoint_url": app.config.get("... | 0.370795 | 0.087486 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import queue
import os
from time import sleep
import dataset_loading as dl
import pytest
MAX_TIMEOUT = 0.1 # 50 ms
TEST_BASE = os.path.dirname(os.path.realpath(__file__))
PACKAGE_BASE = os... | tests/test_core.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import queue
import os
from time import sleep
import dataset_loading as dl
import pytest
MAX_TIMEOUT = 0.1 # 50 ms
TEST_BASE = os.path.dirname(os.path.realpath(__file__))
PACKAGE_BASE = os... | 0.508788 | 0.223441 |
import patch
import dash_devices
from dash_devices.dependencies import Input, Output, State
import dash_html_components as html
import dash_core_components as dcc
import plotly.express as px
from threading import Timer
from websocket import create_connection
from datetime import datetime
import logging as log
from ... | dashboard/plant_dash/dashboard.py | import patch
import dash_devices
from dash_devices.dependencies import Input, Output, State
import dash_html_components as html
import dash_core_components as dcc
import plotly.express as px
from threading import Timer
from websocket import create_connection
from datetime import datetime
import logging as log
from ... | 0.436982 | 0.054575 |
import copy
from decimal import Decimal
import pytest
from django_scopes import scopes_disabled
from pretix.base.models import GiftCard
@pytest.fixture
def giftcard(organizer, event):
gc = organizer.issued_gift_cards.create(secret="ABCDEF", currency="EUR")
gc.transactions.create(value=Decimal('23.00'))
... | src/tests/api/test_giftcards.py | import copy
from decimal import Decimal
import pytest
from django_scopes import scopes_disabled
from pretix.base.models import GiftCard
@pytest.fixture
def giftcard(organizer, event):
gc = organizer.issued_gift_cards.create(secret="ABCDEF", currency="EUR")
gc.transactions.create(value=Decimal('23.00'))
... | 0.481941 | 0.339034 |
import copy
from vitrage.common.constants import EntityCategory
from vitrage.common.constants import NotifierEventTypes as NType
from vitrage.common.constants import VertexProperties as VProps
from vitrage.datasources.nova.host import NOVA_HOST_DATASOURCE
from vitrage.entity_graph.processor.notifier import _get_notifi... | vitrage/tests/unit/notifier/test_notifier.py | import copy
from vitrage.common.constants import EntityCategory
from vitrage.common.constants import NotifierEventTypes as NType
from vitrage.common.constants import VertexProperties as VProps
from vitrage.datasources.nova.host import NOVA_HOST_DATASOURCE
from vitrage.entity_graph.processor.notifier import _get_notifi... | 0.532425 | 0.195613 |
import os
import pika
import requests
import pickle
from lando_messaging.workqueue import WorkQueueConfig, WorkQueueConnection
# Environment variable names
MESSAGE_QUEUE_HOST = "MESSAGE_QUEUE_HOST"
MESSAGE_QUEUE_USERNAME = "MESSAGE_QUEUE_USERNAME"
MESSAGE_QUEUE_PASSWORD = "MESSAGE_QUEUE_PASSWORD"
BESPIN_API_TOKEN = "B... | mailsender.py | import os
import pika
import requests
import pickle
from lando_messaging.workqueue import WorkQueueConfig, WorkQueueConnection
# Environment variable names
MESSAGE_QUEUE_HOST = "MESSAGE_QUEUE_HOST"
MESSAGE_QUEUE_USERNAME = "MESSAGE_QUEUE_USERNAME"
MESSAGE_QUEUE_PASSWORD = "MESSAGE_QUEUE_PASSWORD"
BESPIN_API_TOKEN = "B... | 0.466603 | 0.04952 |
from edu.uiowa.parser.LarkParser import pLTLParser
from edu.uiowa.parser.Formula import PLTLFormula
import logging
class Trace:
#Adopt the trace format suggested by <NAME> & Garvan
def __init__(self, data, Id, Lit = None):
self.Id = Id
self.traceVector = [[self.str2bool(var) for var in timeSt... | src/edu/uiowa/parser/Tracer.py | from edu.uiowa.parser.LarkParser import pLTLParser
from edu.uiowa.parser.Formula import PLTLFormula
import logging
class Trace:
#Adopt the trace format suggested by <NAME> & Garvan
def __init__(self, data, Id, Lit = None):
self.Id = Id
self.traceVector = [[self.str2bool(var) for var in timeSt... | 0.451085 | 0.282821 |
import json
import tempfile
import shutil
from os import path
from f5sdk import exceptions
from f5sdk.utils import http_utils
from ....global_test_imports import pytest, Mock, PropertyMock
from ....shared import constants
from ....shared import mock_utils
REQUESTS = constants.MOCK['requests']
EXAMPLE_VERSION_INFO =... | tests/unit/bigip/extension/test_extension.py |
import json
import tempfile
import shutil
from os import path
from f5sdk import exceptions
from f5sdk.utils import http_utils
from ....global_test_imports import pytest, Mock, PropertyMock
from ....shared import constants
from ....shared import mock_utils
REQUESTS = constants.MOCK['requests']
EXAMPLE_VERSION_INFO =... | 0.524638 | 0.208521 |
from django.core.management.utils import get_random_secret_key
import os
import logging.config
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = os.g... | do_classroom/settings.py | from django.core.management.utils import get_random_secret_key
import os
import logging.config
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = os.g... | 0.282295 | 0.109777 |
python_file_types = FileType(['.py', '.pyc'])
proto_file_types = FileType(['.proto'])
def collect_transitive_srcs(ctx):
transitive_srcs = depset(order="compile")
for dep in ctx.attr.deps:
transitive_srcs += dep.transitive_srcs
transitive_srcs += python_file_types.filter(ctx.files.srcs)
return ... | tools/build_rules/pex_rules.bzl | python_file_types = FileType(['.py', '.pyc'])
proto_file_types = FileType(['.proto'])
def collect_transitive_srcs(ctx):
transitive_srcs = depset(order="compile")
for dep in ctx.attr.deps:
transitive_srcs += dep.transitive_srcs
transitive_srcs += python_file_types.filter(ctx.files.srcs)
return ... | 0.373876 | 0.176352 |
from __future__ import annotations
import re
from typing import Any, Generic, Optional, TypeVar, Union
from .client import GUILD_ID_DEFAULT, GuildID
from .commands import (
ChildSlashCommand,
SlashCommandGroup,
SlashCommandSubGroup,
SlashSubCommand,
SlashSubCommandConstructor,
)
def class_name_t... | dslash/groups.py | from __future__ import annotations
import re
from typing import Any, Generic, Optional, TypeVar, Union
from .client import GUILD_ID_DEFAULT, GuildID
from .commands import (
ChildSlashCommand,
SlashCommandGroup,
SlashCommandSubGroup,
SlashSubCommand,
SlashSubCommandConstructor,
)
def class_name_t... | 0.92342 | 0.105625 |
import maya.OpenMaya as OpenMaya
import maya.cmds as cmds
import maya
import re
def repNameChanged(repNameControl):
"""
Callback invoked when the render settings UI control for the representation name regular expression text field changes.
"""
pass
def readFromGlobalsNode():
pass
def activateR... | python/maya/site-packages/pymel-1.0.5/extras/completion/py/maya/app/sceneAssembly/adskPrepareRender.py | import maya.OpenMaya as OpenMaya
import maya.cmds as cmds
import maya
import re
def repNameChanged(repNameControl):
"""
Callback invoked when the render settings UI control for the representation name regular expression text field changes.
"""
pass
def readFromGlobalsNode():
pass
def activateR... | 0.596551 | 0.389111 |
import logging
from pathlib import Path
import matplotlib.pyplot as plt
import motmetrics
import pandas as pd
from vvc import config
from vvc.detector import object_detection
from vvc.format import vvc_format
from vvc.tracker.iou_tracker import IOUTracker
from vvc.tracker.opencv_tracker import OpenCVTracker
from vvc.... | experiments/run_all_trackers.py | import logging
from pathlib import Path
import matplotlib.pyplot as plt
import motmetrics
import pandas as pd
from vvc import config
from vvc.detector import object_detection
from vvc.format import vvc_format
from vvc.tracker.iou_tracker import IOUTracker
from vvc.tracker.opencv_tracker import OpenCVTracker
from vvc.... | 0.604866 | 0.203529 |
from abc import abstractmethod, ABCMeta
from importlib import import_module
from beets.util.confit import ConfigValueError
from beets import ui
from beets.plugins import BeetsPlugin
METASYNC_MODULE = 'beetsplug.metasync'
# Dictionary to map the MODULE and the CLASS NAME of meta sources
SOURCES = {
'amarok': 'Am... | beetsplug/metasync/__init__.py | from abc import abstractmethod, ABCMeta
from importlib import import_module
from beets.util.confit import ConfigValueError
from beets import ui
from beets.plugins import BeetsPlugin
METASYNC_MODULE = 'beetsplug.metasync'
# Dictionary to map the MODULE and the CLASS NAME of meta sources
SOURCES = {
'amarok': 'Am... | 0.609408 | 0.148294 |
import logging
import sys
import os
from apscheduler.schedulers.tornado import TornadoScheduler
from apscheduler.jobstores.base import JobLookupError
from redis import from_url
from tornado import httpserver
from tornado.concurrent import run_on_executor
from concurrent.futures import ThreadPoolExecutor
from tornado im... | web_service/app.py | import logging
import sys
import os
from apscheduler.schedulers.tornado import TornadoScheduler
from apscheduler.jobstores.base import JobLookupError
from redis import from_url
from tornado import httpserver
from tornado.concurrent import run_on_executor
from concurrent.futures import ThreadPoolExecutor
from tornado im... | 0.284775 | 0.093719 |
r"""Implements Guided Integrated Gradients method.
This implementation of the method allows setting the maximum distance that
the Guided IG path can deviate from the straight-line path.
https://arxiv.org/abs/TBD
"""
from .base import CoreSaliency
from .base import INPUT_OUTPUT_GRADIENTS
import math
import numpy as... | saliency/core/guided_ig.py |
r"""Implements Guided Integrated Gradients method.
This implementation of the method allows setting the maximum distance that
the Guided IG path can deviate from the straight-line path.
https://arxiv.org/abs/TBD
"""
from .base import CoreSaliency
from .base import INPUT_OUTPUT_GRADIENTS
import math
import numpy as... | 0.958236 | 0.74389 |
from django.test import TestCase
from mock import patch
import httpretty
import requests
from notice_comment.docket import sanitize_fields
class SanitizeFieldsTest(TestCase):
def setUp(self):
self.patch_document_fields = patch(
'notice_comment.docket.get_document_fields')
mock_object ... | notice_comment/tests/docket_tests.py | from django.test import TestCase
from mock import patch
import httpretty
import requests
from notice_comment.docket import sanitize_fields
class SanitizeFieldsTest(TestCase):
def setUp(self):
self.patch_document_fields = patch(
'notice_comment.docket.get_document_fields')
mock_object ... | 0.620392 | 0.312645 |
import numpy as np
import torch
import torch.nn.functional as F
def masked_mse_loss(y_hat, y, mask):
loss_tensor = F.mse_loss(y_hat * mask, y * mask, reduction='none')
loss = torch.sum(loss_tensor) / (torch.sum(mask) + 1e-7)
return loss
def masked_wmse_loss(y_hat, y, mask, w):
loss_tensor = F.mse_lo... | vaemof/losses.py | import numpy as np
import torch
import torch.nn.functional as F
def masked_mse_loss(y_hat, y, mask):
loss_tensor = F.mse_loss(y_hat * mask, y * mask, reduction='none')
loss = torch.sum(loss_tensor) / (torch.sum(mask) + 1e-7)
return loss
def masked_wmse_loss(y_hat, y, mask, w):
loss_tensor = F.mse_lo... | 0.827515 | 0.776559 |
import pickle
import tables
import numpy as np
from sklearn.neighbors import KDTree
from scipy.interpolate import LinearNDInterpolator
def quads_from_corner_lookup(lon, lat, corner_points,
pixel_lon, pixel_lat, nadir_lon=0.0,
inflate=1.0):
"""
Given co... | glmtools/io/ccd.py | import pickle
import tables
import numpy as np
from sklearn.neighbors import KDTree
from scipy.interpolate import LinearNDInterpolator
def quads_from_corner_lookup(lon, lat, corner_points,
pixel_lon, pixel_lat, nadir_lon=0.0,
inflate=1.0):
"""
Given co... | 0.814791 | 0.619327 |
import unittest
import numpy
import pytest
import cupy
from cupy import testing
@testing.gpu
class TestTranspose(unittest.TestCase):
@testing.numpy_cupy_array_equal()
def test_moveaxis1(self, xp):
a = testing.shaped_arange((2, 3, 4), xp)
return xp.moveaxis(a, [0, 1], [1, 2])
@testing.n... | tests/cupy_tests/manipulation_tests/test_transpose.py | import unittest
import numpy
import pytest
import cupy
from cupy import testing
@testing.gpu
class TestTranspose(unittest.TestCase):
@testing.numpy_cupy_array_equal()
def test_moveaxis1(self, xp):
a = testing.shaped_arange((2, 3, 4), xp)
return xp.moveaxis(a, [0, 1], [1, 2])
@testing.n... | 0.59796 | 0.757144 |
import os
prefix_1 = 'TrimedSession'
prefix_1_1 = prefix_1 +'/Train/'
prefix_1_2 = prefix_1 +'/Test/'
prefix_2 = 'TrimedSession_5'
prefix_2_1 = prefix_2 +'/Train/'
prefix_2_2 = prefix_2 +'/Test/'
#ad-ALL be-ALL ra-ALL sc-ALL sms-ALL
paths = ['ad-ALL/','be-ALL/','sc-ALL/','sms-ALL/','ra-ALL/']
print("Preparing train... | network_traffic/create_data/findout.py | import os
prefix_1 = 'TrimedSession'
prefix_1_1 = prefix_1 +'/Train/'
prefix_1_2 = prefix_1 +'/Test/'
prefix_2 = 'TrimedSession_5'
prefix_2_1 = prefix_2 +'/Train/'
prefix_2_2 = prefix_2 +'/Test/'
#ad-ALL be-ALL ra-ALL sc-ALL sms-ALL
paths = ['ad-ALL/','be-ALL/','sc-ALL/','sms-ALL/','ra-ALL/']
print("Preparing train... | 0.059197 | 0.126057 |
import torch
import os
import sys
import urllib.request
import zipfile
from glob import glob
import scipy.io as sio
def download_modelnet_category(modelnet_location):
r"""Downloads a modelnet category to a specified direcotry
You may complete this function to automate downloading from a
central source.
... | kaolin/datasets/modelnet.py |
import torch
import os
import sys
import urllib.request
import zipfile
from glob import glob
import scipy.io as sio
def download_modelnet_category(modelnet_location):
r"""Downloads a modelnet category to a specified direcotry
You may complete this function to automate downloading from a
central source.
... | 0.487795 | 0.315657 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import argparse
_desc_message = """
Convolutional Sentence Encoder -- sentence embeddings are the output
of a convolutional layer applied to a sentence's word embeddings.
Output of each convolutional filter is concatenated and fed through... | summarize/nnsum/nnsum/module/sentence_encoder/cnn_sentence_encoder.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import argparse
_desc_message = """
Convolutional Sentence Encoder -- sentence embeddings are the output
of a convolutional layer applied to a sentence's word embeddings.
Output of each convolutional filter is concatenated and fed through... | 0.92523 | 0.429609 |
from manubot.cite.citekey import standardize_citekey, infer_citekey_prefix, is_valid_citekey
def csl_item_set_standard_id(csl_item):
"""
Extract the standard_id (standard citation key) for a csl_item and modify the csl_item in-place to set its "id" field.
The standard_id is extracted from a "standard_cita... | manubot/cite/csl_item.py | from manubot.cite.citekey import standardize_citekey, infer_citekey_prefix, is_valid_citekey
def csl_item_set_standard_id(csl_item):
"""
Extract the standard_id (standard citation key) for a csl_item and modify the csl_item in-place to set its "id" field.
The standard_id is extracted from a "standard_cita... | 0.419886 | 0.431644 |
import argparse
import asyncio
import datetime
import json
import logging
import logging.config
import time
from picamera_mqtt import deploy
from picamera_mqtt.imaging import imaging
from picamera_mqtt.mqtt_clients import AsyncioClient, message_string_encoding
from picamera_mqtt.protocol import (
control_topic, d... | picamera_mqtt/imaging/mqtt_client_camera.py |
import argparse
import asyncio
import datetime
import json
import logging
import logging.config
import time
from picamera_mqtt import deploy
from picamera_mqtt.imaging import imaging
from picamera_mqtt.mqtt_clients import AsyncioClient, message_string_encoding
from picamera_mqtt.protocol import (
control_topic, d... | 0.624064 | 0.093017 |
import struct
import os
from .base import FirmwareObject, RawObject, BaseObject, AutoRawObject
from .uefi import FirmwareVolume
from .utils import print_error, dump_data, sguid, green, blue
PFS_GUIDS = {
"FIRMWARE_VOLUMES": "7ec6c2b0-3fe3-42a0-a316-22dd0517c1e8",
"INTEL_ME": "7439ed9e-70d3-4b65-9e33-... | uefi_firmware/pfs.py | import struct
import os
from .base import FirmwareObject, RawObject, BaseObject, AutoRawObject
from .uefi import FirmwareVolume
from .utils import print_error, dump_data, sguid, green, blue
PFS_GUIDS = {
"FIRMWARE_VOLUMES": "7ec6c2b0-3fe3-42a0-a316-22dd0517c1e8",
"INTEL_ME": "7439ed9e-70d3-4b65-9e33-... | 0.476336 | 0.166574 |
from colorama import Fore, init
init()
# type hints and annotations.
from logistics.plugins.metaclass import Meta
# imports all data types.
from logistics.plugins.types import *
# package.
class MonteCarlo:
'''
(OBJECT INFO)
-------------
eg. MonteCarlo = vandal.MonteCarlo()
... | vandal/objects/montecarlo.py | from colorama import Fore, init
init()
# type hints and annotations.
from logistics.plugins.metaclass import Meta
# imports all data types.
from logistics.plugins.types import *
# package.
class MonteCarlo:
'''
(OBJECT INFO)
-------------
eg. MonteCarlo = vandal.MonteCarlo()
... | 0.635336 | 0.548371 |
import weakref
from .core import CProxyType, CProxy, InvalidAddressSpaceError
from .void import CVoidType
from ..address_space import AddressSpace
from typing import Union, TextIO, List
from functools import partial
class CFuncType(CProxyType):
PRECEDENCE = 20
def __init__(self, returns:CProxyType=None, arg... | headlock/c_data_model/function.py | import weakref
from .core import CProxyType, CProxy, InvalidAddressSpaceError
from .void import CVoidType
from ..address_space import AddressSpace
from typing import Union, TextIO, List
from functools import partial
class CFuncType(CProxyType):
PRECEDENCE = 20
def __init__(self, returns:CProxyType=None, arg... | 0.652131 | 0.194387 |
from __future__ import print_function
import os
import json
import random
import h5py
import numpy as np
class GenerateSampleCoords(object): # pylint: disable=too-few-public-methods
"""
Generate a sample 3D models file if one does not exist
"""
@staticmethod
def main(): # pylint: disable=too-... | dm_generator/GenerateSampleCoords.py | from __future__ import print_function
import os
import json
import random
import h5py
import numpy as np
class GenerateSampleCoords(object): # pylint: disable=too-few-public-methods
"""
Generate a sample 3D models file if one does not exist
"""
@staticmethod
def main(): # pylint: disable=too-... | 0.493653 | 0.264289 |
from ast import literal_eval
from distutils.util import strtobool
import logging
import os
import random
import shutil
import sys
from typing import Any, FrozenSet, List, Optional
import numpy as np
import pkg_resources
import tensorflow as tf
from seqgra import ModelSize
from seqgra.learner import Learner
from seqgr... | seqgra/learner/tensorflow/kerashelper.py | from ast import literal_eval
from distutils.util import strtobool
import logging
import os
import random
import shutil
import sys
from typing import Any, FrozenSet, List, Optional
import numpy as np
import pkg_resources
import tensorflow as tf
from seqgra import ModelSize
from seqgra.learner import Learner
from seqgr... | 0.645567 | 0.18999 |
from .. import utils
from .scatter import _ScatterParams
from .tools import generate_colorbar
from .tools import generate_legend
from .tools import label_axis
from .utils import _get_figure
from .utils import _with_default
from .utils import parse_fontsize
from .utils import show
from .utils import temp_fontsize
impor... | scprep/plot/jitter.py | from .. import utils
from .scatter import _ScatterParams
from .tools import generate_colorbar
from .tools import generate_legend
from .tools import label_axis
from .utils import _get_figure
from .utils import _with_default
from .utils import parse_fontsize
from .utils import show
from .utils import temp_fontsize
impor... | 0.87982 | 0.42185 |
import sys
from lib.build_job import *
# 新平台加入, 在 lib/config.py 加入新平台的流程, 并在 job_dict 加入key即可
job_dict = {
'test1': test1 ,
'test2': test2 ,
'test3': test3 ,
'test_api': test_api ,
'test_hot_job_list': test_hot_job_list ,
'andriod_test_job_list': andriod_test_job_li... | lib/Run.py |
import sys
from lib.build_job import *
# 新平台加入, 在 lib/config.py 加入新平台的流程, 并在 job_dict 加入key即可
job_dict = {
'test1': test1 ,
'test2': test2 ,
'test3': test3 ,
'test_api': test_api ,
'test_hot_job_list': test_hot_job_list ,
'andriod_test_job_list': andriod_test_job_li... | 0.081465 | 0.054777 |
from knack.help_files import helps # pylint: disable=unused-import
helps['container'] = """
type: group
short-summary: (PREVIEW) Manage Azure Container Instances.
"""
helps['container create'] = """
type: command
short-summary: Create a container group.
examples:
- name: Create a contai... | src/command_modules/azure-cli-container/azure/cli/command_modules/container/_help.py |
from knack.help_files import helps # pylint: disable=unused-import
helps['container'] = """
type: group
short-summary: (PREVIEW) Manage Azure Container Instances.
"""
helps['container create'] = """
type: command
short-summary: Create a container group.
examples:
- name: Create a contai... | 0.540196 | 0.147801 |
import os
import pytest
from dvc.exceptions import DownloadError, UploadError
from dvc.remote.base import BaseRemote
from dvc.remote.index import RemoteIndex
from dvc.remote.local import LocalRemote, LocalRemoteTree
from dvc.utils.fs import remove
@pytest.fixture(scope="function")
def remote(tmp_dir, dvc, tmp_path_... | tests/func/remote/test_index.py | import os
import pytest
from dvc.exceptions import DownloadError, UploadError
from dvc.remote.base import BaseRemote
from dvc.remote.index import RemoteIndex
from dvc.remote.local import LocalRemote, LocalRemoteTree
from dvc.utils.fs import remove
@pytest.fixture(scope="function")
def remote(tmp_dir, dvc, tmp_path_... | 0.427755 | 0.252995 |
from .config import *
from .activations_autofn import *
from .activations_jit import *
from .activations import *
_ACT_FN_DEFAULT = dict(
swish=swish,
mish=mish,
relu=F.relu,
relu6=F.relu6,
sigmoid=sigmoid,
tanh=tanh,
hard_sigmoid=hard_sigmoid,
hard_swish=hard_swish,
)
_ACT_FN_AUTO = ... | models/activations/__init__.py | from .config import *
from .activations_autofn import *
from .activations_jit import *
from .activations import *
_ACT_FN_DEFAULT = dict(
swish=swish,
mish=mish,
relu=F.relu,
relu6=F.relu6,
sigmoid=sigmoid,
tanh=tanh,
hard_sigmoid=hard_sigmoid,
hard_swish=hard_swish,
)
_ACT_FN_AUTO = ... | 0.588653 | 0.143788 |
import os
import re
import time
import pickle
import random
import datetime
import requests
from tqdm import tqdm
HEADER = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) \
AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36'}
class Scraper():
'''
Scrapes a list of we... | samssimplescraper/scraper.py | import os
import re
import time
import pickle
import random
import datetime
import requests
from tqdm import tqdm
HEADER = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) \
AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36'}
class Scraper():
'''
Scrapes a list of we... | 0.345768 | 0.099821 |
# salttran contains tasks involving the transformation of images
import saltprint
import numpy, pyfits
from salterror import SaltError
# -----------------------------------------------------------
# Embed an array in a larger array
def embed(arr, x0, y0, emarr):
"""Directly embed a 2-D array into a larger arra... | lib/salttran.py |
# salttran contains tasks involving the transformation of images
import saltprint
import numpy, pyfits
from salterror import SaltError
# -----------------------------------------------------------
# Embed an array in a larger array
def embed(arr, x0, y0, emarr):
"""Directly embed a 2-D array into a larger arra... | 0.367043 | 0.405449 |
import sys
from collections import OrderedDict
import torch.nn as nn
import torch
import functools
def conv3x3(in_planes, out_planes, stride=1):
"""3x3 convolution with padding"""
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
padding=1, bias=False)
def conv1x1(in_... | mono_and_depth_image_attitude_estimator/pycode/common/net_util.py | import sys
from collections import OrderedDict
import torch.nn as nn
import torch
import functools
def conv3x3(in_planes, out_planes, stride=1):
"""3x3 convolution with padding"""
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
padding=1, bias=False)
def conv1x1(in_... | 0.922369 | 0.553566 |
import numpy as np
from calamari_ocr.ocr.dataset.textprocessors import synchronize
from calamari_ocr.ocr.voting.voter import Voter
class SequenceVoter(Voter):
def __init__(self, optimize=False, n_best=3):
super().__init__()
self.optimize = optimize
self.n_best = n_best
def _apply_vot... | calamari_ocr/ocr/voting/sequence_voter.py | import numpy as np
from calamari_ocr.ocr.dataset.textprocessors import synchronize
from calamari_ocr.ocr.voting.voter import Voter
class SequenceVoter(Voter):
def __init__(self, optimize=False, n_best=3):
super().__init__()
self.optimize = optimize
self.n_best = n_best
def _apply_vot... | 0.605682 | 0.342352 |
import logging
import re
import os
import glob
import makelib as ml
def allfuncs ():
return { "wildcard" : wildcard,
"firstword" : firstword,
"lastword" : lastword,
"dir" : mkfdir,
"patsubst" : patsubst }
def wildcard (args, context):
if len(args) != 1:
... | make/makefuncs.py | import logging
import re
import os
import glob
import makelib as ml
def allfuncs ():
return { "wildcard" : wildcard,
"firstword" : firstword,
"lastword" : lastword,
"dir" : mkfdir,
"patsubst" : patsubst }
def wildcard (args, context):
if len(args) != 1:
... | 0.14442 | 0.188548 |
from domonic.html import closed_tag
from domonic.dom import Element
x3d = X3D = type('x3d', (Element,), {'name': 'x3d'})
scene = Scene = type('scene', (Element,), {'name': 'scene'})
material = Material = type('material', (Element,), {'name': 'material'})
appearance = Appearance = type('appearance', (Element,), {'name... | domonic/xml/x3d.py | from domonic.html import closed_tag
from domonic.dom import Element
x3d = X3D = type('x3d', (Element,), {'name': 'x3d'})
scene = Scene = type('scene', (Element,), {'name': 'scene'})
material = Material = type('material', (Element,), {'name': 'material'})
appearance = Appearance = type('appearance', (Element,), {'name... | 0.405449 | 0.118283 |
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
crashPath = "crashfile.txt"
drone1Path = "drone1file.txt"
drone2Path = "drone2file.txt"
crashSitesX = []
crashSitesY = []
crashSitesZ = []
drone1Start = []
drone1X = []
drone1Y = []
dron... | drone_decon/src/plot.py | import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
crashPath = "crashfile.txt"
drone1Path = "drone1file.txt"
drone2Path = "drone2file.txt"
crashSitesX = []
crashSitesY = []
crashSitesZ = []
drone1Start = []
drone1X = []
drone1Y = []
dron... | 0.204025 | 0.547464 |
import argparse
import datetime
import io
import itertools
import json
from pathlib import Path
import webdataset as wds
import numpy as np
import pandas as pd
import PIL
import torchvision.transforms as transforms
from PIL import Image
from torch.utils.data import DataLoader, Dataset, Subset
from tqdm import tqdm
t... | scripts/computestats.py | import argparse
import datetime
import io
import itertools
import json
from pathlib import Path
import webdataset as wds
import numpy as np
import pandas as pd
import PIL
import torchvision.transforms as transforms
from PIL import Image
from torch.utils.data import DataLoader, Dataset, Subset
from tqdm import tqdm
t... | 0.6705 | 0.51751 |
import os
from cs50 import SQL
from flask import Flask, flash, redirect, render_template, request, session
from flask_session import Session
from tempfile import mkdtemp
from werkzeug.exceptions import default_exceptions, HTTPException, InternalServerError
from werkzeug.security import check_password_hash, generate_pa... | application.py | import os
from cs50 import SQL
from flask import Flask, flash, redirect, render_template, request, session
from flask_session import Session
from tempfile import mkdtemp
from werkzeug.exceptions import default_exceptions, HTTPException, InternalServerError
from werkzeug.security import check_password_hash, generate_pa... | 0.46223 | 0.057573 |
import numpy as np
import os
import paddle.fluid as fluid
import logging
from collections import defaultdict
logging.basicConfig(format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger("fluid")
logger.setLevel(logging.INFO)
all_field_id = ['101', '109_14', '110_14', '127_14', '150_14', '121', ... | PaddleRec/multi_task/esmm/utils.py | import numpy as np
import os
import paddle.fluid as fluid
import logging
from collections import defaultdict
logging.basicConfig(format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger("fluid")
logger.setLevel(logging.INFO)
all_field_id = ['101', '109_14', '110_14', '127_14', '150_14', '121', ... | 0.223123 | 0.113678 |
from utils.ast import *
from utils import visitor
from utils.errors import *
from semantic.tools import *
from semantic.types import *
from utils.utils import Utils
class TypeChecker:
def __init__(self, context:Context, errors=[]):
self.context:Context = context
self.errors:list = errors
se... | src/semantic/visitors/type_checker.py | from utils.ast import *
from utils import visitor
from utils.errors import *
from semantic.tools import *
from semantic.types import *
from utils.utils import Utils
class TypeChecker:
def __init__(self, context:Context, errors=[]):
self.context:Context = context
self.errors:list = errors
se... | 0.416559 | 0.234746 |
import mechanize
from bs4 import BeautifulSoup
import re,string
from collections import defaultdict
from bugger.util import levenshtein
from bugger.exceptions import *
class Mantis(object):
texts = {"access_denied": re.compile("Your account may be disabled or blocked or the username/password you entered is incorrect."... | bugger/backends/mantis.py | import mechanize
from bs4 import BeautifulSoup
import re,string
from collections import defaultdict
from bugger.util import levenshtein
from bugger.exceptions import *
class Mantis(object):
texts = {"access_denied": re.compile("Your account may be disabled or blocked or the username/password you entered is incorrect."... | 0.294418 | 0.073264 |
import os
from pathlib import Path
import shutil
import subprocess
from resource import setrlimit, RLIMIT_CORE, RLIM_INFINITY
import typing as t
from _madvise import madvise, _madv_dontdump
def fork_and_abort():
pid = os.fork()
if pid == 0:
# child process calls abort(), creating a core dump (if enabl... | python/madv_dontdump/repro.py | import os
from pathlib import Path
import shutil
import subprocess
from resource import setrlimit, RLIMIT_CORE, RLIM_INFINITY
import typing as t
from _madvise import madvise, _madv_dontdump
def fork_and_abort():
pid = os.fork()
if pid == 0:
# child process calls abort(), creating a core dump (if enabl... | 0.438064 | 0.096408 |
import os
import requests
import string
import random
from pandas import DataFrame, Series
import dna.logging
log = dna.logging.logger(__name__)
def _clean_pairs(pairs):
if not isinstance(pairs, list):
pairs = [pairs]
return ','.join(map(str.upper, pairs))
def _fx_mapping(raw_rates):
''' Map ra... | intuition/data/forex.py | import os
import requests
import string
import random
from pandas import DataFrame, Series
import dna.logging
log = dna.logging.logger(__name__)
def _clean_pairs(pairs):
if not isinstance(pairs, list):
pairs = [pairs]
return ','.join(map(str.upper, pairs))
def _fx_mapping(raw_rates):
''' Map ra... | 0.445288 | 0.171998 |
from typing import (
Tuple,
)
import random
import torch
import numpy
from utils_types import (
BatchAction,
BatchDone,
BatchNext,
BatchReward,
BatchState,
TensorStack5,
TorchDevice,
)
class SumTree:
write = 0
def __init__(self, channels, capacity, device):
self.capac... | per-duel-dqn/utils_memory.py | from typing import (
Tuple,
)
import random
import torch
import numpy
from utils_types import (
BatchAction,
BatchDone,
BatchNext,
BatchReward,
BatchState,
TensorStack5,
TorchDevice,
)
class SumTree:
write = 0
def __init__(self, channels, capacity, device):
self.capac... | 0.824073 | 0.288895 |
import pandas as pd
import requests
from io import StringIO
def main(hotel_url, output_path, type='train'):
"""
:param hotel_url: link for the data to be downloaded from
:param output_path: relative path where the cleaned data will be saved
:param type: train if the data to be cleaned contains the tar... | clean.py | import pandas as pd
import requests
from io import StringIO
def main(hotel_url, output_path, type='train'):
"""
:param hotel_url: link for the data to be downloaded from
:param output_path: relative path where the cleaned data will be saved
:param type: train if the data to be cleaned contains the tar... | 0.542863 | 0.514522 |
from __future__ import unicode_literals, print_function, absolute_import, division
import logging, logging.handlers
import sys
import os
import atexit
import errno
import signal
import pwd
from ConfigParser import RawConfigParser
from .sniffer import get_sniffer
from .daemon import drop_privileges, write_pid, daemoni... | amadash/main.py | from __future__ import unicode_literals, print_function, absolute_import, division
import logging, logging.handlers
import sys
import os
import atexit
import errno
import signal
import pwd
from ConfigParser import RawConfigParser
from .sniffer import get_sniffer
from .daemon import drop_privileges, write_pid, daemoni... | 0.310694 | 0.054399 |
u'''MCL Site Knowledge — Utilities.'''
from Products.CMFCore.interfaces import IFolderish
from Products.CMFCore.WorkflowCore import WorkflowException
from plone.app.dexterity.behaviors.exclfromnav import IExcludeFromNavigation
from zope.event import notify
from zope.lifecycleevent import modified
import plone.api
... | src/jpl/mcl/site/knowledge/_utils.py |
u'''MCL Site Knowledge — Utilities.'''
from Products.CMFCore.interfaces import IFolderish
from Products.CMFCore.WorkflowCore import WorkflowException
from plone.app.dexterity.behaviors.exclfromnav import IExcludeFromNavigation
from zope.event import notify
from zope.lifecycleevent import modified
import plone.api
... | 0.513912 | 0.153644 |
import datetime as dt
import blpapi
import logging
from .BbgRefDataService import BbgRefDataService
import pandas as pd
import numpy as np
from . import BbgLogger
import pytz
from tzlocal import get_localzone
logger = BbgLogger.logger
SECURITY_DATA = blpapi.Name("securityData")
SECURITY = blpapi.Name("security")
FIEL... | BloombergData/bbgIntradayBar.py | import datetime as dt
import blpapi
import logging
from .BbgRefDataService import BbgRefDataService
import pandas as pd
import numpy as np
from . import BbgLogger
import pytz
from tzlocal import get_localzone
logger = BbgLogger.logger
SECURITY_DATA = blpapi.Name("securityData")
SECURITY = blpapi.Name("security")
FIEL... | 0.656768 | 0.353875 |
from litex.build.generic_platform import *
from litex.build.altera import AlteraPlatform
from litex.build.altera.programmer import USBBlaster
# IOs ----------------------------------------------------------------------------------------------
_io = [
("clk50", 0, Pins("R8"), IOStandard("3.3-V LVTTL")),
("us... | litex_boards/platforms/de0nano.py |
from litex.build.generic_platform import *
from litex.build.altera import AlteraPlatform
from litex.build.altera.programmer import USBBlaster
# IOs ----------------------------------------------------------------------------------------------
_io = [
("clk50", 0, Pins("R8"), IOStandard("3.3-V LVTTL")),
("us... | 0.402392 | 0.235394 |
from flask import Blueprint, flash, redirect, render_template, request, url_for, session, jsonify, current_app
from flask_login import current_user, login_required, login_user, logout_user
from werkzeug.utils import secure_filename
from functools import wraps
import os
import config
from wiki.web.forms import EditorFo... | wiki/web/routes.py | from flask import Blueprint, flash, redirect, render_template, request, url_for, session, jsonify, current_app
from flask_login import current_user, login_required, login_user, logout_user
from werkzeug.utils import secure_filename
from functools import wraps
import os
import config
from wiki.web.forms import EditorFo... | 0.332635 | 0.054174 |
from __future__ import unicode_literals
from datetime import timedelta
from django.db import models
from django.core.urlresolvers import reverse
from django.utils.translation import ugettext_lazy as _
from django.utils import timezone
from django.conf import settings
from ..core.utils.models import AutoSlugField
c... | spirit/user/models.py |
from __future__ import unicode_literals
from datetime import timedelta
from django.db import models
from django.core.urlresolvers import reverse
from django.utils.translation import ugettext_lazy as _
from django.utils import timezone
from django.conf import settings
from ..core.utils.models import AutoSlugField
c... | 0.669096 | 0.103976 |
from __future__ import absolute_import, unicode_literals, print_function
def __virtual__():
'''
Only load if the postgres module is present
'''
if 'postgres.default_privileges_grant' not in __salt__:
return (False, 'Unable to load postgres module. Make sure `postgres.bins_dir` is set.')
r... | salt/states/postgres_default_privileges.py | from __future__ import absolute_import, unicode_literals, print_function
def __virtual__():
'''
Only load if the postgres module is present
'''
if 'postgres.default_privileges_grant' not in __salt__:
return (False, 'Unable to load postgres module. Make sure `postgres.bins_dir` is set.')
r... | 0.734881 | 0.131118 |
from freezegun import freeze_time
import pytest
from McAfee_ESM_v2 import *
from McAfee_ESM_v2 import McAfeeESMClient
list_test_filtering_incidents = [
{'id': 3},
{'id': 1},
{'id': 5},
{'id': 4},
{'id': 0},
{'id': 2}
]
data_test_filtering_incidents = [
(
(
0, 0
)... | Packs/McAfee_ESM/Integrations/McAfee_ESM_v2/McAfee_ESM_v2_test.py | from freezegun import freeze_time
import pytest
from McAfee_ESM_v2 import *
from McAfee_ESM_v2 import McAfeeESMClient
list_test_filtering_incidents = [
{'id': 3},
{'id': 1},
{'id': 5},
{'id': 4},
{'id': 0},
{'id': 2}
]
data_test_filtering_incidents = [
(
(
0, 0
)... | 0.298798 | 0.450118 |
import antialiased_cnns
from satflow.models.layers.RUnetLayers import *
import pytorch_lightning as pl
import torchvision
from typing import Union
from nowcasting_utils.models.base import register_model
from nowcasting_utils.models.loss import get_loss
import numpy as np
@register_model
class RUnet(pl.LightningModule... | satflow/models/runet.py | import antialiased_cnns
from satflow.models.layers.RUnetLayers import *
import pytorch_lightning as pl
import torchvision
from typing import Union
from nowcasting_utils.models.base import register_model
from nowcasting_utils.models.loss import get_loss
import numpy as np
@register_model
class RUnet(pl.LightningModule... | 0.934335 | 0.428532 |
# flake8: noqa
import json
import os
import numpy as np
import pytest
import openvino.runtime.opset8 as ov
from openvino.runtime.impl import Function, PartialShape, Shape
from openvino.runtime.impl.passes import Manager
from tests.test_ngraph.util import count_ops_of_type
from openvino.runtime import Core
def tes... | src/bindings/python/tests/test_ngraph/test_manager.py |
# flake8: noqa
import json
import os
import numpy as np
import pytest
import openvino.runtime.opset8 as ov
from openvino.runtime.impl import Function, PartialShape, Shape
from openvino.runtime.impl.passes import Manager
from tests.test_ngraph.util import count_ops_of_type
from openvino.runtime import Core
def tes... | 0.62681 | 0.325936 |
import os
import argparse
# --- BEGIN QA --- #
seed_variance_test = [21]
def QA_task(args):
for seed in seed_variance_test:
os.system(f"python main.py --do_explain false "
f"--model_name baseline "
f"--data_dir data/v1.0 --gpu {args.gpu} --seed {seed} --num_... | sim_experiments/run_tasks.py | import os
import argparse
# --- BEGIN QA --- #
seed_variance_test = [21]
def QA_task(args):
for seed in seed_variance_test:
os.system(f"python main.py --do_explain false "
f"--model_name baseline "
f"--data_dir data/v1.0 --gpu {args.gpu} --seed {seed} --num_... | 0.391522 | 0.187356 |
from bs4 import BeautifulSoup
from twilio.rest import Client
import sys, requests, time, configparser
config = configparser.ConfigParser()
config.read('twilioConfig.ini')
TWILIO_ACCOUNT_SID = config.get('twilio', 'TWILIO_ACCOUNT_SID')
TWILIO_AUTH_TOKEN = config.get('twilio', 'TWILIO_AUTH_TOKEN')
TWILIO_NUMBER_FROM =... | python3/amcEpisodeTracker.py |
from bs4 import BeautifulSoup
from twilio.rest import Client
import sys, requests, time, configparser
config = configparser.ConfigParser()
config.read('twilioConfig.ini')
TWILIO_ACCOUNT_SID = config.get('twilio', 'TWILIO_ACCOUNT_SID')
TWILIO_AUTH_TOKEN = config.get('twilio', 'TWILIO_AUTH_TOKEN')
TWILIO_NUMBER_FROM =... | 0.216094 | 0.075687 |
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from .. import utilities, tables
class Lab(pulumi.CustomResource):
artifacts_storage_account_id: pulumi.Output[str]
"""
The ID of the Storage Account used for Artifact Storage.
"""
default_premium_storage_acco... | sdk/python/pulumi_azure/devtest/lab.py |
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from .. import utilities, tables
class Lab(pulumi.CustomResource):
artifacts_storage_account_id: pulumi.Output[str]
"""
The ID of the Storage Account used for Artifact Storage.
"""
default_premium_storage_acco... | 0.795102 | 0.125574 |
from collections import namedtuple, deque
import numpy as np
from scipy import signal
import tensorflow as tf
from tensorlib.rl.utils.replay.replay import ReplayBuffer
from tensorlib.rl.utils.replay.sampler import Sampler
from tensorlib.utils.math import unnormalize, normalize
Trajectory = namedtuple('Trajectory', ('... | tensorlib/rl/algo/ppo/utils.py | from collections import namedtuple, deque
import numpy as np
from scipy import signal
import tensorflow as tf
from tensorlib.rl.utils.replay.replay import ReplayBuffer
from tensorlib.rl.utils.replay.sampler import Sampler
from tensorlib.utils.math import unnormalize, normalize
Trajectory = namedtuple('Trajectory', ('... | 0.887671 | 0.499023 |
from intent_parser.table.intent_parser_table_type import TableType
import intent_parser.table.cell_parser as cell_parser
class IntentParserTable(object):
"""
Intent Parser's representation of a table.
"""
def __init__(self):
self._rows = []
self._caption_index = None
self._h... | intent_parser/table/intent_parser_table.py | from intent_parser.table.intent_parser_table_type import TableType
import intent_parser.table.cell_parser as cell_parser
class IntentParserTable(object):
"""
Intent Parser's representation of a table.
"""
def __init__(self):
self._rows = []
self._caption_index = None
self._h... | 0.795261 | 0.402921 |
import collections
from copy import deepcopy
from ..internal.logger import get_logger
from ..span import Span
log = get_logger(__name__)
class Hooks(object):
"""
Hooks configuration object is used for registering and calling hook functions
Example::
@config.falcon.hooks.on('request')
d... | ddtrace/settings/hooks.py | import collections
from copy import deepcopy
from ..internal.logger import get_logger
from ..span import Span
log = get_logger(__name__)
class Hooks(object):
"""
Hooks configuration object is used for registering and calling hook functions
Example::
@config.falcon.hooks.on('request')
d... | 0.722331 | 0.168344 |
import numpy as np
from numpy import sin,cos
from functools import reduce
from copy import copy
def single_qubitify(mat, channel, n):
""" given a unitary 2x2 matrix and the channel to apply it on
returns the associated 2**n x 2**n matrix"""
assert mat.shape == (2,2)
return reduce(np.kron, [
n... | UNSTABLE/CircuitParser/CircuitParser/Gates.py |
import numpy as np
from numpy import sin,cos
from functools import reduce
from copy import copy
def single_qubitify(mat, channel, n):
""" given a unitary 2x2 matrix and the channel to apply it on
returns the associated 2**n x 2**n matrix"""
assert mat.shape == (2,2)
return reduce(np.kron, [
n... | 0.902066 | 0.528716 |
#___Import Modules:
import rclpy
from rclpy.node import Node
from geometry_msgs.msg import Twist
import getch
#___Global Variables:
PUBLISH_TOPIC = '/cmd_vel'
#__Classes
class GamepadTwist(Node):
"""Gamepad Twist Class.
This class contains all methods to publish gamepad controller data.
"""
... | simulation_ws/src/ros2_keyboard_to_twist_message/ros2_keyboard_to_twist_message/keyboard_to_twist_function.py | #___Import Modules:
import rclpy
from rclpy.node import Node
from geometry_msgs.msg import Twist
import getch
#___Global Variables:
PUBLISH_TOPIC = '/cmd_vel'
#__Classes
class GamepadTwist(Node):
"""Gamepad Twist Class.
This class contains all methods to publish gamepad controller data.
"""
... | 0.393618 | 0.206454 |
import sys
from pathlib import Path
import torch
import torchvision as tv
from omegaconf.omegaconf import DictConfig, OmegaConf
from .util import dump_as_json, pickle_object
def get_datasets(dataset_root: "str|Path", nn_input_size: int, test_ratio: float, split_seed: int):
"""
Returns train and test sets.
... | ghoti/dataset.py | import sys
from pathlib import Path
import torch
import torchvision as tv
from omegaconf.omegaconf import DictConfig, OmegaConf
from .util import dump_as_json, pickle_object
def get_datasets(dataset_root: "str|Path", nn_input_size: int, test_ratio: float, split_seed: int):
"""
Returns train and test sets.
... | 0.452536 | 0.499573 |
import sys
import unittest
import string_buffer
class TestStringBuffer(unittest.TestCase):
def test_append_mode(self):
sb = string_buffer.StringBuffer("", 5)
self.assertEqual(sb.content, "")
self.assertEqual(sb.display_string, "")
self.assertEqual(sb.cpos_buffer, 0)
sb.ha... | tests/old_string_buffer.py | import sys
import unittest
import string_buffer
class TestStringBuffer(unittest.TestCase):
def test_append_mode(self):
sb = string_buffer.StringBuffer("", 5)
self.assertEqual(sb.content, "")
self.assertEqual(sb.display_string, "")
self.assertEqual(sb.cpos_buffer, 0)
sb.ha... | 0.393968 | 0.339828 |
from __future__ import unicode_literals
from operator import itemgetter
import glob
import os
import struct
import zlib
class AD1Reader(object):
def __init__(self, ad1_path, separator='/', margin=512, string_encoding='utf-8'):
self.separator = separator
self.margin = margin
self.string_e... | pyad1/reader.py | from __future__ import unicode_literals
from operator import itemgetter
import glob
import os
import struct
import zlib
class AD1Reader(object):
def __init__(self, ad1_path, separator='/', margin=512, string_encoding='utf-8'):
self.separator = separator
self.margin = margin
self.string_e... | 0.470007 | 0.088623 |
import time
from pathlib import Path
from os import PathLike
from nlp_architect.models.absa import TRAIN_OUT
from nlp_architect.models.absa.train.acquire_terms import AcquireTerms
from nlp_architect.models.absa.train.rerank_terms import RerankTerms
from nlp_architect.models.absa.utils import parse_docs, _download_pretr... | nlp_architect/models/absa/train/train.py | import time
from pathlib import Path
from os import PathLike
from nlp_architect.models.absa import TRAIN_OUT
from nlp_architect.models.absa.train.acquire_terms import AcquireTerms
from nlp_architect.models.absa.train.rerank_terms import RerankTerms
from nlp_architect.models.absa.utils import parse_docs, _download_pretr... | 0.423935 | 0.155046 |
import urllib
import logging
from typing import Text
from resilient_exporters import utils
from resilient_exporters.exporters import Exporter, ExportResult
from resilient_exporters.exceptions import MissingConfigError, \
InvalidConfigError, \
... | resilient_exporters/exporters/exporter_sqlserver.py | import urllib
import logging
from typing import Text
from resilient_exporters import utils
from resilient_exporters.exporters import Exporter, ExportResult
from resilient_exporters.exceptions import MissingConfigError, \
InvalidConfigError, \
... | 0.712032 | 0.156685 |
import os
import jieba
import pickle
from pyecharts import options
from wordcloud import WordCloud
from pyecharts.globals import ThemeType
from pyecharts.charts import Pie, Bar, Funnel
'''检查文件在是否存在'''
def checkDir(dirpath):
if not os.path.exists(dirpath):
os.mkdir(dirpath)
return False
return True
'''画饼图'''
d... | examples/userWeiboSpider/analysis.py | import os
import jieba
import pickle
from pyecharts import options
from wordcloud import WordCloud
from pyecharts.globals import ThemeType
from pyecharts.charts import Pie, Bar, Funnel
'''检查文件在是否存在'''
def checkDir(dirpath):
if not os.path.exists(dirpath):
os.mkdir(dirpath)
return False
return True
'''画饼图'''
d... | 0.06644 | 0.149656 |
from ..testcase import BaseTestCase
class ForeignKeyFieldTestCase(BaseTestCase):
def test_foreign_key(self):
from django.db import models as dj_models
from djangostdnet import models
class ADjangoParentModel(dj_models.Model):
name = dj_models.CharField(max_length=255)
... | tests/fields/foreign_key_field.py | from ..testcase import BaseTestCase
class ForeignKeyFieldTestCase(BaseTestCase):
def test_foreign_key(self):
from django.db import models as dj_models
from djangostdnet import models
class ADjangoParentModel(dj_models.Model):
name = dj_models.CharField(max_length=255)
... | 0.524638 | 0.290805 |
def list_dependencies():
return [
{
"bind_args": {
"actual": "@scala_annex_ch_epfl_scala_bloop_backend_2_12",
"name": "jar/scala_annex_ch/epfl/scala/bloop_backend_2_12",
},
"import_args": {
"default_visibility": ["//visibili... | 3rdparty/maven.bzl | def list_dependencies():
return [
{
"bind_args": {
"actual": "@scala_annex_ch_epfl_scala_bloop_backend_2_12",
"name": "jar/scala_annex_ch/epfl/scala/bloop_backend_2_12",
},
"import_args": {
"default_visibility": ["//visibili... | 0.477798 | 0.202079 |
import argparse
import json
import os
import re
import subprocess
import sys
import time
import yaml
from datetime import datetime
# streams which don't use lockfiles
UNLOCKED_STREAMS = [
'rawhide',
'branched',
'bodhi-updates-testing',
'bodhi-updates',
]
# https://github.com/coreos/fedora-coreos-trac... | scripts/versionary.py | import argparse
import json
import os
import re
import subprocess
import sys
import time
import yaml
from datetime import datetime
# streams which don't use lockfiles
UNLOCKED_STREAMS = [
'rawhide',
'branched',
'bodhi-updates-testing',
'bodhi-updates',
]
# https://github.com/coreos/fedora-coreos-trac... | 0.320928 | 0.202956 |
class Graph:
def __init__(self, vSet, eSet) -> None:
#アトリビュートを隠蔽
self.__vertexSet = vSet
self.__edgeSet = eSet
# vertexSetのゲッター
def getVertexSet(self):
return self.__vertexSet
# edgeSetのゲッター
def getEdgeSet(self):
return self.__edgeSet
# vertexSetのセッター
... | object/shortest_path_class1.py |
class Graph:
def __init__(self, vSet, eSet) -> None:
#アトリビュートを隠蔽
self.__vertexSet = vSet
self.__edgeSet = eSet
# vertexSetのゲッター
def getVertexSet(self):
return self.__vertexSet
# edgeSetのゲッター
def getEdgeSet(self):
return self.__edgeSet
# vertexSetのセッター
... | 0.260484 | 0.435962 |
import sys
import time
from boost_adaptbx.boost.python import streambuf
from cctbx.eltbx import attenuation_coefficient
from scitbx import matrix
from scitbx.array_family import flex
from dxtbx.ext import read_int32
from dxtbx.format.FormatSMVRigaku import FormatSMVRigaku
from dxtbx.model import ParallaxCorrectedPxMm... | src/dxtbx/format/FormatSMVRigakuEiger.py | import sys
import time
from boost_adaptbx.boost.python import streambuf
from cctbx.eltbx import attenuation_coefficient
from scitbx import matrix
from scitbx.array_family import flex
from dxtbx.ext import read_int32
from dxtbx.format.FormatSMVRigaku import FormatSMVRigaku
from dxtbx.model import ParallaxCorrectedPxMm... | 0.658198 | 0.379206 |