code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
from enum import Enum
from typing import List
from typing import Any
from tempfile import NamedTemporaryFile
from openpyxl import Workbook
from openpyxl.styles import NamedStyle
from openpyxl.styles import PatternFill
from validator.loader import file_nt
from validator.engine.errors import TaskMessage
error_style... | validator/writer.py | from enum import Enum
from typing import List
from typing import Any
from tempfile import NamedTemporaryFile
from openpyxl import Workbook
from openpyxl.styles import NamedStyle
from openpyxl.styles import PatternFill
from validator.loader import file_nt
from validator.engine.errors import TaskMessage
error_style... | 0.722625 | 0.137012 |
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the... | tests/test_inversedynamics.py |
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the... | 0.889643 | 0.620765 |
from __future__ import unicode_literals
import re
import json
from .common import InfoExtractor
from ..compat import (
compat_urllib_request,
)
from ..utils import (
ExtractorError,
)
class IviIE(InfoExtractor):
IE_DESC = 'ivi.ru'
IE_NAME = 'ivi'
_VALID_URL = r'https?://(?:www\.)?ivi\.ru/(?:watc... | youtube_dl/extractor/ivi.py | from __future__ import unicode_literals
import re
import json
from .common import InfoExtractor
from ..compat import (
compat_urllib_request,
)
from ..utils import (
ExtractorError,
)
class IviIE(InfoExtractor):
IE_DESC = 'ivi.ru'
IE_NAME = 'ivi'
_VALID_URL = r'https?://(?:www\.)?ivi\.ru/(?:watc... | 0.481941 | 0.129293 |
from core.skills import skillsLoader
from core.utils.cleanOrder import *
def executeSkill(orderJson): # Traitement d'un ordre (complexe)
order = orderJson["msg"]
if(order == "") :
return "Je ne vous ai pas entendu"
orders = order.split(",") # On regarde si on peut séparer l'ordre en 2 (si il ... | core/core.py |
from core.skills import skillsLoader
from core.utils.cleanOrder import *
def executeSkill(orderJson): # Traitement d'un ordre (complexe)
order = orderJson["msg"]
if(order == "") :
return "Je ne vous ai pas entendu"
orders = order.split(",") # On regarde si on peut séparer l'ordre en 2 (si il ... | 0.39257 | 0.32029 |
"""Algorithms for topological sorting"""
import queue
from typing import List
from .searching import dfs_recursive
from .searching_strategy import DFSStrategy
from ..directed_graph import DirectedGraph
from ..graph import Vertex
class DirectedCyclicGraphError(ValueError):
pass
def sort_topological_using_inputs... | algolib/graphs/algorithms/topological_sorting.py | """Algorithms for topological sorting"""
import queue
from typing import List
from .searching import dfs_recursive
from .searching_strategy import DFSStrategy
from ..directed_graph import DirectedGraph
from ..graph import Vertex
class DirectedCyclicGraphError(ValueError):
pass
def sort_topological_using_inputs... | 0.927157 | 0.674767 |
from urllib.parse import urlparse
from mitmproxy import http
from lyrebird import log
import os
import json
import logging
import re
_logger = log.get_logger()
_logger.setLevel(logging.INFO)
PROXY_PORT = int(os.environ.get('PROXY_PORT'))
PROXY_FILTERS = json.loads(os.environ.get('PROXY_FILTERS'))
def to_mock_server... | lyrebird/proxy/mitm_script.py | from urllib.parse import urlparse
from mitmproxy import http
from lyrebird import log
import os
import json
import logging
import re
_logger = log.get_logger()
_logger.setLevel(logging.INFO)
PROXY_PORT = int(os.environ.get('PROXY_PORT'))
PROXY_FILTERS = json.loads(os.environ.get('PROXY_FILTERS'))
def to_mock_server... | 0.36977 | 0.075176 |
def for_ops(state, operations, fn) -> None:
for operation in operations:
fn(state, operation)
def get_process_calls(spec):
return {
# PHASE0
'process_block_header':
lambda state, block: spec.process_block_header(state, block),
'process_randao':
lambda st... | tests/core/pyspec/eth2spec/test/helpers/block_processing.py | def for_ops(state, operations, fn) -> None:
for operation in operations:
fn(state, operation)
def get_process_calls(spec):
return {
# PHASE0
'process_block_header':
lambda state, block: spec.process_block_header(state, block),
'process_randao':
lambda st... | 0.447702 | 0.353735 |
import os
import random
import pandas as pd
import numpy as np
import torch
import torch.utils.data as data
from PIL import Image
import scipy.misc as ssc
from psmnet.dataloader import preprocess
IMG_EXTENSIONS = [
'.jpg', '.JPG', '.jpeg', '.JPEG',
'.png', '.PNG', '.ppm', '.PPM', '.bmp', '.BMP',
]
calib = [... | psmnet/dataloader/VKittiLoader.py | import os
import random
import pandas as pd
import numpy as np
import torch
import torch.utils.data as data
from PIL import Image
import scipy.misc as ssc
from psmnet.dataloader import preprocess
IMG_EXTENSIONS = [
'.jpg', '.JPG', '.jpeg', '.JPEG',
'.png', '.PNG', '.ppm', '.PPM', '.bmp', '.BMP',
]
calib = [... | 0.639173 | 0.331539 |
import logging
from openstack import connection, config
from . import AbstractDriver
from ..node import Node, NodeState
def create_connection_from_config(name=None):
""" Creates a new open stack connection """
occ = config.OpenStackConfig()
cloud = occ.get_one_cloud(name)
return connection.from_conf... | powerfulseal/clouddrivers/open_stack_driver.py |
import logging
from openstack import connection, config
from . import AbstractDriver
from ..node import Node, NodeState
def create_connection_from_config(name=None):
""" Creates a new open stack connection """
occ = config.OpenStackConfig()
cloud = occ.get_one_cloud(name)
return connection.from_conf... | 0.620162 | 0.112356 |
import os
import numpy as np
from tvtk.api import tvtk, write_data
import sharpy.utils.algebra as algebra
import sharpy.utils.cout_utils as cout
from sharpy.utils.settings import str2bool
from sharpy.utils.solver_interface import solver, BaseSolver
import sharpy.utils.settings as settings
from sharpy.utils.datastruct... | sharpy/postproc/stallcheck.py | import os
import numpy as np
from tvtk.api import tvtk, write_data
import sharpy.utils.algebra as algebra
import sharpy.utils.cout_utils as cout
from sharpy.utils.settings import str2bool
from sharpy.utils.solver_interface import solver, BaseSolver
import sharpy.utils.settings as settings
from sharpy.utils.datastruct... | 0.556882 | 0.256861 |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.linear_model import LinearRegression, LassoCV, RidgeCV
from sklearn.model_selection import cross_val_score, train_test_split
from sklearn.preprocessing import StandardScaler, PolynomialFeatures
from sklearn.metric... | eda_and_beyond/eda_tools.py | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.linear_model import LinearRegression, LassoCV, RidgeCV
from sklearn.model_selection import cross_val_score, train_test_split
from sklearn.preprocessing import StandardScaler, PolynomialFeatures
from sklearn.metric... | 0.594669 | 0.611875 |
import re
import xraylib
from skbeam.core.constants import XrfElement as Element
from skbeam.core.fitting.xrf_model import K_LINE, L_LINE, M_LINE
def get_element_atomic_number(element_str):
r"""
A wrapper to ``SymbolToAtomicNumber`` function from ``xraylib``.
Returns atomic number for the sybmolic element... | pyxrf/core/xrf_utils.py | import re
import xraylib
from skbeam.core.constants import XrfElement as Element
from skbeam.core.fitting.xrf_model import K_LINE, L_LINE, M_LINE
def get_element_atomic_number(element_str):
r"""
A wrapper to ``SymbolToAtomicNumber`` function from ``xraylib``.
Returns atomic number for the sybmolic element... | 0.891138 | 0.637031 |
import json
import os
import random
import socket
import subprocess
import sys
from time import sleep
from urllib.parse import urlparse
import pytest
import jsonschema_rs
TEST_SUITE_PATH = "../../jsonschema/tests/suite"
EXPONENTIAL_BASE = 2
JITTER = (0.0, 0.5)
INITIAL_RETRY_DELAY = 0.05
MAX_WAITING_RETRIES = 10
de... | bindings/python/tests-py/test_suite.py | import json
import os
import random
import socket
import subprocess
import sys
from time import sleep
from urllib.parse import urlparse
import pytest
import jsonschema_rs
TEST_SUITE_PATH = "../../jsonschema/tests/suite"
EXPONENTIAL_BASE = 2
JITTER = (0.0, 0.5)
INITIAL_RETRY_DELAY = 0.05
MAX_WAITING_RETRIES = 10
de... | 0.334916 | 0.16455 |
from aiohttp import web
import asyncio
import asyncio.tasks
import datetime
import functools
import logging
import itertools
import typing
import json
from ..models import Update
from ..utils import helper
DEFAULT_WEB_PATH = '/webhook'
DEFAULT_ROUTE_NAME = 'webhook_handler'
BOT_DISPATCHER_KEY = 'BOT_DISPATCHER'
RESP... | pyAitu/dispatcher/webhook.py | from aiohttp import web
import asyncio
import asyncio.tasks
import datetime
import functools
import logging
import itertools
import typing
import json
from ..models import Update
from ..utils import helper
DEFAULT_WEB_PATH = '/webhook'
DEFAULT_ROUTE_NAME = 'webhook_handler'
BOT_DISPATCHER_KEY = 'BOT_DISPATCHER'
RESP... | 0.534612 | 0.093885 |
import asyncio
from typing import List
from readchar import *
from api import pokeapi
from config.config import TEXT
from game.pokemon import Pokemon
class Player:
"""Holds current information about the player"""
team: List[Pokemon] = []
def __init__(self):
"""Fills the player's team with a rand... | game/player.py | import asyncio
from typing import List
from readchar import *
from api import pokeapi
from config.config import TEXT
from game.pokemon import Pokemon
class Player:
"""Holds current information about the player"""
team: List[Pokemon] = []
def __init__(self):
"""Fills the player's team with a rand... | 0.605216 | 0.318591 |
from tdw.controller import Controller
from tdw.tdw_utils import TDWUtils
from time import sleep
from platform import system
"""
Create a fluid "container" with the NVIDIA Flex physics engine. Run several trials, dropping ball objects of increasing mass into the fluid.
"""
class FlexFluid(Controller):
... | Python/example_controllers/flex_fluid_object.py | from tdw.controller import Controller
from tdw.tdw_utils import TDWUtils
from time import sleep
from platform import system
"""
Create a fluid "container" with the NVIDIA Flex physics engine. Run several trials, dropping ball objects of increasing mass into the fluid.
"""
class FlexFluid(Controller):
... | 0.623033 | 0.353596 |
from unittest import TestCase
from unittest.mock import MagicMock
import numpy as np
from pynwb import NWBFile
from testfixtures import should_raise
from rec_to_nwb.processing.exceptions.missing_data_exception import MissingDataException
from rec_to_nwb.processing.nwb.components.mda.time.valid.fl_mda_valid_time_manag... | rec_to_nwb/test/processing/mda/time/valid/test_flMdaValidTimeManager.py | from unittest import TestCase
from unittest.mock import MagicMock
import numpy as np
from pynwb import NWBFile
from testfixtures import should_raise
from rec_to_nwb.processing.exceptions.missing_data_exception import MissingDataException
from rec_to_nwb.processing.nwb.components.mda.time.valid.fl_mda_valid_time_manag... | 0.7237 | 0.496704 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import copy
import os
from gym.core import Env
from gym.spaces import Box
from gym.spaces import Discrete
from gym.utils import play
import numpy as np
from PIL import Image
from PIL import ImageDraw
from PI... | v0.5.0/google/research_v3.32/gnmt-tpuv3-32/code/gnmt/model/t2t/tensor2tensor/rl/model_rl_experiment_player.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import copy
import os
from gym.core import Env
from gym.spaces import Box
from gym.spaces import Discrete
from gym.utils import play
import numpy as np
from PIL import Image
from PIL import ImageDraw
from PI... | 0.617513 | 0.248386 |
from rest_framework.permissions import BasePermission
from django.conf import settings
from seaserv import check_permission, is_repo_owner, ccnet_api
from seahub.utils import is_pro_version
SAFE_METHODS = ['GET', 'HEAD', 'OPTIONS']
class IsRepoWritable(BasePermission):
"""
Allows access only for user who ha... | seahub/api2/permissions.py | from rest_framework.permissions import BasePermission
from django.conf import settings
from seaserv import check_permission, is_repo_owner, ccnet_api
from seahub.utils import is_pro_version
SAFE_METHODS = ['GET', 'HEAD', 'OPTIONS']
class IsRepoWritable(BasePermission):
"""
Allows access only for user who ha... | 0.462959 | 0.072308 |
import hashlib
import logging
from stevedore import driver
from pecan import conf
from cauth.service import base
from cauth.model import db as auth_map
from cauth.utils import transaction
from cauth.utils import exceptions
def differentiate(login, domain, uid):
suffix = hashlib.sha1((domain + '/' + str(uid)).e... | cauth/utils/userdetails.py |
import hashlib
import logging
from stevedore import driver
from pecan import conf
from cauth.service import base
from cauth.model import db as auth_map
from cauth.utils import transaction
from cauth.utils import exceptions
def differentiate(login, domain, uid):
suffix = hashlib.sha1((domain + '/' + str(uid)).e... | 0.298798 | 0.049451 |
import jc.utils
import jc.parsers.universal
class info():
version = '1.0'
description = 'crontab file parser with user support'
author = '<NAME>'
author_email = '<EMAIL>'
# details = 'enter any other details here'
# compatible options: linux, darwin, cygwin, win32, aix, freebsd
compatible... | jc/parsers/crontab_u.py | import jc.utils
import jc.parsers.universal
class info():
version = '1.0'
description = 'crontab file parser with user support'
author = '<NAME>'
author_email = '<EMAIL>'
# details = 'enter any other details here'
# compatible options: linux, darwin, cygwin, win32, aix, freebsd
compatible... | 0.49585 | 0.304145 |
import logging
import os
import shelve
import struct
from ...utils.codepage import load_obj, MemoryPage
from ...irutils import verify_module
from .. import wasm_to_ir
from ..components import Table
from ..util import PAGE_SIZE
from ._base_instance import ModuleInstance, WasmMemory, WasmGlobal
logger = logging.getLog... | ppci/wasm/execution/_native_instance.py | import logging
import os
import shelve
import struct
from ...utils.codepage import load_obj, MemoryPage
from ...irutils import verify_module
from .. import wasm_to_ir
from ..components import Table
from ..util import PAGE_SIZE
from ._base_instance import ModuleInstance, WasmMemory, WasmGlobal
logger = logging.getLog... | 0.2414 | 0.160102 |
"""The Cartpole reinforcement learning environment."""
# Import all packages
import collections
from bsuite.experiments.cartpole import sweep
import dm_env
from dm_env import specs
import numpy as np
CartpoleState = collections.namedtuple(
'CartpoleState', ['x', 'x_dot', 'theta', 'theta_dot', 'time_elapsed'])
... | bsuite/experiments/cartpole/cartpole.py | """The Cartpole reinforcement learning environment."""
# Import all packages
import collections
from bsuite.experiments.cartpole import sweep
import dm_env
from dm_env import specs
import numpy as np
CartpoleState = collections.namedtuple(
'CartpoleState', ['x', 'x_dot', 'theta', 'theta_dot', 'time_elapsed'])
... | 0.924509 | 0.607809 |
from copy import deepcopy
from inspect import isclass, signature
import numpy as np
import pandas as pd
from fbprophet import Prophet
from sklearn.base import BaseEstimator
class SkProphet(Prophet):
DS = 'ds'
def __init__(
self,
sk_date_column=DS,
sk_yhat_only=True,
sk_extr... | muttlib/forecast.py | from copy import deepcopy
from inspect import isclass, signature
import numpy as np
import pandas as pd
from fbprophet import Prophet
from sklearn.base import BaseEstimator
class SkProphet(Prophet):
DS = 'ds'
def __init__(
self,
sk_date_column=DS,
sk_yhat_only=True,
sk_extr... | 0.847274 | 0.396944 |
from datetime import timedelta
from webargs import fields
from . import BaseView, use_args, use_kwargs
from ..models.event import Event as EventModel
from ..schemas.event import Event as EventSchema, EventMatch
from .utils import get_or_404
eventlist_args = {
"fromdate": fields.Date(required=False),
"todate":... | friday/views/event.py | from datetime import timedelta
from webargs import fields
from . import BaseView, use_args, use_kwargs
from ..models.event import Event as EventModel
from ..schemas.event import Event as EventSchema, EventMatch
from .utils import get_or_404
eventlist_args = {
"fromdate": fields.Date(required=False),
"todate":... | 0.610337 | 0.070688 |
import logging
import random
import pytest
from ocs_ci.framework.pytest_customization.marks import aws_platform_required
from ocs_ci.framework.testlib import ManageTest, tier4, bugzilla
from ocs_ci.ocs.exceptions import CommandFailed
from tests import sanity_helpers
logger = logging.getLogger(__name__)
@tier4
@pyt... | tests/manage/cluster/nodes/test_az_failure.py | import logging
import random
import pytest
from ocs_ci.framework.pytest_customization.marks import aws_platform_required
from ocs_ci.framework.testlib import ManageTest, tier4, bugzilla
from ocs_ci.ocs.exceptions import CommandFailed
from tests import sanity_helpers
logger = logging.getLogger(__name__)
@tier4
@pyt... | 0.619932 | 0.290591 |
from __future__ import absolute_import
from __future__ import print_function
import os
import numpy as np
import matplotlib.pyplot as plt
from clawpack.visclaw import geoplot, gaugetools
import clawpack.clawutil.data as clawutil
import clawpack.amrclaw.data as amrclaw
import clawpack.geoclaw.data
import clawpack.g... | examples/multi-layer/plane_wave/setplot.py | from __future__ import absolute_import
from __future__ import print_function
import os
import numpy as np
import matplotlib.pyplot as plt
from clawpack.visclaw import geoplot, gaugetools
import clawpack.clawutil.data as clawutil
import clawpack.amrclaw.data as amrclaw
import clawpack.geoclaw.data
import clawpack.g... | 0.765506 | 0.521654 |
from .taskonomy_network import TaskonomyEncoder, TaskonomyDecoder, TaskonomyNetwork, TASKONOMY_PRETRAINED_URLS, TASKS_TO_CHANNELS
import multiprocessing.dummy as mp
import torch
default_device = 'cuda' if torch.cuda.is_available() else 'cpu'
def representation_transform(img, feature_task='normal', device=default_devi... | visualpriors/transforms.py | from .taskonomy_network import TaskonomyEncoder, TaskonomyDecoder, TaskonomyNetwork, TASKONOMY_PRETRAINED_URLS, TASKS_TO_CHANNELS
import multiprocessing.dummy as mp
import torch
default_device = 'cuda' if torch.cuda.is_available() else 'cpu'
def representation_transform(img, feature_task='normal', device=default_devi... | 0.810891 | 0.500732 |
"""Learning 2 Learn training."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from six.moves import xrange
import tensorflow as tf
from tqdm import tqdm
from tensorflow.contrib.learn.python.learn import monitored_session as ms
import meta
imp... | train.py | """Learning 2 Learn training."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from six.moves import xrange
import tensorflow as tf
from tqdm import tqdm
from tensorflow.contrib.learn.python.learn import monitored_session as ms
import meta
imp... | 0.817246 | 0.230514 |
import pandas as pd
import os
class DeploymentInfo():
"""
A class to handle acoustic deployment metadadata .
Object carrying deployment metadata that can be used for example to populate
metadata fields in Annotation or Measurement objects.
Attributes
----------
data : pandas DataFrame
... | ecosound/core/metadata.py | import pandas as pd
import os
class DeploymentInfo():
"""
A class to handle acoustic deployment metadadata .
Object carrying deployment metadata that can be used for example to populate
metadata fields in Annotation or Measurement objects.
Attributes
----------
data : pandas DataFrame
... | 0.775095 | 0.477798 |
from sympy.core.symbol import Symbol
from sympy.tensor.indexed import Idx, IndexedBase, Indexed
from sympy.concrete import Product
from sympy.core.compatibility import is_sequence
from sympy.core.singleton import S
from sympy.core.add import Add
from sympy.core.function import Derivative
from sympy.functions.special.te... | derivations/scripts/sympy_addons.py | from sympy.core.symbol import Symbol
from sympy.tensor.indexed import Idx, IndexedBase, Indexed
from sympy.concrete import Product
from sympy.core.compatibility import is_sequence
from sympy.core.singleton import S
from sympy.core.add import Add
from sympy.core.function import Derivative
from sympy.functions.special.te... | 0.752468 | 0.216881 |
import pandas as pd
import h5py
import numpy as np
import os
import matplotlib.pyplot as plt
#load cdsdb
new_file = h5py.File("../data/csdb_bt/csdb_bt.h5", "r")
bt_csdb = new_file["bt"][:]
new_file.close()
#compute mean and var csdb dataset
df_bt_csdb = pd.DataFrame(bt_csdb)
mean_bt_csdb = df_bt_csdb.mean()
... | code/mean_var_bt.py | import pandas as pd
import h5py
import numpy as np
import os
import matplotlib.pyplot as plt
#load cdsdb
new_file = h5py.File("../data/csdb_bt/csdb_bt.h5", "r")
bt_csdb = new_file["bt"][:]
new_file.close()
#compute mean and var csdb dataset
df_bt_csdb = pd.DataFrame(bt_csdb)
mean_bt_csdb = df_bt_csdb.mean()
... | 0.178204 | 0.103749 |
from pyrosm.data_manager import get_osm_data
from pyrosm.frames import prepare_geodataframe
from pyrosm.utils import validate_custom_filter
import geopandas as gpd
import warnings
def get_boundary_data(node_coordinates, way_records, relations,
tags_as_columns, custom_filter,
... | pyrosm/boundary.py | from pyrosm.data_manager import get_osm_data
from pyrosm.frames import prepare_geodataframe
from pyrosm.utils import validate_custom_filter
import geopandas as gpd
import warnings
def get_boundary_data(node_coordinates, way_records, relations,
tags_as_columns, custom_filter,
... | 0.734405 | 0.23688 |
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'Address.extended_address'
db.add_column(u'address_address', 'extended_address',
self.gf('djang... | address/migrations/0004_auto__add_field_address_extended_address__chg_field_address_street_add.py | import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'Address.extended_address'
db.add_column(u'address_address', 'extended_address',
self.gf('djang... | 0.443118 | 0.147986 |
# Modified by <NAME>' to test FTP class and IPv6 environment
import ftplib
import threading
import asyncore
import asynchat
import socket
import StringIO
from unittest import TestCase
from test import test_support
from test.test_support import HOST
# the dummy data returned by server over the data channel when
# R... | Lib/test/test_ftplib.py |
# Modified by <NAME>' to test FTP class and IPv6 environment
import ftplib
import threading
import asyncore
import asynchat
import socket
import StringIO
from unittest import TestCase
from test import test_support
from test.test_support import HOST
# the dummy data returned by server over the data channel when
# R... | 0.480479 | 0.143518 |
from PyQt5.QtWidgets import QLineEdit, QDialog, QFileDialog, QWidget, QTreeWidget, QToolButton, QRadioButton, QMessageBox, QTreeWidgetItem, QTabWidget, QLabel, QCheckBox, QPushButton, QSpinBox
from os.path import basename
from PyQt5.QtGui import QIcon
from PyQt5.QtGui import QColor, QBrush
from PyQt5.QtCore import Qt
f... | data/user_input/plots/structural/plotStructuralFrequencyResponseInput.py | from PyQt5.QtWidgets import QLineEdit, QDialog, QFileDialog, QWidget, QTreeWidget, QToolButton, QRadioButton, QMessageBox, QTreeWidgetItem, QTabWidget, QLabel, QCheckBox, QPushButton, QSpinBox
from os.path import basename
from PyQt5.QtGui import QIcon
from PyQt5.QtGui import QColor, QBrush
from PyQt5.QtCore import Qt
f... | 0.560253 | 0.234024 |
__author__ = '<NAME>'
__date__ = 'August 2012'
__copyright__ = '(C) 2012, <NAME>'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '176c06ceefb5f555205e72b20c962740cc0ec183'
import os
from pprint import pformat
import time
from qgis.PyQt.QtCore import QCoreApplication, Qt
from qgis.... | python/plugins/processing/gui/AlgorithmDialog.py | __author__ = '<NAME>'
__date__ = 'August 2012'
__copyright__ = '(C) 2012, <NAME>'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '176c06ceefb5f555205e72b20c962740cc0ec183'
import os
from pprint import pformat
import time
from qgis.PyQt.QtCore import QCoreApplication, Qt
from qgis.... | 0.350755 | 0.09451 |
import json
import time
from typing import Optional, Sequence
import yaml
from kubernetes import client
from kubernetes.client.rest import ApiException
from tempo.k8s.constants import TempoK8sLabel, TempoK8sModelSpecAnnotation
from tempo.k8s.utils import create_k8s_client
from tempo.seldon.endpoint import Endpoint
fr... | tempo/seldon/k8s.py | import json
import time
from typing import Optional, Sequence
import yaml
from kubernetes import client
from kubernetes.client.rest import ApiException
from tempo.k8s.constants import TempoK8sLabel, TempoK8sModelSpecAnnotation
from tempo.k8s.utils import create_k8s_client
from tempo.seldon.endpoint import Endpoint
fr... | 0.68595 | 0.14445 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from layers.Transformer_EncDec import Decoder, DecoderLayer, Encoder, EncoderLayer, ConvLayer
from layers.SelfAttention_Family import FullAttention, AttentionLayer
from layers.Embed import DataEmbedding
import numpy as np
class Transformer(nn.Module):... | models/seq2seq/Transformer.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from layers.Transformer_EncDec import Decoder, DecoderLayer, Encoder, EncoderLayer, ConvLayer
from layers.SelfAttention_Family import FullAttention, AttentionLayer
from layers.Embed import DataEmbedding
import numpy as np
class Transformer(nn.Module):... | 0.928854 | 0.310139 |
import os
import pytest
import subprocess as s
from pyspaces import Container, Chroot, Inject, setns
def execute(argv):
"""Execute programm with arguments.
Args:
*args (list): arguments
"""
os.execvp(argv[0], argv)
def test_basic_container(capfd):
"""Check basic namespace.
```
... | tests/test_create_container.py |
import os
import pytest
import subprocess as s
from pyspaces import Container, Chroot, Inject, setns
def execute(argv):
"""Execute programm with arguments.
Args:
*args (list): arguments
"""
os.execvp(argv[0], argv)
def test_basic_container(capfd):
"""Check basic namespace.
```
... | 0.417509 | 0.474449 |
import argparse
import logging
import multiprocessing
import time
from functools import partial, update_wrapper
from defaults import EXTRACTION_MAX_READ_PAIRS, EXTRACTION_MAX_NM, EXTRACTION_MAX_INTERVAL_TRUNCATION, EXTRACTION_TRUNCATION_PAD
import pysam
compl_table = [chr(i) for i in xrange(256)]
compl_table[ord('A')... | metasv/extract_pairs.py | import argparse
import logging
import multiprocessing
import time
from functools import partial, update_wrapper
from defaults import EXTRACTION_MAX_READ_PAIRS, EXTRACTION_MAX_NM, EXTRACTION_MAX_INTERVAL_TRUNCATION, EXTRACTION_TRUNCATION_PAD
import pysam
compl_table = [chr(i) for i in xrange(256)]
compl_table[ord('A')... | 0.218503 | 0.154185 |
sMAP feed for BPA Total Wind, Hydro, and Thermal Generation.
@author <NAME>
'''
import urllib2
import logging
from smap.driver import SmapDriver
from smap.util import periodicSequentialCall
from smap.contrib import dtutil
class BPADriver(SmapDriver):
'''
Scrape feed from BPA site and parse as a sMAP feed. BPA... | python/smap/drivers/washingtonbpa.py | sMAP feed for BPA Total Wind, Hydro, and Thermal Generation.
@author <NAME>
'''
import urllib2
import logging
from smap.driver import SmapDriver
from smap.util import periodicSequentialCall
from smap.contrib import dtutil
class BPADriver(SmapDriver):
'''
Scrape feed from BPA site and parse as a sMAP feed. BPA... | 0.437103 | 0.362518 |
from pathlib import Path
import pytest
from .. import base
MB = 1
@base.bootstrapped
@pytest.mark.asyncio
async def test_action(event_loop):
async with base.CleanModel() as model:
ubuntu_app = await model.deploy(
'percona-cluster',
application_name='mysql',
series='x... | tests/integration/test_application.py | from pathlib import Path
import pytest
from .. import base
MB = 1
@base.bootstrapped
@pytest.mark.asyncio
async def test_action(event_loop):
async with base.CleanModel() as model:
ubuntu_app = await model.deploy(
'percona-cluster',
application_name='mysql',
series='x... | 0.406862 | 0.264216 |
from ..utils.game_history import game_event_history
import torch
import numpy as np
from ..model.components import transform_input
from ..tree.temperture import *
def play_game(model, env, self_play=False, custom_end_function=None, custom_reward_function=None, custom_state_function=None, extra_loss_tracker=None, timeo... | musweeper/musweeper/muzero/model/selfplay.py | from ..utils.game_history import game_event_history
import torch
import numpy as np
from ..model.components import transform_input
from ..tree.temperture import *
def play_game(model, env, self_play=False, custom_end_function=None, custom_reward_function=None, custom_state_function=None, extra_loss_tracker=None, timeo... | 0.794943 | 0.353484 |
import PySimpleGUI as sg
import plotly.graph_objects as go
from NetLogoDOE.src.gui.custom_components import title, question_mark_button, explanation
from NetLogoDOE.src.gui.custom_windows import show_help_window
from NetLogoDOE.src.gui.help_dictionary import help_text
from NetLogoDOE.src.util.data_processing.merge_sta... | NetLogoDOE/src/gui/plots/standard/BoxplotScreen.py | import PySimpleGUI as sg
import plotly.graph_objects as go
from NetLogoDOE.src.gui.custom_components import title, question_mark_button, explanation
from NetLogoDOE.src.gui.custom_windows import show_help_window
from NetLogoDOE.src.gui.help_dictionary import help_text
from NetLogoDOE.src.util.data_processing.merge_sta... | 0.508544 | 0.181771 |
import socket
import threading
import queue
import time
class loggerThread(threading.Thread):
def __init__(self,loggerQueue,conn,addr):
threading.Thread.__init__(self)
self.loggerQueue = loggerQueue
self.conn = conn
self.addr = addr
def run(self):
logger(self.logg... | proje/proje.py | import socket
import threading
import queue
import time
class loggerThread(threading.Thread):
def __init__(self,loggerQueue,conn,addr):
threading.Thread.__init__(self)
self.loggerQueue = loggerQueue
self.conn = conn
self.addr = addr
def run(self):
logger(self.logg... | 0.037821 | 0.067547 |
from keras.layers import Flatten, Conv2D, Dense, Activation
from keras.optimizers import Adam
from keras import Sequential
from rl.agents import DQNAgent, CEMAgent
from rl.memory import SequentialMemory, EpisodeParameterMemory
from rl.policy import EpsGreedyQPolicy
from hexagon_agent import *
from random import shuff... | dqn_centaur_ai_gym.py | from keras.layers import Flatten, Conv2D, Dense, Activation
from keras.optimizers import Adam
from keras import Sequential
from rl.agents import DQNAgent, CEMAgent
from rl.memory import SequentialMemory, EpisodeParameterMemory
from rl.policy import EpsGreedyQPolicy
from hexagon_agent import *
from random import shuff... | 0.756447 | 0.355719 |
import csv
import json
import logging
import os
import urllib3
import time
from datetime import datetime, timedelta
from typing import List
# Globals
TRANSFERWISE_BASE_URI = None
FIREFLY_BASE_URI = None
category_map = {}
currency_accounts = {}
logging.getLogger().setLevel(logging.INFO)
http = urllib3.PoolManager()
... | transferwise/src/main.py | import csv
import json
import logging
import os
import urllib3
import time
from datetime import datetime, timedelta
from typing import List
# Globals
TRANSFERWISE_BASE_URI = None
FIREFLY_BASE_URI = None
category_map = {}
currency_accounts = {}
logging.getLogger().setLevel(logging.INFO)
http = urllib3.PoolManager()
... | 0.595375 | 0.145358 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
import torch.nn as nn
import numpy as np
import json
from json import encoder
import random
import string
import time
import os
import sys
from . import misc as utils
from .eval_utils import getCO... | captioning/utils/eval_multi.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
import torch.nn as nn
import numpy as np
import json
from json import encoder
import random
import string
import time
import os
import sys
from . import misc as utils
from .eval_utils import getCO... | 0.424173 | 0.117673 |
from keras.models import Sequential
from keras.layers.convolutional import Conv2D, Convolution2DTranspose, UpSampling2D
from keras.layers.pooling import MaxPool2D
from keras import metrics
from keras.layers import Input
from keras.layers.merge import concatenate
from keras.models import Model
from keras.applications im... | model.py | from keras.models import Sequential
from keras.layers.convolutional import Conv2D, Convolution2DTranspose, UpSampling2D
from keras.layers.pooling import MaxPool2D
from keras import metrics
from keras.layers import Input
from keras.layers.merge import concatenate
from keras.models import Model
from keras.applications im... | 0.895836 | 0.673156 |
import numpy
from csb.statistics.pdf.parameterized import Parameter
from binf import ArrayParameter
from binf.pdf.priors import AbstractPrior
from .sphere_prior_c import sphere_prior_gradient
class SpherePrior(AbstractPrior):
def __init__(self, name, sphere_radius, sphere_k, n_structures,
bead... | ensemble_hic/sphere_prior.py | import numpy
from csb.statistics.pdf.parameterized import Parameter
from binf import ArrayParameter
from binf.pdf.priors import AbstractPrior
from .sphere_prior_c import sphere_prior_gradient
class SpherePrior(AbstractPrior):
def __init__(self, name, sphere_radius, sphere_k, n_structures,
bead... | 0.937996 | 0.476519 |
import logging
from nni.assessor import Assessor, AssessResult
logger = logging.getLogger('medianstop_Assessor')
class MedianstopAssessor(Assessor):
"""MedianstopAssessor is The median stopping rule stops a pending trial X at step S
if the trial’s best objective value by step S is strictly worse than the me... | src/sdk/pynni/nni/medianstop_assessor/medianstop_assessor.py |
import logging
from nni.assessor import Assessor, AssessResult
logger = logging.getLogger('medianstop_Assessor')
class MedianstopAssessor(Assessor):
"""MedianstopAssessor is The median stopping rule stops a pending trial X at step S
if the trial’s best objective value by step S is strictly worse than the me... | 0.724675 | 0.328664 |
import queue
import copy, json
from .newupgradebasetest import NewUpgradeBaseTest
from remote.remote_util import RemoteMachineShellConnection, RemoteUtilHelper
from couchbase_helper.documentgenerator import BlobGenerator
from membase.api.rest_client import RestConnection, RestHelper
from membase.api.exception import Re... | pytests/upgrade/xdcr_upgrade_collections.py | import queue
import copy, json
from .newupgradebasetest import NewUpgradeBaseTest
from remote.remote_util import RemoteMachineShellConnection, RemoteUtilHelper
from couchbase_helper.documentgenerator import BlobGenerator
from membase.api.rest_client import RestConnection, RestHelper
from membase.api.exception import Re... | 0.433022 | 0.128717 |
import argparse
import asyncio
from eth_keys import keys
import signal
from quarkchain.p2p import ecies
from quarkchain.p2p import kademlia
from quarkchain.p2p.cancel_token.token import CancelToken
from quarkchain.p2p.p2p_server import BaseServer
from quarkchain.p2p.tools.paragon import ParagonContext, ParagonPeer, Pa... | quarkchain/p2p/poc/paragon_node.py | import argparse
import asyncio
from eth_keys import keys
import signal
from quarkchain.p2p import ecies
from quarkchain.p2p import kademlia
from quarkchain.p2p.cancel_token.token import CancelToken
from quarkchain.p2p.p2p_server import BaseServer
from quarkchain.p2p.tools.paragon import ParagonContext, ParagonPeer, Pa... | 0.427277 | 0.114567 |
from SBaaS_base.postgresql_orm_base import *
class data_stage01_resequencing_endpoints(Base):
#TODO: rename to _group
__tablename__ = 'data_stage01_resequencing_endpoints'
id = Column(Integer, Sequence('data_stage01_resequencing_endpoints_id_seq'), primary_key=True)
experiment_id = Column(String(50))
... | SBaaS_resequencing/stage01_resequencing_endpoints_postgresql_models.py | from SBaaS_base.postgresql_orm_base import *
class data_stage01_resequencing_endpoints(Base):
#TODO: rename to _group
__tablename__ = 'data_stage01_resequencing_endpoints'
id = Column(Integer, Sequence('data_stage01_resequencing_endpoints_id_seq'), primary_key=True)
experiment_id = Column(String(50))
... | 0.178956 | 0.129733 |
from discord import *
from discord.ext.commands import *
class HelpButtons(ui.View):
def __init__(self):
super().__init__(timeout=None)
@ui.button(label="Home", emoji="<:home_button:918467896592719902>", style=ButtonStyle.red)
async def home(self, button: ui.Button, interaction: Interaction):
... | cogs/help-command.py | from discord import *
from discord.ext.commands import *
class HelpButtons(ui.View):
def __init__(self):
super().__init__(timeout=None)
@ui.button(label="Home", emoji="<:home_button:918467896592719902>", style=ButtonStyle.red)
async def home(self, button: ui.Button, interaction: Interaction):
... | 0.648132 | 0.211946 |
from tonclient.decorators import result_as
from tonclient.module import TonModule
from tonclient.types import ParamsOfRunExecutor, ResultOfRunExecutor, \
ParamsOfRunTvm, ResultOfRunTvm, ParamsOfRunGet, ResultOfRunGet
class TonTvm(TonModule):
""" Free TON tvm SDK API implementation """
@result_as(classnam... | tonclient/tvm.py | from tonclient.decorators import result_as
from tonclient.module import TonModule
from tonclient.types import ParamsOfRunExecutor, ResultOfRunExecutor, \
ParamsOfRunTvm, ResultOfRunTvm, ParamsOfRunGet, ResultOfRunGet
class TonTvm(TonModule):
""" Free TON tvm SDK API implementation """
@result_as(classnam... | 0.865778 | 0.532304 |
from openstack import connection
# create connection
username = "xxxxxx"
password = "<PASSWORD>"
userDomainId = "xxxxxxxxxxxxxxxxxxxxxxxxxxxx" # user account ID
auth_url = "xxxxxxxxxxxxxxxxxxxxxxxxxxxx" # endpoint url
if __name__ == '__main__':
conn = connection.Connection(auth_url=auth_url,
... | examples/bss/v1/period_order.py |
from openstack import connection
# create connection
username = "xxxxxx"
password = "<PASSWORD>"
userDomainId = "xxxxxxxxxxxxxxxxxxxxxxxxxxxx" # user account ID
auth_url = "xxxxxxxxxxxxxxxxxxxxxxxxxxxx" # endpoint url
if __name__ == '__main__':
conn = connection.Connection(auth_url=auth_url,
... | 0.460289 | 0.228404 |
import numpy as np
import scipy.stats
from sklearn.cluster import KMeans, MiniBatchKMeans
from sklearn.preprocessing import StandardScaler
from skimage.feature import local_binary_pattern
from skimage.color import rgb2gray
def calculate_change_values(images, masks, n_clusters, num_samples_for_kmeans=10000, use_mini... | utils/tcm_algorithms.py | import numpy as np
import scipy.stats
from sklearn.cluster import KMeans, MiniBatchKMeans
from sklearn.preprocessing import StandardScaler
from skimage.feature import local_binary_pattern
from skimage.color import rgb2gray
def calculate_change_values(images, masks, n_clusters, num_samples_for_kmeans=10000, use_mini... | 0.858303 | 0.782372 |
import torch
import torch.nn as nn
import torch.nn.functional as F
class RnnCommon(nn.Module):
def __init__(self,
input_size,
hidden_size,
layer_num,
batch_first,
drop_out = 0.0,
biderction=True,
... | baseline/lstm/model/RNN_Common.py | import torch
import torch.nn as nn
import torch.nn.functional as F
class RnnCommon(nn.Module):
def __init__(self,
input_size,
hidden_size,
layer_num,
batch_first,
drop_out = 0.0,
biderction=True,
... | 0.783285 | 0.298447 |
import atexit
import datetime
import functools
import hashlib
import logging
import os
import socket
import threading
import time
import traceback
from copy import deepcopy
import elasticsearch
import elasticsearch.helpers
class Constants:
HOST_KEY = 'host'
PROCESS_KEY = 'process'
THREAD_NAME_KEY = 'thre... | elasticsearch_util/helper.py | import atexit
import datetime
import functools
import hashlib
import logging
import os
import socket
import threading
import time
import traceback
from copy import deepcopy
import elasticsearch
import elasticsearch.helpers
class Constants:
HOST_KEY = 'host'
PROCESS_KEY = 'process'
THREAD_NAME_KEY = 'thre... | 0.517083 | 0.21032 |
import mathutils
import numpy as np
import sys
import os
import json
if len(sys.argv) < 5:
print(f"""Not enough arguemnts!\n Use : {sys.argv[0]}
[/path/manifest.json]
=> [BL=1-2,2-3]
=> [PBL=1-2,2-3]
=> [NM=1,2,3]
=> [CIs=A|1,2,3]
=> [CSFs=A|1,2,3]
=> [CSFv=label:1,1,0,0_label:0,0,1,1]... | analysis/plotter.py | import mathutils
import numpy as np
import sys
import os
import json
if len(sys.argv) < 5:
print(f"""Not enough arguemnts!\n Use : {sys.argv[0]}
[/path/manifest.json]
=> [BL=1-2,2-3]
=> [PBL=1-2,2-3]
=> [NM=1,2,3]
=> [CIs=A|1,2,3]
=> [CSFs=A|1,2,3]
=> [CSFv=label:1,1,0,0_label:0,0,1,1]... | 0.278159 | 0.291006 |
import random
class UserAgent:
pc_agents = [
'Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_8; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50',
'Moz... | python/img/reptiles_imgs/util/user_agents.py | import random
class UserAgent:
pc_agents = [
'Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_8; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50',
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50',
'Moz... | 0.393502 | 0.047758 |
import sys
import pyCardDeck
from pyCardDeck.cards import PokerCard
class person:
def __init__(self, name: str):
self.h = []
self.n = name
def __str__(self):
return self.n
class BlackTheJack:
def __init__(self, persons: List[Person]):
self.d = pyCardDeck.Deck()
s... | task2.py | import sys
import pyCardDeck
from pyCardDeck.cards import PokerCard
class person:
def __init__(self, name: str):
self.h = []
self.n = name
def __str__(self):
return self.n
class BlackTheJack:
def __init__(self, persons: List[Person]):
self.d = pyCardDeck.Deck()
s... | 0.251096 | 0.219861 |
import pytest
import re
import secrets
from botocore.exceptions import ClientError
from aws_error_utils import (
get_aws_error_info,
aws_error_matches,
catch_aws_error,
ALL_CODES,
ALL_OPERATIONS,
errors,
make_aws_error,
)
rand_str = lambda: secrets.token_hex(4)
def _make_test_error(
... | test_aws_error_utils.py |
import pytest
import re
import secrets
from botocore.exceptions import ClientError
from aws_error_utils import (
get_aws_error_info,
aws_error_matches,
catch_aws_error,
ALL_CODES,
ALL_OPERATIONS,
errors,
make_aws_error,
)
rand_str = lambda: secrets.token_hex(4)
def _make_test_error(
... | 0.540924 | 0.319891 |
# pylint: disable=line-too-long
# pylint: disable=too-many-lines
import json
from azure.cli.testsdk import (
ResourceGroupPreparer,
ScenarioTest,
StorageAccountPreparer
)
from azure.cli.testsdk.scenario_tests import AllowLargeResponse
class StreamAnalyticsClientTest(ScenarioTest):
@ResourceGroupPre... | src/stream-analytics/azext_stream_analytics/tests/latest/test_stream_analytics_commands.py |
# pylint: disable=line-too-long
# pylint: disable=too-many-lines
import json
from azure.cli.testsdk import (
ResourceGroupPreparer,
ScenarioTest,
StorageAccountPreparer
)
from azure.cli.testsdk.scenario_tests import AllowLargeResponse
class StreamAnalyticsClientTest(ScenarioTest):
@ResourceGroupPre... | 0.52342 | 0.177597 |
#%%
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
from sklearn.preprocessing import MinMaxScaler
from skmultiflow.data import DataStream
from skmultiflow.evaluation import EvaluatePrequential
from skmultiflow.trees import RegressionHAT, RegressionHoeffdingTr... | dataset.py |
#%%
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
from sklearn.preprocessing import MinMaxScaler
from skmultiflow.data import DataStream
from skmultiflow.evaluation import EvaluatePrequential
from skmultiflow.trees import RegressionHAT, RegressionHoeffdingTr... | 0.300027 | 0.36659 |
import math
import unittest
import arc.species.converter as converter
import arc.species.vectors as vectors
from arc.species.species import ARCSpecies
class TestVectors(unittest.TestCase):
"""
Contains unit tests for the vectors module
"""
@classmethod
def setUpClass(cls):
"""
A ... | arc/species/vectorsTest.py | import math
import unittest
import arc.species.converter as converter
import arc.species.vectors as vectors
from arc.species.species import ARCSpecies
class TestVectors(unittest.TestCase):
"""
Contains unit tests for the vectors module
"""
@classmethod
def setUpClass(cls):
"""
A ... | 0.815416 | 0.748858 |
import os
import numpy as np
import pytest
from webbpsf import roman, measure_fwhm
from astropy.table import Table
from numpy import allclose
GRISM_FILTERS = roman.GRISM_FILTERS
PRISM_FILTERS = roman.PRISM_FILTERS
def detector_substr(detector):
"""
change detector string to match file format
(e.g., "SCA0... | webbpsf/tests/test_roman.py | import os
import numpy as np
import pytest
from webbpsf import roman, measure_fwhm
from astropy.table import Table
from numpy import allclose
GRISM_FILTERS = roman.GRISM_FILTERS
PRISM_FILTERS = roman.PRISM_FILTERS
def detector_substr(detector):
"""
change detector string to match file format
(e.g., "SCA0... | 0.770033 | 0.359224 |
from selenium import webdriver
from selenium.webdriver import ActionChains
from bs4 import BeautifulSoup
from time import sleep
from selenium.webdriver.common.keys import Keys
from file_io import *
import textwrap
print('Thank you for using Simple Quora Backup')
print('This will backup your BOOKMARKS to a text file i... | backup_bookmarks.py | from selenium import webdriver
from selenium.webdriver import ActionChains
from bs4 import BeautifulSoup
from time import sleep
from selenium.webdriver.common.keys import Keys
from file_io import *
import textwrap
print('Thank you for using Simple Quora Backup')
print('This will backup your BOOKMARKS to a text file i... | 0.162812 | 0.075414 |
from typing import Dict, List, Optional, Union, Tuple
import csv
import io
import os
import numpy as np
import paddle
from paddlehub.env import DATA_HOME
from paddlehub.text.bert_tokenizer import BertTokenizer
from paddlehub.text.tokenizer import CustomTokenizer
from paddlehub.utils.log import logger
from paddlehub.u... | paddlehub/datasets/base_nlp_dataset.py | from typing import Dict, List, Optional, Union, Tuple
import csv
import io
import os
import numpy as np
import paddle
from paddlehub.env import DATA_HOME
from paddlehub.text.bert_tokenizer import BertTokenizer
from paddlehub.text.tokenizer import CustomTokenizer
from paddlehub.utils.log import logger
from paddlehub.u... | 0.895651 | 0.258782 |
"""This is an example to train a task with parallel sampling."""
import click
from garage import wrap_experiment
from garage.envs import GarageEnv
from garage.experiment import LocalTFRunner
from garage.experiment.deterministic import set_seed
from garage.np.baselines import LinearFeatureBaseline
from garage.tf.algos ... | examples/tf/trpo_cartpole_batch_sampler.py | """This is an example to train a task with parallel sampling."""
import click
from garage import wrap_experiment
from garage.envs import GarageEnv
from garage.experiment import LocalTFRunner
from garage.experiment.deterministic import set_seed
from garage.np.baselines import LinearFeatureBaseline
from garage.tf.algos ... | 0.909846 | 0.424651 |
import json
import requests
import json
import os
from dotenv import load_dotenv
# Load env
load_dotenv()
bearer_token = os.getenv("BEARER_TOKEN")
##chatid = os.getenv("CHATID")
def bearer_oauth(r):
r.headers["Authorization"] = f"Bearer {bearer_token}"
r.headers["User-Agent"] = "v2FilteredStreamPython"
return r
... | doukichan.py | import json
import requests
import json
import os
from dotenv import load_dotenv
# Load env
load_dotenv()
bearer_token = os.getenv("BEARER_TOKEN")
##chatid = os.getenv("CHATID")
def bearer_oauth(r):
r.headers["Authorization"] = f"Bearer {bearer_token}"
r.headers["User-Agent"] = "v2FilteredStreamPython"
return r
... | 0.150715 | 0.078926 |
import requests
import pymongo
class DataBase:
def __init__(self):
self.client = None
self.db = None
self.col = None
self.connect_init()
def connect_init(self):
# 下面这个是哪个数据库来着？？？
# self.client = pymongo.MongoClient("mongodb+srv://LanceLiang:<EMAIL>."
# ... | database.py | import requests
import pymongo
class DataBase:
def __init__(self):
self.client = None
self.db = None
self.col = None
self.connect_init()
def connect_init(self):
# 下面这个是哪个数据库来着？？？
# self.client = pymongo.MongoClient("mongodb+srv://LanceLiang:<EMAIL>."
# ... | 0.110435 | 0.108969 |
import re
import pytest
from errors import TemplateSyntaxError
from template import Template
def tryRender(text, ctx=None, expected=None):
actual = Template(text).render(ctx or {})
if expected:
assert actual == expected
def assertSyntaxError(text, ctx=None, msg=None):
with pytest.raises(Templa... | template_test.py | import re
import pytest
from errors import TemplateSyntaxError
from template import Template
def tryRender(text, ctx=None, expected=None):
actual = Template(text).render(ctx or {})
if expected:
assert actual == expected
def assertSyntaxError(text, ctx=None, msg=None):
with pytest.raises(Templa... | 0.397237 | 0.358437 |
from __future__ import annotations
from typing import Sequence, Tuple, Union
from . import _vroom
class LocationIndex(_vroom.Location):
"""Index in the custom duration matrix for where to find distances.
Attributes:
index:
Location index referring to column in the duration
ma... | src/vroom/location.py | from __future__ import annotations
from typing import Sequence, Tuple, Union
from . import _vroom
class LocationIndex(_vroom.Location):
"""Index in the custom duration matrix for where to find distances.
Attributes:
index:
Location index referring to column in the duration
ma... | 0.968186 | 0.662455 |
import os
import warnings
from RLTest import Env
class FlowTestsBase(object):
def __init__(self):
self.env = Env()
redis_con = self.env.getConnection()
redis_con.execute_command("FLUSHALL")
def _assert_equalish(self, a, b, e=0.05):
delta = a * e
diff = abs(a-b)
... | tests/flow/base.py | import os
import warnings
from RLTest import Env
class FlowTestsBase(object):
def __init__(self):
self.env = Env()
redis_con = self.env.getConnection()
redis_con.execute_command("FLUSHALL")
def _assert_equalish(self, a, b, e=0.05):
delta = a * e
diff = abs(a-b)
... | 0.54698 | 0.336713 |
from __future__ import annotations
from aioresponses import aioresponses
from bold_smart_lock.auth import Auth
from bold_smart_lock.const import API_URI, AUTHENTICATIONS_ENDPOINT, POST_HEADERS, VALIDATIONS_ENDPOINT
import aiohttp
import json
import os
def load_fixture(filename: str, raw: bool = False):
"""Load a... | tests/helpers.py | from __future__ import annotations
from aioresponses import aioresponses
from bold_smart_lock.auth import Auth
from bold_smart_lock.const import API_URI, AUTHENTICATIONS_ENDPOINT, POST_HEADERS, VALIDATIONS_ENDPOINT
import aiohttp
import json
import os
def load_fixture(filename: str, raw: bool = False):
"""Load a... | 0.61115 | 0.102709 |
import json, subprocess
from ... pyaz_utils import get_cli_name, get_params
def show(resource_group, profile_name, endpoint_name):
params = get_params(locals())
command = "az afd endpoint show " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subp... | test/pyaz/afd/endpoint/__init__.py | import json, subprocess
from ... pyaz_utils import get_cli_name, get_params
def show(resource_group, profile_name, endpoint_name):
params = get_params(locals())
command = "az afd endpoint show " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subp... | 0.209712 | 0.062245 |
from attr import attrib, NOTHING
from related import _init_fields, types
from collections import OrderedDict
from .converters import to_sequence_field_w_str, to_leaf_mapping_field, to_eval_str, identity
from . import dispatchers # to load the dispatcher
class UNSPECIFIED(object):
pass
def AnyField(default=NOTH... | kipoi_utils/external/related/fields.py | from attr import attrib, NOTHING
from related import _init_fields, types
from collections import OrderedDict
from .converters import to_sequence_field_w_str, to_leaf_mapping_field, to_eval_str, identity
from . import dispatchers # to load the dispatcher
class UNSPECIFIED(object):
pass
def AnyField(default=NOTH... | 0.777807 | 0.264563 |
from functools import lru_cache
import logging
import os
from box import Box
from tavern.util.dict_util import format_keys
from tavern.util.general import load_global_config
from tavern.util.strict_util import StrictLevel
logger = logging.getLogger(__name__)
def add_parser_options(parser_addoption, with_defaults=T... | tavern/testutils/pytesthook/util.py | from functools import lru_cache
import logging
import os
from box import Box
from tavern.util.dict_util import format_keys
from tavern.util.general import load_global_config
from tavern.util.strict_util import StrictLevel
logger = logging.getLogger(__name__)
def add_parser_options(parser_addoption, with_defaults=T... | 0.585812 | 0.171651 |
import argparse
from pathlib import Path
import json
import shutil
import sys
from termcolor import colored, cprint
from pprint import pprint
def command_interface(title=None):
parser = argparse.ArgumentParser(description=title)
parser.add_argument('--config', '-cf', default=None, help='training configs json ... | util/command_interface.py | import argparse
from pathlib import Path
import json
import shutil
import sys
from termcolor import colored, cprint
from pprint import pprint
def command_interface(title=None):
parser = argparse.ArgumentParser(description=title)
parser.add_argument('--config', '-cf', default=None, help='training configs json ... | 0.269422 | 0.055311 |
from cme.helpers import create_ps_command, get_ps_script, obfs_ps_script, gen_random_string, validate_ntlm, write_log
from datetime import datetime
import re
class CMEModule:
'''
Executes PowerSploit's Invoke-Mimikatz.ps1 script
Module by @byt3bl33d3r
'''
name = 'mimikatz'
description... | cme/modules/mimikatz.py | from cme.helpers import create_ps_command, get_ps_script, obfs_ps_script, gen_random_string, validate_ntlm, write_log
from datetime import datetime
import re
class CMEModule:
'''
Executes PowerSploit's Invoke-Mimikatz.ps1 script
Module by @byt3bl33d3r
'''
name = 'mimikatz'
description... | 0.268078 | 0.163445 |
import matplotlib as mpl
mpl.use('TkAgg')
import time
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import tkinter as Tk
import snake_classes
# Hacky global variables (shame on you)
root = None
reset_button = None
snake = None
ax = None
canvas = N... | meandering_snake/meandering_snake.py | import matplotlib as mpl
mpl.use('TkAgg')
import time
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import tkinter as Tk
import snake_classes
# Hacky global variables (shame on you)
root = None
reset_button = None
snake = None
ax = None
canvas = N... | 0.413359 | 0.168309 |
import copy
import itertools
import sys
class RecordClass(object):
__slots__ = ()
required_attributes = ()
optional_attributes = {}
def __init__(self, *args, **kwargs):
# First, check for the maximum number of arguments.
required_attributes = type(self).required_attributes
if ... | mutablerecords/records.py | import copy
import itertools
import sys
class RecordClass(object):
__slots__ = ()
required_attributes = ()
optional_attributes = {}
def __init__(self, *args, **kwargs):
# First, check for the maximum number of arguments.
required_attributes = type(self).required_attributes
if ... | 0.604399 | 0.14448 |
import sys
PY2 = sys.version_info[0] == 2
def _identity(x): # pragma: no cover
return x
__all__ = [
'BytesIO',
'PY2',
'StringIO',
'ascii_lowercase',
'cmp',
'configparser',
'console_to_str',
'imap',
'input',
'integer_types',
'iteritems',
'iterkeys',
'itervalue... | mt940/_compat.py | import sys
PY2 = sys.version_info[0] == 2
def _identity(x): # pragma: no cover
return x
__all__ = [
'BytesIO',
'PY2',
'StringIO',
'ascii_lowercase',
'cmp',
'configparser',
'console_to_str',
'imap',
'input',
'integer_types',
'iteritems',
'iterkeys',
'itervalue... | 0.233619 | 0.238683 |
from socket import inet_aton
from struct import pack, unpack
from types import IntType, StringType, TupleType
from ncrypt.digest import DigestType, Digest
from ncrypt.rsa import RSAKey, RSAError
from nitro.bencode import encode
from cspace.dht.params import DHT_ID_LENGTH, DHT_ID_MAX
digestType = DigestType( 'S... | cspace/dht/util.py | from socket import inet_aton
from struct import pack, unpack
from types import IntType, StringType, TupleType
from ncrypt.digest import DigestType, Digest
from ncrypt.rsa import RSAKey, RSAError
from nitro.bencode import encode
from cspace.dht.params import DHT_ID_LENGTH, DHT_ID_MAX
digestType = DigestType( 'S... | 0.351089 | 0.379723 |
from random import randint
def dice():
num = randint(1, 6)
return num
for i in range (5):
result = dice(5)
print(result)
from random import randint
def dice():
num = randint(1, 6)
return num
for i in range(5):
dice1 = dice()
dice2 = dice()
sum = dice1 + dic... | class-notes/chapter_10/c10-1.py |
from random import randint
def dice():
num = randint(1, 6)
return num
for i in range (5):
result = dice(5)
print(result)
from random import randint
def dice():
num = randint(1, 6)
return num
for i in range(5):
dice1 = dice()
dice2 = dice()
sum = dice1 + dic... | 0.236957 | 0.211987 |
import json
class RPCObject:
"""Just group of other classes"""
__slots__ = ()
class RPCError(BaseException, RPCObject):
"""JSON-RPC 2.0 error object"""
__slots__ = 'code', 'message', 'data'
def __init__(self, code, message='error', data=None):
self.code, self.message, self.data = code, m... | dcnnt/common/jsonrpc.py | import json
class RPCObject:
"""Just group of other classes"""
__slots__ = ()
class RPCError(BaseException, RPCObject):
"""JSON-RPC 2.0 error object"""
__slots__ = 'code', 'message', 'data'
def __init__(self, code, message='error', data=None):
self.code, self.message, self.data = code, m... | 0.558207 | 0.203173 |
from functools import reduce
from operator import mul
from typing import Any
import networkx as nx
import numpy as np
import pandas as pd
from sklearn.base import BaseEstimator, ClassifierMixin
from sklearn.metrics import mutual_info_score
from sklearn.metrics.cluster import contingency_matrix
from sklearn.utils.mul... | src/hw4/expectation_maximization.py |
from functools import reduce
from operator import mul
from typing import Any
import networkx as nx
import numpy as np
import pandas as pd
from sklearn.base import BaseEstimator, ClassifierMixin
from sklearn.metrics import mutual_info_score
from sklearn.metrics.cluster import contingency_matrix
from sklearn.utils.mul... | 0.906624 | 0.503601 |
import os, sys, argparse, errno, yaml, time, datetime
import rospy, rospkg
import numpy as np
from road_following.msg import Inference
from road_following.cfg import PID_ControlConfig
from road_following.srv import save_action, save_actionResponse
from rosky_msgs.msg import Twist2DStamped
from dynamic_reconfigure.serv... | catkin_ws/src/deep_learning/road_following/src/road_inference_to_reaction.py | import os, sys, argparse, errno, yaml, time, datetime
import rospy, rospkg
import numpy as np
from road_following.msg import Inference
from road_following.cfg import PID_ControlConfig
from road_following.srv import save_action, save_actionResponse
from rosky_msgs.msg import Twist2DStamped
from dynamic_reconfigure.serv... | 0.36886 | 0.095476 |
import unittest
class TestCantor(unittest.TestCase):
def test_cantor_initiator(self):
import torch
from torch.autograd import Variable
import neurofire.models.cantor.cantor as cantor
# Build model
initiator = cantor.CantorInitiator(3, base_width=30)
# Build dummy i... | tests/neurofire/models/test_cantor.py | import unittest
class TestCantor(unittest.TestCase):
def test_cantor_initiator(self):
import torch
from torch.autograd import Variable
import neurofire.models.cantor.cantor as cantor
# Build model
initiator = cantor.CantorInitiator(3, base_width=30)
# Build dummy i... | 0.667581 | 0.605099 |
import streamlit as st
import math
import numpy as np
from flask import Flask, request, jsonify, render_template
from model import Model
app = Flask(__name__)
@app.route('/')
def home():
return render_template('login.html')
@app.route('/realapp')
def realapp():
"""
Returns
-------
Run App
... | app.py | import streamlit as st
import math
import numpy as np
from flask import Flask, request, jsonify, render_template
from model import Model
app = Flask(__name__)
@app.route('/')
def home():
return render_template('login.html')
@app.route('/realapp')
def realapp():
"""
Returns
-------
Run App
... | 0.385375 | 0.258097 |
import requests
from typing import Callable, Union, Optional
from .objects import SendableMessage
def get_session_requests():
session = requests.Session()
session.headers['Accept'] = 'application/json'
session.headers['Content-Type'] = 'application/x-www-form-urlencoded'
return session
class VKChatB... | vkchatbot/__init__.py | import requests
from typing import Callable, Union, Optional
from .objects import SendableMessage
def get_session_requests():
session = requests.Session()
session.headers['Accept'] = 'application/json'
session.headers['Content-Type'] = 'application/x-www-form-urlencoded'
return session
class VKChatB... | 0.766075 | 0.057812 |
# Merge Sort function using loops
def merge_sort(array):
# Check if length of array is more than 1
if len(array) > 1:
# Getting middle element index
mid = len(array) // 2
left_half = array[:mid]
right_half = array[mid:]
# Merge sorting left half
left = merge_sort(left_half)
# Merge sorting rig... | Sorting Algorithms/Merge Sort Algorithm/Python/MergeSort.py |
# Merge Sort function using loops
def merge_sort(array):
# Check if length of array is more than 1
if len(array) > 1:
# Getting middle element index
mid = len(array) // 2
left_half = array[:mid]
right_half = array[mid:]
# Merge sorting left half
left = merge_sort(left_half)
# Merge sorting rig... | 0.605799 | 0.803097 |
from typing import Optional
import numpy
import torch
import torch.autograd
from torch import nn
from ..base import EntityRelationEmbeddingModel
from ...losses import Loss
from ...nn.init import xavier_uniform_
from ...regularizers import Regularizer
from ...triples import TriplesFactory
from ...typing import DeviceH... | src/pykeen/models/unimodal/proj_e.py | from typing import Optional
import numpy
import torch
import torch.autograd
from torch import nn
from ..base import EntityRelationEmbeddingModel
from ...losses import Loss
from ...nn.init import xavier_uniform_
from ...regularizers import Regularizer
from ...triples import TriplesFactory
from ...typing import DeviceH... | 0.971913 | 0.840652 |
import logging
from django.conf import settings
from django.db import models
# Instantiate logger.
logger = logging.getLogger(__name__)
class ApiKey(models.Model):
"""
Keys used for authenticating API requests.
"""
user = models.ForeignKey(settings.AUTH_USER_MODEL)
key = models.CharField(max_leng... | yapi/models.py | import logging
from django.conf import settings
from django.db import models
# Instantiate logger.
logger = logging.getLogger(__name__)
class ApiKey(models.Model):
"""
Keys used for authenticating API requests.
"""
user = models.ForeignKey(settings.AUTH_USER_MODEL)
key = models.CharField(max_leng... | 0.679285 | 0.097907 |
"""Window pane toolbar base class."""
from typing import Any, Callable, List, Optional
import functools
from prompt_toolkit.filters import Condition, has_focus
from prompt_toolkit.layout import (
ConditionalContainer,
FormattedTextControl,
VSplit,
Window,
WindowAlign,
)
import pw_console.style
fr... | pw_console/py/pw_console/widgets/window_pane_toolbar.py | """Window pane toolbar base class."""
from typing import Any, Callable, List, Optional
import functools
from prompt_toolkit.filters import Condition, has_focus
from prompt_toolkit.layout import (
ConditionalContainer,
FormattedTextControl,
VSplit,
Window,
WindowAlign,
)
import pw_console.style
fr... | 0.867162 | 0.068382 |
from opentrons import protocol_api
import pandas as pd
import decimal, math
#Not yet implement labware compatibility and constrains
metadata = {'apiLevel': '2.8'}
def run(protocol: protocol_api.ProtocolContext):
pipette_name = 'p300_single'
#file path
df = pd.read_csv(r'test/generated_test_files/random_p... | distribute.py | from opentrons import protocol_api
import pandas as pd
import decimal, math
#Not yet implement labware compatibility and constrains
metadata = {'apiLevel': '2.8'}
def run(protocol: protocol_api.ProtocolContext):
pipette_name = 'p300_single'
#file path
df = pd.read_csv(r'test/generated_test_files/random_p... | 0.242564 | 0.275443 |
import numpy as np
import eli5
from eli5.sklearn import PermutationImportance
from eli5.permutation_importance import get_score_importances
class PermutationImportance_(object):
"""
see https://eli5.readthedocs.io/en/latest/blackbox/permutation_importance.html
and see https://www.kaggle.com/dansbecker/per... | eslearn/utils/permutation_importance.py | import numpy as np
import eli5
from eli5.sklearn import PermutationImportance
from eli5.permutation_importance import get_score_importances
class PermutationImportance_(object):
"""
see https://eli5.readthedocs.io/en/latest/blackbox/permutation_importance.html
and see https://www.kaggle.com/dansbecker/per... | 0.839306 | 0.517815 |