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 icecube.icetray import I3Units, logging
from icecube.dataclasses import I3Constants
from icecube.clsim import I3CLSimFunctionFromTable, I3CLSimFunctionPolynomial
from os.path import expandvars
def GetDEggAcceptance(active_fraction=1.):
"""
:param active_fraction: the fraction of the head-on geometric are... | clsim/python/Gen2Sensors.py | from icecube.icetray import I3Units, logging
from icecube.dataclasses import I3Constants
from icecube.clsim import I3CLSimFunctionFromTable, I3CLSimFunctionPolynomial
from os.path import expandvars
def GetDEggAcceptance(active_fraction=1.):
"""
:param active_fraction: the fraction of the head-on geometric are... | 0.760117 | 0.389024 |
import os
IMAGE_NET_PATH = '/data/weixin/data/imagenet'
GROUP_TESTING_DATASET_PATH = '/data/weixin/data/GroupTestingDataset'
# firearm now
firearm_list = [
'n02749479', # assault rifle
'n04086273', # revolver
'n04090263', # rifle #
] # and we will pick 50 images
### remove classes like holster that ... | data/dataset_init_scripts/create_dataset_from_imagenet.py | import os
IMAGE_NET_PATH = '/data/weixin/data/imagenet'
GROUP_TESTING_DATASET_PATH = '/data/weixin/data/GroupTestingDataset'
# firearm now
firearm_list = [
'n02749479', # assault rifle
'n04086273', # revolver
'n04090263', # rifle #
] # and we will pick 50 images
### remove classes like holster that ... | 0.139866 | 0.118258 |
import logging
from math import radians
from random import uniform
import bpy
from mathutils import Euler, Vector, Color
LOGGER = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
def update_scene(scene):
"""Update the scene before rendering."""
LOGGER.info("Hello!")
cube = scene.obje... | scene.py | import logging
from math import radians
from random import uniform
import bpy
from mathutils import Euler, Vector, Color
LOGGER = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
def update_scene(scene):
"""Update the scene before rendering."""
LOGGER.info("Hello!")
cube = scene.obje... | 0.854217 | 0.387198 |
from .graphqlclient import GraphQLParam, NebMixin
from .common import PageInput, read_value
from .filters import UuidFilter, IntFilter
from .sorting import SortDirection
from .tokens import TokenResponse
class LunSort:
"""A sort object for LUNs
Allows sorting LUNs on common properties. The sort object allow... | nebpyclient/api/luns.py |
from .graphqlclient import GraphQLParam, NebMixin
from .common import PageInput, read_value
from .filters import UuidFilter, IntFilter
from .sorting import SortDirection
from .tokens import TokenResponse
class LunSort:
"""A sort object for LUNs
Allows sorting LUNs on common properties. The sort object allow... | 0.885699 | 0.45744 |
import os
import sqlite3
import typing
from .config_base import ConfigBase
from .dir_hash import DirHash
class HashManager(object):
_instance: 'HashManager' or None = None
@staticmethod
def get_instance(db_file_name: str or None = None, config: ConfigBase or None = None) -> 'HashManager':
if Has... | dhunter/core/hash_manager.py | import os
import sqlite3
import typing
from .config_base import ConfigBase
from .dir_hash import DirHash
class HashManager(object):
_instance: 'HashManager' or None = None
@staticmethod
def get_instance(db_file_name: str or None = None, config: ConfigBase or None = None) -> 'HashManager':
if Has... | 0.65202 | 0.065965 |
import numpy as np
import pandas as pd
import pdb
import pytest
import os
import sys
from . import data
from .data import collective
import pylife.strength.miner as miner
import pylife.strength.meanstress
from pylife.strength import miner
from pylife.stress.rainflow import *
from pylife.stress.timesignal import Time... | tests/strength/test_miner.py |
import numpy as np
import pandas as pd
import pdb
import pytest
import os
import sys
from . import data
from .data import collective
import pylife.strength.miner as miner
import pylife.strength.meanstress
from pylife.strength import miner
from pylife.stress.rainflow import *
from pylife.stress.timesignal import Time... | 0.620277 | 0.333503 |
from osm_db import SemanticChange
from collections import defaultdict
import logging
import redis
from ..services import config
log = logging.getLogger(__name__)
class ConnectionError(RuntimeError):
pass
class SemanticChangeRetriever:
def __init__(self):
self._needs_closing = False
... | app/server_interaction/changes.py | from osm_db import SemanticChange
from collections import defaultdict
import logging
import redis
from ..services import config
log = logging.getLogger(__name__)
class ConnectionError(RuntimeError):
pass
class SemanticChangeRetriever:
def __init__(self):
self._needs_closing = False
... | 0.33112 | 0.065485 |
import numpy as np
import tensorflow as tf
from tensorflow.python.util import nest
import tensorflow.contrib.layers as layers
import tensorflow.contrib.rnn as rnn
import tensorflow.contrib.cudnn_rnn as cudnn_rnn
RNN = cudnn_rnn.CudnnGRU
GRAD_CLIP_THRESHOLD = 10
# input pipe utils
def cut(
ts_value_train_slice,
... | contrib/tsperf/OrangeJuice_Pt_3Weeks_Weekly/RNN/utils.py | import numpy as np
import tensorflow as tf
from tensorflow.python.util import nest
import tensorflow.contrib.layers as layers
import tensorflow.contrib.rnn as rnn
import tensorflow.contrib.cudnn_rnn as cudnn_rnn
RNN = cudnn_rnn.CudnnGRU
GRAD_CLIP_THRESHOLD = 10
# input pipe utils
def cut(
ts_value_train_slice,
... | 0.939851 | 0.400544 |
import networkx as nx
import numpy as np
def getAddress(name):
return{
'Manuel':'499774491',
'Mario':'499841834',
'Stev': '649998996',
}[name]
def Floyd_Warshall():
G1 = nx.read_graphml("PUCP.graphml")
#Se implementará el algoritmo de floyd watshall
#para esta matriz haciendo el uso de la librería
#numpy ... | graphs.py | import networkx as nx
import numpy as np
def getAddress(name):
return{
'Manuel':'499774491',
'Mario':'499841834',
'Stev': '649998996',
}[name]
def Floyd_Warshall():
G1 = nx.read_graphml("PUCP.graphml")
#Se implementará el algoritmo de floyd watshall
#para esta matriz haciendo el uso de la librería
#numpy ... | 0.114196 | 0.32705 |
import os, sys, subprocess, bs4,signal, urllib.request, urllib.error, urllib.parse, json,socket
import requests
import re
import json
import sys
import urllib3
import core
import http.client
import socket
from time import sleep
import os as sistema
import readline, rlcompleter
from urllib.parse import quote
from socke... | core/scanner.py |
import os, sys, subprocess, bs4,signal, urllib.request, urllib.error, urllib.parse, json,socket
import requests
import re
import json
import sys
import urllib3
import core
import http.client
import socket
from time import sleep
import os as sistema
import readline, rlcompleter
from urllib.parse import quote
from socke... | 0.037857 | 0.0584 |
import collections
import datetime
import numbers
import swapper
from hashlib import sha256
# Django Imports
from django.conf import settings
from django.db import models
from django.utils.timezone import now
import utils
# Local Imports
from mwbase.models import PhoneCall, Practitioner, Visit, Connection, BasePartic... | mwpriya/models/participants.py | import collections
import datetime
import numbers
import swapper
from hashlib import sha256
# Django Imports
from django.conf import settings
from django.db import models
from django.utils.timezone import now
import utils
# Local Imports
from mwbase.models import PhoneCall, Practitioner, Visit, Connection, BasePartic... | 0.61115 | 0.070752 |
import json
import unittest
from io import BytesIO
from unittest.mock import Mock, PropertyMock, patch
from urllib.error import HTTPError, URLError
import ops
import ops.testing
import yaml
from helpers import patch_network_get
from ops.model import ActiveStatus, BlockedStatus, WaitingStatus
from ops.testing import H... | tests/unit/test_charm.py |
import json
import unittest
from io import BytesIO
from unittest.mock import Mock, PropertyMock, patch
from urllib.error import HTTPError, URLError
import ops
import ops.testing
import yaml
from helpers import patch_network_get
from ops.model import ActiveStatus, BlockedStatus, WaitingStatus
from ops.testing import H... | 0.476336 | 0.219526 |
from project.battle_field import BattleField
from project.card.card_repository import CardRepository
from project.card.magic_card import MagicCard
from project.card.trap_card import TrapCard
from project.player.advanced import Advanced
from project.player.beginner import Beginner
from project.player.player_repository i... | new_skeleton1/project/controller.py | from project.battle_field import BattleField
from project.card.card_repository import CardRepository
from project.card.magic_card import MagicCard
from project.card.trap_card import TrapCard
from project.player.advanced import Advanced
from project.player.beginner import Beginner
from project.player.player_repository i... | 0.4856 | 0.072538 |
import io
import struct
import avro.io
MAGIC_BYTE = 0
class ContextBytesIO(io.BytesIO):
''' Allow use ContextBytesIO with "with" statement '''
def __enter__(self):
return self
def __exit__(self, *args):
self.close()
return False
class MessageSerializer(object):
''' Class allo... | SchemaRegistryLibrary/Seliarizer.py | import io
import struct
import avro.io
MAGIC_BYTE = 0
class ContextBytesIO(io.BytesIO):
''' Allow use ContextBytesIO with "with" statement '''
def __enter__(self):
return self
def __exit__(self, *args):
self.close()
return False
class MessageSerializer(object):
''' Class allo... | 0.512449 | 0.129458 |
import argparse
from migen import *
from litex.boards.targets import arty
from litex.soc.interconnect import wishbone
from litex.soc.integration.soc_core import mem_decoder
from litex.soc.integration.builder import Builder
from litex.soc.cores.spi_flash import SpiFlash
# LinuxSoC ----------------------------------... | arty.py | import argparse
from migen import *
from litex.boards.targets import arty
from litex.soc.interconnect import wishbone
from litex.soc.integration.soc_core import mem_decoder
from litex.soc.integration.builder import Builder
from litex.soc.cores.spi_flash import SpiFlash
# LinuxSoC ----------------------------------... | 0.343452 | 0.137012 |
import os
from tkinter import *
import matplotlib.pyplot as plt
import ceasiompy.utils.cpacsfunctions as cpsf
import ceasiompy.utils.apmfunctions as apmf
import ceasiompy.utils.moduleinterfaces as mi
from ceasiompy.PlotAeroCoefficients.__specs__ import cpacs_inout
from ceasiompy.utils.ceasiomlogger import get_logg... | ceasiompy/PlotAeroCoefficients/plotaerocoef.py |
import os
from tkinter import *
import matplotlib.pyplot as plt
import ceasiompy.utils.cpacsfunctions as cpsf
import ceasiompy.utils.apmfunctions as apmf
import ceasiompy.utils.moduleinterfaces as mi
from ceasiompy.PlotAeroCoefficients.__specs__ import cpacs_inout
from ceasiompy.utils.ceasiomlogger import get_logg... | 0.533641 | 0.221509 |
import os.path
import shutil
import configparser
from pathlib import Path
""" Adds Config file for custom extention control """
config = configparser.ConfigParser()
config.read('config.ini')
pro_type = config['CONFIG']['PROGRAMS']
comp_type = config['CONFIG']['COMPRESSED']
doc_type = config['CONFIG']['DOCUMENTS']
mus_... | downloads_folder_sorter.py | import os.path
import shutil
import configparser
from pathlib import Path
""" Adds Config file for custom extention control """
config = configparser.ConfigParser()
config.read('config.ini')
pro_type = config['CONFIG']['PROGRAMS']
comp_type = config['CONFIG']['COMPRESSED']
doc_type = config['CONFIG']['DOCUMENTS']
mus_... | 0.284079 | 0.059319 |
import copy
from .. import config
from ..api import MusicApi
from ..song import BasicSong
class KugouApi(MusicApi):
session = copy.deepcopy(MusicApi.session)
session.headers.update(
{"referer": "http://m.kugou.com", "User-Agent": config.get("ios_headers")}
)
class KugouSong(BasicSong):
def _... | music_dl/addons/kugou.py | import copy
from .. import config
from ..api import MusicApi
from ..song import BasicSong
class KugouApi(MusicApi):
session = copy.deepcopy(MusicApi.session)
session.headers.update(
{"referer": "http://m.kugou.com", "User-Agent": config.get("ios_headers")}
)
class KugouSong(BasicSong):
def _... | 0.255065 | 0.071203 |
from os import listdir
from tqdm import tqdm
import pandas
tqdm.pandas()
df = pandas.DataFrame()
for file in listdir('../data/'):
if file == 'train.csv' or file == 'test.csv':
pass
elif file.endswith('.csv'):
print('Processing file: ' + file)
df = df.append(pandas.read_csv('../data/' +... | featurize/featurize.py | from os import listdir
from tqdm import tqdm
import pandas
tqdm.pandas()
df = pandas.DataFrame()
for file in listdir('../data/'):
if file == 'train.csv' or file == 'test.csv':
pass
elif file.endswith('.csv'):
print('Processing file: ' + file)
df = df.append(pandas.read_csv('../data/' +... | 0.206334 | 0.228264 |
import utils.logger.handler as LH
class Error(Exception):
"""Base class for exceptions in this module."""
pass
class InputError(Error):
"""Exception raised for errors in the input.
Attributes:
message -- explanation of the error
error -- actual error information
"""
def __... | OAUtils/src/utils/exception/handler.py | import utils.logger.handler as LH
class Error(Exception):
"""Base class for exceptions in this module."""
pass
class InputError(Error):
"""Exception raised for errors in the input.
Attributes:
message -- explanation of the error
error -- actual error information
"""
def __... | 0.818701 | 0.188249 |
import copy
import weakref
import collections
from ascetic.interfaces import IRelation, IRelationDescriptor
from ascetic.mappers import mapper_registry, Mapper
from ascetic.utils import to_tuple
from ascetic.exceptions import MapperNotRegistered
from ascetic.utils import cached_property, SpecialAttrAccessor, SpecialMap... | ascetic/relations.py | import copy
import weakref
import collections
from ascetic.interfaces import IRelation, IRelationDescriptor
from ascetic.mappers import mapper_registry, Mapper
from ascetic.utils import to_tuple
from ascetic.exceptions import MapperNotRegistered
from ascetic.utils import cached_property, SpecialAttrAccessor, SpecialMap... | 0.401101 | 0.138724 |
# standard library
import datetime
import os
try:
from unittest.mock import Mock, patch
except ImportError:
from mock import Mock, patch
# third party
from django.conf import settings
from testfixtures import LogCapture
# local
from companies.models import Company
from sifter.mailsifter.accessors import get_f... | Incident-Response/Tools/cyphon/cyphon/sifter/mailsifter/tests/test_attachments.py | # standard library
import datetime
import os
try:
from unittest.mock import Mock, patch
except ImportError:
from mock import Mock, patch
# third party
from django.conf import settings
from testfixtures import LogCapture
# local
from companies.models import Company
from sifter.mailsifter.accessors import get_f... | 0.561455 | 0.399343 |
import unittest
from lunch.session import Session, SessionFinished, SessionEmpty, Config, User
class TestSession(unittest.TestCase):
def test_finished(self):
session = Session(Config())
self.assertEqual(session.finished, False)
session.join(User('test'))
session.finish()
... | tests/test_session.py | import unittest
from lunch.session import Session, SessionFinished, SessionEmpty, Config, User
class TestSession(unittest.TestCase):
def test_finished(self):
session = Session(Config())
self.assertEqual(session.finished, False)
session.join(User('test'))
session.finish()
... | 0.509032 | 0.544801 |
import torch
import torch.distributions as dist
import os
from im2mesh.encoder import encoder_temporal_dict
from im2mesh.onet4d import models, training, generation
from im2mesh import data
def get_decoder(cfg, device, c_dim=0, z_dim=0):
''' Returns a decoder instance.
Args:
cfg (yaml): yaml config
... | im2mesh/onet4d/config.py | import torch
import torch.distributions as dist
import os
from im2mesh.encoder import encoder_temporal_dict
from im2mesh.onet4d import models, training, generation
from im2mesh import data
def get_decoder(cfg, device, c_dim=0, z_dim=0):
''' Returns a decoder instance.
Args:
cfg (yaml): yaml config
... | 0.885854 | 0.446133 |
from asdf.extension import Converter
__all__ = ["WCSConverter", "CelestialFrameConverter", "CompositeFrameConverter",
"FrameConverter", "SpectralFrameConverter", "StepConverter",
"TemporalFrameConverter", "StokesFrameConverter"]
class WCSConverter(Converter):
tags = ["tag:stsci.edu:gwcs/w... | gwcs/converters/wcs.py |
from asdf.extension import Converter
__all__ = ["WCSConverter", "CelestialFrameConverter", "CompositeFrameConverter",
"FrameConverter", "SpectralFrameConverter", "StepConverter",
"TemporalFrameConverter", "StokesFrameConverter"]
class WCSConverter(Converter):
tags = ["tag:stsci.edu:gwcs/w... | 0.663669 | 0.393298 |
import json, argparse, os
from .db import Node, Edge, dbgraph
from .mx.utils import MxUtils
from .gherkin_stride import create_gherkins_from_threats, create_feature_file_for_gherkins
class ThreatMaterializer(object):
@classmethod
def get_flows_with_threats(cls):
SPOOFING = 'spoofing'
TAMPER... | materialize_threats/materialize.py | import json, argparse, os
from .db import Node, Edge, dbgraph
from .mx.utils import MxUtils
from .gherkin_stride import create_gherkins_from_threats, create_feature_file_for_gherkins
class ThreatMaterializer(object):
@classmethod
def get_flows_with_threats(cls):
SPOOFING = 'spoofing'
TAMPER... | 0.365796 | 0.147371 |
import optimizers.PSO as pso
import optimizers.MVO as mvo
import optimizers.GWO as gwo
import optimizers.MFO as mfo
import optimizers.CS as cs
import optimizers.BAT as bat
import optimizers.WOA as woa
import optimizers.FFA as ffa
import optimizers.SSA as ssa
import optimizers.GA as ga
import optimizers.HHO as hho
impor... | optimizer.py | import optimizers.PSO as pso
import optimizers.MVO as mvo
import optimizers.GWO as gwo
import optimizers.MFO as mfo
import optimizers.CS as cs
import optimizers.BAT as bat
import optimizers.WOA as woa
import optimizers.FFA as ffa
import optimizers.SSA as ssa
import optimizers.GA as ga
import optimizers.HHO as hho
impor... | 0.266739 | 0.382257 |
from __future__ import division, print_function, absolute_import
import argparse
import functools
import json
import logging
import math
import os
import random
import numpy as np
import pandas as pd
import sklearn.metrics as sm
import tensorflow as tf
import tqdm
try:
tf.compat.v1.logging.set_verbosity(tf.compa... | benchmarking/cnn3d/train_ppi.py | from __future__ import division, print_function, absolute_import
import argparse
import functools
import json
import logging
import math
import os
import random
import numpy as np
import pandas as pd
import sklearn.metrics as sm
import tensorflow as tf
import tqdm
try:
tf.compat.v1.logging.set_verbosity(tf.compa... | 0.759939 | 0.232267 |
import numpy as np
import torch
import torch.nn as nn
import torch.utils.data
import torch.nn.init as init
import util
import zern
import kl_modes
from complex import complex_multiply_astar_b, complex_division
def kaiming_init(m):
if isinstance(m, (nn.Linear, nn.Conv2d)):
init.kaiming_normal_(m.weight)
... | model.py | import numpy as np
import torch
import torch.nn as nn
import torch.utils.data
import torch.nn.init as init
import util
import zern
import kl_modes
from complex import complex_multiply_astar_b, complex_division
def kaiming_init(m):
if isinstance(m, (nn.Linear, nn.Conv2d)):
init.kaiming_normal_(m.weight)
... | 0.928733 | 0.535098 |
from flask import Flask, render_template, request, redirect
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///todo.db'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
db = SQLAlchemy(app)
# creating models for our app
... | app.py |
from flask import Flask, render_template, request, redirect
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///todo.db'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
db = SQLAlchemy(app)
# creating models for our app
... | 0.447943 | 0.057493 |
from . import time_slice_fixer
class PenaltyTrackerData(): # pylint: disable=too-few-public-methods
"""Mutable data for the :class:`PenaltyTracker`."""
def __init__(self):
"""Create a :class:`PenalizerData`."""
self.sat_out_threads = []
self.last_time_slice = None
self.nicene... | schedsi/schedulers/addons/penalty_tracker.py | from . import time_slice_fixer
class PenaltyTrackerData(): # pylint: disable=too-few-public-methods
"""Mutable data for the :class:`PenaltyTracker`."""
def __init__(self):
"""Create a :class:`PenalizerData`."""
self.sat_out_threads = []
self.last_time_slice = None
self.nicene... | 0.759538 | 0.514766 |
from decimal import Decimal
from colorsys import hls_to_rgb, rgb_to_hls
from . import bifunc
from ..ly_types import Color, Distance
@bifunc
def darken(env, color, amount):
if not isinstance(color, Color):
raise ValueError('Cannot darken non-color:', str(color))
if isinstance(amount, Decimal):
... | lightyear/functions/colors.py | from decimal import Decimal
from colorsys import hls_to_rgb, rgb_to_hls
from . import bifunc
from ..ly_types import Color, Distance
@bifunc
def darken(env, color, amount):
if not isinstance(color, Color):
raise ValueError('Cannot darken non-color:', str(color))
if isinstance(amount, Decimal):
... | 0.78469 | 0.245232 |
import logging
import functools
import werkzeug
from odoo import _
from odoo import http
from odoo.http import request
from odoo.tools import ustr
from odoo.osv import expression
from odoo.exceptions import UserError, AccessError, ValidationError
from odoo.addons.website.controllers.main import QueryURL
from .contro... | addons/crnd_wsd/controllers/main.py | import logging
import functools
import werkzeug
from odoo import _
from odoo import http
from odoo.http import request
from odoo.tools import ustr
from odoo.osv import expression
from odoo.exceptions import UserError, AccessError, ValidationError
from odoo.addons.website.controllers.main import QueryURL
from .contro... | 0.549641 | 0.089694 |
import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
class Stepper:
# adjust if different
def __init__(self, pin1=17, pin2=18, pin3=22, pin4=23):
self.StepState = 0; # 8 per full step
self.Position = 0; # 400 per revolution
sel... | Stepper.py | import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
class Stepper:
# adjust if different
def __init__(self, pin1=17, pin2=18, pin3=22, pin4=23):
self.StepState = 0; # 8 per full step
self.Position = 0; # 400 per revolution
sel... | 0.405684 | 0.309017 |
from rest_framework import serializers
from tdpservice.data_files.errors import ImmutabilityError
from tdpservice.data_files.models import DataFile
from tdpservice.data_files.validators import (
validate_file_extension,
validate_file_infection,
)
from tdpservice.security.models import ClamAVFileScan
from tdps... | tdrs-backend/tdpservice/data_files/serializers.py |
from rest_framework import serializers
from tdpservice.data_files.errors import ImmutabilityError
from tdpservice.data_files.models import DataFile
from tdpservice.data_files.validators import (
validate_file_extension,
validate_file_infection,
)
from tdpservice.security.models import ClamAVFileScan
from tdps... | 0.770896 | 0.275593 |
import json, os
import h5py, numpy
def read_config(fn):
from white_matter.utils.paths_in_config import path_local_to_cfg_root
with open(fn, 'r') as fid:
ret = json.load(fid)["ProjectionMapping"]
ret["cfg_root"] = os.path.split(fn)[0]
path_local_to_cfg_root(ret, ["cache_manifest", "h5_fn"])
... | white_matter/wm_recipe/projection_mapping/projection_mapper.py | import json, os
import h5py, numpy
def read_config(fn):
from white_matter.utils.paths_in_config import path_local_to_cfg_root
with open(fn, 'r') as fid:
ret = json.load(fid)["ProjectionMapping"]
ret["cfg_root"] = os.path.split(fn)[0]
path_local_to_cfg_root(ret, ["cache_manifest", "h5_fn"])
... | 0.22627 | 0.179908 |
import numpy as np
import cv2 as cv
import param
import panel as pn
import holoviews as hv
from holoviews import streams, opts
from scipy.ndimage.morphology import distance_transform_edt
from inter_view.utils import label_cmap
from inter_view.utils import HvDataset
from inter_view.color import glasbey_hv_16bit
opts.... | inter_view/edit_images.py | import numpy as np
import cv2 as cv
import param
import panel as pn
import holoviews as hv
from holoviews import streams, opts
from scipy.ndimage.morphology import distance_transform_edt
from inter_view.utils import label_cmap
from inter_view.utils import HvDataset
from inter_view.color import glasbey_hv_16bit
opts.... | 0.70253 | 0.272543 |
from enum import Enum
from typing import List, Literal, TypedDict, Union
# WARNING
# This data is accurate as of Thursday, 11 March 2021, 11:43 (CET)
class ThreadKind(Enum):
Issue = 0
PullRequest = 1
class Thread(TypedDict):
kind: ThreadKind
id: int
is_scheduled: bool
is_assigned: bool
class ActionKind(... | analysis/main.py | from enum import Enum
from typing import List, Literal, TypedDict, Union
# WARNING
# This data is accurate as of Thursday, 11 March 2021, 11:43 (CET)
class ThreadKind(Enum):
Issue = 0
PullRequest = 1
class Thread(TypedDict):
kind: ThreadKind
id: int
is_scheduled: bool
is_assigned: bool
class ActionKind(... | 0.603815 | 0.199542 |
import unittest
import torch
import torch.nn as nn
from hypothesis import given, settings
from hypothesis import strategies as st
from opacus import PrivacyEngine
from opacus.utils.batch_memory_manager import BatchMemoryManager
from torch.utils.data import DataLoader, TensorDataset
class Model(nn.Module):
def __... | opacus/tests/batch_memory_manager_test.py | import unittest
import torch
import torch.nn as nn
from hypothesis import given, settings
from hypothesis import strategies as st
from opacus import PrivacyEngine
from opacus.utils.batch_memory_manager import BatchMemoryManager
from torch.utils.data import DataLoader, TensorDataset
class Model(nn.Module):
def __... | 0.917875 | 0.562537 |
import utime
import math
from array import array
from machine import Pin, PWM, Timer
from sound import Sound
def read_words(filename):
buffer = bytearray(128)
with open(filename, 'rb', buffering=0) as file:
while True:
n = file.readinto(buffer)
if n == 0:
break
... | firmware/music_player.py | import utime
import math
from array import array
from machine import Pin, PWM, Timer
from sound import Sound
def read_words(filename):
buffer = bytearray(128)
with open(filename, 'rb', buffering=0) as file:
while True:
n = file.readinto(buffer)
if n == 0:
break
... | 0.270384 | 0.211845 |
import torch
from torch import nn
from hw_asr.base import BaseModel
class SeparableConv1d(nn.Module):
def __init__(self, in_channels, out_channels, kernel_size, stride=1,
padding="same", bias=False):
super(SeparableConv1d, self).__init__()
if stride > 1:
padding = 0
... | hw_asr/model/quartznet.py | import torch
from torch import nn
from hw_asr.base import BaseModel
class SeparableConv1d(nn.Module):
def __init__(self, in_channels, out_channels, kernel_size, stride=1,
padding="same", bias=False):
super(SeparableConv1d, self).__init__()
if stride > 1:
padding = 0
... | 0.941251 | 0.37419 |
class AvoidCollision:
takesBlock = False
@classmethod
def validate(self, tokens, verbaddress):
from fontFeatures.parserTools import ParseError
if tokens[-2].token != "kern" and tokens[-2].token != "raise":
raise ParseError(
"Mitigation strategy should be 'kern' ... | lib/fez/AvoidCollision.py | class AvoidCollision:
takesBlock = False
@classmethod
def validate(self, tokens, verbaddress):
from fontFeatures.parserTools import ParseError
if tokens[-2].token != "kern" and tokens[-2].token != "raise":
raise ParseError(
"Mitigation strategy should be 'kern' ... | 0.646683 | 0.340787 |
from opencv import highgui
import os
from threading import Thread, Lock, Event
class LoggedCamera(Thread):
'''
classdocs
'''
def __init__(self, logDirName):
'''
Constructor
'''
Thread.__init__(self)
self.lock = Lock()
self.shouldIRun = Event()
... | workspace-py/IrenaDrive/src/net/krezac/robot/irena/camera/LoggedCamera.py | from opencv import highgui
import os
from threading import Thread, Lock, Event
class LoggedCamera(Thread):
'''
classdocs
'''
def __init__(self, logDirName):
'''
Constructor
'''
Thread.__init__(self)
self.lock = Lock()
self.shouldIRun = Event()
... | 0.235284 | 0.058858 |
from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
import mock
import pytest
from swagger_spec_compatibility.rules.common import BaseRule
from swagger_spec_compatibility.rules.common import Level
from swagger_spec_compatibility.rules.common import Rule... | tests/conftest.py | from __future__ import absolute_import
from __future__ import print_function
from __future__ import unicode_literals
import mock
import pytest
from swagger_spec_compatibility.rules.common import BaseRule
from swagger_spec_compatibility.rules.common import Level
from swagger_spec_compatibility.rules.common import Rule... | 0.648132 | 0.197929 |
import numpy
import util
class PlainText:
__text = []
__groupLen = 0
def __init__(self, string, groupLen):
isinstance(string, str)
try:
if groupLen > 0:
self.__text = string
self.__groupLen = groupLen
else:
raise Type... | hill.py | import numpy
import util
class PlainText:
__text = []
__groupLen = 0
def __init__(self, string, groupLen):
isinstance(string, str)
try:
if groupLen > 0:
self.__text = string
self.__groupLen = groupLen
else:
raise Type... | 0.253214 | 0.120129 |
import pesummary
from pesummary.core.webpage import tables
from pesummary.core.webpage.base import Base
import sys
from pygments import highlight
from pygments.lexers import get_lexer_by_name
from pygments.formatters import HtmlFormatter
import time
__author__ = [
"<NAME> <<EMAIL>>",
"<NAME> <<EMAIL>>"
]
BO... | pesummary/core/webpage/webpage.py |
import pesummary
from pesummary.core.webpage import tables
from pesummary.core.webpage.base import Base
import sys
from pygments import highlight
from pygments.lexers import get_lexer_by_name
from pygments.formatters import HtmlFormatter
import time
__author__ = [
"<NAME> <<EMAIL>>",
"<NAME> <<EMAIL>>"
]
BO... | 0.408395 | 0.042882 |
import argparse
import configparser
import glob
import os
import pprint
import sys
import jinja2
import pydevicetree
DEFAULT_SOURCE_PATHS = [
".",
"sifive-blocks",
]
def parse_arguments(argv):
arg_parser = argparse.ArgumentParser(
description="Generate Freedom Metal code from the target Dev... | scripts/codegen.py |
import argparse
import configparser
import glob
import os
import pprint
import sys
import jinja2
import pydevicetree
DEFAULT_SOURCE_PATHS = [
".",
"sifive-blocks",
]
def parse_arguments(argv):
arg_parser = argparse.ArgumentParser(
description="Generate Freedom Metal code from the target Dev... | 0.334372 | 0.239772 |
import pprint
import re # noqa: F401
import six
class FaceFeatureResponseCommand(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict): The key is attribute nam... | vtpl_api/models/face_feature_response_command.py | import pprint
import re # noqa: F401
import six
class FaceFeatureResponseCommand(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict): The key is attribute nam... | 0.723602 | 0.133981 |
from telethon import events
import asyncio
import os
import sys
import random
from userbot.utils import admin_cmd
@borg.on(admin_cmd(pattern="byeq ?(.*)"))
async def _(event):
if event.fwd_from:
return
await event.edit("@veryhelpful making goodbye quote")
await asyncio.sleep(1)
g=(... | userbot/plugins/goodbyesahyri2.py | from telethon import events
import asyncio
import os
import sys
import random
from userbot.utils import admin_cmd
@borg.on(admin_cmd(pattern="byeq ?(.*)"))
async def _(event):
if event.fwd_from:
return
await event.edit("@veryhelpful making goodbye quote")
await asyncio.sleep(1)
g=(... | 0.100216 | 0.044723 |
import hashlib
import pytest
from app.shared.validation import validate_base64, validate_hash, validate_timestamp, validate_url, validate_uuid
@pytest.mark.asyncio
async def test_timestamp_validation(loop):
assert validate_timestamp('1984-08-01T22:30:20.004711Z')
assert not validate_timestamp('1984-08-01')
... | app/tests/test_validation.py | import hashlib
import pytest
from app.shared.validation import validate_base64, validate_hash, validate_timestamp, validate_url, validate_uuid
@pytest.mark.asyncio
async def test_timestamp_validation(loop):
assert validate_timestamp('1984-08-01T22:30:20.004711Z')
assert not validate_timestamp('1984-08-01')
... | 0.483161 | 0.563258 |
#Gaussian File Reader and Structural Descriptor Anaylsis
#Updated on 11.2.2020
#<NAME> and <NAME>
#****************************************************
#Clear the workspace
get_ipython().magic('reset -sf')
import os
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import time
from sklearn.linea... | log_regression.py | #Gaussian File Reader and Structural Descriptor Anaylsis
#Updated on 11.2.2020
#<NAME> and <NAME>
#****************************************************
#Clear the workspace
get_ipython().magic('reset -sf')
import os
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import time
from sklearn.linea... | 0.705075 | 0.512571 |
import re
import numpy as np
from nltk.corpus import swadesh
__author__ = "besnier"
germanic_languages = ["en", "de", "nl"]
roman_languages = ["fr", "es", "it"]
alphabet = list('azertyuiopqsdfghjklmwxcvbn')
to_aligner_ger = swadesh.entries(germanic_languages)
to_aligner_rom = swadesh.entries(roman_languages)
def ... | data_retrieval.py | import re
import numpy as np
from nltk.corpus import swadesh
__author__ = "besnier"
germanic_languages = ["en", "de", "nl"]
roman_languages = ["fr", "es", "it"]
alphabet = list('azertyuiopqsdfghjklmwxcvbn')
to_aligner_ger = swadesh.entries(germanic_languages)
to_aligner_rom = swadesh.entries(roman_languages)
def ... | 0.26569 | 0.227405 |
import sys
from PySide.QtCore import *
from PySide.QtGui import *
from image import SegmentedImage
class Main(QWidget):
def __init__(self, image_path, parent=None):
super(Main, self).__init__(parent)
layout = QVBoxLayout(self)
picture = PictureLabel(image_path, self)
picture.s... | gui.py | import sys
from PySide.QtCore import *
from PySide.QtGui import *
from image import SegmentedImage
class Main(QWidget):
def __init__(self, image_path, parent=None):
super(Main, self).__init__(parent)
layout = QVBoxLayout(self)
picture = PictureLabel(image_path, self)
picture.s... | 0.391988 | 0.192463 |
import logging
from itertools import product
import pandas as pd
from sklearn.model_selection import train_test_split
from greenguard.demo import load_demo
from greenguard.metrics import METRICS
from greenguard.pipeline import GreenGuardPipeline, generate_init_params, generate_preprocessing
LOGGER = logging.getLogge... | greenguard/benchmark.py | import logging
from itertools import product
import pandas as pd
from sklearn.model_selection import train_test_split
from greenguard.demo import load_demo
from greenguard.metrics import METRICS
from greenguard.pipeline import GreenGuardPipeline, generate_init_params, generate_preprocessing
LOGGER = logging.getLogge... | 0.861349 | 0.404772 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._inputs import *
__all__ = [
'GetOnPremConnectorsResult',
'AwaitableGetOnPremConnectorsResult',
'get_on_prem_connectors',
]
@pulum... | sdk/python/pulumi_oci/datasafe/get_on_prem_connectors.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._inputs import *
__all__ = [
'GetOnPremConnectorsResult',
'AwaitableGetOnPremConnectorsResult',
'get_on_prem_connectors',
]
@pulum... | 0.761006 | 0.110184 |
import os
import json
from PIL import Image
__location__ = os.path.realpath(
os.path.join(os.getcwd(), os.path.dirname(__file__)))
accepted_img_types = ["jpeg", "jpg"]
class Thumbnails:
def __init__(self, rules_path):
self.rules = {}
try:
f = open(os.path.join(__location__, rules... | src/storage/thumbnails.py | import os
import json
from PIL import Image
__location__ = os.path.realpath(
os.path.join(os.getcwd(), os.path.dirname(__file__)))
accepted_img_types = ["jpeg", "jpg"]
class Thumbnails:
def __init__(self, rules_path):
self.rules = {}
try:
f = open(os.path.join(__location__, rules... | 0.190347 | 0.060446 |
from ProsNet.model.model import Model
import tensorflow as tf
import matplotlib.pyplot as plt
class DeepModel(Model):
def __init__(self):
super().__init__()
def norm_accel_data(self):
x_minimum = 0
x_maximum = 255
self.dataset = ((self.dataset - x_minimum) / (x_maximum - x_min... | src/ProsNet/model/deep_model.py | from ProsNet.model.model import Model
import tensorflow as tf
import matplotlib.pyplot as plt
class DeepModel(Model):
def __init__(self):
super().__init__()
def norm_accel_data(self):
x_minimum = 0
x_maximum = 255
self.dataset = ((self.dataset - x_minimum) / (x_maximum - x_min... | 0.875906 | 0.353568 |
# 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 un... | axol_common/classes/common_math.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 un... | 0.846736 | 0.242968 |
import sys
import platform
import MOPS_Misc
def help():
"""Provides basic help facilities online - get more help using different commands
"""
print(' ')
print('To logoff and exit MOPS, type QUIT or EXIT')
print(' ')
print('There are a large number of commands in MOPS. See the User Gu... | trunk/MOPS_Help.py | import sys
import platform
import MOPS_Misc
def help():
"""Provides basic help facilities online - get more help using different commands
"""
print(' ')
print('To logoff and exit MOPS, type QUIT or EXIT')
print(' ')
print('There are a large number of commands in MOPS. See the User Gu... | 0.255808 | 0.157234 |
from django.core.exceptions import \
ImproperlyConfigured
from django.urls import reverse
from django.template import (
Library, TemplateSyntaxError
)
from django.utils.safestring import mark_safe
register = Library()
@register.inclusion_tag('core/includes/form.html',
takes_context=Tr... | suorganizer/core/templatetags/display_form.py | from django.core.exceptions import \
ImproperlyConfigured
from django.urls import reverse
from django.template import (
Library, TemplateSyntaxError
)
from django.utils.safestring import mark_safe
register = Library()
@register.inclusion_tag('core/includes/form.html',
takes_context=Tr... | 0.47171 | 0.187653 |
import json
import requests as req
from barsxml.sql.sqlbase import SqlBase
import barsxml.config.pgrestxml as pg
# PostgresT Sql server PROVIDER
class SqlProvider(SqlBase):
def __init__(self, config, mo_code, year, month):
super().__init__(config, mo_code, year, month)
self.db = getattr(confi... | src/barsxml/sql/sqlpgrest.py | import json
import requests as req
from barsxml.sql.sqlbase import SqlBase
import barsxml.config.pgrestxml as pg
# PostgresT Sql server PROVIDER
class SqlProvider(SqlBase):
def __init__(self, config, mo_code, year, month):
super().__init__(config, mo_code, year, month)
self.db = getattr(confi... | 0.276984 | 0.066116 |
import typing
from .. import db
from . import errors
from . import actions
from . import groups
from . import users
from . import projects
from . import instruments
from ..models import Permissions, UserActionPermissions, GroupActionPermissions, ProjectActionPermissions, PublicActions, Action, ActionType
__author__ = ... | sampledb/logic/action_permissions.py | import typing
from .. import db
from . import errors
from . import actions
from . import groups
from . import users
from . import projects
from . import instruments
from ..models import Permissions, UserActionPermissions, GroupActionPermissions, ProjectActionPermissions, PublicActions, Action, ActionType
__author__ = ... | 0.62498 | 0.248563 |
from __future__ import print_function, division, unicode_literals
import argparse
import gettext
import locale
import platform
import shutil
import tarfile
import tempfile
from zipfile import ZipFile, ZIP_DEFLATED, is_zipfile
import logging
from logging.handlers import *
import appdirs
from datetime import datetime
imp... | Application/__init__.py | from __future__ import print_function, division, unicode_literals
import argparse
import gettext
import locale
import platform
import shutil
import tarfile
import tempfile
from zipfile import ZipFile, ZIP_DEFLATED, is_zipfile
import logging
from logging.handlers import *
import appdirs
from datetime import datetime
imp... | 0.588061 | 0.100923 |
import subprocess
import shlex
import time
import requests
import json
import Data
import os.path
class Commiter:
def __init__(self, data):
self.data = data
def ShowCommitFiles(self):
# subprocess.call(shlex.split("git add -n ."))
self.files = self.__GetCommitFiles(is_show=True, is_debu... | command/repository/Commiter.py | import subprocess
import shlex
import time
import requests
import json
import Data
import os.path
class Commiter:
def __init__(self, data):
self.data = data
def ShowCommitFiles(self):
# subprocess.call(shlex.split("git add -n ."))
self.files = self.__GetCommitFiles(is_show=True, is_debu... | 0.277767 | 0.084833 |
import libtools, os, sys
from importlib import import_module
class Addon():
def __init__(self, logger, appinfo):
self.loaded_addon={}
self.loaded_addon_info={}
self.extdict={}
self.logger=logger
self.appinfo=appinfo
def install(self):
pass
def uninstall(self)... | libtools/addon.py | import libtools, os, sys
from importlib import import_module
class Addon():
def __init__(self, logger, appinfo):
self.loaded_addon={}
self.loaded_addon_info={}
self.extdict={}
self.logger=logger
self.appinfo=appinfo
def install(self):
pass
def uninstall(self)... | 0.111955 | 0.0464 |
import datetime
import json
import logging
import os
import tempfile
# Third-Party Libraries
from boto3 import client as boto3_client
import docopt
from pymongo import MongoClient
from pytz import utc
# Local library
from ._version import __version__
def import_data(
s3_bucket=None,
data_filename=None,
... | adi/assessment_data_import.py | import datetime
import json
import logging
import os
import tempfile
# Third-Party Libraries
from boto3 import client as boto3_client
import docopt
from pymongo import MongoClient
from pytz import utc
# Local library
from ._version import __version__
def import_data(
s3_bucket=None,
data_filename=None,
... | 0.639511 | 0.288796 |
from src.scenario.scenario_generator import ScenarioGenerator
from src.executors.exact.solve_opf import solve
from src.scenario.scenario import Scenario
from src.grid.grid import Grid
import numpy as np
class GridEnv:
def __init__(self,
grid: Grid,
scenario: Scenario,
... | src/grid/grid_env.py | from src.scenario.scenario_generator import ScenarioGenerator
from src.executors.exact.solve_opf import solve
from src.scenario.scenario import Scenario
from src.grid.grid import Grid
import numpy as np
class GridEnv:
def __init__(self,
grid: Grid,
scenario: Scenario,
... | 0.725357 | 0.44897 |
from copy import deepcopy
from typing import Any, Dict, Optional, Tuple, Union
import gym
import numpy as np
import torch
import torch.nn as nn
from ....environments import VecEnv
from ...common import (
ReplayBuffer,
get_env_properties,
get_model,
load_params,
safe_mean,
save_params,
set_... | genrl/deep/agents/td3/td3.py | from copy import deepcopy
from typing import Any, Dict, Optional, Tuple, Union
import gym
import numpy as np
import torch
import torch.nn as nn
from ....environments import VecEnv
from ...common import (
ReplayBuffer,
get_env_properties,
get_model,
load_params,
safe_mean,
save_params,
set_... | 0.92976 | 0.600159 |
def selectMLmodel(X_training, y_training):
"""
Selects best performing classification machine learning algorithm for given data.
Parameters:
------------
X_training : {array_like, sparse matrix},
shape = [n_samples, n_features]
Matrix of training samples.
... | SelectingMLModel.py | def selectMLmodel(X_training, y_training):
"""
Selects best performing classification machine learning algorithm for given data.
Parameters:
------------
X_training : {array_like, sparse matrix},
shape = [n_samples, n_features]
Matrix of training samples.
... | 0.903725 | 0.7586 |
__author__ = 'ad'
from .model import Model
from .fields import (
String, Reference, Map, List, Bool, Int, Float, Or, Null,
Choice, RamlNamedParametersMap, JSONData, XMLData)
from .constants import NAMED_PARAMETER_TYPES, RAML_VALID_PROTOCOLS
class SecuredEntity(object):
# [foo, {bar: {baz: [buz]}}, null]
... | pyraml/entities.py | __author__ = 'ad'
from .model import Model
from .fields import (
String, Reference, Map, List, Bool, Int, Float, Or, Null,
Choice, RamlNamedParametersMap, JSONData, XMLData)
from .constants import NAMED_PARAMETER_TYPES, RAML_VALID_PROTOCOLS
class SecuredEntity(object):
# [foo, {bar: {baz: [buz]}}, null]
... | 0.841761 | 0.319161 |
import tensorflow as tf
from google.protobuf import text_format
from object_detection import export_tflite_graph_lib_tf2
from object_detection.protos import pipeline_pb2
class GradientAccumulatorModel(tf.keras.Model):
def __init__(self, num_accum, **kargs):
super(GradientAccumulatorModel, self).__init__(*... | train/utils.py | import tensorflow as tf
from google.protobuf import text_format
from object_detection import export_tflite_graph_lib_tf2
from object_detection.protos import pipeline_pb2
class GradientAccumulatorModel(tf.keras.Model):
def __init__(self, num_accum, **kargs):
super(GradientAccumulatorModel, self).__init__(*... | 0.496094 | 0.263508 |
import threading
import time
import httpx
import jwt
from mergify_engine import config
from mergify_engine.clients import common
class GithubBearerAuth(httpx.Auth):
JWT_EXPIRATION = 60
def __init__(self):
self.jwt = None
self.jwt_expiration = None
def get_or_create_jwt(self):
... | mergify_engine/clients/github_app.py |
import threading
import time
import httpx
import jwt
from mergify_engine import config
from mergify_engine.clients import common
class GithubBearerAuth(httpx.Auth):
JWT_EXPIRATION = 60
def __init__(self):
self.jwt = None
self.jwt_expiration = None
def get_or_create_jwt(self):
... | 0.274935 | 0.071332 |
import numpy as np
import pandas as pd
from scipy import sparse
from scipy.linalg import eigh
from ec_feature_selection.utils import check_array
from ec_feature_selection._ecfs_functions import get_fisher_score, get_mutual_information, build_kernel, build_sigma
from typing import Optional, Union
Data = Union[np.array,... | ec_feature_selection/__init__.py | import numpy as np
import pandas as pd
from scipy import sparse
from scipy.linalg import eigh
from ec_feature_selection.utils import check_array
from ec_feature_selection._ecfs_functions import get_fisher_score, get_mutual_information, build_kernel, build_sigma
from typing import Optional, Union
Data = Union[np.array,... | 0.927667 | 0.619414 |
import inspect
from argparse import (
Action,
_StoreAction,
_StoreConstAction,
_StoreTrueAction,
_StoreFalseAction,
_AppendAction,
_AppendConstAction,
_CountAction,
_HelpAction,
_VersionAction,
)
from typing import Dict, List, Union, Type
from more_itertools import first_true
... | flexparse/actions.py | import inspect
from argparse import (
Action,
_StoreAction,
_StoreConstAction,
_StoreTrueAction,
_StoreFalseAction,
_AppendAction,
_AppendConstAction,
_CountAction,
_HelpAction,
_VersionAction,
)
from typing import Dict, List, Union, Type
from more_itertools import first_true
... | 0.71103 | 0.132992 |
import tkinter as tk
root = tk.Tk()
root.title("Python Quiz By <NAME>")
root.geometry("1000x500")
root.configure(background='gray', borderwidth=2, relief="solid")
score = 0
photoplay = tk.PhotoImage(file = r"C:\QuizTime\Play.png")
photoimage1 = photoplay.subsample(5, 5)
photocredits = tk.PhotoImage(file = r"C:\QuizTi... | QuizTime.py | import tkinter as tk
root = tk.Tk()
root.title("Python Quiz By <NAME>")
root.geometry("1000x500")
root.configure(background='gray', borderwidth=2, relief="solid")
score = 0
photoplay = tk.PhotoImage(file = r"C:\QuizTime\Play.png")
photoimage1 = photoplay.subsample(5, 5)
photocredits = tk.PhotoImage(file = r"C:\QuizTi... | 0.201342 | 0.233575 |
import numpy as np
import pytest
from bingo.symbolic_regression.agraph.operator_definitions import *
from bingo.symbolic_regression.agraph.evaluation_backend \
import evaluation_backend as py_eval_backend
try:
from bingocpp import evaluation_backend as cpp_eval_backend
except ImportError:
cpp_eval_backend... | tests/unit/symbolic_regression/agraph/evaluation_backend/test_evaluation_backend.py | import numpy as np
import pytest
from bingo.symbolic_regression.agraph.operator_definitions import *
from bingo.symbolic_regression.agraph.evaluation_backend \
import evaluation_backend as py_eval_backend
try:
from bingocpp import evaluation_backend as cpp_eval_backend
except ImportError:
cpp_eval_backend... | 0.493897 | 0.477859 |
from __future__ import generators
import sys
import lib_util
import lib_common
from lib_properties import pc
import win32net
import win32security
from sources_types import Win32_Group as survol_Win32_Group
from sources_types import Win32_UserAccount as survol_Win32_UserAccount
import lib_win32
def Main():
cgiEnv = ... | survol/sources_types/CIM_ComputerSystem/Win32/win32_host_local_groups.py | from __future__ import generators
import sys
import lib_util
import lib_common
from lib_properties import pc
import win32net
import win32security
from sources_types import Win32_Group as survol_Win32_Group
from sources_types import Win32_UserAccount as survol_Win32_UserAccount
import lib_win32
def Main():
cgiEnv = ... | 0.182389 | 0.076236 |
import asyncio
import logging
from contextlib import suppress
from functools import partial
from typing import Callable, Type
import aiomisc
import aiormq.exceptions
import pytest
import shortuuid
from aiomisc_pytest.pytest_plugin import TCPProxy
from pamqp.exceptions import AMQPFrameError
from yarl import URL
import... | tests/test_amqp_robust_proxy.py | import asyncio
import logging
from contextlib import suppress
from functools import partial
from typing import Callable, Type
import aiomisc
import aiormq.exceptions
import pytest
import shortuuid
from aiomisc_pytest.pytest_plugin import TCPProxy
from pamqp.exceptions import AMQPFrameError
from yarl import URL
import... | 0.602529 | 0.266656 |
import os
from pymongo import MongoClient
from bson.son import SON
import pandas as pd
import numpy as np
import xlsxwriter
import smtplib
import traceback
from email.header import Header
from email.mime.text import MIMEText
from email.utils import parseaddr, formataddr
from email.mime.multipart import MIMEMultipa... | src/gen_report.py |
import os
from pymongo import MongoClient
from bson.son import SON
import pandas as pd
import numpy as np
import xlsxwriter
import smtplib
import traceback
from email.header import Header
from email.mime.text import MIMEText
from email.utils import parseaddr, formataddr
from email.mime.multipart import MIMEMultipa... | 0.10585 | 0.0809 |
import email
import imaplib
from email.header import decode_header
from apiclient import discovery
from google.protobuf import service
from httplib2 import Http
from oauth2client import file, client, tools
import base64
from bs4 import BeautifulSoup
import dateutil.parser as parser
import csv
SCOPES = 'https://www.goo... | Gmail.py | import email
import imaplib
from email.header import decode_header
from apiclient import discovery
from google.protobuf import service
from httplib2 import Http
from oauth2client import file, client, tools
import base64
from bs4 import BeautifulSoup
import dateutil.parser as parser
import csv
SCOPES = 'https://www.goo... | 0.126529 | 0.085213 |
from model.deeplab import Deeplab
from model.fcn8s import VGG16_FCN8s
from model.discriminator import FCDiscriminator
import torch.optim as optim
import torch
def CreateModel(args):
if args.model == 'DeepLab':
model = Deeplab(num_classes=args.num_classes, init_weights=args.init_weights, restore_from=args.... | model/__init__.py | from model.deeplab import Deeplab
from model.fcn8s import VGG16_FCN8s
from model.discriminator import FCDiscriminator
import torch.optim as optim
import torch
def CreateModel(args):
if args.model == 'DeepLab':
model = Deeplab(num_classes=args.num_classes, init_weights=args.init_weights, restore_from=args.... | 0.560974 | 0.235702 |
from collections import Counter
import math
from sympy import Symbol, factor, expand, Rational
import numpy as np
# Generating All Partitions: A Comparison Of Two Encodings
# https://arxiv.org/abs/0909.2331
def accel_asc(n):
a = [0 for unused_variable in range(n + 1)]
k = 1
y = n - 1
while k != 0:
... | partitions.py | from collections import Counter
import math
from sympy import Symbol, factor, expand, Rational
import numpy as np
# Generating All Partitions: A Comparison Of Two Encodings
# https://arxiv.org/abs/0909.2331
def accel_asc(n):
a = [0 for unused_variable in range(n + 1)]
k = 1
y = n - 1
while k != 0:
... | 0.473901 | 0.439868 |
import peewee
import datetime
database = peewee.MySQLDatabase('test', host='localhost', port=3306, user='root', passwd='')
class User(peewee.Model):
username = peewee.CharField(unique=True, max_length=50, index=True)
password = peewee.CharField(max_length=50, null=True)
email = peewee.CharField(max_length=50)
... | database_python/orm/models.py | import peewee
import datetime
database = peewee.MySQLDatabase('test', host='localhost', port=3306, user='root', passwd='')
class User(peewee.Model):
username = peewee.CharField(unique=True, max_length=50, index=True)
password = peewee.CharField(max_length=50, null=True)
email = peewee.CharField(max_length=50)
... | 0.484624 | 0.111459 |
from autodiff.ad import AutoDiff
import numpy as np
class Vector_Forward():
"""
Implementation of evaluating multiple functions for Forward Mode
"""
def __init__(self, func_vec):
"""
constructor for Vector_Forward class
Initializes AutoDiff object with a list of function
... | autodiff/vector_forward.py | from autodiff.ad import AutoDiff
import numpy as np
class Vector_Forward():
"""
Implementation of evaluating multiple functions for Forward Mode
"""
def __init__(self, func_vec):
"""
constructor for Vector_Forward class
Initializes AutoDiff object with a list of function
... | 0.816736 | 0.678813 |
import local
from os import fstat
from sys import exit, modules, stderr, stdin, stdout
from argparse import ArgumentParser, FileType
from traceback import format_exc
from tde.term import is_colorterm
import tde.filterlog
# pylint: disable-msg=broad-except
def enumerate_formatters():
"""Discover the available fil... | host/bin/dumplog.py | import local
from os import fstat
from sys import exit, modules, stderr, stdin, stdout
from argparse import ArgumentParser, FileType
from traceback import format_exc
from tde.term import is_colorterm
import tde.filterlog
# pylint: disable-msg=broad-except
def enumerate_formatters():
"""Discover the available fil... | 0.276397 | 0.055849 |
import sys
import argparse
from .macho_rewriter import rewriter_factory
def list_rpaths_command(namespace):
rewriter = rewriter_factory(namespace.macho)
for rpath in rewriter.rpaths:
print(rpath)
def list_install_names(namespace):
rewriter = rewriter_factory(namespace.macho)
print(rewriter.i... | testbed/x/plugins/com.appcelerator.test/versions/8244.293/MakeAppTouchTestable/ios/macho_processor/machotools/__main__.py | import sys
import argparse
from .macho_rewriter import rewriter_factory
def list_rpaths_command(namespace):
rewriter = rewriter_factory(namespace.macho)
for rpath in rewriter.rpaths:
print(rpath)
def list_install_names(namespace):
rewriter = rewriter_factory(namespace.macho)
print(rewriter.i... | 0.207616 | 0.123709 |
import torch
import inspect
# Define several data types
data_types = ['point', 'interval', 'particle', 'distribution', 'quantile']
# Some utility functions shared across the entire library
def _implicit_quantiles(n_quantiles):
""" Get the implicit quantiles (when it is not explicitly specified)
Arg... | torchuq/__init__.py | import torch
import inspect
# Define several data types
data_types = ['point', 'interval', 'particle', 'distribution', 'quantile']
# Some utility functions shared across the entire library
def _implicit_quantiles(n_quantiles):
""" Get the implicit quantiles (when it is not explicitly specified)
Arg... | 0.853852 | 0.788583 |
import requests
import os
import json
# This is a modified code from twitter API v2 sample.
# header maker
def create_headers(bearer_token):
headers = {"Authorization": "Bearer {}".format(bearer_token)}
return headers
# Get all rules from one developer's account
def get_rules(headers):
response = reque... | request_filtered_stream.py | import requests
import os
import json
# This is a modified code from twitter API v2 sample.
# header maker
def create_headers(bearer_token):
headers = {"Authorization": "Bearer {}".format(bearer_token)}
return headers
# Get all rules from one developer's account
def get_rules(headers):
response = reque... | 0.283881 | 0.157687 |
from numba import types, cgutils
from numba.targets.imputils import (
builtin, implement, iternext_impl, call_iternext, call_getiter,
struct_factory)
@builtin
@implement('getiter', types.Kind(types.IteratorType))
def iterator_getiter(context, builder, sig, args):
[it] = args
return it
#-------------... | numba/targets/iterators.py | from numba import types, cgutils
from numba.targets.imputils import (
builtin, implement, iternext_impl, call_iternext, call_getiter,
struct_factory)
@builtin
@implement('getiter', types.Kind(types.IteratorType))
def iterator_getiter(context, builder, sig, args):
[it] = args
return it
#-------------... | 0.777596 | 0.450903 |
import os
import cv2
import time
import shutil
import numpy as np
import matplotlib.pyplot as plt
from open3d import *
# Display utilities
def visualize_joints_2d(ax, joints, joint_idxs=True, links=None, alpha=1):
"""Draw 2d skeleton on matplotlib axis"""
if links is None:
links = [(0, 1, 2, 3, 4), (... | data/hand_tracking/preprocess_rgb_crops.py | import os
import cv2
import time
import shutil
import numpy as np
import matplotlib.pyplot as plt
from open3d import *
# Display utilities
def visualize_joints_2d(ax, joints, joint_idxs=True, links=None, alpha=1):
"""Draw 2d skeleton on matplotlib axis"""
if links is None:
links = [(0, 1, 2, 3, 4), (... | 0.433502 | 0.31089 |
import os
from aws_cdk import (
core,
aws_iam as iam,
aws_sagemaker as sagemaker,
)
from multacdkrecipies.recipies.settings import SAGEMAKER_POLICY
from multacdkrecipies.recipies.utils import SAGEMAKER_NOTEBOOK_SCHEMA, validate_configuration, validate_file
file_path = os.path.dirname(os.path.abspath(__fi... | multacdkrecipies/recipies/constructs/iot_analytics_sagemaker_notebook.py | import os
from aws_cdk import (
core,
aws_iam as iam,
aws_sagemaker as sagemaker,
)
from multacdkrecipies.recipies.settings import SAGEMAKER_POLICY
from multacdkrecipies.recipies.utils import SAGEMAKER_NOTEBOOK_SCHEMA, validate_configuration, validate_file
file_path = os.path.dirname(os.path.abspath(__fi... | 0.510985 | 0.166913 |
# Import libraries for managing random indices, random list elements, and regular expressions
from random import choice, randint
import re
# A list of possible nucleotides from which random selections will be taken
nucleotides = list("ATCG")
# Dictionary taken from Moodle 2
standard_genetic_code = {'UUU':'Phe', 'UUC... | Mutation Exercise/Segal-Gould_Noah_Mutation_Exercise_Code.py |
# Import libraries for managing random indices, random list elements, and regular expressions
from random import choice, randint
import re
# A list of possible nucleotides from which random selections will be taken
nucleotides = list("ATCG")
# Dictionary taken from Moodle 2
standard_genetic_code = {'UUU':'Phe', 'UUC... | 0.490724 | 0.347703 |
"""Formatter used to display a data table conversion button next to dataframes."""
import uuid as _uuid
import weakref as _weakref
from google.colab import data_table as _data_table
from google.colab import output as _output
import IPython as _IPython
_ICON_SVG = """
<svg xmlns="http://www.w3.org/2000/svg" height="... | google/colab/_interactive_table_hint_button.py | """Formatter used to display a data table conversion button next to dataframes."""
import uuid as _uuid
import weakref as _weakref
from google.colab import data_table as _data_table
from google.colab import output as _output
import IPython as _IPython
_ICON_SVG = """
<svg xmlns="http://www.w3.org/2000/svg" height="... | 0.576065 | 0.336031 |
import os
import sys
from setuptools import setup
with open("pennylane_pyquest/_version.py") as f:
version = f.readlines()[-1].split()[-1].strip("\"'")
# Put pip installation requirements here.
# Requirements should be as minimal as possible.
# Avoid pinning, and use minimum version numbers
# only w... | setup.py |
import os
import sys
from setuptools import setup
with open("pennylane_pyquest/_version.py") as f:
version = f.readlines()[-1].split()[-1].strip("\"'")
# Put pip installation requirements here.
# Requirements should be as minimal as possible.
# Avoid pinning, and use minimum version numbers
# only w... | 0.262086 | 0.188828 |
class Node:
def __init__(self, fw_id, level, fw_info, assigned=False, parents=None, children=None):
"""
Args:
fw_id (int): an identification number for this Firework.
level (int): depth of the node from the entry node.
fw_info (dict): contains info like executio... | swarmform/core/swarm_dag.py | class Node:
def __init__(self, fw_id, level, fw_info, assigned=False, parents=None, children=None):
"""
Args:
fw_id (int): an identification number for this Firework.
level (int): depth of the node from the entry node.
fw_info (dict): contains info like executio... | 0.800302 | 0.297955 |
import cmd
import os
from typing import List, Sequence, Optional
import re
# Local modules
from .common import *
from .executor import Executor
from .ssh_utils import SshSettings
# External libraries. Might need no be installed via pip
import termcolor
from tabulate import tabulate
NAME = 'Dummie{}ell'.format(termcol... | src/my_shell.py | import cmd
import os
from typing import List, Sequence, Optional
import re
# Local modules
from .common import *
from .executor import Executor
from .ssh_utils import SshSettings
# External libraries. Might need no be installed via pip
import termcolor
from tabulate import tabulate
NAME = 'Dummie{}ell'.format(termcol... | 0.633524 | 0.146301 |
import argparse
import os
from tqdm.auto import tqdm
import torch
from metrics.load_seg import load_seg_info_from_exp_name
from metrics.load_mask import load_mask_info
class Dataset():
def __init__(self, before, after, tgtc=0, srcc=2):
self.before = before
self.after = after
self.tgtc = ... | metrics/seg_correct_mod.py | import argparse
import os
from tqdm.auto import tqdm
import torch
from metrics.load_seg import load_seg_info_from_exp_name
from metrics.load_mask import load_mask_info
class Dataset():
def __init__(self, before, after, tgtc=0, srcc=2):
self.before = before
self.after = after
self.tgtc = ... | 0.701509 | 0.139191 |
from zope.interface import Interface
from zope import schema
from medialog.googlefonts import messageFactory as _
from z3c.form import interfaces
from zope.interface import alsoProvides
from plone.directives import form
from medialog.controlpanel.interfaces import IMedialogControlpanelSettingsProvider
class IGoogle... | medialog/googlefonts/interfaces.py | from zope.interface import Interface
from zope import schema
from medialog.googlefonts import messageFactory as _
from z3c.form import interfaces
from zope.interface import alsoProvides
from plone.directives import form
from medialog.controlpanel.interfaces import IMedialogControlpanelSettingsProvider
class IGoogle... | 0.379148 | 0.133783 |
import codecs
from pathlib import Path
import sys
from setuptools import setup, convert_path
if sys.version_info < (3, 5):
raise RuntimeError('SirBot requires Python 3.5+')
def load_package_meta():
meta_path = convert_path('./sirbot/core/__meta__.py')
meta_ns = {}
with open(meta_path) as f:
... | setup.py | import codecs
from pathlib import Path
import sys
from setuptools import setup, convert_path
if sys.version_info < (3, 5):
raise RuntimeError('SirBot requires Python 3.5+')
def load_package_meta():
meta_path = convert_path('./sirbot/core/__meta__.py')
meta_ns = {}
with open(meta_path) as f:
... | 0.347316 | 0.156749 |
import collections
import unittest
import yaml
from cros.factory.utils import yaml_utils
class BaseYAMLTagHandlerUnittest(unittest.TestCase):
def runTest(self):
class FooTag:
def __init__(self, content):
self.content = content
# pylint: disable=unused-variable
class FooYAMLTagHandler(... | py/utils/yaml_utils_unittest.py |
import collections
import unittest
import yaml
from cros.factory.utils import yaml_utils
class BaseYAMLTagHandlerUnittest(unittest.TestCase):
def runTest(self):
class FooTag:
def __init__(self, content):
self.content = content
# pylint: disable=unused-variable
class FooYAMLTagHandler(... | 0.634317 | 0.345105 |