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 |
|---|---|---|---|---|
__author__ = "<NAME>, <NAME>"
__version__ = '$Id$'
from pybrain.tools.example_tools import ExTools
from pybrain.structure.modules.tanhlayer import TanhLayer
from pybrain.tools.shortcuts import buildNetwork
from pybrain.rl.environments.shipsteer import ShipSteeringEnvironment
from pybrain.rl.environments.shipsteer imp... | examples/rl/environments/shipsteer/shipbench_pgpe.py | __author__ = "<NAME>, <NAME>"
__version__ = '$Id$'
from pybrain.tools.example_tools import ExTools
from pybrain.structure.modules.tanhlayer import TanhLayer
from pybrain.tools.shortcuts import buildNetwork
from pybrain.rl.environments.shipsteer import ShipSteeringEnvironment
from pybrain.rl.environments.shipsteer imp... | 0.430267 | 0.167866 |
__all__ = [ 'RM_Peripheral_FEFILT1' ]
from . static import Base_RM_Peripheral
from . FEFILT1_register import *
class RM_Peripheral_FEFILT1(Base_RM_Peripheral):
def __init__(self, rmio, label):
self.__dict__['zz_frozen'] = False
super(RM_Peripheral_FEFILT1, self).__init__(rmio, label,
... | platform/radio/efr32_multiphy_configurator/host_py_rm_studio_internal/full/efr32xg25/revA0/FEFILT1.py |
__all__ = [ 'RM_Peripheral_FEFILT1' ]
from . static import Base_RM_Peripheral
from . FEFILT1_register import *
class RM_Peripheral_FEFILT1(Base_RM_Peripheral):
def __init__(self, rmio, label):
self.__dict__['zz_frozen'] = False
super(RM_Peripheral_FEFILT1, self).__init__(rmio, label,
... | 0.382372 | 0.078078 |
import pybullet as p
import os
import math
class Car:
def __init__(self, client):
self.client = client
f_name = os.path.join(os.path.dirname(__file__), 'simplecar.urdf')
self.car = p.loadURDF(fileName=f_name,
basePosition=[0, 0, 0.1],
... | rl_tracking/resources/car.py | import pybullet as p
import os
import math
class Car:
def __init__(self, client):
self.client = client
f_name = os.path.join(os.path.dirname(__file__), 'simplecar.urdf')
self.car = p.loadURDF(fileName=f_name,
basePosition=[0, 0, 0.1],
... | 0.691289 | 0.242531 |
from functools import partial
import math
from typing import Optional, List
import torch
import torch.nn as nn
from openfold.model.primitives import Linear, LayerNorm, Attention
from openfold.model.dropout import (
DropoutRowwise,
DropoutColumnwise,
)
from openfold.model.pair_transition import PairTransition
... | openfold/model/template.py | from functools import partial
import math
from typing import Optional, List
import torch
import torch.nn as nn
from openfold.model.primitives import Linear, LayerNorm, Attention
from openfold.model.dropout import (
DropoutRowwise,
DropoutColumnwise,
)
from openfold.model.pair_transition import PairTransition
... | 0.916764 | 0.341061 |
from requests import request
BASE = "http://localhost:5001/"
# Inserting Mango
print('Inserting Mango')
response = request(method='PUT', url=BASE + "api/fruitpal?commodity=mango&country=MX&fixed_overhead=32&variable_overhead=1.24")
print(response.status_code, response.json())
response = request(method='PUT', url=BAS... | fruitpal/insert_data.py | from requests import request
BASE = "http://localhost:5001/"
# Inserting Mango
print('Inserting Mango')
response = request(method='PUT', url=BASE + "api/fruitpal?commodity=mango&country=MX&fixed_overhead=32&variable_overhead=1.24")
print(response.status_code, response.json())
response = request(method='PUT', url=BAS... | 0.2522 | 0.0666 |
import logging
import io
import base64
import requests
import voluptuous as vol
from homeassistant.components.notify import (
ATTR_TITLE, ATTR_TITLE_DEFAULT, ATTR_DATA, BaseNotificationService,
PLATFORM_SCHEMA)
from homeassistant.const import CONF_TIMEOUT
import homeassistant.helpers.config_validation as cv
... | homeassistant/components/notify/nfandroidtv.py | import logging
import io
import base64
import requests
import voluptuous as vol
from homeassistant.components.notify import (
ATTR_TITLE, ATTR_TITLE_DEFAULT, ATTR_DATA, BaseNotificationService,
PLATFORM_SCHEMA)
from homeassistant.const import CONF_TIMEOUT
import homeassistant.helpers.config_validation as cv
... | 0.469034 | 0.128881 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._enums import *
__all__ = [
'ObservabilityConfigurationTag',
'ObservabilityConfigurationTraceConfiguration',
'ServiceAuthentication... | sdk/python/pulumi_aws_native/apprunner/outputs.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._enums import *
__all__ = [
'ObservabilityConfigurationTag',
'ObservabilityConfigurationTraceConfiguration',
'ServiceAuthentication... | 0.872239 | 0.064713 |
import requests, json, threading, logging
logger = logging.getLogger(__name__)
class Video:
def __init__(self, track, videoJSON):
if not videoJSON['id']['kind'] == 'youtube#video':
raise Exception('JSON was not a Youtube Video')
self.id = videoJSON['id']['videoId']
self.channelT... | spotitube/youtube.py | import requests, json, threading, logging
logger = logging.getLogger(__name__)
class Video:
def __init__(self, track, videoJSON):
if not videoJSON['id']['kind'] == 'youtube#video':
raise Exception('JSON was not a Youtube Video')
self.id = videoJSON['id']['videoId']
self.channelT... | 0.453746 | 0.060308 |
from __future__ import absolute_import
# Copyright (c) 2010-2016 openpyxl
from .drawing import Drawing
def bounding_box(bw, bh, w, h):
"""
Returns a tuple (new_width, new_height) which has the property
that it fits within box_width and box_height and has (close to)
the same aspect ratio as the origin... | lib/openpyxl/drawing/image.py | from __future__ import absolute_import
# Copyright (c) 2010-2016 openpyxl
from .drawing import Drawing
def bounding_box(bw, bh, w, h):
"""
Returns a tuple (new_width, new_height) which has the property
that it fits within box_width and box_height and has (close to)
the same aspect ratio as the origin... | 0.77373 | 0.185062 |
from datetime import date, datetime
from os.path import abspath, dirname, join
from pathlib import Path
from typing import IO, TYPE_CHECKING, Any, BinaryIO, Dict, Iterable, List, Optional, Tuple, Union
# iNaturalist URLs
API_V0_BASE_URL = 'https://www.inaturalist.org'
API_V1_BASE_URL = 'https://api.inaturalist.org/v1'... | pyinaturalist/constants.py | from datetime import date, datetime
from os.path import abspath, dirname, join
from pathlib import Path
from typing import IO, TYPE_CHECKING, Any, BinaryIO, Dict, Iterable, List, Optional, Tuple, Union
# iNaturalist URLs
API_V0_BASE_URL = 'https://www.inaturalist.org'
API_V1_BASE_URL = 'https://api.inaturalist.org/v1'... | 0.562417 | 0.183942 |
import pytest
from urlextract.urlextract_core import URLExtractError
@pytest.mark.parametrize("limit", (2, None))
@pytest.mark.parametrize(
"text, expected",
[
("Let's have URL http://janlipovsky.cz", ["http://janlipovsky.cz"]),
(
"http://aa.com/b.html https://aa.com/bb.html",
... | tests/unit/test_limit.py | import pytest
from urlextract.urlextract_core import URLExtractError
@pytest.mark.parametrize("limit", (2, None))
@pytest.mark.parametrize(
"text, expected",
[
("Let's have URL http://janlipovsky.cz", ["http://janlipovsky.cz"]),
(
"http://aa.com/b.html https://aa.com/bb.html",
... | 0.579638 | 0.5144 |
import unittest
import blackjack
class TestCard(unittest.TestCase):
def setUp(self):
self.cards = []
for i in range(52):
self.cards.append(blackjack.Card(i))
def test_get_value(self):
for index, card in enumerate(self.cards):
card_num = index % 13
v... | tests/test_blackjack.py | import unittest
import blackjack
class TestCard(unittest.TestCase):
def setUp(self):
self.cards = []
for i in range(52):
self.cards.append(blackjack.Card(i))
def test_get_value(self):
for index, card in enumerate(self.cards):
card_num = index % 13
v... | 0.526099 | 0.501099 |
import time
import clipboard
import random as rd
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_... | data-translation/crawler.py | import time
import clipboard
import random as rd
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_... | 0.314366 | 0.077692 |
from __future__ import absolute_import
import datetime
import functools
import king_phisher.geoip as geoip
import king_phisher.ipaddress as ipaddress
import geoip2.errors
import graphene.relay
import graphene.types.utils
import graphql.language.ast
import graphql_relay.connection.arrayconnection
__all__ = ('Connec... | king_phisher/server/graphql/types/misc.py |
from __future__ import absolute_import
import datetime
import functools
import king_phisher.geoip as geoip
import king_phisher.ipaddress as ipaddress
import geoip2.errors
import graphene.relay
import graphene.types.utils
import graphql.language.ast
import graphql_relay.connection.arrayconnection
__all__ = ('Connec... | 0.580114 | 0.101947 |
from typing import List, Iterable, Tuple
import csv
import os
from fileutil import OMITTED_ADDITION, get_filename_addition, DELETED_ADDITION
from outputresult import OutputResult
def records_to_csv(output_path: str, rows: Iterable[List[str]]):
"""Writes rows to a csv file at the specified path.
Args:
... | release_scripts/localization_scripts/csvutil.py | from typing import List, Iterable, Tuple
import csv
import os
from fileutil import OMITTED_ADDITION, get_filename_addition, DELETED_ADDITION
from outputresult import OutputResult
def records_to_csv(output_path: str, rows: Iterable[List[str]]):
"""Writes rows to a csv file at the specified path.
Args:
... | 0.786377 | 0.310917 |
import FWCore.ParameterSet.Config as cms
process = cms.Process("OWNPARTICLES")
process.load("FWCore.MessageService.MessageLogger_cfi")
process.maxEvents = cms.untracked.PSet( input = cms.untracked.int32(100) )
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring('file:/user/geisler/RelVal... | CommonTools/RecoUtils/test/pf_pu_assomap_cfg.py | import FWCore.ParameterSet.Config as cms
process = cms.Process("OWNPARTICLES")
process.load("FWCore.MessageService.MessageLogger_cfi")
process.maxEvents = cms.untracked.PSet( input = cms.untracked.int32(100) )
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring('file:/user/geisler/RelVal... | 0.3295 | 0.085556 |
# This is a parent class for handling serial devices.
# It implements some common functions related to serial communication
# such as open and close port, read and write, etc.
# Serial parameters can include:
# Baudrate,
# No. of data bit, start bit, and stop bit
# Parity: even, odd, none
import serial
import sys
i... | SerialDevice.py |
# This is a parent class for handling serial devices.
# It implements some common functions related to serial communication
# such as open and close port, read and write, etc.
# Serial parameters can include:
# Baudrate,
# No. of data bit, start bit, and stop bit
# Parity: even, odd, none
import serial
import sys
i... | 0.568056 | 0.30399 |
import numpy as np
import skfuzzy as fuzz
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from skfuzzy import control as ctrl
import scipy.io
# Set for reproducibility
np.random.seed(seed=123)
loc_risk = ctrl.Antecedent(np.arange(0, 11, 1), 'loc_risk')
maintenance = ... | data_gen.py |
import numpy as np
import skfuzzy as fuzz
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from skfuzzy import control as ctrl
import scipy.io
# Set for reproducibility
np.random.seed(seed=123)
loc_risk = ctrl.Antecedent(np.arange(0, 11, 1), 'loc_risk')
maintenance = ... | 0.425844 | 0.436862 |
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import os
import time
from ansible import constants as C
from ansible.plugins.action import ActionBase
from ansible.utils.vars import combine_vars
class ActionModule(ActionBase):
def _get_module_args(self, fact_module, tas... | virt/ansible-latest/lib/python2.7/site-packages/ansible/plugins/action/gather_facts.py |
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import os
import time
from ansible import constants as C
from ansible.plugins.action import ActionBase
from ansible.utils.vars import combine_vars
class ActionModule(ActionBase):
def _get_module_args(self, fact_module, tas... | 0.475849 | 0.091992 |
import os
import sys
from collections import OrderedDict
from matplotlib import pyplot as plt
from PIL import Image
import numpy as np
class History():
def __init__(self):
self.epoch_log = []
self.batch_log = {}
def update_epoch_log(self, log):
if type(log) not in [OrderedDict]:
... | torchfit/utils.py | import os
import sys
from collections import OrderedDict
from matplotlib import pyplot as plt
from PIL import Image
import numpy as np
class History():
def __init__(self):
self.epoch_log = []
self.batch_log = {}
def update_epoch_log(self, log):
if type(log) not in [OrderedDict]:
... | 0.333937 | 0.189746 |
#Copyright 2013 Sandia Corporation. Under the terms of Contract DE-AC04-94AL85000, there is a non-exclusive license for use of this work by or on behalf of the U.S. Government. Export of this program may require a license from the United States Government.
import pymongo
import gridfs
import pickle
import Queue
impor... | processing/updateTopicmodel.py |
#Copyright 2013 Sandia Corporation. Under the terms of Contract DE-AC04-94AL85000, there is a non-exclusive license for use of this work by or on behalf of the U.S. Government. Export of this program may require a license from the United States Government.
import pymongo
import gridfs
import pickle
import Queue
impor... | 0.352871 | 0.213172 |
import numpy as np
def layer_final_forcings(OutputObj,input_forcings,ConfigOptions,MpiConfig):
"""
Function to perform basic layering of input forcings as they are processed. The logic
works as following:
1.) As the parent calling program loops through the forcings for each layer
for this times... | core/layeringMod.py | import numpy as np
def layer_final_forcings(OutputObj,input_forcings,ConfigOptions,MpiConfig):
"""
Function to perform basic layering of input forcings as they are processed. The logic
works as following:
1.) As the parent calling program loops through the forcings for each layer
for this times... | 0.623377 | 0.442877 |
import re
import json
import socket
import os.path
import logging
from threading import Thread
from logging.handlers import TimedRotatingFileHandler
logging.basicConfig(
level=logging.DEBUG,
format="[%(levelname)s] [%(asctime)s] >> \n%(message)s",
datefmt="%Y-%m-%d %H:%M:%S"
)
class Bot:
def __init__(... | bot/core.py | import re
import json
import socket
import os.path
import logging
from threading import Thread
from logging.handlers import TimedRotatingFileHandler
logging.basicConfig(
level=logging.DEBUG,
format="[%(levelname)s] [%(asctime)s] >> \n%(message)s",
datefmt="%Y-%m-%d %H:%M:%S"
)
class Bot:
def __init__(... | 0.261897 | 0.0771 |
from collections import OrderedDict
from django.db.models import F
from mep.books.models import CreatorType, Work
from mep.common.management.export import BaseExport
from mep.common.utils import absolutize_url
class Command(BaseExport):
'''Export book data.'''
help = __doc__
model = Work
# get a c... | mep/books/management/commands/export_books.py | from collections import OrderedDict
from django.db.models import F
from mep.books.models import CreatorType, Work
from mep.common.management.export import BaseExport
from mep.common.utils import absolutize_url
class Command(BaseExport):
'''Export book data.'''
help = __doc__
model = Work
# get a c... | 0.564699 | 0.248318 |
from collections import defaultdict
from bs4 import BeautifulSoup
from nltk import word_tokenize
import nltk
from stopwords import *
import os
import time
import sys
nltk.download('punkt')
OFF_SET_NEIGHBOUR = 20
def remove_non_text_elements(soup):
for script in soup(["script", "style", "link", "iframe", "noscri... | implementation-indexing/run-basic-search.py | from collections import defaultdict
from bs4 import BeautifulSoup
from nltk import word_tokenize
import nltk
from stopwords import *
import os
import time
import sys
nltk.download('punkt')
OFF_SET_NEIGHBOUR = 20
def remove_non_text_elements(soup):
for script in soup(["script", "style", "link", "iframe", "noscri... | 0.242116 | 0.123471 |
__author__ = "<NAME>"
__contact__ = "University of Freiburg, IMTEK, <NAME>"
__credits__ = "<NAME>"
__version__ = "1.0.0"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>, <EMAIL>"
# Import dependencies
from tkinter import *
from tkinter.ttk import *
from FreiStat.Data_storage.constants import *
import FreiStat as FS
im... | Python/FreiStat_GUI/PopUp_Window/__init__.py | __author__ = "<NAME>"
__contact__ = "University of Freiburg, IMTEK, <NAME>"
__credits__ = "<NAME>"
__version__ = "1.0.0"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>, <EMAIL>"
# Import dependencies
from tkinter import *
from tkinter.ttk import *
from FreiStat.Data_storage.constants import *
import FreiStat as FS
im... | 0.501465 | 0.068257 |
from pandac.PandaModules import *
from direct.interval.IntervalGlobal import *
from direct.particles import ParticleEffect
from direct.particles import Particles
from EffectController import EffectController
from PooledEffect import PooledEffect
from otp.otpbase import OTPRender
from pirates.audio import SoundGlobals
f... | pirates/effects/MonkeyPanic.py | from pandac.PandaModules import *
from direct.interval.IntervalGlobal import *
from direct.particles import ParticleEffect
from direct.particles import Particles
from EffectController import EffectController
from PooledEffect import PooledEffect
from otp.otpbase import OTPRender
from pirates.audio import SoundGlobals
f... | 0.649245 | 0.15034 |
from logging import getLogger
from datetime import datetime
from traceback import format_exc
from collections import OrderedDict
from codecs import open as open_with_encoding
from inflection import titleize
from .utils import get_file, count_lines
log = getLogger(__name__)
REGISTRY_URL = 'https://www.tse.go.cr/zi... | lib/tse2sql/readers.py | from logging import getLogger
from datetime import datetime
from traceback import format_exc
from collections import OrderedDict
from codecs import open as open_with_encoding
from inflection import titleize
from .utils import get_file, count_lines
log = getLogger(__name__)
REGISTRY_URL = 'https://www.tse.go.cr/zi... | 0.608478 | 0.296893 |
import numpy as np
import xarray as xr
def generate_mcmc_like_dataset(seed=None):
"""Generate a Dataset with multiple variables, some with dimensions from mcmc sampling.
Parameters
----------
seed : int or sequence of int, optional
The random seed used to initialize :func:`numpy.random.defaul... | src/xarray_einstats/tutorial.py | import numpy as np
import xarray as xr
def generate_mcmc_like_dataset(seed=None):
"""Generate a Dataset with multiple variables, some with dimensions from mcmc sampling.
Parameters
----------
seed : int or sequence of int, optional
The random seed used to initialize :func:`numpy.random.defaul... | 0.918162 | 0.669252 |
import sys
from math import floor
from os import environ, getcwd
from os.path import dirname, realpath, join, exists
from flask import Flask, render_template, request, redirect, session
from datetime import datetime, timezone, timedelta
sys.path.insert(0, realpath(join(getcwd(), dirname(__file__))))
import google_au... | sms2web/__init__.py |
import sys
from math import floor
from os import environ, getcwd
from os.path import dirname, realpath, join, exists
from flask import Flask, render_template, request, redirect, session
from datetime import datetime, timezone, timedelta
sys.path.insert(0, realpath(join(getcwd(), dirname(__file__))))
import google_au... | 0.35031 | 0.057493 |
from __future__ import absolute_import, division, print_function
from operator import itemgetter
from cctbx.sgtbx.direct_space_asu import cut_plane
from cctbx.array_family import flex
from scitbx import matrix
import scitbx.math
from boost_adaptbx.boost import rational
from six.moves import range
from six.moves import ... | cctbx/sgtbx/direct_space_asu/facet_analysis.py | from __future__ import absolute_import, division, print_function
from operator import itemgetter
from cctbx.sgtbx.direct_space_asu import cut_plane
from cctbx.array_family import flex
from scitbx import matrix
import scitbx.math
from boost_adaptbx.boost import rational
from six.moves import range
from six.moves import ... | 0.402862 | 0.32861 |
import json
from aioquant import const
from aioquant.utils import logger
class Orderbook:
"""Orderbook object.
Args:
platform: Exchange platform name, e.g. `binance` / `bitmex`.
symbol: Trade pair name, e.g. `ETH/BTC`.
asks: Asks list, e.g. `[[price, quantity], [...], ...]`
b... | aioquant/market.py | import json
from aioquant import const
from aioquant.utils import logger
class Orderbook:
"""Orderbook object.
Args:
platform: Exchange platform name, e.g. `binance` / `bitmex`.
symbol: Trade pair name, e.g. `ETH/BTC`.
asks: Asks list, e.g. `[[price, quantity], [...], ...]`
b... | 0.90196 | 0.389982 |
from typing import Dict,Sequence,List
from dmt.entity import Entity
from dmt.blueprint import Blueprint
from .blueprints.dofcontrolconfiguration import DOFControlConfigurationBlueprint
from typing import Dict
from sima.sima.moao import MOAO
from sima.sima.scriptablevalue import ScriptableValue
from sima.simo.controldof... | src/sima/simo/dofcontrolconfiguration.py | from typing import Dict,Sequence,List
from dmt.entity import Entity
from dmt.blueprint import Blueprint
from .blueprints.dofcontrolconfiguration import DOFControlConfigurationBlueprint
from typing import Dict
from sima.sima.moao import MOAO
from sima.sima.scriptablevalue import ScriptableValue
from sima.simo.controldof... | 0.882466 | 0.539711 |
import numpy as np
class Color:
"""
Lists of known colors.
"""
colors = {
'red': (1., 0., 0.),
'green': (0., 1., 0.),
'blue': (0., 0., 1.),
'white': (1., 1., 1.),
'black': (0., 0., 0.),
'darkblue': '#00008b',
}
def __init__(self, name):
... | src/pyensae/graphhelper/_colormap.py | import numpy as np
class Color:
"""
Lists of known colors.
"""
colors = {
'red': (1., 0., 0.),
'green': (0., 1., 0.),
'blue': (0., 0., 1.),
'white': (1., 1., 1.),
'black': (0., 0., 0.),
'darkblue': '#00008b',
}
def __init__(self, name):
... | 0.882326 | 0.439747 |
import pytest
import mindspore.dataset as ds
from mindspore import log as logger
from util import config_get_set_num_parallel_workers, config_get_set_seed
DATA_DIR = '../data/dataset/testCoNLL2000Dataset'
def test_conll2000_dataset_one_file():
"""
Feature: CoNLL2000ChunkingDataset.
Description: test par... | tests/ut/python/dataset/test_datasets_conll2000.py | import pytest
import mindspore.dataset as ds
from mindspore import log as logger
from util import config_get_set_num_parallel_workers, config_get_set_seed
DATA_DIR = '../data/dataset/testCoNLL2000Dataset'
def test_conll2000_dataset_one_file():
"""
Feature: CoNLL2000ChunkingDataset.
Description: test par... | 0.377311 | 0.504883 |
import os
import re
import subprocess
from contextlib import contextmanager
from os.path import expandvars
from pathlib import Path
from typing import Optional, Union
import cpuinfo
import psutil
from codecarbon.external.logger import logger
def is_jetson():
return os.path.isdir('/sys/bus/i2c/drivers/ina3221x/0... | codecarbon/core/util.py | import os
import re
import subprocess
from contextlib import contextmanager
from os.path import expandvars
from pathlib import Path
from typing import Optional, Union
import cpuinfo
import psutil
from codecarbon.external.logger import logger
def is_jetson():
return os.path.isdir('/sys/bus/i2c/drivers/ina3221x/0... | 0.708213 | 0.212661 |
import json
import os
import cv2
import numpy as np
from pynif3d import logger
from pynif3d.common.verification import (
check_in_options,
check_lengths_match,
check_path_exists,
check_pos_int,
)
from pynif3d.datasets.base_dataset import BaseDataset
from pynif3d.log.log_funcs import func_logger
clas... | pynif3d/datasets/blender.py | import json
import os
import cv2
import numpy as np
from pynif3d import logger
from pynif3d.common.verification import (
check_in_options,
check_lengths_match,
check_path_exists,
check_pos_int,
)
from pynif3d.datasets.base_dataset import BaseDataset
from pynif3d.log.log_funcs import func_logger
clas... | 0.692746 | 0.452173 |
## First, some preliminaries that will be needed.
import hashlib
def sha512(s):
return hashlib.sha512(s).digest()
# Base field Z_p
p = 2 ** 255 - 19
def modp_inv(x):
return pow(x, p - 2, p)
# Curve constant
d = -121665 * modp_inv(121666) % p
# Group order
q = 2 ** 252 + 27742317777372353535851937790... | hydrand/ed25519_ref/__init__.py |
## First, some preliminaries that will be needed.
import hashlib
def sha512(s):
return hashlib.sha512(s).digest()
# Base field Z_p
p = 2 ** 255 - 19
def modp_inv(x):
return pow(x, p - 2, p)
# Curve constant
d = -121665 * modp_inv(121666) % p
# Group order
q = 2 ** 252 + 27742317777372353535851937790... | 0.719778 | 0.51946 |
import pytest
import tempfile
from contextlib import suppress
from requests.exceptions import HTTPError
import numpy as np
import pandas as pd
from astropy import units as u
from astropy.coordinates import SkyCoord
from huntsman.drp import refcat as rc
@pytest.fixture(scope="function")
def ra_list():
return [30... | src/huntsman/drp/tests/test_refcat.py | import pytest
import tempfile
from contextlib import suppress
from requests.exceptions import HTTPError
import numpy as np
import pandas as pd
from astropy import units as u
from astropy.coordinates import SkyCoord
from huntsman.drp import refcat as rc
@pytest.fixture(scope="function")
def ra_list():
return [30... | 0.624294 | 0.403449 |
# pylint: disable=unused-argument
import logging
import unittest
from devil import devil_env
from devil.android import cpu_temperature
from devil.android import device_utils
from devil.utils import mock_calls
from devil.android.sdk import adb_wrapper
with devil_env.SysPath(devil_env.PYMOCK_PATH):
import mock # py... | devil/devil/android/cpu_temperature_test.py | # pylint: disable=unused-argument
import logging
import unittest
from devil import devil_env
from devil.android import cpu_temperature
from devil.android import device_utils
from devil.utils import mock_calls
from devil.android.sdk import adb_wrapper
with devil_env.SysPath(devil_env.PYMOCK_PATH):
import mock # py... | 0.613584 | 0.216985 |
from telethon import events
from telethon.errors.rpcerrorlist import YouBlockedUserError
from telethon.tl.functions.account import UpdateNotifySettingsRequest
from darkbot import bot, CmdHelp
from darkbot.utils import admin_cmd, edit_or_reply as eor, sudo_cmd
@darkbot.on(admin_cmd(pattern="history ?(.*)"))
@darkbot.on... | userbot/plugins/history.py | from telethon import events
from telethon.errors.rpcerrorlist import YouBlockedUserError
from telethon.tl.functions.account import UpdateNotifySettingsRequest
from darkbot import bot, CmdHelp
from darkbot.utils import admin_cmd, edit_or_reply as eor, sudo_cmd
@darkbot.on(admin_cmd(pattern="history ?(.*)"))
@darkbot.on... | 0.233969 | 0.094971 |
import math
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from urllib.parse import unquote
app = FastAPI()
origins = [
"http://localhost:3000",
"localhost:3000",
"http://192.168.100.14:3000",
"https://calculator-react-ui.herokuapp.com"
]
app.add_middleware(
CORS... | app/api.py | import math
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from urllib.parse import unquote
app = FastAPI()
origins = [
"http://localhost:3000",
"localhost:3000",
"http://192.168.100.14:3000",
"https://calculator-react-ui.herokuapp.com"
]
app.add_middleware(
CORS... | 0.630571 | 0.32744 |
import pandas as pd
from sklearn.metrics import accuracy_score
from sklearn.metrics import precision_score
from sklearn.metrics import recall_score
from sklearn.metrics import f1_score
from sklearn.metrics import roc_auc_score
import joblib as job
from matplotlib import pyplot as plt
from sklearn.metrics import confusi... | src/models/helpers.py | import pandas as pd
from sklearn.metrics import accuracy_score
from sklearn.metrics import precision_score
from sklearn.metrics import recall_score
from sklearn.metrics import f1_score
from sklearn.metrics import roc_auc_score
import joblib as job
from matplotlib import pyplot as plt
from sklearn.metrics import confusi... | 0.631481 | 0.423816 |
import numpy as np
import pandas as pd
import scipy.stats as stats
import h5py as h5
from tensorsignatures.config import *
from tensorsignatures.util import *
import subprocess
import os
class TensorSignatureData(object):
r"""Makes sample data for TensorSignatures
Args:
seed (:obj:`int`): Seed for s... | tensorsignatures/data.py |
import numpy as np
import pandas as pd
import scipy.stats as stats
import h5py as h5
from tensorsignatures.config import *
from tensorsignatures.util import *
import subprocess
import os
class TensorSignatureData(object):
r"""Makes sample data for TensorSignatures
Args:
seed (:obj:`int`): Seed for s... | 0.847621 | 0.44089 |
from typing import Any, Dict
from dataclasses import dataclass
from flask import request
import marshmallow as ma
from ....util.import_helpers import get_all_classes_of_module
from ...base_models import BaseApiObject, MaBaseSchema, ApiResponseSchema, ApiObjectSchema
__all__ = []
class SchemaField(ma.fields.Fiel... | muse_for_anything/api/v1_api/models/schema.py |
from typing import Any, Dict
from dataclasses import dataclass
from flask import request
import marshmallow as ma
from ....util.import_helpers import get_all_classes_of_module
from ...base_models import BaseApiObject, MaBaseSchema, ApiResponseSchema, ApiObjectSchema
__all__ = []
class SchemaField(ma.fields.Fiel... | 0.778607 | 0.242412 |
__author__ = "<NAME>"
__email__ = "<EMAIL>"
import time
class Driver(object):
"""Agilent N6705B Power Supply - Driver specific Class."""
def __init__(self, inst, cfg=None):
"""Initialize the specific driver."""
self.i = inst
if not cfg:
self.i.set_error("Configuration File for this instrument ... | instruments/AgilentN6705B.py | __author__ = "<NAME>"
__email__ = "<EMAIL>"
import time
class Driver(object):
"""Agilent N6705B Power Supply - Driver specific Class."""
def __init__(self, inst, cfg=None):
"""Initialize the specific driver."""
self.i = inst
if not cfg:
self.i.set_error("Configuration File for this instrument ... | 0.721645 | 0.161816 |
import haiku as hk
import jax
import jax.numpy as jnp
import numpy as np
from functools import partial
import optax
from jax.experimental.maps import mesh
from jax.experimental import PartitionSpec
from jax.experimental.pjit import pjit
from clip_model import TextCLIP
import clip_jax
def cfg_encode_text(config, tok... | clip_trainer.py | import haiku as hk
import jax
import jax.numpy as jnp
import numpy as np
from functools import partial
import optax
from jax.experimental.maps import mesh
from jax.experimental import PartitionSpec
from jax.experimental.pjit import pjit
from clip_model import TextCLIP
import clip_jax
def cfg_encode_text(config, tok... | 0.828315 | 0.29476 |
import urllib, re
import json
import api
class Module(api.Module):
'''A module for preforming web lookups of various
facts. Responds to "what is" questings best'''
urls = {
'ddg': 'https://duckduckgo.com/?q=%s&o=json&d=1',
'fb': 'https://api.freebase.com/api/experimental/topic/standard?id=... | modules/ddgbot.py | import urllib, re
import json
import api
class Module(api.Module):
'''A module for preforming web lookups of various
facts. Responds to "what is" questings best'''
urls = {
'ddg': 'https://duckduckgo.com/?q=%s&o=json&d=1',
'fb': 'https://api.freebase.com/api/experimental/topic/standard?id=... | 0.211254 | 0.132515 |
import re # noqa: F401
import sys # noqa: F401
from multiprocessing.pool import ApplyResult
import typing
from fds.sdk.ProcuretoPaySCIM.api_client import ApiClient, Endpoint as _Endpoint
from fds.sdk.ProcuretoPaySCIM.model_utils import ( # noqa: F401
check_allowed_values,
check_validations,
date,
da... | code/python/ProcuretoPaySCIM/v1/fds/sdk/ProcuretoPaySCIM/api/groups_api.py | import re # noqa: F401
import sys # noqa: F401
from multiprocessing.pool import ApplyResult
import typing
from fds.sdk.ProcuretoPaySCIM.api_client import ApiClient, Endpoint as _Endpoint
from fds.sdk.ProcuretoPaySCIM.model_utils import ( # noqa: F401
check_allowed_values,
check_validations,
date,
da... | 0.303009 | 0.093471 |
from __future__ import print_function
from .utils import *
from .types import *
import msgpackrpc
import threading
import warnings
warnings.simplefilter("ignore", DeprecationWarning)
class VehicleClient:
mutex = threading.Lock()
def __init__(self, ip="", port=41451, timeout_value=3600):
if ip == ... | dronesim/client.py | from __future__ import print_function
from .utils import *
from .types import *
import msgpackrpc
import threading
import warnings
warnings.simplefilter("ignore", DeprecationWarning)
class VehicleClient:
mutex = threading.Lock()
def __init__(self, ip="", port=41451, timeout_value=3600):
if ip == ... | 0.588653 | 0.053206 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
... | src/imageboard/migrations/0001_initial.py |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
... | 0.542863 | 0.194119 |
import datetime
import numpy as np
import pandas as pd
class ModelObject(object):
"""Generic class for holding forecasting models.
Models should all have methods:
.fit(df, future_regressor = []) (taking a DataFrame with DatetimeIndex and n columns of n timeseries)
.predict(forecast_length = i... | autots/models/base.py | import datetime
import numpy as np
import pandas as pd
class ModelObject(object):
"""Generic class for holding forecasting models.
Models should all have methods:
.fit(df, future_regressor = []) (taking a DataFrame with DatetimeIndex and n columns of n timeseries)
.predict(forecast_length = i... | 0.894624 | 0.404978 |
import sys, getopt
import io
import datetime
import requests
import json
apikey = 'local-e5ee347a4ba5'
fromSite = 'revima'
toSite = 'insight'
tag = 'REP202'
toLayoutId=557327
def getEvent(e):
urlGetEvent = 'https://'+fromSite+'.flightwatching.com/fleet/apiv3/events/'+str(e['id'])
print(urlGetEvent)
params... | python/copyRevima2InsightApuCosts.py | import sys, getopt
import io
import datetime
import requests
import json
apikey = 'local-e5ee347a4ba5'
fromSite = 'revima'
toSite = 'insight'
tag = 'REP202'
toLayoutId=557327
def getEvent(e):
urlGetEvent = 'https://'+fromSite+'.flightwatching.com/fleet/apiv3/events/'+str(e['id'])
print(urlGetEvent)
params... | 0.081406 | 0.111483 |
import json
from geslo import sifriraj_geslo
PARAM_FMT = ":{}"
class Ekol:
'''
Razred, ki predstavlja tabelo v bazi.
Polja razreda:
- ime: ime tabele
- podatki: ime datoteke s podatki ali None
'''
ime = None
podatki = None
def __init__(self, conn):
... | baza.py | import json
from geslo import sifriraj_geslo
PARAM_FMT = ":{}"
class Ekol:
'''
Razred, ki predstavlja tabelo v bazi.
Polja razreda:
- ime: ime tabele
- podatki: ime datoteke s podatki ali None
'''
ime = None
podatki = None
def __init__(self, conn):
... | 0.146942 | 0.213951 |
from _skelet_functions import *
def worst_case_strategy(guesses, answer, possibilities=None):
if len(guesses) < 1:
remaining_answers = create_list_of_combinations(COMBINATIONS, 4)
guess = remaining_answers[7]
feedback = feedback_calculate(answer, guess)
else:
remaining_answer... | _worst_case_strategy.py | from _skelet_functions import *
def worst_case_strategy(guesses, answer, possibilities=None):
if len(guesses) < 1:
remaining_answers = create_list_of_combinations(COMBINATIONS, 4)
guess = remaining_answers[7]
feedback = feedback_calculate(answer, guess)
else:
remaining_answer... | 0.441432 | 0.517144 |
from .printing import PybnfError
from subprocess import run, TimeoutExpired, Popen, PIPE, STDOUT, CalledProcessError, DEVNULL
import logging
import re
import time
import numpy as np
from multiprocessing import cpu_count
logger = logging.getLogger(__name__)
def get_scheduler(config):
"""
:param config: PyB... | pybnf/cluster.py | from .printing import PybnfError
from subprocess import run, TimeoutExpired, Popen, PIPE, STDOUT, CalledProcessError, DEVNULL
import logging
import re
import time
import numpy as np
from multiprocessing import cpu_count
logger = logging.getLogger(__name__)
def get_scheduler(config):
"""
:param config: PyB... | 0.494629 | 0.099383 |
import os
import shutil
from dataclasses import dataclass
import logging
import numpy as np
import tables
from phd.satellite.satellite_pb2 import MeanRun
from phd.utils.run_tools import InputData
from tables import open_file, Filters, File
logger = logging.getLogger(__name__)
class MeanTable:
def __init__(self, ... | python/phd/satellite/mean_table.py | import os
import shutil
from dataclasses import dataclass
import logging
import numpy as np
import tables
from phd.satellite.satellite_pb2 import MeanRun
from phd.utils.run_tools import InputData
from tables import open_file, Filters, File
logger = logging.getLogger(__name__)
class MeanTable:
def __init__(self, ... | 0.546012 | 0.283769 |
from redis_support_py3.graph_query_support_py3 import Query_Support
from redis_support_py3.construct_data_handlers_py3 import Generate_Handlers
import datetime
import msgpack
class Construct_RPC_Library(object):
def __init__( self, qs, site_data ):
self.site_data = site_data
... | flask_web/sqlite_library/sqlite_server_lib_py3.py | from redis_support_py3.graph_query_support_py3 import Query_Support
from redis_support_py3.construct_data_handlers_py3 import Generate_Handlers
import datetime
import msgpack
class Construct_RPC_Library(object):
def __init__( self, qs, site_data ):
self.site_data = site_data
... | 0.141667 | 0.086555 |
from argparse import ArgumentParser
import glob
import os
from .config import ConfigReader, ReadingError
from .dispatcher import Dispatcher, DispatchError
from .logging import Level
from .logging import Logger
from .util import module
def add_options(parser):
"""
Adds all options to the specified parser.
:par... | dotwerke/cli.py | from argparse import ArgumentParser
import glob
import os
from .config import ConfigReader, ReadingError
from .dispatcher import Dispatcher, DispatchError
from .logging import Level
from .logging import Logger
from .util import module
def add_options(parser):
"""
Adds all options to the specified parser.
:par... | 0.53048 | 0.068164 |
from __future__ import absolute_import, division, print_function, unicode_literals
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from pkg_resources import DistributionNotFound, get_distribution
from haystack import signals
from haystack.constants import DEFAULT_ALIA... | oscar/lib/python2.7/site-packages/haystack/__init__.py |
from __future__ import absolute_import, division, print_function, unicode_literals
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from pkg_resources import DistributionNotFound, get_distribution
from haystack import signals
from haystack.constants import DEFAULT_ALIA... | 0.475362 | 0.051344 |
import numpy as np
import pandas as pd
from six import string_types
class DummyCurve(object):
def __init__(self, datas):
"""
Parse a curvedata format
:param datas: list of dicts
"""
if isinstance(datas, (list, tuple)):
pass
for data in datas:
... | mesures/parsers/dummy_data.py | import numpy as np
import pandas as pd
from six import string_types
class DummyCurve(object):
def __init__(self, datas):
"""
Parse a curvedata format
:param datas: list of dicts
"""
if isinstance(datas, (list, tuple)):
pass
for data in datas:
... | 0.272508 | 0.411702 |
import urllib, requests
class AniSearch(object):
## REQUIRED : urllib , requests
def __init__(self, path):
self.pic_path = path
self.b64img = None
self.season = None; self.anime = None
def image_b64(self):
with open(self.pic_path, 'rb') as img_file:
encode_str = img_file.read()
self.b6... | Image2Anime.py | import urllib, requests
class AniSearch(object):
## REQUIRED : urllib , requests
def __init__(self, path):
self.pic_path = path
self.b64img = None
self.season = None; self.anime = None
def image_b64(self):
with open(self.pic_path, 'rb') as img_file:
encode_str = img_file.read()
self.b6... | 0.179315 | 0.078997 |
from django.contrib.auth import get_user_model
from django.contrib.auth.password_validation import validate_password
from django.utils.translation import ugettext_lazy as _
from rest_framework import serializers, exceptions
from .models.user_model import Account
from .models.models import Country
from .password_confi... | mysite/account/serializers.py | from django.contrib.auth import get_user_model
from django.contrib.auth.password_validation import validate_password
from django.utils.translation import ugettext_lazy as _
from rest_framework import serializers, exceptions
from .models.user_model import Account
from .models.models import Country
from .password_confi... | 0.38885 | 0.134378 |
import csv
from decimal import *
import math
from math import *
import sys
import numpy
from numpy import *
from argparse import ArgumentParser
def main():
# Ground Truth and Measurement Path
parser = ArgumentParser()
parser.add_argument("-g", "--ground-truth", nargs='+', help="the ground truth csv file y... | evaluate.py | import csv
from decimal import *
import math
from math import *
import sys
import numpy
from numpy import *
from argparse import ArgumentParser
def main():
# Ground Truth and Measurement Path
parser = ArgumentParser()
parser.add_argument("-g", "--ground-truth", nargs='+', help="the ground truth csv file y... | 0.295027 | 0.309402 |
import pyglet
from pybox.graphics import window
class GameWindow(window.Window):
def __init__(self, registry, *args, **kwargs):
super().__init__(*args, **kwargs)
self._registry = registry
self._keys = pyglet.window.key.KeyStateHandler()
self.push_handlers(self._keys)
# V... | app/window.py | import pyglet
from pybox.graphics import window
class GameWindow(window.Window):
def __init__(self, registry, *args, **kwargs):
super().__init__(*args, **kwargs)
self._registry = registry
self._keys = pyglet.window.key.KeyStateHandler()
self.push_handlers(self._keys)
# V... | 0.541894 | 0.199327 |
base_folder = '%DVT_ROOT%/'
caffevis_deploy_prototxt = base_folder + './models/bvlc-googlenet/bvlc-googlenet-deploy.prototxt'
caffevis_network_weights = base_folder + './models/bvlc-googlenet/bvlc_googlenet.caffemodel'
caffevis_data_mean = (104, 117, 123)
# input images
static_files_dir = base_folder + './input_... | model_settings/settings_bvlc_googlenet.py | base_folder = '%DVT_ROOT%/'
caffevis_deploy_prototxt = base_folder + './models/bvlc-googlenet/bvlc-googlenet-deploy.prototxt'
caffevis_network_weights = base_folder + './models/bvlc-googlenet/bvlc_googlenet.caffemodel'
caffevis_data_mean = (104, 117, 123)
# input images
static_files_dir = base_folder + './input_... | 0.391522 | 0.052207 |
import uuid
import json
import logging
import falcon
import falcon.request
import drydock_provisioner.error as errors
class BaseResource(object):
def __init__(self):
self.logger = logging.getLogger('drydock')
def on_options(self, req, resp):
self_attrs = dir(self)
methods = ['GET', ... | drydock_provisioner/control/base.py | import uuid
import json
import logging
import falcon
import falcon.request
import drydock_provisioner.error as errors
class BaseResource(object):
def __init__(self):
self.logger = logging.getLogger('drydock')
def on_options(self, req, resp):
self_attrs = dir(self)
methods = ['GET', ... | 0.373762 | 0.060668 |
import numpy as np
from lenstronomy.ImSim.MultiBand.single_band_multi_model import SingleBandMultiModel
from lenstronomy.ImSim.MultiBand.multi_linear import MultiLinear
from lenstronomy.ImSim.MultiBand.joint_linear import JointLinear
class ImageLikelihood(object):
"""
manages imaging data likelihoods
"""
... | lenstronomy/Sampling/Likelihoods/image_likelihood.py | import numpy as np
from lenstronomy.ImSim.MultiBand.single_band_multi_model import SingleBandMultiModel
from lenstronomy.ImSim.MultiBand.multi_linear import MultiLinear
from lenstronomy.ImSim.MultiBand.joint_linear import JointLinear
class ImageLikelihood(object):
"""
manages imaging data likelihoods
"""
... | 0.877122 | 0.549882 |
from .mpi_p2p_mp.base_framework.algorithm_api import FedML_Base_distributed
from .mpi_p2p_mp.decentralized_framework.algorithm_api import (
FedML_Decentralized_Demo_distributed,
)
from .mpi_p2p_mp.fedavg.FedAvgAPI import FedML_FedAvg_distributed
from .mpi_p2p_mp.fedavg_robust.FedAvgRobustAPI import FedML_FedAvgRobu... | python/fedml/simulation/simulator.py | from .mpi_p2p_mp.base_framework.algorithm_api import FedML_Base_distributed
from .mpi_p2p_mp.decentralized_framework.algorithm_api import (
FedML_Decentralized_Demo_distributed,
)
from .mpi_p2p_mp.fedavg.FedAvgAPI import FedML_FedAvg_distributed
from .mpi_p2p_mp.fedavg_robust.FedAvgRobustAPI import FedML_FedAvgRobu... | 0.486332 | 0.090937 |
import abc
import asyncio
import subprocess
from time import sleep
from . import logger
from .constants import VOLUME_FADE_SECONDS
try:
import alsaaudio # pylint: disable=import-error
except:
pass
def cap(volume, _min=1, _max=100):
return min(max(volume, _min), _max)
class VolumeControl(abc.ABC):
... | spfy/volume.py | import abc
import asyncio
import subprocess
from time import sleep
from . import logger
from .constants import VOLUME_FADE_SECONDS
try:
import alsaaudio # pylint: disable=import-error
except:
pass
def cap(volume, _min=1, _max=100):
return min(max(volume, _min), _max)
class VolumeControl(abc.ABC):
... | 0.53607 | 0.144964 |
import os
import sys
# add project dir to path
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(BASE_DIR)
from absl import flags
from absl import app
import numpy as np
from pprint import pprint
from meta_learn.util import get_logger
from experiments.util import *
from experiment... | experiments/meta_overfitting_v2/neural_processes_overfitting_base.py | import os
import sys
# add project dir to path
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(BASE_DIR)
from absl import flags
from absl import app
import numpy as np
from pprint import pprint
from meta_learn.util import get_logger
from experiments.util import *
from experiment... | 0.448909 | 0.238406 |
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.python_operator import BranchPythonOperator
from airflow.utils.trigger_rule import TriggerRule
from liminal.runners.airflow.model import task
from liminal.runners.airflow.operators.cloudformation import CloudFormationDeleteStackOperator,... | liminal/runners/airflow/tasks/delete_cloudformation_stack.py | from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.python_operator import BranchPythonOperator
from airflow.utils.trigger_rule import TriggerRule
from liminal.runners.airflow.model import task
from liminal.runners.airflow.operators.cloudformation import CloudFormationDeleteStackOperator,... | 0.675658 | 0.239972 |
# Como comer um gigante.... é com um pedaço de cada vez.
# Na hora de fazer este exercicio, atentar para
# Com o arquivo de cadastro.txt onde possui os seguintes dados: codigo cliente, nome, idade, sexo, e-mail e telefone
# 1 - Crie um metodo que gere e retorne uma lista com bibliotecas com os dados dos clientes
# 2... | Aula_19/exercicio3.py |
# Como comer um gigante.... é com um pedaço de cada vez.
# Na hora de fazer este exercicio, atentar para
# Com o arquivo de cadastro.txt onde possui os seguintes dados: codigo cliente, nome, idade, sexo, e-mail e telefone
# 1 - Crie um metodo que gere e retorne uma lista com bibliotecas com os dados dos clientes
# 2... | 0.214116 | 0.471284 |
import logging
from datetime import timedelta
# Django Imports
from django.core.exceptions import ValidationError
from django.test import TestCase
from django.utils import timezone
# Ghostwriter Libraries
from ghostwriter.api.models import APIKey
from ghostwriter.factories import UserFactory
logging.disable(logging.... | ghostwriter/api/tests/test_models.py | import logging
from datetime import timedelta
# Django Imports
from django.core.exceptions import ValidationError
from django.test import TestCase
from django.utils import timezone
# Ghostwriter Libraries
from ghostwriter.api.models import APIKey
from ghostwriter.factories import UserFactory
logging.disable(logging.... | 0.704058 | 0.185892 |
import os
import mock
from oslotest import base as test_base
from ironic_python_agent import errors
from ironic_python_agent import numa_inspector as numa_insp
from ironic_python_agent import utils
class TestCollectNumaTopologyInfo(test_base.BaseTestCase):
def setUp(self):
super(TestCollectNumaTopology... | ironic_python_agent/tests/unit/test_numa_inspector.py |
import os
import mock
from oslotest import base as test_base
from ironic_python_agent import errors
from ironic_python_agent import numa_inspector as numa_insp
from ironic_python_agent import utils
class TestCollectNumaTopologyInfo(test_base.BaseTestCase):
def setUp(self):
super(TestCollectNumaTopology... | 0.400515 | 0.282005 |
import M2Crypto
import base64
import urllib
from flask import current_app
import hashlib
import urllib2
from sharper.flaskapp.template import decimal_pretty
from bg_biz.service.config_service import ConfigService
from bg_biz.pay.sign.rsa import RSASigner
import json
from sharper.util import encrypt_util
from bg_biz.or... | bg_biz/pay/hiwifipay.py | import M2Crypto
import base64
import urllib
from flask import current_app
import hashlib
import urllib2
from sharper.flaskapp.template import decimal_pretty
from bg_biz.service.config_service import ConfigService
from bg_biz.pay.sign.rsa import RSASigner
import json
from sharper.util import encrypt_util
from bg_biz.or... | 0.196248 | 0.078395 |
from abc import ABCMeta, abstractmethod
from pyalgs.algorithms.graphs.topological_sort import DepthFirstOrder
from pyalgs.data_structures.graphs.graph import EdgeWeightedGraph, Digraph, DirectedEdgeWeightedGraph
class ConnectedComponents(object):
marked = None
_id = None
_count = 0
def __init__(self... | pyalgs/algorithms/graphs/connectivity.py | from abc import ABCMeta, abstractmethod
from pyalgs.algorithms.graphs.topological_sort import DepthFirstOrder
from pyalgs.data_structures.graphs.graph import EdgeWeightedGraph, Digraph, DirectedEdgeWeightedGraph
class ConnectedComponents(object):
marked = None
_id = None
_count = 0
def __init__(self... | 0.835584 | 0.284126 |
import re
import sys
import os
import math
import numpy as np
import pandas as pd
from .fluxmap import fluxMap # For binning the proton list x/y values
def readCarlo(fname, bin_um = 320):
""" Read in and histogram a Carlo's blob.out proton radiography file.
Looks for a file in the same directory which specifie... | pradreader/rdcarlo.py | import re
import sys
import os
import math
import numpy as np
import pandas as pd
from .fluxmap import fluxMap # For binning the proton list x/y values
def readCarlo(fname, bin_um = 320):
""" Read in and histogram a Carlo's blob.out proton radiography file.
Looks for a file in the same directory which specifie... | 0.531696 | 0.547706 |
import numpy as np
from scipy.stats import norm, truncnorm
class TransitionKernel():
'''
A transition kernel on a random variable (or a set of RVs) stores the current value of the RV,
propose() will propose a new RV by setting the value attribute, and return forward and backward transition log probability.
reve... | 7dof_arm_reaching/kernel.py | import numpy as np
from scipy.stats import norm, truncnorm
class TransitionKernel():
'''
A transition kernel on a random variable (or a set of RVs) stores the current value of the RV,
propose() will propose a new RV by setting the value attribute, and return forward and backward transition log probability.
reve... | 0.832747 | 0.667717 |
import time
from copy import deepcopy
import torch
import torch.optim as optim
from Utils.evaluation import evaluation, LOO_print_result, print_final_result
from Utils.loss import relaxed_ranking_loss
from Utils.data_utils import T_annealing
def LOO_IR_RRD_run(opt, model, gpu, optimizer, train_loader, te... | models/Knowledge-Distillation/DE-RRD/run.py | import time
from copy import deepcopy
import torch
import torch.optim as optim
from Utils.evaluation import evaluation, LOO_print_result, print_final_result
from Utils.loss import relaxed_ranking_loss
from Utils.data_utils import T_annealing
def LOO_IR_RRD_run(opt, model, gpu, optimizer, train_loader, te... | 0.465873 | 0.228156 |
import requests
import base64
import re
#_url = 'https://qaq.link/'
#_proxies = {}
#_headers = {}
#_auth = ('<PASSWORD>', '<PASSWORD>')
_url = 'http://wwww.xxxxxx.com'
_proxies = {'http': 'http://127.0.0.1:2081/', 'https': 'http://127.0.0.1:2081/'} # 改代理
_headers = {'Cookie': 'PHPSESSID=fbg7079bj6... | thinkphp5.0.1-automatic-getshell-master/tp_exp.py | import requests
import base64
import re
#_url = 'https://qaq.link/'
#_proxies = {}
#_headers = {}
#_auth = ('<PASSWORD>', '<PASSWORD>')
_url = 'http://wwww.xxxxxx.com'
_proxies = {'http': 'http://127.0.0.1:2081/', 'https': 'http://127.0.0.1:2081/'} # 改代理
_headers = {'Cookie': 'PHPSESSID=fbg7079bj6... | 0.085819 | 0.071624 |
import collections
import os.path
import sys
def find_ancestor_with(relpath, start_path=None):
"""Returns the lowest ancestor of this file that contains |relpath|."""
cur_dir_path = start_path or os.path.abspath(os.path.dirname(__file__))
while True:
if os.path.exists(os.path.join(cur_dir_path, relpath)):
... | mojo/devtools/common/devtoolslib/paths.py | import collections
import os.path
import sys
def find_ancestor_with(relpath, start_path=None):
"""Returns the lowest ancestor of this file that contains |relpath|."""
cur_dir_path = start_path or os.path.abspath(os.path.dirname(__file__))
while True:
if os.path.exists(os.path.join(cur_dir_path, relpath)):
... | 0.524882 | 0.139807 |
import onnx
from onnx import helper
from onnx import AttributeProto, TensorProto, GraphProto, OperatorSetIdProto
from onnx import numpy_helper
import numpy as np
vocab_size=256 #30258
X = helper.make_tensor_value_info('input', TensorProto.FLOAT, ["batch", "seqlen", 128])
unsqueezed_masked_lm_positions = helper.make_t... | onnxruntime/test/testdata/transform/computation_reduction/e2e.py | import onnx
from onnx import helper
from onnx import AttributeProto, TensorProto, GraphProto, OperatorSetIdProto
from onnx import numpy_helper
import numpy as np
vocab_size=256 #30258
X = helper.make_tensor_value_info('input', TensorProto.FLOAT, ["batch", "seqlen", 128])
unsqueezed_masked_lm_positions = helper.make_t... | 0.466603 | 0.528959 |
import os
import sys
import pandas as pd
# Gathers results of all simulations of a single simulation batch
# (10 replicates for each of n coverage level)
# and places into a single summary file
DIRECTORY = sys.argv[1]
PREFIX = sys.argv[2]
WDIR = "/lustre/scratch/npaulat/ESAT"
COVERAGE = DIRECTORY.split("_")[1]
WDI... | simulations/merge_ESAT_flag_stats.py | import os
import sys
import pandas as pd
# Gathers results of all simulations of a single simulation batch
# (10 replicates for each of n coverage level)
# and places into a single summary file
DIRECTORY = sys.argv[1]
PREFIX = sys.argv[2]
WDIR = "/lustre/scratch/npaulat/ESAT"
COVERAGE = DIRECTORY.split("_")[1]
WDI... | 0.106342 | 0.205775 |
import collections
"""Functions for infection rates"""
import tensorflow as tf
import tensorflow_probability as tfp
from tensorflow_probability.python.internal import dtype_util
import numpy as np
from covid.rdata import load_mobility_matrix, load_population, load_age_mixing
from covid.pydata import load_commute_volum... | covid/model_nonflat.py | import collections
"""Functions for infection rates"""
import tensorflow as tf
import tensorflow_probability as tfp
from tensorflow_probability.python.internal import dtype_util
import numpy as np
from covid.rdata import load_mobility_matrix, load_population, load_age_mixing
from covid.pydata import load_commute_volum... | 0.784195 | 0.565659 |
import json
from django.core import mail
from .. import test
from ...acl.test import patch_user_acl
from ...users.test import create_test_user
from ..models import Thread, ThreadParticipant
from ..test import other_user_cant_use_private_threads
from .test_privatethreads import PrivateThreadsTestCase
class PrivateTh... | misago/misago/threads/tests/test_privatethread_patch_api.py | import json
from django.core import mail
from .. import test
from ...acl.test import patch_user_acl
from ...users.test import create_test_user
from ..models import Thread, ThreadParticipant
from ..test import other_user_cant_use_private_threads
from .test_privatethreads import PrivateThreadsTestCase
class PrivateTh... | 0.447943 | 0.200793 |
import argparse
from github_archive import GithubArchive
from github_archive.constants import DEFAULT_LOCATION, DEFAULT_NUM_THREADS, DEFAULT_TIMEOUT
class GithubArchiveCli:
def __init__(self):
parser = argparse.ArgumentParser(
description=(
'A powerful tool to concurrently clo... | github_archive/cli.py | import argparse
from github_archive import GithubArchive
from github_archive.constants import DEFAULT_LOCATION, DEFAULT_NUM_THREADS, DEFAULT_TIMEOUT
class GithubArchiveCli:
def __init__(self):
parser = argparse.ArgumentParser(
description=(
'A powerful tool to concurrently clo... | 0.28577 | 0.090937 |
import logging
import pulpcore.client.pulp_rpm
from pulpcore.client.pulp_rpm.rest import ApiException
from pulp_operations.api_client_conf import rpm_configuration
from pulp_operations.task import wait_for_task_complete
#module logger - child of parent logger 'pulp_operations'
mlogger = logging.getLogger('pulp_operat... | pulp_operations/content.py |
import logging
import pulpcore.client.pulp_rpm
from pulpcore.client.pulp_rpm.rest import ApiException
from pulp_operations.api_client_conf import rpm_configuration
from pulp_operations.task import wait_for_task_complete
#module logger - child of parent logger 'pulp_operations'
mlogger = logging.getLogger('pulp_operat... | 0.651355 | 0.086709 |
import numpy as np
import torch as torch
from torch.utils.data import Dataset
from nuscenes.nuscenes import NuScenes
from nuscenes.utils.geometry_utils import transform_matrix
from nuscenes.utils.data_classes import PointCloud, LidarPointCloud
from pyquaternion import Quaternion
import os.path as osp
from functools imp... | nuscenes_dataset.py | import numpy as np
import torch as torch
from torch.utils.data import Dataset
from nuscenes.nuscenes import NuScenes
from nuscenes.utils.geometry_utils import transform_matrix
from nuscenes.utils.data_classes import PointCloud, LidarPointCloud
from pyquaternion import Quaternion
import os.path as osp
from functools imp... | 0.79546 | 0.449997 |
# parseratproxy function
def parseratproxy(time, os, etree, filetoread, db, dbconnection, projectname, projectid, separator):
import string
ratproxymessages = "xml" + separator + "ratproxymessages.xml"
if os.path.isfile(ratproxymessages):
pass
else:
print "The following file does not exist:", ratproxymes... | src/lib/parsers/parseratproxy.py | # parseratproxy function
def parseratproxy(time, os, etree, filetoread, db, dbconnection, projectname, projectid, separator):
import string
ratproxymessages = "xml" + separator + "ratproxymessages.xml"
if os.path.isfile(ratproxymessages):
pass
else:
print "The following file does not exist:", ratproxymes... | 0.107145 | 0.090374 |
import xml.etree.ElementTree as ET
import numpy as np
def get_bb_of_gt_from_pascal_xml_annotation(xml_name, voc_path):
string = voc_path + '/Annotations/' + xml_name + '.xml'
tree = ET.parse(string)
root = tree.getroot()
names = []
x_min = []
x_max = []
y_min = []
y_max = []
for ch... | scripts/parse_xml_annotations.py | import xml.etree.ElementTree as ET
import numpy as np
def get_bb_of_gt_from_pascal_xml_annotation(xml_name, voc_path):
string = voc_path + '/Annotations/' + xml_name + '.xml'
tree = ET.parse(string)
root = tree.getroot()
names = []
x_min = []
x_max = []
y_min = []
y_max = []
for ch... | 0.225246 | 0.323674 |
import os
from ACSLogging import LOGGER_FWK
from acs.Core.PathManager import Folders
import acs.UtilitiesFWK.Utilities as Util
class CampaignReportTree(object):
"""
CampaignReportTree class gives the access to folder created in _Reports for the current campaign
"""
def __init__(self, campaign_name=... | acs/acs/Core/Report/CampaignReportTree.py | import os
from ACSLogging import LOGGER_FWK
from acs.Core.PathManager import Folders
import acs.UtilitiesFWK.Utilities as Util
class CampaignReportTree(object):
"""
CampaignReportTree class gives the access to folder created in _Reports for the current campaign
"""
def __init__(self, campaign_name=... | 0.651909 | 0.080069 |
import numpy as np
from numpy.random import rand
import copy
import itertools
class Kohonen(object):
def __init__(self, gridWidth, epochs, alphaStart=0.5, alphaEnd=0.001):
self.gridWidth = gridWidth
self.epochs = epochs
self.alphaStart = alphaStart
self.alphaEnd = alphaEnd
... | kohonen.py | import numpy as np
from numpy.random import rand
import copy
import itertools
class Kohonen(object):
def __init__(self, gridWidth, epochs, alphaStart=0.5, alphaEnd=0.001):
self.gridWidth = gridWidth
self.epochs = epochs
self.alphaStart = alphaStart
self.alphaEnd = alphaEnd
... | 0.751192 | 0.51379 |
import itertools
from collections import Counter
# 计算皇家同花顺需要的牌
def find_royal_flush_cards(visible_cards: list):
existing_cards = []
possible_cards = []
# 至少要先能凑成同花
possible_suit = is_flush_possible(visible_cards)
if possible_suit != '':
for card in visible_cards:
if card[0] == ... | MatchFinder.py | import itertools
from collections import Counter
# 计算皇家同花顺需要的牌
def find_royal_flush_cards(visible_cards: list):
existing_cards = []
possible_cards = []
# 至少要先能凑成同花
possible_suit = is_flush_possible(visible_cards)
if possible_suit != '':
for card in visible_cards:
if card[0] == ... | 0.164651 | 0.232093 |
from collections import namedtuple
import datetime
import pymssql
from tqdm import tqdm
import pandas as pd
class DBConnector(object):
def __init__(self, db_name, db_settings={}):
self.db_settings = db_settings
self.db_settings['database'] = db_name
self.db_conn = None
... | utilities/database/db_connector.py | from collections import namedtuple
import datetime
import pymssql
from tqdm import tqdm
import pandas as pd
class DBConnector(object):
def __init__(self, db_name, db_settings={}):
self.db_settings = db_settings
self.db_settings['database'] = db_name
self.db_conn = None
... | 0.420719 | 0.110136 |
import numpy as np
import pandas as pd
import cmasher as cmr
import plotly.express as px
import plotly.graph_objects as go
from scipy.interpolate import RegularGridInterpolator
from scipy.interpolate import CubicSpline
from gofish import imagecube
from matplotlib import cm
from matplotlib.colors import ListedColormap,... | trivia.py | import numpy as np
import pandas as pd
import cmasher as cmr
import plotly.express as px
import plotly.graph_objects as go
from scipy.interpolate import RegularGridInterpolator
from scipy.interpolate import CubicSpline
from gofish import imagecube
from matplotlib import cm
from matplotlib.colors import ListedColormap,... | 0.800224 | 0.480296 |
import inspect
import textwrap
from pyiron.base.job.generic import GenericJob
"""
The GenericMaster is the template class for all meta jobs
"""
__author__ = "<NAME>"
__copyright__ = (
"Copyright 2020, Max-Planck-Institut für Eisenforschung GmbH - "
"Computational Materials Design (CM) Department"
)
__version... | pyiron/base/master/generic.py |
import inspect
import textwrap
from pyiron.base.job.generic import GenericJob
"""
The GenericMaster is the template class for all meta jobs
"""
__author__ = "<NAME>"
__copyright__ = (
"Copyright 2020, Max-Planck-Institut für Eisenforschung GmbH - "
"Computational Materials Design (CM) Department"
)
__version... | 0.814975 | 0.2522 |
import os
from cliar import set_arg_map, set_metavars, set_help, ignore
from pathlib import Path
import webbrowser
from foliant.cli import make
from foliant.cli.base import BaseCli
from foliant.config import Parser
from foliant.utils import spinner
from pydrive.auth import GoogleAuth
from pydrive.drive import Google... | foliant/cli/gupload.py |
import os
from cliar import set_arg_map, set_metavars, set_help, ignore
from pathlib import Path
import webbrowser
from foliant.cli import make
from foliant.cli.base import BaseCli
from foliant.config import Parser
from foliant.utils import spinner
from pydrive.auth import GoogleAuth
from pydrive.drive import Google... | 0.247169 | 0.054049 |
from subprocess import Popen, PIPE
import re
# Inspired by http://alloutput.com/amateur-radio/aprs-notes/
class DWParser:
''' Manage collecting and parsing audio signals with Direwolf '''
def __init__(self):
''' Constructor
Defaults to Direwolf settings for Enhanced Plus mode and 2x sampling,
... | Database/DWParser.py | from subprocess import Popen, PIPE
import re
# Inspired by http://alloutput.com/amateur-radio/aprs-notes/
class DWParser:
''' Manage collecting and parsing audio signals with Direwolf '''
def __init__(self):
''' Constructor
Defaults to Direwolf settings for Enhanced Plus mode and 2x sampling,
... | 0.249264 | 0.18924 |
import json
import datetime
import numpy as np
from nupic.frameworks.opf.model_factory import ModelFactory
from nupic.frameworks.opf.common_models.cluster_params import getScalarMetricWithTimeOfDayAnomalyParams
class stream_anomaly_detect():
"""
stream data anomaly detect for one field.
"""
def __i... | hit-gd-anomaly-detection/src/main/python/HTM/AnomalyDetection/algorithm/streamAnomalyDetect.py |
import json
import datetime
import numpy as np
from nupic.frameworks.opf.model_factory import ModelFactory
from nupic.frameworks.opf.common_models.cluster_params import getScalarMetricWithTimeOfDayAnomalyParams
class stream_anomaly_detect():
"""
stream data anomaly detect for one field.
"""
def __i... | 0.737914 | 0.375621 |