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 |
|---|---|---|---|---|
# pylint:disable=line-too-long
# pyformat: disable
r"""This script runs inference on a T5X-compatible model.
"""
import functools
import json
import os
import re
from typing import Any, Iterator, Sequence, Tuple
from absl import logging
import jax
import jax.numpy as jnp
import seqio
from t5x import models
from t5x ... | t5x/eval_harness.py |
# pylint:disable=line-too-long
# pyformat: disable
r"""This script runs inference on a T5X-compatible model.
"""
import functools
import json
import os
import re
from typing import Any, Iterator, Sequence, Tuple
from absl import logging
import jax
import jax.numpy as jnp
import seqio
from t5x import models
from t5x ... | 0.818447 | 0.237394 |
from flask import request
from assemblyline.datastore import SearchException
from assemblyline_ui.config import STORAGE
from assemblyline_ui.api.base import api_login, make_api_response, make_subapi_blueprint
SUB_API = 'error'
error_api = make_subapi_blueprint(SUB_API, api_version=4)
error_api._doc = "Perform operat... | assemblyline_ui/api/v4/error.py | from flask import request
from assemblyline.datastore import SearchException
from assemblyline_ui.config import STORAGE
from assemblyline_ui.api.base import api_login, make_api_response, make_subapi_blueprint
SUB_API = 'error'
error_api = make_subapi_blueprint(SUB_API, api_version=4)
error_api._doc = "Perform operat... | 0.59561 | 0.109753 |
import unittest
from datetime import datetime, timedelta, tzinfo
from tornado.ioloop import IOLoop
from tornado import testing
from bson import ObjectId
from Mojo.Backends.AsyncmongoBackend.asyncmongo_backend import Session, Collection
from Mojo.ObjectMapper.ModelPrototype import Model
from Mojo.ObjectMapper.Fields im... | Mojo/Backends/AsyncmongoBackend/tests/test_asyncmongobackend.py | import unittest
from datetime import datetime, timedelta, tzinfo
from tornado.ioloop import IOLoop
from tornado import testing
from bson import ObjectId
from Mojo.Backends.AsyncmongoBackend.asyncmongo_backend import Session, Collection
from Mojo.ObjectMapper.ModelPrototype import Model
from Mojo.ObjectMapper.Fields im... | 0.399109 | 0.142739 |
from connio.base import deserialize
from connio.base import serialize
from connio.base import values
from connio.base.instance_context import InstanceContext
from connio.base.instance_resource import InstanceResource
from connio.base.list_resource import ListResource
from connio.base.page import Page
class MethodList(... | build/lib/connio/rest/api/v3/account/method.py | from connio.base import deserialize
from connio.base import serialize
from connio.base import values
from connio.base.instance_context import InstanceContext
from connio.base.instance_resource import InstanceResource
from connio.base.list_resource import ListResource
from connio.base.page import Page
class MethodList(... | 0.78785 | 0.140513 |
from ..utils import bash_iterate, run_on_parallel
from ..logger import Logger
from . import Backend
class Hook(Backend):
def __init__(self, **kwargs):
super(Hook, self).__init__()
self._timeout = kwargs.get('timeout') or 300
self._failing_callbacks = {
'compiling': [],
... | Tools/Builder/core/backend/hook.py | from ..utils import bash_iterate, run_on_parallel
from ..logger import Logger
from . import Backend
class Hook(Backend):
def __init__(self, **kwargs):
super(Hook, self).__init__()
self._timeout = kwargs.get('timeout') or 300
self._failing_callbacks = {
'compiling': [],
... | 0.375248 | 0.077239 |
from flask_security import current_user
from flask_socketio import emit
from sqlalchemy.sql.expression import func
from classes.shared import db, socketio
from classes import Channel
from classes import webhook
from classes import settings
from classes import topics
from classes import RecordedVideo
from functions im... | functions/socketio/webhooks.py | from flask_security import current_user
from flask_socketio import emit
from sqlalchemy.sql.expression import func
from classes.shared import db, socketio
from classes import Channel
from classes import webhook
from classes import settings
from classes import topics
from classes import RecordedVideo
from functions im... | 0.425009 | 0.054752 |
import glob
import re
import mock
import pytest
from dmcontent import ContentLoader
from dmcontent.utils import TemplateField
content = ContentLoader('./')
MANIFEST_QUESTION_SET = {
"display_brief": "briefs",
"edit_brief": "briefs",
"award_brief": "briefs",
"briefs_search_filters": "briefs",
"d... | tests/test_content.py | import glob
import re
import mock
import pytest
from dmcontent import ContentLoader
from dmcontent.utils import TemplateField
content = ContentLoader('./')
MANIFEST_QUESTION_SET = {
"display_brief": "briefs",
"edit_brief": "briefs",
"award_brief": "briefs",
"briefs_search_filters": "briefs",
"d... | 0.522202 | 0.27717 |
import os
import numpy as np
import numpy.testing as np_test
import pandas as pd
import pytest
import torch
from numpy.lib.format import open_memmap
from meerkat import NumpyArrayColumn
from meerkat.block.tensor_block import TensorBlock
from .abstract import AbstractColumnTestBed, TestAbstractColumn
class NumpyArr... | tests/meerkat/columns/test_numpy_column.py | import os
import numpy as np
import numpy.testing as np_test
import pandas as pd
import pytest
import torch
from numpy.lib.format import open_memmap
from meerkat import NumpyArrayColumn
from meerkat.block.tensor_block import TensorBlock
from .abstract import AbstractColumnTestBed, TestAbstractColumn
class NumpyArr... | 0.551091 | 0.539893 |
import pytest
from bootwrap import Table, TableEntity
from .helper import HelperHTMLParser
@pytest.mark.table
def test_table():
table = Table(['A', 'B'], [[1, 2], [3, 4]]).add_classes('someclass')
actual = HelperHTMLParser.parse(str(table))
expected = HelperHTMLParser.parse(f'''
<table id="{tabl... | tests/test_table.py | import pytest
from bootwrap import Table, TableEntity
from .helper import HelperHTMLParser
@pytest.mark.table
def test_table():
table = Table(['A', 'B'], [[1, 2], [3, 4]]).add_classes('someclass')
actual = HelperHTMLParser.parse(str(table))
expected = HelperHTMLParser.parse(f'''
<table id="{tabl... | 0.573559 | 0.670794 |
import math
from unittest import mock
import pytest
from projectq import MainEngine
from projectq.backends._exceptions import (
InvalidCommandError,
MidCircuitMeasurementError,
)
from projectq.backends._ionq import _ionq, _ionq_http_client
from projectq.cengines import DummyEngine
from projectq.ops import (
... | projectq/backends/_ionq/_ionq_test.py | import math
from unittest import mock
import pytest
from projectq import MainEngine
from projectq.backends._exceptions import (
InvalidCommandError,
MidCircuitMeasurementError,
)
from projectq.backends._ionq import _ionq, _ionq_http_client
from projectq.cengines import DummyEngine
from projectq.ops import (
... | 0.68595 | 0.4474 |
from openmm.app import *
from openmm import *
from openmm.unit import *
from sys import stdout
import datetime
import json
statistics = {
'items': []
}
steps = 100000
report_frequency = 1000
inputfile = 'input.pdb'
outputfile = 'output/test.pdb'
"""
This function adds a row to the item array in the statistics... | test.py | from openmm.app import *
from openmm import *
from openmm.unit import *
from sys import stdout
import datetime
import json
statistics = {
'items': []
}
steps = 100000
report_frequency = 1000
inputfile = 'input.pdb'
outputfile = 'output/test.pdb'
"""
This function adds a row to the item array in the statistics... | 0.535827 | 0.42919 |
import os
import glob
import pandas as pd
import xml.etree.ElementTree as ElementTree
class Annotation:
def __init__(self, image_id, filename, path, annotation, database, image, width, height, depth, segmented):
self.image_id = image_id
self.filename = filename
self.path = path
sel... | datasets/voc_simple/pascal_to_csv.py | import os
import glob
import pandas as pd
import xml.etree.ElementTree as ElementTree
class Annotation:
def __init__(self, image_id, filename, path, annotation, database, image, width, height, depth, segmented):
self.image_id = image_id
self.filename = filename
self.path = path
sel... | 0.465145 | 0.100084 |
import multiprocessing
import argparse, operator, os, random, sys, time
import random, subprocess
import glob
workdir = "/share/inspurStorage/home3/ZXMGroup/VIROME/G3compare/RealData/results"
#bin3Cdir = "/home3/ZXMGroup/VIROME/G3compare/RealData/bin3C02"
bin_annotation_script = "/share/inspurStorage/home3/ZXMGroup/VI... | 04bin_annotation.py | import multiprocessing
import argparse, operator, os, random, sys, time
import random, subprocess
import glob
workdir = "/share/inspurStorage/home3/ZXMGroup/VIROME/G3compare/RealData/results"
#bin3Cdir = "/home3/ZXMGroup/VIROME/G3compare/RealData/bin3C02"
bin_annotation_script = "/share/inspurStorage/home3/ZXMGroup/VI... | 0.067064 | 0.053132 |
from services.aadservice import AadService
from models.reportconfig import ReportConfig
from models.embedtoken import EmbedToken
from models.embedconfig import EmbedConfig
from models.embedtokenrequestbody import EmbedTokenRequestBody
from flask import current_app as app, abort
import requests
import json
class PbiEm... | Python/Embed for your customers/AppOwnsData/services/pbiembedservice.py |
from services.aadservice import AadService
from models.reportconfig import ReportConfig
from models.embedtoken import EmbedToken
from models.embedconfig import EmbedConfig
from models.embedtokenrequestbody import EmbedTokenRequestBody
from flask import current_app as app, abort
import requests
import json
class PbiEm... | 0.799951 | 0.124266 |
from bs4 import BeautifulSoup
import requests
import tweepy
import time
CONSUMER_KEY = 'XXX'
CONSUMER_SECRET = 'XXX'
ACCESS_KEY = 'XXX'
ACCESS_SECRET = 'XXX'
auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_access_token(ACCESS_KEY, ACCESS_SECRET)
twitter_API = tweepy.API(auth)
for s... | twitterbot.py | from bs4 import BeautifulSoup
import requests
import tweepy
import time
CONSUMER_KEY = 'XXX'
CONSUMER_SECRET = 'XXX'
ACCESS_KEY = 'XXX'
ACCESS_SECRET = 'XXX'
auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_access_token(ACCESS_KEY, ACCESS_SECRET)
twitter_API = tweepy.API(auth)
for s... | 0.046077 | 0.049589 |
import codecs
from os import path
from sphinx.builders.epub import EpubBuilder
# (Fragment) templates from which the metainfo files content.opf, toc.ncx,
# mimetype, and META-INF/container.xml are created.
# This template section also defines strings that are embedded in the html
# output but that may be customized ... | sphinx/builders/epub3.py | import codecs
from os import path
from sphinx.builders.epub import EpubBuilder
# (Fragment) templates from which the metainfo files content.opf, toc.ncx,
# mimetype, and META-INF/container.xml are created.
# This template section also defines strings that are embedded in the html
# output but that may be customized ... | 0.486088 | 0.09645 |
import cPickle
import ann
import theano
import numpy
from createData import plot_all, plot
from numpy.random import choice
import matplotlib.pyplot as plt
import theano.tensor as T
def load_data(num = None):
data, y = cPickle.load(open('data.dat', 'rb'))
less_xx = 0
if less_xx:
less = min([(y==... | ML/co-evaluate/stage_1.py | import cPickle
import ann
import theano
import numpy
from createData import plot_all, plot
from numpy.random import choice
import matplotlib.pyplot as plt
import theano.tensor as T
def load_data(num = None):
data, y = cPickle.load(open('data.dat', 'rb'))
less_xx = 0
if less_xx:
less = min([(y==... | 0.238462 | 0.444505 |
from collections import namedtuple
from .control import Control
from aisikl.events import selection_event
from aisikl.exceptions import AISParseError
Option = namedtuple('Option', ['title', 'id'])
class RadioBox(Control):
def __init__(self, dialog, id, type, parent_id, properties, element):
super().__in... | aisikl/components/radiobox.py | from collections import namedtuple
from .control import Control
from aisikl.events import selection_event
from aisikl.exceptions import AISParseError
Option = namedtuple('Option', ['title', 'id'])
class RadioBox(Control):
def __init__(self, dialog, id, type, parent_id, properties, element):
super().__in... | 0.778439 | 0.140513 |
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(
... | polls/my_polls/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(
... | 0.552298 | 0.118947 |
from happybase import Connection
import time
import hashlib
class DBManager:
def __init__(self, address, port, predicatesCatalog):
self.address = address
self.port = port
self.predicatesCatalog = predicatesCatalog
self.connection = Connection(self.address, port=self.port)
s... | DB_Manager/DBManager.py | from happybase import Connection
import time
import hashlib
class DBManager:
def __init__(self, address, port, predicatesCatalog):
self.address = address
self.port = port
self.predicatesCatalog = predicatesCatalog
self.connection = Connection(self.address, port=self.port)
s... | 0.30819 | 0.184694 |
import os
import pkg_resources
import warnings
import click
from click import echo
from riptide.config.errors import RiptideDeprecationWarning
from riptide.config.loader import load_projects
from riptide.plugin.loader import load_plugins
from riptide.util import get_riptide_version_raw, SystemFlag
from riptide_cli.c... | riptide_cli/main.py | import os
import pkg_resources
import warnings
import click
from click import echo
from riptide.config.errors import RiptideDeprecationWarning
from riptide.config.loader import load_projects
from riptide.plugin.loader import load_plugins
from riptide.util import get_riptide_version_raw, SystemFlag
from riptide_cli.c... | 0.34632 | 0.065815 |
import tornado.ioloop
import tornado.web
import tornado.websocket
import json
import time
from itertools import cycle
import numpy as np
class Game(object):
def __init__(self):
self.board = np.array([['']*3 for x in range(3)])
self.current_player_cycle = cycle(('x','o'))
self.current_player... | tictactoe.py | import tornado.ioloop
import tornado.web
import tornado.websocket
import json
import time
from itertools import cycle
import numpy as np
class Game(object):
def __init__(self):
self.board = np.array([['']*3 for x in range(3)])
self.current_player_cycle = cycle(('x','o'))
self.current_player... | 0.125293 | 0.126812 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch.nn as nn
class Model(nn.Module):
def __init__(self, obs_space, ac_space, options):
super(Model, self).__init__()
self._build_layers(obs_space, ac_space, options)
def _bui... | python/ray/rllib/models/pytorch/model.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch.nn as nn
class Model(nn.Module):
def __init__(self, obs_space, ac_space, options):
super(Model, self).__init__()
self._build_layers(obs_space, ac_space, options)
def _bui... | 0.956887 | 0.289943 |
import os
import sys
import cv2
from tkinter import *
# Clear CMD
# Commands from sys.argv
count = 0
commands = {}
getType = ""
for argv in sys.argv:
if ".py" not in argv.lower():
if count == 0:
getType = argv.replace("-", "")
count += 1
elif count == 1:... | raspi-camera2.py |
import os
import sys
import cv2
from tkinter import *
# Clear CMD
# Commands from sys.argv
count = 0
commands = {}
getType = ""
for argv in sys.argv:
if ".py" not in argv.lower():
if count == 0:
getType = argv.replace("-", "")
count += 1
elif count == 1:... | 0.197677 | 0.055797 |
import unittest
from setuptools import setup
import versioneer
def basico_testsuite():
test_loader = unittest.TestLoader()
test_suite = test_loader.discover('tests', pattern='test_*.py')
return test_suite
setup(name='basico',
version=versioneer.get_version(),
cmdclass=versioneer.get_cmdclass... | setup.py | import unittest
from setuptools import setup
import versioneer
def basico_testsuite():
test_loader = unittest.TestLoader()
test_suite = test_loader.discover('tests', pattern='test_*.py')
return test_suite
setup(name='basico',
version=versioneer.get_version(),
cmdclass=versioneer.get_cmdclass... | 0.562177 | 0.270051 |
import datetime
from enum import Enum, unique
from typing import Optional
from py_client.aidm.aidm_base_classes import _HasID
from py_client.aidm.aidm_base_classes import _HasDebugString
@unique
class LinkType(Enum):
await_arrival = "awaitArrival"
connection = "connection"
roster = "roster"
... | py_client/aidm/aidm_link_classes.py | import datetime
from enum import Enum, unique
from typing import Optional
from py_client.aidm.aidm_base_classes import _HasID
from py_client.aidm.aidm_base_classes import _HasDebugString
@unique
class LinkType(Enum):
await_arrival = "awaitArrival"
connection = "connection"
roster = "roster"
... | 0.806891 | 0.075995 |
import graphene
import pytest
from tests.api.utils import get_graphql_content
from remote_works.graphql.translations.schema import TranslatableKinds
def test_skill_translation(user_api_client, product):
product.translations.create(language_code='pl', name='Produkt')
query = """
query productById($produc... | tests/api/test_translations.py | import graphene
import pytest
from tests.api.utils import get_graphql_content
from remote_works.graphql.translations.schema import TranslatableKinds
def test_skill_translation(user_api_client, product):
product.translations.create(language_code='pl', name='Produkt')
query = """
query productById($produc... | 0.550849 | 0.300168 |
from __future__ import annotations
from argparse import Namespace
from configparser import ConfigParser, SectionProxy
from getpass import getpass
from logging import getLogger
from os import getenv, name
from pathlib import Path
from sys import exit # pylint: disable=W0622
from typing import Iterable, NamedTuple, O... | venv/Lib/site-packages/rcon/config.py |
from __future__ import annotations
from argparse import Namespace
from configparser import ConfigParser, SectionProxy
from getpass import getpass
from logging import getLogger
from os import getenv, name
from pathlib import Path
from sys import exit # pylint: disable=W0622
from typing import Iterable, NamedTuple, O... | 0.641984 | 0.105395 |
import uuid
from msrest.pipeline import ClientRawResponse
from msrest.polling import LROPoller, NoPolling
from msrestazure.polling.arm_polling import ARMPolling
from .. import models
class PowerShellOperations(object):
"""PowerShellOperations operations.
:param client: Client for service requests.
:par... | sdk/servermanager/azure-mgmt-servermanager/azure/mgmt/servermanager/operations/power_shell_operations.py |
import uuid
from msrest.pipeline import ClientRawResponse
from msrest.polling import LROPoller, NoPolling
from msrestazure.polling.arm_polling import ARMPolling
from .. import models
class PowerShellOperations(object):
"""PowerShellOperations operations.
:param client: Client for service requests.
:par... | 0.798619 | 0.094427 |
import sys
import re
import os
import pickle
import numpy as np
import pandas as pd
from sqlalchemy import create_engine
# Tokenization and Lemmatization
import nltk
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
from nltk.stem.wordnet import WordNetLemmatizer
nltk.download(['punkt', 'wordne... | models/train_classifier.py | import sys
import re
import os
import pickle
import numpy as np
import pandas as pd
from sqlalchemy import create_engine
# Tokenization and Lemmatization
import nltk
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
from nltk.stem.wordnet import WordNetLemmatizer
nltk.download(['punkt', 'wordne... | 0.594316 | 0.448668 |
import django_filters
from crispy_forms.helper import FormHelper
from crispy_forms.layout import ButtonHolder, Fieldset, Layout, Submit
from django import forms
from .models import CAR_BODY, CAR_DOOR, CAR_MAKE, AutoSearch # , Stock, Year
CAR_STOCK = (
("used", "used"),
("new", "new"),
("certified", "cert... | autobuyfast/cars/filters.py | import django_filters
from crispy_forms.helper import FormHelper
from crispy_forms.layout import ButtonHolder, Fieldset, Layout, Submit
from django import forms
from .models import CAR_BODY, CAR_DOOR, CAR_MAKE, AutoSearch # , Stock, Year
CAR_STOCK = (
("used", "used"),
("new", "new"),
("certified", "cert... | 0.438785 | 0.245876 |
# Form implementation generated from reading ui file 'calc.ui'
#
# Created by: PyQt5 UI code generator 5.15.6
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore, QtGui, QtWidgets
... | calc.py |
# Form implementation generated from reading ui file 'calc.ui'
#
# Created by: PyQt5 UI code generator 5.15.6
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore, QtGui, QtWidgets
... | 0.393851 | 0.062445 |
import glob
import re
import ntpath
class Converter:
def __init__(self, dir_path):
self.entries = {}
files = glob.glob("{}/*.dat".format(dir_path))
for filename in files:
entries = []
fh = open(filename, 'r')
name = ""
for line in fh:
... | utils/lexbor/html/convert_html5_tests.py | import glob
import re
import ntpath
class Converter:
def __init__(self, dir_path):
self.entries = {}
files = glob.glob("{}/*.dat".format(dir_path))
for filename in files:
entries = []
fh = open(filename, 'r')
name = ""
for line in fh:
... | 0.18188 | 0.166269 |
# Copyright (c) 2016 by University of Kassel and Fraunhofer Institute for Wind Energy and Energy
# System Technology (IWES), Kassel. All rights reserved. Use of this source code is governed by a
# BSD-style license that can be found in the LICENSE file.
import pytest
import pandas as pd
import numpy as np
import pa... | pandapower/test/test_runpp.py |
# Copyright (c) 2016 by University of Kassel and Fraunhofer Institute for Wind Energy and Energy
# System Technology (IWES), Kassel. All rights reserved. Use of this source code is governed by a
# BSD-style license that can be found in the LICENSE file.
import pytest
import pandas as pd
import numpy as np
import pa... | 0.458712 | 0.403449 |
import copy
import json
import arango
from orca.common import utils
from orca.graph import graph
from orca.graph.drivers import driver
class ArangoDBDriver(driver.Driver):
"""Arango Graph DB client."""
def __init__(self, host, port, database, username=None, password=<PASSWORD>):
super().__init__(... | orca/graph/drivers/arangodb.py |
import copy
import json
import arango
from orca.common import utils
from orca.graph import graph
from orca.graph.drivers import driver
class ArangoDBDriver(driver.Driver):
"""Arango Graph DB client."""
def __init__(self, host, port, database, username=None, password=<PASSWORD>):
super().__init__(... | 0.558809 | 0.066448 |
from feelingtweets.utils.writter import FileWritter
from pandas.core.frame import DataFrame
from feelingtweets.utils.config import Config
from googletrans import Translator
import pandas as pd
class Traductor:
__config: Config
__writter: FileWritter
__translator: Translator
__TRADUCED_COLUMNS = ["orig... | feelingtweets/traductor/traductor.py | from feelingtweets.utils.writter import FileWritter
from pandas.core.frame import DataFrame
from feelingtweets.utils.config import Config
from googletrans import Translator
import pandas as pd
class Traductor:
__config: Config
__writter: FileWritter
__translator: Translator
__TRADUCED_COLUMNS = ["orig... | 0.351979 | 0.159643 |
import unittest
from audioop import reverse
from collections import defaultdict
from urh.awre.CommonRange import CommonRange
from urh.awre.FormatFinder import FormatFinder
from urh.awre.components.Address import Address
from urh.awre.components.Component import Component
from urh.awre.components.Flags import Flags
fro... | tests/test_awre.py | import unittest
from audioop import reverse
from collections import defaultdict
from urh.awre.CommonRange import CommonRange
from urh.awre.FormatFinder import FormatFinder
from urh.awre.components.Address import Address
from urh.awre.components.Component import Component
from urh.awre.components.Flags import Flags
fro... | 0.609059 | 0.33546 |
import re
from datetime import datetime
from .object import Object
from .utils import df_military_time, day_of_week
from .enum import FileCriteria, BooleanFunction, Application, ScheduleType
class PolicyRule:
def __init__(self, assignment, criteria):
self.assignment = assignment
self.criteria = ... | cterasdk/common/types.py | import re
from datetime import datetime
from .object import Object
from .utils import df_military_time, day_of_week
from .enum import FileCriteria, BooleanFunction, Application, ScheduleType
class PolicyRule:
def __init__(self, assignment, criteria):
self.assignment = assignment
self.criteria = ... | 0.712132 | 0.21892 |
import pandas as pd
import os
if not os.path.exists("./scripts/plots_tables/csvs/processed_csvs/"):
os.makedirs("./scripts/plots_tables/csvs/processed_csvs/")
csv_folder = './scripts/plots_tables/csvs/'
out_csv_folder = './scripts/plots_tables/csvs/processed_csvs/'
def filter_table(data_table, metric_cols, all_g... | scripts/plots_tables/csvs/parse_csv.py | import pandas as pd
import os
if not os.path.exists("./scripts/plots_tables/csvs/processed_csvs/"):
os.makedirs("./scripts/plots_tables/csvs/processed_csvs/")
csv_folder = './scripts/plots_tables/csvs/'
out_csv_folder = './scripts/plots_tables/csvs/processed_csvs/'
def filter_table(data_table, metric_cols, all_g... | 0.447219 | 0.319334 |
from __future__ import print_function
import os
import argparse
import sys
import json
import _pickle as cPickle
import numpy as np
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from dataset import Dictionary
from utils import get_sent_data
def parse_args():
parser = argparse.Argume... | BAN_vqa/kairos/create_dictionary.py | from __future__ import print_function
import os
import argparse
import sys
import json
import _pickle as cPickle
import numpy as np
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from dataset import Dictionary
from utils import get_sent_data
def parse_args():
parser = argparse.Argume... | 0.229708 | 0.127354 |
import keyboard as keyboard
import numpy
import cv2
import torch.backends.cudnn as cudnn
from PIL import Image, ImageDraw, ImageFont
from SSD.utils import *
from torchvision import transforms
def detect(original_image, min_score, max_overlap, top_k, model, suppress=None):
"""
Detect objects in an image with a... | SSD/detect.py | import keyboard as keyboard
import numpy
import cv2
import torch.backends.cudnn as cudnn
from PIL import Image, ImageDraw, ImageFont
from SSD.utils import *
from torchvision import transforms
def detect(original_image, min_score, max_overlap, top_k, model, suppress=None):
"""
Detect objects in an image with a... | 0.80406 | 0.518912 |
from sklearn.model_selection import train_test_split
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.optimizers import RMSprop, Adam, Adadelta
from keras.layers.convolutional import Convolution2D
from imutils import paths
import matplotlib.pyplot as plt
i... | old/train.py | from sklearn.model_selection import train_test_split
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.optimizers import RMSprop, Adam, Adadelta
from keras.layers.convolutional import Convolution2D
from imutils import paths
import matplotlib.pyplot as plt
i... | 0.78083 | 0.313223 |
from random import randint, uniform
import numpy as np
import pathos.multiprocessing as mp
# Weighted choice function - each choice has a corresponding weight
def weighted_choice(choices, weights):
normalized_weights = np.array([weight for weight in weights]) / np.sum(weights)
threshold = uniform(0, 1)
to... | fmga/fmga/function_maximize.py | from random import randint, uniform
import numpy as np
import pathos.multiprocessing as mp
# Weighted choice function - each choice has a corresponding weight
def weighted_choice(choices, weights):
normalized_weights = np.array([weight for weight in weights]) / np.sum(weights)
threshold = uniform(0, 1)
to... | 0.811003 | 0.467818 |
import numpy as np
from PIL import Image
import torchvision
import torch
def get_length(svhn_base_dataset):
count = 0
for img,label in svhn_base_dataset:
#print(type(label))
#exit()
count+=1
return count
class TransformTwice:
def __init__(self, transform):
self.trans... | dataset/cifar10.py | import numpy as np
from PIL import Image
import torchvision
import torch
def get_length(svhn_base_dataset):
count = 0
for img,label in svhn_base_dataset:
#print(type(label))
#exit()
count+=1
return count
class TransformTwice:
def __init__(self, transform):
self.trans... | 0.259638 | 0.233575 |
import json
import sys
from pathlib import Path
from typing import Optional, Dict, Any, List
from OpenSSL import crypto
from cryptography import x509
from cryptography.x509.oid import NameOID
from jwcrypto import jwk, jws
__author__ = 'lundberg'
METADATA = Path('./fido_alliance_mds.jwt')
ROOT_CERT = Path('./globals... | scripts/update_metadata.py | import json
import sys
from pathlib import Path
from typing import Optional, Dict, Any, List
from OpenSSL import crypto
from cryptography import x509
from cryptography.x509.oid import NameOID
from jwcrypto import jwk, jws
__author__ = 'lundberg'
METADATA = Path('./fido_alliance_mds.jwt')
ROOT_CERT = Path('./globals... | 0.519765 | 0.177597 |
import wx
import win32con
from ctypes import *
import sys
# Structure passed to CreateSolidBrush function
# Represents RGB
class COLORREF(Structure):
_fields_ = [
("byRed", c_byte),
("byGreen", c_byte),
("byBlue", c_byte)
]
# Menu structure used in calls to SetMenuInfo
class MENUINFO(Structure):
... | recipes/Python/440507_Changing_background_color_menu_bar/recipe-440507.py |
import wx
import win32con
from ctypes import *
import sys
# Structure passed to CreateSolidBrush function
# Represents RGB
class COLORREF(Structure):
_fields_ = [
("byRed", c_byte),
("byGreen", c_byte),
("byBlue", c_byte)
]
# Menu structure used in calls to SetMenuInfo
class MENUINFO(Structure):
... | 0.397821 | 0.109706 |
from dataclasses import dataclass, field
from typing import List
from random import sample, shuffle
# pip install prototools
from prototools import tabulate, textbox
from prototools.colorize import cyan, green, red, yellow
from . import RANGOS, INDEX
from .models import Usuario, Numero
from .utils import clear
class... | CLI/Bingo/bingo/bingo.py | from dataclasses import dataclass, field
from typing import List
from random import sample, shuffle
# pip install prototools
from prototools import tabulate, textbox
from prototools.colorize import cyan, green, red, yellow
from . import RANGOS, INDEX
from .models import Usuario, Numero
from .utils import clear
class... | 0.775605 | 0.278678 |
# coding: utf-8
from __future__ import absolute_import, division, print_function
import sys
import time
STREAM = sys.stderr
BAR_TEMPLATE = "%s[%s%s] %i/%i - %s\r"
MILL_TEMPLATE = "%s %s %i/%i\r"
DOTS_CHAR = "."
BAR_FILLED_CHAR = "#"
BAR_EMPTY_CHAR = " "
MILL_CHARS = ["|", "/", "-", "\\"]
# How long to wait before... | cli/polyaxon/client/transport/utils.py |
# coding: utf-8
from __future__ import absolute_import, division, print_function
import sys
import time
STREAM = sys.stderr
BAR_TEMPLATE = "%s[%s%s] %i/%i - %s\r"
MILL_TEMPLATE = "%s %s %i/%i\r"
DOTS_CHAR = "."
BAR_FILLED_CHAR = "#"
BAR_EMPTY_CHAR = " "
MILL_CHARS = ["|", "/", "-", "\\"]
# How long to wait before... | 0.44071 | 0.161849 |
import torch
from pytorchxai.xai.utils import convert_to_grayscale, normalize_gradient
class VanillaBackprop:
def __init__(self, model):
self.model = model
self.gradients = None
self.model.eval()
self._hook_layers()
def _hook_layers(self):
def hook_function(module, g... | src/pytorchxai/xai/gradient_vanilla_backprop.py | import torch
from pytorchxai.xai.utils import convert_to_grayscale, normalize_gradient
class VanillaBackprop:
def __init__(self, model):
self.model = model
self.gradients = None
self.model.eval()
self._hook_layers()
def _hook_layers(self):
def hook_function(module, g... | 0.919494 | 0.513485 |
from ..base import (TraitedSpec, File, traits, InputMultiPath,
isdefined)
from ...utils.filemanip import split_filename
from .base import ANTSCommand, ANTSCommandInputSpec
import os
class ApplyTransformsInputSpec(ANTSCommandInputSpec):
dimension = traits.Enum(3, 2, argstr='--dimensionality %d'... | nipype/interfaces/ants/utils.py | from ..base import (TraitedSpec, File, traits, InputMultiPath,
isdefined)
from ...utils.filemanip import split_filename
from .base import ANTSCommand, ANTSCommandInputSpec
import os
class ApplyTransformsInputSpec(ANTSCommandInputSpec):
dimension = traits.Enum(3, 2, argstr='--dimensionality %d'... | 0.777764 | 0.259829 |
import re
import six
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class Counter:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
... | huaweicloud-sdk-cdm/huaweicloudsdkcdm/v1/model/counter.py |
import re
import six
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class Counter:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
... | 0.557002 | 0.205396 |
import json
import subprocess
from typing import Dict
import requests
from databricks_cli.configure.provider import DatabricksConfig
import logging
logger = logging.getLogger(__name__)
def get_acls(cluster_id: str, base_config: DatabricksConfig) -> Dict[str, str]:
"""Get the list of acls for the supplied clust... | dbricks_setup/utils/cluster/_acl.py | import json
import subprocess
from typing import Dict
import requests
from databricks_cli.configure.provider import DatabricksConfig
import logging
logger = logging.getLogger(__name__)
def get_acls(cluster_id: str, base_config: DatabricksConfig) -> Dict[str, str]:
"""Get the list of acls for the supplied clust... | 0.795062 | 0.152253 |
from __future__ import absolute_import, division, print_function
import json
import os
import shutil
import tempfile
import unittest
from datetime import date
from afdo_tools.bisection import afdo_prof_analysis as analysis
class ObjectWithFields(object):
"""Turns kwargs given to the constructor into fields on an ... | afdo_tools/bisection/afdo_prof_analysis_e2e_test.py | from __future__ import absolute_import, division, print_function
import json
import os
import shutil
import tempfile
import unittest
from datetime import date
from afdo_tools.bisection import afdo_prof_analysis as analysis
class ObjectWithFields(object):
"""Turns kwargs given to the constructor into fields on an ... | 0.650911 | 0.393327 |
from fred.utils import NamespacedClient, query_params
from fred.helpers import _get_request
class CategoriesClient(NamespacedClient):
"""
Class for working with FRED categories
"""
@query_params()
def details(self,category_id=None,response_type=None,params=None):
"""
Function to req... | fred/clients/categories.py | from fred.utils import NamespacedClient, query_params
from fred.helpers import _get_request
class CategoriesClient(NamespacedClient):
"""
Class for working with FRED categories
"""
@query_params()
def details(self,category_id=None,response_type=None,params=None):
"""
Function to req... | 0.843122 | 0.248956 |
class Node(object):
def __init__(self, data = None):
self.parent = None
self.left = None
self.right = None
self.data = data
@staticmethod
def at_left(parent, child):
return True if parent.left is child else False
@staticmethod
def has_left(node):
return True if node.left else False
@staticmethod
d... | binary_search_tree.py | class Node(object):
def __init__(self, data = None):
self.parent = None
self.left = None
self.right = None
self.data = data
@staticmethod
def at_left(parent, child):
return True if parent.left is child else False
@staticmethod
def has_left(node):
return True if node.left else False
@staticmethod
d... | 0.674908 | 0.363788 |
from __future__ import annotations
import os
from typing import Any
from pants.backend.helm.resolve.remotes import HelmRemotes
from pants.backend.helm.target_types import HelmChartTarget, HelmRegistriesField
from pants.core.util_rules.external_tool import TemplatedExternalTool
from pants.engine.platform import Platf... | src/python/pants/backend/helm/subsystems/helm.py |
from __future__ import annotations
import os
from typing import Any
from pants.backend.helm.resolve.remotes import HelmRemotes
from pants.backend.helm.target_types import HelmChartTarget, HelmRegistriesField
from pants.core.util_rules.external_tool import TemplatedExternalTool
from pants.engine.platform import Platf... | 0.874854 | 0.240306 |
from PyQt5.Qt import QMenu
from PyQt5.Qt import pyqtSignal
from PyQt5.Qt import Qt
from PyQt5.Qt import QAction
from PyQt5.QtWidgets import QApplication
class Menu(QMenu):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self._closeOnMiddleClick = False
self.clearActio... | mc/tools/EnhancedMenu.py | from PyQt5.Qt import QMenu
from PyQt5.Qt import pyqtSignal
from PyQt5.Qt import Qt
from PyQt5.Qt import QAction
from PyQt5.QtWidgets import QApplication
class Menu(QMenu):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self._closeOnMiddleClick = False
self.clearActio... | 0.351422 | 0.075075 |
from typing import Dict
from typing import List
from typing import Union
from datetime import datetime
from fred.session import FredSession
# Used for type hinting
todays_date = datetime.today().date().isoformat()
class Tags():
"""
## Overview:
----
FRED tags are attributes assigned to series. Relat... | fred/tags.py | from typing import Dict
from typing import List
from typing import Union
from datetime import datetime
from fred.session import FredSession
# Used for type hinting
todays_date = datetime.today().date().isoformat()
class Tags():
"""
## Overview:
----
FRED tags are attributes assigned to series. Relat... | 0.939088 | 0.387806 |
import numpy as np
from pyproj import Geod
import logging
logger = logging.getLogger(__name__)
geodesic = Geod(ellps='WGS84') #define the coordinate system. WGS84 is the standard used by GPS.
def reckon(origin_lon, origin_lat, forward_azimuth, distance):
"""
Calculate lon, lat of a point from a specified azi... | hfradarpy/calc.py | import numpy as np
from pyproj import Geod
import logging
logger = logging.getLogger(__name__)
geodesic = Geod(ellps='WGS84') #define the coordinate system. WGS84 is the standard used by GPS.
def reckon(origin_lon, origin_lat, forward_azimuth, distance):
"""
Calculate lon, lat of a point from a specified azi... | 0.933826 | 0.812049 |
# Top-level PyTorch training script.
import os
import sling
import sling.flags as flags
from sling.myelin.flow import Flow
import sys
import torch
from functools import partial
sys.path.insert(0, "sling/nlp/parser/trainer")
import commons_from_corpora as commons_builder
from corpora import Corpora
from pytorch_modul... | sling/nlp/parser/tools/train_pytorch.py |
# Top-level PyTorch training script.
import os
import sling
import sling.flags as flags
from sling.myelin.flow import Flow
import sys
import torch
from functools import partial
sys.path.insert(0, "sling/nlp/parser/trainer")
import commons_from_corpora as commons_builder
from corpora import Corpora
from pytorch_modul... | 0.398406 | 0.168446 |
import csv
from pathlib import Path
from emoji import emojize
from typing import Any
from typing import Union
from typing import Iterator
from typing import Tuple
from .page import Page
from .element.core import Element
from .element.core import InputElement
from .element.display import Label
def icon(name: str, ml: ... | src/alfred3/util.py | import csv
from pathlib import Path
from emoji import emojize
from typing import Any
from typing import Union
from typing import Iterator
from typing import Tuple
from .page import Page
from .element.core import Element
from .element.core import InputElement
from .element.display import Label
def icon(name: str, ml: ... | 0.854975 | 0.53522 |
from typing import Callable
from aoc21 import utils
import numpy as np
def gamma_and_epsilon(array: np.ndarray) -> tuple[int, int]:
"""Calculate gamma and epsilon for a submarine diagnostic report."""
if len(array) == 0:
raise ValueError("Empty array")
diff = np.sum(array == 1, axis=0) - np.sum(a... | aoc21/p03.py | from typing import Callable
from aoc21 import utils
import numpy as np
def gamma_and_epsilon(array: np.ndarray) -> tuple[int, int]:
"""Calculate gamma and epsilon for a submarine diagnostic report."""
if len(array) == 0:
raise ValueError("Empty array")
diff = np.sum(array == 1, axis=0) - np.sum(a... | 0.90443 | 0.760362 |
import tensorflow as tf
import CreateDataset
import os
from os import listdir
from os.path import isfile, join
import sys
def weight_variable(shape, n):
initial = tf.truncated_normal(shape, stddev=0.1)
return tf.Variable(initial, name=n)
def bias_variable(shape, n):
initial = tf.constant(0.1, shape=shape)
... | ConvolutionalNeuralNetwork.py | import tensorflow as tf
import CreateDataset
import os
from os import listdir
from os.path import isfile, join
import sys
def weight_variable(shape, n):
initial = tf.truncated_normal(shape, stddev=0.1)
return tf.Variable(initial, name=n)
def bias_variable(shape, n):
initial = tf.constant(0.1, shape=shape)
... | 0.638948 | 0.321041 |
from typing import Optional
from kfp.v2 import compiler, dsl
from kfp.v2.dsl import component
@component
def args_generator_op() -> list:
return [
{
'A_a': '1',
'B_b': ['2', '20'],
},
{
'A_a': '10',
'B_b': ['22', '222'],
},
]
... | sdk/python/kfp/v2/compiler_cli_tests/test_data/pipeline_with_loops_and_conditions.py |
from typing import Optional
from kfp.v2 import compiler, dsl
from kfp.v2.dsl import component
@component
def args_generator_op() -> list:
return [
{
'A_a': '1',
'B_b': ['2', '20'],
},
{
'A_a': '10',
'B_b': ['22', '222'],
},
]
... | 0.842021 | 0.410047 |
import bpy
class ahs_tapercurve_mirror(bpy.types.Operator):
bl_idname = 'object.ahs_tapercurve_mirror'
bl_label = "ミラー"
bl_description = "テーパー/ベベルの形状を左右/上下反転"
bl_options = {'REGISTER', 'UNDO'}
items = [
('TAPER', "テーパー", "", 'CURVE_NCURVE', 1),
('BEVEL', "ベベル", "", 'SURFACE_NCIRCL... | lib/tapercurve_mirror.py | import bpy
class ahs_tapercurve_mirror(bpy.types.Operator):
bl_idname = 'object.ahs_tapercurve_mirror'
bl_label = "ミラー"
bl_description = "テーパー/ベベルの形状を左右/上下反転"
bl_options = {'REGISTER', 'UNDO'}
items = [
('TAPER', "テーパー", "", 'CURVE_NCURVE', 1),
('BEVEL', "ベベル", "", 'SURFACE_NCIRCL... | 0.466359 | 0.318697 |
# somewhat hacky and I forget what this is solving
import socket
origGetAddrInfo = socket.getaddrinfo
def getAddrInfoWrapper(host, port, _=0, socktype=0, proto=0, flags=0):
return origGetAddrInfo(host, port, socket.AF_INET, socktype, proto, flags)
socket.getaddrinfo = getAddrInfoWrapper
from urllib import urle... | Utils/WebUtils.py |
# somewhat hacky and I forget what this is solving
import socket
origGetAddrInfo = socket.getaddrinfo
def getAddrInfoWrapper(host, port, _=0, socktype=0, proto=0, flags=0):
return origGetAddrInfo(host, port, socket.AF_INET, socktype, proto, flags)
socket.getaddrinfo = getAddrInfoWrapper
from urllib import urle... | 0.477798 | 0.113678 |
import os
import time
from pyelixys.logs import hallog as log
from pyelixys.hal.hal import SynthesizerHAL
from pyelixys.hal.systemobject import SystemObject
from pyelixys.hal.f18 import F18
from pyelixys.hal.reactor import Reactor
from pyelixys.hal.reagentrobot import ReagentRobot
from pyelixys.hal.pressureregulator i... | pyelixys/hal/system.py | import os
import time
from pyelixys.logs import hallog as log
from pyelixys.hal.hal import SynthesizerHAL
from pyelixys.hal.systemobject import SystemObject
from pyelixys.hal.f18 import F18
from pyelixys.hal.reactor import Reactor
from pyelixys.hal.reagentrobot import ReagentRobot
from pyelixys.hal.pressureregulator i... | 0.420719 | 0.204243 |
import atexit
import dill
import dis
import functools
import inspect
import sys
from .film import Film
from .util import is_progshot_frame
class TraceFunc:
def __init__(self, capture, depth, outer=0, curr_depth=0):
self.depth = depth
self.curr_depth = curr_depth
self.outer = outer
... | src/progshot/progshot.py |
import atexit
import dill
import dis
import functools
import inspect
import sys
from .film import Film
from .util import is_progshot_frame
class TraceFunc:
def __init__(self, capture, depth, outer=0, curr_depth=0):
self.depth = depth
self.curr_depth = curr_depth
self.outer = outer
... | 0.393269 | 0.11088 |
from math import ceil
from numba import cuda
import numpy as np
# Read in input - create a 2D boolean array for the boarding passes
# False represents front / left, True is back / right.
with open('input') as f:
lines = [line.strip() for line in f.readlines()]
shape = len(lines), len(lines[0])
passes = np.zero... | day05/solution.py |
from math import ceil
from numba import cuda
import numpy as np
# Read in input - create a 2D boolean array for the boarding passes
# False represents front / left, True is back / right.
with open('input') as f:
lines = [line.strip() for line in f.readlines()]
shape = len(lines), len(lines[0])
passes = np.zero... | 0.75183 | 0.472075 |
import sys
from telethon.utils import get_peer_id
from AyiinXd import BOT_TOKEN
from AyiinXd import BOT_VER as version
from AyiinXd import (
DEFAULT,
DEVS,
LOGS,
LOOP,
AYIIN2,
AYIIN3,
AYIIN4,
AYIIN5,
AYIIN6,
AYIIN7,
AYIIN8,
AYIIN9,
AYIIN10,
STRING_2,
STRING... | AyiinXd/clients/startup.py |
import sys
from telethon.utils import get_peer_id
from AyiinXd import BOT_TOKEN
from AyiinXd import BOT_VER as version
from AyiinXd import (
DEFAULT,
DEVS,
LOGS,
LOOP,
AYIIN2,
AYIIN3,
AYIIN4,
AYIIN5,
AYIIN6,
AYIIN7,
AYIIN8,
AYIIN9,
AYIIN10,
STRING_2,
STRING... | 0.100544 | 0.052134 |
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('climatemodels', '0020_auto_20160426_1306'),
]
operations = [
migrations.AlterField... | isi_mip/climatemodels/migrations/0021_auto_20160503_2054.py | from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('climatemodels', '0020_auto_20160426_1306'),
]
operations = [
migrations.AlterField... | 0.673621 | 0.142024 |
import time
from . import base_reader
import board
import busio
import adafruit_ads1x15.ads1015 as ADS
from adafruit_ads1x15.ads1x15 import Mode
from adafruit_ads1x15.analog_in import AnalogIn
import numpy as np
SAMPLES = 500 # samples per channel to calculate RMS
RATE = 3300 # samples/second, fastest rate availab... | readers/rms_6ch.py | import time
from . import base_reader
import board
import busio
import adafruit_ads1x15.ads1015 as ADS
from adafruit_ads1x15.ads1x15 import Mode
from adafruit_ads1x15.analog_in import AnalogIn
import numpy as np
SAMPLES = 500 # samples per channel to calculate RMS
RATE = 3300 # samples/second, fastest rate availab... | 0.457864 | 0.195594 |
from selvbetjening.core.events.models.options import AutoSelectChoiceOption, DiscountOption
from selvbetjening.core.events.options.widgets import BooleanWidget, TextWidget, ChoiceWidget, AutoSelectBooleanWidget, AutoSelectChoiceWidget, DiscountWidget
from selvbetjening.core.events.options.scope import SCOPE
from selvbe... | selvbetjening/core/events/options/typemanager.py | from selvbetjening.core.events.models.options import AutoSelectChoiceOption, DiscountOption
from selvbetjening.core.events.options.widgets import BooleanWidget, TextWidget, ChoiceWidget, AutoSelectBooleanWidget, AutoSelectChoiceWidget, DiscountWidget
from selvbetjening.core.events.options.scope import SCOPE
from selvbe... | 0.589007 | 0.101634 |
import os
import h5py
import numpy as np
import torch
from torch.utils.data import Dataset
class GUISingleSequenceDataset(Dataset):
def __init__(self, root_dir: str, sequence_length: int, vae_preprocessed_data_path: str, hdf5_data_group_path: str,
actions_transformation_function=None, rewards_t... | data/dataset_implementations/rnn/single_sequence_dataset.py | import os
import h5py
import numpy as np
import torch
from torch.utils.data import Dataset
class GUISingleSequenceDataset(Dataset):
def __init__(self, root_dir: str, sequence_length: int, vae_preprocessed_data_path: str, hdf5_data_group_path: str,
actions_transformation_function=None, rewards_t... | 0.727007 | 0.387893 |
import pymia.config.configuration as cfg
import pymia.deeplearning.config as dlcfg
# Some configuration variables, which most likely do not change.
# Therefore, they are not added to the Configuration class
NO_CLASSES = 2 # number of classes for the segmentation task
FOREGROUND_NAME = 'Nerve'
class ImageInformati... | pc/configuration/config.py | import pymia.config.configuration as cfg
import pymia.deeplearning.config as dlcfg
# Some configuration variables, which most likely do not change.
# Therefore, they are not added to the Configuration class
NO_CLASSES = 2 # number of classes for the segmentation task
FOREGROUND_NAME = 'Nerve'
class ImageInformati... | 0.865267 | 0.389547 |
def valid_index(field: list, row: int, col: int):
return row in range(len(field)) and col in range(len(field))
def move_command(field: list, direction: str, steps: int, row: int, col: int):
current_row, current_col = row, col
if direction == "up":
current_row = row - steps
elif direction == "d... | 03-Multidimensional-lists/range_day.py | def valid_index(field: list, row: int, col: int):
return row in range(len(field)) and col in range(len(field))
def move_command(field: list, direction: str, steps: int, row: int, col: int):
current_row, current_col = row, col
if direction == "up":
current_row = row - steps
elif direction == "d... | 0.472927 | 0.507507 |
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' #tensorflow logging disabled
os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = 'true'
import argparse
import numpy as np
import tensorflow as tf
import rospy
from ur_openai.common import load_environment, log_ros_params, clear_gym_params, load_ros_params
from tf2rl.algos.sa... | ur_rl/scripts/evaluate_policy.py | import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' #tensorflow logging disabled
os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = 'true'
import argparse
import numpy as np
import tensorflow as tf
import rospy
from ur_openai.common import load_environment, log_ros_params, clear_gym_params, load_ros_params
from tf2rl.algos.sa... | 0.328745 | 0.300951 |
ERR_NOT_A_REPO = "Not a git repository"
ERR_NO_COMMITS = "Repository doesn't have any commits"
ERR_NO_SCRIPT = "Repository doesn't have a HOMELY.py script"
class JsonError(Exception):
pass
class InputError(Exception):
"""
Raised when the user can't or doesn't provide a valid answer to a yesno()
ques... | homely/_errors.py | ERR_NOT_A_REPO = "Not a git repository"
ERR_NO_COMMITS = "Repository doesn't have any commits"
ERR_NO_SCRIPT = "Repository doesn't have a HOMELY.py script"
class JsonError(Exception):
pass
class InputError(Exception):
"""
Raised when the user can't or doesn't provide a valid answer to a yesno()
ques... | 0.400632 | 0.207335 |
import torch
from torch import nn
import numpy as np
from library.model_layers import ResnetBlock
import math
import torch.nn.functional as F
from torch.nn import init
class Generator(nn.Module):
def __init__(
self,
z_dim=256,
n_label=10,
im_size=32,
im_chan=3,
emb... | library/model_generators.py | import torch
from torch import nn
import numpy as np
from library.model_layers import ResnetBlock
import math
import torch.nn.functional as F
from torch.nn import init
class Generator(nn.Module):
def __init__(
self,
z_dim=256,
n_label=10,
im_size=32,
im_chan=3,
emb... | 0.922018 | 0.405037 |
from logging import getLogger
from typing import Any, Optional
from pyinaturalist import INAT_BASE_URL, RANKS, Coordinates, Observation
from pyinaturalist_convert import dwc_record_to_observation
from naturtag.constants import (
DATE_TAGS,
HIER_KEYWORD_TAGS,
KEYWORD_TAGS,
OBSERVATION_KEYS,
TAXON_K... | naturtag/metadata/meta_metadata.py | from logging import getLogger
from typing import Any, Optional
from pyinaturalist import INAT_BASE_URL, RANKS, Coordinates, Observation
from pyinaturalist_convert import dwc_record_to_observation
from naturtag.constants import (
DATE_TAGS,
HIER_KEYWORD_TAGS,
KEYWORD_TAGS,
OBSERVATION_KEYS,
TAXON_K... | 0.778691 | 0.220594 |
_author__ = "<NAME>"
__copyright__ = "Copyright 2015 <NAME>, Jose<NAME> Institute, xLiMe"
__license__ = "MIT"
__version__ = "1.0.0"
__email__ = "<EMAIL>"
import sys
DEBUG = False
def fleiss_kappa_interpret(kappa):
"""Return a string containing the human readable interpretation of the
value of kappa.
"""... | code/agreement.py | _author__ = "<NAME>"
__copyright__ = "Copyright 2015 <NAME>, Jose<NAME> Institute, xLiMe"
__license__ = "MIT"
__version__ = "1.0.0"
__email__ = "<EMAIL>"
import sys
DEBUG = False
def fleiss_kappa_interpret(kappa):
"""Return a string containing the human readable interpretation of the
value of kappa.
"""... | 0.553505 | 0.30948 |
import numpy as np
from ladim.ibms import light
class IBM:
def __init__(self, config):
# Constants
mortality = 0.17 # [days-1]
# mm2m = 0.001
# g = 9.81
# tempB = 7.0 # set default temperature
self.k = 0.2 # Light extinction coefficient
self.swim_vel = ... | ladim/ibms/salmon_lice.py | import numpy as np
from ladim.ibms import light
class IBM:
def __init__(self, config):
# Constants
mortality = 0.17 # [days-1]
# mm2m = 0.001
# g = 9.81
# tempB = 7.0 # set default temperature
self.k = 0.2 # Light extinction coefficient
self.swim_vel = ... | 0.550366 | 0.307748 |
import pprint
import re # noqa: F401
import six
from finnhub.configuration import Configuration
class EarningEstimate(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_... | finnhub/models/earning_estimate.py | import pprint
import re # noqa: F401
import six
from finnhub.configuration import Configuration
class EarningEstimate(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_... | 0.831177 | 0.210685 |
import csv
import json
import sys
import termtables as tt
'''
<NAME>
Parse Unified Audit Log
'''
o365_operations = {
"Set-Mailbox": { "label": "Modify settings" },
"Set-MailboxPlan": { "label": "Modify plan (IMAP? POP?)" },
"Set-OwaMailboxPolicy": { "label": "Modify Outlook Web" },
"Add-... | O365-python-parse/o365-python-parse.py | import csv
import json
import sys
import termtables as tt
'''
<NAME>
Parse Unified Audit Log
'''
o365_operations = {
"Set-Mailbox": { "label": "Modify settings" },
"Set-MailboxPlan": { "label": "Modify plan (IMAP? POP?)" },
"Set-OwaMailboxPolicy": { "label": "Modify Outlook Web" },
"Add-... | 0.100856 | 0.105602 |
from flask import request
from flask_restplus import Namespace, Resource
from service.core.files_provider import FilesProvider
from service.resources.entity.sw_model import SwModel
from service.utils.sw_logger import SwLogger
ns = Namespace("Files")
swagger_model = SwModel(ns)
logger = SwLogger(__name__)
@ns.route... | service/resources/files.py |
from flask import request
from flask_restplus import Namespace, Resource
from service.core.files_provider import FilesProvider
from service.resources.entity.sw_model import SwModel
from service.utils.sw_logger import SwLogger
ns = Namespace("Files")
swagger_model = SwModel(ns)
logger = SwLogger(__name__)
@ns.route... | 0.524395 | 0.124213 |
import cv2
import numpy as np
import os
import pytesseract
import imutils
import concurrent.futures
import time
t1 = time.perf_counter()
# Parameters
ang_input = 10 # Rotation angle range default 10 (-10 to 10).
binar_threshold = 57 # Binarization grayscale threshold default 35,
label_hue_min = 80 #... | slabels.py | import cv2
import numpy as np
import os
import pytesseract
import imutils
import concurrent.futures
import time
t1 = time.perf_counter()
# Parameters
ang_input = 10 # Rotation angle range default 10 (-10 to 10).
binar_threshold = 57 # Binarization grayscale threshold default 35,
label_hue_min = 80 #... | 0.441914 | 0.160759 |
from pathlib import Path
ROOT = Path(".").absolute().parents[1]
ROOT_URL = "https://github.com/rodluger/showyourwork-template/raw/main"
REQUIRED_DIRS = [
ROOT / ".github",
ROOT / ".github" / "workflows",
ROOT / "src",
ROOT / "src" / "figures",
]
REQUIRED_FILES = [
ROOT / "README.md",
ROOT / "... | workflow/helpers/linter.py | from pathlib import Path
ROOT = Path(".").absolute().parents[1]
ROOT_URL = "https://github.com/rodluger/showyourwork-template/raw/main"
REQUIRED_DIRS = [
ROOT / ".github",
ROOT / ".github" / "workflows",
ROOT / "src",
ROOT / "src" / "figures",
]
REQUIRED_FILES = [
ROOT / "README.md",
ROOT / "... | 0.658527 | 0.331174 |
from .models import (
Product, Location, Media, Supplying, Condition, Request, State, Using,
Category, Proposal, VEvent, Duration, Stock, Service, Common,
Giving, Sharing, Stocking, Providing
)
from rest_framework.serializers import HyperlinkedModelSerializer
from .permissions import (
IsOwnerOrReadO... | django/common/serializers.py |
from .models import (
Product, Location, Media, Supplying, Condition, Request, State, Using,
Category, Proposal, VEvent, Duration, Stock, Service, Common,
Giving, Sharing, Stocking, Providing
)
from rest_framework.serializers import HyperlinkedModelSerializer
from .permissions import (
IsOwnerOrReadO... | 0.901431 | 0.205555 |
from py2neo import Graph, Path
import time
import argparse
letters = "<KEY>"
def connect(url):
print "URL: {}".format(url)
return Graph(url)
def get_statements_count(node_type="Organisation"):
""" Generate the Cypher statements required to count the number of nodes
batches by the first two chara... | executor.py |
from py2neo import Graph, Path
import time
import argparse
letters = "<KEY>"
def connect(url):
print "URL: {}".format(url)
return Graph(url)
def get_statements_count(node_type="Organisation"):
""" Generate the Cypher statements required to count the number of nodes
batches by the first two chara... | 0.468304 | 0.336522 |
import os
from jinja2 import Environment, FileSystemLoader, select_autoescape, Template
from mikula.implementation import settings
GALLERY = settings.gallery_dir
IMAGES = settings.images_dir
THUMBNAILS = settings.thumbnails_dir
USER_ASSETS = settings.user_assets_dir
def cum_sum(x):
if len(x) == 0:
return... | mikula/implementation/rendering.py | import os
from jinja2 import Environment, FileSystemLoader, select_autoescape, Template
from mikula.implementation import settings
GALLERY = settings.gallery_dir
IMAGES = settings.images_dir
THUMBNAILS = settings.thumbnails_dir
USER_ASSETS = settings.user_assets_dir
def cum_sum(x):
if len(x) == 0:
return... | 0.314261 | 0.232571 |
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='TemplateBracket',
fields=[
('id', models.AutoF... | server/bracketshare/bandbrackets/migrations/0001_initial.py |
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='TemplateBracket',
fields=[
('id', models.AutoF... | 0.614047 | 0.129238 |
from flask import current_app
from commands import taches
import requests, json, uuid, random
from faker import Faker, providers
from slugify import slugify
from prettytable import PrettyTable
import argparse
from util import util
# générateur pseudo-aléatoire de statut
class StatusProvider (providers.BaseProvider):... | db/commands/tasktools.py | from flask import current_app
from commands import taches
import requests, json, uuid, random
from faker import Faker, providers
from slugify import slugify
from prettytable import PrettyTable
import argparse
from util import util
# générateur pseudo-aléatoire de statut
class StatusProvider (providers.BaseProvider):... | 0.348202 | 0.082586 |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_in... | tool_sdk/api/execute/tool_execution_snapshot_pb2.py |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_in... | 0.271831 | 0.086903 |
import os
from swagger.tests.common import SwaggerSpecsTestCase
from swagger.model.specs import SwaggerLoader
from swagger.model.specs._utils import map_path_2_repo
from swagger.utils import exceptions
class SwaggerLinkTest(SwaggerSpecsTestCase):
def test_swagger_link_data_collection_rules(self):
file_pa... | src/backend/swagger/tests/schema_tests/test_swagger_link.py | import os
from swagger.tests.common import SwaggerSpecsTestCase
from swagger.model.specs import SwaggerLoader
from swagger.model.specs._utils import map_path_2_repo
from swagger.utils import exceptions
class SwaggerLinkTest(SwaggerSpecsTestCase):
def test_swagger_link_data_collection_rules(self):
file_pa... | 0.226099 | 0.106505 |
from scipy.sparse import csr_matrix
from amfeti.linalg import cal_schur_complement
from .preconditioner_base import PreconditionerBase
import numpy as np
all = ['LumpedPreconditioner',
'SuperLumpedPreconditioner',
'DirichletPreconditioner',
'LumpedDirichletPreconditioner']
class LumpedPrecondit... | amfeti/preconditioners/k_preconditioners.py | from scipy.sparse import csr_matrix
from amfeti.linalg import cal_schur_complement
from .preconditioner_base import PreconditionerBase
import numpy as np
all = ['LumpedPreconditioner',
'SuperLumpedPreconditioner',
'DirichletPreconditioner',
'LumpedDirichletPreconditioner']
class LumpedPrecondit... | 0.916173 | 0.228802 |
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('dem... | democracy/migrations/0015_add_organization_model.py | from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('dem... | 0.566978 | 0.108566 |
import cadquery as cq
import cqparts
from cadquery import Solid
from cqparts.params import *
from cqparts.display import render_props, display
from cqparts.constraint import Fixed, Coincident
from cqparts.constraint import Mate
from cqparts.utils.geometry import CoordSystem
from cqparts.search import register
from .pa... | button.py | import cadquery as cq
import cqparts
from cadquery import Solid
from cqparts.params import *
from cqparts.display import render_props, display
from cqparts.constraint import Fixed, Coincident
from cqparts.constraint import Mate
from cqparts.utils.geometry import CoordSystem
from cqparts.search import register
from .pa... | 0.502441 | 0.208582 |
import copy
import os
import time
from typing import Any, Callable, Dict, List, Optional, Sequence, Union
import numpy as np
import sonnet as snt
import tensorflow as tf
import tensorflow_probability as tfp
import trfl
from acme.tf import utils as tf2_utils
from acme.utils import counting, loggers
import mava
from ma... | mava/systems/tf/mappo/training.py | import copy
import os
import time
from typing import Any, Callable, Dict, List, Optional, Sequence, Union
import numpy as np
import sonnet as snt
import tensorflow as tf
import tensorflow_probability as tfp
import trfl
from acme.tf import utils as tf2_utils
from acme.utils import counting, loggers
import mava
from ma... | 0.869063 | 0.319599 |
import numpy as np, pandas as pd
import os, re, requests, demjson,urllib, argparse
from bs4 import BeautifulSoup
def main(f_url_list='url_list.txt', dir_out=None):
if dir_out is None:
import time
dir_out=f'metadata_{int(time.time())}'
try:
os.mkdir(dir_out)
except FileExistsError:... | metadata_scrapper.py | import numpy as np, pandas as pd
import os, re, requests, demjson,urllib, argparse
from bs4 import BeautifulSoup
def main(f_url_list='url_list.txt', dir_out=None):
if dir_out is None:
import time
dir_out=f'metadata_{int(time.time())}'
try:
os.mkdir(dir_out)
except FileExistsError:... | 0.104352 | 0.065695 |
from nose.tools import eq_
from pyquery import PyQuery as pq
from kitsune.sumo.tests import TestCase
from kitsune.sumo.urlresolvers import reverse
from kitsune.users.tests import UserFactory
from kitsune.wiki.tests import TranslatedRevisionFactory
class LocalizationDashTests(TestCase):
"""Tests for the Localizat... | kitsune/dashboards/tests/test_templates.py | from nose.tools import eq_
from pyquery import PyQuery as pq
from kitsune.sumo.tests import TestCase
from kitsune.sumo.urlresolvers import reverse
from kitsune.users.tests import UserFactory
from kitsune.wiki.tests import TranslatedRevisionFactory
class LocalizationDashTests(TestCase):
"""Tests for the Localizat... | 0.801742 | 0.471892 |