code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
import logging
import re
from typing import Any, AsyncIterator, List, Optional, Text, Tuple
import faker
from faker import Faker
from rasa.shared.importers.rasa import RasaFileImporter
from rasa.shared.nlu.training_data import loading
from rasa.shared.nlu.training_data.entities_parser import find_entities_in_training_... | rasam/importers/placeholder.py | import logging
import re
from typing import Any, AsyncIterator, List, Optional, Text, Tuple
import faker
from faker import Faker
from rasa.shared.importers.rasa import RasaFileImporter
from rasa.shared.nlu.training_data import loading
from rasa.shared.nlu.training_data.entities_parser import find_entities_in_training_... | 0.830697 | 0.526525 |
from __future__ import absolute_import
from .bridge_sampler import (bridge_sampler,
bridge_sampler_relative_mse_estimate)
from .sampler_diagnostics import (estimate_convergence_rate,
estimate_stationary_distribution,
rjm... | src/reanalysis_dbns/models/__init__.py |
from __future__ import absolute_import
from .bridge_sampler import (bridge_sampler,
bridge_sampler_relative_mse_estimate)
from .sampler_diagnostics import (estimate_convergence_rate,
estimate_stationary_distribution,
rjm... | 0.847495 | 0.156685 |
from django import forms
from django.utils.translation import gettext as _
class ProfileForm(forms.Form):
email = forms.EmailField(label=_("Email address"), max_length=150)
first_name = forms.CharField(label=_("First name"), max_length=150, required=False)
last_name = forms.CharField(label=_("Last name"),... | app/core/forms.py | from django import forms
from django.utils.translation import gettext as _
class ProfileForm(forms.Form):
email = forms.EmailField(label=_("Email address"), max_length=150)
first_name = forms.CharField(label=_("First name"), max_length=150, required=False)
last_name = forms.CharField(label=_("Last name"),... | 0.439988 | 0.084947 |
import itertools
import inspect
from util.commands.formatter import HelpFormatter, Paginator
from util.commands.core import Command
class RichFormatter(HelpFormatter):
def _add_subcommands_to_page(self, max_width, commands):
for name, command in commands:
if name in command.aliases:
... | util/proformatter.py | import itertools
import inspect
from util.commands.formatter import HelpFormatter, Paginator
from util.commands.core import Command
class RichFormatter(HelpFormatter):
def _add_subcommands_to_page(self, max_width, commands):
for name, command in commands:
if name in command.aliases:
... | 0.660829 | 0.227942 |
import numpy as np
import pandas as pd
import astropy.stats as aps
import astropy.coordinates as coord
import astropy.units as u
from astropy.coordinates.builtin_frames.galactocentric \
import get_matrix_vectors
import warnings
from astropy.utils.exceptions import AstropyWarning
warnings.simplefilter('ignore', cat... | aviary/inference.py |
import numpy as np
import pandas as pd
import astropy.stats as aps
import astropy.coordinates as coord
import astropy.units as u
from astropy.coordinates.builtin_frames.galactocentric \
import get_matrix_vectors
import warnings
from astropy.utils.exceptions import AstropyWarning
warnings.simplefilter('ignore', cat... | 0.909766 | 0.580114 |
# Copyright (c) 2013, <NAME>
# All rights reserved.
# Complete license can be found in the LICENSE file.
from mvc import Controller
from pyxrd.generic.controllers import BaseController
from pyxrd.probabilities.views import get_correct_probability_views
from pyxrd.probabilities.models import RGbounds
def get_correc... | pyxrd/probabilities/controllers.py |
# Copyright (c) 2013, <NAME>
# All rights reserved.
# Complete license can be found in the LICENSE file.
from mvc import Controller
from pyxrd.generic.controllers import BaseController
from pyxrd.probabilities.views import get_correct_probability_views
from pyxrd.probabilities.models import RGbounds
def get_correc... | 0.78785 | 0.180883 |
import logging
from functools import partial
from typing import List
import hoomd
import hoomd.md as md
from .params import SimulationParams
logger = logging.getLogger(__name__)
def set_integrator(sim_params: SimulationParams,
prime_interval: int=33533,
crystal: bool=False,
... | statdyn/simulation/helper.py | import logging
from functools import partial
from typing import List
import hoomd
import hoomd.md as md
from .params import SimulationParams
logger = logging.getLogger(__name__)
def set_integrator(sim_params: SimulationParams,
prime_interval: int=33533,
crystal: bool=False,
... | 0.760384 | 0.276182 |
# Script pro generaci playlistu z OTA služby O2TV
# ***********************************************
# Script je odvozen z Kodi addon service.playlist.o2tv,
# který byl vytvořen z původního addon autora <NAME>.
import os
import time
import urllib3
import common as c
import config as cfg
from o2tvgo import Authenti... | playlist.py |
# Script pro generaci playlistu z OTA služby O2TV
# ***********************************************
# Script je odvozen z Kodi addon service.playlist.o2tv,
# který byl vytvořen z původního addon autora <NAME>.
import os
import time
import urllib3
import common as c
import config as cfg
from o2tvgo import Authenti... | 0.236164 | 0.114121 |
import argparse
import sys
import os
import cv2
import numpy as np
from src import lib
parser = argparse.ArgumentParser()
parser.add_argument('-i', '--input', help="Input image path", required=True)
parser.add_argument('-o', '--outdir', help="Output directory", required=True)
parser.add_argument(
'-m', '--model'... | src/tools/predict.py |
import argparse
import sys
import os
import cv2
import numpy as np
from src import lib
parser = argparse.ArgumentParser()
parser.add_argument('-i', '--input', help="Input image path", required=True)
parser.add_argument('-o', '--outdir', help="Output directory", required=True)
parser.add_argument(
'-m', '--model'... | 0.306423 | 0.098686 |
import pygame
from pygame.locals import *
import time
import random
size = 40
class Apple:
def __init__(self, parent_screen):
# loading the apple image
self.parent_screen = parent_screen
self.apple = pygame.image.load("resources/apple.jpg").convert()
self.x = size*4
self.y ... | snake_game/main.py | import pygame
from pygame.locals import *
import time
import random
size = 40
class Apple:
def __init__(self, parent_screen):
# loading the apple image
self.parent_screen = parent_screen
self.apple = pygame.image.load("resources/apple.jpg").convert()
self.x = size*4
self.y ... | 0.401923 | 0.290377 |
import config
import common, importlib, out, os, time
import traceback
import pprint
import restart as _restart
modname = "admin"
async def dump(self, chan, source, msg):
"""
dump the contents of self to a file
for debugging purposes.
"""
if len(msg) < 1:
await out.msg(self, modname, cha... | mod/admin.py |
import config
import common, importlib, out, os, time
import traceback
import pprint
import restart as _restart
modname = "admin"
async def dump(self, chan, source, msg):
"""
dump the contents of self to a file
for debugging purposes.
"""
if len(msg) < 1:
await out.msg(self, modname, cha... | 0.311636 | 0.107297 |
import logging
import os
from megalinter import Reporter, config, utils
class TextReporter(Reporter):
name = "TEXT"
report_type = "detailed"
scope = "linter"
def __init__(self, params=None):
# report_type is simple by default
self.report_type = "simple"
super().__init__(param... | megalinter/reporters/TextReporter.py | import logging
import os
from megalinter import Reporter, config, utils
class TextReporter(Reporter):
name = "TEXT"
report_type = "detailed"
scope = "linter"
def __init__(self, params=None):
# report_type is simple by default
self.report_type = "simple"
super().__init__(param... | 0.143938 | 0.07373 |
__all__ = [
"build_train_batch",
"build_valid_batch",
"build_infer_batch",
"train_dl",
"valid_dl",
"infer_dl",
]
from icevision.imports import *
from icevision.models.utils import *
def train_dl(dataset, batch_tfms=None, **dataloader_kwargs) -> DataLoader:
"""A `DataLoader` with a custom ... | icevision/models/ross/efficientdet/dataloaders.py | __all__ = [
"build_train_batch",
"build_valid_batch",
"build_infer_batch",
"train_dl",
"valid_dl",
"infer_dl",
]
from icevision.imports import *
from icevision.models.utils import *
def train_dl(dataset, batch_tfms=None, **dataloader_kwargs) -> DataLoader:
"""A `DataLoader` with a custom ... | 0.948052 | 0.828904 |
# # s_rand_ols_estim [<img src="https://www.arpm.co/lab/icons/icon_permalink.png" width=30 height=30 style="display: inline;">](https://www.arpm.co/lab/redirect.php?code=s_rand_ols_estim&codeLang=Python)
# For details, see [here](https://www.arpm.co/lab/redirect.php?permalink=ExFactBayesOLSEstim).
# +
import matplotl... | scripts/sources/s_rand_ols_estim.py |
# # s_rand_ols_estim [<img src="https://www.arpm.co/lab/icons/icon_permalink.png" width=30 height=30 style="display: inline;">](https://www.arpm.co/lab/redirect.php?code=s_rand_ols_estim&codeLang=Python)
# For details, see [here](https://www.arpm.co/lab/redirect.php?permalink=ExFactBayesOLSEstim).
# +
import matplotl... | 0.717012 | 0.794783 |
import numpy as np
import tensorflow as tf
import classifier.cnn.model as model
import classifier.cnn.input as input
import classifier.common.report as report
EPOCH_COUNT = 1
BATCH_SIZE = 1
def main(argv):
print("Building graph...")
tf.reset_default_graph()
dataset, _ = input.create_filename_dataset(a... | code/classifier/cnn/test.py | import numpy as np
import tensorflow as tf
import classifier.cnn.model as model
import classifier.cnn.input as input
import classifier.common.report as report
EPOCH_COUNT = 1
BATCH_SIZE = 1
def main(argv):
print("Building graph...")
tf.reset_default_graph()
dataset, _ = input.create_filename_dataset(a... | 0.462473 | 0.2786 |
import sqlite3
import tkinter
from tkinter import ttk
class Database(object):
def __init__(self, filename, table):
self.connection = sqlite3.connect(filename)
with self.connection:
self.connection.row_factory = sqlite3.Row
self.cursor = self.connection.cursor()
... | transmute_antipsychotics.py |
import sqlite3
import tkinter
from tkinter import ttk
class Database(object):
def __init__(self, filename, table):
self.connection = sqlite3.connect(filename)
with self.connection:
self.connection.row_factory = sqlite3.Row
self.cursor = self.connection.cursor()
... | 0.24599 | 0.116261 |
def registerSpeedTreeIn():
"""
Registers a new SpeedTreeIn node type using the NodeTypeBuilder utility
class.
"""
from Katana import Nodes3DAPI
from Katana import FnAttribute, FnGeolibServices
def buildSpeedTreeInOpChain(node, interface):
"""
Defines the callback function u... | Procedurals/speedtreeKit/speedtreeOp/source/RegisterSpeedTreeInNode.py | def registerSpeedTreeIn():
"""
Registers a new SpeedTreeIn node type using the NodeTypeBuilder utility
class.
"""
from Katana import Nodes3DAPI
from Katana import FnAttribute, FnGeolibServices
def buildSpeedTreeInOpChain(node, interface):
"""
Defines the callback function u... | 0.785597 | 0.469885 |
import logging
from datetime import datetime
import dateutil.relativedelta
from django.core.exceptions import ObjectDoesNotExist
from django.core.cache import cache
from django.utils.timezone import utc
from models import Device, Configuration, DeviceConfiguration, Sensor, SensorValue, SensorValueDaily
logger = log... | server/functions.py | import logging
from datetime import datetime
import dateutil.relativedelta
from django.core.exceptions import ObjectDoesNotExist
from django.core.cache import cache
from django.utils.timezone import utc
from models import Device, Configuration, DeviceConfiguration, Sensor, SensorValue, SensorValueDaily
logger = log... | 0.369429 | 0.120051 |
from portality.lib import dataobj
from portality import models
from portality.api.v1.data_objects.common_journal_application import OutgoingCommonJournalApplication
# we only have outgoing journals for the moment
JOURNAL_STRUCT = {
"objects": ["bibjson", "admin"],
"fields": {
"id": {"coerce": "unicode... | portality/api/v1/data_objects/journal.py | from portality.lib import dataobj
from portality import models
from portality.api.v1.data_objects.common_journal_application import OutgoingCommonJournalApplication
# we only have outgoing journals for the moment
JOURNAL_STRUCT = {
"objects": ["bibjson", "admin"],
"fields": {
"id": {"coerce": "unicode... | 0.651798 | 0.352759 |
import torch
import torch.nn as nn
import torch.utils.data as data
from torchsummary import summary
from dataset.datasets import ModelNet40
from model.TNet import input_transform_feature,feature_transform
import torch.nn.functional as F
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
class PointN... | model/pointnet.py | import torch
import torch.nn as nn
import torch.utils.data as data
from torchsummary import summary
from dataset.datasets import ModelNet40
from model.TNet import input_transform_feature,feature_transform
import torch.nn.functional as F
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
class PointN... | 0.872075 | 0.560012 |
"""Конструкции для работы с API."""
from functools import partial
from collections import namedtuple
import re
import inspect
from yadic.container import Container as _Container
from yadic.util import deep_merge as _deep_merge
from pynch.util import load_configs as _load_configs
from pynch import validators as _valid... | src/pynch/core.py | """Конструкции для работы с API."""
from functools import partial
from collections import namedtuple
import re
import inspect
from yadic.container import Container as _Container
from yadic.util import deep_merge as _deep_merge
from pynch.util import load_configs as _load_configs
from pynch import validators as _valid... | 0.656328 | 0.232332 |
import requests
import datetime
class AzureCidrDownloader():
def get_timestamps(self):
'''
Return a list of timestamps from the past 7 days, because Azure IP tables updates once every week.
The thought is that within 7 days, at least one link will drop for all Azure tables.
'''
format = '%Y%m%d... | src/dl/download_azure.py | import requests
import datetime
class AzureCidrDownloader():
def get_timestamps(self):
'''
Return a list of timestamps from the past 7 days, because Azure IP tables updates once every week.
The thought is that within 7 days, at least one link will drop for all Azure tables.
'''
format = '%Y%m%d... | 0.64512 | 0.252857 |
import typing
import json
import asyncio
from collections import deque
from starlette.websockets import WebSocket
from .JsPyTextSocket import JsPyTextSocket, JsPyError
from . import JsPyBackground
__all__ = ['push_nowait', 'push', 'pop', 'shift', 'add_callback',
'clear_callback', 'is_empty', 'get_keys',
... | JsMeetsStarlette/JsPyQueue.py | import typing
import json
import asyncio
from collections import deque
from starlette.websockets import WebSocket
from .JsPyTextSocket import JsPyTextSocket, JsPyError
from . import JsPyBackground
__all__ = ['push_nowait', 'push', 'pop', 'shift', 'add_callback',
'clear_callback', 'is_empty', 'get_keys',
... | 0.61555 | 0.311676 |
import pandas as pd
import numpy as np
from io import BytesIO #, StringIO
from zipfile import ZipFile
from urllib.request import urlopen
from database.base import Session, engine, Base
class IpedsFile:
__url_base = 'https://nces.ed.gov/ipeds/datacenter/data/'
def __init__(self, year):
self.year = year... | netfile/ipeds_file.py | import pandas as pd
import numpy as np
from io import BytesIO #, StringIO
from zipfile import ZipFile
from urllib.request import urlopen
from database.base import Session, engine, Base
class IpedsFile:
__url_base = 'https://nces.ed.gov/ipeds/datacenter/data/'
def __init__(self, year):
self.year = year... | 0.360939 | 0.113187 |
import pytest
from nagare.renderers import html_base as html
def test_html1():
h = html.Renderer()
assert h.div(h.p('test')).tostring() == b'<div><p>test</p></div>'
with pytest.raises(AttributeError):
h.foo
def test_head():
""" XHTML namespace unit test - HTMLRender - init - test if head ... | tests/test_html.py |
import pytest
from nagare.renderers import html_base as html
def test_html1():
h = html.Renderer()
assert h.div(h.p('test')).tostring() == b'<div><p>test</p></div>'
with pytest.raises(AttributeError):
h.foo
def test_head():
""" XHTML namespace unit test - HTMLRender - init - test if head ... | 0.603932 | 0.446072 |
import glm
import camera
import buffer
import scene
import ray
import intersection_record as ir
import sys
import math
import onb
import material
from random import random
class PathTracer(object):
"""
PathTracer ( camera (Camera), scene (Scene), bg_color (vec3), buffer(Buffer) )
This is where the images will be r... | pathtracer.py |
import glm
import camera
import buffer
import scene
import ray
import intersection_record as ir
import sys
import math
import onb
import material
from random import random
class PathTracer(object):
"""
PathTracer ( camera (Camera), scene (Scene), bg_color (vec3), buffer(Buffer) )
This is where the images will be r... | 0.343012 | 0.275812 |
import os
import numpy as np
import matplotlib.pyplot as plt
from Algorithms.NSGA2.NSGAII_core import *
iterations = 30
delay = 0.01
population_size = 10
generation_size = 10
save = False
pause = 1
def new_point():
return np.random.random(), np.random.random()
def prepare_plot(phase, pause):
plt.pause(pau... | AnalysisTools/NSGAII_example.py | import os
import numpy as np
import matplotlib.pyplot as plt
from Algorithms.NSGA2.NSGAII_core import *
iterations = 30
delay = 0.01
population_size = 10
generation_size = 10
save = False
pause = 1
def new_point():
return np.random.random(), np.random.random()
def prepare_plot(phase, pause):
plt.pause(pau... | 0.269806 | 0.420838 |
from __future__ import division
import os
from os.path import abspath
import sys
import shutil
sys.path.append(os.path.dirname(abspath(__file__))+'/../')
import elution as el
import utils as ut
MSB_EXT = '.prot_count_uniqpeps_FDR0010'
PQ_FILE = 'ISO_QUAN/quantification-protein-intensity.txt'
PQ_OUTFILE = 'quantificati... | scripts/pepquant_post.py | from __future__ import division
import os
from os.path import abspath
import sys
import shutil
sys.path.append(os.path.dirname(abspath(__file__))+'/../')
import elution as el
import utils as ut
MSB_EXT = '.prot_count_uniqpeps_FDR0010'
PQ_FILE = 'ISO_QUAN/quantification-protein-intensity.txt'
PQ_OUTFILE = 'quantificati... | 0.228329 | 0.18159 |
# TODO: module cleanup! maybe break it up in a package
# dicts instead of if, elif,else all over the place.
# helper functions instead of everything on the execute method.
# str.format() + dicts instead of inline % op all over the place.
# remove/manage debug print calls.
# self.__class__.attr? use ... | bpy_lambda/2.78/scripts/addons_contrib/amaranth/scene/debug.py | # TODO: module cleanup! maybe break it up in a package
# dicts instead of if, elif,else all over the place.
# helper functions instead of everything on the execute method.
# str.format() + dicts instead of inline % op all over the place.
# remove/manage debug print calls.
# self.__class__.attr? use ... | 0.263979 | 0.271828 |
import numpy as np
import tensorflow as tf
from models.model import Model
class FeatureModel(Model):
"""
Model to hold hand-crafted features
"""
pronouns_m = ["he", "him", "his"]
pronouns_f = ["she", "her", "hers"]
inverse_words = ["not", "n't"]
def __init__(self, word_to_id, **kwargs):... | project-2/src/models/feature_model.py | import numpy as np
import tensorflow as tf
from models.model import Model
class FeatureModel(Model):
"""
Model to hold hand-crafted features
"""
pronouns_m = ["he", "him", "his"]
pronouns_f = ["she", "her", "hers"]
inverse_words = ["not", "n't"]
def __init__(self, word_to_id, **kwargs):... | 0.79653 | 0.479869 |
import unittest
import os
from tgext.mailer._compat import (
text_type,
StringIO,
_qencode,
)
from email.encoders import (
_bencode,
)
class TestAttachment(unittest.TestCase):
def _makeOne(self, **kw):
from tgext.mailer.message import Attachment
return Attachment(**kw)
... | tgext/mailer/tests/test_message.py |
import unittest
import os
from tgext.mailer._compat import (
text_type,
StringIO,
_qencode,
)
from email.encoders import (
_bencode,
)
class TestAttachment(unittest.TestCase):
def _makeOne(self, **kw):
from tgext.mailer.message import Attachment
return Attachment(**kw)
... | 0.489259 | 0.304261 |
import sys
sys.path.append("..")
from fastNLP.loader.config_loader import ConfigLoader, ConfigSection
from fastNLP.core.trainer import SeqLabelTrainer
from fastNLP.loader.dataset_loader import TokenizeDatasetLoader, BaseLoader
from fastNLP.core.preprocess import SeqLabelPreprocess, load_pickle
from fastNLP.saver.mode... | test/test_cws.py | import sys
sys.path.append("..")
from fastNLP.loader.config_loader import ConfigLoader, ConfigSection
from fastNLP.core.trainer import SeqLabelTrainer
from fastNLP.loader.dataset_loader import TokenizeDatasetLoader, BaseLoader
from fastNLP.core.preprocess import SeqLabelPreprocess, load_pickle
from fastNLP.saver.mode... | 0.403214 | 0.229018 |
from flask import Flask
from flask import render_template
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
app = Flask(__name__)
#app.config['SECRET_KEY'] = ''
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///site.app_db'
app_db = SQLAlchemy(app)
# User class(table) for app_db
class User(app_... | app/app.py | from flask import Flask
from flask import render_template
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
app = Flask(__name__)
#app.config['SECRET_KEY'] = ''
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///site.app_db'
app_db = SQLAlchemy(app)
# User class(table) for app_db
class User(app_... | 0.408867 | 0.046681 |
from __future__ import print_function
import binascii
import hashlib
import hmac
import os
import struct
# keysize is in number of bytes
keysize = 32
hash_func = hashlib.sha256
# Realistically iv size and signature size don't have to be the same size
# as the encryption key.
hexB = lambda s: binascii.hexlify(s)
un... | hashcrypt/hashcrypt.py |
from __future__ import print_function
import binascii
import hashlib
import hmac
import os
import struct
# keysize is in number of bytes
keysize = 32
hash_func = hashlib.sha256
# Realistically iv size and signature size don't have to be the same size
# as the encryption key.
hexB = lambda s: binascii.hexlify(s)
un... | 0.621311 | 0.444987 |
# Copyright (c) 2020, 2022 Oracle and/or its affiliates.
# Licensed under the Universal Permissive License v 1.0 as shown at https://oss.oracle.com/licenses/upl/
import contextlib
import inspect
import os
from typing import Dict, Optional
from ads.common.config import DEFAULT_CONFIG_PATH, DEFAULT_CONFIG_PROFILE, Con... | ads/config.py |
# Copyright (c) 2020, 2022 Oracle and/or its affiliates.
# Licensed under the Universal Permissive License v 1.0 as shown at https://oss.oracle.com/licenses/upl/
import contextlib
import inspect
import os
from typing import Dict, Optional
from ads.common.config import DEFAULT_CONFIG_PATH, DEFAULT_CONFIG_PROFILE, Con... | 0.805058 | 0.094845 |
from Utils import Environment
from Utils import Constants
class Calculator:
LDPI = 120
MDPI = 160
HDPI = 240
XHDPI = 320
XXHDPI = 480
XXXHDPI = 640
def __init__(self,forDeviceDensity):
self.mForDeviceDensity = forDeviceDensity
self.mprofileMap = {}
def getPx(self, d... | Utils/DipCalculator.py | from Utils import Environment
from Utils import Constants
class Calculator:
LDPI = 120
MDPI = 160
HDPI = 240
XHDPI = 320
XXHDPI = 480
XXXHDPI = 640
def __init__(self,forDeviceDensity):
self.mForDeviceDensity = forDeviceDensity
self.mprofileMap = {}
def getPx(self, d... | 0.424889 | 0.266322 |
import asyncio
import inspect
import zmq
import zmq.asyncio
from distutils.version import LooseVersion
from ssdaq import sslogger
if LooseVersion("17") > LooseVersion(zmq.__version__):
zmq.asyncio.install()
class ReceiverServer:
""" Base class for receivers.
Implements some of the boilerplate code t... | ssdaq/core/receiver_server.py | import asyncio
import inspect
import zmq
import zmq.asyncio
from distutils.version import LooseVersion
from ssdaq import sslogger
if LooseVersion("17") > LooseVersion(zmq.__version__):
zmq.asyncio.install()
class ReceiverServer:
""" Base class for receivers.
Implements some of the boilerplate code t... | 0.760384 | 0.177169 |
'''Test checkers'''
import unittest
import omnilint_test_common as common
class TestCheckers(unittest.TestCase):
def test_json(self):
errs = common.checkthis(
'json', '.json', '''
{
"x": "asdf",
"y": 9,
"z": false
}
''')
self.assertEqual(errs, [])
errs = c... | tests/test_checkers.py | '''Test checkers'''
import unittest
import omnilint_test_common as common
class TestCheckers(unittest.TestCase):
def test_json(self):
errs = common.checkthis(
'json', '.json', '''
{
"x": "asdf",
"y": 9,
"z": false
}
''')
self.assertEqual(errs, [])
errs = c... | 0.311322 | 0.424412 |
from pycam.Geometry import TransformableContainer
from pycam.Geometry.Model import ContourModel
from pycam.Geometry.Line import Line
from pycam.Geometry.PointUtils import padd
TEXT_ALIGN_LEFT = 0
TEXT_ALIGN_CENTER = 1
TEXT_ALIGN_RIGHT = 2
class Letter(TransformableContainer):
def __init__(self, lines):
... | pycam/pycam/Geometry/Letters.py | from pycam.Geometry import TransformableContainer
from pycam.Geometry.Model import ContourModel
from pycam.Geometry.Line import Line
from pycam.Geometry.PointUtils import padd
TEXT_ALIGN_LEFT = 0
TEXT_ALIGN_CENTER = 1
TEXT_ALIGN_RIGHT = 2
class Letter(TransformableContainer):
def __init__(self, lines):
... | 0.676406 | 0.254416 |
import enum
from collections import OrderedDict
from flask import request
from .errors import FormError, FormValueError, ValidationError
class Field():
_default = None
def __new__(cls, *args, **kwargs):
if 'init' in kwargs:
kwargs.pop('init')
return super().__new__(cls)
... | src/exts/jsonform/main.py | import enum
from collections import OrderedDict
from flask import request
from .errors import FormError, FormValueError, ValidationError
class Field():
_default = None
def __new__(cls, *args, **kwargs):
if 'init' in kwargs:
kwargs.pop('init')
return super().__new__(cls)
... | 0.570331 | 0.110184 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from NeuralBlocks.blocks.convnorm import ConvNorm
from NeuralBlocks.blocks.convnormrelu import ConvNormRelu
class unetDown(nn.Module):
def __init__(self, in_channels, out_channels, norm=None):
super(unetDown, self).__init__()
"""
... | models/unet.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from NeuralBlocks.blocks.convnorm import ConvNorm
from NeuralBlocks.blocks.convnormrelu import ConvNormRelu
class unetDown(nn.Module):
def __init__(self, in_channels, out_channels, norm=None):
super(unetDown, self).__init__()
"""
... | 0.9191 | 0.489442 |
import unittest
from nzmath.permute import *
a1 = Permute([2, 3, 1, 4])
a2 = Permute([1, 3, 2, 0, 4], 0)
a3 = Permute([3, 4, 1, 0, 2], 0)
a4 = Permute(['b', 'c', 'a', 'd', 'e'], 1)
a5 = Permute(['@', '$', '~', '^', '#'], ['#', '$', '@', '^', '~'])
a6 = Permute({'a':'b', 'b':'c', 'c':'a', 'd':'d', 'e':'e'})
b1 = ExPe... | test/testPermute.py | import unittest
from nzmath.permute import *
a1 = Permute([2, 3, 1, 4])
a2 = Permute([1, 3, 2, 0, 4], 0)
a3 = Permute([3, 4, 1, 0, 2], 0)
a4 = Permute(['b', 'c', 'a', 'd', 'e'], 1)
a5 = Permute(['@', '$', '~', '^', '#'], ['#', '$', '@', '^', '~'])
a6 = Permute({'a':'b', 'b':'c', 'c':'a', 'd':'d', 'e':'e'})
b1 = ExPe... | 0.581184 | 0.938237 |
from urllib.parse import urljoin
from django.conf import settings
from django.contrib.auth.tokens import default_token_generator
from django.template.loader import render_to_string
from django.urls import reverse
from django.utils.encoding import force_bytes
from django.utils.formats import date_format
from django.uti... | ephios/core/services/notifications/types.py | from urllib.parse import urljoin
from django.conf import settings
from django.contrib.auth.tokens import default_token_generator
from django.template.loader import render_to_string
from django.urls import reverse
from django.utils.encoding import force_bytes
from django.utils.formats import date_format
from django.uti... | 0.583322 | 0.088308 |
from tensorflow.keras.layers import Dense, Concatenate
from tensorflow.keras.models import Model
from tensorflow.keras.optimizers import Adam
import tensorflow as tf
import numpy as np
from huskarl.policy import Greedy, GaussianEpsGreedy
from huskarl.core import Agent
import huskarl.memory
class A2C(Agent):
"""Adva... | huskarl/agent/a2c.py | from tensorflow.keras.layers import Dense, Concatenate
from tensorflow.keras.models import Model
from tensorflow.keras.optimizers import Adam
import tensorflow as tf
import numpy as np
from huskarl.policy import Greedy, GaussianEpsGreedy
from huskarl.core import Agent
import huskarl.memory
class A2C(Agent):
"""Adva... | 0.829492 | 0.513363 |
from functools import singledispatch
from operator import attrgetter
import unittest
def dispatch(table, dispatch_method=attrgetter('__call__'), attr_joiner='__o__'):
def dispatching(ty, recv, spec_table):
def R(this, that):
r = recv(this)
m = dispatch_method(r)
D = s... | dispatching/dispatching.py | from functools import singledispatch
from operator import attrgetter
import unittest
def dispatch(table, dispatch_method=attrgetter('__call__'), attr_joiner='__o__'):
def dispatching(ty, recv, spec_table):
def R(this, that):
r = recv(this)
m = dispatch_method(r)
D = s... | 0.4917 | 0.223229 |
import click
import pandas as pd
import numpy as np
from os import mkdir
from os.path import basename, join
from functools import partial
DATA_TYPES_NUMERIC = ('int', 'float')
FINAL_LIST = [
'study_id', 'host_scientific_name',
'latitude_deg', 'longitude_deg',
'envo_biome_3', 'empo_3',
'temperature... | code/07-env-effects-corr/clean_map_emp.py | import click
import pandas as pd
import numpy as np
from os import mkdir
from os.path import basename, join
from functools import partial
DATA_TYPES_NUMERIC = ('int', 'float')
FINAL_LIST = [
'study_id', 'host_scientific_name',
'latitude_deg', 'longitude_deg',
'envo_biome_3', 'empo_3',
'temperature... | 0.458106 | 0.341692 |
import numpy as np
class CubeDataset:
def __init__(self, opt, mu, A, new_noise=False, norm=True, num_examples=3000):
super().__init__()
self.opt = opt
self.mu = np.reshape(mu, (3, 1))
self.A = A
self.num_point = opt['num_point']
self.cube_template = opt['base_scale'... | data/CubeDatset.py | import numpy as np
class CubeDataset:
def __init__(self, opt, mu, A, new_noise=False, norm=True, num_examples=3000):
super().__init__()
self.opt = opt
self.mu = np.reshape(mu, (3, 1))
self.A = A
self.num_point = opt['num_point']
self.cube_template = opt['base_scale'... | 0.538741 | 0.422386 |
from __future__ import print_function, absolute_import
from .cid_utbase import cid_UTBase
from futoin.cid.rmstool import RmsTool
from futoin.cid.util import executil as _executil
from futoin.cid.util import pathutil as _pathutil
from futoin.cid.util import install as _install
import os
import subprocess
import glob
... | tests/cid_rmshost_test.py |
from __future__ import print_function, absolute_import
from .cid_utbase import cid_UTBase
from futoin.cid.rmstool import RmsTool
from futoin.cid.util import executil as _executil
from futoin.cid.util import pathutil as _pathutil
from futoin.cid.util import install as _install
import os
import subprocess
import glob
... | 0.359252 | 0.072505 |
ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsUnion, ValueSizeConstraint, SingleValueConstraint, ValueRangeConstraint, ConstraintsIntersection = mibBuilder.impo... | pysnmp/Dell-BANNER-MIB.py | ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsUnion, ValueSizeConstraint, SingleValueConstraint, ValueRangeConstraint, ConstraintsIntersection = mibBuilder.impo... | 0.293303 | 0.139338 |
from collections import OrderedDict
import numpy as np
from PIL import Image
import torch
from torch import nn
from torchvision import datasets, transforms, models
def import_transfrom(data_dir):
train_dir = data_dir + '/train'
valid_dir = data_dir + '/valid'
test_dir = data_dir + '/test'
... | util_functions.py | from collections import OrderedDict
import numpy as np
from PIL import Image
import torch
from torch import nn
from torchvision import datasets, transforms, models
def import_transfrom(data_dir):
train_dir = data_dir + '/train'
valid_dir = data_dir + '/valid'
test_dir = data_dir + '/test'
... | 0.520009 | 0.63114 |
class Octopus:
def __init__(self,filename):
with open(filename,'r') as input_file:
rows = [line.strip('\n') for line in input_file]
self.max_y = len(rows)
self.grid = []
for r in rows:
cols = [int(c) for c in r]
self.grid.append... | 2021/Day11/octopus.py | class Octopus:
def __init__(self,filename):
with open(filename,'r') as input_file:
rows = [line.strip('\n') for line in input_file]
self.max_y = len(rows)
self.grid = []
for r in rows:
cols = [int(c) for c in r]
self.grid.append... | 0.473414 | 0.270733 |
import os
import sys
import shutil
import logging
import unittest
import copy
from distutils.version import LooseVersion
from collections import namedtuple
from mock import patch
from mock import MagicMock
from mock import call
from intelhex import IntelHex
from pyedbglib.hidtransport.hidtransportbase import HidTool
... | pymcuprog/tests/test_backend.py | import os
import sys
import shutil
import logging
import unittest
import copy
from distutils.version import LooseVersion
from collections import namedtuple
from mock import patch
from mock import MagicMock
from mock import call
from intelhex import IntelHex
from pyedbglib.hidtransport.hidtransportbase import HidTool
... | 0.475118 | 0.137735 |
from typing import Any, Callable, Iterable, Optional, Tuple
from .init_args import init_args
from .key_swap import key_swap
__all__ = [
'ExtraKeysError',
'_get_dict',
'InitArgsError',
'marshal_dict',
'unmarshal_dict',
'marshal_list',
'unmarshal_list',
]
def _get_dict(
obj: Any,
) ->... | pymarshal/util/marshal.py | from typing import Any, Callable, Iterable, Optional, Tuple
from .init_args import init_args
from .key_swap import key_swap
__all__ = [
'ExtraKeysError',
'_get_dict',
'InitArgsError',
'marshal_dict',
'unmarshal_dict',
'marshal_list',
'unmarshal_list',
]
def _get_dict(
obj: Any,
) ->... | 0.86681 | 0.221477 |
import argparse
import socket
import threading
import time
from urllib import request as urequest
def cmd_parser():
# 返回为app.py准备的command line parser
parser = argparse.ArgumentParser(description="To display your experiment logs in html.")
parser.add_argument('-d', '--log_dir', help='Where to read logs. T... | toolbox/web/log_app/server/app_utils.py | import argparse
import socket
import threading
import time
from urllib import request as urequest
def cmd_parser():
# 返回为app.py准备的command line parser
parser = argparse.ArgumentParser(description="To display your experiment logs in html.")
parser.add_argument('-d', '--log_dir', help='Where to read logs. T... | 0.2587 | 0.05151 |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import json
import math
import os
import select
import subprocess
import struct
import sys
import time
try:
from select import PIPE_BUF
except ImportError:
# PIPE_BUF is not available on Python 2.6
... | asv/util.py | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import json
import math
import os
import select
import subprocess
import struct
import sys
import time
try:
from select import PIPE_BUF
except ImportError:
# PIPE_BUF is not available on Python 2.6
... | 0.656438 | 0.345574 |
import skil_client
from skil_client.rest import ApiException as api_exception
class WorkSpace:
"""WorkSpace
Workspaces are a collection of features that enable different tasks such as
conducting experiments, training models, and test different dataset transforms.
Workspaces are distinct from Deploym... | skil/workspaces.py | import skil_client
from skil_client.rest import ApiException as api_exception
class WorkSpace:
"""WorkSpace
Workspaces are a collection of features that enable different tasks such as
conducting experiments, training models, and test different dataset transforms.
Workspaces are distinct from Deploym... | 0.722429 | 0.433981 |
import unittest
from sqlbuilder import smartsql
from ascetic import exceptions, validators
from ascetic.databases import databases
from ascetic.mappers import Mapper, mapper_registry
from ascetic.relations import ForeignKey
Author = Book = None
class TestMapper(unittest.TestCase):
maxDiff = None
create_s... | ascetic/tests/test_mappers.py | import unittest
from sqlbuilder import smartsql
from ascetic import exceptions, validators
from ascetic.databases import databases
from ascetic.mappers import Mapper, mapper_registry
from ascetic.relations import ForeignKey
Author = Book = None
class TestMapper(unittest.TestCase):
maxDiff = None
create_s... | 0.508056 | 0.197967 |
from __future__ import unicode_literals
from permission.compat import six
def get_perm_codename(perm, fail_silently=True):
"""
Get permission codename from permission-string.
Examples
--------
>>> get_perm_codename('app_label.codename_model')
'codename_model'
>>> get_perm_codename('app_la... | src/permission/utils/permissions.py | from __future__ import unicode_literals
from permission.compat import six
def get_perm_codename(perm, fail_silently=True):
"""
Get permission codename from permission-string.
Examples
--------
>>> get_perm_codename('app_label.codename_model')
'codename_model'
>>> get_perm_codename('app_la... | 0.871598 | 0.179135 |
import discord
from discord.ext import commands
from ext.context import Context
import os
import subprocess
from utils.utils import paginate
from contextlib import redirect_stdout
import textwrap
import traceback
import inspect
import datetime
import io
class Owner:
"""Core class for owner commands"""
def __in... | cogs/owner.py | import discord
from discord.ext import commands
from ext.context import Context
import os
import subprocess
from utils.utils import paginate
from contextlib import redirect_stdout
import textwrap
import traceback
import inspect
import datetime
import io
class Owner:
"""Core class for owner commands"""
def __in... | 0.451327 | 0.270349 |
import os
import numpy as np
from lava.core.generic.process import Process
from lava.processes.generic.dense import Dense
from lava.processes.generic.lif import LIF
from lava.core.generic.enums import Backend
class DatasetBuffer:
def __init__(self, **kwargs):
dataset_path = kwargs.pop('dataset_path', 'd... | nets/mnist_execvar_io.py |
import os
import numpy as np
from lava.core.generic.process import Process
from lava.processes.generic.dense import Dense
from lava.processes.generic.lif import LIF
from lava.core.generic.enums import Backend
class DatasetBuffer:
def __init__(self, **kwargs):
dataset_path = kwargs.pop('dataset_path', 'd... | 0.628635 | 0.317506 |
from abc import ABC, abstractmethod
from typing import Any
import torch
import torch.nn as nn
from torch import Tensor
from .functions import *
# This is a work-in-progress attempt to use type aliases to indicate the shapes of tensors.
# T = 50 (TBTT length)
# B = 50 (batch size)
# I = 1/3/10 (IW... | pydreamer/models/common.py | from abc import ABC, abstractmethod
from typing import Any
import torch
import torch.nn as nn
from torch import Tensor
from .functions import *
# This is a work-in-progress attempt to use type aliases to indicate the shapes of tensors.
# T = 50 (TBTT length)
# B = 50 (batch size)
# I = 1/3/10 (IW... | 0.940285 | 0.468669 |
import json
import boto3
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
s3 = boto3.client('s3')
def lambda_handler(event, context):
print("Received event: " + json.dumps(event, indent=2))
# Get the object from the event and show its content type
bucket = event['Records'][0]['s3'][... | aws/lambda/sentiment-analysis/lambda_function.py | import json
import boto3
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
s3 = boto3.client('s3')
def lambda_handler(event, context):
print("Received event: " + json.dumps(event, indent=2))
# Get the object from the event and show its content type
bucket = event['Records'][0]['s3'][... | 0.325842 | 0.114591 |
import mock
from openstack.cloud import inventory
import openstack.config
from openstack.tests import fakes
from openstack.tests.unit import base
class TestInventory(base.TestCase):
def setUp(self):
super(TestInventory, self).setUp()
@mock.patch("openstack.config.loader.OpenStackConfig")
@mock... | openstack/tests/unit/cloud/test_inventory.py |
import mock
from openstack.cloud import inventory
import openstack.config
from openstack.tests import fakes
from openstack.tests.unit import base
class TestInventory(base.TestCase):
def setUp(self):
super(TestInventory, self).setUp()
@mock.patch("openstack.config.loader.OpenStackConfig")
@mock... | 0.638385 | 0.296323 |
import numpy as np
import os
import sys
sys.path.append('/home/jonfrey/PLR/src/')
sys.path.append('/home/jonfrey/PLR/src/dense_fusion')
from math import pi
from PIL import Image
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from helper import re_quat, compose_quat, rotation_angle
from est... | src/helper/postprocess.py | import numpy as np
import os
import sys
sys.path.append('/home/jonfrey/PLR/src/')
sys.path.append('/home/jonfrey/PLR/src/dense_fusion')
from math import pi
from PIL import Image
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from helper import re_quat, compose_quat, rotation_angle
from est... | 0.25303 | 0.290383 |
import logging
import logging.handlers
import ConfigParser
import StringIO
config = ConfigParser.RawConfigParser()
content = """
[server]
hostname=localhost
url_port=8440
secured_url_port=8441
[agent]
prefix=/tmp/ambari-agent
[services]
[stack]
installprefix=/tmp
upgradeScriptsDir=/var/lib/ambari-agent/upgrade_sta... | ambari-agent/src/main/python/ambari_agent/AmbariConfig.py | import logging
import logging.handlers
import ConfigParser
import StringIO
config = ConfigParser.RawConfigParser()
content = """
[server]
hostname=localhost
url_port=8440
secured_url_port=8441
[agent]
prefix=/tmp/ambari-agent
[services]
[stack]
installprefix=/tmp
upgradeScriptsDir=/var/lib/ambari-agent/upgrade_sta... | 0.130313 | 0.039527 |
from math import atan2, sqrt
from functools import partial, partialmethod
from itertools import starmap
from operator import and_, or_, xor, invert
from typing import Tuple, Optional
class Color(object):
__slots__ = ('_color')
_RGBfmt = frozenset({'RGB', 'float'})
_HSLfmt = frozenset({'HSL', 'luminance'})
... | colorconv.py | from math import atan2, sqrt
from functools import partial, partialmethod
from itertools import starmap
from operator import and_, or_, xor, invert
from typing import Tuple, Optional
class Color(object):
__slots__ = ('_color')
_RGBfmt = frozenset({'RGB', 'float'})
_HSLfmt = frozenset({'HSL', 'luminance'})
... | 0.80479 | 0.161883 |
import math,time,multiprocessing
import Pyro4,imp,time,sys,os,psutil
import Library
import sqlite3 as sqlite
import datetime as dt
import subprocess
from signal import *
from subprocess import *
import random
from collections import OrderedDict
from Library import getHomepath, readBackfuzzPath
#perhaps needs to be s... | emulators/run_backfuzz.py | import math,time,multiprocessing
import Pyro4,imp,time,sys,os,psutil
import Library
import sqlite3 as sqlite
import datetime as dt
import subprocess
from signal import *
from subprocess import *
import random
from collections import OrderedDict
from Library import getHomepath, readBackfuzzPath
#perhaps needs to be s... | 0.233008 | 0.123524 |
from litex.build.generic_platform import *
from litex.build.altera import AlteraPlatform
from litex.build.altera.programmer import USBBlaster
# IOs ----------------------------------------------------------------------------------------------
_io = [
# Clk
("clk50", 0, Pins("T2"), IOStandard("3.3-V LVTTL")),... | litex_boards/platforms/qmtech_ep4ce15.py |
from litex.build.generic_platform import *
from litex.build.altera import AlteraPlatform
from litex.build.altera.programmer import USBBlaster
# IOs ----------------------------------------------------------------------------------------------
_io = [
# Clk
("clk50", 0, Pins("T2"), IOStandard("3.3-V LVTTL")),... | 0.368065 | 0.207054 |
import displayio
__version__ = "0.0.0-auto.0"
__repo__ = "https://github.com/adafruit/Adafruit_CircuitPython_Display_Shapes.git"
class RoundRect(displayio.TileGrid):
"""A round-corner rectangle, top left corner is (x, y) and size of width, height.
r is the radius of the rounded corner. Stroke is used for the... | adafruit_display_shapes/roundrect.py | import displayio
__version__ = "0.0.0-auto.0"
__repo__ = "https://github.com/adafruit/Adafruit_CircuitPython_Display_Shapes.git"
class RoundRect(displayio.TileGrid):
"""A round-corner rectangle, top left corner is (x, y) and size of width, height.
r is the radius of the rounded corner. Stroke is used for the... | 0.792785 | 0.442396 |
import sys
import itertools
class BubbleDetection:
# Bubble (in a de Bruijn graph) is defined as a pair of short
# non-overlapping disjoint paths between some vertces V and W.
def __init__(self, k, t, reads):
self.k = k
self.threshold = t
self.graph = {}
self.paths = {}
... | week3/Bubble Detection.py | import sys
import itertools
class BubbleDetection:
# Bubble (in a de Bruijn graph) is defined as a pair of short
# non-overlapping disjoint paths between some vertces V and W.
def __init__(self, k, t, reads):
self.k = k
self.threshold = t
self.graph = {}
self.paths = {}
... | 0.38122 | 0.417361 |
__all__ = ['default_configs', 'model_funcs', 'splits', 'get_model', 'EfficientNetB1', 'EfficientNetB2',
'EfficientNetB3', 'EfficientNetB4', 'EfficientNetB5', 'EfficientNetB6', 'EfficientNetB7',
'efficientnet_config', 'efficientnetb1', 'efficientnetb2', 'efficientnetb3', 'efficientnetb4',
... | dev/local/classification/models.py |
__all__ = ['default_configs', 'model_funcs', 'splits', 'get_model', 'EfficientNetB1', 'EfficientNetB2',
'EfficientNetB3', 'EfficientNetB4', 'EfficientNetB5', 'EfficientNetB6', 'EfficientNetB7',
'efficientnet_config', 'efficientnetb1', 'efficientnetb2', 'efficientnetb3', 'efficientnetb4',
... | 0.611962 | 0.282092 |
from typing import Dict
from unittest.mock import patch
from pandas import DataFrame, read_csv
from edfi_google_classroom_extractor.api.usage import request_all_usage_as_df
from tests.helper import merged_dict
# Empty string is the default value for this env variables
ENV_START_DATE = ""
ENV_END_DATE = ""
def dataf... | src/google-classroom-extractor/tests/api/usage/test_usage_db_sync.py |
from typing import Dict
from unittest.mock import patch
from pandas import DataFrame, read_csv
from edfi_google_classroom_extractor.api.usage import request_all_usage_as_df
from tests.helper import merged_dict
# Empty string is the default value for this env variables
ENV_START_DATE = ""
ENV_END_DATE = ""
def dataf... | 0.729038 | 0.354154 |
import logging
from collections import defaultdict
import sparv.util as util
from sparv import (AllDocuments, AnnotationAllDocs, Config, Corpus, Export, ExportInput, OutputCommonData, exporter,
installer)
from sparv.util.mysql_wrapper import MySQL
log = logging.getLogger(__name__)
# Path to the c... | sparv/modules/korp/lemgram_index.py |
import logging
from collections import defaultdict
import sparv.util as util
from sparv import (AllDocuments, AnnotationAllDocs, Config, Corpus, Export, ExportInput, OutputCommonData, exporter,
installer)
from sparv.util.mysql_wrapper import MySQL
log = logging.getLogger(__name__)
# Path to the c... | 0.613352 | 0.110952 |
from googlecloudsdk.api_lib.deployment_manager import dm_v2_util
from googlecloudsdk.calliope import base
from googlecloudsdk.core import log
from googlecloudsdk.core import properties
from googlecloudsdk.third_party.apitools.base.py import list_pager
class List(base.Command):
"""List manifests in a deployment.
... | lib/surface/deployment_manager/manifests/list.py | from googlecloudsdk.api_lib.deployment_manager import dm_v2_util
from googlecloudsdk.calliope import base
from googlecloudsdk.core import log
from googlecloudsdk.core import properties
from googlecloudsdk.third_party.apitools.base.py import list_pager
class List(base.Command):
"""List manifests in a deployment.
... | 0.716318 | 0.10581 |
from typing import List
import pytest
from thinc.api import fix_random_seed, Adam, set_dropout_rate
from thinc.api import Ragged, reduce_mean, Logistic, chain, Relu
from numpy.testing import assert_array_equal, assert_array_almost_equal
import numpy
from spacy.ml.models import build_Tok2Vec_model, MultiHashEmbed, Maxou... | spacy/tests/test_models.py | from typing import List
import pytest
from thinc.api import fix_random_seed, Adam, set_dropout_rate
from thinc.api import Ragged, reduce_mean, Logistic, chain, Relu
from numpy.testing import assert_array_equal, assert_array_almost_equal
import numpy
from spacy.ml.models import build_Tok2Vec_model, MultiHashEmbed, Maxou... | 0.726523 | 0.468122 |
from __future__ import print_function
from P13pt.mascril.measurement import MeasurementBase
from P13pt.mascril.parameter import Sweep, String, Folder, Boolean
from P13pt.mascril.progressbar import progressbar_wait
from P13pt.drivers.bilt import Bilt, BiltVoltageSource, BiltVoltMeter
from P13pt.drivers.anritsuvna import... | P13pt/mascril/modules/vna_capa_Anritsu.py | from __future__ import print_function
from P13pt.mascril.measurement import MeasurementBase
from P13pt.mascril.parameter import Sweep, String, Folder, Boolean
from P13pt.mascril.progressbar import progressbar_wait
from P13pt.drivers.bilt import Bilt, BiltVoltageSource, BiltVoltMeter
from P13pt.drivers.anritsuvna import... | 0.468304 | 0.170025 |
from difflib import SequenceMatcher
from classification.models import NotMealTags
from classification.tagger.recipe_tagger import RecipeTagger
from crawler.data_cleaners.daily_menu.filters.base_filter import BaseFilter
class NoMealFilter(BaseFilter):
def __init__(self):
self.no_meal_tags = []
sel... | daily_menu/crawler/data_cleaners/daily_menu/filters/no_meal.py | from difflib import SequenceMatcher
from classification.models import NotMealTags
from classification.tagger.recipe_tagger import RecipeTagger
from crawler.data_cleaners.daily_menu.filters.base_filter import BaseFilter
class NoMealFilter(BaseFilter):
def __init__(self):
self.no_meal_tags = []
sel... | 0.678327 | 0.259075 |
# --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by <NAME>
# --------------------------------------------------------
"""Test a Fast R-CNN network on an image database."""
import _init_paths
fro... | tools/test_net.py |
# --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by <NAME>
# --------------------------------------------------------
"""Test a Fast R-CNN network on an image database."""
import _init_paths
fro... | 0.715722 | 0.126138 |
# ****************************************** PathwayProjection *****************************************************
"""
Contents
--------
* `PathwayProjection_Overview`
* `PathwayProjection_Creation`
* `PathwayProjection_Structure`
- `PathwayProjection_Sender`
- `PathwayProjection_Receiver`
*... | psyneulink/core/components/projections/pathway/pathwayprojection.py |
# ****************************************** PathwayProjection *****************************************************
"""
Contents
--------
* `PathwayProjection_Overview`
* `PathwayProjection_Creation`
* `PathwayProjection_Structure`
- `PathwayProjection_Sender`
- `PathwayProjection_Receiver`
*... | 0.711932 | 0.432183 |
{
'targets': [
{
'target_name': 'node-juce-native',
'sources': [
'src/main.cc',
'addon/JuceLibraryCode/include_juce_core.cpp',
'addon/JuceLibraryCode/include_juce_data_structures.cpp',
'addon/JuceLibraryCode/include_juce_events.cpp',
'addon/JuceLibraryCode/inclu... | binding.gyp | {
'targets': [
{
'target_name': 'node-juce-native',
'sources': [
'src/main.cc',
'addon/JuceLibraryCode/include_juce_core.cpp',
'addon/JuceLibraryCode/include_juce_data_structures.cpp',
'addon/JuceLibraryCode/include_juce_events.cpp',
'addon/JuceLibraryCode/inclu... | 0.260013 | 0.101679 |
from .settings import *
# often used libraries
INSTALLED_APPS += [
'django_cleanup',
'widget_tweaks',
'corsheaders'
]
# allauth
INSTALLED_APPS += [
'django.contrib.sites',
'allauth',
'allauth.account',
'allauth.socialaccount',
'allauth.socialaccount.providers.facebook',
'allauth... | djps/base.py | from .settings import *
# often used libraries
INSTALLED_APPS += [
'django_cleanup',
'widget_tweaks',
'corsheaders'
]
# allauth
INSTALLED_APPS += [
'django.contrib.sites',
'allauth',
'allauth.account',
'allauth.socialaccount',
'allauth.socialaccount.providers.facebook',
'allauth... | 0.226869 | 0.070272 |
import sys
import click
from askanna.core import client
from askanna.core.dataclasses import Variable
class VariableGateway:
def __init__(self, *args, **kwargs):
self.client = client
self.project = None
self.cache = {}
self.base_url = self.client.config.remote + "variable/"
d... | askanna/core/variable.py | import sys
import click
from askanna.core import client
from askanna.core.dataclasses import Variable
class VariableGateway:
def __init__(self, *args, **kwargs):
self.client = client
self.project = None
self.cache = {}
self.base_url = self.client.config.remote + "variable/"
d... | 0.280814 | 0.08886 |
from tfchain.polyfill.encoding.jsmods.sprintfjs import api as sprintfjs
def to_int(str, base=None):
x = None
__pragma__("js", "{}", """
x = parseInt(str, base);
""")
return x
def from_int(x):
str = None
__pragma__("js", "{}", """
str = x.toString();
""")
return str
def to_utf8... | src/tfchain/polyfill/encoding/str.py | from tfchain.polyfill.encoding.jsmods.sprintfjs import api as sprintfjs
def to_int(str, base=None):
x = None
__pragma__("js", "{}", """
x = parseInt(str, base);
""")
return x
def from_int(x):
str = None
__pragma__("js", "{}", """
str = x.toString();
""")
return str
def to_utf8... | 0.535098 | 0.140661 |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from future.builtins import * # NOQA
import numpy as np
import scipy.integrate
import scipy.interpolate
def integrate_cumtrapz(data, dx, **kwargs):
"""
Performs first order integration of data using ... | IRIS_data_download/IRIS_download_support/obspy/signal/differentiate_and_integrate.py | from __future__ import (absolute_import, division, print_function,
unicode_literals)
from future.builtins import * # NOQA
import numpy as np
import scipy.integrate
import scipy.interpolate
def integrate_cumtrapz(data, dx, **kwargs):
"""
Performs first order integration of data using ... | 0.890091 | 0.517998 |
import contextlib
import os
import shutil
import subprocess
import sys
import tempfile
import urllib.request
import xml.etree.ElementTree as ET
"""Fetch and install missing Mikero's tools"""
toms_depot = 'http://tom4897.info/app/tools/community/'
disk_location = r'C:\Program Files (x86)\Mikero\DePboTools\bin' + '\\'
... | tools/install_mikeros_tools.py | import contextlib
import os
import shutil
import subprocess
import sys
import tempfile
import urllib.request
import xml.etree.ElementTree as ET
"""Fetch and install missing Mikero's tools"""
toms_depot = 'http://tom4897.info/app/tools/community/'
disk_location = r'C:\Program Files (x86)\Mikero\DePboTools\bin' + '\\'
... | 0.245899 | 0.082734 |
import sys, time, os
from datetime import datetime
from prettytable import PrettyTable
from modules.get_aiq_inputs import get_inputs_logs as get_inputs
from modules.connect_auth_aiq import web_login, build_headers, build_connect
from modules.get_aiq_customer import parse_customer
from modules.parser import parse_... | aiq_cluster_events.py | import sys, time, os
from datetime import datetime
from prettytable import PrettyTable
from modules.get_aiq_inputs import get_inputs_logs as get_inputs
from modules.connect_auth_aiq import web_login, build_headers, build_connect
from modules.get_aiq_customer import parse_customer
from modules.parser import parse_... | 0.10307 | 0.097048 |
import json
import warnings
import pulumi
import pulumi.runtime
from .. import utilities, tables
class Model(pulumi.CustomResource):
arn: pulumi.Output[str]
"""
The Amazon Resource Name (ARN) assigned by AWS to this model.
"""
containers: pulumi.Output[list]
"""
Specifies containers in the... | sdk/python/pulumi_aws/sagemaker/model.py |
import json
import warnings
import pulumi
import pulumi.runtime
from .. import utilities, tables
class Model(pulumi.CustomResource):
arn: pulumi.Output[str]
"""
The Amazon Resource Name (ARN) assigned by AWS to this model.
"""
containers: pulumi.Output[list]
"""
Specifies containers in the... | 0.741768 | 0.141637 |
from __future__ import division
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
isis = np.loadtxt("data/ISIs_gsdT36gh02.txt.gz")
Vtraces = [np.loadtxt("data/Vtrace-gsd%04.0f.txt"%(g*1e4)) for g in (0.21,0.23,0.245,0.263,0.28,0.315)]
time=np.arange(0,4,0.00005)
... | Figures/Figure5/Figure5-gsd bifurcation.py | from __future__ import division
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
isis = np.loadtxt("data/ISIs_gsdT36gh02.txt.gz")
Vtraces = [np.loadtxt("data/Vtrace-gsd%04.0f.txt"%(g*1e4)) for g in (0.21,0.23,0.245,0.263,0.28,0.315)]
time=np.arange(0,4,0.00005)
... | 0.259638 | 0.369969 |
from django.core.exceptions import PermissionDenied
from django.core.urlresolvers import reverse
from django.contrib.auth.models import AnonymousUser
from django.test import RequestFactory
from tally_ho.apps.tally.views import data_entry as views
from tally_ho.libs.permissions import groups
from tally_ho.libs.tests.te... | tally_ho/apps/tally/tests/views/test_data_entry.py | from django.core.exceptions import PermissionDenied
from django.core.urlresolvers import reverse
from django.contrib.auth.models import AnonymousUser
from django.test import RequestFactory
from tally_ho.apps.tally.views import data_entry as views
from tally_ho.libs.permissions import groups
from tally_ho.libs.tests.te... | 0.481941 | 0.289447 |
import os
import sys
from logger import logger
from datetime import datetime, timedelta
from time import mktime
from calendar import timegm
from emojis import get_random_emoji
ignoreWords = os.environ.get('IGNORE_WORDS')
IGNORE_WORDS = [i.lower().strip() for i in ignoreWords.split(',')] if ignoreWords else []
ignoreL... | helpers/tools.py | import os
import sys
from logger import logger
from datetime import datetime, timedelta
from time import mktime
from calendar import timegm
from emojis import get_random_emoji
ignoreWords = os.environ.get('IGNORE_WORDS')
IGNORE_WORDS = [i.lower().strip() for i in ignoreWords.split(',')] if ignoreWords else []
ignoreL... | 0.256459 | 0.144601 |
import argparse as ap
import yaml
import sys
import os
# From this project
from shakemap_utils import download_shakemapgrid
def get_args():
# Get the input arguments
parser = ap.ArgumentParser(description='Download a USGS ShakeMap',
formatter_class=ap.ArgumentDefaultsHelpForma... | scripts/find_and_download_shakemap.py | import argparse as ap
import yaml
import sys
import os
# From this project
from shakemap_utils import download_shakemapgrid
def get_args():
# Get the input arguments
parser = ap.ArgumentParser(description='Download a USGS ShakeMap',
formatter_class=ap.ArgumentDefaultsHelpForma... | 0.306942 | 0.101589 |
import pandas as pd
import pytest
from esmtools.timeutils import TimeUtilAccessor
def test_timeutils_accessor(annual_gregorian):
"""Test that the `timeutils` accessor can be called."""
# Calling the TimeUtilAccessor directly in the first instance to not trigger
# F401 (importing unused module) from flake... | esmtools/tests/test_timeutils.py | import pandas as pd
import pytest
from esmtools.timeutils import TimeUtilAccessor
def test_timeutils_accessor(annual_gregorian):
"""Test that the `timeutils` accessor can be called."""
# Calling the TimeUtilAccessor directly in the first instance to not trigger
# F401 (importing unused module) from flake... | 0.897617 | 0.668258 |
import pickle
import string
import numpy as np
from gensim.models import word2vec, Word2Vec
from keras.preprocessing.sequence import pad_sequences
def build_tag2id(tags, tag2id_filepath):
"""
Build the dictionary mapping from tag to id
:param tags: the BIO tags
:param tag2id_filepath: the output pat... | word2vec_bilstm_crf/data_utils.py |
import pickle
import string
import numpy as np
from gensim.models import word2vec, Word2Vec
from keras.preprocessing.sequence import pad_sequences
def build_tag2id(tags, tag2id_filepath):
"""
Build the dictionary mapping from tag to id
:param tags: the BIO tags
:param tag2id_filepath: the output pat... | 0.694717 | 0.393735 |
import pandas as pd
def csv_parser(df, mapping_csv):
"""Selects and renames columns according to a CSV file that defines the
parsing rules.
Arguments:
---------
``df``: DataFrame
The Raw Dataframe we want to use import into OSM.
``mapping_csv``: String
The pa... | osmi_helpers/data_gathering.py | import pandas as pd
def csv_parser(df, mapping_csv):
"""Selects and renames columns according to a CSV file that defines the
parsing rules.
Arguments:
---------
``df``: DataFrame
The Raw Dataframe we want to use import into OSM.
``mapping_csv``: String
The pa... | 0.860428 | 0.597931 |
from copy import deepcopy
from eth2spec.test.context import spec_state_test, with_all_phases
from eth2spec.test.helpers.state import (
next_epoch,
next_slot,
state_transition_and_sign_block,
)
from eth2spec.test.helpers.block import apply_empty_block, sign_block
from eth2spec.test.helpers.attestations impo... | test_libs/pyspec/eth2spec/test/phase_0/epoch_processing/test_process_crosslinks.py | from copy import deepcopy
from eth2spec.test.context import spec_state_test, with_all_phases
from eth2spec.test.helpers.state import (
next_epoch,
next_slot,
state_transition_and_sign_block,
)
from eth2spec.test.helpers.block import apply_empty_block, sign_block
from eth2spec.test.helpers.attestations impo... | 0.796728 | 0.557484 |
import grakn
import re
from Bio.SeqIO.FastaIO import SimpleFastaParser
from util import insert_if_non_existent, insert_anyway
'''
1. creates a Grakn session to talk to the 'proteins' keyspace
2. inserts the database entity named 'UniProt'
3. for each protein stored in target-protein-sequences.fasta, inser... | blast/migrate.py | import grakn
import re
from Bio.SeqIO.FastaIO import SimpleFastaParser
from util import insert_if_non_existent, insert_anyway
'''
1. creates a Grakn session to talk to the 'proteins' keyspace
2. inserts the database entity named 'UniProt'
3. for each protein stored in target-protein-sequences.fasta, inser... | 0.347316 | 0.222521 |
import webob.exc
from nova.api.openstack import extensions
from nova.api.openstack import wsgi
from nova.openstack.common import log as logging
ALIAS = 'extensions'
LOG = logging.getLogger(__name__)
# V2.1 does not support XML but we need to keep an entry in the
# /extensions information returned to the user for ba... | nova/api/openstack/compute/plugins/v3/extension_info.py |
import webob.exc
from nova.api.openstack import extensions
from nova.api.openstack import wsgi
from nova.openstack.common import log as logging
ALIAS = 'extensions'
LOG = logging.getLogger(__name__)
# V2.1 does not support XML but we need to keep an entry in the
# /extensions information returned to the user for ba... | 0.638948 | 0.060919 |
from couchdbkit.exceptions import ResourceNotFound
from datetime import timedelta
from django.utils.translation import ugettext as _, ugettext_noop
from corehq.apps.users.models import CouchUser
from custom.succeed.reports import *
from custom.succeed.reports.patient_details import PatientDetailsReport
from dimagi.util... | custom/succeed/reports/patient_interactions.py | from couchdbkit.exceptions import ResourceNotFound
from datetime import timedelta
from django.utils.translation import ugettext as _, ugettext_noop
from corehq.apps.users.models import CouchUser
from custom.succeed.reports import *
from custom.succeed.reports.patient_details import PatientDetailsReport
from dimagi.util... | 0.38827 | 0.051702 |
import imghdr
from django.core.files.uploadedfile import InMemoryUploadedFile
from data_django.exec_sql import exec_dql_query
def is_valid_image_upload(city: str, image: InMemoryUploadedFile) -> bool:
"""Returns whether the passed request is a valid image upload request.
Parameters
----------
city: s... | amos/django_orchestrator/api/validator.py | import imghdr
from django.core.files.uploadedfile import InMemoryUploadedFile
from data_django.exec_sql import exec_dql_query
def is_valid_image_upload(city: str, image: InMemoryUploadedFile) -> bool:
"""Returns whether the passed request is a valid image upload request.
Parameters
----------
city: s... | 0.827654 | 0.480052 |
from drawables import Drawable
from utils import FRAMERATE
import pygame
import sys
__all__ = ['SceneManager', 'Scene']
def is_quit_event(ev):
if ev.type is pygame.QUIT:
return True
if ev.type is pygame.KEYDOWN:
if ev.key is pygame.K_ESCAPE and pygame.key.get_mods() & pygame.KMOD_SHIFT:
... | scenes/base.py | from drawables import Drawable
from utils import FRAMERATE
import pygame
import sys
__all__ = ['SceneManager', 'Scene']
def is_quit_event(ev):
if ev.type is pygame.QUIT:
return True
if ev.type is pygame.KEYDOWN:
if ev.key is pygame.K_ESCAPE and pygame.key.get_mods() & pygame.KMOD_SHIFT:
... | 0.345216 | 0.166134 |