code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
from datetime import datetime
from urllib import urlencode
import logging
import numpy as np
import pandas as pd
from sklearn import preprocessing
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import OneHotEncoder
from sklearn.preprocessing import Imputer
from sklearn.preprocessing import St... | sparx/preprocess/__init__.py | from datetime import datetime
from urllib import urlencode
import logging
import numpy as np
import pandas as pd
from sklearn import preprocessing
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import OneHotEncoder
from sklearn.preprocessing import Imputer
from sklearn.preprocessing import St... | 0.76555 | 0.467879 |
import os
import pytest
from splunk_sdk import Context
from splunk_sdk.auth import TokenAuthManager
from splunk_sdk.auth.auth_manager import AuthnError
from splunk_sdk.base_client import BaseClient
from splunk_sdk.identity import Identity as IdentityAndAccessControl
from splunk_sdk.auth import PKCEAuthManager, Client... | test/auth/test_auth_manager.py | import os
import pytest
from splunk_sdk import Context
from splunk_sdk.auth import TokenAuthManager
from splunk_sdk.auth.auth_manager import AuthnError
from splunk_sdk.base_client import BaseClient
from splunk_sdk.identity import Identity as IdentityAndAccessControl
from splunk_sdk.auth import PKCEAuthManager, Client... | 0.407333 | 0.185467 |
from gocept.amqprun.interfaces import IResponse
from gocept.amqprun.interfaces import RetryException
import logging
import transaction
try:
from zope.security.management import endInteraction as end_interaction
from zope.security.testing import create_interaction
except ImportError: # pragma: no cover
def... | src/gocept/amqprun/worker.py | from gocept.amqprun.interfaces import IResponse
from gocept.amqprun.interfaces import RetryException
import logging
import transaction
try:
from zope.security.management import endInteraction as end_interaction
from zope.security.testing import create_interaction
except ImportError: # pragma: no cover
def... | 0.64713 | 0.14445 |
from sklearn.datasets import load_iris
from sklearn.ensemble import AdaBoostClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn_porter import Porter
iris_data = load_iris()
X = iris_data.data
y = iris_data.target
base_estimator = DecisionTreeClassifier(max_depth=4, random_state=0)
clf = AdaBoost... | examples/estimator/classifier/AdaBoostClassifier/js/basics_embedded.py |
from sklearn.datasets import load_iris
from sklearn.ensemble import AdaBoostClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn_porter import Porter
iris_data = load_iris()
X = iris_data.data
y = iris_data.target
base_estimator = DecisionTreeClassifier(max_depth=4, random_state=0)
clf = AdaBoost... | 0.465873 | 0.443781 |
from . import domainresource
class Medication(domainresource.DomainResource):
""" Definition of a Medication.
This resource is primarily used for the identification and definition of a
medication for the purposes of prescribing, dispensing, and administering a
medication as well as for making st... | fhirclient/r4models/medication.py |
from . import domainresource
class Medication(domainresource.DomainResource):
""" Definition of a Medication.
This resource is primarily used for the identification and definition of a
medication for the purposes of prescribing, dispensing, and administering a
medication as well as for making st... | 0.836388 | 0.431584 |
# -*- coding: utf-8 -*-
import binascii
def test_no_domains_key(webapp):
"""Test a POST without 'domains' being set fails."""
response = webapp.post('/search')
assert response.status_code == 302
assert response.headers['location'] == 'http://localhost:80/error/2'
def test_empty_domains_... | tests/test_search_outliers.py | # -*- coding: utf-8 -*-
import binascii
def test_no_domains_key(webapp):
"""Test a POST without 'domains' being set fails."""
response = webapp.post('/search')
assert response.status_code == 302
assert response.headers['location'] == 'http://localhost:80/error/2'
def test_empty_domains_... | 0.494873 | 0.352536 |
import os
import sys
import glob
import time
import copy
import random
import numpy as np
import torch
import utils
import logging
import argparse
import torch.nn as nn
import torch.utils
import torch.nn.functional as F
from torch import Tensor
import torchvision.datasets as dset
import torch.backends.cudnn as cudnn
fr... | NAO/NAO_V2/train_cifar.py | import os
import sys
import glob
import time
import copy
import random
import numpy as np
import torch
import utils
import logging
import argparse
import torch.nn as nn
import torch.utils
import torch.nn.functional as F
from torch import Tensor
import torchvision.datasets as dset
import torch.backends.cudnn as cudnn
fr... | 0.630002 | 0.101056 |
import os
import requests
from pymessenger2 import Element, QuickReply
from pymessenger2.buttons import URLButton, PostbackButton
from pymessenger2.bot import Bot
TOKEN = os.environ.get('TOKEN')
APP_SECRET = os.environ.get('APP_SECRET')
bot = Bot(TOKEN, app_secret=APP_SECRET)
recipient_id = os.environ.get('RECIPIEN... | test/bot_test.py | import os
import requests
from pymessenger2 import Element, QuickReply
from pymessenger2.buttons import URLButton, PostbackButton
from pymessenger2.bot import Bot
TOKEN = os.environ.get('TOKEN')
APP_SECRET = os.environ.get('APP_SECRET')
bot = Bot(TOKEN, app_secret=APP_SECRET)
recipient_id = os.environ.get('RECIPIEN... | 0.328529 | 0.266838 |
from __future__ import division, print_function, absolute_import
import numpy as np
from alpharotate.utils.pretrain_zoo import PretrainModelZoo
from configs._base_.models.retinanet_r50_fpn import *
from configs._base_.datasets.dota_detection import *
from configs._base_.schedules.schedule_1x import *
# schedule
BATC... | configs/DIOR-R/rsdet/cfgs_res50_dior_r_rsdet_v2.py | from __future__ import division, print_function, absolute_import
import numpy as np
from alpharotate.utils.pretrain_zoo import PretrainModelZoo
from configs._base_.models.retinanet_r50_fpn import *
from configs._base_.datasets.dota_detection import *
from configs._base_.schedules.schedule_1x import *
# schedule
BATC... | 0.603815 | 0.164752 |
from autoslug import AutoSlugField
from django.contrib.auth import get_user_model
from django.core.validators import MinValueValidator
from django.db import models
User = get_user_model()
class Ingredient(models.Model):
title = models.CharField(
'Название ингредиента',
max_length=256,
db_... | recipes/models.py | from autoslug import AutoSlugField
from django.contrib.auth import get_user_model
from django.core.validators import MinValueValidator
from django.db import models
User = get_user_model()
class Ingredient(models.Model):
title = models.CharField(
'Название ингредиента',
max_length=256,
db_... | 0.416203 | 0.201479 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from .constant import Constant
__NR_osf_syscall = Constant('__NR_osf_syscall',0)
__NR_exit = Constant('__NR_exit',1)
__NR_fork = Constant('__NR_fork',2)
__NR_read = Cons... | pwndbg/constants/alpha.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from .constant import Constant
__NR_osf_syscall = Constant('__NR_osf_syscall',0)
__NR_exit = Constant('__NR_exit',1)
__NR_fork = Constant('__NR_fork',2)
__NR_read = Cons... | 0.414899 | 0.060169 |
class DoublyLinkedList:
class Node:
def __init__(self, value):
self.value = value
self.prevNode = None
self.nextNode = None
def __repr__(self):
return "[{}]".format(self.value)
def __init__(self, iterable):
if len(iterable) == 0:
... | Data-Structures/Linked Lists/Doubly Linked List/src.py | class DoublyLinkedList:
class Node:
def __init__(self, value):
self.value = value
self.prevNode = None
self.nextNode = None
def __repr__(self):
return "[{}]".format(self.value)
def __init__(self, iterable):
if len(iterable) == 0:
... | 0.799481 | 0.374562 |
import numpy
def chi_square_test(observed, expected, alpha=0.05, df=None):
"""Testing Goodness-of-fit Test with Peason's Chi-squared Test.
Args:
observed (list of ints): List of # of counts each element is observed.
expected (list of floats): List of # of counts each element is expected
... | cupy/testing/hypothesis.py | import numpy
def chi_square_test(observed, expected, alpha=0.05, df=None):
"""Testing Goodness-of-fit Test with Peason's Chi-squared Test.
Args:
observed (list of ints): List of # of counts each element is observed.
expected (list of floats): List of # of counts each element is expected
... | 0.875368 | 0.594551 |
import os
from nose.tools import assert_raises, assert_true, assert_equal
import numpy as np
from numpy.testing import (assert_array_equal, assert_array_almost_equal,
assert_array_less)
from mne.transforms import apply_trans, rotation, translation, scaling
from mne.coreg import (fit_matched... | mne/tests/test_coreg.py | import os
from nose.tools import assert_raises, assert_true, assert_equal
import numpy as np
from numpy.testing import (assert_array_equal, assert_array_almost_equal,
assert_array_less)
from mne.transforms import apply_trans, rotation, translation, scaling
from mne.coreg import (fit_matched... | 0.581897 | 0.525247 |
from typing import Dict, Any
import tensorflow as tf
from .utils.bert_self_attention import BertConfig, BertModel
from .masked_seq_encoder import MaskedSeqEncoder
from utils.tfutils import get_activation, pool_sequence_embedding
class ConvSelfAttentionEncoder(MaskedSeqEncoder):
@classmethod
def get_default_... | src/encoders/conv_self_att_encoder.py | from typing import Dict, Any
import tensorflow as tf
from .utils.bert_self_attention import BertConfig, BertModel
from .masked_seq_encoder import MaskedSeqEncoder
from utils.tfutils import get_activation, pool_sequence_embedding
class ConvSelfAttentionEncoder(MaskedSeqEncoder):
@classmethod
def get_default_... | 0.943302 | 0.184051 |
import numpy as np
import torch
import torch.nn as nn
from layers import masked_cross_entropy
from utils import to_var
import os
from tqdm import tqdm
from math import isnan
import codecs
import sys
from .solver import Solver
class SolverHRED(Solver):
def __init__(self, config, train_data_loader, eval_data_loader... | NCM/solvers/hred_solver.py | import numpy as np
import torch
import torch.nn as nn
from layers import masked_cross_entropy
from utils import to_var
import os
from tqdm import tqdm
from math import isnan
import codecs
import sys
from .solver import Solver
class SolverHRED(Solver):
def __init__(self, config, train_data_loader, eval_data_loader... | 0.588416 | 0.328987 |
ansi_colors = {
"reset": "\033[0m",
"black": "\033[0;30m",
"dark_gray": "\033[1;30m",
"blue": "\033[0;34m",
"bright_blue": "\033[1;34m",
"green": "\033[0;32m",
"bright_green": "\033[1;32m",
"cyan": "\033[0;36m",
"bright_cyan": "\033[1;36m",
"red": "\033[0;31m",
"bright_red"... | frida_hooks/colors.py |
ansi_colors = {
"reset": "\033[0m",
"black": "\033[0;30m",
"dark_gray": "\033[1;30m",
"blue": "\033[0;34m",
"bright_blue": "\033[1;34m",
"green": "\033[0;32m",
"bright_green": "\033[1;32m",
"cyan": "\033[0;36m",
"bright_cyan": "\033[1;36m",
"red": "\033[0;31m",
"bright_red"... | 0.336985 | 0.198278 |
import logging
from django.utils.log import AdminEmailHandler, RequireDebugTrue, RequireDebugFalse
from logging.handlers import RotatingFileHandler
from logging import StreamHandler
from boto3.session import Session
from .filters import TimestampFilter, ExecpathFilter
from .logstash_handler import SocketLogstashHandl... | django_logging/loggers.py | import logging
from django.utils.log import AdminEmailHandler, RequireDebugTrue, RequireDebugFalse
from logging.handlers import RotatingFileHandler
from logging import StreamHandler
from boto3.session import Session
from .filters import TimestampFilter, ExecpathFilter
from .logstash_handler import SocketLogstashHandl... | 0.260766 | 0.047184 |
import tensorflow as tf
import os
import time
import webbrowser
from multiprocessing import Process
def _HERE(*args):
h = os.path.dirname(os.path.realpath(__file__))
return os.path.join(h, *args)
def get_path_to_ingestion_program(starting_kit_dir):
return os.path.join(starting_kit_dir,
... | codalab_competition_bundle/AutoDL_starting_kit/run_local_test.py | import tensorflow as tf
import os
import time
import webbrowser
from multiprocessing import Process
def _HERE(*args):
h = os.path.dirname(os.path.realpath(__file__))
return os.path.join(h, *args)
def get_path_to_ingestion_program(starting_kit_dir):
return os.path.join(starting_kit_dir,
... | 0.444565 | 0.081776 |
from __future__ import annotations
from dataclasses import InitVar, dataclass, field
from datetime import date, datetime
from itertools import chain
from typing import Any, ClassVar, Dict, Generic, List, Optional, Set, TypeVar, Union
from .. import schema as oai
from .. import utils
from .errors import PropertyError,... | openapi_python_client/parser/properties.py | from __future__ import annotations
from dataclasses import InitVar, dataclass, field
from datetime import date, datetime
from itertools import chain
from typing import Any, ClassVar, Dict, Generic, List, Optional, Set, TypeVar, Union
from .. import schema as oai
from .. import utils
from .errors import PropertyError,... | 0.91267 | 0.312082 |
import streamlit as st
def app():
header = """
<div align="center">
<h1>Online Quantum Lab</h1>
Here an online version of my Docker images for <b>Quantum development</b> and <b>Quantum experiments</b>.
This platform is only for prototype, testing experiments and science <b>vulgarisati... | quantum_lab/streamlit/quantum_lab.py | import streamlit as st
def app():
header = """
<div align="center">
<h1>Online Quantum Lab</h1>
Here an online version of my Docker images for <b>Quantum development</b> and <b>Quantum experiments</b>.
This platform is only for prototype, testing experiments and science <b>vulgarisati... | 0.477311 | 0.84124 |
import pandas as pd
import numpy as np
import sklearn
from sklearn import linear_model
import pickle
import time
import constant
import matplotlib.pyplot as pyplot
from matplotlib.colors import from_levels_and_colors
from mpl_toolkits.mplot3d import axes3d, Axes3D
'''
Created by <NAME>
Project for Adv Game Design Moun... | main.py | import pandas as pd
import numpy as np
import sklearn
from sklearn import linear_model
import pickle
import time
import constant
import matplotlib.pyplot as pyplot
from matplotlib.colors import from_levels_and_colors
from mpl_toolkits.mplot3d import axes3d, Axes3D
'''
Created by <NAME>
Project for Adv Game Design Moun... | 0.49292 | 0.482856 |
from collections import OrderedDict
from functools import lru_cache
from django.conf import settings
from utility.data import sorted_keys
import copy
class AppOptions(object):
def __init__(self, command):
self.command = command
self.config = {}
self._options = {}
self.parser_sp... | app/systems/commands/options.py | from collections import OrderedDict
from functools import lru_cache
from django.conf import settings
from utility.data import sorted_keys
import copy
class AppOptions(object):
def __init__(self, command):
self.command = command
self.config = {}
self._options = {}
self.parser_sp... | 0.533397 | 0.086864 |
import logging
from mapreduce.lib.files import file as files
from mapreduce.lib.files import blobstore
from mapreduce.lib.files import file_service_pb
from google.appengine.runtime import apiproxy_errors
__all__ = [
'shuffle',
'available',
]
class ShufflerUnavailableError(files.Erro... | deps/mrtaskman/server/mapreduce/lib/files/shuffler.py | import logging
from mapreduce.lib.files import file as files
from mapreduce.lib.files import blobstore
from mapreduce.lib.files import file_service_pb
from google.appengine.runtime import apiproxy_errors
__all__ = [
'shuffle',
'available',
]
class ShufflerUnavailableError(files.Erro... | 0.585457 | 0.092565 |
import numpy as np
from skimage import io
import numpy as np
import matplotlib.pyplot as plt
import random
import math
# Python3 code for generating points on a 3-D line
# using Bresenham's Algorithm
# source: https://www.geeksforgeeks.org/bresenhams-algorithm-for-3-d-line-drawing/
def bresenham_3d(x1, y1, z1, x2, y2... | obsolete/voxel_raycast.py | import numpy as np
from skimage import io
import numpy as np
import matplotlib.pyplot as plt
import random
import math
# Python3 code for generating points on a 3-D line
# using Bresenham's Algorithm
# source: https://www.geeksforgeeks.org/bresenhams-algorithm-for-3-d-line-drawing/
def bresenham_3d(x1, y1, z1, x2, y2... | 0.292494 | 0.684495 |
def JSONPathList():
JSONPath = list()
# hope-boot is license compliant
JSONPath.append('json/hope-boot.json')
# spotify-docker-maven-plugin uses only Apache 2.0, so it is compliant
JSONPath.append('json/spotify-docker-maven-plugin.json')
# spotify:dockerfile-maven-plugin uses only Apache 2.0, ... | src/LCV/LCVlib/testlistsJSONfiles.py | def JSONPathList():
JSONPath = list()
# hope-boot is license compliant
JSONPath.append('json/hope-boot.json')
# spotify-docker-maven-plugin uses only Apache 2.0, so it is compliant
JSONPath.append('json/spotify-docker-maven-plugin.json')
# spotify:dockerfile-maven-plugin uses only Apache 2.0, ... | 0.276495 | 0.076857 |
import asyncio
import discord
from discord.ext import commands
class Automod(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.guild = self.bot.get_guild(799974967504535572)
@commands.Cog.listener()
async def on_ready(self):
print(f"{self.__class__.__name__} Cog has bee... | cogs/automod.py | import asyncio
import discord
from discord.ext import commands
class Automod(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.guild = self.bot.get_guild(799974967504535572)
@commands.Cog.listener()
async def on_ready(self):
print(f"{self.__class__.__name__} Cog has bee... | 0.218836 | 0.079854 |
import datetime
from os import path
from unittest.mock import patch
import pytest
import pytz
import voluptuous as vol
from homeassistant import config as hass_config
from homeassistant.components import input_boolean, switch
from homeassistant.components.climate.const import (
ATTR_PRESET_MODE,
DOMAIN,
H... | tests/components/generic_thermostat/test_climate.py | import datetime
from os import path
from unittest.mock import patch
import pytest
import pytz
import voluptuous as vol
from homeassistant import config as hass_config
from homeassistant.components import input_boolean, switch
from homeassistant.components.climate.const import (
ATTR_PRESET_MODE,
DOMAIN,
H... | 0.575707 | 0.396886 |
import sys
import numpy as np
from PySide2 import QtCore
from PySide2.QtCore import QObject, Slot, QAbstractItemModel, QModelIndex
from PySide2.QtGui import QStandardItemModel, QStandardItem
from PySide2.QtWidgets import QMainWindow, QAction, QApplication, QWidget, QHBoxLayout, QVBoxLayout, QPushButton, \
QTreeVie... | files/GUI/qt_mvc.py | import sys
import numpy as np
from PySide2 import QtCore
from PySide2.QtCore import QObject, Slot, QAbstractItemModel, QModelIndex
from PySide2.QtGui import QStandardItemModel, QStandardItem
from PySide2.QtWidgets import QMainWindow, QAction, QApplication, QWidget, QHBoxLayout, QVBoxLayout, QPushButton, \
QTreeVie... | 0.219087 | 0.149407 |
import sys
import unittest
from libcloud.utils.py3 import httplib
from libcloud.dns.types import ZoneDoesNotExistError
from libcloud.dns.types import RecordDoesNotExistError
from libcloud.dns.drivers.google import GoogleDNSDriver
from libcloud.common.google import (GoogleBaseAuthConnection,
... | libcloud/test/dns/test_google.py |
import sys
import unittest
from libcloud.utils.py3 import httplib
from libcloud.dns.types import ZoneDoesNotExistError
from libcloud.dns.types import RecordDoesNotExistError
from libcloud.dns.drivers.google import GoogleDNSDriver
from libcloud.common.google import (GoogleBaseAuthConnection,
... | 0.410756 | 0.157752 |
import unittest
from smtm import BithumbDataProvider
from unittest.mock import *
import requests
class BithumbDataProviderTests(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
@patch("requests.get")
def test_get_info_return_data_correctly(self, mock_get):
d... | tests/bithumb_data_provider_test.py | import unittest
from smtm import BithumbDataProvider
from unittest.mock import *
import requests
class BithumbDataProviderTests(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
@patch("requests.get")
def test_get_info_return_data_correctly(self, mock_get):
d... | 0.664758 | 0.458712 |
import os
import pytest
from ocean_lib.config_provider import ConfigProvider
from ocean_lib.enforce_typing_shim import enforce_types_shim
from ocean_lib.models import btoken
from ocean_lib.models.bfactory import BFactory
from ocean_lib.models.data_token import DataToken
from ocean_lib.models.dtfactory import DTFactory... | ocean_lib/models/test/conftest.py | import os
import pytest
from ocean_lib.config_provider import ConfigProvider
from ocean_lib.enforce_typing_shim import enforce_types_shim
from ocean_lib.models import btoken
from ocean_lib.models.bfactory import BFactory
from ocean_lib.models.data_token import DataToken
from ocean_lib.models.dtfactory import DTFactory... | 0.564339 | 0.272274 |
from typing import List, Optional
import numpy as np
import torch
import torch.nn as nn
from gluonts.core.component import validated
from gluonts.dataset.field_names import FieldName
from gluonts.torch.util import copy_parameters
from gluonts.torch.model.predictor import PyTorchPredictor
from gluonts.model.predictor ... | pts/model/lstnet/lstnet_estimator.py | from typing import List, Optional
import numpy as np
import torch
import torch.nn as nn
from gluonts.core.component import validated
from gluonts.dataset.field_names import FieldName
from gluonts.torch.util import copy_parameters
from gluonts.torch.model.predictor import PyTorchPredictor
from gluonts.model.predictor ... | 0.940305 | 0.344416 |
from awscrt.io import *
from test import NativeResourceTest, TIMEOUT
import io
import os
import sys
import unittest
class EventLoopGroupTest(NativeResourceTest):
def test_init_defaults(self):
event_loop_group = EventLoopGroup()
def test_1_thread(self):
event_loop_group = EventLoopGroup(1)
... | test/test_io.py |
from awscrt.io import *
from test import NativeResourceTest, TIMEOUT
import io
import os
import sys
import unittest
class EventLoopGroupTest(NativeResourceTest):
def test_init_defaults(self):
event_loop_group = EventLoopGroup()
def test_1_thread(self):
event_loop_group = EventLoopGroup(1)
... | 0.416678 | 0.232136 |
import re
from ..file import File
from ..plugin import Plugin
from ..parser import Parser
from ..system import system
from ..dialects import Dialect
from .. import exceptions
from .. import errors
# Plugin
class GsheetPlugin(Plugin):
"""Plugin for Google Sheets
API | Usage
-------- | --------
... | frictionless/plugins/gsheet.py | import re
from ..file import File
from ..plugin import Plugin
from ..parser import Parser
from ..system import system
from ..dialects import Dialect
from .. import exceptions
from .. import errors
# Plugin
class GsheetPlugin(Plugin):
"""Plugin for Google Sheets
API | Usage
-------- | --------
... | 0.622 | 0.223822 |
from __future__ import unicode_literals
from unittest import TestCase
from pandagg.node.query._parameter_clause import (
Boost,
Positive,
Negative,
NegativeBoost,
Filter,
Should,
)
from pandagg.node.query.term_level import Range
from pandagg.query import Bool, Term, Boosting
class CompoundQu... | tests/node/query/test_compound.py | from __future__ import unicode_literals
from unittest import TestCase
from pandagg.node.query._parameter_clause import (
Boost,
Positive,
Negative,
NegativeBoost,
Filter,
Should,
)
from pandagg.node.query.term_level import Range
from pandagg.query import Bool, Term, Boosting
class CompoundQu... | 0.758063 | 0.547343 |
from .misc import Misc
from .etf import ETF
from .stock import Stock
from .mutual_fund import MutualFund
from .treasury_bonds import TreasuryBond
from .currency import Currency
from .exceptions import *
from .enumerations import *
from decimal import *
from datetime import date
from decimal import Decimal
import yfina... | src/yayFinPy/portfolio.py |
from .misc import Misc
from .etf import ETF
from .stock import Stock
from .mutual_fund import MutualFund
from .treasury_bonds import TreasuryBond
from .currency import Currency
from .exceptions import *
from .enumerations import *
from decimal import *
from datetime import date
from decimal import Decimal
import yfina... | 0.766818 | 0.460835 |
from __future__ import annotations
from os import path, fsync
from subprocess import check_call
from glob import glob
import pickle
import toml
import typing as tp
# supported types for directory.load() and directory.dump()
DumpType = tp.Literal['pickle', 'npy', 'toml', 'json', None]
class Directory:
"""Direct... | nnodes/directory.py | from __future__ import annotations
from os import path, fsync
from subprocess import check_call
from glob import glob
import pickle
import toml
import typing as tp
# supported types for directory.load() and directory.dump()
DumpType = tp.Literal['pickle', 'npy', 'toml', 'json', None]
class Directory:
"""Direct... | 0.813868 | 0.206114 |
import logging
import logging.config
import socket
import sys
import structlog
from structlog.processors import CallsiteParameter
from structlog_sentry import SentryJsonProcessor
def _add_hostname(_, __, event_dict):
event_dict['host'] = socket.gethostname()
return event_dict
def _add_application_name(_, _... | structlog_wrapper/python/main.py | import logging
import logging.config
import socket
import sys
import structlog
from structlog.processors import CallsiteParameter
from structlog_sentry import SentryJsonProcessor
def _add_hostname(_, __, event_dict):
event_dict['host'] = socket.gethostname()
return event_dict
def _add_application_name(_, _... | 0.276397 | 0.124027 |
import operator
from six.moves import reduce
from django.db.models import Q
from iam.eval.constants import KEYWORD_BK_IAM_PATH_FIELD_SUFFIX, OP
from iam.eval.expression import field_value_convert
from .base import Converter
"""
表达式解析
convert expression to django queryset
"""
class DjangoQuerySetConverter(Convert... | iam/contrib/converter/queryset.py | import operator
from six.moves import reduce
from django.db.models import Q
from iam.eval.constants import KEYWORD_BK_IAM_PATH_FIELD_SUFFIX, OP
from iam.eval.expression import field_value_convert
from .base import Converter
"""
表达式解析
convert expression to django queryset
"""
class DjangoQuerySetConverter(Convert... | 0.531209 | 0.399636 |
from __future__ import unicode_literals
from django.test import TestCase
from django.core.urlresolvers import reverse
from rest_framework.test import APIClient, APITestCase
from django.contrib.auth.models import User
from .models import Profile
from . import factories
# Create your tests here.
class CreateUserTest(... | backend/src/users/tests.py | from __future__ import unicode_literals
from django.test import TestCase
from django.core.urlresolvers import reverse
from rest_framework.test import APIClient, APITestCase
from django.contrib.auth.models import User
from .models import Profile
from . import factories
# Create your tests here.
class CreateUserTest(... | 0.414899 | 0.140425 |
from pathlib import Path
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import Divider, Size
from scipy.optimize import curve_fit
import pandas as pd
# This script reads in the output of
# 'nigericin_monensin_combo_by_cell.py', which processes the lifetime
# image data for the nigerici... | figures/fig1_Scarlet_pH_sensitivity/nigericin_monensin/plot_nigericin_monensin_by_cell.py | from pathlib import Path
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import Divider, Size
from scipy.optimize import curve_fit
import pandas as pd
# This script reads in the output of
# 'nigericin_monensin_combo_by_cell.py', which processes the lifetime
# image data for the nigerici... | 0.648132 | 0.551996 |
MV_FLAG = 4096 # Multi-value flag
PT_UNSPECIFIED = 0
PT_NULL = 1
PT_I2 = 2
PT_LONG = 3
PT_R4 = 4
PT_DOUBLE = 5
PT_CURRENCY = 6
PT_APPTIME = 7
PT_ERROR = 10
PT_BOOLEAN = 11
PT_OBJECT = 13
PT_I8 = 20
PT_STRING8 = 30
PT_UNICODE = 31
PT_SYSTIME = 64
PT_CLSID = 72
PT_BINARY = 258
PT_SHORT = PT_I2
PT_I4 = PT_LONG
PT_FLOAT... | venv/Lib/site-packages/win32comext/mapi/mapitags.py | MV_FLAG = 4096 # Multi-value flag
PT_UNSPECIFIED = 0
PT_NULL = 1
PT_I2 = 2
PT_LONG = 3
PT_R4 = 4
PT_DOUBLE = 5
PT_CURRENCY = 6
PT_APPTIME = 7
PT_ERROR = 10
PT_BOOLEAN = 11
PT_OBJECT = 13
PT_I8 = 20
PT_STRING8 = 30
PT_UNICODE = 31
PT_SYSTIME = 64
PT_CLSID = 72
PT_BINARY = 258
PT_SHORT = PT_I2
PT_I4 = PT_LONG
PT_FLOAT... | 0.188511 | 0.100967 |
import numpy as np
from sklearn.metrics import roc_auc_score
def evaluation_auc(task, explanations, explanation_labels, indices):
"""Determines based on the task which auc evaluation method should be called to determine the AUC score
:param task: str either "node" or "graph".
:param explanations: predict... | scripts/BI/pyro_model/testing/ExplanationEvaluation/evaluation/utils.py | import numpy as np
from sklearn.metrics import roc_auc_score
def evaluation_auc(task, explanations, explanation_labels, indices):
"""Determines based on the task which auc evaluation method should be called to determine the AUC score
:param task: str either "node" or "graph".
:param explanations: predict... | 0.905338 | 0.801276 |
import os
import re
import time
import shutil
import pathlib
import librosa
import argparse
import importlib
from shutil import copyfile
from multiprocessing import Pool
import json
import numpy as np
import pandas as pd
from scipy.io import wavfile
from tqdm import tqdm
# Parse args
parser = argparse.ArgumentParser(... | preprocess.py | import os
import re
import time
import shutil
import pathlib
import librosa
import argparse
import importlib
from shutil import copyfile
from multiprocessing import Pool
import json
import numpy as np
import pandas as pd
from scipy.io import wavfile
from tqdm import tqdm
# Parse args
parser = argparse.ArgumentParser(... | 0.500488 | 0.156008 |
from datadog_api_client.v1.model_utils import (
ModelNormal,
cached_property,
)
def lazy_import():
from datadog_api_client.v1.model.organization_billing import OrganizationBilling
from datadog_api_client.v1.model.organization_settings import OrganizationSettings
from datadog_api_client.v1.model.... | code/venv/lib/python3.8/site-packages/datadog_api_client/v1/model/organization.py |
from datadog_api_client.v1.model_utils import (
ModelNormal,
cached_property,
)
def lazy_import():
from datadog_api_client.v1.model.organization_billing import OrganizationBilling
from datadog_api_client.v1.model.organization_settings import OrganizationSettings
from datadog_api_client.v1.model.... | 0.77586 | 0.156298 |
from collections import defaultdict
import re
from flask_assets import Bundle
from webassets.filter import Filter, register_filter
# Version is not used here but is made available for others to import from
from semantic_version import SimpleSpec, Version
_VERSION_SPECIFIER_RE = re.compile('[<=>!*]')
__all__ = ['Ver... | coaster/assets.py | from collections import defaultdict
import re
from flask_assets import Bundle
from webassets.filter import Filter, register_filter
# Version is not used here but is made available for others to import from
from semantic_version import SimpleSpec, Version
_VERSION_SPECIFIER_RE = re.compile('[<=>!*]')
__all__ = ['Ver... | 0.645008 | 0.146362 |
from pathlib import Path
from textwrap import dedent
from unittest import mock
from unittest.mock import PropertyMock
import responses
from flake8_nitpick.constants import TOML_EXTENSION
from tests.conftest import TEMP_ROOT_PATH
from tests.helpers import ProjectMock
def test_multiple_styles_overriding_values(reques... | tests/test_style.py | from pathlib import Path
from textwrap import dedent
from unittest import mock
from unittest.mock import PropertyMock
import responses
from flake8_nitpick.constants import TOML_EXTENSION
from tests.conftest import TEMP_ROOT_PATH
from tests.helpers import ProjectMock
def test_multiple_styles_overriding_values(reques... | 0.836955 | 0.410461 |
import argparse
from datetime import (
datetime,
timedelta
)
import time
from google.cloud import spanner
# [START spanner_create_backup]
def create_backup(instance_id, database_id, backup_id):
"""Creates a backup for a database."""
spanner_client = spanner.Client()
instance = spanner_client.inst... | spanner/cloud-client/backup_sample.py | import argparse
from datetime import (
datetime,
timedelta
)
import time
from google.cloud import spanner
# [START spanner_create_backup]
def create_backup(instance_id, database_id, backup_id):
"""Creates a backup for a database."""
spanner_client = spanner.Client()
instance = spanner_client.inst... | 0.460289 | 0.156523 |
from django.test import TestCase
from django.db import models
from django.core import mail
from django.contrib.auth import get_user_model
from ..models import Blog, Post, Subscription, Feed
class BlogModelTest(TestCase):
fixtures = ['initial_data.json']
def test_author_label(self):
blog = Blog.objec... | pet_blog/blog/tests/test_models.py | from django.test import TestCase
from django.db import models
from django.core import mail
from django.contrib.auth import get_user_model
from ..models import Blog, Post, Subscription, Feed
class BlogModelTest(TestCase):
fixtures = ['initial_data.json']
def test_author_label(self):
blog = Blog.objec... | 0.507812 | 0.175556 |
from __future__ import print_function
import os
import sys
import numpy as np
import torch
import random
from torch.autograd import Variable
from torch.nn.parameter import Parameter
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from tqdm import tqdm
import networkx as nx
sys.path.a... | adversarialRobustness_Component/code/common/graph_embedding.py | from __future__ import print_function
import os
import sys
import numpy as np
import torch
import random
from torch.autograd import Variable
from torch.nn.parameter import Parameter
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from tqdm import tqdm
import networkx as nx
sys.path.a... | 0.77552 | 0.332846 |
from generalFunctions import *
from helrClassifier import *
from bioPerformance import *
import multiprocessing as mp
import pickle
from datetime import datetime
import gc
from itertools import repeat
def main():
now = datetime.now()
timeTag = now.strftime("%d%m%Y_%H%M%S")
datasetTables = 'CelebA'... | crossValidateHELRvsLLRvsCosine.py | from generalFunctions import *
from helrClassifier import *
from bioPerformance import *
import multiprocessing as mp
import pickle
from datetime import datetime
import gc
from itertools import repeat
def main():
now = datetime.now()
timeTag = now.strftime("%d%m%Y_%H%M%S")
datasetTables = 'CelebA'... | 0.475118 | 0.232844 |
import weechat, os, string, sys, logging, json, requests
weechat.register("notifyd", "pbui", "0.0.1", "ISC", "notifyd - A notifyd script for weechat", "", "")
# Set up here, go no further!
settings = {
"show_highlight" : "on",
"show_priv_msg" : "on",
"show_channels" : "",
"ignore_nicks" ... | scripts/notifyd-weechat.py |
import weechat, os, string, sys, logging, json, requests
weechat.register("notifyd", "pbui", "0.0.1", "ISC", "notifyd - A notifyd script for weechat", "", "")
# Set up here, go no further!
settings = {
"show_highlight" : "on",
"show_priv_msg" : "on",
"show_channels" : "",
"ignore_nicks" ... | 0.269037 | 0.128936 |
from typing import Any, Dict, Tuple, Mapping, Optional
from abc import ABC
from copy import copy
from types import MappingProxyType
import scanpy as sc
from cellrank.tl._enum import ModeEnum
from cellrank.ul._docs import d
from cellrank.tl._utils import _normalize
from cellrank.tl.kernels import Kernel
from cellrank.... | cellrank/tl/kernels/_exp_time_kernel.py | from typing import Any, Dict, Tuple, Mapping, Optional
from abc import ABC
from copy import copy
from types import MappingProxyType
import scanpy as sc
from cellrank.tl._enum import ModeEnum
from cellrank.ul._docs import d
from cellrank.tl._utils import _normalize
from cellrank.tl.kernels import Kernel
from cellrank.... | 0.918868 | 0.295446 |
import logging
import os
import yaml
from cekit.config import Config
from cekit.descriptor import Descriptor
from cekit.descriptor.resource import create_resource
from cekit.errors import CekitError
logger = logging.getLogger('cekit')
config = Config()
packages_schema = yaml.safe_load("""
map:
content_sets: {type... | cekit/descriptor/packages.py | import logging
import os
import yaml
from cekit.config import Config
from cekit.descriptor import Descriptor
from cekit.descriptor.resource import create_resource
from cekit.errors import CekitError
logger = logging.getLogger('cekit')
config = Config()
packages_schema = yaml.safe_load("""
map:
content_sets: {type... | 0.60743 | 0.142351 |
import socket
import struct
import sys
from collections import namedtuple
FullCone = "Full Cone" # 0
RestrictNAT = "Restrict NAT" # 1
RestrictPortNAT = "Restrict Port NAT" # 2
SymmetricNAT = "Symmetric NAT" # 3
UnknownNAT = "Unknown NAT" # 4
NATTYPE = (FullCone, RestrictNAT, RestrictPortNAT, SymmetricNAT, UnknownNA... | server.py |
import socket
import struct
import sys
from collections import namedtuple
FullCone = "Full Cone" # 0
RestrictNAT = "Restrict NAT" # 1
RestrictPortNAT = "Restrict Port NAT" # 2
SymmetricNAT = "Symmetric NAT" # 3
UnknownNAT = "Unknown NAT" # 4
NATTYPE = (FullCone, RestrictNAT, RestrictPortNAT, SymmetricNAT, UnknownNA... | 0.196749 | 0.145996 |
from smtplib import SMTPRecipientsRefused
from flask import render_template, request, redirect, url_for, flash
from flask_login import login_required, current_user
from flask_wtf import FlaskForm
from itsdangerous import Signer
from wtforms import validators
from wtforms.fields.html5 import EmailField
from app.config... | app/dashboard/views/mailbox_detail.py | from smtplib import SMTPRecipientsRefused
from flask import render_template, request, redirect, url_for, flash
from flask_login import login_required, current_user
from flask_wtf import FlaskForm
from itsdangerous import Signer
from wtforms import validators
from wtforms.fields.html5 import EmailField
from app.config... | 0.296552 | 0.066569 |
# imports
import Boost.Python as __Boost_Python
# Variables with simple values
__version__ = '1.0.0'
# functions
def get_solver(p_str, *args, **kwargs): # real signature unknown; NOTE: unreliably restored from __doc__
"""
get_solver( (str)arg1) -> Solver :
C++ signature :
caffe::... | _caffe.py |
# imports
import Boost.Python as __Boost_Python
# Variables with simple values
__version__ = '1.0.0'
# functions
def get_solver(p_str, *args, **kwargs): # real signature unknown; NOTE: unreliably restored from __doc__
"""
get_solver( (str)arg1) -> Solver :
C++ signature :
caffe::... | 0.627495 | 0.170422 |
from tornado import ioloop, httpclient, gen
from tornado.gen import Task
import pdb, time, logging
import tornado.ioloop
import tornado.iostream
import socket
#Init logging
def init_logging():
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
sh = logging.StreamHandler()
formatter = loggin... | tcp_client.py |
from tornado import ioloop, httpclient, gen
from tornado.gen import Task
import pdb, time, logging
import tornado.ioloop
import tornado.iostream
import socket
#Init logging
def init_logging():
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
sh = logging.StreamHandler()
formatter = loggin... | 0.24817 | 0.046098 |
from base.models import Strain
from base.utils.decorators import jsonify_request
from sqlalchemy import or_
from flask import request
from logzero import logger
from flask import Blueprint
api_strain_bp = Blueprint('api_strain',
__name__,
template_folder='api')
@a... | base/views/api/api_strain.py | from base.models import Strain
from base.utils.decorators import jsonify_request
from sqlalchemy import or_
from flask import request
from logzero import logger
from flask import Blueprint
api_strain_bp = Blueprint('api_strain',
__name__,
template_folder='api')
@a... | 0.819893 | 0.267324 |
from textwrap import dedent
from pants.backend.docgen.targets.doc import Page, Wiki, WikiArtifact
from pants.base.build_environment import get_buildroot
from pants.build_graph.address import Address
from pants.build_graph.address_lookup_error import AddressLookupError
from pants.build_graph.build_file_aliases import ... | tests/python/pants_test/backend/docgen/targets/test_wiki_page.py |
from textwrap import dedent
from pants.backend.docgen.targets.doc import Page, Wiki, WikiArtifact
from pants.base.build_environment import get_buildroot
from pants.build_graph.address import Address
from pants.build_graph.address_lookup_error import AddressLookupError
from pants.build_graph.build_file_aliases import ... | 0.664867 | 0.288557 |
from django import forms
from django.contrib.auth import get_user_model
from django.test import Client, TestCase
from django.urls import reverse
User = get_user_model()
class ViewTest(TestCase):
@classmethod
def setUpClass(cls):
super().setUpClass()
cls.user = User.objects.create(username='us... | yatube/users/tests/test_views.py | from django import forms
from django.contrib.auth import get_user_model
from django.test import Client, TestCase
from django.urls import reverse
User = get_user_model()
class ViewTest(TestCase):
@classmethod
def setUpClass(cls):
super().setUpClass()
cls.user = User.objects.create(username='us... | 0.417509 | 0.122418 |
import random
import time
import os
import tkinter as tk
from tkinter import messagebox
# =============================================================================
def merge(left,right):
sorted_list=[]
i,j=0,0
while i<len(left) and j<len(right):
if left[i] < right[j]:
... | DAA_Project_Sorts.py | import random
import time
import os
import tkinter as tk
from tkinter import messagebox
# =============================================================================
def merge(left,right):
sorted_list=[]
i,j=0,0
while i<len(left) and j<len(right):
if left[i] < right[j]:
... | 0.156975 | 0.118334 |
import numpy as np
from sklearn.neighbors import LocalOutlierFactor
from .BaseDetector import BaseDetector
from .utils.validation import check_X_y
# -------------
# CLASSES
# -------------
class LOF(BaseDetector):
""" Local outlier factor (LOF).
Parameters
----------
k : int (default=10)
N... | anomaly_detection/LOF.py |
import numpy as np
from sklearn.neighbors import LocalOutlierFactor
from .BaseDetector import BaseDetector
from .utils.validation import check_X_y
# -------------
# CLASSES
# -------------
class LOF(BaseDetector):
""" Local outlier factor (LOF).
Parameters
----------
k : int (default=10)
N... | 0.951085 | 0.721719 |
from .constants import ROW_LENGTHS, N_ROWS, N_ELEMENTS, LEAD, GOLD, PAIRS, SILVER, QUICKSILVER, LETTERS, NAMES
import numpy as np
def neighbours(row, column):
"""
Auxiliary function to calculate the neighbours to a given position
:param row:
:param column:
:return: list of positions
"""
if... | bot/board.py | from .constants import ROW_LENGTHS, N_ROWS, N_ELEMENTS, LEAD, GOLD, PAIRS, SILVER, QUICKSILVER, LETTERS, NAMES
import numpy as np
def neighbours(row, column):
"""
Auxiliary function to calculate the neighbours to a given position
:param row:
:param column:
:return: list of positions
"""
if... | 0.661814 | 0.555857 |
import infotrope.managesieve
import polymer.encode
import polymer.dialogs
import wx
"""Classes for handling and editing SIEVE scripts."""
class sieve_open(polymer.dialogs.Base):
def __init__( self, parent, sieve ):
self._sieve = sieve
self.script = None
polymer.dialogs.Base.__init__( self,... | polymer/sieve.py | import infotrope.managesieve
import polymer.encode
import polymer.dialogs
import wx
"""Classes for handling and editing SIEVE scripts."""
class sieve_open(polymer.dialogs.Base):
def __init__( self, parent, sieve ):
self._sieve = sieve
self.script = None
polymer.dialogs.Base.__init__( self,... | 0.401219 | 0.06276 |
from OTLMOW.OTLModel.Datatypes.KeuzelijstField import KeuzelijstField
from OTLMOW.OTLModel.Datatypes.KeuzelijstWaarde import KeuzelijstWaarde
# Generated with OTLEnumerationCreator. To modify: extend, do not edit
class KlSteenslagType(KeuzelijstField):
"""Steenslag types."""
naam = 'KlSteenslagType'
label... | src/OTLMOW/OTLModel/Datatypes/KlSteenslagType.py | from OTLMOW.OTLModel.Datatypes.KeuzelijstField import KeuzelijstField
from OTLMOW.OTLModel.Datatypes.KeuzelijstWaarde import KeuzelijstWaarde
# Generated with OTLEnumerationCreator. To modify: extend, do not edit
class KlSteenslagType(KeuzelijstField):
"""Steenslag types."""
naam = 'KlSteenslagType'
label... | 0.454472 | 0.183338 |
import pytest
import xarray as xr
from roocs_utils.parameter.param_utils import time_interval
from clisops import CONFIG
from clisops.ops.subset import subset
from clisops.utils.file_namers import get_file_namer
from tests._common import C3S_CORDEX_NAM_PR, CMIP5_TAS, CMIP6_SICONC
def test_SimpleFileNamer():
s = ... | tests/test_file_namers.py | import pytest
import xarray as xr
from roocs_utils.parameter.param_utils import time_interval
from clisops import CONFIG
from clisops.ops.subset import subset
from clisops.utils.file_namers import get_file_namer
from tests._common import C3S_CORDEX_NAM_PR, CMIP5_TAS, CMIP6_SICONC
def test_SimpleFileNamer():
s = ... | 0.354321 | 0.460713 |
import os
import json
import requests
import subprocess
import discord
from dotenv import load_dotenv
load_dotenv()
TOKEN = os.getenv('DISCORD_TOKEN')
APIKEY = os.getenv('apiKey')
USERNAME = os.getenv('username')
PASSWORD = os.getenv('password')
#print('TOKEN = ',TOKEN)
client = discord.Client()
@client.event
asyn... | bricky.py | import os
import json
import requests
import subprocess
import discord
from dotenv import load_dotenv
load_dotenv()
TOKEN = os.getenv('DISCORD_TOKEN')
APIKEY = os.getenv('apiKey')
USERNAME = os.getenv('username')
PASSWORD = os.getenv('password')
#print('TOKEN = ',TOKEN)
client = discord.Client()
@client.event
asyn... | 0.064768 | 0.054929 |
from numpy import column_stack, sort
from numpy.random import random, standard_normal
# Enthought library imports
from enable.api import Component, ComponentEditor
from traits.api import HasTraits, Instance
from traitsui.api import Item, Group, View
# Chaco imports
from chaco.api import ArrayPlotData, Plot
from chaco... | examples/demo/basic/segment_plot.py | from numpy import column_stack, sort
from numpy.random import random, standard_normal
# Enthought library imports
from enable.api import Component, ComponentEditor
from traits.api import HasTraits, Instance
from traitsui.api import Item, Group, View
# Chaco imports
from chaco.api import ArrayPlotData, Plot
from chaco... | 0.669421 | 0.371906 |
import collections
class UnionFind(object):
def __init__(self, n):
self.set = range(n)
self.count = n
def find_set(self, x):
if self.set[x] != x:
self.set[x] = self.find_set(self.set[x]) # path compression.
return self.set[x]
def union_set(self, x, y):
... | Competitive Programming/Blind 75 Must Do Leetcode/Number of Islands.py |
import collections
class UnionFind(object):
def __init__(self, n):
self.set = range(n)
self.count = n
def find_set(self, x):
if self.set[x] != x:
self.set[x] = self.find_set(self.set[x]) # path compression.
return self.set[x]
def union_set(self, x, y):
... | 0.625896 | 0.353233 |
# Copyright 2017 Ericsson AB.
# For a full list of individual contributors, please see the commit history.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/lic... | examples/validate.py |
# Copyright 2017 Ericsson AB.
# For a full list of individual contributors, please see the commit history.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/lic... | 0.510008 | 0.137561 |
import threading
import traceback
import types
import weakref
from typing import Any, Set
# We use per-thread storage for the about stack.
_about = threading.local()
_about.stack = [None]
def _stack():
if not hasattr(_about, 'stack'):
_about.stack = [None]
return _about.stack
def current_info():
... | myia/info.py |
import threading
import traceback
import types
import weakref
from typing import Any, Set
# We use per-thread storage for the about stack.
_about = threading.local()
_about.stack = [None]
def _stack():
if not hasattr(_about, 'stack'):
_about.stack = [None]
return _about.stack
def current_info():
... | 0.860633 | 0.488466 |
# The latent state corresponds to the current estimate of the regression weights w.
# The observation model has the form
# p(y(t) | w(t), x(t)) = Gauss( C(t) * w(t), R(t))
# where C(t) = X(t,:) is the observation matrix for step t.
# The dynamics model has the form
# p(w(t) | w(t-1)) = Gauss(A * w(t-1), Q)
# where Q>... | jsl/demos/linreg_kf.py |
# The latent state corresponds to the current estimate of the regression weights w.
# The observation model has the form
# p(y(t) | w(t), x(t)) = Gauss( C(t) * w(t), R(t))
# where C(t) = X(t,:) is the observation matrix for step t.
# The dynamics model has the form
# p(w(t) | w(t-1)) = Gauss(A * w(t-1), Q)
# where Q>... | 0.955037 | 0.898188 |
import contextlib
import logging
import os
import shlex
import subprocess
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import Dict, List, Optional, Union
from coreapp.error import SandboxError
from django.conf import settings
logger = logging.getLogger(__name__)
class Sandbox(context... | backend/coreapp/sandbox.py | import contextlib
import logging
import os
import shlex
import subprocess
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import Dict, List, Optional, Union
from coreapp.error import SandboxError
from django.conf import settings
logger = logging.getLogger(__name__)
class Sandbox(context... | 0.601594 | 0.156266 |
import os
import io
import datetime
from aiohttp import ClientSession
import ksoftapi
import discord
from discord.ext import commands
from utils import canvas
bot = commands.Bot(command_prefix=commands.when_mentioned_or("~"),
description='Relatively simply awesome bot.',
case_... | hexbot.py | import os
import io
import datetime
from aiohttp import ClientSession
import ksoftapi
import discord
from discord.ext import commands
from utils import canvas
bot = commands.Bot(command_prefix=commands.when_mentioned_or("~"),
description='Relatively simply awesome bot.',
case_... | 0.276984 | 0.079389 |
# This program is licensed under the GNU Affero General Public License version 3.
# See LICENSE or go to <https://www.gnu.org/licenses/agpl-3.0.txt> for full license details.
import unittest
import tempfile
from pathlib import Path
import requests
from pyrodataset import utils
class DatasetsUtilsTester(unittest.Te... | test/test_datasets_utils.py |
# This program is licensed under the GNU Affero General Public License version 3.
# See LICENSE or go to <https://www.gnu.org/licenses/agpl-3.0.txt> for full license details.
import unittest
import tempfile
from pathlib import Path
import requests
from pyrodataset import utils
class DatasetsUtilsTester(unittest.Te... | 0.668988 | 0.523908 |
import pprint
# B.2. Data investigations with MongoDB ========================================
def get_db():
''' Creates connection to local MongoDB database.
'''
from pymongo import MongoClient
client = MongoClient('localhost:27017')
db = client.OpenStreetMap
return db
db = get... | queries.py |
import pprint
# B.2. Data investigations with MongoDB ========================================
def get_db():
''' Creates connection to local MongoDB database.
'''
from pymongo import MongoClient
client = MongoClient('localhost:27017')
db = client.OpenStreetMap
return db
db = get... | 0.360377 | 0.338323 |
import os
import shutil
import argparse
import numpy as np
import pandas as pd
import subprocess as sp
if __name__ == '__main__':
pa = argparse.ArgumentParser(description='Recount mCMV reads')
pa.add_argument('--sample', required=True,
help='What sample to analyze')
pa.add_argument('-... | mCMV/initial/recount_virus_reads_with_3utr.py | import os
import shutil
import argparse
import numpy as np
import pandas as pd
import subprocess as sp
if __name__ == '__main__':
pa = argparse.ArgumentParser(description='Recount mCMV reads')
pa.add_argument('--sample', required=True,
help='What sample to analyze')
pa.add_argument('-... | 0.339937 | 0.196171 |
def coco_generator(image_path):
images = []
for im_path in image_path:
im = imageio.imread(im_path)
# image_nbr = re.findall(r"[0-9]+", im_path)
im_path = str(im_path)
image_nbr = im_path[(im_path.rfind('/') + 1): im_path.rfind('.')]
last_slash_pos = im_path.rfind('/')
... | data/coco_generator.py | def coco_generator(image_path):
images = []
for im_path in image_path:
im = imageio.imread(im_path)
# image_nbr = re.findall(r"[0-9]+", im_path)
im_path = str(im_path)
image_nbr = im_path[(im_path.rfind('/') + 1): im_path.rfind('.')]
last_slash_pos = im_path.rfind('/')
... | 0.254694 | 0.381796 |
import unittest
import torch
from xautodl.xlayers import super_core
from xautodl import spaces
class TestSuperSimpleNorm(unittest.TestCase):
"""Test the super simple norm."""
def test_super_simple_norm(self):
out_features = spaces.Categorical(12, 24, 36)
bias = spaces.Categorical(True, False... | tests/test_super_norm.py | import unittest
import torch
from xautodl.xlayers import super_core
from xautodl import spaces
class TestSuperSimpleNorm(unittest.TestCase):
"""Test the super simple norm."""
def test_super_simple_norm(self):
out_features = spaces.Categorical(12, 24, 36)
bias = spaces.Categorical(True, False... | 0.846324 | 0.46308 |
import socket
import os
import tempfile
import glob
import json
import string
import zipfile
HEADER_SIZE = 10
CHUNK_SIZE = 4 * 1024
END_DELIMETER = "*END_OF_FILE*"
COMMAND_DELIMETER = "<END_OF_COMMAND>"
def zip_it(to_download):
# ziph is zipfile handle
if os.path.isdir(to_download):
zipped_name =... | core/connection/connection.py | import socket
import os
import tempfile
import glob
import json
import string
import zipfile
HEADER_SIZE = 10
CHUNK_SIZE = 4 * 1024
END_DELIMETER = "*END_OF_FILE*"
COMMAND_DELIMETER = "<END_OF_COMMAND>"
def zip_it(to_download):
# ziph is zipfile handle
if os.path.isdir(to_download):
zipped_name =... | 0.17434 | 0.081301 |
import os
import pickle
from copy import deepcopy
import pandas as pd
import numpy as np
from abc import ABCMeta,abstractmethod
from sklearn.svm import SVC
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier
from sklearn.neural_ne... | FAE/FeatureAnalysis/Classifier.py | import os
import pickle
from copy import deepcopy
import pandas as pd
import numpy as np
from abc import ABCMeta,abstractmethod
from sklearn.svm import SVC
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier
from sklearn.neural_ne... | 0.669529 | 0.289165 |
import datetime
import pandas as pd
import requests
from pydeflate.config import paths
from pydeflate.utils import base_year, oecd_codes, value_index, update_update_date
import warnings
warnings.simplefilter("ignore", Warning, lineno=1013)
def _get_zip(url: str) -> requests.models.Response:
"""Download Zip ... | pydeflate/get_data/oecd_data.py |
import datetime
import pandas as pd
import requests
from pydeflate.config import paths
from pydeflate.utils import base_year, oecd_codes, value_index, update_update_date
import warnings
warnings.simplefilter("ignore", Warning, lineno=1013)
def _get_zip(url: str) -> requests.models.Response:
"""Download Zip ... | 0.506836 | 0.218523 |
from django.conf import settings
from django.shortcuts import get_object_or_404
from ratelimit.decorators import ratelimit
from django.views.decorators.cache import never_cache
from django.utils.decorators import method_decorator
from spackmon.apps.main.tasks import (
update_build_status,
update_build_phase,... | spackmon/apps/api/views/builds.py |
from django.conf import settings
from django.shortcuts import get_object_or_404
from ratelimit.decorators import ratelimit
from django.views.decorators.cache import never_cache
from django.utils.decorators import method_decorator
from spackmon.apps.main.tasks import (
update_build_status,
update_build_phase,... | 0.757794 | 0.166675 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._inputs import *
__all__ = ['MembersArgs', 'Members']
@pulumi.input_type
class MembersArgs:
def __init__(__self__, *,
poo... | sdk/python/pulumi_openstack/loadbalancer/members.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._inputs import *
__all__ = ['MembersArgs', 'Members']
@pulumi.input_type
class MembersArgs:
def __init__(__self__, *,
poo... | 0.826292 | 0.188175 |
from constants import *
try:
LAYOUT_FILE
except NameError:
LAYOUT_FILE = ".layout.yml"
from PyQt5.QtCore import pyqtSlot, QPoint, QSize, QTimer
from PyQt5.QtGui import QIcon
from PyQt5.QtWidgets import QApplication, QDialog
import os, yaml
class AppletDialog(QDialog):
# _________________________________... | PyRelayControl/src/core/AppletDialog.py | from constants import *
try:
LAYOUT_FILE
except NameError:
LAYOUT_FILE = ".layout.yml"
from PyQt5.QtCore import pyqtSlot, QPoint, QSize, QTimer
from PyQt5.QtGui import QIcon
from PyQt5.QtWidgets import QApplication, QDialog
import os, yaml
class AppletDialog(QDialog):
# _________________________________... | 0.392453 | 0.07703 |
import asyncio
import itertools
import logging
from typing import Any, Callable, List, Optional
from uuid import uuid4
logger = logging.getLogger("sagah")
class SagaFailed(Exception):
"""Raised when a saga fails"""
def __init__(self, transaction: "SagaTransaction") -> None:
"""Initializes the SagaF... | sagah/saga.py |
import asyncio
import itertools
import logging
from typing import Any, Callable, List, Optional
from uuid import uuid4
logger = logging.getLogger("sagah")
class SagaFailed(Exception):
"""Raised when a saga fails"""
def __init__(self, transaction: "SagaTransaction") -> None:
"""Initializes the SagaF... | 0.898633 | 0.215867 |
import numpy as np
from datacube.storage._load import (
xr_load, _default_fuser
)
from datacube.api.core import Datacube
from datacube.testutils import mk_sample_dataset
from datacube.testutils.io import rio_slurp
from datacube.testutils.iodriver import mk_rio_driver, tee_new_load_context
def test_default_fuser... | tests/storage/test_storage_load.py | import numpy as np
from datacube.storage._load import (
xr_load, _default_fuser
)
from datacube.api.core import Datacube
from datacube.testutils import mk_sample_dataset
from datacube.testutils.io import rio_slurp
from datacube.testutils.iodriver import mk_rio_driver, tee_new_load_context
def test_default_fuser... | 0.417628 | 0.538194 |
from datetime import timedelta
import airflow
from airflow import DAG
try:
from common_step_factory import CommonStepFactory
except ImportError:
from shipyard_airflow.dags.common_step_factory import CommonStepFactory
"""update_site
The top-level orchestration DAG for updating a site using the Undercloud
pla... | src/bin/shipyard_airflow/shipyard_airflow/dags/update_site.py | from datetime import timedelta
import airflow
from airflow import DAG
try:
from common_step_factory import CommonStepFactory
except ImportError:
from shipyard_airflow.dags.common_step_factory import CommonStepFactory
"""update_site
The top-level orchestration DAG for updating a site using the Undercloud
pla... | 0.270288 | 0.231158 |
from collections import Counter
class SequentialStringIndexer(object):
'''Feature alphabet. Optional cutoff threshold; count is determined by the number of
calls to add() or setdefault() before calling freeze().'''
def __init__(self, cutoff=None):
self._s2i = {}
self._i2s = []
self... | scripts/streusle2.0_scripts/pyutil/ds/features.py | from collections import Counter
class SequentialStringIndexer(object):
'''Feature alphabet. Optional cutoff threshold; count is determined by the number of
calls to add() or setdefault() before calling freeze().'''
def __init__(self, cutoff=None):
self._s2i = {}
self._i2s = []
self... | 0.801625 | 0.22514 |
import logging
import os
import shlex
import socket
import subprocess
import time
from chainer_framework.timeout import timeout
from chainer import serializers
from container_support.app import TrainingEngine
import container_support as cs
from container_support.environment import TrainingEnvironment
logger = loggin... | src/chainer_framework/training.py | import logging
import os
import shlex
import socket
import subprocess
import time
from chainer_framework.timeout import timeout
from chainer import serializers
from container_support.app import TrainingEngine
import container_support as cs
from container_support.environment import TrainingEnvironment
logger = loggin... | 0.626924 | 0.293632 |
r"""
This module provides functions which are useful for running plug-ins.
"""
import sys
import os
import glob
import gen_print as gp
import gen_misc as gm
# Some help text that is common to more than one program.
plug_in_dir_paths_help_text = \
'This is a colon-separated list of plug-in directory paths. If o... | lib/gen_plug_in.py |
r"""
This module provides functions which are useful for running plug-ins.
"""
import sys
import os
import glob
import gen_print as gp
import gen_misc as gm
# Some help text that is common to more than one program.
plug_in_dir_paths_help_text = \
'This is a colon-separated list of plug-in directory paths. If o... | 0.442877 | 0.282871 |
import requests
import json
from django.core.urlresolvers import reverse
from django.shortcuts import render
from django.http.response import HttpResponse, HttpResponseRedirect
from datetime import datetime
from django.contrib import messages
from django.views.generic import TemplateView, ListView, CreateView
from dj... | interface_blockchain/transaction/views.py | import requests
import json
from django.core.urlresolvers import reverse
from django.shortcuts import render
from django.http.response import HttpResponse, HttpResponseRedirect
from datetime import datetime
from django.contrib import messages
from django.views.generic import TemplateView, ListView, CreateView
from dj... | 0.406155 | 0.05526 |
import os
from pathlib import Path
from elasticsearch import AsyncElasticsearch
from quart import Quart, redirect, request, render_template, safe_join, send_file
from lib.model.part import Part
STATIC_DIR = Path(__file__).parent / '_site'
async def serve(path: str):
p = safe_join(STATIC_DIR, path)
if p.is... | app.py |
import os
from pathlib import Path
from elasticsearch import AsyncElasticsearch
from quart import Quart, redirect, request, render_template, safe_join, send_file
from lib.model.part import Part
STATIC_DIR = Path(__file__).parent / '_site'
async def serve(path: str):
p = safe_join(STATIC_DIR, path)
if p.is... | 0.501953 | 0.188884 |
import pytest
from emspy.query import Airport
from mock_connection import MockConnection
from mock_ems import MockEMS
import pandas as pd
@pytest.fixture(scope='session')
def query():
c = MockConnection(user='', pwd='')
ems = MockEMS(c)
AirportQuery = Airport(c, ems.get_id())
return AirportQuery
def ... | tests/test_airport.py | import pytest
from emspy.query import Airport
from mock_connection import MockConnection
from mock_ems import MockEMS
import pandas as pd
@pytest.fixture(scope='session')
def query():
c = MockConnection(user='', pwd='')
ems = MockEMS(c)
AirportQuery = Airport(c, ems.get_id())
return AirportQuery
def ... | 0.653569 | 0.519643 |
import os
import unittest
from moto import mock_stepfunctions
from stepfunctions.steps.compute import GlueStartJobRunStep
from stepfunctions.steps.states import Parallel
from datajob.datajob_stack import DataJobStack
from datajob.stepfunctions import stepfunctions_workflow
from datajob.stepfunctions.stepfunctions_wor... | datajob_tests/stepfunctions/test_stepfunctions_workflow.py | import os
import unittest
from moto import mock_stepfunctions
from stepfunctions.steps.compute import GlueStartJobRunStep
from stepfunctions.steps.states import Parallel
from datajob.datajob_stack import DataJobStack
from datajob.stepfunctions import stepfunctions_workflow
from datajob.stepfunctions.stepfunctions_wor... | 0.563858 | 0.408778 |
from typing import List
from copy import deepcopy
import torch
import torch.nn as nn
from catalyst import utils
def _get_convolution_net(
in_channels: int,
history_len: int = 1,
channels: List = None,
use_bias: bool = False,
use_groups: bool = False,
use_normalization: bool = False,
use_... | src/network.py | from typing import List
from copy import deepcopy
import torch
import torch.nn as nn
from catalyst import utils
def _get_convolution_net(
in_channels: int,
history_len: int = 1,
channels: List = None,
use_bias: bool = False,
use_groups: bool = False,
use_normalization: bool = False,
use_... | 0.940503 | 0.353679 |
import sys
from schevo.lib import optimize
from schevo.store.persistent import PersistentData
class PersistentList(PersistentData):
"""
Instance attributes:
data : list
"""
data_is = list
__slots__ = []
def __init__(self, *args, **kwargs):
self.data = list(*args, **kwargs)
... | schevo/store/persistent_list.py | import sys
from schevo.lib import optimize
from schevo.store.persistent import PersistentData
class PersistentList(PersistentData):
"""
Instance attributes:
data : list
"""
data_is = list
__slots__ = []
def __init__(self, *args, **kwargs):
self.data = list(*args, **kwargs)
... | 0.32896 | 0.144631 |
from module_base import ModuleBase
from module_mixins import ScriptedConfigModuleMixin, WX_OPEN
import module_utils
import vtk
class TIFFReader(ScriptedConfigModuleMixin, ModuleBase):
def __init__(self, module_manager):
ModuleBase.__init__(self, module_manager)
self._reader = vtk.vtkTIFFRea... | modules/readers/TIFFReader.py |
from module_base import ModuleBase
from module_mixins import ScriptedConfigModuleMixin, WX_OPEN
import module_utils
import vtk
class TIFFReader(ScriptedConfigModuleMixin, ModuleBase):
def __init__(self, module_manager):
ModuleBase.__init__(self, module_manager)
self._reader = vtk.vtkTIFFRea... | 0.58059 | 0.117521 |