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 jax
import jax.numpy as jnp
import chex
from typing import Optional
from functools import partial
from .obs_norm import ObsNormalizer
class BraxFitness(object):
def __init__(
self,
env_name: str = "ant",
num_env_steps: int = 1000,
num_rollouts: int = 16,
legacy_sprin... | evosax/problems/control_brax.py | import jax
import jax.numpy as jnp
import chex
from typing import Optional
from functools import partial
from .obs_norm import ObsNormalizer
class BraxFitness(object):
def __init__(
self,
env_name: str = "ant",
num_env_steps: int = 1000,
num_rollouts: int = 16,
legacy_sprin... | 0.855293 | 0.398465 |
from __future__ import absolute_import, division, print_function, unicode_literals
import struct
import lldb
# Various constants and masks used to decode the HermesValue.
NUM_TAG_EXP_BITS = 17
NUM_DATA_BITS = 64 - NUM_TAG_EXP_BITS
DATA_MASK = (1 << NUM_DATA_BITS) - 1
FIRST_TAG = 0xFFF88000 >> 15
LAST_TAG = 0xFFFF80... | lldb/HermesValueFormatter.py | from __future__ import absolute_import, division, print_function, unicode_literals
import struct
import lldb
# Various constants and masks used to decode the HermesValue.
NUM_TAG_EXP_BITS = 17
NUM_DATA_BITS = 64 - NUM_TAG_EXP_BITS
DATA_MASK = (1 << NUM_DATA_BITS) - 1
FIRST_TAG = 0xFFF88000 >> 15
LAST_TAG = 0xFFFF80... | 0.590189 | 0.140189 |
import re
def rotate_list(steps, values):
return values[-steps:] + values[:-steps]
class Solver8:
def __init__(self, grid_width, grid_height):
self.grid_width = grid_width
self.grid_height = grid_height
self.pixels = [[False for i in range(self.grid_height)] for j in range(self.grid_w... | problems/8/Solver8.py | import re
def rotate_list(steps, values):
return values[-steps:] + values[:-steps]
class Solver8:
def __init__(self, grid_width, grid_height):
self.grid_width = grid_width
self.grid_height = grid_height
self.pixels = [[False for i in range(self.grid_height)] for j in range(self.grid_w... | 0.516108 | 0.363421 |
# 91 studies found.
# Entries are (n, t) where n = Phylografter study id and t = tree id.
# 'None' means not included in Asterales-only synthesis.
# http://www.theoldnewinn.co.uk/village.htm
asterales_studies = [
(9, 1), # Tank --> 1 Campanulidae
(10, None), # Jansen
(11, None), # Mag... | integration/asterales_studies.py |
# 91 studies found.
# Entries are (n, t) where n = Phylografter study id and t = tree id.
# 'None' means not included in Asterales-only synthesis.
# http://www.theoldnewinn.co.uk/village.htm
asterales_studies = [
(9, 1), # Tank --> 1 Campanulidae
(10, None), # Jansen
(11, None), # Mag... | 0.194865 | 0.222912 |
import numpy as np
import numexpr as ne
from astropy import constants as const
class BlackBodySimpleSource(object):
"""
Simple packet source that generates packets for the Montecarlo part.
This uses the algorithm described in Bjorkman & Wood 2001 (page 4) which
references Carter & Cashwell 1975:
... | tardis/montecarlo/packet_source.py | import numpy as np
import numexpr as ne
from astropy import constants as const
class BlackBodySimpleSource(object):
"""
Simple packet source that generates packets for the Montecarlo part.
This uses the algorithm described in Bjorkman & Wood 2001 (page 4) which
references Carter & Cashwell 1975:
... | 0.832951 | 0.834002 |
from __future__ import annotations
from passlib.hash import argon2
from pyramid.request import Request
from pyramid_deferred_sqla import Base
from pyramid_deferred_sqla import Model
from pyramid_deferred_sqla import model_config
from sqlalchemy import Column
from sqlalchemy import ForeignKey
from sqlalchemy import Str... | src/conduit/auth/models.py |
from __future__ import annotations
from passlib.hash import argon2
from pyramid.request import Request
from pyramid_deferred_sqla import Base
from pyramid_deferred_sqla import Model
from pyramid_deferred_sqla import model_config
from sqlalchemy import Column
from sqlalchemy import ForeignKey
from sqlalchemy import Str... | 0.853699 | 0.187281 |
from auth.constants import FAILED, PROCESSING, SUCCEEDED
from auth.core.ticket import TicketFactory
from auth.core.ticket_notification import TicketNotice
from auth.core.ticket_objects import BaseTicketSerializer
from auth.core.ticket_serializer import TicketStateSerializer
from auth.models import Ticket
from auth.mode... | src/api/auth/views/ticket_views.py | from auth.constants import FAILED, PROCESSING, SUCCEEDED
from auth.core.ticket import TicketFactory
from auth.core.ticket_notification import TicketNotice
from auth.core.ticket_objects import BaseTicketSerializer
from auth.core.ticket_serializer import TicketStateSerializer
from auth.models import Ticket
from auth.mode... | 0.427875 | 0.164483 |
class Customer:
count_id = 0
# Initiator
def __init__(self, firstname, lastname, username, email, gender, birth, password, phone_number, address, postal, payment_method, card_number, expiry, security_code, reset_pass):
Customer.count_id += 1
self.__customer_id = Customer.count_id
self._... | full_v3/Customer.py | class Customer:
count_id = 0
# Initiator
def __init__(self, firstname, lastname, username, email, gender, birth, password, phone_number, address, postal, payment_method, card_number, expiry, security_code, reset_pass):
Customer.count_id += 1
self.__customer_id = Customer.count_id
self._... | 0.493409 | 0.117066 |
from __future__ import unicode_literals
import json
import time
import django
import django.utils.timezone as timezone
from django.test import TestCase, TransactionTestCase
from rest_framework import status
import error.test.utils as error_test_utils
import job.test.utils as job_test_utils
import queue.test.utils as... | scale/queue/test/test_views.py | from __future__ import unicode_literals
import json
import time
import django
import django.utils.timezone as timezone
from django.test import TestCase, TransactionTestCase
from rest_framework import status
import error.test.utils as error_test_utils
import job.test.utils as job_test_utils
import queue.test.utils as... | 0.634543 | 0.286568 |
from os.path import join, normpath
from pyutilib.misc import import_file
from pysperf.model_library_tools import register_model
from pyomo.common.fileutils import PYOMO_ROOT_DIR
pyomo_gdp_examples_path = normpath(join(PYOMO_ROOT_DIR, 'examples', 'gdp'))
def _build_from_gdp_examples(build_name, *path):
model_... | pysperf/models/pyomo_examples.py |
from os.path import join, normpath
from pyutilib.misc import import_file
from pysperf.model_library_tools import register_model
from pyomo.common.fileutils import PYOMO_ROOT_DIR
pyomo_gdp_examples_path = normpath(join(PYOMO_ROOT_DIR, 'examples', 'gdp'))
def _build_from_gdp_examples(build_name, *path):
model_... | 0.459319 | 0.200538 |
# based on https://github.com/cair/pyTsetlinMachine/blob/dfaa7f36a5fa5cc852645277605358ae4d955898/examples/IMDbTextCategorizationDemo.py
from scipy import sparse
import numpy as np
import keras
from sklearn.feature_selection import SelectKBest
from sklearn.feature_selection import chi2
from keras.datasets import imdb... | lib/examples/imdb-text-categorization/src/produce_dataset.py |
# based on https://github.com/cair/pyTsetlinMachine/blob/dfaa7f36a5fa5cc852645277605358ae4d955898/examples/IMDbTextCategorizationDemo.py
from scipy import sparse
import numpy as np
import keras
from sklearn.feature_selection import SelectKBest
from sklearn.feature_selection import chi2
from keras.datasets import imdb... | 0.697094 | 0.514095 |
import pytest
import time
import subprocess
from subprocess import run,Popen
from seldon_utils import *
from k8s_utils import *
def wait_for_shutdown(deploymentName):
ret = run("kubectl get deploy/"+deploymentName, shell=True)
while ret.returncode == 0:
time.sleep(1)
ret = run("kubectl get depl... | testing/scripts/test_helm_charts_single_namespace.py | import pytest
import time
import subprocess
from subprocess import run,Popen
from seldon_utils import *
from k8s_utils import *
def wait_for_shutdown(deploymentName):
ret = run("kubectl get deploy/"+deploymentName, shell=True)
while ret.returncode == 0:
time.sleep(1)
ret = run("kubectl get depl... | 0.245175 | 0.282046 |
import torch
from npt.datasets.base import BaseDataset
class CIFAR10Dataset(BaseDataset):
def __init__(self, c):
super().__init__(
fixed_test_set_index=None)
self.c = c
def load(self):
"""
Classification dataset.
Target in last column.
60 000 rows... | npt/datasets/cifar10.py | import torch
from npt.datasets.base import BaseDataset
class CIFAR10Dataset(BaseDataset):
def __init__(self, c):
super().__init__(
fixed_test_set_index=None)
self.c = c
def load(self):
"""
Classification dataset.
Target in last column.
60 000 rows... | 0.690037 | 0.617152 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django_countries.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
... | django_ecommerce-project/shop/migrations/0001_initial.py |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django_countries.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
... | 0.536556 | 0.160003 |
from __future__ import annotations
from .geom import *
import deepsvg.svglib.geom as geom
import re
import torch
from typing import List, Union
from xml.dom import minidom
import math
import shapely.geometry
import numpy as np
from .geom import union_bbox
from .svg_command import SVGCommand, SVGCommandMove, SVGCommand... | deepsvg/svglib/svg_path.py | from __future__ import annotations
from .geom import *
import deepsvg.svglib.geom as geom
import re
import torch
from typing import List, Union
from xml.dom import minidom
import math
import shapely.geometry
import numpy as np
from .geom import union_bbox
from .svg_command import SVGCommand, SVGCommandMove, SVGCommand... | 0.690663 | 0.22762 |
import copy
import logging
import numpy as np
import operator
import torch
import torch.utils.data
import json
from detectron2.utils.comm import get_world_size
from detectron2.data import samplers
from torch.utils.data.sampler import BatchSampler, Sampler
from detectron2.data.common import DatasetFromList, MapDataset
... | projects/UniDet/unidet/data/custom_dataset_dataloader.py | import copy
import logging
import numpy as np
import operator
import torch
import torch.utils.data
import json
from detectron2.utils.comm import get_world_size
from detectron2.data import samplers
from torch.utils.data.sampler import BatchSampler, Sampler
from detectron2.data.common import DatasetFromList, MapDataset
... | 0.535584 | 0.315894 |
from __future__ import absolute_import
import unittest
from datetime import datetime
from pytz import UTC
from bqdm.model.dataset import BigQueryAccessEntry, BigQueryDataset
from bqdm.model.schema import BigQuerySchemaField
from bqdm.model.table import BigQueryTable
from bqdm.util import dump
class TestUtil(unitte... | tests/test_util.py | from __future__ import absolute_import
import unittest
from datetime import datetime
from pytz import UTC
from bqdm.model.dataset import BigQueryAccessEntry, BigQueryDataset
from bqdm.model.schema import BigQuerySchemaField
from bqdm.model.table import BigQueryTable
from bqdm.util import dump
class TestUtil(unitte... | 0.646125 | 0.272085 |
import logging
log = logging.getLogger('moteConnector')
log.setLevel(logging.ERROR)
log.addHandler(logging.NullHandler())
import threading
import socket
import traceback
import sys
import binascii
import openvisualizer.openvisualizer_utils as u
from pydispatch import dispatcher
from openvisualizer.eventBus impo... | software/openvisualizer/openvisualizer/moteConnector/moteConnector.py | import logging
log = logging.getLogger('moteConnector')
log.setLevel(logging.ERROR)
log.addHandler(logging.NullHandler())
import threading
import socket
import traceback
import sys
import binascii
import openvisualizer.openvisualizer_utils as u
from pydispatch import dispatcher
from openvisualizer.eventBus impo... | 0.122484 | 0.098252 |
import random
import discord
import traceback
from resources.config import ConfigLoader
from resources.error_logger import ErrorLogging
class JoinLeaveHandler:
"""
Functions for welcoming a user or sending a message if
a user leaves
"""
def __init__(self, bot):
self.bot = bot
async d... | plugins/join_leave_handler.py | import random
import discord
import traceback
from resources.config import ConfigLoader
from resources.error_logger import ErrorLogging
class JoinLeaveHandler:
"""
Functions for welcoming a user or sending a message if
a user leaves
"""
def __init__(self, bot):
self.bot = bot
async d... | 0.360264 | 0.11187 |
from __future__ import unicode_literals
import django
from django.test import TestCase
from data.filter.filter import DataFilter
from data.filter.exceptions import InvalidDataFilter
from data.filter.json.filter_v6 import convert_filter_to_v6_json, DataFilterV6
class TestDataFilterV6(TestCase):
def setUp(self):... | scale/data/test/filter/json/test_filter_v6.py | from __future__ import unicode_literals
import django
from django.test import TestCase
from data.filter.filter import DataFilter
from data.filter.exceptions import InvalidDataFilter
from data.filter.json.filter_v6 import convert_filter_to_v6_json, DataFilterV6
class TestDataFilterV6(TestCase):
def setUp(self):... | 0.63409 | 0.589096 |
import re
DELIMS = {
'section': '~',
'category': '`',
'keywords': '^',
'title': '@',
'body': '}'
}
def build_pattern(sections, start_token, end_token):
# sections may not be in the correct order: fix it
key_order = ['category', 'keywords', 'title', 'body']
sections = [section for sect... | keyword_decode.py | import re
DELIMS = {
'section': '~',
'category': '`',
'keywords': '^',
'title': '@',
'body': '}'
}
def build_pattern(sections, start_token, end_token):
# sections may not be in the correct order: fix it
key_order = ['category', 'keywords', 'title', 'body']
sections = [section for sect... | 0.472927 | 0.285764 |
import shutil
import os
import os.path
import json
import distutils.command.build_ext
import subprocess
import sys
from setuptools import Extension, setup
import platform
import numpy
try:
import cython
use_cython = True
except ImportError:
use_cython = False
class ExtensionBuilder(distutils.command.bui... | setup.py | import shutil
import os
import os.path
import json
import distutils.command.build_ext
import subprocess
import sys
from setuptools import Extension, setup
import platform
import numpy
try:
import cython
use_cython = True
except ImportError:
use_cython = False
class ExtensionBuilder(distutils.command.bui... | 0.225758 | 0.058346 |
from __future__ import absolute_import
from collections import defaultdict
from flask_restful.reqparse import RequestParser
from itertools import groupby
from sqlalchemy.orm import contains_eager, joinedload, subqueryload_all
from typing import List # NOQA
from changes.api.base import APIView
from changes.api.serial... | changes/api/build_details.py | from __future__ import absolute_import
from collections import defaultdict
from flask_restful.reqparse import RequestParser
from itertools import groupby
from sqlalchemy.orm import contains_eager, joinedload, subqueryload_all
from typing import List # NOQA
from changes.api.base import APIView
from changes.api.serial... | 0.771112 | 0.152347 |
import requests
import requests_mock
import tempfile
import os
from os import path
from unittest import TestCase
from vivotool.harvester.elements import Elements
from vivotool.utils.file_utils import Utils
from datetime import datetime, timedelta
from unittest import mock
class TestElements(TestCase):
def setUp... | test/test_harvester.py | import requests
import requests_mock
import tempfile
import os
from os import path
from unittest import TestCase
from vivotool.harvester.elements import Elements
from vivotool.utils.file_utils import Utils
from datetime import datetime, timedelta
from unittest import mock
class TestElements(TestCase):
def setUp... | 0.540681 | 0.393735 |
import logging
import datetime
from schema import Schema, Optional
from nni import ClassArgsValidator
from nni.assessor import Assessor, AssessResult
from nni.utils import extract_scalar_history
from .model_factory import CurveModel
logger = logging.getLogger('curvefitting_Assessor')
class CurvefittingClassArgsVali... | nni/algorithms/hpo/curvefitting_assessor/curvefitting_assessor.py |
import logging
import datetime
from schema import Schema, Optional
from nni import ClassArgsValidator
from nni.assessor import Assessor, AssessResult
from nni.utils import extract_scalar_history
from .model_factory import CurveModel
logger = logging.getLogger('curvefitting_Assessor')
class CurvefittingClassArgsVali... | 0.920061 | 0.435061 |
import requests
API_ROOT = 'http://api.nytimes.com/svc/search/v2/articlesearch.'
API_SIGNUP_PAGE = 'http://developer.nytimes.com/docs/reference/keys'
class NoAPIKeyException(Exception):
def __init__(self, value):
self.value = value
def __str__(self):
return repr(self.value)
class articleAPI(... | NYTimesArticleAPI/search_api.py | import requests
API_ROOT = 'http://api.nytimes.com/svc/search/v2/articlesearch.'
API_SIGNUP_PAGE = 'http://developer.nytimes.com/docs/reference/keys'
class NoAPIKeyException(Exception):
def __init__(self, value):
self.value = value
def __str__(self):
return repr(self.value)
class articleAPI(... | 0.68595 | 0.224406 |
import pygame
width = 960
height = 540
fps = 30
WHITE = (255, 255, 255)
BLACK = (0, 0, 0)
RED = (255, 0, 0)
GREEN = (0, 255, 0)
BLUE = (0, 0, 255)
vec = pygame.Vector2
pygame.init()
pygame.mixer.init()
title = pygame.display.set_caption("ScrollLandia")
screen = pygame.display.set_mode((width, heigh... | Game Files/MainGameFile.py | import pygame
width = 960
height = 540
fps = 30
WHITE = (255, 255, 255)
BLACK = (0, 0, 0)
RED = (255, 0, 0)
GREEN = (0, 255, 0)
BLUE = (0, 0, 255)
vec = pygame.Vector2
pygame.init()
pygame.mixer.init()
title = pygame.display.set_caption("ScrollLandia")
screen = pygame.display.set_mode((width, heigh... | 0.32338 | 0.164014 |
from . import domainresource
class ConceptMap(domainresource.DomainResource):
""" A map from one set of concepts to one or more other concepts.
A statement of relationships from one set of concepts to one or more other
concepts - either concepts in code systems, or data element/data element
... | fhirclient/r4models/conceptmap.py |
from . import domainresource
class ConceptMap(domainresource.DomainResource):
""" A map from one set of concepts to one or more other concepts.
A statement of relationships from one set of concepts to one or more other
concepts - either concepts in code systems, or data element/data element
... | 0.828002 | 0.445771 |
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Admins',
fields=[
('window_username', models.CharField(db_column='WindowUsername', max_leng... | WebApps/FleetDataCollection/migrations/0001_initial.py |
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Admins',
fields=[
('window_username', models.CharField(db_column='WindowUsername', max_leng... | 0.552057 | 0.15863 |
import pytest
import os
from profiler.adapters.aggregations_repository.local_aggregation_repository import (
LocalAggregationsRepository,
)
from profiler.adapters.metrics_repository.local_metrics_repository import (
LocalMetricsRepository,
)
from profiler.adapters.models_repository.local_model_reporsitory impo... | profiler/tests/conftest.py | import pytest
import os
from profiler.adapters.aggregations_repository.local_aggregation_repository import (
LocalAggregationsRepository,
)
from profiler.adapters.metrics_repository.local_metrics_repository import (
LocalMetricsRepository,
)
from profiler.adapters.models_repository.local_model_reporsitory impo... | 0.499268 | 0.135175 |
import logging
from googleapiclient.discovery import build
from oauth2client.service_account import ServiceAccountCredentials
log = logging.getLogger(__name__)
DEFAULT_SCOPES = ['https://www.googleapis.com/auth/admin.directory.group'
, 'https://www.googleapis.com/auth/admin.directory.group.member']
def _cre... | src/gsuitefy/gsuite.py | import logging
from googleapiclient.discovery import build
from oauth2client.service_account import ServiceAccountCredentials
log = logging.getLogger(__name__)
DEFAULT_SCOPES = ['https://www.googleapis.com/auth/admin.directory.group'
, 'https://www.googleapis.com/auth/admin.directory.group.member']
def _cre... | 0.725843 | 0.198375 |
# Disable protected access for testing.
# pylint: disable=protected-access,no-member
import copy
import importlib
from unittest import mock
import pytest
from sqlalchemy import schema as sql_schema
from open_alchemy import exceptions
from open_alchemy import model_factory
from open_alchemy.facades import sqlalchemy
... | tests/open_alchemy/test_model_factory.py | # Disable protected access for testing.
# pylint: disable=protected-access,no-member
import copy
import importlib
from unittest import mock
import pytest
from sqlalchemy import schema as sql_schema
from open_alchemy import exceptions
from open_alchemy import model_factory
from open_alchemy.facades import sqlalchemy
... | 0.764979 | 0.426083 |
from __future__ import print_function
import sys
import os
from JobInfo import *
import subprocess
from textwrap import dedent
import time
instructionFile = sys.argv[1]
assert os.path.exists(instructionFile), '"%s" is not a valid instruction file.' % `instructionFile`
# Initialize the JobInfo object, whi... | python/ChorusCustomActions/OpenInSameFrameByMacro.py | from __future__ import print_function
import sys
import os
from JobInfo import *
import subprocess
from textwrap import dedent
import time
instructionFile = sys.argv[1]
assert os.path.exists(instructionFile), '"%s" is not a valid instruction file.' % `instructionFile`
# Initialize the JobInfo object, whi... | 0.190197 | 0.062818 |
import numpy as np
import os.path as op
import pandas as pd
import pytest
import tempfile
import torch
import afqinsight as afqi
from afqinsight.datasets import (
bundles2channels,
load_afq_data,
download_sarica,
download_weston_havens,
AFQDataset,
)
data_path = op.join(afqi.__path__[0], "data")
t... | afqinsight/tests/test_datasets.py | import numpy as np
import os.path as op
import pandas as pd
import pytest
import tempfile
import torch
import afqinsight as afqi
from afqinsight.datasets import (
bundles2channels,
load_afq_data,
download_sarica,
download_weston_havens,
AFQDataset,
)
data_path = op.join(afqi.__path__[0], "data")
t... | 0.652131 | 0.563138 |
from datetime import timedelta
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from airflow.hooks.postgres_hook import PostgresHook
from airflow.utils.dates import days_ago
import pandas as pd
import gcsfs
from airflow.models import Variable
pg_hook = PostgresHook("heroku_psql")
d... | dags/assignment_processor/etl.py | from datetime import timedelta
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from airflow.hooks.postgres_hook import PostgresHook
from airflow.utils.dates import days_ago
import pandas as pd
import gcsfs
from airflow.models import Variable
pg_hook = PostgresHook("heroku_psql")
d... | 0.439747 | 0.215041 |
class Blob:
"""
Blob object
"""
def __init__(self, id=None, blob_status=None, content_type=None,
created_at=None, last_read_access_ts=None, lifetime=None,
name=None, public=None, ref_count=None, set_completed_at=None,
size=None, uid=None, updated_at=... | QuickBlox/Blob.py |
class Blob:
"""
Blob object
"""
def __init__(self, id=None, blob_status=None, content_type=None,
created_at=None, last_read_access_ts=None, lifetime=None,
name=None, public=None, ref_count=None, set_completed_at=None,
size=None, uid=None, updated_at=... | 0.701611 | 0.139455 |
from __future__ import absolute_import
import random
import re
from oslo_log import log
import tobiko
from tobiko.openstack import topology
from tobiko.shell import sh
LOG = log.getLogger(__name__)
def get_filtered_node_containers(node, containers_regex):
"""Search all containers are matched with containers_... | tobiko/tests/faults/containers/container_ops.py | from __future__ import absolute_import
import random
import re
from oslo_log import log
import tobiko
from tobiko.openstack import topology
from tobiko.shell import sh
LOG = log.getLogger(__name__)
def get_filtered_node_containers(node, containers_regex):
"""Search all containers are matched with containers_... | 0.580828 | 0.272545 |
from __future__ import unicode_literals
from jinja2 import Template
from werkzeug.exceptions import BadRequest
class RDSClientError(BadRequest):
def __init__(self, code, message):
super(RDSClientError, self).__init__()
template = Template("""
<RDSClientError>
<Error>
... | moto/rds2/exceptions.py | from __future__ import unicode_literals
from jinja2 import Template
from werkzeug.exceptions import BadRequest
class RDSClientError(BadRequest):
def __init__(self, code, message):
super(RDSClientError, self).__init__()
template = Template("""
<RDSClientError>
<Error>
... | 0.739705 | 0.05445 |
import urllib
class CurieBackendException(Exception):
pass
class Backends(object):
backends = {}
@classmethod
def register(cls, scheme):
def do_reg(c):
cls.backends[scheme] = c
return c
return do_reg
@classmethod
def get_backend(cls, app, url, *args, **k... | curiefense/curieconf/server/curieconf/confserver/backend/__init__.py | import urllib
class CurieBackendException(Exception):
pass
class Backends(object):
backends = {}
@classmethod
def register(cls, scheme):
def do_reg(c):
cls.backends[scheme] = c
return c
return do_reg
@classmethod
def get_backend(cls, app, url, *args, **k... | 0.321673 | 0.058292 |
from datetime import datetime, timedelta, timezone
from collections import deque
from math import sqrt
from time import monotonic, time
from pkg_resources import resource_stream
from tempfile import TemporaryFile
from asyncio import gather, CancelledError, TimeoutError
from aiohttp import ClientError, ClientResponseEr... | monocle/notification.py | from datetime import datetime, timedelta, timezone
from collections import deque
from math import sqrt
from time import monotonic, time
from pkg_resources import resource_stream
from tempfile import TemporaryFile
from asyncio import gather, CancelledError, TimeoutError
from aiohttp import ClientError, ClientResponseEr... | 0.539469 | 0.060418 |
from copy import deepcopy
from typing import List
import base58
from indy_common.auth import Authoriser
from indy_common.constants import NYM, ROLE, ATTRIB, SCHEMA, CLAIM_DEF, REF, \
GET_NYM, GET_ATTR, GET_SCHEMA, GET_CLAIM_DEF, SIGNATURE_TYPE, REVOC_REG_DEF
from indy_common.roles import Roles
from indy_common.st... | indy_node/server/domain_req_handler.py | from copy import deepcopy
from typing import List
import base58
from indy_common.auth import Authoriser
from indy_common.constants import NYM, ROLE, ATTRIB, SCHEMA, CLAIM_DEF, REF, \
GET_NYM, GET_ATTR, GET_SCHEMA, GET_CLAIM_DEF, SIGNATURE_TYPE, REVOC_REG_DEF
from indy_common.roles import Roles
from indy_common.st... | 0.563018 | 0.132824 |
import logging
import json
from googleapiclient.discovery import build
logger = logging.getLogger(__name__)
class GoogleImageSearchService:
DEFAULT_SEARCH_FIELDS = 'items(fileFormat,image(byteSize,height,width),labels,link,mime,snippet,title),queries,searchInformation(searchTime,totalResults)'
DEFAULT_PAGE_... | google_image_search_service.py | import logging
import json
from googleapiclient.discovery import build
logger = logging.getLogger(__name__)
class GoogleImageSearchService:
DEFAULT_SEARCH_FIELDS = 'items(fileFormat,image(byteSize,height,width),labels,link,mime,snippet,title),queries,searchInformation(searchTime,totalResults)'
DEFAULT_PAGE_... | 0.495361 | 0.148726 |
import os
import re
import time
import requests
from ..utils import removeImage, showImage, saveImage
'''PC端登录去哪儿旅行'''
class qunarPC():
is_callable = True
def __init__(self, **kwargs):
for key, value in kwargs.items(): setattr(self, key, value)
self.info = 'login in qunar in pc mode'
s... | DecryptLogin/modules/core/qunar.py | import os
import re
import time
import requests
from ..utils import removeImage, showImage, saveImage
'''PC端登录去哪儿旅行'''
class qunarPC():
is_callable = True
def __init__(self, **kwargs):
for key, value in kwargs.items(): setattr(self, key, value)
self.info = 'login in qunar in pc mode'
s... | 0.204421 | 0.07343 |
from flask import Flask, jsonify, make_response,request
from flask_cors import CORS
from pymongo import MongoClient
from bson import ObjectId
import json
import os
import sys
import pymongo
class JSONEncoder(json.JSONEncoder):
def default(self, o):
if isinstance(o, ObjectId):
return str(o)
... | serverless/books/app.py | from flask import Flask, jsonify, make_response,request
from flask_cors import CORS
from pymongo import MongoClient
from bson import ObjectId
import json
import os
import sys
import pymongo
class JSONEncoder(json.JSONEncoder):
def default(self, o):
if isinstance(o, ObjectId):
return str(o)
... | 0.244724 | 0.064801 |
import csv
import os
import json
import subprocess
import copy
from collections import Counter
import networkx as nx
from graphviz import Source
import tempfile
from typing import Any, Dict, Set, Tuple
from conda_forge_tick.utils import frozen_to_json_friendly, load_graph
from conda_forge_tick.auto_tick import initi... | conda_forge_tick/status_report.py | import csv
import os
import json
import subprocess
import copy
from collections import Counter
import networkx as nx
from graphviz import Source
import tempfile
from typing import Any, Dict, Set, Tuple
from conda_forge_tick.utils import frozen_to_json_friendly, load_graph
from conda_forge_tick.auto_tick import initi... | 0.442034 | 0.173358 |
from django.contrib.auth.decorators import permission_required
from django.shortcuts import render_to_response
from BeautifulSoup import BeautifulSoup
from wishlist.models import Item
from wishlist.views import scrape_price
import urllib2
@permission_required('wishlist.add_item')
def wishlistr(request, username):
... | wishlist/importer.py | from django.contrib.auth.decorators import permission_required
from django.shortcuts import render_to_response
from BeautifulSoup import BeautifulSoup
from wishlist.models import Item
from wishlist.views import scrape_price
import urllib2
@permission_required('wishlist.add_item')
def wishlistr(request, username):
... | 0.439266 | 0.105579 |
import logging
import BaseHTTPServer
import optparse
import xml.etree.ElementTree as ET
import xml.parsers.expat
# enable debug level logging
logging.basicConfig(level = logging.DEBUG,
format='%(asctime)s %(levelname)s %(message)s')
options = None
# subclassed HTTPRequestHandler
class Concierge... | OpenSim/Region/OptionalModules/Avatar/Concierge/ConciergeServer.py |
import logging
import BaseHTTPServer
import optparse
import xml.etree.ElementTree as ET
import xml.parsers.expat
# enable debug level logging
logging.basicConfig(level = logging.DEBUG,
format='%(asctime)s %(levelname)s %(message)s')
options = None
# subclassed HTTPRequestHandler
class Concierge... | 0.282592 | 0.062991 |
import numpy,tables,os,sys
from scipy.signal import hilbert
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
#Check input is correct
def getMagPhase(h5,xi,yi,component):
zLoBounds=h5.root.globalLimits._v_attrs.vsLowerBounds[2]
zUpBounds=h5.root.globalLimits._v_attrs.vsUpperBounds[2]
... | utilities/pyPlotting/plotPolarizationHilbert.py |
import numpy,tables,os,sys
from scipy.signal import hilbert
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
#Check input is correct
def getMagPhase(h5,xi,yi,component):
zLoBounds=h5.root.globalLimits._v_attrs.vsLowerBounds[2]
zUpBounds=h5.root.globalLimits._v_attrs.vsUpperBounds[2]
... | 0.156169 | 0.403861 |
from abc import ABC, abstractmethod
import math
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from ..depth import ModifiedBandDepth
from ..outliers import _envelopes
from ._utils import (_figure_to_svg, _get_figure_and_axes,
_set_figure_layout_for_fdata, _set_labels)
__a... | skfda/exploratory/visualization/_boxplot.py | from abc import ABC, abstractmethod
import math
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from ..depth import ModifiedBandDepth
from ..outliers import _envelopes
from ._utils import (_figure_to_svg, _get_figure_and_axes,
_set_figure_layout_for_fdata, _set_labels)
__a... | 0.83025 | 0.696255 |
from . import util as test_util
machinery = test_util.import_importlib('importlib.machinery')
import os
import re
import sys
import unittest
from test import support
from distutils.util import get_platform
from contextlib import contextmanager
from .util import temp_module
support.import_module('winreg', required_on=... | Lib/test/test_importlib/test_windows.py | from . import util as test_util
machinery = test_util.import_importlib('importlib.machinery')
import os
import re
import sys
import unittest
from test import support
from distutils.util import get_platform
from contextlib import contextmanager
from .util import temp_module
support.import_module('winreg', required_on=... | 0.281702 | 0.214938 |
import matplotlib.pyplot as plt
import numpy as np
import src.estimation.configuration as configs
from src.datasets.bighand.dataset import BighandDataset
from src.datasets.msra.dataset import MSRADataset
from src.estimation.preprocessing import DatasetPreprocessor
from src.estimation.architecture.jgrp2o import JGR_J2O... | src/estimation/evaluation.py | import matplotlib.pyplot as plt
import numpy as np
import src.estimation.configuration as configs
from src.datasets.bighand.dataset import BighandDataset
from src.datasets.msra.dataset import MSRADataset
from src.estimation.preprocessing import DatasetPreprocessor
from src.estimation.architecture.jgrp2o import JGR_J2O... | 0.45641 | 0.770983 |
import re
from datetime import date
from datetime import datetime
from decimal import Decimal
from .erros import CampoFixoError
from .erros import CampoObrigatorioError
from .erros import FormatoInvalidoError
class Campo(object):
"""
Classe base para definição de um campo de um registro do SPED.
>>> ... | sped/campos.py |
import re
from datetime import date
from datetime import datetime
from decimal import Decimal
from .erros import CampoFixoError
from .erros import CampoObrigatorioError
from .erros import FormatoInvalidoError
class Campo(object):
"""
Classe base para definição de um campo de um registro do SPED.
>>> ... | 0.588653 | 0.194999 |
import argparse
import curses
import robot_interfaces
import robot_fingers
class CursesGUI:
"""Displays robot data using curses."""
def __init__(self, win):
"""Initialize.
Args:
win: Curses window.
"""
self.win = win
self.win.nodelay(True)
def updat... | scripts/position_control_on_off.py | import argparse
import curses
import robot_interfaces
import robot_fingers
class CursesGUI:
"""Displays robot data using curses."""
def __init__(self, win):
"""Initialize.
Args:
win: Curses window.
"""
self.win = win
self.win.nodelay(True)
def updat... | 0.826502 | 0.391755 |
from categories_scraper.categories_scraper import CategoriesScraper
from home_scraper import HomeScraper
from categories_menu_scraper import CategoriesMenuScraper
from single_product_scraper import SingleProductScraper
from categories_scraper.single_product_category_scraper import SingleProductCategoryScraper
fr... | main.py | from categories_scraper.categories_scraper import CategoriesScraper
from home_scraper import HomeScraper
from categories_menu_scraper import CategoriesMenuScraper
from single_product_scraper import SingleProductScraper
from categories_scraper.single_product_category_scraper import SingleProductCategoryScraper
fr... | 0.32146 | 0.132262 |
import frappe
import re
import uuid
from frappe.utils import now
import hashlib
import hmac
import hashlib
import base64
from datetime import datetime
import random
import string
@frappe.whitelist(allow_guest = True)
def create_log(**kwargs):
kwargs=frappe._dict(kwargs)
doc = frappe.new_doc("Payment Log")
... | club_crm/api/app/pg.py | import frappe
import re
import uuid
from frappe.utils import now
import hashlib
import hmac
import hashlib
import base64
from datetime import datetime
import random
import string
@frappe.whitelist(allow_guest = True)
def create_log(**kwargs):
kwargs=frappe._dict(kwargs)
doc = frappe.new_doc("Payment Log")
... | 0.256459 | 0.093969 |
import numpy as np
import pytest
from sunkit_image import asda
from sunkit_image.data.test import get_test_filepath
def test_asda_artificial():
"""
Generate an artificial vortex using the Lamb_Oseen class in asda, then
perform the vortex detection.
"""
# Generate an artificial vortex
vmax = 2... | sunkit_image/tests/test_asda.py | import numpy as np
import pytest
from sunkit_image import asda
from sunkit_image.data.test import get_test_filepath
def test_asda_artificial():
"""
Generate an artificial vortex using the Lamb_Oseen class in asda, then
perform the vortex detection.
"""
# Generate an artificial vortex
vmax = 2... | 0.726717 | 0.623778 |
from __future__ import division
import roslib
import rospy
import tf
from nav_msgs.msg import Odometry
from nav_msgs.msg import Path
from geometry_msgs.msg import PoseStamped
import numpy as np
class GT_cleaner:
def __init__(self):
self.last_time = rospy.Time.now()
self.init = False
self... | nodes/centered_mocap_rebroadcaster.py | from __future__ import division
import roslib
import rospy
import tf
from nav_msgs.msg import Odometry
from nav_msgs.msg import Path
from geometry_msgs.msg import PoseStamped
import numpy as np
class GT_cleaner:
def __init__(self):
self.last_time = rospy.Time.now()
self.init = False
self... | 0.594316 | 0.33887 |
from spyder.widgets.sourcecode.codeeditor import CodeEditor
from PyQt5.QtCore import pyqtSignal, QFileSystemWatcher, QTimer
from PyQt5.QtWidgets import QAction, QFileDialog
import sys
from pyqtgraph.parametertree import Parameter
from ..mixins import ComponentMixin
from ..utils import get_save_filename, get_open_fi... | src/widgets/editor.py | from spyder.widgets.sourcecode.codeeditor import CodeEditor
from PyQt5.QtCore import pyqtSignal, QFileSystemWatcher, QTimer
from PyQt5.QtWidgets import QAction, QFileDialog
import sys
from pyqtgraph.parametertree import Parameter
from ..mixins import ComponentMixin
from ..utils import get_save_filename, get_open_fi... | 0.36376 | 0.099777 |
import os
import csv
import cv2
import numpy as np
from math import ceil
from sklearn.model_selection import train_test_split
from sklearn.utils import shuffle
from keras.models import Sequential
from keras.layers.core import Dense, Activation, Flatten, Dropout
from keras.layers.convolutional import Conv2D
from keras.l... | model.py | import os
import csv
import cv2
import numpy as np
from math import ceil
from sklearn.model_selection import train_test_split
from sklearn.utils import shuffle
from keras.models import Sequential
from keras.layers.core import Dense, Activation, Flatten, Dropout
from keras.layers.convolutional import Conv2D
from keras.l... | 0.660063 | 0.445168 |
import textwrap
import pytest
from pants.backend.python.util_rules.pex import rules as pex_rules
from pants.backend.terraform import dependency_inference
from pants.backend.terraform.dependency_inference import (
InferTerraformModuleDependenciesRequest,
ParseTerraformModuleSources,
TerraformHcl2Parser,
)
... | src/python/pants/backend/terraform/dependency_inference_test.py | import textwrap
import pytest
from pants.backend.python.util_rules.pex import rules as pex_rules
from pants.backend.terraform import dependency_inference
from pants.backend.terraform.dependency_inference import (
InferTerraformModuleDependenciesRequest,
ParseTerraformModuleSources,
TerraformHcl2Parser,
)
... | 0.592313 | 0.155848 |
import testtools
import mock
from oslo_messaging import conffixture
from stevedore import extension
from cloudkitty import orchestrator
from cloudkitty import tests
from cloudkitty.tests.utils import is_functional_test
class FakeKeystoneClient(object):
class FakeTenants(object):
def list(self):
... | cloudkitty/tests/test_orchestrator.py | import testtools
import mock
from oslo_messaging import conffixture
from stevedore import extension
from cloudkitty import orchestrator
from cloudkitty import tests
from cloudkitty.tests.utils import is_functional_test
class FakeKeystoneClient(object):
class FakeTenants(object):
def list(self):
... | 0.490968 | 0.121269 |
#package imports
import detectionformats.beam
#stdlib imports
import unittest
class TestBeam(unittest.TestCase):
BACKAZIMUTH = 12.569
SLOWNESS = 2.5
POWERRATIO = 16.1
BACKAZIMUTHERROR = 2.59
SLOWNESSERROR = 5.56
POWERRATIOERROR = 0.12
JSONSTRING = '{"BackAzimuth": 12.569, "Slowness": 2.5,... | python/test/test_beam.py |
#package imports
import detectionformats.beam
#stdlib imports
import unittest
class TestBeam(unittest.TestCase):
BACKAZIMUTH = 12.569
SLOWNESS = 2.5
POWERRATIO = 16.1
BACKAZIMUTHERROR = 2.59
SLOWNESSERROR = 5.56
POWERRATIOERROR = 0.12
JSONSTRING = '{"BackAzimuth": 12.569, "Slowness": 2.5,... | 0.53437 | 0.62065 |
from cached_property import cached_property
from contextlib import contextmanager
import logging
import subparse
import sys
import yaml
from . import commands
class AbortCLI(Exception):
def __init__(self, message, code):
self.message = message
self.code = code
class App:
stdin = sys.stdin
... | tweeter/cli.py | from cached_property import cached_property
from contextlib import contextmanager
import logging
import subparse
import sys
import yaml
from . import commands
class AbortCLI(Exception):
def __init__(self, message, code):
self.message = message
self.code = code
class App:
stdin = sys.stdin
... | 0.261614 | 0.060975 |
class Solution:
def strToInt(self, str: str) -> int:
"""常规思路：各种场景"""
s = str.strip()
if len(s) == 0:
return 0
first = s[0]
flag = 1
if first == '+':
s = s[1:]
if first == '-':
flag = -1
s = s[1:]
num... | lcof/67-ba-zi-fu-chuan-zhuan-huan-cheng-zheng-shu-lcof.py |
class Solution:
def strToInt(self, str: str) -> int:
"""常规思路：各种场景"""
s = str.strip()
if len(s) == 0:
return 0
first = s[0]
flag = 1
if first == '+':
s = s[1:]
if first == '-':
flag = -1
s = s[1:]
num... | 0.530723 | 0.469155 |
# NOC modules
from noc.sa.profiles.Generic.get_metrics import Script as GetMetricsScript, metrics
class Script(GetMetricsScript):
name = "Eltex.TAU.get_metrics"
@metrics(
["CPU | Usage"],
volatile=False,
access="S",
)
def get_cpu_usage(self, metrics):
cpu_usage = self... | sa/profiles/Eltex/TAU/get_metrics.py |
# NOC modules
from noc.sa.profiles.Generic.get_metrics import Script as GetMetricsScript, metrics
class Script(GetMetricsScript):
name = "Eltex.TAU.get_metrics"
@metrics(
["CPU | Usage"],
volatile=False,
access="S",
)
def get_cpu_usage(self, metrics):
cpu_usage = self... | 0.523177 | 0.160135 |
import numpy as np
import matplotlib.pyplot as plt
import math
# Choose the controller you want to plot: 1) flexran 2) 5gempower 3) altflexran
controller = "flexran"
# Location of the input folder according to the chosen controller
input_folder = "data/{}_measurements".format(controller)
# Location of the output fol... | plot_functions/mem_plot_heatmap.py |
import numpy as np
import matplotlib.pyplot as plt
import math
# Choose the controller you want to plot: 1) flexran 2) 5gempower 3) altflexran
controller = "flexran"
# Location of the input folder according to the chosen controller
input_folder = "data/{}_measurements".format(controller)
# Location of the output fol... | 0.685423 | 0.641282 |
from .factories import HomePageFactory, ThemeFactory, ThemePageFactory, ArticlePageFactory, \
ThemeIndexPageFactory, ArticleIndexPageFactory
from django.test import TestCase, RequestFactory
from wagtail.core.models import Page, Site
class TestPageModels(TestCase):
@classmethod
def setUpTestData(cls):
... | cms/tests/test_pages.py | from .factories import HomePageFactory, ThemeFactory, ThemePageFactory, ArticlePageFactory, \
ThemeIndexPageFactory, ArticleIndexPageFactory
from django.test import TestCase, RequestFactory
from wagtail.core.models import Page, Site
class TestPageModels(TestCase):
@classmethod
def setUpTestData(cls):
... | 0.448668 | 0.150528 |
import time
import unittest
from azure.cli.testsdk import ScenarioTest, ResourceGroupPreparer
class AzureSignalRServiceScenarioTest(ScenarioTest):
@ResourceGroupPreparer(random_name_length=20)
def test_signalr_commands(self, resource_group):
signalr_name = self.create_random_name('signalr', 16)
... | src/azure-cli/azure/cli/command_modules/signalr/tests/latest/test_signalr_commands.py |
import time
import unittest
from azure.cli.testsdk import ScenarioTest, ResourceGroupPreparer
class AzureSignalRServiceScenarioTest(ScenarioTest):
@ResourceGroupPreparer(random_name_length=20)
def test_signalr_commands(self, resource_group):
signalr_name = self.create_random_name('signalr', 16)
... | 0.549157 | 0.221224 |
import os
import subprocess
import time
import sys
sys.path.append("test/utils")
import util
apply_cmd = "kubectl apply -f {}"
delete_cmd = "kubectl delete -f {}"
def clean(chain_type):
subprocess.getoutput(delete_cmd.format("test/reliability/chaos/network-chaos.yaml"))
subprocess.getoutput(delete_cmd.forma... | test/reliability/scripts/chaos-test.py | import os
import subprocess
import time
import sys
sys.path.append("test/utils")
import util
apply_cmd = "kubectl apply -f {}"
delete_cmd = "kubectl delete -f {}"
def clean(chain_type):
subprocess.getoutput(delete_cmd.format("test/reliability/chaos/network-chaos.yaml"))
subprocess.getoutput(delete_cmd.forma... | 0.117978 | 0.089455 |
import os
import sys
import tempfile
from importlib import util as import_util
from pathlib import Path
from typing import Any, Dict, Union
from .logging import get_logger
_RULE_FOLDER = os.path.join(tempfile.gettempdir(), 'rules')
# Rule with ID 'aws_globals' contains common Python logic used by other rules
COMMON... | internal/log_analysis/rules_engine/src/rule.py |
import os
import sys
import tempfile
from importlib import util as import_util
from pathlib import Path
from typing import Any, Dict, Union
from .logging import get_logger
_RULE_FOLDER = os.path.join(tempfile.gettempdir(), 'rules')
# Rule with ID 'aws_globals' contains common Python logic used by other rules
COMMON... | 0.611498 | 0.125065 |
import sys
import time
# please install numpy module (python-numpy on Arch Linux)
import numpy as np
import tools.timeutils as timeutils
def fill_matrix():
"""
Return a numpy matrix from the data in problem11-data.txt
"""
array = []
with open('problem11-data.txt', 'r') as f:
for line in f:... | problem11.py | import sys
import time
# please install numpy module (python-numpy on Arch Linux)
import numpy as np
import tools.timeutils as timeutils
def fill_matrix():
"""
Return a numpy matrix from the data in problem11-data.txt
"""
array = []
with open('problem11-data.txt', 'r') as f:
for line in f:... | 0.513181 | 0.574096 |
import os
import torch
import torch.nn as nn
import torch.utils
import torch.backends.cudnn as cudnn
import xnas.core.logging as logging
import xnas.core.config as config
import xnas.core.meters as meters
import xnas.search_space.DrNAS.utils as utils
from xnas.core.builders import build_loss_fun, DrNAS_builder
from xn... | search/DrNAS/nb201space_progressive.py | import os
import torch
import torch.nn as nn
import torch.utils
import torch.backends.cudnn as cudnn
import xnas.core.logging as logging
import xnas.core.config as config
import xnas.core.meters as meters
import xnas.search_space.DrNAS.utils as utils
from xnas.core.builders import build_loss_fun, DrNAS_builder
from xn... | 0.71423 | 0.296635 |
from math import sqrt
import multiprocessing
from functools import partial
import numpy as np
from scipy.special import erfinv
from scipy import linalg
from joblib import Parallel, delayed, Memory
from mdct_tools import mdct_waveform, mdct, MDCT
def check_random_state(seed):
"""Turn seed into a np.random.Rando... | bird/_bird.py |
from math import sqrt
import multiprocessing
from functools import partial
import numpy as np
from scipy.special import erfinv
from scipy import linalg
from joblib import Parallel, delayed, Memory
from mdct_tools import mdct_waveform, mdct, MDCT
def check_random_state(seed):
"""Turn seed into a np.random.Rando... | 0.762424 | 0.328637 |
from __future__ import unicode_literals
from blinker import Namespace
_signals = Namespace()
registration_personal_data_modified = _signals.signal('registration-personal-data-modified', """
Called when the registration personal data is modified. The `sender` is the
`Registration` object; the change is passed in th... | indico/core/signals/event/registration.py |
from __future__ import unicode_literals
from blinker import Namespace
_signals = Namespace()
registration_personal_data_modified = _signals.signal('registration-personal-data-modified', """
Called when the registration personal data is modified. The `sender` is the
`Registration` object; the change is passed in th... | 0.880116 | 0.607925 |
import pytest
from tests.conftest import perform_once
def test_changelog_and_version(accelize_drm):
"""
Checks if Version match with Git tag and if changelog is up to date.
"""
perform_once(__name__ + '.test_changelog_and_version')
from os.path import join
from subprocess import run, PIPE
... | tests/test_release_checks.py | import pytest
from tests.conftest import perform_once
def test_changelog_and_version(accelize_drm):
"""
Checks if Version match with Git tag and if changelog is up to date.
"""
perform_once(__name__ + '.test_changelog_and_version')
from os.path import join
from subprocess import run, PIPE
... | 0.561455 | 0.355747 |
import pandas as pd
from matplotlib import pyplot as plt
import seaborn as sns
# Read csv and store in dataframe df
df = pd.read_csv("results.csv")
df.drop(["index"], axis=1).reset_index(drop=True)
# Separate fifth grade tests
femte_trinn = df[
(df["statistikk"] == "Nasjonale prøver 5. trinn") & (pd.isna(df["ver... | script.py | import pandas as pd
from matplotlib import pyplot as plt
import seaborn as sns
# Read csv and store in dataframe df
df = pd.read_csv("results.csv")
df.drop(["index"], axis=1).reset_index(drop=True)
# Separate fifth grade tests
femte_trinn = df[
(df["statistikk"] == "Nasjonale prøver 5. trinn") & (pd.isna(df["ver... | 0.376509 | 0.434701 |
from hashlib import md5
from django.contrib.auth.models import User
from django.core import validators
from django.db import models
from iommi import register_factory
from unread.models import UnreadModel
class Model(models.Model):
def __repr__(self):
return f'{type(self)} {self.pk}:{self}'
class M... | forum/models.py | from hashlib import md5
from django.contrib.auth.models import User
from django.core import validators
from django.db import models
from iommi import register_factory
from unread.models import UnreadModel
class Model(models.Model):
def __repr__(self):
return f'{type(self)} {self.pk}:{self}'
class M... | 0.706494 | 0.17172 |
"""Encoding Custermized NN Module"""
import torch
from torch.nn import Module, Sequential, Conv2d, ReLU, AdaptiveAvgPool2d
from torch.nn import functional as F
from .syncbn import BatchNorm2d
__all__ = ['GramMatrix', 'View', 'Sum', 'Mean', 'Normalize', 'PyramidPooling']
class GramMatrix(Module):
r""" Gram Matr... | encoding/nn/customize.py |
"""Encoding Custermized NN Module"""
import torch
from torch.nn import Module, Sequential, Conv2d, ReLU, AdaptiveAvgPool2d
from torch.nn import functional as F
from .syncbn import BatchNorm2d
__all__ = ['GramMatrix', 'View', 'Sum', 'Mean', 'Normalize', 'PyramidPooling']
class GramMatrix(Module):
r""" Gram Matr... | 0.965004 | 0.775222 |
import numpy as np
import pandas as pd
import pytest
from featuretools.primitives import CityblockDistance, GeoMidpoint, IsInGeoBox
def test_cityblock():
primitive_instance = CityblockDistance()
latlong_1 = pd.Series([(i, i) for i in range(3)])
latlong_2 = pd.Series([(i, i) for i in range(3, 6)])
pri... | featuretools/tests/primitive_tests/test_latlong_primitives.py | import numpy as np
import pandas as pd
import pytest
from featuretools.primitives import CityblockDistance, GeoMidpoint, IsInGeoBox
def test_cityblock():
primitive_instance = CityblockDistance()
latlong_1 = pd.Series([(i, i) for i in range(3)])
latlong_2 = pd.Series([(i, i) for i in range(3, 6)])
pri... | 0.546738 | 0.57523 |
from __future__ import absolute_import, unicode_literals
import fakeredis
import pytest
import redis
import unittest
import socket
from array import array
from case import ANY, ContextMock, Mock, call, mock, skip, patch
from collections import defaultdict
from contextlib import contextmanager
from itertools import co... | t/unit/transport/test_redis.py | from __future__ import absolute_import, unicode_literals
import fakeredis
import pytest
import redis
import unittest
import socket
from array import array
from case import ANY, ContextMock, Mock, call, mock, skip, patch
from collections import defaultdict
from contextlib import contextmanager
from itertools import co... | 0.644113 | 0.062646 |
from typing import Collection, Tuple, Union
class BitString(int):
"""
Given a binary string or positive integer, store the value as an integer
which can be sliced or concatenated based on the string representation.
Useful for working with binary-coded decimal values where, for example,
each 4-bit... | src/frico/bitstring.py | from typing import Collection, Tuple, Union
class BitString(int):
"""
Given a binary string or positive integer, store the value as an integer
which can be sliced or concatenated based on the string representation.
Useful for working with binary-coded decimal values where, for example,
each 4-bit... | 0.962259 | 0.551091 |
from ...coresight.coresight_target import CoreSightTarget
from ...core.memory_map import (FlashRegion, RamRegion, MemoryMap)
from ...debug.svd.loader import SVDFile
class DBGMCU:
STPCTL = 0xE0042020
STPCTL_VALUE = 0x3FFB
TRACECTL = 0xE0042024
TRACECTL_VALUE = 0x0
FLASH_ALGO = { 'load_address' : 0x... | pyocd/target/builtin/target_HC32M423.py |
from ...coresight.coresight_target import CoreSightTarget
from ...core.memory_map import (FlashRegion, RamRegion, MemoryMap)
from ...debug.svd.loader import SVDFile
class DBGMCU:
STPCTL = 0xE0042020
STPCTL_VALUE = 0x3FFB
TRACECTL = 0xE0042024
TRACECTL_VALUE = 0x0
FLASH_ALGO = { 'load_address' : 0x... | 0.401453 | 0.270631 |
import pickle
import pytest
from tekdrive.exceptions import ClientException
from tekdrive.models import File
from ...base import UnitTest
class TestFileModel(UnitTest):
def test_unknown_attribute(self):
with pytest.raises(AttributeError):
File(self.tekdrive, _data=dict(id="ae80")).unknown_at... | tests/unit/models/drive/test_file.py | import pickle
import pytest
from tekdrive.exceptions import ClientException
from tekdrive.models import File
from ...base import UnitTest
class TestFileModel(UnitTest):
def test_unknown_attribute(self):
with pytest.raises(AttributeError):
File(self.tekdrive, _data=dict(id="ae80")).unknown_at... | 0.583441 | 0.3863 |
import logging
import re
# Thanks to JGoutin @ https://github.com/JGoutin/movie_nfo_generator/blob/master/movie_nfo_generator/nfo.py
from pathlib import Path
from lxml.etree import Element, ElementTree, ParseError, SubElement
from .utils import PathDetails
logger = logging.getLogger(__name__)
pd = PathDetails
cla... | PinVidderer/nfo.py | import logging
import re
# Thanks to JGoutin @ https://github.com/JGoutin/movie_nfo_generator/blob/master/movie_nfo_generator/nfo.py
from pathlib import Path
from lxml.etree import Element, ElementTree, ParseError, SubElement
from .utils import PathDetails
logger = logging.getLogger(__name__)
pd = PathDetails
cla... | 0.712932 | 0.238711 |
from __future__ import annotations
from dataclasses import make_dataclass
from warnings import warn
import numpy as np
import pandas as pd
import statsmodels.api as sm
from statsmodels.regression.rolling import RollingOLS
from pqr.utils import align
def extract_annualizer(df_or_series: pd.DataFrame | pd.Series) ->... | pqr/analytics/utils.py | from __future__ import annotations
from dataclasses import make_dataclass
from warnings import warn
import numpy as np
import pandas as pd
import statsmodels.api as sm
from statsmodels.regression.rolling import RollingOLS
from pqr.utils import align
def extract_annualizer(df_or_series: pd.DataFrame | pd.Series) ->... | 0.880206 | 0.455501 |
import tensorflow as tf
from network import Network
layers = tf.keras.layers
applications = tf.keras.applications
class LargeVggNetwork(Network):
""" Extension of LargeNetwork that uses a pretrained VGG network to process
faces. """
def _build_custom(self):
trainable = not self._fine_tune
# Get pre... | itracker/common/network/large_vgg_network.py | import tensorflow as tf
from network import Network
layers = tf.keras.layers
applications = tf.keras.applications
class LargeVggNetwork(Network):
""" Extension of LargeNetwork that uses a pretrained VGG network to process
faces. """
def _build_custom(self):
trainable = not self._fine_tune
# Get pre... | 0.869963 | 0.703371 |
import sys
import os, platform
import subprocess
import socket
import os.path as path
from multiprocessing import Process
class ngrok(object):
def __init__(self, authtoken, port, nT, hash):
if authtoken:
self.token = authtoken
else:
print "Can't use Ngrok without a valid token"
system_type = os.name
sys... | core/ngrok.py | import sys
import os, platform
import subprocess
import socket
import os.path as path
from multiprocessing import Process
class ngrok(object):
def __init__(self, authtoken, port, nT, hash):
if authtoken:
self.token = authtoken
else:
print "Can't use Ngrok without a valid token"
system_type = os.name
sys... | 0.053372 | 0.088662 |
from django.core import mail as _mail
from django.test import TestCase
from gae2django.gaeapi.appengine.api import mail
class MailFunctionsTest(TestCase):
def test_send_mail(self):
mail.send_mail('<EMAIL>', '<EMAIL>',
'Subject', 'Body')
self.assertEqual(len(_mail.outbox),... | gae2django/tests/test_mail.py |
from django.core import mail as _mail
from django.test import TestCase
from gae2django.gaeapi.appengine.api import mail
class MailFunctionsTest(TestCase):
def test_send_mail(self):
mail.send_mail('<EMAIL>', '<EMAIL>',
'Subject', 'Body')
self.assertEqual(len(_mail.outbox),... | 0.368519 | 0.195844 |
import os
'''
Plugin handler for the seismicpi plugin.
'''
class SeedlinkPluginHandler:
# Create defaults
def __init__(self): pass
def push(self, seedlink):
# Check and set defaults
try: seedlink.param('sources.seismicpi.port_path_hint')
except: seedlink.setParam('sources.seismicpi.port_path_hint', ... | src/seedlink/templates/seismicpi/setup.py | import os
'''
Plugin handler for the seismicpi plugin.
'''
class SeedlinkPluginHandler:
# Create defaults
def __init__(self): pass
def push(self, seedlink):
# Check and set defaults
try: seedlink.param('sources.seismicpi.port_path_hint')
except: seedlink.setParam('sources.seismicpi.port_path_hint', ... | 0.409575 | 0.108378 |
import requests
from Crypto.Cipher import PKCS1_v1_5 as Cipher_pkcs1_v1_5
from Crypto.PublicKey import RSA
import base64
import random
import string
import json
# 把原账号绑定微信 以防丢失
# 1. qq先登录 绑定手机
# 2. 解绑qq，重新用手机登录
# 3. 填写邀请码，并且注销账号
# 4. 反复循环前三步
# 随机名字
def rand_name():
name = '通友{}'
return name.format(random.ra... | invite_user.py |
import requests
from Crypto.Cipher import PKCS1_v1_5 as Cipher_pkcs1_v1_5
from Crypto.PublicKey import RSA
import base64
import random
import string
import json
# 把原账号绑定微信 以防丢失
# 1. qq先登录 绑定手机
# 2. 解绑qq，重新用手机登录
# 3. 填写邀请码，并且注销账号
# 4. 反复循环前三步
# 随机名字
def rand_name():
name = '通友{}'
return name.format(random.ra... | 0.130743 | 0.095434 |
from typing import Any, Callable, List, Optional, TextIO, Type, TypeVar, Union, overload
from rich.console import Console
from rich.prompt import InvalidResponse, PromptBase
from rich.text import Text, TextType
IndexType = TypeVar("IndexType")
class IndexPrompt(PromptBase[IndexType]):
response_type: Union[Type[... | scripts/style/prompt.py | from typing import Any, Callable, List, Optional, TextIO, Type, TypeVar, Union, overload
from rich.console import Console
from rich.prompt import InvalidResponse, PromptBase
from rich.text import Text, TextType
IndexType = TypeVar("IndexType")
class IndexPrompt(PromptBase[IndexType]):
response_type: Union[Type[... | 0.734691 | 0.365032 |
import numpy as np
import matplotlib.pyplot as plt
from sklearn.ensemble import RandomForestRegressor
from sklearn.svm import SVR
from sklearn.neural_network import MLPRegressor
from sklearn.model_selection import train_test_split
from sklearn import preprocessing
from sklearn import metrics
import hdnntools as hd... | datatools/obpred.py | import numpy as np
import matplotlib.pyplot as plt
from sklearn.ensemble import RandomForestRegressor
from sklearn.svm import SVR
from sklearn.neural_network import MLPRegressor
from sklearn.model_selection import train_test_split
from sklearn import preprocessing
from sklearn import metrics
import hdnntools as hd... | 0.506591 | 0.526586 |
import os.path as op
import yaml
from bakery_lint import run_set
from bakery_lint.base import BakeryTestCase
class FontLint(object):
def __init__(self, bakery):
self.project_root = bakery.project_root
self.builddir = bakery.build_dir
self.bakery = bakery
def read_lint_testsresult(se... | bakery_cli/pipe/fontlint.py | import os.path as op
import yaml
from bakery_lint import run_set
from bakery_lint.base import BakeryTestCase
class FontLint(object):
def __init__(self, bakery):
self.project_root = bakery.project_root
self.builddir = bakery.build_dir
self.bakery = bakery
def read_lint_testsresult(se... | 0.235724 | 0.15511 |
import torch
from autoencoder import Autoencoder
import time
import numpy as np
# Begin of variables that can be edited by the user
trained_models = [
(Autoencoder.Autoencoder1(), "trained_autoencoders/a1.pt"),
(Autoencoder.Autoencoder2(), "trained_autoencoders/a2.pt"),
(Autoencoder.Autoencoder3(), "traine... | autoencoder/test_performance.py | import torch
from autoencoder import Autoencoder
import time
import numpy as np
# Begin of variables that can be edited by the user
trained_models = [
(Autoencoder.Autoencoder1(), "trained_autoencoders/a1.pt"),
(Autoencoder.Autoencoder2(), "trained_autoencoders/a2.pt"),
(Autoencoder.Autoencoder3(), "traine... | 0.791942 | 0.28688 |
from __future__ import unicode_literals
from django.db import migrations, models
import mezzanine.core.fields
class Migration(migrations.Migration):
dependencies = [
('theme', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='homepage',
name='f... | theme/migrations/0002_auto_20171223_2332.py | from __future__ import unicode_literals
from django.db import migrations, models
import mezzanine.core.fields
class Migration(migrations.Migration):
dependencies = [
('theme', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='homepage',
name='f... | 0.675229 | 0.181082 |
import asynctest
import asynctest.mock as mock
import asyncio
import aiohttp.web
from opsdroid.__main__ import configure_lang
from opsdroid.core import OpsDroid
from opsdroid.web import Web
from opsdroid import matchers
class TestMatchers(asynctest.TestCase):
"""Test the opsdroid matcher decorators."""
asy... | tests/test_matchers.py | import asynctest
import asynctest.mock as mock
import asyncio
import aiohttp.web
from opsdroid.__main__ import configure_lang
from opsdroid.core import OpsDroid
from opsdroid.web import Web
from opsdroid import matchers
class TestMatchers(asynctest.TestCase):
"""Test the opsdroid matcher decorators."""
asy... | 0.546496 | 0.500366 |
from polyaxon.polyflow import V1RunKind
from polyaxon.polyflow.matrix.kinds import V1MatrixKind
def get_fxt_grid_with_inputs_outputs():
return {
"version": 1.1,
"kind": "operation",
"name": "run",
"tags": ["key1", "value1"],
"params": {"image": {"value": "test"}, "lr": {"v... | platform/polycommon/polycommon/test_cases/fixtures/grid.py |
from polyaxon.polyflow import V1RunKind
from polyaxon.polyflow.matrix.kinds import V1MatrixKind
def get_fxt_grid_with_inputs_outputs():
return {
"version": 1.1,
"kind": "operation",
"name": "run",
"tags": ["key1", "value1"],
"params": {"image": {"value": "test"}, "lr": {"v... | 0.678753 | 0.464112 |
COCO_EMBEDDINGS = {
0: "unlabeled",
1: "person",
2: "bicycle",
3: "car",
4: "motorcycle",
5: "airplane",
6: "bus",
7: "train",
8: "truck",
9: "boat",
10: "traffic light",
11: "fire hydrant",
12: "street sign",
13: "stop sign",
14: "parking meter",
15: "be... | fcos/model/embeddings.py |
COCO_EMBEDDINGS = {
0: "unlabeled",
1: "person",
2: "bicycle",
3: "car",
4: "motorcycle",
5: "airplane",
6: "bus",
7: "train",
8: "truck",
9: "boat",
10: "traffic light",
11: "fire hydrant",
12: "street sign",
13: "stop sign",
14: "parking meter",
15: "be... | 0.657098 | 0.452717 |
import torch
import torch.nn as nn
class InstanceNorm(nn.Module):
def __init__(self, num_features, eps=1e-5, affine=True):
super(InstanceNorm, self).__init__()
self.num_features = num_features
self.eps = eps
self.affine = affine
if self.affine:
self.weight = nn... | fastgc/layers/norm.py | import torch
import torch.nn as nn
class InstanceNorm(nn.Module):
def __init__(self, num_features, eps=1e-5, affine=True):
super(InstanceNorm, self).__init__()
self.num_features = num_features
self.eps = eps
self.affine = affine
if self.affine:
self.weight = nn... | 0.944753 | 0.536434 |
import os
import subprocess
import re
class VirtualEnvironment(object):
"""Changing the virtualenvironment."""
def __init__(self, path):
self.path = path
def create(self, python):
subprocess.check_call(['virtualenv', "--python", python, self.path])
class PipInstaller(object):
"""Manag... | pbundle/installer.py | import os
import subprocess
import re
class VirtualEnvironment(object):
"""Changing the virtualenvironment."""
def __init__(self, path):
self.path = path
def create(self, python):
subprocess.check_call(['virtualenv', "--python", python, self.path])
class PipInstaller(object):
"""Manag... | 0.562177 | 0.115212 |