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 json
import logging
import re
import sys
import pandas
from curie import curie_test_pb2
from curie.exception import CurieTestException
from curie.metrics_util import MetricsUtil
from curie.util import CurieUtil
log = logging.getLogger(__name__)
class FioWorkloadResult(object):
"""
An object to represent... | curie/iogen/fio_result.py | import json
import logging
import re
import sys
import pandas
from curie import curie_test_pb2
from curie.exception import CurieTestException
from curie.metrics_util import MetricsUtil
from curie.util import CurieUtil
log = logging.getLogger(__name__)
class FioWorkloadResult(object):
"""
An object to represent... | 0.631253 | 0.329769 |
import logging
logger = logging.getLogger()
import struct
import subprocess
import time
import os
import re
import hwsim_utils
from hwsim import HWSimRadio
import hostapd
from wpasupplicant import WpaSupplicant
import fst_test_common
import fst_module_aux
from utils import alloc_fail, HwsimSkip
#enum - bad parameter... | tests/hwsim/test_fst_module.py |
import logging
logger = logging.getLogger()
import struct
import subprocess
import time
import os
import re
import hwsim_utils
from hwsim import HWSimRadio
import hostapd
from wpasupplicant import WpaSupplicant
import fst_test_common
import fst_module_aux
from utils import alloc_fail, HwsimSkip
#enum - bad parameter... | 0.291384 | 0.169269 |
from datetime import date
from django.db import models
from .managers import (
VistaManager,
InvestigacoesManager,
ProcessosManager,
FinalizadosManager,
)
class Usuario(models.Model):
username = models.CharField(max_length=255, unique=True)
last_login = models.DateField(auto_now=True)
da... | dominio/models.py | from datetime import date
from django.db import models
from .managers import (
VistaManager,
InvestigacoesManager,
ProcessosManager,
FinalizadosManager,
)
class Usuario(models.Model):
username = models.CharField(max_length=255, unique=True)
last_login = models.DateField(auto_now=True)
da... | 0.462473 | 0.107157 |
from teanaps import configure as con
from teanaps.visualization import GraphVisualizer
class SyntaxAnalyzer():
def __init__(self):
None
def parse(self, word_tagged_pos_list, word_tagged_ner_list):
sa_result = []
ner_pos = "NNP"
word_tagged_ner_list.sort(key=lambda elem: l... | nlp/SyntaxAnalyzer.py | from teanaps import configure as con
from teanaps.visualization import GraphVisualizer
class SyntaxAnalyzer():
def __init__(self):
None
def parse(self, word_tagged_pos_list, word_tagged_ner_list):
sa_result = []
ner_pos = "NNP"
word_tagged_ner_list.sort(key=lambda elem: l... | 0.168173 | 0.167015 |
from os import path, makedirs
from shutil import rmtree
from sys import stderr, exit
import vcf
{{ runcmd }}
{{ mem2 }}
{{ params2CmdArgs }}
tmpdir = path.join ("{{args.tmpdir}}", "{{proc.id}}.{{i.infile | fn}}.{{job.index}}")
if not path.exists (tmpdir): makedirs (tmpdir)
gz = {{args.gz | lambda x: bool(x)}}... | bioprocs/scripts/vcf/pVcfAnno.py | from os import path, makedirs
from shutil import rmtree
from sys import stderr, exit
import vcf
{{ runcmd }}
{{ mem2 }}
{{ params2CmdArgs }}
tmpdir = path.join ("{{args.tmpdir}}", "{{proc.id}}.{{i.infile | fn}}.{{job.index}}")
if not path.exists (tmpdir): makedirs (tmpdir)
gz = {{args.gz | lambda x: bool(x)}}... | 0.129595 | 0.102934 |
import time
from tkinter import *
from datetime import datetime
root = Tk()
root.title("Day of the Week")
root.geometry("500x500")
def resetDay():
with open('day.txt', 'w') as f:
f.write("0")
def catchErrors():
try:
with open('day.txt', 'r') as e:
read = e.read()
... | main.py | import time
from tkinter import *
from datetime import datetime
root = Tk()
root.title("Day of the Week")
root.geometry("500x500")
def resetDay():
with open('day.txt', 'w') as f:
f.write("0")
def catchErrors():
try:
with open('day.txt', 'r') as e:
read = e.read()
... | 0.144149 | 0.17006 |
import json
import logging
import os
from azureml.core import Dataset, Datastore, Experiment, Model, Webservice, Workspace
from azureml.core.compute import ComputeTarget
from azureml.core.model import InferenceConfig
from azureml.core.resource_configuration import ResourceConfiguration
from azureml.core.webservice imp... | src/01_long_script.py | import json
import logging
import os
from azureml.core import Dataset, Datastore, Experiment, Model, Webservice, Workspace
from azureml.core.compute import ComputeTarget
from azureml.core.model import InferenceConfig
from azureml.core.resource_configuration import ResourceConfiguration
from azureml.core.webservice imp... | 0.381104 | 0.20832 |
import json;
import logging
import pytest
import string
import collections
import pytest
from streamsets.sdk import sdc_api
from streamsets.testframework.markers import gcp, sdc_min_version
from streamsets.testframework.utils import get_random_string
logger = logging.getLogger(__name__)
pytestmark = [pytest.mark.ca... | stage/test_google_cloud_storage_executor.py |
import json;
import logging
import pytest
import string
import collections
import pytest
from streamsets.sdk import sdc_api
from streamsets.testframework.markers import gcp, sdc_min_version
from streamsets.testframework.utils import get_random_string
logger = logging.getLogger(__name__)
pytestmark = [pytest.mark.ca... | 0.47244 | 0.271907 |
import argparse
import doctest
import faulthandler
import os
import os.path
import platform
import sys
import unittest
from typing import Any, Iterator
import cffi # type: ignore
from . import doctests
def main(args: Any) -> None:
def list_of_tests_gen(s: Any) -> Iterator[Any]:
for test in s:
... | pymunk/tests/__main__.py | import argparse
import doctest
import faulthandler
import os
import os.path
import platform
import sys
import unittest
from typing import Any, Iterator
import cffi # type: ignore
from . import doctests
def main(args: Any) -> None:
def list_of_tests_gen(s: Any) -> Iterator[Any]:
for test in s:
... | 0.192046 | 0.244713 |
import calendar
import datetime
import inspect
import os
import pickle
import win32api
from pyicloud import *
from pyicloud.exceptions import PyiCloudAPIResponseError, PyiCloudFailedLoginException,\
PyiCloudServiceNotActivatedErrror
from requests.exceptions import ConnectionError
import sanityCheck
class Cmd:
... | AutomatedDownloader.py | import calendar
import datetime
import inspect
import os
import pickle
import win32api
from pyicloud import *
from pyicloud.exceptions import PyiCloudAPIResponseError, PyiCloudFailedLoginException,\
PyiCloudServiceNotActivatedErrror
from requests.exceptions import ConnectionError
import sanityCheck
class Cmd:
... | 0.210523 | 0.08733 |
from typing import overload, Union
def format_id(obj):
hex_ = hex(id(obj))
inter = str(hex_).split('0x')[-1].upper()
return '0x' + inter
def typename(obj):
return eval("type(obj).__name__", {'obj': obj, **globals()}, locals())
class geometry_object(object):
__slots__ = []
__type__ = 'def... | multi_tools/math/geometrical.py | from typing import overload, Union
def format_id(obj):
hex_ = hex(id(obj))
inter = str(hex_).split('0x')[-1].upper()
return '0x' + inter
def typename(obj):
return eval("type(obj).__name__", {'obj': obj, **globals()}, locals())
class geometry_object(object):
__slots__ = []
__type__ = 'def... | 0.898397 | 0.400222 |
import math
from . import look_at, look, perspective, rasterize_silhouettes, rasterize_rgba, rasterize_rgb, rasterize_depth
from .rasterize_param import RasterizeParam, RasterizeHyperparam
class Renderer(object):
def __init__(self):
# rendering
self.image_size = 256
self.anti_aliasing = T... | neural_renderer_torch/renderer.py | import math
from . import look_at, look, perspective, rasterize_silhouettes, rasterize_rgba, rasterize_rgb, rasterize_depth
from .rasterize_param import RasterizeParam, RasterizeHyperparam
class Renderer(object):
def __init__(self):
# rendering
self.image_size = 256
self.anti_aliasing = T... | 0.826957 | 0.431524 |
import routes
from senlin.api.openstack.v1 import actions
from senlin.api.openstack.v1 import build_info
from senlin.api.openstack.v1 import cluster_policies
from senlin.api.openstack.v1 import clusters
from senlin.api.openstack.v1 import events
from senlin.api.openstack.v1 import nodes
from senlin.api.openstack.v1 i... | senlin/api/openstack/v1/__init__.py |
import routes
from senlin.api.openstack.v1 import actions
from senlin.api.openstack.v1 import build_info
from senlin.api.openstack.v1 import cluster_policies
from senlin.api.openstack.v1 import clusters
from senlin.api.openstack.v1 import events
from senlin.api.openstack.v1 import nodes
from senlin.api.openstack.v1 i... | 0.399812 | 0.159087 |
import sys
import os
dir_path = os.path.dirname(os.path.realpath(__file__))
sys.path.append(os.path.abspath(os.path.join(dir_path, os.pardir)))
import unittest
import tfkit
from transformers import AutoTokenizer, BertTokenizer
class TestTok(unittest.TestCase):
ROOT_DIR = os.path.dirname(os.path.abspath(__file__... | tfkit/test/test_utility_tok.py | import sys
import os
dir_path = os.path.dirname(os.path.realpath(__file__))
sys.path.append(os.path.abspath(os.path.join(dir_path, os.pardir)))
import unittest
import tfkit
from transformers import AutoTokenizer, BertTokenizer
class TestTok(unittest.TestCase):
ROOT_DIR = os.path.dirname(os.path.abspath(__file__... | 0.306838 | 0.184327 |
import os
import streamlit as st
import pickle
import spacy
from spacy import displacy
import os
HTML_WRAPPER = """<div style="overflow-x: auto; border: 1px solid #e6e9ef; border-radius: 0.25rem; padding: 1rem; margin-bottom: 2.5rem">{}</div>"""
def load_model(model_path):
''' Loads a pre-trained model for pred... | app.py | import os
import streamlit as st
import pickle
import spacy
from spacy import displacy
import os
HTML_WRAPPER = """<div style="overflow-x: auto; border: 1px solid #e6e9ef; border-radius: 0.25rem; padding: 1rem; margin-bottom: 2.5rem">{}</div>"""
def load_model(model_path):
''' Loads a pre-trained model for pred... | 0.419767 | 0.219254 |
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__ = ['MetricRuleTemplateArgs', 'MetricRuleTemplate']
@pulumi.input_type
class MetricRuleTemplateArgs:
def __init__(... | sdk/python/pulumi_alicloud/cms/metric_rule_template.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__ = ['MetricRuleTemplateArgs', 'MetricRuleTemplate']
@pulumi.input_type
class MetricRuleTemplateArgs:
def __init__(... | 0.904279 | 0.167729 |
from typing import Any, Dict, Optional, TypedDict
import requests
from .models import (
APIServer,
BooleanResponse,
CartPaymentRefundRequest,
CartPaymentRefundResponse,
CreateUpdateCartRequest,
CreateUpdateCartResponse,
GetCartOrdersResponse,
GetCartResponse,
GetCartsResponse,
... | src/msb/msb.py | from typing import Any, Dict, Optional, TypedDict
import requests
from .models import (
APIServer,
BooleanResponse,
CartPaymentRefundRequest,
CartPaymentRefundResponse,
CreateUpdateCartRequest,
CreateUpdateCartResponse,
GetCartOrdersResponse,
GetCartResponse,
GetCartsResponse,
... | 0.863046 | 0.106644 |
import functools
from oslo_log import log as logging
from oslo_serialization import jsonutils as json
from tempest.lib.common import rest_client
from tempest.lib import exceptions as lib_exc
from six.moves.urllib import parse as urllib
import six
from designate_tempest_plugin.common import models
LOG = logging.getLo... | designate_interop_tempest_plugin/services/dns/json/base.py | import functools
from oslo_log import log as logging
from oslo_serialization import jsonutils as json
from tempest.lib.common import rest_client
from tempest.lib import exceptions as lib_exc
from six.moves.urllib import parse as urllib
import six
from designate_tempest_plugin.common import models
LOG = logging.getLo... | 0.74008 | 0.156427 |
from pyridge.util import metric_dict, prepare_data
from pyridge.util.cross import get_best_param, product_dict
from pyridge import algorithm_dict
import numpy as np
import logging
import os
from time import perf_counter
logger = logging.getLogger('pyridge')
def check_algorithm(folder,
dataset,
... | pyridge/experiment/check.py | from pyridge.util import metric_dict, prepare_data
from pyridge.util.cross import get_best_param, product_dict
from pyridge import algorithm_dict
import numpy as np
import logging
import os
from time import perf_counter
logger = logging.getLogger('pyridge')
def check_algorithm(folder,
dataset,
... | 0.818773 | 0.404037 |
from unittest import mock
from oslo_utils import importutils
from ironic.common import exception
from ironic.conductor import task_manager
from ironic.drivers.modules.redfish import boot as redfish_boot
from ironic.drivers.modules.redfish import utils as redfish_utils
from ironic.drivers.modules.redfish import vend... | ironic/tests/unit/drivers/modules/redfish/test_vendor.py |
from unittest import mock
from oslo_utils import importutils
from ironic.common import exception
from ironic.conductor import task_manager
from ironic.drivers.modules.redfish import boot as redfish_boot
from ironic.drivers.modules.redfish import utils as redfish_utils
from ironic.drivers.modules.redfish import vend... | 0.65368 | 0.187077 |
import os
import argparse
import functools
import librosa
import shutil
import sys
sys.path.insert(0, 'preprocess')
import preprocess as p
import subprocess as sp
from shutil import copyfile
import torch
from torch.utils.data import DataLoader
from torchvision import transforms
from model_comp import *
from networks... | demo.py | import os
import argparse
import functools
import librosa
import shutil
import sys
sys.path.insert(0, 'preprocess')
import preprocess as p
import subprocess as sp
from shutil import copyfile
import torch
from torch.utils.data import DataLoader
from torchvision import transforms
from model_comp import *
from networks... | 0.384334 | 0.156298 |
import logging
from typing import Any
from unittest.mock import patch
from google_nest_sdm.exceptions import (
ApiException,
AuthException,
ConfigurationException,
SubscriberException,
)
import pytest
from homeassistant.components.nest import DOMAIN
from homeassistant.config_entries import ConfigEntry... | tests/components/nest/test_init_sdm.py | import logging
from typing import Any
from unittest.mock import patch
from google_nest_sdm.exceptions import (
ApiException,
AuthException,
ConfigurationException,
SubscriberException,
)
import pytest
from homeassistant.components.nest import DOMAIN
from homeassistant.config_entries import ConfigEntry... | 0.752468 | 0.319533 |
import os
import tarfile
import sys
import getnwversion
import shutil
import distutils.core
import re
script_dir = os.path.dirname(__file__)
nw_root = os.path.normpath(os.path.join(script_dir, os.pardir))
project_root = os.path.normpath(os.path.join(nw_root, os.pardir, os.pardir))
third_party_dir = os.path.normpath(... | tools/make-nw-headers.py | import os
import tarfile
import sys
import getnwversion
import shutil
import distutils.core
import re
script_dir = os.path.dirname(__file__)
nw_root = os.path.normpath(os.path.join(script_dir, os.pardir))
project_root = os.path.normpath(os.path.join(nw_root, os.pardir, os.pardir))
third_party_dir = os.path.normpath(... | 0.039048 | 0.051606 |
import argparse
import sys
import os.path
import time
import math
import numpy as np
import rclpy
from rclpy.node import Node
from duckietown_msgs.msg import WheelsCmdStamped, Twist2DStamped
from duckietown_msgs.srv import SetValue
from std_srvs.srv import Empty
WHEEL_GAIN = 0.5
class InverseKinematicsNode(Node):
... | 05-teleop/dagu_car/dagu_car/inverse_kinematics_node.py |
import argparse
import sys
import os.path
import time
import math
import numpy as np
import rclpy
from rclpy.node import Node
from duckietown_msgs.msg import WheelsCmdStamped, Twist2DStamped
from duckietown_msgs.srv import SetValue
from std_srvs.srv import Empty
WHEEL_GAIN = 0.5
class InverseKinematicsNode(Node):
... | 0.383988 | 0.115736 |
from abc import ABC
from typing import Optional, Callable, Iterable, Union
try: # Assume we're a sub-module in a package.
from utils import arguments as arg
from utils.decorators import deprecated_with_alternative
from interfaces import AUTO, Auto, AutoBool, AutoContext, Class
from connectors.abstract... | connectors/abstract/abstract_folder.py | from abc import ABC
from typing import Optional, Callable, Iterable, Union
try: # Assume we're a sub-module in a package.
from utils import arguments as arg
from utils.decorators import deprecated_with_alternative
from interfaces import AUTO, Auto, AutoBool, AutoContext, Class
from connectors.abstract... | 0.887107 | 0.172015 |
from .datalog import Fact
from .exceptions import NeuroLangException
from .expression_walker import PatternWalker, add_match, expression_iterator
from .expressions import Constant, ExpressionBlock, FunctionApplication, Symbol
from .logic import ExistentialPredicate, Implication
from .utils.orderedset import OrderedSet
... | neurolang/warded_datalog.py | from .datalog import Fact
from .exceptions import NeuroLangException
from .expression_walker import PatternWalker, add_match, expression_iterator
from .expressions import Constant, ExpressionBlock, FunctionApplication, Symbol
from .logic import ExistentialPredicate, Implication
from .utils.orderedset import OrderedSet
... | 0.530966 | 0.334508 |
from random import randint
class Aloca:
def __init__(self, voluntarios, leitores, som):
self.voluntarios = voluntarios
self.leitores = leitores
self.som = som
self._idx = [0, 0, 0]
self._max = [len(voluntarios), len(leitores), len(som)]
def __inc_and_get_idx(self, indic... | brincadeira_alocacao.py | from random import randint
class Aloca:
def __init__(self, voluntarios, leitores, som):
self.voluntarios = voluntarios
self.leitores = leitores
self.som = som
self._idx = [0, 0, 0]
self._max = [len(voluntarios), len(leitores), len(som)]
def __inc_and_get_idx(self, indic... | 0.323273 | 0.188866 |
"""StructuredTensor array ops."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops.ragged import... | tensorflow/python/ops/structured/structured_array_ops.py | """StructuredTensor array ops."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops.ragged import... | 0.962072 | 0.615579 |
import hoomd
import pytest
import numpy
import itertools
from copy import deepcopy
def test_brownian_attributes():
"""Test attributes of the Brownian integrator before attaching."""
all_ = hoomd.filter.All()
constant = hoomd.variant.Constant(2.0)
brownian = hoomd.md.methods.Brownian(filter = all_, kT=... | hoomd/md/pytest/test_methods.py | import hoomd
import pytest
import numpy
import itertools
from copy import deepcopy
def test_brownian_attributes():
"""Test attributes of the Brownian integrator before attaching."""
all_ = hoomd.filter.All()
constant = hoomd.variant.Constant(2.0)
brownian = hoomd.md.methods.Brownian(filter = all_, kT=... | 0.851953 | 0.647102 |
import pandas as pd
import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn_pandas.util import validate_columns_exist, validate_dataframe
class DateTransform(BaseEstimator, TransformerMixin):
def __init__(self, errors='coerce', dayfirst=False, yearfirst=False, utc=None, format=No... | sklearn_pandas/transformers/date_transform.py | import pandas as pd
import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn_pandas.util import validate_columns_exist, validate_dataframe
class DateTransform(BaseEstimator, TransformerMixin):
def __init__(self, errors='coerce', dayfirst=False, yearfirst=False, utc=None, format=No... | 0.644113 | 0.256343 |
import pytest
from faker import Faker
fake = Faker()
"""
Get rooms or room.
"""
def test_get_all_rooms(client):
response = client.get("/v1/rooms/")
assert response.status_code == 200
assert type(response.json()) == list
def test_try_get_not_found_room(client):
response = client.get("/v1/rooms/10... | tests/api/test_api_rooms.py | import pytest
from faker import Faker
fake = Faker()
"""
Get rooms or room.
"""
def test_get_all_rooms(client):
response = client.get("/v1/rooms/")
assert response.status_code == 200
assert type(response.json()) == list
def test_try_get_not_found_room(client):
response = client.get("/v1/rooms/10... | 0.610686 | 0.579757 |
r"""
This code was generated by
\ / _ _ _| _ _
| (_)\/(_)(_|\/| |(/_ v1.0.0
/ /
"""
from twilio.base import deserialize
from twilio.base import values
from twilio.base.instance_context import InstanceContext
from twilio.base.instance_resource import InstanceResource
from twilio.base.list_resource ... | twilio/rest/events/v1/subscription/subscribed_event.py | r"""
This code was generated by
\ / _ _ _| _ _
| (_)\/(_)(_|\/| |(/_ v1.0.0
/ /
"""
from twilio.base import deserialize
from twilio.base import values
from twilio.base.instance_context import InstanceContext
from twilio.base.instance_resource import InstanceResource
from twilio.base.list_resource ... | 0.860017 | 0.162929 |
from .base import * # noqa
from .base import env
import os
# GENERAL
# ------------------------------------------------------------------------------
SECRET_KEY = env(
"DJANGO_SECRET_KEY", default="9f43d31e_s#)&)j-^zjz(tgwr4yj1y=npy!tz$(-&#=w8a=g7l"
)
DEBUG = env.bool("DJANGO_DEBUG", False)
ALLOWED_HOSTS = en... | rest_api/config/settings/production.py | from .base import * # noqa
from .base import env
import os
# GENERAL
# ------------------------------------------------------------------------------
SECRET_KEY = env(
"DJANGO_SECRET_KEY", default="9f43d31e_s#)&)j-^zjz(tgwr4yj1y=npy!tz$(-&#=w8a=g7l"
)
DEBUG = env.bool("DJANGO_DEBUG", False)
ALLOWED_HOSTS = en... | 0.342681 | 0.087252 |
import sys
import socket
import struct
import urllib.parse
TOPIC_PACKET_ID = b'\x83'
TOPIC_RESPONSE_STRING = b'\x06'
TOPIC_RESPONSE_FLOAT = b'\x2a'
def send(address, port, query):
"""Send a Topic() packet to the specified server. Returns the response from the server.
:param address: address (IP or DNS) of th... | src/byond/topic.py | import sys
import socket
import struct
import urllib.parse
TOPIC_PACKET_ID = b'\x83'
TOPIC_RESPONSE_STRING = b'\x06'
TOPIC_RESPONSE_FLOAT = b'\x2a'
def send(address, port, query):
"""Send a Topic() packet to the specified server. Returns the response from the server.
:param address: address (IP or DNS) of th... | 0.442396 | 0.247538 |
import json
import types
from functools import partial
from unittest.mock import patch
from urllib.parse import urljoin
import httpretty
import pytest
from requests.exceptions import HTTPError
from thenewboston_node.core.clients.node import requests_get, requests_post
@pytest.fixture(autouse=True)
def outer_web_moc... | thenewboston_node/core/tests/fixtures/mocks.py | import json
import types
from functools import partial
from unittest.mock import patch
from urllib.parse import urljoin
import httpretty
import pytest
from requests.exceptions import HTTPError
from thenewboston_node.core.clients.node import requests_get, requests_post
@pytest.fixture(autouse=True)
def outer_web_moc... | 0.409693 | 0.109468 |
from features.git_commit_features import GitCommitFeatures
from copy import deepcopy
from git_analysis.analyze_git_logs import retrieve_git_logs
from object.features import HistoryFeatures as HistoryFeaturesObj
class HistoryFeatures(GitCommitFeatures):
def __init__(self, rgcm):
super(HistoryFeatures, self... | features/jit-features/features/history.py | from features.git_commit_features import GitCommitFeatures
from copy import deepcopy
from git_analysis.analyze_git_logs import retrieve_git_logs
from object.features import HistoryFeatures as HistoryFeaturesObj
class HistoryFeatures(GitCommitFeatures):
def __init__(self, rgcm):
super(HistoryFeatures, self... | 0.316158 | 0.272629 |
from base import *
class InitPassthrough(TypedefTestCase):
@unittest.skipIf(py_v.major > 2,
"not supported in this python version")
def test_init_passthrough_bad_cstringio_permissions(self):
from cStringIO import StringIO
S = struct([
(DWORD, 'd'),
... | tests/test_init.py | from base import *
class InitPassthrough(TypedefTestCase):
@unittest.skipIf(py_v.major > 2,
"not supported in this python version")
def test_init_passthrough_bad_cstringio_permissions(self):
from cStringIO import StringIO
S = struct([
(DWORD, 'd'),
... | 0.538255 | 0.402862 |
import json
from tests.TestingSuite import BaseTestingSuite
class TestSignupResource(BaseTestingSuite):
def setUp(self):
print("Testing Signup resources...")
super().setUp()
def test_successful_signup(self):
# create payload
payload = json.dumps({
"email": '<EMAIL>... | tests/test_signup.py | import json
from tests.TestingSuite import BaseTestingSuite
class TestSignupResource(BaseTestingSuite):
def setUp(self):
print("Testing Signup resources...")
super().setUp()
def test_successful_signup(self):
# create payload
payload = json.dumps({
"email": '<EMAIL>... | 0.31542 | 0.129073 |
from __future__ import annotations
__all__: list[str] = ["sudo_component", "load_sudo", "unload_sudo"]
import ast
import asyncio
import contextlib
import inspect
import io
import json
import re
import time
import traceback
import typing
from collections import abc as collections
import hikari
import tanjun
import yu... | reinhard/components/sudo.py | from __future__ import annotations
__all__: list[str] = ["sudo_component", "load_sudo", "unload_sudo"]
import ast
import asyncio
import contextlib
import inspect
import io
import json
import re
import time
import traceback
import typing
from collections import abc as collections
import hikari
import tanjun
import yu... | 0.672009 | 0.23328 |
from setuptools import setup, find_packages
from setuptools.command.install import install
import os
from lyrics import __version__, CONFIG_PATH
this_directory = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
c... | setup.py | from setuptools import setup, find_packages
from setuptools.command.install import install
import os
from lyrics import __version__, CONFIG_PATH
this_directory = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
c... | 0.252937 | 0.068475 |
import re
from .config import WiktionaryConfig
from wikitextprocessor import ALL_LANGUAGES, Wtp
# Keys in ``data`` that can only have string values (a list of them)
str_keys = ("tags", "glosses")
# Keys in ``data`` that can only have dict values (a list of them)
dict_keys = ("pronunciations", "senses", "synonyms", "r... | wiktextract/datautils.py |
import re
from .config import WiktionaryConfig
from wikitextprocessor import ALL_LANGUAGES, Wtp
# Keys in ``data`` that can only have string values (a list of them)
str_keys = ("tags", "glosses")
# Keys in ``data`` that can only have dict values (a list of them)
dict_keys = ("pronunciations", "senses", "synonyms", "r... | 0.54698 | 0.50952 |
import paho.mqtt.client as mqtt
import sys,os, time
from threading import Thread
from json import loads, dumps
from datetime import datetime
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), ".."))
from adapter.mtconnect_adapter import Adapter
from adapter.data_item import DataItem, Event, Simp... | mqttadapter/mqttadapter.py | import paho.mqtt.client as mqtt
import sys,os, time
from threading import Thread
from json import loads, dumps
from datetime import datetime
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), ".."))
from adapter.mtconnect_adapter import Adapter
from adapter.data_item import DataItem, Event, Simp... | 0.338624 | 0.147494 |
import pprint
import re # noqa: F401
import six
class Person(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the value ... | python/swagger_client/models/person.py | import pprint
import re # noqa: F401
import six
class Person(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the value ... | 0.673084 | 0.102664 |
import os
import sys
import random
import math
import numpy as np
import skimage.io
from datetime import datetime
import urllib.request
from keras_face.library.siamese import SiameseFaceNet
# Directory to save logs and trained model
MODEL_DIR = os.path.join(ROOT_DIR, "logs")
# Local path to trained weights file
COCO_... | siamese_demo_predict.py | import os
import sys
import random
import math
import numpy as np
import skimage.io
from datetime import datetime
import urllib.request
from keras_face.library.siamese import SiameseFaceNet
# Directory to save logs and trained model
MODEL_DIR = os.path.join(ROOT_DIR, "logs")
# Local path to trained weights file
COCO_... | 0.194827 | 0.187281 |
from typing import Any, Callable, Dict, Tuple
from memory_profiler import profile
from os.path import realpath, dirname, sep
import cProfile
from ..src.shell import Shell, Capture # TODO: Use process and capture
from re import compile, match
from json import dumps
profile_txt = realpath(dirname(__file__) + f'{sep}pro... | tests/profiler.py | from typing import Any, Callable, Dict, Tuple
from memory_profiler import profile
from os.path import realpath, dirname, sep
import cProfile
from ..src.shell import Shell, Capture # TODO: Use process and capture
from re import compile, match
from json import dumps
profile_txt = realpath(dirname(__file__) + f'{sep}pro... | 0.330687 | 0.207616 |
import json, csv, os, sys
from collections import Counter
volgender = dict()
voldate = dict()
volbirth = dict()
mindate = 3000
maxdate = 0
with open('pre23_corrected_metadata.csv', encoding = 'utf-8') as f:
reader = csv.DictReader(f)
for row in reader:
volgender[row['docid']] = row['authgender']
... | pre23hathi/aggregate_old_authgender.py |
import json, csv, os, sys
from collections import Counter
volgender = dict()
voldate = dict()
volbirth = dict()
mindate = 3000
maxdate = 0
with open('pre23_corrected_metadata.csv', encoding = 'utf-8') as f:
reader = csv.DictReader(f)
for row in reader:
volgender[row['docid']] = row['authgender']
... | 0.251464 | 0.147924 |
import sys
import typing
import bpy_types
class PhysicButtonsPanel:
bl_context = None
''' '''
bl_region_type = None
''' '''
bl_space_type = None
''' '''
def poll(self, context):
'''
'''
pass
class PHYSICS_PT_softbody(PhysicButtonsPanel, bpy_types.Panel,
... | typings/bl_ui/properties_physics_softbody.py | import sys
import typing
import bpy_types
class PhysicButtonsPanel:
bl_context = None
''' '''
bl_region_type = None
''' '''
bl_space_type = None
''' '''
def poll(self, context):
'''
'''
pass
class PHYSICS_PT_softbody(PhysicButtonsPanel, bpy_types.Panel,
... | 0.217088 | 0.094803 |
from descarteslabs.common.graft import client
from ..core import typecheck_promote, GenericProxytype, merge_params
from ..containers import Dict, Tuple
from ..function import Function
from .image import Image
from .imagecollection import ImageCollection
class ImageCollectionGroupby(GenericProxytype):
"""
D... | descarteslabs/workflows/types/geospatial/groupby.py | from descarteslabs.common.graft import client
from ..core import typecheck_promote, GenericProxytype, merge_params
from ..containers import Dict, Tuple
from ..function import Function
from .image import Image
from .imagecollection import ImageCollection
class ImageCollectionGroupby(GenericProxytype):
"""
D... | 0.885012 | 0.646683 |
import configparser
import logging
from collections import OrderedDict
from enum import IntEnum
from typing import List, Iterable, Dict
import natlink
class NoGoodConfigFoundException(natlink.NatError):
pass
class LogLevel(IntEnum):
CRITICAL = logging.CRITICAL
FATAL = logging.FATAL
ERROR = logging.... | natlink/config.py | import configparser
import logging
from collections import OrderedDict
from enum import IntEnum
from typing import List, Iterable, Dict
import natlink
class NoGoodConfigFoundException(natlink.NatError):
pass
class LogLevel(IntEnum):
CRITICAL = logging.CRITICAL
FATAL = logging.FATAL
ERROR = logging.... | 0.605566 | 0.062933 |
from load_readings import get_readings
from datetime import datetime as dt
import billing_calendar as bc
import tariff
def calculate_bill(member_id=None, account_id=None, bill_date=None):
"""
calculates the bill for the given bill_date
"""
billing_calendar = bc.get_billing_calendar(bill_date)
dat... | bill_member.py | from load_readings import get_readings
from datetime import datetime as dt
import billing_calendar as bc
import tariff
def calculate_bill(member_id=None, account_id=None, bill_date=None):
"""
calculates the bill for the given bill_date
"""
billing_calendar = bc.get_billing_calendar(bill_date)
dat... | 0.740456 | 0.404272 |
import networkx as nx
import numpy as np
from scipy import integrate
def get_graph_backbone(G, alpha_t=0.8):
'''Gets the backbone of a given graph `G`.'''
G_disp = compute_disparity_filter(G)
G_backbone = apply_disparity_filter(G_disp, alpha_t, cut_mode='or')
return G_backbone
def compute_disparity_... | backbone_network/backbone.py | import networkx as nx
import numpy as np
from scipy import integrate
def get_graph_backbone(G, alpha_t=0.8):
'''Gets the backbone of a given graph `G`.'''
G_disp = compute_disparity_filter(G)
G_backbone = apply_disparity_filter(G_disp, alpha_t, cut_mode='or')
return G_backbone
def compute_disparity_... | 0.812942 | 0.593609 |
import pickle
import random
from cargo import *
from cargo.statements import Delete
from unit_tests import configure
from unit_tests.configure import new_field, new_clause, new_expression, \
new_function
class TestDelete(configure.StatementTestCase):
def test___init__(self):
... | unit_tests/statements/DELETE.py | import pickle
import random
from cargo import *
from cargo.statements import Delete
from unit_tests import configure
from unit_tests.configure import new_field, new_clause, new_expression, \
new_function
class TestDelete(configure.StatementTestCase):
def test___init__(self):
... | 0.482673 | 0.224906 |
from pysparkling import *
hc = H2OContext.getOrCreate(sc)
import time
import h2o
from h2o.estimators.deeplearning import H2OAutoEncoderEstimator, H2ODeepLearningEstimator
input1=h2o.import_file("/home/admin/RECO/cluster8.csv",sep=",")
input_df = input1.as_data_frame(use_pandas=True)
input=input_df[['R_MSISDN','R... | Spark/DL_H2O.py | from pysparkling import *
hc = H2OContext.getOrCreate(sc)
import time
import h2o
from h2o.estimators.deeplearning import H2OAutoEncoderEstimator, H2ODeepLearningEstimator
input1=h2o.import_file("/home/admin/RECO/cluster8.csv",sep=",")
input_df = input1.as_data_frame(use_pandas=True)
input=input_df[['R_MSISDN','R... | 0.324021 | 0.166641 |
import sys
import numpy as np
from vispy import app, scene
# vertex positions of data to draw
N = 200
pos = np.zeros((N, 2), dtype=np.float32)
x_lim = [50., 750.]
y_lim = [-2., 2.]
pos[:, 0] = np.linspace(x_lim[0], x_lim[1], N)
pos[:, 1] = np.random.normal(size=N)
# color array
color = np.ones((N, 4), dtype=np.float3... | examples/basics/scene/linear_region.py | import sys
import numpy as np
from vispy import app, scene
# vertex positions of data to draw
N = 200
pos = np.zeros((N, 2), dtype=np.float32)
x_lim = [50., 750.]
y_lim = [-2., 2.]
pos[:, 0] = np.linspace(x_lim[0], x_lim[1], N)
pos[:, 1] = np.random.normal(size=N)
# color array
color = np.ones((N, 4), dtype=np.float3... | 0.412412 | 0.626952 |
import controller
import motor_handle
import os
import processing
if __name__ == '__main__': # Program start from here
# code
try:
print("Configuring Keyboard Controller Input...")
# Select current input device based on what is connected
inputDev = controller.Input()
manual = m... | main_clean.py | import controller
import motor_handle
import os
import processing
if __name__ == '__main__': # Program start from here
# code
try:
print("Configuring Keyboard Controller Input...")
# Select current input device based on what is connected
inputDev = controller.Input()
manual = m... | 0.155719 | 0.083217 |
from docassemble.base.util import get_config, space_to_underscore, Individual
from docassemble.AssemblyLine.al_document import ALDocument, ALDocumentBundle
import os
from webdav3.client import Client
from datetime import datetime
from typing import Union
__all__ = ["publish_to_webdav", "get_new_bundle_path_name"]
def... | docassemble/ReidelTheme/publish_to_webdav.py | from docassemble.base.util import get_config, space_to_underscore, Individual
from docassemble.AssemblyLine.al_document import ALDocument, ALDocumentBundle
import os
from webdav3.client import Client
from datetime import datetime
from typing import Union
__all__ = ["publish_to_webdav", "get_new_bundle_path_name"]
def... | 0.664105 | 0.185559 |
import os
import tempfile
import pytest
from pji.control.model import RunResultStatus
from pji.service.command import CommandCollectionTemplate, CommandTemplate
# noinspection DuplicatedCode
@pytest.mark.unittest
class TestServiceCommandCollection:
def test_template(self):
cct = CommandCollectionTemplat... | test/service/command/test_collection.py | import os
import tempfile
import pytest
from pji.control.model import RunResultStatus
from pji.service.command import CommandCollectionTemplate, CommandTemplate
# noinspection DuplicatedCode
@pytest.mark.unittest
class TestServiceCommandCollection:
def test_template(self):
cct = CommandCollectionTemplat... | 0.381104 | 0.299598 |
import re
from django.apps import apps
from rest_framework.exceptions import NotFound, PermissionDenied
from rest_framework import generics, permissions as drf_permissions
from framework.auth.oauth_scopes import CoreScopes
from api.addons.serializers import AddonSerializer
from api.base.filters import ListFilterMixi... | api/addons/views.py | import re
from django.apps import apps
from rest_framework.exceptions import NotFound, PermissionDenied
from rest_framework import generics, permissions as drf_permissions
from framework.auth.oauth_scopes import CoreScopes
from api.addons.serializers import AddonSerializer
from api.base.filters import ListFilterMixi... | 0.47098 | 0.094636 |
import json
import logging
import django.forms
from django.utils.datastructures import SortedDict
from django.utils.translation import ugettext_lazy as _
import horizon.exceptions
import horizon.forms
import horizon.messages
from tuskar_ui import api
import tuskar_ui.forms
from tuskar_ui.utils import utils
LOG = l... | tuskar_ui/infrastructure/parameters/forms.py |
import json
import logging
import django.forms
from django.utils.datastructures import SortedDict
from django.utils.translation import ugettext_lazy as _
import horizon.exceptions
import horizon.forms
import horizon.messages
from tuskar_ui import api
import tuskar_ui.forms
from tuskar_ui.utils import utils
LOG = l... | 0.481454 | 0.102934 |
import argparse
import os
from collections import deque
import numpy as np
from PIL import Image
from tqdm import tqdm
from utils import warp_img, apply_transform, cut_patch
DATASETS = {
"FaceForensics++": [
"Forensics/RealFF",
"Forensics/Deepfakes",
"Forensics/FaceSwap",
"Forens... | preprocessing/crop_mouths.py | import argparse
import os
from collections import deque
import numpy as np
from PIL import Image
from tqdm import tqdm
from utils import warp_img, apply_transform, cut_patch
DATASETS = {
"FaceForensics++": [
"Forensics/RealFF",
"Forensics/Deepfakes",
"Forensics/FaceSwap",
"Forens... | 0.66769 | 0.277848 |
import sys
_IS_JYTHON = sys.platform.startswith('java')
from setuptools import setup, find_packages
from distutils.core import setup, Extension
PACKAGE = 'ibm_db_django'
VERSION = __import__('ibm_db_django').__version__
LICENSE = 'Apache License 2.0'
extra = {}
if sys.version_info >= (3, ):
extra['use_2to3'] = T... | setup.py |
import sys
_IS_JYTHON = sys.platform.startswith('java')
from setuptools import setup, find_packages
from distutils.core import setup, Extension
PACKAGE = 'ibm_db_django'
VERSION = __import__('ibm_db_django').__version__
LICENSE = 'Apache License 2.0'
extra = {}
if sys.version_info >= (3, ):
extra['use_2to3'] = T... | 0.26086 | 0.071494 |
u"""
Copyright 2016 Telefónica Investigación y Desarrollo, S.A.U.
This file is part of Toolium.
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/licenses/LICENSE-2.0
Unles... | toolium/test/test_driver_wrapper_logger.py | u"""
Copyright 2016 Telefónica Investigación y Desarrollo, S.A.U.
This file is part of Toolium.
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/licenses/LICENSE-2.0
Unles... | 0.671578 | 0.192312 |
import cartography.intel.aws.route53
import cartography.util
import tests.data.aws.route53
TEST_UPDATE_TAG = 123456789
TEST_ZONE_ID = "TESTZONEID"
TEST_ZONE_NAME = "TESTZONENAME"
TEST_AWS_ACCOUNTID = "AWSID"
TEST_AWS_REGION = "us-east-1"
def _ensure_local_neo4j_has_test_route53_records(neo4j_session):
"""
Po... | tests/integration/cartography/intel/aws/test_route53.py | import cartography.intel.aws.route53
import cartography.util
import tests.data.aws.route53
TEST_UPDATE_TAG = 123456789
TEST_ZONE_ID = "TESTZONEID"
TEST_ZONE_NAME = "TESTZONENAME"
TEST_AWS_ACCOUNTID = "AWSID"
TEST_AWS_REGION = "us-east-1"
def _ensure_local_neo4j_has_test_route53_records(neo4j_session):
"""
Po... | 0.603932 | 0.378402 |
import json, sqlite3
conn = sqlite3.connect('dbmemovira.sqlite3')
c = conn.cursor()
COLORS = {"beige": "#f5f5dc",
"brown": "#a52a2a",
"crimson red": "#990000",
"cyber yellow": "#ffd300",
"dark orange": "#ff8c00",
"forest green": "#228B22",
"fuchsia": "#ff00f... | memovira.py | import json, sqlite3
conn = sqlite3.connect('dbmemovira.sqlite3')
c = conn.cursor()
COLORS = {"beige": "#f5f5dc",
"brown": "#a52a2a",
"crimson red": "#990000",
"cyber yellow": "#ffd300",
"dark orange": "#ff8c00",
"forest green": "#228B22",
"fuchsia": "#ff00f... | 0.348313 | 0.331647 |
class Emulator:
"""
This class is used to parse simulation output to find a certain posedge
clock cycle. In other words, a clock cycle emulator.
"""
def __init__(self, machine, sim_data):
"""
Machine is the simulation's machine.
SimData cannot be empty.
"""
if... | Projects/VerilogOnline/archive/vo-tools-6/machinegen/emulator.py | class Emulator:
"""
This class is used to parse simulation output to find a certain posedge
clock cycle. In other words, a clock cycle emulator.
"""
def __init__(self, machine, sim_data):
"""
Machine is the simulation's machine.
SimData cannot be empty.
"""
if... | 0.692538 | 0.654094 |
import argparse, sys, os, time
from mitopipeline.pipeline_builder import PipelineBuilder
from mitopipeline.pipeline_runner import PipelineRunner
class CommandLineParser():
def __init__(self, argv=sys.argv[1:]):
self.__opts = self.parse_commands(argv)
def parse_commands(self, argv=sys.argv[1:]):
... | mitopipeline/cmdline_parser.py | import argparse, sys, os, time
from mitopipeline.pipeline_builder import PipelineBuilder
from mitopipeline.pipeline_runner import PipelineRunner
class CommandLineParser():
def __init__(self, argv=sys.argv[1:]):
self.__opts = self.parse_commands(argv)
def parse_commands(self, argv=sys.argv[1:]):
... | 0.37502 | 0.07538 |
from riscv.EnvRISCV import EnvRISCV
from riscv.GenThreadRISCV import GenThreadRISCV
from base.Sequence import Sequence
from DV.riscv.instruction_list import instructions
import state_transition_test_utils
from Enums import EStateElementType
from State import State
import RandomUtils
import StateTransition
## This test... | tests/riscv/state_transition/state_transition_broad_random_instructions_force.py | from riscv.EnvRISCV import EnvRISCV
from riscv.GenThreadRISCV import GenThreadRISCV
from base.Sequence import Sequence
from DV.riscv.instruction_list import instructions
import state_transition_test_utils
from Enums import EStateElementType
from State import State
import RandomUtils
import StateTransition
## This test... | 0.439266 | 0.440168 |
import torch.nn as nn
import torch.nn.functional as F
class BasicMosquitoNet(nn.Module):
"""A basic 1D conv net.
We use 1D convolution, followed by max pool, 1D convolution, max pool, FC, FC.
"""
def __init__(self, conv1_out=64, kernel_1=128, stride_1=3, padding_1=1,
conv2_out=32, ke... | src/models/BasicMosquitoNet2.py | import torch.nn as nn
import torch.nn.functional as F
class BasicMosquitoNet(nn.Module):
"""A basic 1D conv net.
We use 1D convolution, followed by max pool, 1D convolution, max pool, FC, FC.
"""
def __init__(self, conv1_out=64, kernel_1=128, stride_1=3, padding_1=1,
conv2_out=32, ke... | 0.950549 | 0.559531 |
from abc import ABCMeta
from logging2 import LogLevel
from progressbar import widgets
from progressbar.bar import ProgressBar
class ConcreteABCMeta(ABCMeta):
""" A concrete subclass of ABCMeta that's used to combine meta classes
In particular, this makes it easy to create a "most derived metaclass" that incl... | de_sim/utilities.py | from abc import ABCMeta
from logging2 import LogLevel
from progressbar import widgets
from progressbar.bar import ProgressBar
class ConcreteABCMeta(ABCMeta):
""" A concrete subclass of ABCMeta that's used to combine meta classes
In particular, this makes it easy to create a "most derived metaclass" that incl... | 0.869715 | 0.292349 |
import warnings
import numpy as np
import sklearn.cluster as sk_cluster
from diffprivlib.accountant import BudgetAccountant
from diffprivlib.mechanisms import LaplaceBoundedDomain, GeometricFolded
from diffprivlib.utils import PrivacyLeakWarning
from diffprivlib.validation import DiffprivlibMixin
class KMeans(sk_cl... | differential-privacy-library-main/diffprivlib/models/k_means.py | import warnings
import numpy as np
import sklearn.cluster as sk_cluster
from diffprivlib.accountant import BudgetAccountant
from diffprivlib.mechanisms import LaplaceBoundedDomain, GeometricFolded
from diffprivlib.utils import PrivacyLeakWarning
from diffprivlib.validation import DiffprivlibMixin
class KMeans(sk_cl... | 0.879237 | 0.618392 |
from kipro2.characteristic_functional import CharacteristicFunctional
from pysmt.shortcuts import get_env, Symbol, Implies, And, Not, Equals, Function, Or, GT, FunctionType
from kipro2.pysmt_extensions.simplifier import Simplifier
from kipro2.pysmt_extensions.euf_substituter import EUFMGSubstituter
from kipro2.utils.ut... | kipro2/k_induction/formula_generator.py | from kipro2.characteristic_functional import CharacteristicFunctional
from pysmt.shortcuts import get_env, Symbol, Implies, And, Not, Equals, Function, Or, GT, FunctionType
from kipro2.pysmt_extensions.simplifier import Simplifier
from kipro2.pysmt_extensions.euf_substituter import EUFMGSubstituter
from kipro2.utils.ut... | 0.640186 | 0.289438 |
import pprint
import re # noqa: F401
import six
from jamf.configuration import Configuration
class OrderBy(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict... | jamf/models/order_by.py | import pprint
import re # noqa: F401
import six
from jamf.configuration import Configuration
class OrderBy(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict... | 0.765374 | 0.152884 |
from torchvision import datasets, transforms
import math
import random
import torch
import copy
import csv
from datetime import datetime
import os
import numpy as np
from torch.utils.data import Dataset, DataLoader
from torch import nn
from trainer import Tester
class Utils():
def get_dataset_dist(self, args):
... | src/utils.py | from torchvision import datasets, transforms
import math
import random
import torch
import copy
import csv
from datetime import datetime
import os
import numpy as np
from torch.utils.data import Dataset, DataLoader
from torch import nn
from trainer import Tester
class Utils():
def get_dataset_dist(self, args):
... | 0.52683 | 0.383468 |
import struct
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
import utils # RJHD utilities
import settings
DATALOC = "{}/{}/data/FPR/".format(settings.ROOTLOC, settings.YEAR)
LEGEND_LOC = 'lower left'
LW = 2
DURATION = (int(settings.YEAR)-1998+1)*12
minor_tick_inter... | fpr.py | import struct
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
import utils # RJHD utilities
import settings
DATALOC = "{}/{}/data/FPR/".format(settings.ROOTLOC, settings.YEAR)
LEGEND_LOC = 'lower left'
LW = 2
DURATION = (int(settings.YEAR)-1998+1)*12
minor_tick_inter... | 0.455804 | 0.438485 |
from copy import deepcopy
from multiprocessing import cpu_count
from typing import List, NamedTuple
from mcp.config.dataloader import DataLoaderConfig
from mcp.config.dataloader import parse as parse_dataloader
from mcp.config.dataset import DatasetConfig
from mcp.config.dataset import parse as parse_dataset
from mcp.... | mcp/config/parser.py | from copy import deepcopy
from multiprocessing import cpu_count
from typing import List, NamedTuple
from mcp.config.dataloader import DataLoaderConfig
from mcp.config.dataloader import parse as parse_dataloader
from mcp.config.dataset import DatasetConfig
from mcp.config.dataset import parse as parse_dataset
from mcp.... | 0.776538 | 0.327722 |
from typing import Any
from typing import Dict
from typing import List
from typing import Tuple
from typing import Union
import numpy as np
import pandas as pd
from sid.config import DTYPE_VIRUS_STRAIN
def prepare_virus_strain_factors(
virus_strains: Dict[str, List[str]], params: pd.DataFrame
) -> Dict[str, Unio... | src/sid/virus_strains.py | from typing import Any
from typing import Dict
from typing import List
from typing import Tuple
from typing import Union
import numpy as np
import pandas as pd
from sid.config import DTYPE_VIRUS_STRAIN
def prepare_virus_strain_factors(
virus_strains: Dict[str, List[str]], params: pd.DataFrame
) -> Dict[str, Unio... | 0.919322 | 0.642965 |
from .ddt_container_table import ddt_container_table
from .ddt_tile import ddt_tile
from .ddt_tile_html import ddt_tile_html
class ddt_container_SQL(ddt_container_table):
def make_container_queryForm(self,
data_1=[{'SQL_Query':''}],
data1_keys=['<KEY>'],
data1_nestkeys=['<KEY>'... | ddt_python/ddt_container_SQL.py | from .ddt_container_table import ddt_container_table
from .ddt_tile import ddt_tile
from .ddt_tile_html import ddt_tile_html
class ddt_container_SQL(ddt_container_table):
def make_container_queryForm(self,
data_1=[{'SQL_Query':''}],
data1_keys=['<KEY>'],
data1_nestkeys=['<KEY>'... | 0.287068 | 0.134662 |
import os
import sys
from cricket.model import TestSuite, TestModule, TestCase, TestMethod
class DjangoTestSuite(TestSuite):
'''
The Project is a wrapper around the command-line calls to interface
to test collection and test execution
'''
def __init__(self, options=None):
self.settings =... | cricket/django/model.py | import os
import sys
from cricket.model import TestSuite, TestModule, TestCase, TestMethod
class DjangoTestSuite(TestSuite):
'''
The Project is a wrapper around the command-line calls to interface
to test collection and test execution
'''
def __init__(self, options=None):
self.settings =... | 0.41052 | 0.200773 |
from dokuforge.parser import dfLineGroupParser
teststring = u"""
[Eine Ueberschrift]
[[Eine Unterueberschrift]]
(Autor, Korrektor und Chef)
Lorem 囲碁 ipsum dolor sit amet, consectetur adipiscing elit. Nullam vel dui
mi. Mauris feugiat erat eget quam varius eu congue lectus viverra. Ut sed
velit dapibus eros ultr... | parserexample.py |
from dokuforge.parser import dfLineGroupParser
teststring = u"""
[Eine Ueberschrift]
[[Eine Unterueberschrift]]
(Autor, Korrektor und Chef)
Lorem 囲碁 ipsum dolor sit amet, consectetur adipiscing elit. Nullam vel dui
mi. Mauris feugiat erat eget quam varius eu congue lectus viverra. Ut sed
velit dapibus eros ultr... | 0.357231 | 0.442456 |
from RFEM.initModel import *
from RFEM.enums import *
from enum import Enum
from math import *
class FreeLoad():
def ConcentratedLoad(self,
no: int = 1,
load_case_no: int = 1,
surfaces_no = '1',
load_type = FreeConcentratedLoadLoadType.LOAD_TYPE_... | RFEM/Loads/freeLoad.py | from RFEM.initModel import *
from RFEM.enums import *
from enum import Enum
from math import *
class FreeLoad():
def ConcentratedLoad(self,
no: int = 1,
load_case_no: int = 1,
surfaces_no = '1',
load_type = FreeConcentratedLoadLoadType.LOAD_TYPE_... | 0.708213 | 0.139396 |
from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
import numpy as np
np.random.seed(123)
import tensorflow as tf
tf.set_random_seed(123)
import deepchem as dc
from datasets import load_tox21_convmol
# 4-fold splits
K = 4
# num positive/negative ligands
n_pos... | examples/low_data/tox_graph_conv_one_fold.py | from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
import numpy as np
np.random.seed(123)
import tensorflow as tf
tf.set_random_seed(123)
import deepchem as dc
from datasets import load_tox21_convmol
# 4-fold splits
K = 4
# num positive/negative ligands
n_pos... | 0.851768 | 0.284731 |
import mtalg
from mtalg.random import MultithreadedRNG
import numpy as np
class TestMRNG:
def test1(self):
mrng = MultithreadedRNG(seed=1)
assert mrng._shape is None
def test2(self):
mrng = MultithreadedRNG(seed=1, num_threads=4)
a = mrng.standard_normal(size=4)
assert... | mtalg/testing/test_rng.py | import mtalg
from mtalg.random import MultithreadedRNG
import numpy as np
class TestMRNG:
def test1(self):
mrng = MultithreadedRNG(seed=1)
assert mrng._shape is None
def test2(self):
mrng = MultithreadedRNG(seed=1, num_threads=4)
a = mrng.standard_normal(size=4)
assert... | 0.62498 | 0.638004 |
# @Author : xmh
# @Time : 2021/1/21 17:37
# @File : encoder.py
"""
file description:：
"""
import json
import regex as re
from data_loader.global_process import bytes_to_unicode
def get_pairs(word):
pairs = set()
prev_char = word[0]
for char in word[1:]:
pairs.add((prev_char, char))
... | data_loader/encoder.py |
# @Author : xmh
# @Time : 2021/1/21 17:37
# @File : encoder.py
"""
file description:：
"""
import json
import regex as re
from data_loader.global_process import bytes_to_unicode
def get_pairs(word):
pairs = set()
prev_char = word[0]
for char in word[1:]:
pairs.add((prev_char, char))
... | 0.481941 | 0.3194 |
import torch
def power_iteration_BC(B, C, rank=10, numiterations=20, device='cuda', tol=1e-3):
[cm, cn] = C.shape
if cm > cn:
CC = torch.mm(C.T, C)
BCC = torch.mm(B, CC)
else:
BCT = torch.mm(B, C.T)
BCC = torch.mm(BCT, BCT.T)
def zero_result():
sigma = torch.te... | dad_torch/utils/power_iteration_BC.py | import torch
def power_iteration_BC(B, C, rank=10, numiterations=20, device='cuda', tol=1e-3):
[cm, cn] = C.shape
if cm > cn:
CC = torch.mm(C.T, C)
BCC = torch.mm(B, CC)
else:
BCT = torch.mm(B, C.T)
BCC = torch.mm(BCT, BCT.T)
def zero_result():
sigma = torch.te... | 0.637482 | 0.657813 |
# revision identifiers, used by Alembic.
revision = '33a9ca4c32ac'
down_revision = '3adc4<PASSWORD>'
import json
import sqlalchemy as sa
from alembic import op
from datetime import datetime
from sqlalchemy.sql import table, column, select
roles_table = table('roles',
column('id', sa.Integer),
column('name', s... | src/ggrc_basic_permissions/migrations/versions/20131014203618_33a9ca4c32ac_move_system_roles_to.py | # revision identifiers, used by Alembic.
revision = '33a9ca4c32ac'
down_revision = '3adc4<PASSWORD>'
import json
import sqlalchemy as sa
from alembic import op
from datetime import datetime
from sqlalchemy.sql import table, column, select
roles_table = table('roles',
column('id', sa.Integer),
column('name', s... | 0.328314 | 0.136637 |
import pytest
import numpy as np
import nnabla.functions as F
from nbla_test_utils import list_context, function_tester
ctxs = list_context('Pad')
def ref_pad_constant(x, pad_width, mode, constant_value):
pad_width = list(zip(pad_width[::2], pad_width[1::2]))
pad_width = (x.ndim - len(pad_width)) * [(0, 0)]... | python/test/function/test_pad.py |
import pytest
import numpy as np
import nnabla.functions as F
from nbla_test_utils import list_context, function_tester
ctxs = list_context('Pad')
def ref_pad_constant(x, pad_width, mode, constant_value):
pad_width = list(zip(pad_width[::2], pad_width[1::2]))
pad_width = (x.ndim - len(pad_width)) * [(0, 0)]... | 0.579162 | 0.488405 |
# <codecell>
import pandas as pd
import os, os.path
import numpy as np
os.chdir('/home/will/RedcapQC/')
# <codecell>
raw_data = pd.read_csv('/home/will/HIVReportGen/Data/RedcapDumps/HIVAIDSGeneticAnalys_DATA_LABELS_2013-01-16_1211.csv')
raw_data.rename(columns={raw_data.columns[0]:'Patient ID'}, inplace=True)
# <c... | RedcapQC.py |
# <codecell>
import pandas as pd
import os, os.path
import numpy as np
os.chdir('/home/will/RedcapQC/')
# <codecell>
raw_data = pd.read_csv('/home/will/HIVReportGen/Data/RedcapDumps/HIVAIDSGeneticAnalys_DATA_LABELS_2013-01-16_1211.csv')
raw_data.rename(columns={raw_data.columns[0]:'Patient ID'}, inplace=True)
# <c... | 0.333395 | 0.218024 |
def findMultipliers(n, curr_depth, results, result, max_depth):
if curr_depth == max_depth:
result.append(n)
results.append(result)
return
i = 1
while i <= n:
r = result[:]
r.append(i)
findMultipliers(n//i, curr_depth+1, results, r, max_depth)
i = i * ... | case_study/perf_model/collect_membit.py | def findMultipliers(n, curr_depth, results, result, max_depth):
if curr_depth == max_depth:
result.append(n)
results.append(result)
return
i = 1
while i <= n:
r = result[:]
r.append(i)
findMultipliers(n//i, curr_depth+1, results, r, max_depth)
i = i * ... | 0.336876 | 0.306942 |
from __future__ import print_function
import logging
import os
import random
import numpy as np
from tqdm import tqdm, trange
from transformers_config import *
import torch
from torch.utils.data import DataLoader, RandomSampler
## Optimization
from transformers import (
WEIGHTS_NAME,
AdamW,
get_linear_s... | qa/main_pre_en.py | from __future__ import print_function
import logging
import os
import random
import numpy as np
from tqdm import tqdm, trange
from transformers_config import *
import torch
from torch.utils.data import DataLoader, RandomSampler
## Optimization
from transformers import (
WEIGHTS_NAME,
AdamW,
get_linear_s... | 0.61555 | 0.230562 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._enums import *
__all__ = ['EndpointArgs', 'Endpoint']
@pulumi.input_type
class EndpointArgs:
def __init__(__self__, *,
o... | sdk/python/pulumi_aws_native/s3outposts/endpoint.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._enums import *
__all__ = ['EndpointArgs', 'Endpoint']
@pulumi.input_type
class EndpointArgs:
def __init__(__self__, *,
o... | 0.85022 | 0.076753 |
import unittest
from p1_utils.errors import RegisterInvalidError, DataInvalidError, NotFoundInSymbolTableError, FieldDspInvalidError
from p1_utils.file_line import Line
from p2_assembly.seg6_segment import Segment
from p2_assembly.seg9_collection import seg_collection
class RegisterVariants(unittest.TestCase):
#... | p8_test/test_local/test_assembly/test_ts05_reg_variants.py | import unittest
from p1_utils.errors import RegisterInvalidError, DataInvalidError, NotFoundInSymbolTableError, FieldDspInvalidError
from p1_utils.file_line import Line
from p2_assembly.seg6_segment import Segment
from p2_assembly.seg9_collection import seg_collection
class RegisterVariants(unittest.TestCase):
#... | 0.506103 | 0.593727 |
WorldMarkerType_codex = {
0: "Campfire",
1: "House",
2: "T",
3: "Dot",
4: "Grave", # Internal
5: "Bed", # Internal
6: "Gate",
7: "Shout", # Internal
# 8 = None
9: "Boss",
10: "Player", # Internal
11: "RandomEvent", # Internal
12: "Ping", # Internal
13: "EventArea... | Valheim.py |
WorldMarkerType_codex = {
0: "Campfire",
1: "House",
2: "T",
3: "Dot",
4: "Grave", # Internal
5: "Bed", # Internal
6: "Gate",
7: "Shout", # Internal
# 8 = None
9: "Boss",
10: "Player", # Internal
11: "RandomEvent", # Internal
12: "Ping", # Internal
13: "EventArea... | 0.467332 | 0.543893 |
import pytest
from pathlib import Path
from pythonfmu.csvbuilder import CsvFmuBuilder
EPS = 1e-7
def test_csvslave(tmp_path):
fmpy = pytest.importorskip(
"fmpy", reason="fmpy is not available for testing the produced FMU"
)
csv_file = Path(__file__).parent / "data/csvdemo.csv"
fmu = CsvFmu... | framework/contrib/PythonFMU/pythonfmu/tests/test_csvslave.py | import pytest
from pathlib import Path
from pythonfmu.csvbuilder import CsvFmuBuilder
EPS = 1e-7
def test_csvslave(tmp_path):
fmpy = pytest.importorskip(
"fmpy", reason="fmpy is not available for testing the produced FMU"
)
csv_file = Path(__file__).parent / "data/csvdemo.csv"
fmu = CsvFmu... | 0.333069 | 0.528594 |
from xmind.tests import logging_configuration as lc
from xmind.core.position import PositionElement
from xmind.tests import base
from unittest.mock import patch
from xmind.core.const import TAG_POSITION, ATTR_X, ATTR_Y
class TestPositionElement(base.Base):
"""Test class for PositionElement class"""
def getLo... | xmind/tests/test_position.py | from xmind.tests import logging_configuration as lc
from xmind.core.position import PositionElement
from xmind.tests import base
from unittest.mock import patch
from xmind.core.const import TAG_POSITION, ATTR_X, ATTR_Y
class TestPositionElement(base.Base):
"""Test class for PositionElement class"""
def getLo... | 0.792504 | 0.307735 |
import random
import hmac
import time
from typing import Optional
import discord
import requests
import src.db as db
from .config import keys, cfg
from .utils import is_mod, updateWebhooks, seconds_convert, convert_utc_to_epoch, webhookStreamsRequest
from .log import logger
client = discord.Client()
st... | src/client.py | import random
import hmac
import time
from typing import Optional
import discord
import requests
import src.db as db
from .config import keys, cfg
from .utils import is_mod, updateWebhooks, seconds_convert, convert_utc_to_epoch, webhookStreamsRequest
from .log import logger
client = discord.Client()
st... | 0.488771 | 0.090735 |
import argparse
from datetime import datetime,timedelta
from scipy.io import loadmat
from pandas import DataFrame
#convert matlab time to python datetime, matlab time is off 366 days
to_datetime = lambda d: datetime.fromordinal(int(d)) + timedelta(days=d % 1) - timedelta(days= 366)
#obtain data for houseA or house... | datasets/converters/kasteren.py | import argparse
from datetime import datetime,timedelta
from scipy.io import loadmat
from pandas import DataFrame
#convert matlab time to python datetime, matlab time is off 366 days
to_datetime = lambda d: datetime.fromordinal(int(d)) + timedelta(days=d % 1) - timedelta(days= 366)
#obtain data for houseA or house... | 0.47317 | 0.640664 |
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
for table in ('canvas_post', 'canvas_hashtag', 'canvas_thread', 'canvas_thread_hashtags'):
try:
db.delet... | website/canvas/migrations/0036_auto__del_post__del_hashtag__del_thread.py | import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
for table in ('canvas_post', 'canvas_hashtag', 'canvas_thread', 'canvas_thread_hashtags'):
try:
db.delet... | 0.461502 | 0.097993 |
import math
import argparse
import time
from pathlib import Path
from distutils.util import strtobool
import numpy as np
import pandas as pd
pd.set_option("display.max_colwidth", 200)
pd.set_option("display.max_columns", 1000)
pd.set_option("display.width", 1000)
from tqdm import tqdm
from pyquaternion import Quatern... | source/02_ssd_large/03_make_sub.py | import math
import argparse
import time
from pathlib import Path
from distutils.util import strtobool
import numpy as np
import pandas as pd
pd.set_option("display.max_colwidth", 200)
pd.set_option("display.max_columns", 1000)
pd.set_option("display.width", 1000)
from tqdm import tqdm
from pyquaternion import Quatern... | 0.384219 | 0.228802 |
from __future__ import absolute_import
import numpy as np
import itertools
import operator
import random
import sys
import copy
from benchmark.plotting.eval_range_search import compute_AP
from benchmark.sensors.power_capture import power_capture
def compute_recall_without_distance_ties(true_ids, run_ids, count):
... | benchmark/plotting/metrics.py | from __future__ import absolute_import
import numpy as np
import itertools
import operator
import random
import sys
import copy
from benchmark.plotting.eval_range_search import compute_AP
from benchmark.sensors.power_capture import power_capture
def compute_recall_without_distance_ties(true_ids, run_ids, count):
... | 0.327991 | 0.307267 |
import asyncio
import pathlib
import aiohttpdemo_polls.db as db
import psycopg2
from faker import Factory
from aiohttpdemo_polls.utils import init_postgres
from sqlalchemy.schema import CreateTable, DropTable
PROJ_ROOT = pathlib.Path(__file__).parent.parent
conf = {"host": "127.0.0.1",
"port": 8080,
... | demos/polls/aiohttpdemo_polls/generate_data.py | import asyncio
import pathlib
import aiohttpdemo_polls.db as db
import psycopg2
from faker import Factory
from aiohttpdemo_polls.utils import init_postgres
from sqlalchemy.schema import CreateTable, DropTable
PROJ_ROOT = pathlib.Path(__file__).parent.parent
conf = {"host": "127.0.0.1",
"port": 8080,
... | 0.305905 | 0.212252 |