code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
from functools import partial
from flask import Blueprint, request
from wrf.api.base import BaseAPI, api_view
from wrf.base import APIError
from wrf.framework.flask import FlaskFrameworkComponent
from wrf.orm.peewee import PeeweeORMComponent
from wrf.pagination.base import NoPaginationComponent, PagePaginationCompone... | tests/flask_peewee_marshmallow/api.py | from functools import partial
from flask import Blueprint, request
from wrf.api.base import BaseAPI, api_view
from wrf.base import APIError
from wrf.framework.flask import FlaskFrameworkComponent
from wrf.orm.peewee import PeeweeORMComponent
from wrf.pagination.base import NoPaginationComponent, PagePaginationCompone... | 0.542136 | 0.069038 |
import errno
import sys
import MySQLdb as mysql
import MySQLdb.cursors
import time
import glob
import re
import socket
import os
import select
import psutil
import subprocess
def readconfig( config ):
"""Reads parameters from a config file.
Args:
config (str): path to config file
If config does not exist t... | access/db.py | import errno
import sys
import MySQLdb as mysql
import MySQLdb.cursors
import time
import glob
import re
import socket
import os
import select
import psutil
import subprocess
def readconfig( config ):
"""Reads parameters from a config file.
Args:
config (str): path to config file
If config does not exist t... | 0.145996 | 0.092442 |
import os
# os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID" # see issue #152
# os.environ["CUDA_VISIBLE_DEVICES"]="0"
import torch
import torch.nn as nn
import torch.nn.utils.prune as prune
import torch.optim as optim
from torch.optim import lr_scheduler
import numpy as np
from torch.utils.tensorboard impor... | src/prune.py | import os
# os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID" # see issue #152
# os.environ["CUDA_VISIBLE_DEVICES"]="0"
import torch
import torch.nn as nn
import torch.nn.utils.prune as prune
import torch.optim as optim
from torch.optim import lr_scheduler
import numpy as np
from torch.utils.tensorboard impor... | 0.511473 | 0.105211 |
from __future__ import absolute_import
import unittest
import cons3rt
from cons3rt.api.deployments_api import DeploymentsApi # noqa: E501
from cons3rt.rest import ApiException
class TestDeploymentsApi(unittest.TestCase):
"""DeploymentsApi unit test stubs"""
def setUp(self):
self.api = cons3rt.api.... | test/test_deployments_api.py | from __future__ import absolute_import
import unittest
import cons3rt
from cons3rt.api.deployments_api import DeploymentsApi # noqa: E501
from cons3rt.rest import ApiException
class TestDeploymentsApi(unittest.TestCase):
"""DeploymentsApi unit test stubs"""
def setUp(self):
self.api = cons3rt.api.... | 0.558086 | 0.147279 |
import base64
from unittest.mock import patch
import pytest
from koris.provision.cloud_init import NthMasterInit, NodeInit, FirstMasterInit
from koris.ssl import (create_certs, CertBundle, create_key, create_ca)
from koris.cloud.openstack import OSCloudConfig
class DummyServer: # pylint: disable=too-few-public-met... | tests/test_cloud_init.py | import base64
from unittest.mock import patch
import pytest
from koris.provision.cloud_init import NthMasterInit, NodeInit, FirstMasterInit
from koris.ssl import (create_certs, CertBundle, create_key, create_ca)
from koris.cloud.openstack import OSCloudConfig
class DummyServer: # pylint: disable=too-few-public-met... | 0.427277 | 0.175962 |
import numpy as np
from BDSpace import Space
from BDSpace.Figure.Sphere import Sphere
from BDSpace.Curve.Parametric import Arc
from BDSpace.Field import SuperposedField
from BDSpace.Field import HyperbolicPotentialSphericalConservativeField
from BDSpace.Field import HyperbolicPotentialCurveConservativeField
import BD... | demo/08_superposed_fields_demo.py | import numpy as np
from BDSpace import Space
from BDSpace.Figure.Sphere import Sphere
from BDSpace.Curve.Parametric import Arc
from BDSpace.Field import SuperposedField
from BDSpace.Field import HyperbolicPotentialSphericalConservativeField
from BDSpace.Field import HyperbolicPotentialCurveConservativeField
import BD... | 0.655667 | 0.512693 |
"""Tests for tensorflow_data_validation.statistics.constituents.count_missing_generator."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl.testing import absltest
import pyarrow as pa
from tensorflow_data_validation import types
from tensorflow_d... | tensorflow_data_validation/statistics/generators/constituents/count_missing_generator_test.py | """Tests for tensorflow_data_validation.statistics.constituents.count_missing_generator."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl.testing import absltest
import pyarrow as pa
from tensorflow_data_validation import types
from tensorflow_d... | 0.868757 | 0.556701 |
from __future__ import unicode_literals
from django.db import models, migrations
import powerdns.utils
import django.core.validators
import powerdns.models.powerdns
import dj.choices.fields
from django.conf import settings
import powerdns.models.requests
class Migration(migrations.Migration):
dependencies = [
... | powerdns/migrations/0013_auto_20151124_0301.py | from __future__ import unicode_literals
from django.db import models, migrations
import powerdns.utils
import django.core.validators
import powerdns.models.powerdns
import dj.choices.fields
from django.conf import settings
import powerdns.models.requests
class Migration(migrations.Migration):
dependencies = [
... | 0.512937 | 0.129706 |
import time
from datetime import datetime
from decimal import Decimal
import json
from src.utils import get_last_week_ref_timestamp, get_ref_timestamp,\
calc_nas_ranking_this_week, bring_slack_id_from_slack_name, bring_slack_name_from_slack_id
def test_get_ref_timestamp():
"""Get a time stamp at the start of... | tests/test_utils.py | import time
from datetime import datetime
from decimal import Decimal
import json
from src.utils import get_last_week_ref_timestamp, get_ref_timestamp,\
calc_nas_ranking_this_week, bring_slack_id_from_slack_name, bring_slack_name_from_slack_id
def test_get_ref_timestamp():
"""Get a time stamp at the start of... | 0.676086 | 0.740433 |
import numpy as np
from sklearn.tree import DecisionTreeClassifier
class Tree():
# all_node_list = list()
root = None
fields = list()
classes = list()
class Node():
def __init__(self):
self.field = ''
self.value = -2
self.score = -2
self.lef... | zmk/nyokaBase/reconstruct/tree.py | import numpy as np
from sklearn.tree import DecisionTreeClassifier
class Tree():
# all_node_list = list()
root = None
fields = list()
classes = list()
class Node():
def __init__(self):
self.field = ''
self.value = -2
self.score = -2
self.lef... | 0.646349 | 0.293262 |
import re
import json
import requests
from . import base
from . import config
import logging
import logging.config
# FIXME logging should be properly ported using the new config
logging.basicConfig()
log = logging.getLogger('scitran.api.centralclient')
logging.getLogger('urllib3').setLevel(logging.WARNING) # silenc... | api/centralclient.py | import re
import json
import requests
from . import base
from . import config
import logging
import logging.config
# FIXME logging should be properly ported using the new config
logging.basicConfig()
log = logging.getLogger('scitran.api.centralclient')
logging.getLogger('urllib3').setLevel(logging.WARNING) # silenc... | 0.23144 | 0.081483 |
import sys
import json
import os
import numpy as np
from scipy.optimize import linear_sum_assignment
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d, Axes3D
import cv2
import pylab as pl
from numpy import linalg as LA
import random
import math
from mpl_toolkits.mplot3d import axes3d, Axes3D
from... | matching/AccomodateAllWildtrack.py | import sys
import json
import os
import numpy as np
from scipy.optimize import linear_sum_assignment
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d, Axes3D
import cv2
import pylab as pl
from numpy import linalg as LA
import random
import math
from mpl_toolkits.mplot3d import axes3d, Axes3D
from... | 0.204501 | 0.288182 |
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 *
from ._inputs import *
__all__ = ['AssessmentArgs', 'Assessment']
@pulumi.input_type
class AssessmentArgs:
def __init__(_... | sdk/python/pulumi_azure_native/security/v20190101preview/assessment.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 *
from ._inputs import *
__all__ = ['AssessmentArgs', 'Assessment']
@pulumi.input_type
class AssessmentArgs:
def __init__(_... | 0.820037 | 0.059374 |
import sqlite3
PATH_DB = "C:/DEV/PillData/Sqlite_DB/pills_5_filtered.db"
SIZE_TOLERANCE = 1 # margin of error of pill size (in milimeters)
def query_pills(pill_properties):
"""
Queries pill information from DB
Query is constructed dynamically, input values are checked
to avoid SQL injection
Input ... | experiments/sql/sqlit_qry2.py | import sqlite3
PATH_DB = "C:/DEV/PillData/Sqlite_DB/pills_5_filtered.db"
SIZE_TOLERANCE = 1 # margin of error of pill size (in milimeters)
def query_pills(pill_properties):
"""
Queries pill information from DB
Query is constructed dynamically, input values are checked
to avoid SQL injection
Input ... | 0.21158 | 0.171477 |
from PyQt5.QtWidgets import QPushButton
from .results_base import ResultsBase
class Results(ResultsBase):
def __init__(self, parent=None, button_func=None, params=None):
super().__init__(parent, 'Results', params)
self.button_func = button_func
self.make_tables(self.params.re... | malss/app/results.py |
from PyQt5.QtWidgets import QPushButton
from .results_base import ResultsBase
class Results(ResultsBase):
def __init__(self, parent=None, button_func=None, params=None):
super().__init__(parent, 'Results', params)
self.button_func = button_func
self.make_tables(self.params.re... | 0.428712 | 0.057705 |
from argparse import ArgumentParser
import torch
import torch.multiprocessing
import pytorch_lightning as pl
from pytorch_lightning import loggers as pl_loggers
import numpy as np
from neural_clbf.controllers import NeuralCLBFController
from neural_clbf.datamodules.episodic_datamodule import (
EpisodicDataModule,... | neural_clbf/training/devel/train_quad2d_obstacles.py | from argparse import ArgumentParser
import torch
import torch.multiprocessing
import pytorch_lightning as pl
from pytorch_lightning import loggers as pl_loggers
import numpy as np
from neural_clbf.controllers import NeuralCLBFController
from neural_clbf.datamodules.episodic_datamodule import (
EpisodicDataModule,... | 0.808181 | 0.508056 |
from alfred.utils.config import *
from alfred.utils.directory_tree import *
from alfred.utils.misc import create_logger, select_storage_dirs
from alfred.prepare_schedule import create_experiment_dir
from importlib import import_module
def my_type_func(add_arg):
name, val_type = add_arg.split("=", 1)
val, typ ... | alfred/copy_config.py | from alfred.utils.config import *
from alfred.utils.directory_tree import *
from alfred.utils.misc import create_logger, select_storage_dirs
from alfred.prepare_schedule import create_experiment_dir
from importlib import import_module
def my_type_func(add_arg):
name, val_type = add_arg.split("=", 1)
val, typ ... | 0.424651 | 0.140425 |
# TobiaC 2015-12-02
import numpy
import matplotlib.pyplot as plt
import matplotlib.dates
from antpat.reps.sphgridfun import pntsonsphere, tvecfun
from antpat.io.feko_ffe import FEKOffe
from antpat.radfarfield import RadFarField
class DualPolElem(object):
"""Main class for a dual-pol antenna element. It can be co... | antpat/dualpolelem.py | # TobiaC 2015-12-02
import numpy
import matplotlib.pyplot as plt
import matplotlib.dates
from antpat.reps.sphgridfun import pntsonsphere, tvecfun
from antpat.io.feko_ffe import FEKOffe
from antpat.radfarfield import RadFarField
class DualPolElem(object):
"""Main class for a dual-pol antenna element. It can be co... | 0.586523 | 0.358016 |
import tensorflow as tf
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.metrics import MeanIoU
from sklearn.model_selection import train_test_split
import numpy as np
import matplotlib.pyplot as plt
n_classes = 3
train_images = np.load(r"C:\Users\Lincoln\Desktop\images_encoded.npy")
train_ma... | evaluate.py | import tensorflow as tf
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.metrics import MeanIoU
from sklearn.model_selection import train_test_split
import numpy as np
import matplotlib.pyplot as plt
n_classes = 3
train_images = np.load(r"C:\Users\Lincoln\Desktop\images_encoded.npy")
train_ma... | 0.772101 | 0.667608 |
import os
import json
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns;
colors = sns.color_palette("hls", n_colors=11)
'''
Get the range of hyperparameters from a list of labels.
'''
def get_range(labels, p=True):
keywords = []
for i in labels[0].split('-'):
... | python/data-visualization/roofline/roofline.py | import os
import json
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns;
colors = sns.color_palette("hls", n_colors=11)
'''
Get the range of hyperparameters from a list of labels.
'''
def get_range(labels, p=True):
keywords = []
for i in labels[0].split('-'):
... | 0.192463 | 0.240953 |
import torch
import torch.nn as nn
class Flatten(nn.Module):
def forward(self, input):
return input.view(input.size(0), -1)
class Model(torch.nn.Module):
def __init__(self, input_shape, outputs_count):
super(Model, self).__init__()
self.device = torch.device("cuda" if torch.cuda.is_av... | src/models/net_1/model.py | import torch
import torch.nn as nn
class Flatten(nn.Module):
def forward(self, input):
return input.view(input.size(0), -1)
class Model(torch.nn.Module):
def __init__(self, input_shape, outputs_count):
super(Model, self).__init__()
self.device = torch.device("cuda" if torch.cuda.is_av... | 0.928506 | 0.369799 |
import math
from fisica.Punto import Punto
class Colisiones:
""" Calcula algunas colisiones basicas entre objetos 2D """
def _init_(self, mundo):
self.Mundo = mundo
def ColisionCirculoRectangulo(self, circulo, rectangulo):
""" Comprueba si un circulo colisiona con un rectangulo. No func... | fisica/Colisiones.py | import math
from fisica.Punto import Punto
class Colisiones:
""" Calcula algunas colisiones basicas entre objetos 2D """
def _init_(self, mundo):
self.Mundo = mundo
def ColisionCirculoRectangulo(self, circulo, rectangulo):
""" Comprueba si un circulo colisiona con un rectangulo. No func... | 0.602412 | 0.742071 |
import neoml.PythonWrapper as PythonWrapper
from .Dnn import Layer
from neoml.Utils import check_input_layers
import neoml.Blob as Blob
class Irnn(Layer):
"""IRNN implementation from this article: https://arxiv.org/pdf/1504.00941.pdf
It's a simple recurrent unit with the following formula:
:math:`Y_t = R... | NeoML/Python/neoml/Dnn/Irnn.py | import neoml.PythonWrapper as PythonWrapper
from .Dnn import Layer
from neoml.Utils import check_input_layers
import neoml.Blob as Blob
class Irnn(Layer):
"""IRNN implementation from this article: https://arxiv.org/pdf/1504.00941.pdf
It's a simple recurrent unit with the following formula:
:math:`Y_t = R... | 0.917686 | 0.675745 |
__author__ = "Group 03, CS 212, Lanzhou University"
__copyright__ = "Copyright (c) 2020, Study Project in Lanzhou University , China"
__license__ = "GPL V3"
__version__ = "0.1"
__maintainer__ = "ZhaoHaoran"
__email__ = "<EMAIL>"
__status__ = "Experimental"
import pandas as pd
import numpy as np
import random
import sc... | Homework/data4/Data4.py | __author__ = "Group 03, CS 212, Lanzhou University"
__copyright__ = "Copyright (c) 2020, Study Project in Lanzhou University , China"
__license__ = "GPL V3"
__version__ = "0.1"
__maintainer__ = "ZhaoHaoran"
__email__ = "<EMAIL>"
__status__ = "Experimental"
import pandas as pd
import numpy as np
import random
import sc... | 0.627495 | 0.449513 |
import contextlib
import os
from libpb import env, event, job, mk, pkg
from libpb.stacks import base, mutators
__all__ = ["Config", "Depend"]
class Lock(object):
"""A simple Uniprocessor lock."""
def __init__(self):
"""Initialise lock."""
self._locked = False
def acquire(self):
... | libpb/stacks/common.py | import contextlib
import os
from libpb import env, event, job, mk, pkg
from libpb.stacks import base, mutators
__all__ = ["Config", "Depend"]
class Lock(object):
"""A simple Uniprocessor lock."""
def __init__(self):
"""Initialise lock."""
self._locked = False
def acquire(self):
... | 0.41324 | 0.09401 |
# stdlib
from types import ListType
from nose.plugins.skip import SkipTest
# project
from checks import AgentCheck
from tests.checks.common import load_check
from tests.checks.common import AgentCheckTest
class TestCouchbase(AgentCheckTest):
"""Basic Test for couchbase integration."""
CHECK_NAME = 'couchbas... | couchbase/test/test_couchbase.py |
# stdlib
from types import ListType
from nose.plugins.skip import SkipTest
# project
from checks import AgentCheck
from tests.checks.common import load_check
from tests.checks.common import AgentCheckTest
class TestCouchbase(AgentCheckTest):
"""Basic Test for couchbase integration."""
CHECK_NAME = 'couchbas... | 0.58676 | 0.451024 |
import logging
import os
from git.exc import NoSuchPathError
from assigner.roster_util import get_filtered_roster
from assigner.backends import RepoError
from assigner.backends.decorators import requires_config_and_backend
from assigner import progress
help = "Push changes to student repos"
logger = logging.getLogg... | assigner/commands/push.py | import logging
import os
from git.exc import NoSuchPathError
from assigner.roster_util import get_filtered_roster
from assigner.backends import RepoError
from assigner.backends.decorators import requires_config_and_backend
from assigner import progress
help = "Push changes to student repos"
logger = logging.getLogg... | 0.14814 | 0.068631 |
from pyquaternion import Quaternion
import inverse_kinematics
from visual_mpc.envs.util.interpolation import QuinticSpline
import logging
from intera_core_msgs.msg import EndpointState
from threading import Condition
import rospy
import numpy as np
from geometry_msgs.msg import Quaternion as Quaternion_msg
CONTROL_RA... | visual_mpc/envs/robot_envs/sawyer/control_util.py | from pyquaternion import Quaternion
import inverse_kinematics
from visual_mpc.envs.util.interpolation import QuinticSpline
import logging
from intera_core_msgs.msg import EndpointState
from threading import Condition
import rospy
import numpy as np
from geometry_msgs.msg import Quaternion as Quaternion_msg
CONTROL_RA... | 0.505127 | 0.336835 |
import logging
from django.conf import settings
from obj_update import obj_update_or_create
import boto.ec2
import boto.vpc
from .models import Region, Instance, SecurityGroup, SecurityGroupRule, VPC
logger = logging.getLogger(__name__)
def pull_vpcs(region=None):
if region is None:
region = Region.ob... | aws_admin/utils.py | import logging
from django.conf import settings
from obj_update import obj_update_or_create
import boto.ec2
import boto.vpc
from .models import Region, Instance, SecurityGroup, SecurityGroupRule, VPC
logger = logging.getLogger(__name__)
def pull_vpcs(region=None):
if region is None:
region = Region.ob... | 0.153105 | 0.081886 |
import wx
from src.wizard.view.clsResultPage import ResultPageView
from src.wizard.controller.frmSampFeatSelectPanel \
import SampFeatSelectPanel
from src.wizard.controller.frmProcLevelSelectPanel \
import ProcLevelSelectPanel
from src.wizard.controller.frmActionsSelectPanel \
import ActionsSelectPanel
from... | src/wizard/controller/linked_dialog/PanelNode.py | import wx
from src.wizard.view.clsResultPage import ResultPageView
from src.wizard.controller.frmSampFeatSelectPanel \
import SampFeatSelectPanel
from src.wizard.controller.frmProcLevelSelectPanel \
import ProcLevelSelectPanel
from src.wizard.controller.frmActionsSelectPanel \
import ActionsSelectPanel
from... | 0.265024 | 0.052716 |
import collections
from absl import app
from absl import flags
from optimization.cifar100 import centralized_cifar100
from optimization.emnist import centralized_emnist
from optimization.emnist_ae import centralized_emnist_ae
from optimization.shakespeare import centralized_shakespeare
from optimization.shared import... | optimization/main/centralized_trainer.py | import collections
from absl import app
from absl import flags
from optimization.cifar100 import centralized_cifar100
from optimization.emnist import centralized_emnist
from optimization.emnist_ae import centralized_emnist_ae
from optimization.shakespeare import centralized_shakespeare
from optimization.shared import... | 0.660063 | 0.290503 |
from ..service import Service
from ..exception import AppwriteException
class Storage(Service):
def __init__(self, client):
super(Storage, self).__init__(client)
def list_files(self, search = None, limit = None, offset = None, cursor = None, cursor_direction = None, order_type = None):
"""Lis... | appwrite/services/storage.py | from ..service import Service
from ..exception import AppwriteException
class Storage(Service):
def __init__(self, client):
super(Storage, self).__init__(client)
def list_files(self, search = None, limit = None, offset = None, cursor = None, cursor_direction = None, order_type = None):
"""Lis... | 0.509032 | 0.07843 |
import abc
import re
from pathvalidate.error import ErrorReason, ValidationError
from typepy import is_null_string
from ._interface import NameSanitizer
def _preprocess(name: str) -> str:
return name.strip()
class VarNameSanitizer(NameSanitizer):
@abc.abstractproperty
def _invalid_var_name_head_re(sel... | pytablewriter/sanitizer/_base.py | import abc
import re
from pathvalidate.error import ErrorReason, ValidationError
from typepy import is_null_string
from ._interface import NameSanitizer
def _preprocess(name: str) -> str:
return name.strip()
class VarNameSanitizer(NameSanitizer):
@abc.abstractproperty
def _invalid_var_name_head_re(sel... | 0.376738 | 0.078572 |
from volumedriver.storagerouter.storagerouterclient import StorageRouterClient as SRClient
from volumedriver.storagerouter.storagerouterclient import ClusterContact, Statistics, VolumeInfo
from ovs.plugin.provider.configuration import Configuration
from ovs.extensions.generic.system import System
import json
import os
... | ovs/extensions/storageserver/storagedriver.py | from volumedriver.storagerouter.storagerouterclient import StorageRouterClient as SRClient
from volumedriver.storagerouter.storagerouterclient import ClusterContact, Statistics, VolumeInfo
from ovs.plugin.provider.configuration import Configuration
from ovs.extensions.generic.system import System
import json
import os
... | 0.567457 | 0.069795 |
"""Tests for inventory reading."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import unittest
import numpy as np
import six
import deepmind_lab
GADGETS = {
'IMPULSE': 2, ## Contact gadget.
'RAPID': 3, ## Rapid fire gadget.
'... | python/tests/update_inventory_test.py | """Tests for inventory reading."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import unittest
import numpy as np
import six
import deepmind_lab
GADGETS = {
'IMPULSE': 2, ## Contact gadget.
'RAPID': 3, ## Rapid fire gadget.
'... | 0.651909 | 0.253159 |
from __future__ import print_function, with_statement
import logging
import os
from contextlib import contextmanager
from file_utils import temporary_file
from subprocess import Popen, PIPE
from urllib2 import urlopen
logger = logging.getLogger(__name__)
class CommandError(Exception):
"""Problem executing or ini... | src/python/squarepants/binary_utils.py | from __future__ import print_function, with_statement
import logging
import os
from contextlib import contextmanager
from file_utils import temporary_file
from subprocess import Popen, PIPE
from urllib2 import urlopen
logger = logging.getLogger(__name__)
class CommandError(Exception):
"""Problem executing or ini... | 0.680879 | 0.105027 |
from typing import Optional, Sequence
import torch
from rising.transforms import BaseTransform
from rising.transforms.functional import one_hot_batch
__all__ = ["OneHot", "ArgMax"]
class OneHot(BaseTransform):
"""
Convert to one hot encoding. One hot encoding is applied in first dimension
which results... | rising/transforms/channel.py | from typing import Optional, Sequence
import torch
from rising.transforms import BaseTransform
from rising.transforms.functional import one_hot_batch
__all__ = ["OneHot", "ArgMax"]
class OneHot(BaseTransform):
"""
Convert to one hot encoding. One hot encoding is applied in first dimension
which results... | 0.964514 | 0.558086 |
from highlight import analyze_python, build_html_page
import os, re
from glob import glob
from html import escape
from pathlib import Path
from itertools import chain
from subprocess import getoutput
index_html = '''\
<!DOCTYPE html>
<html lang="en">
<head>
<meta http-equiv="Content-type" content="text/html;charset=U... | Beginner/notes/publish.py |
from highlight import analyze_python, build_html_page
import os, re
from glob import glob
from html import escape
from pathlib import Path
from itertools import chain
from subprocess import getoutput
index_html = '''\
<!DOCTYPE html>
<html lang="en">
<head>
<meta http-equiv="Content-type" content="text/html;charset=U... | 0.306838 | 0.047492 |
import abc
import pandas as pd
import copy
from .timeframe import TimeFrame
class Results(object):
"""Stats results from each node need to be assigned to a specific
class so we know how to combine results from multiple chunks. For
example, Energy can be simply summed; while dropout rate should be
aver... | nilmtk/results.py | import abc
import pandas as pd
import copy
from .timeframe import TimeFrame
class Results(object):
"""Stats results from each node need to be assigned to a specific
class so we know how to combine results from multiple chunks. For
example, Energy can be simply summed; while dropout rate should be
aver... | 0.918274 | 0.656803 |
from bui.layout.attr import Attr
from bui.layout.component import Component
class Dialog(Component):
"""
Custom dialog tag, to encompass widgets.
The dialog tag allows to create a custom dialog box. Contrary to the
window tag, it doesn't describe a window and its elements. Usually, a
dialog is... | bui/layout/dialog.py |
from bui.layout.attr import Attr
from bui.layout.component import Component
class Dialog(Component):
"""
Custom dialog tag, to encompass widgets.
The dialog tag allows to create a custom dialog box. Contrary to the
window tag, it doesn't describe a window and its elements. Usually, a
dialog is... | 0.852045 | 0.792022 |
from tools.utils.platform import ICTYPE_2_MGDTYPE
#==========================================================================
def _invert_dict(dict_):
bins = {}
for key, value in dict_.items():
bin = bins.setdefault(value, [])
bin.append(key)
return bins
def _choose_best_name... | tools/utils/ictypes.py | from tools.utils.platform import ICTYPE_2_MGDTYPE
#==========================================================================
def _invert_dict(dict_):
bins = {}
for key, value in dict_.items():
bin = bins.setdefault(value, [])
bin.append(key)
return bins
def _choose_best_name... | 0.338405 | 0.218523 |
import time
import torch
from torch.utils.data import Dataset, DataLoader
from data import LJspeechDataset, collate_fn_synthesize
from model import WaveVAE
from torch.distributions.normal import Normal
import librosa
import os
import argparse
parser = argparse.ArgumentParser(description='Synthesize WaveVAE of LJSpeec... | synthesize.py | import time
import torch
from torch.utils.data import Dataset, DataLoader
from data import LJspeechDataset, collate_fn_synthesize
from model import WaveVAE
from torch.distributions.normal import Normal
import librosa
import os
import argparse
parser = argparse.ArgumentParser(description='Synthesize WaveVAE of LJSpeec... | 0.549157 | 0.193376 |
import unittest
import numpy as np
from scipy import stats
import PySeismoSoil.helper_mkz_model as mkz
import PySeismoSoil.helper_site_response as sr
class Test_Helper_MKZ_Model(unittest.TestCase):
'''
Unit tests for helper functions in helper_mkz_model.py
'''
def __init__(self, methodName='runTest')... | PySeismoSoil/tests/test_helper_mkz_model.py |
import unittest
import numpy as np
from scipy import stats
import PySeismoSoil.helper_mkz_model as mkz
import PySeismoSoil.helper_site_response as sr
class Test_Helper_MKZ_Model(unittest.TestCase):
'''
Unit tests for helper functions in helper_mkz_model.py
'''
def __init__(self, methodName='runTest')... | 0.488039 | 0.602793 |
import os
from os import getcwd
import glob
from convert_bbox_for_anno_extraction import convert_bbox
#将要生成的三个文件，可以改年份,其他最好不变
sets=[('2007', 'train'), ('2007', 'val'), ('2007', 'test')]
#按照上一步对数据集的划分结果，即按照Main生成的4个txt文件(里面全是文件名，不带后缀)
#中的顺序提取标注中的信息。还是那个问题，本数据集的图片、标注均不在一个文件夹
#这带来了麻烦，当前只采用简便处理。就把第一类当作验证集
wd... | annotations_extraction.py |
import os
from os import getcwd
import glob
from convert_bbox_for_anno_extraction import convert_bbox
#将要生成的三个文件，可以改年份,其他最好不变
sets=[('2007', 'train'), ('2007', 'val'), ('2007', 'test')]
#按照上一步对数据集的划分结果，即按照Main生成的4个txt文件(里面全是文件名，不带后缀)
#中的顺序提取标注中的信息。还是那个问题，本数据集的图片、标注均不在一个文件夹
#这带来了麻烦，当前只采用简便处理。就把第一类当作验证集
wd... | 0.049474 | 0.191196 |
import os
import re
#Definitions
def run(files=None,verbose=True,overwrite=None,output=None,macros={},build=''):
l=create_file_objs(files,macros)
mod2fil=file_objs_to_mod_dict(file_objs=l)
depends=get_depends(fob=l,m2f=mod2fil)
if verbose:
for i in depends.keys():
print "\033[032m... | Source/Fortran/Hamiltonian/fort_depend.py | import os
import re
#Definitions
def run(files=None,verbose=True,overwrite=None,output=None,macros={},build=''):
l=create_file_objs(files,macros)
mod2fil=file_objs_to_mod_dict(file_objs=l)
depends=get_depends(fob=l,m2f=mod2fil)
if verbose:
for i in depends.keys():
print "\033[032m... | 0.186576 | 0.085978 |
import sys
import os
import glob
import shutil
import jinja2
import nbformat
from nbconvert.exporters import HTMLExporter
INDEX_TEMPLATE = jinja2.Template("""
.. _{{ sphinx_tag }}:
Notebook Examples
=================
.. toctree::
{% for notebook in notebooks %}
./{{ notebook }}
{% endfor %}
""")
RST_TE... | doc/sphinxext/notebook_converter.py | import sys
import os
import glob
import shutil
import jinja2
import nbformat
from nbconvert.exporters import HTMLExporter
INDEX_TEMPLATE = jinja2.Template("""
.. _{{ sphinx_tag }}:
Notebook Examples
=================
.. toctree::
{% for notebook in notebooks %}
./{{ notebook }}
{% endfor %}
""")
RST_TE... | 0.446495 | 0.224597 |
import cv2
import numpy as np
try:
import OpenImageIO as oiio
except ImportError:
print("OpenImageIO is required!")
class RenderImage(object):
def __init__(self, size=(20, 20)):
self._img = np.zeros((size[0], size[1], 4), dtype=np.uint16)
def Image(self, data_type="numpy"):
""" Retur... | src/gimelstudio/core/datatypes.py |
import cv2
import numpy as np
try:
import OpenImageIO as oiio
except ImportError:
print("OpenImageIO is required!")
class RenderImage(object):
def __init__(self, size=(20, 20)):
self._img = np.zeros((size[0], size[1], 4), dtype=np.uint16)
def Image(self, data_type="numpy"):
""" Retur... | 0.642769 | 0.344871 |
class Employee:
num_of_emps = 0
raise_amount = 1.04
def __init__(self, first, last, pay):
self.first = first
self.last = last
self.pay = pay
self.email = str(first + '.' + last + '@<EMAIL>').lower() # see that we don't need to input all the
# attributes. Some of the... | Class10-Classes Variables.py | class Employee:
num_of_emps = 0
raise_amount = 1.04
def __init__(self, first, last, pay):
self.first = first
self.last = last
self.pay = pay
self.email = str(first + '.' + last + '@<EMAIL>').lower() # see that we don't need to input all the
# attributes. Some of the... | 0.627038 | 0.424114 |
class ModifiedMixin:
"""
Class to allow a Tkinter Text widget to notice when it's modified.
To use this mixin, subclass from Tkinter.Text and the mixin, then write
an __init__() method for the new class that calls _init().
Then override the beenModified() method to implement the behavior that
... | src/lib/ModifiedMixin.py |
class ModifiedMixin:
"""
Class to allow a Tkinter Text widget to notice when it's modified.
To use this mixin, subclass from Tkinter.Text and the mixin, then write
an __init__() method for the new class that calls _init().
Then override the beenModified() method to implement the behavior that
... | 0.677261 | 0.429968 |
import os
from parglare import Grammar, Parser
this_folder = os.path.dirname(__file__)
model_str = '''
modelID 42
component myComponent {
in SomeInputSlot
out SomeOutputSlot
}
'''
def test_imported_actions_connect_by_symbol_name():
g = Grammar.from_file(os.path.join(this_folder, 'by_symbol_name/model.pg... | tests/func/import/imported_actions/test_imported_actions.py | import os
from parglare import Grammar, Parser
this_folder = os.path.dirname(__file__)
model_str = '''
modelID 42
component myComponent {
in SomeInputSlot
out SomeOutputSlot
}
'''
def test_imported_actions_connect_by_symbol_name():
g = Grammar.from_file(os.path.join(this_folder, 'by_symbol_name/model.pg... | 0.554229 | 0.425904 |
def load_global_step_from_predefined_list(exp):
global_step_dict = {'20180124_max20_2M': '1155015',
}
if exp not in global_step_dict.keys():
global_step_dict[exp] = '0'
global_step = global_step_dict[exp]
return global_step
def fancy_exp_name(exp):
fancy_dict = {'A... | functions/setting/experiment_setting.py | def load_global_step_from_predefined_list(exp):
global_step_dict = {'20180124_max20_2M': '1155015',
}
if exp not in global_step_dict.keys():
global_step_dict[exp] = '0'
global_step = global_step_dict[exp]
return global_step
def fancy_exp_name(exp):
fancy_dict = {'A... | 0.377541 | 0.23292 |
import os
import pathlib
import PIL
from colorama import init, Fore
from resources.screencap_thread import start_screencap_thread, stop_screencap_threads
init()
class ScreencapsManager:
screencaps_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'screencaps')
@staticmethod
def get_screen... | src-py/resources/screencaps_manager.py | import os
import pathlib
import PIL
from colorama import init, Fore
from resources.screencap_thread import start_screencap_thread, stop_screencap_threads
init()
class ScreencapsManager:
screencaps_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'screencaps')
@staticmethod
def get_screen... | 0.323915 | 0.168925 |
import os
import torch
import torch.nn.functional as F
import matplotlib.pyplot as plt
import numpy as np
@torch.enable_grad()
def grad_cam(model, x, hooks, cls_idx=None):
""" cf CheXpert: Test Results / Visualization; visualize final conv layer, using grads of final linear layer as weights,
and performing a ... | utils/visualize_utils.py | import os
import torch
import torch.nn.functional as F
import matplotlib.pyplot as plt
import numpy as np
@torch.enable_grad()
def grad_cam(model, x, hooks, cls_idx=None):
""" cf CheXpert: Test Results / Visualization; visualize final conv layer, using grads of final linear layer as weights,
and performing a ... | 0.845974 | 0.657538 |
import boto3
import unittest
from unittest.mock import patch
from PIL import Image
from io import BytesIO, StringIO
import sys
sys.path.insert(1, '../../lambdas/moderate_content/handler')
from censor import evaluate_profanity, blur_text
class TestCensor(unittest.TestCase):
@patch('censor.get_profanity_score')... | tests/unit/test_censor.py |
import boto3
import unittest
from unittest.mock import patch
from PIL import Image
from io import BytesIO, StringIO
import sys
sys.path.insert(1, '../../lambdas/moderate_content/handler')
from censor import evaluate_profanity, blur_text
class TestCensor(unittest.TestCase):
@patch('censor.get_profanity_score')... | 0.610221 | 0.475544 |
from sqlalchemy import Column, Integer, ForeignKey
from sqlalchemy.orm import relationship
from database import Base
from mod_test.models import Test
from mod_regression.models import RegressionTest
from mod_auth.models import User
class TestFork(Base):
__tablename__ = 'test_fork'
__table_args__ = {'mysql_en... | mod_customized/models.py | from sqlalchemy import Column, Integer, ForeignKey
from sqlalchemy.orm import relationship
from database import Base
from mod_test.models import Test
from mod_regression.models import RegressionTest
from mod_auth.models import User
class TestFork(Base):
__tablename__ = 'test_fork'
__table_args__ = {'mysql_en... | 0.603348 | 0.331823 |
from compiler import Lexer
from compiler import Parser
from compiler import Facility_Domain_Compiler
from compiler import Imitation_Compiler
import difflib
def lexer_print_tokens(lexer):
token = lexer.get_next_token()
while token.type != 'EOF':
print (token)
token = lexer.get_next_token()
def test(textname, res... | python_causal_compiler/test.py | from compiler import Lexer
from compiler import Parser
from compiler import Facility_Domain_Compiler
from compiler import Imitation_Compiler
import difflib
def lexer_print_tokens(lexer):
token = lexer.get_next_token()
while token.type != 'EOF':
print (token)
token = lexer.get_next_token()
def test(textname, res... | 0.219756 | 0.120206 |
from rest_framework import serializers
from api.models import Author, Book
class AuthorSerializer(serializers.ModelSerializer):
"""
Сериализатор для получения авторов книг.
"""
class Meta:
model = Author
fields = (
'id',
'author_name',
'additional_... | api/serializers.py | from rest_framework import serializers
from api.models import Author, Book
class AuthorSerializer(serializers.ModelSerializer):
"""
Сериализатор для получения авторов книг.
"""
class Meta:
model = Author
fields = (
'id',
'author_name',
'additional_... | 0.513181 | 0.200264 |
import tokenize
# I don't think this is a minimized state machine, but it's clearer this
# way. Namely, the class vs. function states can be merged
# In the start of the module when we're expecting possibly a string that gets marked as a docstring
STATE_EXPECT_MODULE_DOCSTRING = 0
# After seeing the class keyword, we... | flake8_quotes/docstring_detection.py | import tokenize
# I don't think this is a minimized state machine, but it's clearer this
# way. Namely, the class vs. function states can be merged
# In the start of the module when we're expecting possibly a string that gets marked as a docstring
STATE_EXPECT_MODULE_DOCSTRING = 0
# After seeing the class keyword, we... | 0.397938 | 0.634034 |
import os
import pdb
import sys
from astropy.table import Table
import numpy as np
from drizzlepac import hapsequencer
from drizzlepac.haputils import hla_flag_filter
from drizzlepac.devutils.comparison_tools import compare_sourcelists
from drizzlepac.devutils.comparison_tools.read_hla import read_hla_catalog
from stsc... | drizzlepac/devutils/comparison_tools/integrate_read_hla_catalog.py | import os
import pdb
import sys
from astropy.table import Table
import numpy as np
from drizzlepac import hapsequencer
from drizzlepac.haputils import hla_flag_filter
from drizzlepac.devutils.comparison_tools import compare_sourcelists
from drizzlepac.devutils.comparison_tools.read_hla import read_hla_catalog
from stsc... | 0.41941 | 0.28704 |
import codecs
import os
import math
import operator
from functools import reduce
def fetch_data(cand, ref):
""" Store each reference and candidate sentences as a list """
references = []
if '.txt' in ref:
reference_file = codecs.open(ref, 'r', 'utf-8')
references.append(reference_file.read... | example/nmt/code/calculatebleu.py | import codecs
import os
import math
import operator
from functools import reduce
def fetch_data(cand, ref):
""" Store each reference and candidate sentences as a list """
references = []
if '.txt' in ref:
reference_file = codecs.open(ref, 'r', 'utf-8')
references.append(reference_file.read... | 0.378689 | 0.282233 |
import unittest
from flattery import flatten, unflatten
class FunctionTestCase(unittest.TestCase):
def __init__(self, **keywords):
unittest.TestCase.__init__(self)
self.args = []
self.kwargs = {}
for k, v in keywords.items():
setattr(self, k, v)
def runTest(self):
self.assertEqual( s... | test.py |
import unittest
from flattery import flatten, unflatten
class FunctionTestCase(unittest.TestCase):
def __init__(self, **keywords):
unittest.TestCase.__init__(self)
self.args = []
self.kwargs = {}
for k, v in keywords.items():
setattr(self, k, v)
def runTest(self):
self.assertEqual( s... | 0.326164 | 0.501038 |
from osgeo import gdal
import os
import numpy as np
src_dataset = gdal.Open("D:/10_Article/08_MonthlyRaster/IDW_REM/200702.tif")
geotransform = (-180.0, 0.25, 0.0, -90.0, 0.0, 0.25)
spatialreference = src_dataset.GetProjection()
ncol = 1440
nrow = 720
nband = 1
## List input raster files
os.chdir('D:/10_Article/09_Te... | 01_PythonCode/13_DW_AerosolOpticalDepth_v1.py | from osgeo import gdal
import os
import numpy as np
src_dataset = gdal.Open("D:/10_Article/08_MonthlyRaster/IDW_REM/200702.tif")
geotransform = (-180.0, 0.25, 0.0, -90.0, 0.0, 0.25)
spatialreference = src_dataset.GetProjection()
ncol = 1440
nrow = 720
nband = 1
## List input raster files
os.chdir('D:/10_Article/09_Te... | 0.173078 | 0.185966 |
import os
import json
import time
from digestparser import medium_post
from provider.article_processing import download_jats
from provider import digest_provider, email_provider, utils
from activity.objects import Activity
class activity_CreateDigestMediumPost(Activity):
def __init__(self, settings, logger, conn=... | activity/activity_CreateDigestMediumPost.py | import os
import json
import time
from digestparser import medium_post
from provider.article_processing import download_jats
from provider import digest_provider, email_provider, utils
from activity.objects import Activity
class activity_CreateDigestMediumPost(Activity):
def __init__(self, settings, logger, conn=... | 0.556159 | 0.077308 |
import os
import sys
import time
import glob
import numpy as np
import torch
import logging
import argparse
import torch.nn as nn
import torch.utils
import torch.backends.cudnn as cudnn
import joint_network as models
from dataset import OneHopDataset
from torch.utils.data import Dataset, DataLoader
import shutil
mode... | train.py | import os
import sys
import time
import glob
import numpy as np
import torch
import logging
import argparse
import torch.nn as nn
import torch.utils
import torch.backends.cudnn as cudnn
import joint_network as models
from dataset import OneHopDataset
from torch.utils.data import Dataset, DataLoader
import shutil
mode... | 0.45302 | 0.076822 |
import abc
from event.timeout import BuffTimeOut
class Buff:
def __init__(self, name, cd):
self.name = name
self.next_available = 0
self.cd = cd
self.on_going = False
def equip(self, engine, char_state):
current = engine.current_priority()
if self.next_availab... | buff/__init__.py | import abc
from event.timeout import BuffTimeOut
class Buff:
def __init__(self, name, cd):
self.name = name
self.next_available = 0
self.cd = cd
self.on_going = False
def equip(self, engine, char_state):
current = engine.current_priority()
if self.next_availab... | 0.398641 | 0.160628 |
import rospy
import tf
import sys
import math
import numpy
from geometry_msgs.msg import PointStamped
from deictic_gestures.srv import LookAt, CanLookAt
from deictic_gestures.msg import LookAtStatus
from pepper_resources_synchronizer_msgs.srv import MetaStateMachineRegister, MetaStateMachineRegisterRequest
from pepper... | scripts/look_at_srv_node.py |
import rospy
import tf
import sys
import math
import numpy
from geometry_msgs.msg import PointStamped
from deictic_gestures.srv import LookAt, CanLookAt
from deictic_gestures.msg import LookAtStatus
from pepper_resources_synchronizer_msgs.srv import MetaStateMachineRegister, MetaStateMachineRegisterRequest
from pepper... | 0.38445 | 0.169681 |
import argparse
import array
import asyncio
from collections import namedtuple
from configparser import ConfigParser
import logging
import math
from pathlib import Path
import sys
from urllib.parse import urlparse
import streams
from utils import DotDict
import vm
Log = logging.getLogger(__name__)
AnalogParametersP... | scope.py |
import argparse
import array
import asyncio
from collections import namedtuple
from configparser import ConfigParser
import logging
import math
from pathlib import Path
import sys
from urllib.parse import urlparse
import streams
from utils import DotDict
import vm
Log = logging.getLogger(__name__)
AnalogParametersP... | 0.500977 | 0.12075 |
import os
import shutil
import luigi
import rasterio as rio
from qgreenland.constants import CONFIG, TaskType
from qgreenland.util.luigi import LayerTask
from qgreenland.util.misc import find_single_file_by_ext, temporary_path_dir
from qgreenland.util.raster import gdal_calc_raster, warp_raster
class BuildRasterOve... | qgreenland/tasks/common/raster.py | import os
import shutil
import luigi
import rasterio as rio
from qgreenland.constants import CONFIG, TaskType
from qgreenland.util.luigi import LayerTask
from qgreenland.util.misc import find_single_file_by_ext, temporary_path_dir
from qgreenland.util.raster import gdal_calc_raster, warp_raster
class BuildRasterOve... | 0.262936 | 0.153676 |
class ScAddr:
def IsValid(self, other):
pass
def ToInt(self, other):
pass
def __eq__(self, other):
pass
def __ne__(self, other):
pass
def __rshift__(self, other):
pass
def rshift(self, other):
pass
class ScType:
def __eq__(self, other):
... | sc-kpm/python/_definitions/sc.py | class ScAddr:
def IsValid(self, other):
pass
def ToInt(self, other):
pass
def __eq__(self, other):
pass
def __ne__(self, other):
pass
def __rshift__(self, other):
pass
def rshift(self, other):
pass
class ScType:
def __eq__(self, other):
... | 0.61832 | 0.420005 |
from sudoku_solver import Sudoku, solve_sudoku, SudokuNotValidError
from unittest import TestCase
class SudokuTestsNoError(TestCase):
def setUp(self) -> None:
field = [
[-1, 3, -1, -1, -1, -1, -1, -1, -1],
[-1, -1, -1, 1, 9, 5, -1, -1, -1],
[-1, -1, 8, -1, -1, -1, -1, 6... | tests/test_sudoku_solver.py | from sudoku_solver import Sudoku, solve_sudoku, SudokuNotValidError
from unittest import TestCase
class SudokuTestsNoError(TestCase):
def setUp(self) -> None:
field = [
[-1, 3, -1, -1, -1, -1, -1, -1, -1],
[-1, -1, -1, 1, 9, 5, -1, -1, -1],
[-1, -1, 8, -1, -1, -1, -1, 6... | 0.360939 | 0.355048 |
from honeybee_energy.simulation.parameter import SimulationParameter
from honeybee_energy.simulation.output import SimulationOutput
from honeybee_energy.simulation.runperiod import RunPeriod
from honeybee_energy.simulation.daylightsaving import DaylightSavingTime
from honeybee_energy.simulation.control import Simulatio... | scripts/sample_simulation.py | from honeybee_energy.simulation.parameter import SimulationParameter
from honeybee_energy.simulation.output import SimulationOutput
from honeybee_energy.simulation.runperiod import RunPeriod
from honeybee_energy.simulation.daylightsaving import DaylightSavingTime
from honeybee_energy.simulation.control import Simulatio... | 0.550124 | 0.515376 |
from tkinter import *
import bookstore_back
def get_selected_row(event):
try:
global selected
index=list1.curselection()[0]
selected = list1.get(index)
e1.delete(0, END)
e1.insert(END, selected[1])
e2.delete(0, END)
e2.insert(END, selected[2])
e3.dele... | Book_ISBN_Databse/bookstore_front.py | from tkinter import *
import bookstore_back
def get_selected_row(event):
try:
global selected
index=list1.curselection()[0]
selected = list1.get(index)
e1.delete(0, END)
e1.insert(END, selected[1])
e2.delete(0, END)
e2.insert(END, selected[2])
e3.dele... | 0.116953 | 0.113334 |
from __future__ import absolute_import, division, print_function
import six
import logging
import os
import json
import numpy as np
import torch
from madminer.utils.ml import ratio_losses, flow_losses
from madminer.utils.ml.models.maf import ConditionalMaskedAutoregressiveFlow
from madminer.utils.ml.models.maf_mog im... | madminer/ml.py | from __future__ import absolute_import, division, print_function
import six
import logging
import os
import json
import numpy as np
import torch
from madminer.utils.ml import ratio_losses, flow_losses
from madminer.utils.ml.models.maf import ConditionalMaskedAutoregressiveFlow
from madminer.utils.ml.models.maf_mog im... | 0.900256 | 0.415877 |
import pytest
@pytest.fixture
def HeaderFooterItem():
from .. header_footer import HeaderFooterItem
return HeaderFooterItem
@pytest.fixture
def HeaderFooter():
from .. header_footer import HeaderFooter
return HeaderFooter
def test_ctor_item(HeaderFooterItem):
hf = HeaderFooterItem("L")
as... | SprityBird/spritybird/python3.5/lib/python3.5/site-packages/openpyxl/worksheet/tests/test_header.py |
import pytest
@pytest.fixture
def HeaderFooterItem():
from .. header_footer import HeaderFooterItem
return HeaderFooterItem
@pytest.fixture
def HeaderFooter():
from .. header_footer import HeaderFooter
return HeaderFooter
def test_ctor_item(HeaderFooterItem):
hf = HeaderFooterItem("L")
as... | 0.556761 | 0.381536 |
from functools import reduce
from bruhat import element
from bruhat.vec import Space, Hom, Map
from bruhat.action import mulclose, mulclose_hom, Perm, Group
from bruhat.argv import argv
from bruhat.util import factorial, partitions
from bruhat.rep import get_perms, Young
class Specht(object):
def __init__(self... | bruhat/qu.py |
from functools import reduce
from bruhat import element
from bruhat.vec import Space, Hom, Map
from bruhat.action import mulclose, mulclose_hom, Perm, Group
from bruhat.argv import argv
from bruhat.util import factorial, partitions
from bruhat.rep import get_perms, Young
class Specht(object):
def __init__(self... | 0.295535 | 0.462959 |
from loguru import logger
from tqdm import tqdm
from os import path as osp
import pytorch_lightning as pl
from torch import distributed as dist
from torch.utils.data import DataLoader, ConcatDataset, DistributedSampler
from src.utils.augment import build_augmentor
from src.utils.dataloader import get_local_split
from... | src/lightning/data.py | from loguru import logger
from tqdm import tqdm
from os import path as osp
import pytorch_lightning as pl
from torch import distributed as dist
from torch.utils.data import DataLoader, ConcatDataset, DistributedSampler
from src.utils.augment import build_augmentor
from src.utils.dataloader import get_local_split
from... | 0.697815 | 0.318472 |
import os
import typing
from typing import Iterator, Optional, Callable, Set
def is_proper_file(path: str) -> bool:
name = os.path.split(path)[1]
return len(name) > 0 and name[0] not in {'.', '~', '_'}
def scantree(path: str, follow_symlinks: bool=False) -> Iterator[str]:
"""List the full path of every file not ... | klgists/files/scantree.py | import os
import typing
from typing import Iterator, Optional, Callable, Set
def is_proper_file(path: str) -> bool:
name = os.path.split(path)[1]
return len(name) > 0 and name[0] not in {'.', '~', '_'}
def scantree(path: str, follow_symlinks: bool=False) -> Iterator[str]:
"""List the full path of every file not ... | 0.674372 | 0.292861 |
from flask import request, render_template, g, abort, json, redirect, jsonify, flash
from app.models.user import User
from app.models.term import Term
from app.models.course import Course
from app.models.courseStatus import CourseStatus
from app.models.courseInstructor import CourseInstructor
from app.models.courseQue... | app/controllers/serviceLearning/routes.py | from flask import request, render_template, g, abort, json, redirect, jsonify, flash
from app.models.user import User
from app.models.term import Term
from app.models.course import Course
from app.models.courseStatus import CourseStatus
from app.models.courseInstructor import CourseInstructor
from app.models.courseQue... | 0.262842 | 0.189896 |
import datetime, random, math
class ProductModel:
def __init__(self, product_id, product_type, product_name, img_url=None):
self.id = product_id
if (product_type == 1):
self.type = '농산물'
elif(product_type == 2):
self.type = '수산물'
elif(product_type == 3):
self.type = '축산물'
else:
self.type=''
... | models.py | import datetime, random, math
class ProductModel:
def __init__(self, product_id, product_type, product_name, img_url=None):
self.id = product_id
if (product_type == 1):
self.type = '농산물'
elif(product_type == 2):
self.type = '수산물'
elif(product_type == 3):
self.type = '축산물'
else:
self.type=''
... | 0.190347 | 0.19923 |
import torch
from pytorch3d.structures import Meshes
from pytorch3d.renderer import look_at_view_transform, FoVPerspectiveCameras, RasterizationSettings, PointLights, \
MeshRenderer, MeshRasterizer, SoftPhongShader, TexturesVertex
from vedo.mesh import Mesh
from vedo.io import screenshot
from vedo.plotter import sh... | Utils/mesh_visualization.py | import torch
from pytorch3d.structures import Meshes
from pytorch3d.renderer import look_at_view_transform, FoVPerspectiveCameras, RasterizationSettings, PointLights, \
MeshRenderer, MeshRasterizer, SoftPhongShader, TexturesVertex
from vedo.mesh import Mesh
from vedo.io import screenshot
from vedo.plotter import sh... | 0.591723 | 0.658363 |
from antlr4 import *
from io import StringIO
from typing.io import TextIO
import sys
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\3\32")
buf.write("\u0082\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t\6\4\7\t\7")
buf.write("\4\b\t\b\4\t\... | script/DOTParser.py | from antlr4 import *
from io import StringIO
from typing.io import TextIO
import sys
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\3\32")
buf.write("\u0082\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t\6\4\7\t\7")
buf.write("\4\b\t\b\4\t\... | 0.270191 | 0.295245 |
from datetime import datetime
import os
import re
import tempfile
from urllib.parse import urlparse, urlencode
import zipfile
class UserMistake(Exception):
"""Raised when something went wrong due to user input"""
pass
def get_id(doi):
"""Parses Zenodo DOI to isolate record id
Parameters
------... | jupyterlab_zenodo/utils.py |
from datetime import datetime
import os
import re
import tempfile
from urllib.parse import urlparse, urlencode
import zipfile
class UserMistake(Exception):
"""Raised when something went wrong due to user input"""
pass
def get_id(doi):
"""Parses Zenodo DOI to isolate record id
Parameters
------... | 0.637482 | 0.28169 |
import numpy as np
import string
import copy
from six.moves import xrange
from shapeglot.simple_utils import iterate_in_chunks
def _all_tensors_have_same_rows(tensor_list):
n = tensor_list[0].shape[0]
for i in xrange(1, len(tensor_list)):
if n != tensor_list[i].shape[0]:
return False
... | shapeglot/in_out/numpy_dataset.py | import numpy as np
import string
import copy
from six.moves import xrange
from shapeglot.simple_utils import iterate_in_chunks
def _all_tensors_have_same_rows(tensor_list):
n = tensor_list[0].shape[0]
for i in xrange(1, len(tensor_list)):
if n != tensor_list[i].shape[0]:
return False
... | 0.613005 | 0.32134 |
from pprint import pformat
from six import iteritems
class BatchEntityReport(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
... | kensu/client/models/batch_entity_report.py | from pprint import pformat
from six import iteritems
class BatchEntityReport(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
... | 0.373419 | 0.126515 |
from run_pplm import run_pplm_example
import time
import os
def output_file_path(task, bow, seed, total_samples, m, step_size):
dst_file_name = '{},PPLM-BoW,BoW={},seed={},n={},m={},step_size={}'.format(
task, bow, seed, total_samples, m, step_size)
return 'automated_evaluation/generated_samples/{}/{}... | inference/PPLM-BoW.py | from run_pplm import run_pplm_example
import time
import os
def output_file_path(task, bow, seed, total_samples, m, step_size):
dst_file_name = '{},PPLM-BoW,BoW={},seed={},n={},m={},step_size={}'.format(
task, bow, seed, total_samples, m, step_size)
return 'automated_evaluation/generated_samples/{}/{}... | 0.540196 | 0.301279 |
""" Collection of Request utility functions """
import hashlib
import time
import subprocess
import sys
import ast
import uuid
import types
from engine.errors import ResponseParsingException
from engine.errors import TransportLayerException
from restler_settings import Settings
import engine.primitives as primitives
... | restler/engine/core/request_utilities.py |
""" Collection of Request utility functions """
import hashlib
import time
import subprocess
import sys
import ast
import uuid
import types
from engine.errors import ResponseParsingException
from engine.errors import TransportLayerException
from restler_settings import Settings
import engine.primitives as primitives
... | 0.559531 | 0.145783 |
from __future__ import absolute_import, print_function, unicode_literals
import re
import uuid
import logbook
import six
import validate_email
import stethoscope.exceptions
logger = logbook.Logger(__name__)
MACADDR_PATTERN = re.compile(r'^' + r'\:?'.join([r'([0-9A-F]{1,2})'] * 6) + r'$', re.IGNORECASE)
def _is_... | stethoscope/validation.py |
from __future__ import absolute_import, print_function, unicode_literals
import re
import uuid
import logbook
import six
import validate_email
import stethoscope.exceptions
logger = logbook.Logger(__name__)
MACADDR_PATTERN = re.compile(r'^' + r'\:?'.join([r'([0-9A-F]{1,2})'] * 6) + r'$', re.IGNORECASE)
def _is_... | 0.770076 | 0.17139 |
import pandas as pd
from splinter import Browser
from bs4 import BeautifulSoup
from webdriver_manager.chrome import ChromeDriverManager
data = {}
def scrape_all():
#setup path & initialize browser
executable_path = {'executable_path': ChromeDriverManager().install()}
browser = Browser('chrome', **executable... | scrape_mars.py | import pandas as pd
from splinter import Browser
from bs4 import BeautifulSoup
from webdriver_manager.chrome import ChromeDriverManager
data = {}
def scrape_all():
#setup path & initialize browser
executable_path = {'executable_path': ChromeDriverManager().install()}
browser = Browser('chrome', **executable... | 0.328422 | 0.138928 |
import os.path
#!/usr/bin/python
# -*- coding: utf-8 -*-
# We need this for gui controls
import gui3d
import os
import humanmodifier
import events3d
class AssymSlider(gui3d.Slider):
def __init__(self, bodypart, label):
gui3d.Slider.__init__(self, value=0.0, min=-1.0, max=1.0, label=label... | plugins/0_modeling_7_asymm.py | import os.path
#!/usr/bin/python
# -*- coding: utf-8 -*-
# We need this for gui controls
import gui3d
import os
import humanmodifier
import events3d
class AssymSlider(gui3d.Slider):
def __init__(self, bodypart, label):
gui3d.Slider.__init__(self, value=0.0, min=-1.0, max=1.0, label=label... | 0.359252 | 0.195959 |
import os, string
from xml.dom import Node
from Ft.Lib import Uri, UriException
def Test(tester):
base_uri = Uri.OsPathToUri(__file__, attemptAbsolute=True)
tester.startTest('Creating test environment')
from Ft.Xml import XPointer
from Ft.Xml import Domlette
r = Domlette.NonvalidatingReader
doc... | dependencies/src/4Suite-XML-1.0.2/test/Xml/XPointer/basic_test.py | import os, string
from xml.dom import Node
from Ft.Lib import Uri, UriException
def Test(tester):
base_uri = Uri.OsPathToUri(__file__, attemptAbsolute=True)
tester.startTest('Creating test environment')
from Ft.Xml import XPointer
from Ft.Xml import Domlette
r = Domlette.NonvalidatingReader
doc... | 0.201499 | 0.187504 |
from pyasn1.type.namedtype import NamedType, NamedTypes, OptionalNamedType, DefaultedNamedType
from pyasn1.type.namedval import NamedValues
from asn1PERser.classes.data.builtin import *
from asn1PERser.classes.types.type import AdditiveNamedTypes
from asn1PERser.classes.types.constraint import MIN, MAX, NoConstraint, E... | asn1PERser/test/parsing/asn1_python_code/Types_containing_constrained_types.py | from pyasn1.type.namedtype import NamedType, NamedTypes, OptionalNamedType, DefaultedNamedType
from pyasn1.type.namedval import NamedValues
from asn1PERser.classes.data.builtin import *
from asn1PERser.classes.types.type import AdditiveNamedTypes
from asn1PERser.classes.types.constraint import MIN, MAX, NoConstraint, E... | 0.7181 | 0.42185 |
import re
import abc
import nltk
import typing
import collections
import numpy as np
match_punc = re.compile('[^\w\s]')
class ProcessorUnit(metaclass=abc.ABCMeta):
"""Process unit do not persive state (i.e. do not need fit)."""
@abc.abstractmethod
def transform(self, input: typing.Any):
"""Abs... | matchzoo/preprocessor/process_units.py |
import re
import abc
import nltk
import typing
import collections
import numpy as np
match_punc = re.compile('[^\w\s]')
class ProcessorUnit(metaclass=abc.ABCMeta):
"""Process unit do not persive state (i.e. do not need fit)."""
@abc.abstractmethod
def transform(self, input: typing.Any):
"""Abs... | 0.830697 | 0.478407 |
DESC = "mps-2019-06-12"
INFO = {
"CreateSnapshotByTimeOffsetTemplate": {
"params": [
{
"name": "Name",
"desc": "Name of a time point screencapturing template. Length limit: 64 characters."
},
{
"name": "Width",
"desc": "Image width in px. Value range: [128, 4,096]... | tccli/services/mps/v20190612/help.py | DESC = "mps-2019-06-12"
INFO = {
"CreateSnapshotByTimeOffsetTemplate": {
"params": [
{
"name": "Name",
"desc": "Name of a time point screencapturing template. Length limit: 64 characters."
},
{
"name": "Width",
"desc": "Image width in px. Value range: [128, 4,096]... | 0.904982 | 0.497192 |
from __future__ import annotations
from typing import Iterable, Iterator
from .instruction import Instruction, Operation
class ReverseMonad:
@staticmethod
def from_str(lines: Iterator[str]) -> ReverseMonad:
instructions = [Instruction.from_str(line) for line in lines]
return ReverseMonad(ins... | advent/days/day24/reverse_monad.py | from __future__ import annotations
from typing import Iterable, Iterator
from .instruction import Instruction, Operation
class ReverseMonad:
@staticmethod
def from_str(lines: Iterator[str]) -> ReverseMonad:
instructions = [Instruction.from_str(line) for line in lines]
return ReverseMonad(ins... | 0.837321 | 0.273162 |
import numpy as np
from astropy.table import Column, Table
from gammapy.maps import Map
from gammapy.modeling.models import PowerLawSpectralModel, SkyModel
from gammapy.stats import WStatCountsStatistic
from ..core import Estimator
__all__ = ["SensitivityEstimator"]
class SensitivityEstimator(Estimator):
"""Esti... | gammapy/estimators/points/sensitivity.py | import numpy as np
from astropy.table import Column, Table
from gammapy.maps import Map
from gammapy.modeling.models import PowerLawSpectralModel, SkyModel
from gammapy.stats import WStatCountsStatistic
from ..core import Estimator
__all__ = ["SensitivityEstimator"]
class SensitivityEstimator(Estimator):
"""Esti... | 0.931704 | 0.59928 |
import numpy as np
import numpy.ma as ma
import warnings
import numba
try:
import scipy.sparse as sp
SCIPY_INSTALLED = True
except ImportError:
SCIPY_INSTALLED = False
class InvalidValuesWarning(UserWarning):
pass
def _pad_list(x, padding_val=-999):
if not isinstance(x, list):
raise Typ... | rankereval/data.py | import numpy as np
import numpy.ma as ma
import warnings
import numba
try:
import scipy.sparse as sp
SCIPY_INSTALLED = True
except ImportError:
SCIPY_INSTALLED = False
class InvalidValuesWarning(UserWarning):
pass
def _pad_list(x, padding_val=-999):
if not isinstance(x, list):
raise Typ... | 0.682468 | 0.375964 |
from imutils.video import VideoStream
from imutils.video import FPS
import numpy as np
import argparse
import imutils
import time
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-p", "--prototxt", required=True,
help="path to Caffe 'deploy' prototxt file")
ap.add_argument("-m", "--model", required=True,
... | REALTIME_OPENCV_DEEP_LEARNING/real_time_object_detection.py | from imutils.video import VideoStream
from imutils.video import FPS
import numpy as np
import argparse
import imutils
import time
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-p", "--prototxt", required=True,
help="path to Caffe 'deploy' prototxt file")
ap.add_argument("-m", "--model", required=True,
... | 0.339828 | 0.232299 |
import argparse
import logging
from typing import List, Optional, Dict, Union
import tornado.ioloop
import tornado.web
import tornado.httpserver
import tornado.log
import asyncio
from tornado import concurrent
from .utils import utils
import kserve.handlers as handlers
from kserve import Model
from kserve.model_repo... | python/kserve/kserve/model_server.py |
import argparse
import logging
from typing import List, Optional, Dict, Union
import tornado.ioloop
import tornado.web
import tornado.httpserver
import tornado.log
import asyncio
from tornado import concurrent
from .utils import utils
import kserve.handlers as handlers
from kserve import Model
from kserve.model_repo... | 0.791821 | 0.076649 |
import abc
from oslo_config import cfg
from oslo_db import api as db_api
import six
_BACKEND_MAPPING = {'sqlalchemy': 'cyborg.db.sqlalchemy.api'}
IMPL = db_api.DBAPI.from_config(cfg.CONF,
backend_mapping=_BACKEND_MAPPING,
lazy=True)
def get_instance()... | cyborg/db/api.py | import abc
from oslo_config import cfg
from oslo_db import api as db_api
import six
_BACKEND_MAPPING = {'sqlalchemy': 'cyborg.db.sqlalchemy.api'}
IMPL = db_api.DBAPI.from_config(cfg.CONF,
backend_mapping=_BACKEND_MAPPING,
lazy=True)
def get_instance()... | 0.79999 | 0.088505 |
import dash
import numpy as np
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_bootstrap_components as dbc
import dash_html_components as html
import dash_daq as daq
from app import app
import plotly.graph_objs as go
import json, codecs
from scipy.integrate import simps... | callbacks/resultsappendagesplots.py | import dash
import numpy as np
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_bootstrap_components as dbc
import dash_html_components as html
import dash_daq as daq
from app import app
import plotly.graph_objs as go
import json, codecs
from scipy.integrate import simps... | 0.392337 | 0.180612 |