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 ctypes, ctypes.util
from OpenGL.platform import baseplatform, ctypesloader
class EGLPlatform( baseplatform.BasePlatform ):
"""EGL platform for opengl-es only platforms"""
@baseplatform.lazy_property
def GLES1(self):
try:
return ctypesloader.loadLibrary(
ctypes.cdl... | env/Lib/site-packages/OpenGL/platform/egl.py | import ctypes, ctypes.util
from OpenGL.platform import baseplatform, ctypesloader
class EGLPlatform( baseplatform.BasePlatform ):
"""EGL platform for opengl-es only platforms"""
@baseplatform.lazy_property
def GLES1(self):
try:
return ctypesloader.loadLibrary(
ctypes.cdl... | 0.166947 | 0.087408 |
from typing import Dict, Optional, Tuple, Union
import torch
from torch.distributions import Bernoulli, Beta, Uniform
from kornia.augmentation.random_generator._2d.probability import random_prob_generator
from kornia.augmentation.random_generator.base import RandomGeneratorBase
from kornia.augmentation.utils import (... | kornia/augmentation/random_generator/_2d/cutmix.py | from typing import Dict, Optional, Tuple, Union
import torch
from torch.distributions import Bernoulli, Beta, Uniform
from kornia.augmentation.random_generator._2d.probability import random_prob_generator
from kornia.augmentation.random_generator.base import RandomGeneratorBase
from kornia.augmentation.utils import (... | 0.971293 | 0.534916 |
import numpy as np
__all__ = ['MolFiniteDifference']
class MolFiniteDifference:
"""Helper to calculate derivatives of some value as a function of Cartesian displacements in a molecule."""
weights_der1 = {'3': np.array([-1 / 2, 0, 1 / 2]),
'5': np.array([1 / 12, -2 / 3, 0, 2 / 3, -1 / 12])... | pyvibdmc/simulation_utilities/initial_conditioner/finite_difference.py | import numpy as np
__all__ = ['MolFiniteDifference']
class MolFiniteDifference:
"""Helper to calculate derivatives of some value as a function of Cartesian displacements in a molecule."""
weights_der1 = {'3': np.array([-1 / 2, 0, 1 / 2]),
'5': np.array([1 / 12, -2 / 3, 0, 2 / 3, -1 / 12])... | 0.879742 | 0.76882 |
load("//tools:defaults.bzl", "rollup_bundle", "ts_library")
load("@npm_bazel_karma//:index.bzl", "karma_web_test_suite")
def karma_test_prepare(name, env_srcs, env_deps, env_entry_point, test_srcs, test_deps, test_entry_point):
ts_library(
name = name + "_env",
testonly = True,
srcs = env_s... | packages/zone.js/test/karma_test.bzl | load("//tools:defaults.bzl", "rollup_bundle", "ts_library")
load("@npm_bazel_karma//:index.bzl", "karma_web_test_suite")
def karma_test_prepare(name, env_srcs, env_deps, env_entry_point, test_srcs, test_deps, test_entry_point):
ts_library(
name = name + "_env",
testonly = True,
srcs = env_s... | 0.251096 | 0.19619 |
import unittest
from pygorithm.math import (
lcm,
lcm_using_gcd,
sieve_of_eratosthenes,
factorial,
conversion,
matrix_operations,
)
class TestLCM(unittest.TestCase):
def test_lcm(self):
self.assertEqual(lcm.lcm([3, 12, 16]), 48)
def test_lcm_using_gcd(self):
self.asse... | WEEKS/CD_Sata-Structures/_RESOURCES/pygorithm/tests/test_math.py | import unittest
from pygorithm.math import (
lcm,
lcm_using_gcd,
sieve_of_eratosthenes,
factorial,
conversion,
matrix_operations,
)
class TestLCM(unittest.TestCase):
def test_lcm(self):
self.assertEqual(lcm.lcm([3, 12, 16]), 48)
def test_lcm_using_gcd(self):
self.asse... | 0.58522 | 0.660487 |
import copy
import json
import click
from maxrect import get_maximal_rectangle, rect2poly, get_intersection
@click.command('max-rect')
@click.argument('polygon', default='-', required=False, nargs=1)
@click.option('--compare', is_flag=True, help='Leaves the original polygon in the feature collection')
@click.pass_con... | maxrect/scripts/cli.py | import copy
import json
import click
from maxrect import get_maximal_rectangle, rect2poly, get_intersection
@click.command('max-rect')
@click.argument('polygon', default='-', required=False, nargs=1)
@click.option('--compare', is_flag=True, help='Leaves the original polygon in the feature collection')
@click.pass_con... | 0.372163 | 0.304688 |
from ostorlab.runtimes.local.models import models
def testModels_whenDatabaseDoesNotExist_DatabaseAndScanCreated(mocker, db_engine_path):
"""Test when database does not exists, scan is populated in a newly created database."""
mocker.patch.object(models, 'ENGINE_URL', db_engine_path)
models.Database().cre... | tests/runtimes/local/models/models_test.py | from ostorlab.runtimes.local.models import models
def testModels_whenDatabaseDoesNotExist_DatabaseAndScanCreated(mocker, db_engine_path):
"""Test when database does not exists, scan is populated in a newly created database."""
mocker.patch.object(models, 'ENGINE_URL', db_engine_path)
models.Database().cre... | 0.704465 | 0.421254 |
import numpy as np
from pyNastran.converters.stl.stl import read_stl
from scipy.spatial import cKDTree
import scipy.interpolate
def projected_barycentric_coord(p, q, u, v):
r"""
points p, q
vector u, v
3
*v
/ \ <----p
q*----*u
1 2
u = p2 - p1
v = p3 - p1
... | pyNastran/converters/stl/dev/stl_mesh.py | import numpy as np
from pyNastran.converters.stl.stl import read_stl
from scipy.spatial import cKDTree
import scipy.interpolate
def projected_barycentric_coord(p, q, u, v):
r"""
points p, q
vector u, v
3
*v
/ \ <----p
q*----*u
1 2
u = p2 - p1
v = p3 - p1
... | 0.611614 | 0.49823 |
from torch.testing._internal.common_utils import (
TestCase, run_tests,
)
from datetime import timedelta, datetime
import tempfile
import time
from torch.monitor import (
Aggregation,
Event,
log_event,
register_event_handler,
unregister_event_handler,
Stat,
TensorboardEventHandler,
)
... | test/test_monitor.py |
from torch.testing._internal.common_utils import (
TestCase, run_tests,
)
from datetime import timedelta, datetime
import tempfile
import time
from torch.monitor import (
Aggregation,
Event,
log_event,
register_event_handler,
unregister_event_handler,
Stat,
TensorboardEventHandler,
)
... | 0.698124 | 0.454714 |
import sys
import tensorflow as tf
sys.path.append("..")
from model_utils import bi_rnn_encoder
class Content_Enc_Model(object):
"""
content encoder model (pretrained as a character recognizer), input format-3
"""
def __init__(self,
init_lr = 0.001,
batch_size=1024... | pretrain_content_enc/content_enc_model.py | import sys
import tensorflow as tf
sys.path.append("..")
from model_utils import bi_rnn_encoder
class Content_Enc_Model(object):
"""
content encoder model (pretrained as a character recognizer), input format-3
"""
def __init__(self,
init_lr = 0.001,
batch_size=1024... | 0.682679 | 0.206014 |
import psycopg2
import metautils
from dbsettings import settings
metautils.setsettings(settings)
print '\nMarking all Bonn Google data as rejected (needs to be changed if Google searches are ever resumed!'
cur = metautils.getDBCursor(settings, dictCursor = True)
cur.execute('update data set accepted = %s where city... | utils/consistentDb.py | import psycopg2
import metautils
from dbsettings import settings
metautils.setsettings(settings)
print '\nMarking all Bonn Google data as rejected (needs to be changed if Google searches are ever resumed!'
cur = metautils.getDBCursor(settings, dictCursor = True)
cur.execute('update data set accepted = %s where city... | 0.128006 | 0.122392 |
import random
from rest_framework import serializers
from .payments import flutter_wave
from django.contrib.auth.models import update_last_login
from .models import Wallet, TransactionHistory
from django.contrib.auth import get_user_model, authenticate
from rest_framework_jwt.settings import api_settings
from django.sh... | Wallets/serializers.py | import random
from rest_framework import serializers
from .payments import flutter_wave
from django.contrib.auth.models import update_last_login
from .models import Wallet, TransactionHistory
from django.contrib.auth import get_user_model, authenticate
from rest_framework_jwt.settings import api_settings
from django.sh... | 0.357231 | 0.190366 |
import torch
import torch.nn as nn
import torch.nn.functional as F
class RCAN(nn.Module):
"""
RCAN:
Image Super-Resolution Using Very Deep Residual Channel Attention Networks,
<NAME>, <NAME>, <NAME>, <NAME>, <NAME>, and <NAME>
"""
def __init__(self, upscale_factor, input_channels, channel_mas... | SuperresolutionNetwork/models/rcan.py | import torch
import torch.nn as nn
import torch.nn.functional as F
class RCAN(nn.Module):
"""
RCAN:
Image Super-Resolution Using Very Deep Residual Channel Attention Networks,
<NAME>, <NAME>, <NAME>, <NAME>, <NAME>, and <NAME>
"""
def __init__(self, upscale_factor, input_channels, channel_mas... | 0.885322 | 0.497376 |
# pylint: disable=broad-except, bad-continuation, no-member
import pathlib
import json
import os
import tempfile
import zipfile
from integrationhelper import Validate, Logger
from aiogithubapi import AIOGitHubException
from .manifest import HacsManifest
from ..helpers.misc import get_repository_name
from ..hacsbase imp... | config/custom_components/hacs/repositories/repository.py | # pylint: disable=broad-except, bad-continuation, no-member
import pathlib
import json
import os
import tempfile
import zipfile
from integrationhelper import Validate, Logger
from aiogithubapi import AIOGitHubException
from .manifest import HacsManifest
from ..helpers.misc import get_repository_name
from ..hacsbase imp... | 0.615319 | 0.091058 |
from datetime import timedelta
from .securitas_direct_new_api.dataTypes import (
AirQuality,
Sentinel,
Service,
)
from homeassistant.components.sensor import SensorDeviceClass, SensorEntity
from homeassistant.const import PERCENTAGE, TEMP_CELSIUS
from . import CONF_ALARM, HUB as hub
SCAN_INTERVAL = timed... | custom_components/securitas/sensor.py | from datetime import timedelta
from .securitas_direct_new_api.dataTypes import (
AirQuality,
Sentinel,
Service,
)
from homeassistant.components.sensor import SensorDeviceClass, SensorEntity
from homeassistant.const import PERCENTAGE, TEMP_CELSIUS
from . import CONF_ALARM, HUB as hub
SCAN_INTERVAL = timed... | 0.866232 | 0.189427 |
"""Tests for tensorflow.kernels.edit_distance_op."""
import numpy as np
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import ops
from tensorflow.python.framework import sparse_tensor
from tensorflow.python.ops import array_ops
from tensorflow.python.platform import test
def Co... | tensorflow/python/kernel_tests/array_ops/edit_distance_op_test.py | """Tests for tensorflow.kernels.edit_distance_op."""
import numpy as np
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import ops
from tensorflow.python.framework import sparse_tensor
from tensorflow.python.ops import array_ops
from tensorflow.python.platform import test
def Co... | 0.859914 | 0.736211 |
def test_map():
# apply an operation to each member of a sequence
items = [1, 2, 3, 4, 5]
squared = []
for x in items:
squared.append(x ** 2)
assert squared == [1, 4, 9, 16, 25]
# -------------------------------------------------------------------------
# OR:
items = [1, 2... | app/language_features/map_red_filt/ex.py |
def test_map():
# apply an operation to each member of a sequence
items = [1, 2, 3, 4, 5]
squared = []
for x in items:
squared.append(x ** 2)
assert squared == [1, 4, 9, 16, 25]
# -------------------------------------------------------------------------
# OR:
items = [1, 2... | 0.820793 | 0.938011 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from .blocks import *
__all__ = [
"XceptionNet",
]
class XceptionNet(nn.Module):
def __init__(
self,
image_channels: int,
num_classes: int,
):
super().__init__()
# Entry Flow
self.conv1 = C... | models/Xception/models.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from .blocks import *
__all__ = [
"XceptionNet",
]
class XceptionNet(nn.Module):
def __init__(
self,
image_channels: int,
num_classes: int,
):
super().__init__()
# Entry Flow
self.conv1 = C... | 0.931463 | 0.343163 |
import autodisc as ad
import goalrepresent as gr
def get_system_config():
system_config = ad.systems.Lenia.default_config()
system_config.version = "pytorch_fft"
system_config.use_gpu = True
return system_config
def get_system_parameters():
system_parameters = ad.systems.Lenia.default_system_param... | experiments/IMGEP-HOLMES (SLP)/repetition_000009/experiment_config.py | import autodisc as ad
import goalrepresent as gr
def get_system_config():
system_config = ad.systems.Lenia.default_config()
system_config.version = "pytorch_fft"
system_config.use_gpu = True
return system_config
def get_system_parameters():
system_parameters = ad.systems.Lenia.default_system_param... | 0.481941 | 0.216726 |
import pytest
from django.contrib import auth
from django.urls import reverse
from webdev.users.models import User
from pytest_django.asserts import assertContains
# Registro
@pytest.fixture
def resposta_registro(client):
resp = client.get(reverse('registro'))
return resp
def test_registro_status_code(respost... | webdev/users/tests/test_users_get.py | import pytest
from django.contrib import auth
from django.urls import reverse
from webdev.users.models import User
from pytest_django.asserts import assertContains
# Registro
@pytest.fixture
def resposta_registro(client):
resp = client.get(reverse('registro'))
return resp
def test_registro_status_code(respost... | 0.31785 | 0.315551 |
from __future__ import annotations
from ssl import create_default_context
from typing import TYPE_CHECKING
from urllib.parse import urlparse
from weakref import WeakValueDictionary
from anyio import BrokenResourceError, EndOfStream, Event, Lock, connect_tcp, sleep
from anyio.streams.tls import TLSStream
from certifi ... | discpyth/backends/_anyio/http.py | from __future__ import annotations
from ssl import create_default_context
from typing import TYPE_CHECKING
from urllib.parse import urlparse
from weakref import WeakValueDictionary
from anyio import BrokenResourceError, EndOfStream, Event, Lock, connect_tcp, sleep
from anyio.streams.tls import TLSStream
from certifi ... | 0.812682 | 0.084682 |
from object_library import all_lorentz, Lorentz
from function_library import complexconjugate, re, im, csc, sec, acsc, asec, cot
try:
import form_factors as ForFac
except ImportError:
pass
UUS1 = Lorentz(name = 'UUS1',
spins = [ -1, -1, 1 ],
structure = '1')
UUV1 = Lorentz(nam... | examples/example4_systematics_DY/data/mg_processes/DY_sys/bin/internal/ufomodel/lorentz.py |
from object_library import all_lorentz, Lorentz
from function_library import complexconjugate, re, im, csc, sec, acsc, asec, cot
try:
import form_factors as ForFac
except ImportError:
pass
UUS1 = Lorentz(name = 'UUS1',
spins = [ -1, -1, 1 ],
structure = '1')
UUV1 = Lorentz(nam... | 0.397588 | 0.462534 |
import os
import sys
import imp
import os.path
import linecache
import re
from . import callbacks, conf, log, registry
installDir = os.path.dirname(sys.modules[__name__].__file__)
_pluginsDir = os.path.join(installDir, 'plugins')
class Deprecated(ImportError):
pass
def loadPluginModule(name, ignoreDeprecation=... | src/plugin.py |
import os
import sys
import imp
import os.path
import linecache
import re
from . import callbacks, conf, log, registry
installDir = os.path.dirname(sys.modules[__name__].__file__)
_pluginsDir = os.path.join(installDir, 'plugins')
class Deprecated(ImportError):
pass
def loadPluginModule(name, ignoreDeprecation=... | 0.391871 | 0.066691 |
import os
from copy import deepcopy
import torch
from torch import nn
from torch.optim import SGD
from torch.utils.data import DataLoader
from torchvision import models, transforms
from torchvision.datasets import CIFAR10
from pytorch_lightning import LightningModule, LightningDataModule, Trainer
from pytorch_lightn... | pl_logger.py | import os
from copy import deepcopy
import torch
from torch import nn
from torch.optim import SGD
from torch.utils.data import DataLoader
from torchvision import models, transforms
from torchvision.datasets import CIFAR10
from pytorch_lightning import LightningModule, LightningDataModule, Trainer
from pytorch_lightn... | 0.921794 | 0.503723 |
import asyncio
from typing import Dict
from pyzeebe import (
Job,
ZeebeWorker,
create_camunda_cloud_channel,
create_insecure_channel,
create_secure_channel,
)
from pyzeebe.errors import BusinessError
# Use decorators to add functionality before and after tasks. These will not fail the task
async ... | examples/worker.py | import asyncio
from typing import Dict
from pyzeebe import (
Job,
ZeebeWorker,
create_camunda_cloud_channel,
create_insecure_channel,
create_secure_channel,
)
from pyzeebe.errors import BusinessError
# Use decorators to add functionality before and after tasks. These will not fail the task
async ... | 0.692642 | 0.139133 |
from django.conf import settings as django_settings
from django.utils.translation import gettext_lazy as _
from django.test.signals import setting_changed
from mapwidgets.constants import TIMEZONE_COORDINATES
DEFAULTS = {
"GooglePointFieldWidget": (
("mapCenterLocationName", None),
("mapCenterLoc... | mapwidgets/settings.py | from django.conf import settings as django_settings
from django.utils.translation import gettext_lazy as _
from django.test.signals import setting_changed
from mapwidgets.constants import TIMEZONE_COORDINATES
DEFAULTS = {
"GooglePointFieldWidget": (
("mapCenterLocationName", None),
("mapCenterLoc... | 0.512449 | 0.167457 |
import dataclasses
import functools
import typing
from datetime import datetime
from time import sleep
from openstack import connect
import glci
class OpenstackImageUploader:
'''OpenstackImageUploader is a client to upload images to Openstack Glance.'''
def __init__(self, environment: glci.model.OpenstackEn... | ci/glci/openstack_image.py | import dataclasses
import functools
import typing
from datetime import datetime
from time import sleep
from openstack import connect
import glci
class OpenstackImageUploader:
'''OpenstackImageUploader is a client to upload images to Openstack Glance.'''
def __init__(self, environment: glci.model.OpenstackEn... | 0.588416 | 0.135089 |
import os
import sys
import subprocess
import re
from setuptools import setup, find_packages, Extension
# this should only be run with python3
import sys
if sys.version_info[0] < 3:
print('ERROR: must run with python3')
sys.exit(1)
tcf_root_dir = os.environ.get('TCF_HOME', '../..')
version = subprocess.ch... | common/python/setup.py |
import os
import sys
import subprocess
import re
from setuptools import setup, find_packages, Extension
# this should only be run with python3
import sys
if sys.version_info[0] < 3:
print('ERROR: must run with python3')
sys.exit(1)
tcf_root_dir = os.environ.get('TCF_HOME', '../..')
version = subprocess.ch... | 0.213295 | 0.073397 |
from tempest.api.compute import base
from tempest.lib.common.utils import data_utils
from tempest.lib import decorators
from tempest import test
class SecurityGroupsTestAdminJSON(base.BaseV2ComputeAdminTest):
@classmethod
def setup_clients(cls):
super(SecurityGroupsTestAdminJSON, cls).setup_clients(... | tempest/api/compute/admin/test_security_groups.py |
from tempest.api.compute import base
from tempest.lib.common.utils import data_utils
from tempest.lib import decorators
from tempest import test
class SecurityGroupsTestAdminJSON(base.BaseV2ComputeAdminTest):
@classmethod
def setup_clients(cls):
super(SecurityGroupsTestAdminJSON, cls).setup_clients(... | 0.382603 | 0.167015 |
from mininet.net import Mininet
from mininet.node import Switch, Host
from mininet.log import setLogLevel, info, error, debug
from mininet.moduledeps import pathCheck
from sys import exit
from time import sleep
import os
import tempfile
import socket
class P4Host(Host):
def config(self, **params):
r = sup... | SIGCOMM_2017/utils/mininet/p4_mininet.py |
from mininet.net import Mininet
from mininet.node import Switch, Host
from mininet.log import setLogLevel, info, error, debug
from mininet.moduledeps import pathCheck
from sys import exit
from time import sleep
import os
import tempfile
import socket
class P4Host(Host):
def config(self, **params):
r = sup... | 0.367157 | 0.093719 |
from __future__ import unicode_literals
from indico.core.settings import AttributeProxyProperty
from indico.modules.events.models.reviews import ProposalMixin
from indico.modules.events.papers.models.revisions import PaperRevisionState
from indico.util.locators import locator_property
from indico.util.string import r... | indico/modules/events/papers/models/papers.py |
from __future__ import unicode_literals
from indico.core.settings import AttributeProxyProperty
from indico.modules.events.models.reviews import ProposalMixin
from indico.modules.events.papers.models.revisions import PaperRevisionState
from indico.util.locators import locator_property
from indico.util.string import r... | 0.836555 | 0.141281 |
class Value:
def __init__(self, n):
self.n = int(n)
def __repr__(self):
return str(self.n)
class PC:
def __init__(self):
self._n = 0
self.allow_step = True
@property
def n(self):
return self._n
@n.setter
def n(self, value):
self.allow_st... | 9/1.py |
class Value:
def __init__(self, n):
self.n = int(n)
def __repr__(self):
return str(self.n)
class PC:
def __init__(self):
self._n = 0
self.allow_step = True
@property
def n(self):
return self._n
@n.setter
def n(self, value):
self.allow_st... | 0.50952 | 0.293867 |
import re
from random import randrange
from model.contact import Contact
def test_random_contact_on_home_page(app):
if app.contact.count_contact() == 0:
contact = Contact(first_name="Trick", middle_name="", last_name="Truck",
nickname="", title="", company_name="Big MO",
... | test/TestContact.py | import re
from random import randrange
from model.contact import Contact
def test_random_contact_on_home_page(app):
if app.contact.count_contact() == 0:
contact = Contact(first_name="Trick", middle_name="", last_name="Truck",
nickname="", title="", company_name="Big MO",
... | 0.354433 | 0.245967 |
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = '''
---
module: ali_eni_facts
short_description: Gather facts about ENI interfaces in Alibaba Cloud
description:
- Gather facts about EN... | lib/ansible/modules/cloud/alicloud/_ali_eni_facts.py |
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = '''
---
module: ali_eni_facts
short_description: Gather facts about ENI interfaces in Alibaba Cloud
description:
- Gather facts about EN... | 0.724188 | 0.357624 |
from __future__ import absolute_import, unicode_literals
import io
import os
import sys
import warnings
import functools
from collections import defaultdict
from functools import partial
from functools import wraps
from importlib import import_module
from distutils.errors import DistutilsOptionError, DistutilsFileEr... | venv/lib/python3.8/site-packages/setuptools/config.py |
from __future__ import absolute_import, unicode_literals
import io
import os
import sys
import warnings
import functools
from collections import defaultdict
from functools import partial
from functools import wraps
from importlib import import_module
from distutils.errors import DistutilsOptionError, DistutilsFileEr... | 0.667473 | 0.119845 |
from bson import ObjectId
from app.api.data.command.ExerciseEvaluationMongoCommandRepository import ExerciseEvaluationMongoCommandRepository
from app.api.domain.models.ExerciseEvaluation import ExerciseEvaluation
from app.api.domain.services.data.command.errors.CommandError import CommandError
from tests.integration.P... | app/tests/integration/ExerciseEvaluationMongoCommandRepositoryIntegrationTest.py | from bson import ObjectId
from app.api.data.command.ExerciseEvaluationMongoCommandRepository import ExerciseEvaluationMongoCommandRepository
from app.api.domain.models.ExerciseEvaluation import ExerciseEvaluation
from app.api.domain.services.data.command.errors.CommandError import CommandError
from tests.integration.P... | 0.614047 | 0.332581 |
import os
import sys
import MySQLdb
from picker_tuner import picker_tuner
from icecream import ic
ic.configureOutput(prefix='debug| ')
def main():
"""Read parmas, choose in wich modules will be
tuned, and run it
"""
# default parameters
params = {'debug': False, 'max_picks': 50, 'n_trials': 100}
... | sc3autotuner.py | import os
import sys
import MySQLdb
from picker_tuner import picker_tuner
from icecream import ic
ic.configureOutput(prefix='debug| ')
def main():
"""Read parmas, choose in wich modules will be
tuned, and run it
"""
# default parameters
params = {'debug': False, 'max_picks': 50, 'n_trials': 100}
... | 0.192615 | 0.075585 |
import importlib
import pathlib
import os
import os.path
import sys
import re
import subprocess
from dexbot.whiptail import get_whiptail
from dexbot.strategies.base import StrategyBase
import dexbot.helper
STRATEGIES = [
{'tag': 'relative',
'class': 'dexbot.strategies.relative_orders',
'name': 'Relative... | dexbot/cli_conf.py | import importlib
import pathlib
import os
import os.path
import sys
import re
import subprocess
from dexbot.whiptail import get_whiptail
from dexbot.strategies.base import StrategyBase
import dexbot.helper
STRATEGIES = [
{'tag': 'relative',
'class': 'dexbot.strategies.relative_orders',
'name': 'Relative... | 0.299105 | 0.085099 |
import io
import json
import contextlib
try:
from types import TypeType as type
except ImportError:
pass
import semver
from . import util
class PackageStub(object):
keys = ['name', 'version', 'description', 'license', 'compatibility']
def __init__(self, defaults=None):
defaults = defaults o... | venv/Lib/site-packages/sputnik/package_stub.py | import io
import json
import contextlib
try:
from types import TypeType as type
except ImportError:
pass
import semver
from . import util
class PackageStub(object):
keys = ['name', 'version', 'description', 'license', 'compatibility']
def __init__(self, defaults=None):
defaults = defaults o... | 0.569254 | 0.093637 |
from contextlib import contextmanager
import tensorflow as tf
from ..tfutils.common import get_tf_version_tuple
from ..compat import tfv1
from ..utils.develop import HIDE_DOC
from .gradproc import FilterNoneGrad, GradientProcessor
__all__ = ['apply_grad_processors', 'ProxyOptimizer',
'PostProcessOptimize... | tensorpack/tfutils/optimizer.py |
from contextlib import contextmanager
import tensorflow as tf
from ..tfutils.common import get_tf_version_tuple
from ..compat import tfv1
from ..utils.develop import HIDE_DOC
from .gradproc import FilterNoneGrad, GradientProcessor
__all__ = ['apply_grad_processors', 'ProxyOptimizer',
'PostProcessOptimize... | 0.864725 | 0.280598 |
def __format(msg, pos):
if len(msg) < 28:
offset = 0
else:
offset = len(msg) - 28
if pos - offset > 0: # at least 1 '-' before '$'
return '{0:<28}{1:->{2}}${1:->{3}} <-ERROR'.format(msg, '-', pos - offset, 71 - pos)
else: # start with '$'
retu... | zPE/base/pgm/assist_err_code_rc.py | def __format(msg, pos):
if len(msg) < 28:
offset = 0
else:
offset = len(msg) - 28
if pos - offset > 0: # at least 1 '-' before '$'
return '{0:<28}{1:->{2}}${1:->{3}} <-ERROR'.format(msg, '-', pos - offset, 71 - pos)
else: # start with '$'
retu... | 0.260954 | 0.201361 |
import joblib
from ad_model.processing import PREPROCESS
from sklearn.metrics import f1_score
from sklearn.ensemble import IsolationForest
from database import DATABASE, DUMMY
import numpy as np
class modelling(object):
r""" The modelling class takes input as dataframe or array and train Isolation Forest model
... | ad/ad_train.py |
import joblib
from ad_model.processing import PREPROCESS
from sklearn.metrics import f1_score
from sklearn.ensemble import IsolationForest
from database import DATABASE, DUMMY
import numpy as np
class modelling(object):
r""" The modelling class takes input as dataframe or array and train Isolation Forest model
... | 0.832509 | 0.495606 |
import os
import sys
sys.path.append(os.getcwd())
import torch
import comet.data.conceptnet as cdata
import comet.data.data as data
from comet.utils.utils import DD
from comet.utils import utils as utils
from comet.data.utils import TextEncoder
opt = DD()
opt.dataset = "conceptnet"
opt.exp = "generation"
opt.data ... | scripts/data/make_conceptnet_data_loader.py | import os
import sys
sys.path.append(os.getcwd())
import torch
import comet.data.conceptnet as cdata
import comet.data.data as data
from comet.utils.utils import DD
from comet.utils import utils as utils
from comet.data.utils import TextEncoder
opt = DD()
opt.dataset = "conceptnet"
opt.exp = "generation"
opt.data ... | 0.454956 | 0.199152 |
# based on:
# https://github.com/zhunzhong07/person-re-ranking
__all__ = ['re_ranking']
import numpy as np
def re_ranking(q_g_dist, q_q_dist, g_g_dist, k1: int = 20, k2: int = 6, lambda_value: float = 0.3):
original_dist = np.concatenate(
[np.concatenate([q_q_dist, q_g_dist], axis=1),
np.conca... | fastreid/evaluation/rerank.py |
# based on:
# https://github.com/zhunzhong07/person-re-ranking
__all__ = ['re_ranking']
import numpy as np
def re_ranking(q_g_dist, q_q_dist, g_g_dist, k1: int = 20, k2: int = 6, lambda_value: float = 0.3):
original_dist = np.concatenate(
[np.concatenate([q_q_dist, q_g_dist], axis=1),
np.conca... | 0.496338 | 0.449513 |
from __future__ import absolute_import
import json
import warnings
try:
import yaml
yaml_available = True
except ImportError:
yaml_available = False
from albumentations import __version__
__all__ = ["to_dict", "from_dict", "save", "load"]
SERIALIZABLE_REGISTRY = {}
class SerializableMeta(type):
... | albumentations/core/serialization.py | from __future__ import absolute_import
import json
import warnings
try:
import yaml
yaml_available = True
except ImportError:
yaml_available = False
from albumentations import __version__
__all__ = ["to_dict", "from_dict", "save", "load"]
SERIALIZABLE_REGISTRY = {}
class SerializableMeta(type):
... | 0.894784 | 0.289353 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from .. import _utilities, _tables
from . import outputs
__all__ = [
'GetConnectedClusterResult',
'AwaitableGetConnectedClusterResult',
'get_connected_cluster',
]
@pulumi.output_type
class GetCo... | sdk/python/pulumi_azure_native/kubernetes/get_connected_cluster.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from .. import _utilities, _tables
from . import outputs
__all__ = [
'GetConnectedClusterResult',
'AwaitableGetConnectedClusterResult',
'get_connected_cluster',
]
@pulumi.output_type
class GetCo... | 0.860604 | 0.095645 |
from keras.layers import Dense, LSTM
from keras.models import Sequential
from keras.optimizers import Adam
from keras.callbacks import ModelCheckpoint
from typing import List
import matplotlib.pyplot as plt
import shap
import numpy as np
import pandas as pd
import config
def create_model(learn_rate, activation, neuro... | lstm.py | from keras.layers import Dense, LSTM
from keras.models import Sequential
from keras.optimizers import Adam
from keras.callbacks import ModelCheckpoint
from typing import List
import matplotlib.pyplot as plt
import shap
import numpy as np
import pandas as pd
import config
def create_model(learn_rate, activation, neuro... | 0.914734 | 0.416441 |
from __future__ import division
from __future__ import print_function
import os
import sys
# dirty hack: include top level folder to path
sys.path.insert(0,
os.path.abspath(os.path.join(os.path.dirname(os.path.realpath(__file__)), '..'))
)
import itertools
from torch_geometric.data import Data
import ... | models/baselines.py | from __future__ import division
from __future__ import print_function
import os
import sys
# dirty hack: include top level folder to path
sys.path.insert(0,
os.path.abspath(os.path.join(os.path.dirname(os.path.realpath(__file__)), '..'))
)
import itertools
from torch_geometric.data import Data
import ... | 0.673514 | 0.235988 |
from __future__ import division
from collections import OrderedDict
from functools import partial
import empyrical as ep
import numpy as np
import pandas as pd
import scipy as sp
import scipy.stats as stats
from sklearn import linear_model
from .deprecate import deprecated
from .interesting_periods import PERIODS
fr... | pyfolio/timeseries.py | from __future__ import division
from collections import OrderedDict
from functools import partial
import empyrical as ep
import numpy as np
import pandas as pd
import scipy as sp
import scipy.stats as stats
from sklearn import linear_model
from .deprecate import deprecated
from .interesting_periods import PERIODS
fr... | 0.921988 | 0.536859 |
import datetime
def get_spreadsheet_element(key="test_key", title="title"):
d = datetime.datetime(2015, 7, 18)
data = (
'<ns0:entry xmlns:ns0="http://www.w3.org/2005/Atom">'
'<ns0:id>https://spreadsheets.google.com/feeds/spreadsheets/'
'private/full/{key}</ns0:id>'
'<ns0:updat... | test/api_content.py | import datetime
def get_spreadsheet_element(key="test_key", title="title"):
d = datetime.datetime(2015, 7, 18)
data = (
'<ns0:entry xmlns:ns0="http://www.w3.org/2005/Atom">'
'<ns0:id>https://spreadsheets.google.com/feeds/spreadsheets/'
'private/full/{key}</ns0:id>'
'<ns0:updat... | 0.461988 | 0.23535 |
import logging
from multiprocessing.pool import ThreadPool
import click
import dask
import pandas as pd
from dask.diagnostics import ProgressBar
from kartothek.cli._cleanup import cleanup
from kartothek.cli._copy import copy
from kartothek.cli._delete import delete
from kartothek.cli._index import index
from kartothe... | kartothek/cli/__init__.py | import logging
from multiprocessing.pool import ThreadPool
import click
import dask
import pandas as pd
from dask.diagnostics import ProgressBar
from kartothek.cli._cleanup import cleanup
from kartothek.cli._copy import copy
from kartothek.cli._delete import delete
from kartothek.cli._index import index
from kartothe... | 0.566978 | 0.138987 |
from shutil import rmtree
from tempfile import mkdtemp
from unittest import TestCase
from opwen_email_server.services.auth import AzureAuth
from opwen_email_server.services.auth import BasicAuth
from opwen_email_server.services.storage import AzureTextStorage
class BasicAuthTests(TestCase):
def setUp(self):
... | tests/opwen_email_server/services/test_auth.py | from shutil import rmtree
from tempfile import mkdtemp
from unittest import TestCase
from opwen_email_server.services.auth import AzureAuth
from opwen_email_server.services.auth import BasicAuth
from opwen_email_server.services.storage import AzureTextStorage
class BasicAuthTests(TestCase):
def setUp(self):
... | 0.421195 | 0.314366 |
import logging
from openpnm import topotools
from openpnm.network import DelaunayVoronoiDual
logger = logging.getLogger(__name__)
__all__ = ['Delaunay']
class Delaunay(DelaunayVoronoiDual):
r"""
Random network formed by Delaunay tessellation of arbitrary base points
Parameters
----------
points... | openpnm/network/_delaunay.py | import logging
from openpnm import topotools
from openpnm.network import DelaunayVoronoiDual
logger = logging.getLogger(__name__)
__all__ = ['Delaunay']
class Delaunay(DelaunayVoronoiDual):
r"""
Random network formed by Delaunay tessellation of arbitrary base points
Parameters
----------
points... | 0.919254 | 0.563138 |
from django.conf import settings
from django.core.exceptions import ValidationError
from django.utils.translation import gettext_lazy as _
from django.core.exceptions import FieldDoesNotExist
from moneyed import CURRENCIES
import common.models
import re
def validate_currency_code(code):
"""
Check that a gi... | InvenTree/InvenTree/validators.py | from django.conf import settings
from django.core.exceptions import ValidationError
from django.utils.translation import gettext_lazy as _
from django.core.exceptions import FieldDoesNotExist
from moneyed import CURRENCIES
import common.models
import re
def validate_currency_code(code):
"""
Check that a gi... | 0.625667 | 0.321833 |
import tvm
from tvm import tir
from tvm.ir import Range
from tvm.script import ty, from_source
from tvm.ir.diagnostics import override_renderer
@tvm.script.tir
def matmul(a: ty.handle, b: ty.handle, c: ty.handle) -> None:
A = tir.match_buffer(a, [128, 128])
B = tir.match_buffer(b, [128, 128])
C = tir.mat... | tests/python/unittest/test_tvmscript_complete.py |
import tvm
from tvm import tir
from tvm.ir import Range
from tvm.script import ty, from_source
from tvm.ir.diagnostics import override_renderer
@tvm.script.tir
def matmul(a: ty.handle, b: ty.handle, c: ty.handle) -> None:
A = tir.match_buffer(a, [128, 128])
B = tir.match_buffer(b, [128, 128])
C = tir.mat... | 0.564579 | 0.457197 |
from pprint import pformat
from six import iteritems
import re
class Layer(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
def __init__(self, directive=None, arguments=None):
"""
Layer - a model defined in S... | v1alpha1/swagger_client/models/layer.py | from pprint import pformat
from six import iteritems
import re
class Layer(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
def __init__(self, directive=None, arguments=None):
"""
Layer - a model defined in S... | 0.784236 | 0.299515 |
import re
class Container:
def __init__(self):
self.mappings = {}
self.registrations = {}
self.strategies = []
@staticmethod
def constructor_args(t):
return t.__init__.__code__.co_varnames[1:]
@staticmethod
def type_to_parameter_name(t):
return re.sub('[a-... | app/src/container.py | import re
class Container:
def __init__(self):
self.mappings = {}
self.registrations = {}
self.strategies = []
@staticmethod
def constructor_args(t):
return t.__init__.__code__.co_varnames[1:]
@staticmethod
def type_to_parameter_name(t):
return re.sub('[a-... | 0.622804 | 0.336345 |
from abc import abstractmethod, ABCMeta
import entrypoints
import warnings
from mlflow.exceptions import MlflowException
from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
from mlflow.utils.uri import get_uri_scheme
class UnsupportedModelRegistryStoreURIException(MlflowException):
"""Exception thro... | mlflow/tracking/registry.py | from abc import abstractmethod, ABCMeta
import entrypoints
import warnings
from mlflow.exceptions import MlflowException
from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
from mlflow.utils.uri import get_uri_scheme
class UnsupportedModelRegistryStoreURIException(MlflowException):
"""Exception thro... | 0.880771 | 0.216177 |
import re
import json
import ipaddress
class IfConfig(object):
""" ifconfig parser class """
def __init__(self, output):
"""
:param output: ifconfig text output
"""
self.interfaces = []
# loop over blocks
for block in output.split('\n\n'):
if block.... | src/PI/ifconfig.py |
import re
import json
import ipaddress
class IfConfig(object):
""" ifconfig parser class """
def __init__(self, output):
"""
:param output: ifconfig text output
"""
self.interfaces = []
# loop over blocks
for block in output.split('\n\n'):
if block.... | 0.430866 | 0.149687 |
class Student:
def __init__(self, student_id, fname, lname, enroll_date):
self.student_id = student_id
self.fname = fname
self.lname = lname
self.enroll_date = enroll_date
class Course:
def __init__(self, course_id, title, cred_hr):
self.course_id = course_id
... | Homework10Source (1).py | class Student:
def __init__(self, student_id, fname, lname, enroll_date):
self.student_id = student_id
self.fname = fname
self.lname = lname
self.enroll_date = enroll_date
class Course:
def __init__(self, course_id, title, cred_hr):
self.course_id = course_id
... | 0.278159 | 0.175256 |
import json
import os
import torch
class TimeDistributed(torch.nn.Module):
""" Time distributed wrapper compatible with linear/dense pytorch layer modules"""
def __init__(self, module, batch_first=True):
super(TimeDistributed, self).__init__()
self.module = module
self.batch_first = ... | traja/models/utils.py | import json
import os
import torch
class TimeDistributed(torch.nn.Module):
""" Time distributed wrapper compatible with linear/dense pytorch layer modules"""
def __init__(self, module, batch_first=True):
super(TimeDistributed, self).__init__()
self.module = module
self.batch_first = ... | 0.883538 | 0.407687 |
import csv, os, io, re
from flask import Flask, render_template,escape, request, Response
import pandas as pd
import numpy as np
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as pl... | app.py | import csv, os, io, re
from flask import Flask, render_template,escape, request, Response
import pandas as pd
import numpy as np
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as pl... | 0.217836 | 0.081886 |
import math
import re
import numpy as np
from pyfr.nputil import npeval, fuzzysort
from pyfr.util import lazyprop, memoize
class BaseElements(object):
privarmap = None
convarmap = None
def __init__(self, basiscls, eles, cfg):
self._be = None
self.eles = eles
self.cfg = cfg
... | pyfr/solvers/base/elements.py |
import math
import re
import numpy as np
from pyfr.nputil import npeval, fuzzysort
from pyfr.util import lazyprop, memoize
class BaseElements(object):
privarmap = None
convarmap = None
def __init__(self, basiscls, eles, cfg):
self._be = None
self.eles = eles
self.cfg = cfg
... | 0.747524 | 0.392919 |
from __future__ import unicode_literals
import re
from .common import InfoExtractor
from ..utils import (
int_or_none,
parse_iso8601,
)
class ABCOTVSIE(InfoExtractor):
IE_NAME = 'abcotvs'
IE_DESC = 'ABC Owned Television Stations'
_VALID_URL = r'https?://(?:abc(?:7(?:news|ny|chicago)?|11|13|30)|6... | youtube_dl/extractor/abcotvs.py | from __future__ import unicode_literals
import re
from .common import InfoExtractor
from ..utils import (
int_or_none,
parse_iso8601,
)
class ABCOTVSIE(InfoExtractor):
IE_NAME = 'abcotvs'
IE_DESC = 'ABC Owned Television Stations'
_VALID_URL = r'https?://(?:abc(?:7(?:news|ny|chicago)?|11|13|30)|6... | 0.548674 | 0.143487 |
from PyQt5 import QtCore, QtGui, QtWidgets
import pandas as pd
import numpy as np
def window_execute(self, DB, TB):
self.DB = DB
self.TB = TB
self.setObjectName("MainWindow")
self.resize(500, 300)
self.setMinimumSize(QtCore.QSize(500, 300))
self.setMaximumSize(QtCore.QSize(500, 300)... | NCW_win.py | from PyQt5 import QtCore, QtGui, QtWidgets
import pandas as pd
import numpy as np
def window_execute(self, DB, TB):
self.DB = DB
self.TB = TB
self.setObjectName("MainWindow")
self.resize(500, 300)
self.setMinimumSize(QtCore.QSize(500, 300))
self.setMaximumSize(QtCore.QSize(500, 300)... | 0.322206 | 0.060004 |
from oslo_utils import uuidutils
from nova import context
from nova import exception
from nova.objects import cell_mapping
from nova.objects import instance_mapping
from nova import test
from nova.tests import fixtures
from nova.tests import uuidsentinel
sample_mapping = {'instance_uuid': '',
'cel... | nova/tests/functional/db/test_instance_mapping.py |
from oslo_utils import uuidutils
from nova import context
from nova import exception
from nova.objects import cell_mapping
from nova.objects import instance_mapping
from nova import test
from nova.tests import fixtures
from nova.tests import uuidsentinel
sample_mapping = {'instance_uuid': '',
'cel... | 0.577376 | 0.155335 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import paddle.fluid as fluid
import distutils.util
import numpy as np
import six
import argparse
import functools
import collections
import datetime
from collections import deque
from paddle.fluid imp... | PaddleCV/rrpn/utility.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import paddle.fluid as fluid
import distutils.util
import numpy as np
import six
import argparse
import functools
import collections
import datetime
from collections import deque
from paddle.fluid imp... | 0.604049 | 0.146606 |
import datetime
import sqlalchemy
from keystone.common import driver_hints
from keystone.common import sql
from keystone.common import utils
import keystone.conf
from keystone import exception
from keystone.i18n import _
from keystone.identity.backends import base
from keystone.identity.backends import sql_model as ... | keystone/identity/backends/sql.py |
import datetime
import sqlalchemy
from keystone.common import driver_hints
from keystone.common import sql
from keystone.common import utils
import keystone.conf
from keystone import exception
from keystone.i18n import _
from keystone.identity.backends import base
from keystone.identity.backends import sql_model as ... | 0.536799 | 0.12749 |
import unittest
import os
from qubell.api.private.platform import QubellPlatform
from qubell.api.private.manifest import Manifest
from qubell.api.private.testing.setup_once import SetupOnce
from qubell.api.private.service import COBALT_SECURE_STORE_TYPE, WORKFLOW_SERVICE_TYPE, SHARED_INSTANCE_CATALOG_TYPE
from qubell... | integration_tests/base.py | import unittest
import os
from qubell.api.private.platform import QubellPlatform
from qubell.api.private.manifest import Manifest
from qubell.api.private.testing.setup_once import SetupOnce
from qubell.api.private.service import COBALT_SECURE_STORE_TYPE, WORKFLOW_SERVICE_TYPE, SHARED_INSTANCE_CATALOG_TYPE
from qubell... | 0.253676 | 0.105257 |
import json
from logging import ERROR
import os
from equit_ease.parser.parse import ChartParser
import unittest
def read_quote_fixture(fpath: str):
fixture_file_path = os.path.join(os.path.dirname(__file__), fpath)
with open(fixture_file_path, "r") as quote_fixture:
data = json.loads(quote_fixture.re... | tests/test_chart_parser.py | import json
from logging import ERROR
import os
from equit_ease.parser.parse import ChartParser
import unittest
def read_quote_fixture(fpath: str):
fixture_file_path = os.path.join(os.path.dirname(__file__), fpath)
with open(fixture_file_path, "r") as quote_fixture:
data = json.loads(quote_fixture.re... | 0.642657 | 0.441432 |
import json
from flask_restful import Resource
from bson.json_util import dumps
from flask import request
from mongoengine import DoesNotExist, ValidationError
from bson import ObjectId
from models.event import Event as Event_model
from models.user import User as User_model
from models.sport import Sport as Sport_model... | resources/events.py | import json
from flask_restful import Resource
from bson.json_util import dumps
from flask import request
from mongoengine import DoesNotExist, ValidationError
from bson import ObjectId
from models.event import Event as Event_model
from models.user import User as User_model
from models.sport import Sport as Sport_model... | 0.110747 | 0.062674 |
import math
import jittor as jt
import jittor.nn as nn
class WNLinear(nn.Module):
def __init__(self, in_features, out_features, bias=True):
super(WNLinear, self).__init__()
self.in_features = in_features
self.out_features = out_features
self.weight_v = nn.init.invariant_uniform((ou... | network.py | import math
import jittor as jt
import jittor.nn as nn
class WNLinear(nn.Module):
def __init__(self, in_features, out_features, bias=True):
super(WNLinear, self).__init__()
self.in_features = in_features
self.out_features = out_features
self.weight_v = nn.init.invariant_uniform((ou... | 0.901019 | 0.510435 |
import optparse
import dns.resolver
import console
import urllib3
from socket import *
from multiprocessing import Pool
import re
import time
def portsscan(host,port):
try:
connect = socket(AF_INET,SOCK_STREAM)
connect.settimeout(0.3)
connect.connect((host,port))
banner = get... | lib/utils/portscan.py |
import optparse
import dns.resolver
import console
import urllib3
from socket import *
from multiprocessing import Pool
import re
import time
def portsscan(host,port):
try:
connect = socket(AF_INET,SOCK_STREAM)
connect.settimeout(0.3)
connect.connect((host,port))
banner = get... | 0.182644 | 0.097648 |
"""Infer api."""
import time
import numpy as np
import mindspore.nn as nn
import mindspore.common.dtype as mstype
from mindspore.common.tensor import Tensor
from mindspore.ops import operations as P
from mindspore import context, Parameter
from mindspore.train.model import Model
from src.dataset import load_dataset
... | research/nlp/seq2seq/src/seq2seq_model/seq2seq_for_infer.py | """Infer api."""
import time
import numpy as np
import mindspore.nn as nn
import mindspore.common.dtype as mstype
from mindspore.common.tensor import Tensor
from mindspore.ops import operations as P
from mindspore import context, Parameter
from mindspore.train.model import Model
from src.dataset import load_dataset
... | 0.912126 | 0.514705 |
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import DataMigration
from django.conf import settings
from django.db import models
class Migration(DataMigration):
def forwards(self, orm):
for currency in orm.Currency.objects.all():
orm['currency_history... | account_keeping/south_migrations/0005_move_rates_to_history_app.py | from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import DataMigration
from django.conf import settings
from django.db import models
class Migration(DataMigration):
def forwards(self, orm):
for currency in orm.Currency.objects.all():
orm['currency_history... | 0.555315 | 0.145419 |
"""Utlity to convert FunctionDef to GraphDef and Graph."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.core.framework import function_pb2
from tensorflow.core.framework import graph_pb2
from tensorflow.core.framework import tensor_shape_... | tensorflow/python/framework/function_def_to_graph.py | """Utlity to convert FunctionDef to GraphDef and Graph."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.core.framework import function_pb2
from tensorflow.core.framework import graph_pb2
from tensorflow.core.framework import tensor_shape_... | 0.931843 | 0.429788 |
import os
import time
from subprocess import PIPE, CalledProcessError
import yaml
from conjureup.utils import run
from .writer import fail, log, success
JUJU_CONTROLLER = os.environ['JUJU_CONTROLLER']
JUJU_MODEL = os.environ['JUJU_MODEL']
JUJU_CM_STR = "{}:{}".format(JUJU_CONTROLLER, JUJU_MODEL)
def status():
... | conjureup/hooklib/juju.py | import os
import time
from subprocess import PIPE, CalledProcessError
import yaml
from conjureup.utils import run
from .writer import fail, log, success
JUJU_CONTROLLER = os.environ['JUJU_CONTROLLER']
JUJU_MODEL = os.environ['JUJU_MODEL']
JUJU_CM_STR = "{}:{}".format(JUJU_CONTROLLER, JUJU_MODEL)
def status():
... | 0.338296 | 0.157525 |
from django.shortcuts import redirect, render
from django.http import HttpResponse
from .models import *
import numpy as np
import pickle as p
#-------------------------------Home---------------------------------
def Index(request):
recent_recommend = crop_recommed.objects.filter().order_by('-cr_id')[:4]
... | CropRecommendation/CropRecommendationApp/views.py | from django.shortcuts import redirect, render
from django.http import HttpResponse
from .models import *
import numpy as np
import pickle as p
#-------------------------------Home---------------------------------
def Index(request):
recent_recommend = crop_recommed.objects.filter().order_by('-cr_id')[:4]
... | 0.435661 | 0.132599 |
import datetime
from ..core.processor import (
processor,
process_node,
InstanceAttributeFactory,
Storage,
)
from ..core.utils import get_xml_root
from .fritzbase import AbstractLibraryBase
__all__ = ['FritzCall', 'Call']
ALL_CALL_TYPES = 0
RECEIVED_CALL_TYPE = 1
MISSED_CALL_TYPE = 2
OUT_CALL_TYP... | fritzconnection/lib/fritzcall.py |
import datetime
from ..core.processor import (
processor,
process_node,
InstanceAttributeFactory,
Storage,
)
from ..core.utils import get_xml_root
from .fritzbase import AbstractLibraryBase
__all__ = ['FritzCall', 'Call']
ALL_CALL_TYPES = 0
RECEIVED_CALL_TYPE = 1
MISSED_CALL_TYPE = 2
OUT_CALL_TYP... | 0.700997 | 0.206834 |
from enum import IntEnum
import numpy as np
from numba import int64, float64, njit, objmode
from numba.experimental import jitclass
from tardis.montecarlo.montecarlo_numba import (
njit_dict_no_parallel,
)
from tardis.montecarlo.montecarlo_numba.frame_transformations import (
get_doppler_factor,
)
from tardis... | tardis/montecarlo/montecarlo_numba/r_packet.py | from enum import IntEnum
import numpy as np
from numba import int64, float64, njit, objmode
from numba.experimental import jitclass
from tardis.montecarlo.montecarlo_numba import (
njit_dict_no_parallel,
)
from tardis.montecarlo.montecarlo_numba.frame_transformations import (
get_doppler_factor,
)
from tardis... | 0.609524 | 0.227995 |
import hmac
import hashlib
import base64
import time
from Crypto.Cipher import AES
import json
#C:/Users/User/Anaconda3_7/python.exe macaroons_benchmark_37.py
"""This is a library file for creating macaroons. The functions defined are only those
necessary to duplicate the results in Table 2 of Birgisson et al.'s "Maca... | Ali/macaroons_temp/macaroons_lib2_37.py | import hmac
import hashlib
import base64
import time
from Crypto.Cipher import AES
import json
#C:/Users/User/Anaconda3_7/python.exe macaroons_benchmark_37.py
"""This is a library file for creating macaroons. The functions defined are only those
necessary to duplicate the results in Table 2 of Birgisson et al.'s "Maca... | 0.510985 | 0.313157 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
__all__ = ['UserArgs', 'User']
@pulumi.input_type
class UserArgs:
def __init__(__self__, *,
user_name: pulumi.Input[str],
active: Opt... | sdk/python/pulumi_databricks/user.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
__all__ = ['UserArgs', 'User']
@pulumi.input_type
class UserArgs:
def __init__(__self__, *,
user_name: pulumi.Input[str],
active: Opt... | 0.825414 | 0.119588 |
import pandas as pd
import json
import requests
from pathlib import Path
from pr_reporter.models.pr_models import PrInfo
from jinja2 import Template
from tabulate import tabulate
import yagmail
import logging
import os
logger = logging.getLogger(__name__)
class PR(object):
API_ENDPOINT = "https://api.github.com/rep... | pr_reporter/pr.py | import pandas as pd
import json
import requests
from pathlib import Path
from pr_reporter.models.pr_models import PrInfo
from jinja2 import Template
from tabulate import tabulate
import yagmail
import logging
import os
logger = logging.getLogger(__name__)
class PR(object):
API_ENDPOINT = "https://api.github.com/rep... | 0.250271 | 0.075721 |
import sys
import os
import numpy as np
import matplotlib.pyplot as plt
import pickle
import glob
from obspy import UTCDateTime, read, Trace, Stream
from scipy import signal
import pandas as pd
from haversine import haversine
sta_data = pd.read_excel("/sdd1/sta_list.xlsx", sheet_name="Data")
sta_num = len(sta_data['l... | generate_data/24h_Data_2018.py |
import sys
import os
import numpy as np
import matplotlib.pyplot as plt
import pickle
import glob
from obspy import UTCDateTime, read, Trace, Stream
from scipy import signal
import pandas as pd
from haversine import haversine
sta_data = pd.read_excel("/sdd1/sta_list.xlsx", sheet_name="Data")
sta_num = len(sta_data['l... | 0.201853 | 0.253234 |
# pylint: disable=wrong-import-order
from test.common import payload, pub_keys, priv_keys, algs, generated_keys, \
clock_tick, clock_load
from test import python_jwt as jwt
from datetime import timedelta, datetime
from pyvows import Vows, expect
from jwcrypto.common import base64url_decode
impor... | test/jwt_spec.py | # pylint: disable=wrong-import-order
from test.common import payload, pub_keys, priv_keys, algs, generated_keys, \
clock_tick, clock_load
from test import python_jwt as jwt
from datetime import timedelta, datetime
from pyvows import Vows, expect
from jwcrypto.common import base64url_decode
impor... | 0.538741 | 0.258303 |
# stdlib imports
import os.path
import matplotlib
import tempfile
import shutil
# third party imports
from gmprocess.io.read import read_data
from gmprocess.utils.plot import (plot_arias, plot_durations,
plot_moveout, plot_regression)
import pandas as pd
from gmprocess.utils.test_uti... | tests/gmprocess/utils/plot_test.py |
# stdlib imports
import os.path
import matplotlib
import tempfile
import shutil
# third party imports
from gmprocess.io.read import read_data
from gmprocess.utils.plot import (plot_arias, plot_durations,
plot_moveout, plot_regression)
import pandas as pd
from gmprocess.utils.test_uti... | 0.482185 | 0.441131 |
from algs4.binarystdin import BinaryStdin
from algs4.binarystdout import BinaryStdout
from algs4.min_pq import MinPQ
class Node:
def __init__(self, ch, freq, left, right):
self.ch = ch
self.freq = freq
self.left = left
self.right = right
def __str__(self):
return "%s %... | algs4/huffman.py | from algs4.binarystdin import BinaryStdin
from algs4.binarystdout import BinaryStdout
from algs4.min_pq import MinPQ
class Node:
def __init__(self, ch, freq, left, right):
self.ch = ch
self.freq = freq
self.left = left
self.right = right
def __str__(self):
return "%s %... | 0.439507 | 0.301195 |
import time
from scipy import fftpack
import book_format
book_format.set_style()
import kf_book.kf_internal as kf_internal
from kf_book.kf_internal import DogSimulation
from kf_book import book_plots as book_plots
import numpy as np
from matplotlib import pyplot
import scipy.io
import pandas as pd
import pandas_datarea... | code/id26.py | import time
from scipy import fftpack
import book_format
book_format.set_style()
import kf_book.kf_internal as kf_internal
from kf_book.kf_internal import DogSimulation
from kf_book import book_plots as book_plots
import numpy as np
from matplotlib import pyplot
import scipy.io
import pandas as pd
import pandas_datarea... | 0.161353 | 0.386069 |
import numpy as np
from ...reactions import GenericReactionFactory
from ..topology_graph import Edge, NullOptimizer
from .cof import Cof
from .vertices import LinearVertex, NonLinearVertex
class PeriodicHexagonal(Cof):
"""
Represents a periodic hexagonal COF topology graph.
Unoptimzed construction
... | src/stk/molecular/topology_graphs/cof/periodic_hexagonal.py | import numpy as np
from ...reactions import GenericReactionFactory
from ..topology_graph import Edge, NullOptimizer
from .cof import Cof
from .vertices import LinearVertex, NonLinearVertex
class PeriodicHexagonal(Cof):
"""
Represents a periodic hexagonal COF topology graph.
Unoptimzed construction
... | 0.885415 | 0.490785 |
import json
import logging
from datetime import datetime
from typing import Any, Dict, List, Optional, Union
from sqlalchemy.exc import SQLAlchemyError
from superset import security_manager
from superset.dao.base import BaseDAO
from superset.dashboards.commands.exceptions import DashboardNotFoundError
from superset.d... | superset/dashboards/dao.py | import json
import logging
from datetime import datetime
from typing import Any, Dict, List, Optional, Union
from sqlalchemy.exc import SQLAlchemyError
from superset import security_manager
from superset.dao.base import BaseDAO
from superset.dashboards.commands.exceptions import DashboardNotFoundError
from superset.d... | 0.820541 | 0.23316 |
from ..models import Catalog, Question, QuestionSet, Section
def test_catalog_str(db):
instances = Catalog.objects.all()
for instance in instances:
assert str(instance)
def test_catalog_clean(db):
instances = Catalog.objects.all()
for instance in instances:
instance.clean()
def tes... | rdmo/questions/tests/test_models.py | from ..models import Catalog, Question, QuestionSet, Section
def test_catalog_str(db):
instances = Catalog.objects.all()
for instance in instances:
assert str(instance)
def test_catalog_clean(db):
instances = Catalog.objects.all()
for instance in instances:
instance.clean()
def tes... | 0.564819 | 0.441191 |
from . import _tm_main
def error_handler(error_code):
if error_code in _tm_main.error_codes():
return _tm_main.error_echo(error_code)
else:
return 'Unknown Error. ERROR_CODE: %s' %error_code
def assert_inputs(db_type,ref_path,target_path,output_path):
error = False
error = _tm_main.che... | taxamatcher/tm_handler.py | from . import _tm_main
def error_handler(error_code):
if error_code in _tm_main.error_codes():
return _tm_main.error_echo(error_code)
else:
return 'Unknown Error. ERROR_CODE: %s' %error_code
def assert_inputs(db_type,ref_path,target_path,output_path):
error = False
error = _tm_main.che... | 0.262653 | 0.102979 |
import json
from navigation_analytics.navigation_data import *
import os
from datetime import datetime
import pandas as pd
import pickle
import pytest
def parse_dtypes(dtypes_dict: dict):
result = dict()
for col, col_type in dtypes_dict.items():
result[col] = eval(col_type)
return result
def loa... | tests/unit/test_navigation_data.py | import json
from navigation_analytics.navigation_data import *
import os
from datetime import datetime
import pandas as pd
import pickle
import pytest
def parse_dtypes(dtypes_dict: dict):
result = dict()
for col, col_type in dtypes_dict.items():
result[col] = eval(col_type)
return result
def loa... | 0.416678 | 0.271445 |
from __future__ import absolute_import, print_function, division
__authors__ = ["<NAME>", "<NAME>"]
__license__ = "MIT"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
__date__ = "03/02/2019"
__status__ = "production"
__docformat__ = 'restructuredtext'
__all__ = ["date", "version_info", "str... | version.py | from __future__ import absolute_import, print_function, division
__authors__ = ["<NAME>", "<NAME>"]
__license__ = "MIT"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
__date__ = "03/02/2019"
__status__ = "production"
__docformat__ = 'restructuredtext'
__all__ = ["date", "version_info", "str... | 0.521471 | 0.098425 |
from verto.processors.GenericContainerBlockProcessor import GenericContainerBlockProcessor
from verto.errors.InteractiveTextContainsInteractiveError import InteractiveTextContainsInteractiveError
from verto.errors.InteractiveMissingTextError import InteractiveMissingTextError
import re
DEFAULT_THUMBNAIL = 'default'
C... | verto/processors/InteractiveContainerBlockProcessor.py | from verto.processors.GenericContainerBlockProcessor import GenericContainerBlockProcessor
from verto.errors.InteractiveTextContainsInteractiveError import InteractiveTextContainsInteractiveError
from verto.errors.InteractiveMissingTextError import InteractiveMissingTextError
import re
DEFAULT_THUMBNAIL = 'default'
C... | 0.765243 | 0.226944 |
import logging
from drf_yasg.utils import swagger_auto_schema
from rest_framework import status
from rest_framework.generics import CreateAPIView, DestroyAPIView
from rest_framework.response import Response
from safe_transaction_service.history.models import SafeContract
from . import serializers
from .models import... | safe_transaction_service/notifications/views.py | import logging
from drf_yasg.utils import swagger_auto_schema
from rest_framework import status
from rest_framework.generics import CreateAPIView, DestroyAPIView
from rest_framework.response import Response
from safe_transaction_service.history.models import SafeContract
from . import serializers
from .models import... | 0.769037 | 0.112065 |
import os, sys
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider, RadioButtons
import matplotlib.ticker
import xspec
# https://stackoverflow.com/questions/39960791/logarithmic-slider-with-matplotlib
class Sliderlog(Slider):
"""Logarithmic slider.
Takes in every metho... | main.py | import os, sys
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider, RadioButtons
import matplotlib.ticker
import xspec
# https://stackoverflow.com/questions/39960791/logarithmic-slider-with-matplotlib
class Sliderlog(Slider):
"""Logarithmic slider.
Takes in every metho... | 0.409575 | 0.539165 |
import os
import requests
from requests.utils import requote_uri
from pyrogram import Client, filters
from pyrogram.types import InlineKeyboardMarkup, InlineKeyboardButton
API = "https://api.abirhasan.wtf/pypi?query="
START_TEXT = """
Hello {},
I am a pypi package search telegram bot.
- Send a pypi package name.
-... | main.py |
import os
import requests
from requests.utils import requote_uri
from pyrogram import Client, filters
from pyrogram.types import InlineKeyboardMarkup, InlineKeyboardButton
API = "https://api.abirhasan.wtf/pypi?query="
START_TEXT = """
Hello {},
I am a pypi package search telegram bot.
- Send a pypi package name.
-... | 0.402627 | 0.126299 |
import re
import csv
import time
from random import choice
from nltk.data import load
from collections import defaultdict
TWEET_FILE = 'data/tweets.csv'
START_TOKEN = '<START>'
END_TOKEN = '<END>'
def sanitize_tweet_word(word):
# Remove leading and trailing apostrophes
word = word[1:] if (word[0] is '\'') else wo... | twitter/code/propaganda_generator.py | import re
import csv
import time
from random import choice
from nltk.data import load
from collections import defaultdict
TWEET_FILE = 'data/tweets.csv'
START_TOKEN = '<START>'
END_TOKEN = '<END>'
def sanitize_tweet_word(word):
# Remove leading and trailing apostrophes
word = word[1:] if (word[0] is '\'') else wo... | 0.407216 | 0.248375 |
from typing import Tuple, Union
import numpy as np
import torch
from monai.transforms.croppad.array import SpatialCrop
from monai.transforms.utils import generate_spatial_bounding_box
from monai.utils import MetricReduction, optional_import
binary_erosion, _ = optional_import("scipy.ndimage.morphology", name="binar... | monai/metrics/utils.py |
from typing import Tuple, Union
import numpy as np
import torch
from monai.transforms.croppad.array import SpatialCrop
from monai.transforms.utils import generate_spatial_bounding_box
from monai.utils import MetricReduction, optional_import
binary_erosion, _ = optional_import("scipy.ndimage.morphology", name="binar... | 0.975184 | 0.609611 |