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 numpy as np
import matplotlib.pyplot as plt
from six.moves import cPickle
# Y' = 0.2989 R + 0.5870 G + 0.1140 B
def rgb2gray(rgb):
return np.dot(rgb[...,:3], [0.2989, 0.5870, 0.1140])
def readData():
image_data = np.array([])
image_labels = np.array([])
fileindex = 1
while(fileindex<6):
... | Supervised Learning/SMAI HWS/10/3-2.py | import numpy as np
import matplotlib.pyplot as plt
from six.moves import cPickle
# Y' = 0.2989 R + 0.5870 G + 0.1140 B
def rgb2gray(rgb):
return np.dot(rgb[...,:3], [0.2989, 0.5870, 0.1140])
def readData():
image_data = np.array([])
image_labels = np.array([])
fileindex = 1
while(fileindex<6):
... | 0.233269 | 0.481454 |
from ingenico.connect.sdk.data_object import DataObject
class OrderLineDetails(DataObject):
__discount_amount = None
__google_product_category_id = None
__line_amount_total = None
__product_category = None
__product_code = None
__product_name = None
__product_price = None
__product_ty... | ingenico/connect/sdk/domain/payment/definitions/order_line_details.py | from ingenico.connect.sdk.data_object import DataObject
class OrderLineDetails(DataObject):
__discount_amount = None
__google_product_category_id = None
__line_amount_total = None
__product_category = None
__product_code = None
__product_name = None
__product_price = None
__product_ty... | 0.76856 | 0.277528 |
try:
from botocore.config import Config
except ImportError:
from c7n.config import Bag as Config # pragma: no cover
from .core import EventAction
from c7n import utils
from c7n.manager import resources
from c7n.version import version as VERSION
class LambdaInvoke(EventAction):
"""Invoke an arbitrary la... | c7n/actions/invoke.py |
try:
from botocore.config import Config
except ImportError:
from c7n.config import Bag as Config # pragma: no cover
from .core import EventAction
from c7n import utils
from c7n.manager import resources
from c7n.version import version as VERSION
class LambdaInvoke(EventAction):
"""Invoke an arbitrary la... | 0.61173 | 0.16654 |
import os
from zstacklib.utils import jsonobject
from zstacklib.utils import log
from zstacklib.utils import shell
from zstacklib.utils.bash import bash_r
logger = log.get_logger(__name__)
class AgentResponse(object):
def __init__(self, success=True, error=None):
self.success = success
self.error... | baremetalpxeserver/baremetalpxeserver/imagestore.py | import os
from zstacklib.utils import jsonobject
from zstacklib.utils import log
from zstacklib.utils import shell
from zstacklib.utils.bash import bash_r
logger = log.get_logger(__name__)
class AgentResponse(object):
def __init__(self, success=True, error=None):
self.success = success
self.error... | 0.277375 | 0.059976 |
import functools
from typing import Callable, Optional
import numpy as np
import scipy.integrate
import scipy.linalg
from probnum import randvars
from probnum.type import FloatArgType, IntArgType
from . import discrete_transition, transition
from .sde_utils import matrix_fraction_decomposition
class SDE(transition... | src/probnum/statespace/sde.py | import functools
from typing import Callable, Optional
import numpy as np
import scipy.integrate
import scipy.linalg
from probnum import randvars
from probnum.type import FloatArgType, IntArgType
from . import discrete_transition, transition
from .sde_utils import matrix_fraction_decomposition
class SDE(transition... | 0.899718 | 0.464598 |
import argparse
import io
import os
from typing import Iterable
from typing import Optional
from typing import Tuple
import apache_beam as beam
import torch
from apache_beam.io.filesystems import FileSystems
from apache_beam.ml.inference.base import KeyedModelHandler
from apache_beam.ml.inference.base import Predictio... | sdks/python/apache_beam/examples/inference/pytorch_image_classification.py | import argparse
import io
import os
from typing import Iterable
from typing import Optional
from typing import Tuple
import apache_beam as beam
import torch
from apache_beam.io.filesystems import FileSystems
from apache_beam.ml.inference.base import KeyedModelHandler
from apache_beam.ml.inference.base import Predictio... | 0.846435 | 0.354964 |
import pygame
from settings import settings
from map import Pipes, Background, Base
from bird import Bird
import random
import time
# Initalisation du module Pygame
pygame.init()
# INITIALISATION
# Active ou non les collisions avec les tuyau (=débug)
collision = True
gravitiy = True
# La boucle de jeu p... | main.py | import pygame
from settings import settings
from map import Pipes, Background, Base
from bird import Bird
import random
import time
# Initalisation du module Pygame
pygame.init()
# INITIALISATION
# Active ou non les collisions avec les tuyau (=débug)
collision = True
gravitiy = True
# La boucle de jeu p... | 0.217919 | 0.277314 |
import pytest
from catkit.catkit_types import FlipMountPosition
def test_import():
import catkit.hardware.thorlabs.ThorlabsMFF101
def test_delayed_import():
import catkit.hardware.thorlabs.ThorlabsMFF101
with pytest.raises(ImportError):
catkit.hardware.thorlabs.ThorlabsMFF101.ThorlabsMFF101()
... | catkit/emulators/tests/test_MFF101.py | import pytest
from catkit.catkit_types import FlipMountPosition
def test_import():
import catkit.hardware.thorlabs.ThorlabsMFF101
def test_delayed_import():
import catkit.hardware.thorlabs.ThorlabsMFF101
with pytest.raises(ImportError):
catkit.hardware.thorlabs.ThorlabsMFF101.ThorlabsMFF101()
... | 0.498291 | 0.562237 |
import sys
from shapely.wkt import loads
from shapely import geometry
class Node():
def __init__(self,kwargs,row):
keys=kwargs.keys()
node_id=kwargs['node_id'] if 'node_id' in keys else ''
if node_id:
try:
self.node_id=int(float(node_id))
except Excep... | plot4gmns/classes.py | import sys
from shapely.wkt import loads
from shapely import geometry
class Node():
def __init__(self,kwargs,row):
keys=kwargs.keys()
node_id=kwargs['node_id'] if 'node_id' in keys else ''
if node_id:
try:
self.node_id=int(float(node_id))
except Excep... | 0.087621 | 0.118207 |
import os
import inspect
import flask
from werkzeug.utils import import_string
from gru.plugins.base import BasePlugin
from gru.plugins.base.page import PagePlugin
from gru.plugins.base.hostwidget import HostWidgetPlugin
from gru.plugins.base.auth import AuthenticationBackend
from gru.plugins.base.inventory import In... | gru/plugins/loader/registry.py | import os
import inspect
import flask
from werkzeug.utils import import_string
from gru.plugins.base import BasePlugin
from gru.plugins.base.page import PagePlugin
from gru.plugins.base.hostwidget import HostWidgetPlugin
from gru.plugins.base.auth import AuthenticationBackend
from gru.plugins.base.inventory import In... | 0.541409 | 0.069985 |
import json
import shutil
from argparse import ArgumentParser, Namespace
from pathlib import Path
from random import random
from typing import Dict, Tuple, List
from bidict import bidict
from tqdm import tqdm
TColor = Tuple[float, ...]
def rand_color() -> TColor:
return tuple([int(255 * random()) for _ in range... | detection/coco_subset.py | import json
import shutil
from argparse import ArgumentParser, Namespace
from pathlib import Path
from random import random
from typing import Dict, Tuple, List
from bidict import bidict
from tqdm import tqdm
TColor = Tuple[float, ...]
def rand_color() -> TColor:
return tuple([int(255 * random()) for _ in range... | 0.577853 | 0.206654 |
import stat
import ast
import os
import configparser
from .constants import *
from .exceptions import OAuthSSHError
class ConfigError(OAuthSSHError):
"""Base exception for all Config exceptions"""
def _check_permissions(path):
if os.path.exists(path):
if not os.path.isfile(path):
raise ... | client/oauth_ssh/config.py | import stat
import ast
import os
import configparser
from .constants import *
from .exceptions import OAuthSSHError
class ConfigError(OAuthSSHError):
"""Base exception for all Config exceptions"""
def _check_permissions(path):
if os.path.exists(path):
if not os.path.isfile(path):
raise ... | 0.252476 | 0.075346 |
from logan.runner import run_app
from sentry import environment
import base64
import os
import pkg_resources
KEY_LENGTH = 40
CONFIG_TEMPLATE = """
import os.path
CONF_ROOT = os.path.dirname(__file__)
DATABASES = {
'default': {
# You can swap out the engine for MySQL easily by changing this value
... | src/sentry/utils/runner.py | from logan.runner import run_app
from sentry import environment
import base64
import os
import pkg_resources
KEY_LENGTH = 40
CONFIG_TEMPLATE = """
import os.path
CONF_ROOT = os.path.dirname(__file__)
DATABASES = {
'default': {
# You can swap out the engine for MySQL easily by changing this value
... | 0.37605 | 0.044953 |
import bpy
from bpy import context
import numpy as np
from bpy_extras.object_utils import world_to_camera_view
from collections import defaultdict
import bmesh
import json
Body = ["DEF-nose",
"DEF-neck",
"DEF-deltoid.R",
"DEF-elbow_fan.R",
"DEF-palm_index.R",
"DEF-deltoid.L",
... | skatingAI/blender/program_scripts/kp_from_avatar.py | import bpy
from bpy import context
import numpy as np
from bpy_extras.object_utils import world_to_camera_view
from collections import defaultdict
import bmesh
import json
Body = ["DEF-nose",
"DEF-neck",
"DEF-deltoid.R",
"DEF-elbow_fan.R",
"DEF-palm_index.R",
"DEF-deltoid.L",
... | 0.413714 | 0.238916 |
from __future__ import unicode_literals
from functools import partial
from lunr.pipeline import Pipeline
# map from ISO-639-1 codes to SnowballStemmer.languages
SUPPORTED_LANGUAGES = {
'ar': 'arabic',
'da': 'danish',
'nl': 'dutch',
'en': 'english',
'fi': 'finnish',
'fr': 'french',
'de': '... | venv/Lib/site-packages/lunr/stemmer_languages.py | from __future__ import unicode_literals
from functools import partial
from lunr.pipeline import Pipeline
# map from ISO-639-1 codes to SnowballStemmer.languages
SUPPORTED_LANGUAGES = {
'ar': 'arabic',
'da': 'danish',
'nl': 'dutch',
'en': 'english',
'fi': 'finnish',
'fr': 'french',
'de': '... | 0.65368 | 0.148325 |
__author__ = '<EMAIL>'
import datetime
import logging
import pytz
from django import test
from services.common import serialization, helpers as db_tools
class TestSerialization(test.TestCase):
def setUp(self):
self.__verbose_testing = False
if not self.__verbose_testing:
logging.... | services/common/tests/test_serialization.py | __author__ = '<EMAIL>'
import datetime
import logging
import pytz
from django import test
from services.common import serialization, helpers as db_tools
class TestSerialization(test.TestCase):
def setUp(self):
self.__verbose_testing = False
if not self.__verbose_testing:
logging.... | 0.655557 | 0.263872 |
import jax.numpy as jnp
from jax.random import normal, split
from jax import lax, tree_map, vmap, value_and_grad
import optax
from vb_utils import clip
def compute_natural_gradients(b, c, grads):
'''
Computes natural gradients which is equivalent to (I^-1 x grad).
Parameters
----------
b : Arra... | scripts/vb_gauss_lowrank.py | import jax.numpy as jnp
from jax.random import normal, split
from jax import lax, tree_map, vmap, value_and_grad
import optax
from vb_utils import clip
def compute_natural_gradients(b, c, grads):
'''
Computes natural gradients which is equivalent to (I^-1 x grad).
Parameters
----------
b : Arra... | 0.860662 | 0.774839 |
from django.urls import path, re_path
from marks import views
urlpatterns = [
# Main marks pages
re_path(r'^(?P<type>unsafe|safe|unknown)/(?P<pk>[0-9]+)/$', views.MarkPage.as_view(), name='mark'),
re_path(r'^(?P<type>unsafe|safe|unknown)/association_changes/(?P<association_id>.*)/$',
views.As... | bridge/marks/urls.py |
from django.urls import path, re_path
from marks import views
urlpatterns = [
# Main marks pages
re_path(r'^(?P<type>unsafe|safe|unknown)/(?P<pk>[0-9]+)/$', views.MarkPage.as_view(), name='mark'),
re_path(r'^(?P<type>unsafe|safe|unknown)/association_changes/(?P<association_id>.*)/$',
views.As... | 0.397588 | 0.146942 |
import json
from datetime import timedelta, datetime
from airflow import DAG
from airflow.models import Variable
from airflow.contrib.operators.bigquery_operator import BigQueryOperator
from airflow.contrib.operators.bigquery_check_operator import BigQueryCheckOperator
# Config variables
dag_config = Variable.get("b... | examples/gcloud-example/dags/bigquery_github/bigquery_github_trends.py | import json
from datetime import timedelta, datetime
from airflow import DAG
from airflow.models import Variable
from airflow.contrib.operators.bigquery_operator import BigQueryOperator
from airflow.contrib.operators.bigquery_check_operator import BigQueryCheckOperator
# Config variables
dag_config = Variable.get("b... | 0.428233 | 0.223356 |
import hashlib
from typing import Any, Optional, Union, List
from .. import rdltypes
from .. import node
def normalize(value: Any, owner_node: Optional[node.Node]=None) -> str:
"""
Flatten an RDL value into a unique string that is used for type
normalization.
"""
# Determine what type is being fla... | systemrdl/core/value_normalization.py | import hashlib
from typing import Any, Optional, Union, List
from .. import rdltypes
from .. import node
def normalize(value: Any, owner_node: Optional[node.Node]=None) -> str:
"""
Flatten an RDL value into a unique string that is used for type
normalization.
"""
# Determine what type is being fla... | 0.859074 | 0.428293 |
class ResultParser(object):
MARK_SEGMENTS = True
def __init__(self, doc):
self.doc = doc
self.parsed = False
def parse_content(self):
"""
:return:
"""
for page in self.doc:
# sort clusters
bbox = self.doc[page]["bounding_box"]
... | structure_recognition/ResultParser.py | class ResultParser(object):
MARK_SEGMENTS = True
def __init__(self, doc):
self.doc = doc
self.parsed = False
def parse_content(self):
"""
:return:
"""
for page in self.doc:
# sort clusters
bbox = self.doc[page]["bounding_box"]
... | 0.427636 | 0.248024 |
from __future__ import print_function
import sys
import os
import errno
from fontTools.ttLib import TTFont
from compressor import Compressor
from cff_lib import CharSet, decompileDict, DictINDEX, FDSelect, INDEX
from StringIO import StringIO
import argparse
from rle_font import RleFont
from cleanup import cleanup
from ... | build_time/src/dump_base_parts.py | from __future__ import print_function
import sys
import os
import errno
from fontTools.ttLib import TTFont
from compressor import Compressor
from cff_lib import CharSet, decompileDict, DictINDEX, FDSelect, INDEX
from StringIO import StringIO
import argparse
from rle_font import RleFont
from cleanup import cleanup
from ... | 0.138958 | 0.089494 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
("interactions", "0015_auto_20210312_0507"),
]
operations = [
... | api/interactions/migrations/0016_excludefromnotifcation.py |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
("interactions", "0015_auto_20210312_0507"),
]
operations = [
... | 0.481698 | 0.128143 |
import matplotlib.pyplot as plt
import numpy as np
from ..util.constants import *
"""
MPL 2.0 License
Copyright (c) 2022, <NAME>
All rights reserved.
"""
def plot_intensity(self, I, square_root = False, figsize=(7, 6),
xlim=None, ylim=None, grid = False, text = None, units = mm,
... | diffractsim/visualization/plot_intensity.py | import matplotlib.pyplot as plt
import numpy as np
from ..util.constants import *
"""
MPL 2.0 License
Copyright (c) 2022, <NAME>
All rights reserved.
"""
def plot_intensity(self, I, square_root = False, figsize=(7, 6),
xlim=None, ylim=None, grid = False, text = None, units = mm,
... | 0.444565 | 0.740022 |
import proto # type: ignore
from google.cloud.aiplatform_v1beta1.types import machine_resources
from google.protobuf import timestamp_pb2 # type: ignore
__protobuf__ = proto.module(
package="google.cloud.aiplatform.v1beta1",
manifest={
"IndexEndpoint",
"DeployedIndex",
"DeployedInde... | google/cloud/aiplatform_v1beta1/types/index_endpoint.py | import proto # type: ignore
from google.cloud.aiplatform_v1beta1.types import machine_resources
from google.protobuf import timestamp_pb2 # type: ignore
__protobuf__ = proto.module(
package="google.cloud.aiplatform.v1beta1",
manifest={
"IndexEndpoint",
"DeployedIndex",
"DeployedInde... | 0.716516 | 0.317188 |
import sys
sys.path.insert(1, '..')
import myImpl
import util
class SearchProblem:
"""
This class outlines the structure of a search problem, but doesn't implement
any of the methods (in object-oriented terminology: an abstract class).
You do not need to change anything in this class, ever.
"""
... | LAB1/search/search.py | import sys
sys.path.insert(1, '..')
import myImpl
import util
class SearchProblem:
"""
This class outlines the structure of a search problem, but doesn't implement
any of the methods (in object-oriented terminology: an abstract class).
You do not need to change anything in this class, ever.
"""
... | 0.656878 | 0.739869 |
import os
import random
import calendar
import datetime
import textwrap
import cgi
import urllib.parse
import operator
import contextlib
import functools
from py31compat.functools import lru_cache
import cherrypy
import importlib_resources
import jinja2.loaders
import pytz
import inflect
import pmxbot.core
import pm... | pmxbot/web/viewer.py | import os
import random
import calendar
import datetime
import textwrap
import cgi
import urllib.parse
import operator
import contextlib
import functools
from py31compat.functools import lru_cache
import cherrypy
import importlib_resources
import jinja2.loaders
import pytz
import inflect
import pmxbot.core
import pm... | 0.460532 | 0.151655 |
"""LicenseManagerAgentCharm."""
import logging
from pathlib import Path
from ops.charm import CharmBase
from ops.framework import StoredState
from ops.main import main
from ops.model import ActiveStatus, BlockedStatus
from interface_prolog_epilog import PrologEpilog
from license_manager_agent_ops import LicenseManage... | src/charm.py | """LicenseManagerAgentCharm."""
import logging
from pathlib import Path
from ops.charm import CharmBase
from ops.framework import StoredState
from ops.main import main
from ops.model import ActiveStatus, BlockedStatus
from interface_prolog_epilog import PrologEpilog
from license_manager_agent_ops import LicenseManage... | 0.788909 | 0.075007 |
import os
import torch
import utils
import random
import numpy as np
from transformers import BertTokenizer
class DataLoader(object):
def __init__(self, data_dir, bert_class, params, token_pad_idx=0, tag_pad_idx=-1):
self.data_dir = data_dir
self.batch_size = params.batch_size
self.max_len ... | data_loader.py | import os
import torch
import utils
import random
import numpy as np
from transformers import BertTokenizer
class DataLoader(object):
def __init__(self, data_dir, bert_class, params, token_pad_idx=0, tag_pad_idx=-1):
self.data_dir = data_dir
self.batch_size = params.batch_size
self.max_len ... | 0.50415 | 0.363364 |
import json
import struct
from collections import namedtuple
from OrderAPI.pyT4.pyT4 import T4
ACCOUNT_TYPE = {
'S': '股票',
'F': '期貨',
'H': '港股'
}
class Account(object):
def __init__(self, acc):
"""
S9A95 - 9809315 - 楊伯謙
FF002000 - 9114728 - 楊伯謙
"""
self.type =... | OrderAPI/OrderAPI.py | import json
import struct
from collections import namedtuple
from OrderAPI.pyT4.pyT4 import T4
ACCOUNT_TYPE = {
'S': '股票',
'F': '期貨',
'H': '港股'
}
class Account(object):
def __init__(self, acc):
"""
S9A95 - 9809315 - 楊伯謙
FF002000 - 9114728 - 楊伯謙
"""
self.type =... | 0.394201 | 0.140513 |
import os
import argparse
import numpy as np
import mindspore.nn as nn
import mindspore.ops.operations as P
import mindspore.context as context
from mindspore.common.tensor import Tensor
from mindspore.train.serialization import export, load_checkpoint, load_param_into_net
class LeNet(nn.Cell):
def __init__(self)... | tests/ut/python/predict/test_predict_save_model.py | import os
import argparse
import numpy as np
import mindspore.nn as nn
import mindspore.ops.operations as P
import mindspore.context as context
from mindspore.common.tensor import Tensor
from mindspore.train.serialization import export, load_checkpoint, load_param_into_net
class LeNet(nn.Cell):
def __init__(self)... | 0.677367 | 0.220888 |
from __future__ import absolute_import, unicode_literals
import os
import mock
import pkg_resources
import pytest
from mopidy import config, exceptions, ext
from tests import IsA, any_unicode
class DummyExtension(ext.Extension):
dist_name = 'Mopidy-Foobar'
ext_name = 'foobar'
version = '1.2.3'
... | tests/test_ext.py | from __future__ import absolute_import, unicode_literals
import os
import mock
import pkg_resources
import pytest
from mopidy import config, exceptions, ext
from tests import IsA, any_unicode
class DummyExtension(ext.Extension):
dist_name = 'Mopidy-Foobar'
ext_name = 'foobar'
version = '1.2.3'
... | 0.586049 | 0.301671 |
import os
class ChemevoModel:
def __init__(self, filename, init_param=None):
self.filename = filename
self.initialize_model(**init_param)
def initialize_model(self, radius=10., time_tot=12000., dt=30.,
imf='kroupa', mbins_low=0.1, mbins_high=100.,
... | flexce_batch.py | import os
class ChemevoModel:
def __init__(self, filename, init_param=None):
self.filename = filename
self.initialize_model(**init_param)
def initialize_model(self, radius=10., time_tot=12000., dt=30.,
imf='kroupa', mbins_low=0.1, mbins_high=100.,
... | 0.315103 | 0.129871 |
import imp
import logging
import os
import sys
import traceback
import warnings
_sqlalchemy = None
try:
f, pathname, desc = imp.find_module("sqlalchemy", sys.path[1:])
_ = imp.load_module("sqlalchemy", f, pathname, desc)
if hasattr(_, "dialects"):
_sqlalchemy = _
warnings.simplefilter(actio... | Toolz/sqlmap/lib/utils/sqlalchemy.py | import imp
import logging
import os
import sys
import traceback
import warnings
_sqlalchemy = None
try:
f, pathname, desc = imp.find_module("sqlalchemy", sys.path[1:])
_ = imp.load_module("sqlalchemy", f, pathname, desc)
if hasattr(_, "dialects"):
_sqlalchemy = _
warnings.simplefilter(actio... | 0.214445 | 0.06486 |
from dataclasses import dataclass
from typing import Optional
import numpy as np
from qtpy.QtWidgets import QWidget
from vispy import scene
from ..tree import Annotation, Edge
from .base_plotter import TreePlotterQWidgetBase
__all__ = ["VisPyPlotter"]
@dataclass
class Bounds:
xmin: float
xmax: float
ym... | napari_arboretum/visualisation/vispy_plotter.py | from dataclasses import dataclass
from typing import Optional
import numpy as np
from qtpy.QtWidgets import QWidget
from vispy import scene
from ..tree import Annotation, Edge
from .base_plotter import TreePlotterQWidgetBase
__all__ = ["VisPyPlotter"]
@dataclass
class Bounds:
xmin: float
xmax: float
ym... | 0.95138 | 0.457621 |
import torch
from .generic_pair_loss import GenericPairLoss
from ..utils import loss_and_miner_utils as lmu, common_functions as c_f
class LiftedStructureLoss(GenericPairLoss):
def __init__(self, neg_margin, pos_margin=0, **kwargs):
super().__init__(use_similarity=False, mat_based_loss=False, **kwargs)
... | src/pytorch_metric_learning/losses/lifted_structure_loss.py |
import torch
from .generic_pair_loss import GenericPairLoss
from ..utils import loss_and_miner_utils as lmu, common_functions as c_f
class LiftedStructureLoss(GenericPairLoss):
def __init__(self, neg_margin, pos_margin=0, **kwargs):
super().__init__(use_similarity=False, mat_based_loss=False, **kwargs)
... | 0.824002 | 0.353707 |
import redis
try:
import unittest2 as unittest
except ImportError:
import unittest
from relationships import Relationship
from relationships.relationship import default_key_list
class RelationshipsTestCase(unittest.TestCase):
def setUp(self):
self.redis_connection = redis.StrictRedis(
... | tests.py | import redis
try:
import unittest2 as unittest
except ImportError:
import unittest
from relationships import Relationship
from relationships.relationship import default_key_list
class RelationshipsTestCase(unittest.TestCase):
def setUp(self):
self.redis_connection = redis.StrictRedis(
... | 0.510008 | 0.671632 |
import os
import tarfile
import shutil
from subprocess import check_call
from fmpy.util import download_file
url = 'https://github.com/rpclib/rpclib/archive/refs/tags/v2.3.0.tar.gz'
checksum = 'eb9e6fa65e1a79b37097397f60599b93cb443d304fbc0447c50851bc3452fdef'
# build configuration
config = 'Release'
download_file(u... | build_remoting.py | import os
import tarfile
import shutil
from subprocess import check_call
from fmpy.util import download_file
url = 'https://github.com/rpclib/rpclib/archive/refs/tags/v2.3.0.tar.gz'
checksum = 'eb9e6fa65e1a79b37097397f60599b93cb443d304fbc0447c50851bc3452fdef'
# build configuration
config = 'Release'
download_file(u... | 0.265499 | 0.057229 |
import networkx as nx
import multiset as m
import json
class IteratorScheme:
def __init__(self):
self.compresser_ctr = 0
self.seen_tuples = {}
def reset(self):
self.compresser_ctr = 0
self.seen_tuples = {}
return self
def set_initial_colours(self,g):
initial_w... | compression_schemes.py | import networkx as nx
import multiset as m
import json
class IteratorScheme:
def __init__(self):
self.compresser_ctr = 0
self.seen_tuples = {}
def reset(self):
self.compresser_ctr = 0
self.seen_tuples = {}
return self
def set_initial_colours(self,g):
initial_w... | 0.334481 | 0.133754 |
import os
import time
import boto3
from botocore.exceptions import ClientError
from botocore.client import Config
from django.utils.crypto import get_random_string
from storages.utils import setting, lookup_env
def get_bucket_name():
return setting("AWS_STORAGE_BUCKET_NAME") or lookup_env(
["DJANGO_AWS_S... | django_file_form/s3_multipart/utils.py | import os
import time
import boto3
from botocore.exceptions import ClientError
from botocore.client import Config
from django.utils.crypto import get_random_string
from storages.utils import setting, lookup_env
def get_bucket_name():
return setting("AWS_STORAGE_BUCKET_NAME") or lookup_env(
["DJANGO_AWS_S... | 0.419053 | 0.070528 |
import logging
from abc import ABCMeta
import aiohttp
import jinja2
import sender
import telepot
from jinja2 import PackageLoader
from page_monitor import config
env = jinja2.Environment(loader=PackageLoader('page_monitor', 'templates'))
email_template = env.get_template('email.html')
logger = logging.getLogger(__na... | page_monitor/actions.py | import logging
from abc import ABCMeta
import aiohttp
import jinja2
import sender
import telepot
from jinja2 import PackageLoader
from page_monitor import config
env = jinja2.Environment(loader=PackageLoader('page_monitor', 'templates'))
email_template = env.get_template('email.html')
logger = logging.getLogger(__na... | 0.46223 | 0.076961 |
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import func, desc, asc, distinct, and_, or_
from sqlalchemy.orm import relationship
from config import app_active, app_config
from model.User import User
from model.Category import Category
config = app_config[app_active]
db = SQLAlchemy(config.APP)
class Produc... | model/Product.py | from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import func, desc, asc, distinct, and_, or_
from sqlalchemy.orm import relationship
from config import app_active, app_config
from model.User import User
from model.Category import Category
config = app_config[app_active]
db = SQLAlchemy(config.APP)
class Produc... | 0.369884 | 0.07072 |
import glob
import lldb
from lldbsuite.test.decorators import *
from lldbsuite.test.lldbtest import *
from lldbsuite.test import lldbutil
import os
import time
class ModuleCacheTestcaseUniversal(TestBase):
mydir = TestBase.compute_mydir(__file__)
def setUp(self):
# Call super's setUp().
Tes... | lldb/test/API/functionalities/module_cache/universal/TestModuleCacheUniversal.py |
import glob
import lldb
from lldbsuite.test.decorators import *
from lldbsuite.test.lldbtest import *
from lldbsuite.test import lldbutil
import os
import time
class ModuleCacheTestcaseUniversal(TestBase):
mydir = TestBase.compute_mydir(__file__)
def setUp(self):
# Call super's setUp().
Tes... | 0.398992 | 0.223123 |
from __future__ import unicode_literals
import json
import operator
from wtforms import fields, widgets
__all__ = [
'KeyPropertyField',
'JsonPropertyField',
'RepeatedKeyPropertyField',
'PrefetchedKeyPropertyField',
'RepeatedPrefetchedKeyPropertyField',
'StringListPropertyField',
'IntegerL... | wtforms_appengine/fields/ndb.py | from __future__ import unicode_literals
import json
import operator
from wtforms import fields, widgets
__all__ = [
'KeyPropertyField',
'JsonPropertyField',
'RepeatedKeyPropertyField',
'PrefetchedKeyPropertyField',
'RepeatedPrefetchedKeyPropertyField',
'StringListPropertyField',
'IntegerL... | 0.864668 | 0.264435 |
#Import Local Modules
from marvin.cloudstackTestCase import cloudstackTestCase
from marvin.lib.base import (SecurityGroup,
Account)
from marvin.lib.common import (get_zone,
get_domain,
get_template)
from marvin.lib.utils import ... | test/integration/component/test_escalations_securitygroups.py |
#Import Local Modules
from marvin.cloudstackTestCase import cloudstackTestCase
from marvin.lib.base import (SecurityGroup,
Account)
from marvin.lib.common import (get_zone,
get_domain,
get_template)
from marvin.lib.utils import ... | 0.536799 | 0.245226 |
import base64
import gzip
import json
from unittest.mock import MagicMock, patch
import os
import sys
import unittest
sys.modules["trace_forwarder.connection"] = MagicMock()
sys.modules["datadog_lambda.wrapper"] = MagicMock()
sys.modules["datadog_lambda.metric"] = MagicMock()
sys.modules["datadog"] = MagicMock()
sys.m... | aws/logs_monitoring/tests/test_parsing.py | import base64
import gzip
import json
from unittest.mock import MagicMock, patch
import os
import sys
import unittest
sys.modules["trace_forwarder.connection"] = MagicMock()
sys.modules["datadog_lambda.wrapper"] = MagicMock()
sys.modules["datadog_lambda.metric"] = MagicMock()
sys.modules["datadog"] = MagicMock()
sys.m... | 0.412885 | 0.159283 |
from cumulusci.robotframework.pageobjects import DetailPage
from cumulusci.robotframework.pageobjects import ListingPage
from cumulusci.robotframework.pageobjects import pageobject
from BaseObjects import BaseNPSPPage
import time
from NPSP import npsp_lex_locators
@pageobject("Details", "Opportunity")
class Opportunit... | robot/Cumulus/resources/OpportunityPageObject.py | from cumulusci.robotframework.pageobjects import DetailPage
from cumulusci.robotframework.pageobjects import ListingPage
from cumulusci.robotframework.pageobjects import pageobject
from BaseObjects import BaseNPSPPage
import time
from NPSP import npsp_lex_locators
@pageobject("Details", "Opportunity")
class Opportunit... | 0.448306 | 0.129706 |
from nose.tools import assert_raises
from pyeda.boolalg import boolfunc
from pyeda.boolalg import exprnode
from pyeda.boolalg.bfarray import exprvars
from pyeda.boolalg.expr import (
Zero, One,
exprvar, expr,
#expr2dimacscnf, expr2dimacssat,
Expression,
Not, Or, And, Xor, Equal, Implies, ITE,
N... | pyeda/boolalg/test/test_exxpr.py | from nose.tools import assert_raises
from pyeda.boolalg import boolfunc
from pyeda.boolalg import exprnode
from pyeda.boolalg.bfarray import exprvars
from pyeda.boolalg.expr import (
Zero, One,
exprvar, expr,
#expr2dimacscnf, expr2dimacssat,
Expression,
Not, Or, And, Xor, Equal, Implies, ITE,
N... | 0.765681 | 0.664826 |
import roslib; roslib.load_manifest('vigir_behavior_praying_mantis_calibration')
from flexbe_core import Behavior, Autonomy, OperatableStateMachine, Logger
from vigir_flexbe_states.change_control_mode_action_state import ChangeControlModeActionState
from flexbe_states.calculation_state import CalculationState
from fle... | behaviors/vigir_behavior_praying_mantis_calibration/src/vigir_behavior_praying_mantis_calibration/praying_mantis_calibration_sm.py |
import roslib; roslib.load_manifest('vigir_behavior_praying_mantis_calibration')
from flexbe_core import Behavior, Autonomy, OperatableStateMachine, Logger
from vigir_flexbe_states.change_control_mode_action_state import ChangeControlModeActionState
from flexbe_states.calculation_state import CalculationState
from fle... | 0.496582 | 0.209268 |
import numpy as np
import anndata as ad
import pandas as pd
from scipy.special import softmax
def generate_normal_uncorrelated(N, D, K, n_total, noise_std_true=1):
"""
Scenario 1: Normally distributed, independent covariates
Parameters
----------
N -- int
Number of samples
D -- int
... | scdcdm/util/data_generation.py | import numpy as np
import anndata as ad
import pandas as pd
from scipy.special import softmax
def generate_normal_uncorrelated(N, D, K, n_total, noise_std_true=1):
"""
Scenario 1: Normally distributed, independent covariates
Parameters
----------
N -- int
Number of samples
D -- int
... | 0.863132 | 0.606061 |
from enum import Enum
from numpy import asarray
from PIL import Image
from face_embedding_engine import FaceEmbeddingModelEnum
# We use descriptive variable and function names so
# disable the pylint warning for long lines
# pylint: disable=line-too-long
SSD_MOBILENET_V2_FACE_MODEL = 'models/ssd_mobilenet_v2_face_q... | face_detection_engine.py | from enum import Enum
from numpy import asarray
from PIL import Image
from face_embedding_engine import FaceEmbeddingModelEnum
# We use descriptive variable and function names so
# disable the pylint warning for long lines
# pylint: disable=line-too-long
SSD_MOBILENET_V2_FACE_MODEL = 'models/ssd_mobilenet_v2_face_q... | 0.869645 | 0.449816 |
from __future__ import division
import torch
import torch.nn as nn
from torch.nn import init
import numbers
import torch.nn.functional as F
from logging import getLogger
from libcity.model.abstract_traffic_state_model import AbstractTrafficStateModel
from libcity.model import loss
class NConv(nn.Module):
def __in... | libcity/model/traffic_speed_prediction/MTGNN.py | from __future__ import division
import torch
import torch.nn as nn
from torch.nn import init
import numbers
import torch.nn.functional as F
from logging import getLogger
from libcity.model.abstract_traffic_state_model import AbstractTrafficStateModel
from libcity.model import loss
class NConv(nn.Module):
def __in... | 0.934567 | 0.318538 |
import cv2
import sqlite3
import numpy as np
import os
import threading
import time
import PIL.Image
import PIL.ExifTags
import datetime
from shutil import copyfile
import subprocess
from upload_video import upload_video
imagePath = '/timelapse/'
hdrPath = '/timelapse/hdr/'
weekTemp = '/timelapse/tmp/week... | timeLapser.py | import cv2
import sqlite3
import numpy as np
import os
import threading
import time
import PIL.Image
import PIL.ExifTags
import datetime
from shutil import copyfile
import subprocess
from upload_video import upload_video
imagePath = '/timelapse/'
hdrPath = '/timelapse/hdr/'
weekTemp = '/timelapse/tmp/week... | 0.105326 | 0.087486 |
from __future__ import unicode_literals
from ...attrs import LIKE_NUM
_num_words = [
"zero",
"um",
"dois",
"três",
"tres",
"quatro",
"cinco",
"seis",
"sete",
"oito",
"nove",
"dez",
"onze",
"doze",
"dúzia",
"dúzias",
"duzia",
"duzias",
"treze... | spacy/lang/pt/lex_attrs.py | from __future__ import unicode_literals
from ...attrs import LIKE_NUM
_num_words = [
"zero",
"um",
"dois",
"três",
"tres",
"quatro",
"cinco",
"seis",
"sete",
"oito",
"nove",
"dez",
"onze",
"doze",
"dúzia",
"dúzias",
"duzia",
"duzias",
"treze... | 0.435061 | 0.339691 |
from litex.build.generic_platform import *
from litex.build.altera import AlteraPlatform
from litex.build.altera.programmer import USBBlaster
# IOs ----------------------------------------------------------------------------------------------
_io = [
# Clk
("clk50", 0, Pins("T2"), IOStandard("3.3-V LVTTL")),... | litex_boards/platforms/qmtech_ep4cex5.py |
from litex.build.generic_platform import *
from litex.build.altera import AlteraPlatform
from litex.build.altera.programmer import USBBlaster
# IOs ----------------------------------------------------------------------------------------------
_io = [
# Clk
("clk50", 0, Pins("T2"), IOStandard("3.3-V LVTTL")),... | 0.391522 | 0.270598 |
import sys, os
import argparse
from collections import OrderedDict, defaultdict
import gffutils as gff
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
from io import StringIO
import numpy as np
from random import sample
from dendropy.simulate import treesim
from dendropy.model import r... | scripts/pseudo_full_pangenome.py | import sys, os
import argparse
from collections import OrderedDict, defaultdict
import gffutils as gff
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
from io import StringIO
import numpy as np
from random import sample
from dendropy.simulate import treesim
from dendropy.model import r... | 0.325521 | 0.29151 |
from django.test import TestCase
from unittest.mock import patch, call
# Import module
from backend.object_detector import *
class DetectObjectsTest(TestCase):
"""
Hard to test full call because of threading.
"""
@patch('backend.database_wrapper.create_hash_sum')
def setUp(self, mock_create_hash... | backend/test/test_integration/test_object_detector.py | from django.test import TestCase
from unittest.mock import patch, call
# Import module
from backend.object_detector import *
class DetectObjectsTest(TestCase):
"""
Hard to test full call because of threading.
"""
@patch('backend.database_wrapper.create_hash_sum')
def setUp(self, mock_create_hash... | 0.628407 | 0.346652 |
from pynq import DefaultHierarchy, DefaultIP, allocate
from pynq import Overlay
from datetime import datetime
import pynq.lib.dma
import numpy as np
class NeuralNetworkOverlay(Overlay):
def __init__(self, bitfile_name, x_shape, y_shape, dtype=np.float32, dtbo=None, download=True, ignore_version=False,
... | hls4ml/templates/vivado_accelerator/zcu102/python_drivers/axi_stream_driver.py | from pynq import DefaultHierarchy, DefaultIP, allocate
from pynq import Overlay
from datetime import datetime
import pynq.lib.dma
import numpy as np
class NeuralNetworkOverlay(Overlay):
def __init__(self, bitfile_name, x_shape, y_shape, dtype=np.float32, dtbo=None, download=True, ignore_version=False,
... | 0.787278 | 0.58433 |
r"""Spherical Harmonics as polynomials of x, y, z
"""
import math
from functools import partial
import jax
import jax.numpy as jnp
from jax.numpy import sqrt
from e3nn_jax import Irreps, IrrepsData, wigner_3j_sympy
@partial(jax.jit, static_argnums=(0, 2, 3), inline=True)
def spherical_harmonics(
irreps_out,
... | e3nn_jax/_spherical_harmonics.py | r"""Spherical Harmonics as polynomials of x, y, z
"""
import math
from functools import partial
import jax
import jax.numpy as jnp
from jax.numpy import sqrt
from e3nn_jax import Irreps, IrrepsData, wigner_3j_sympy
@partial(jax.jit, static_argnums=(0, 2, 3), inline=True)
def spherical_harmonics(
irreps_out,
... | 0.905933 | 0.769124 |
import datetime
import hashlib
from typing import List
from unittest.mock import patch
import pytz
from django.conf import settings
from django.core import mail
from django.core.exceptions import ImproperlyConfigured
from django.test import TestCase
from django.utils import timezone
from freezegun import freeze_time
... | posthog/test/test_email.py | import datetime
import hashlib
from typing import List
from unittest.mock import patch
import pytz
from django.conf import settings
from django.core import mail
from django.core.exceptions import ImproperlyConfigured
from django.test import TestCase
from django.utils import timezone
from freezegun import freeze_time
... | 0.65368 | 0.182972 |
from depsolver.errors \
import \
DepSolverError
from depsolver.constraints \
import \
Equal, GEQ, LEQ
from depsolver.requirement_parser \
import \
RawRequirementParser
from depsolver.version \
import \
MaxVersion, MinVersion, Version
V = Version.from_string
class Requir... | depsolver/requirement.py | from depsolver.errors \
import \
DepSolverError
from depsolver.constraints \
import \
Equal, GEQ, LEQ
from depsolver.requirement_parser \
import \
RawRequirementParser
from depsolver.version \
import \
MaxVersion, MinVersion, Version
V = Version.from_string
class Requir... | 0.816516 | 0.333557 |
import httplib
from json import loads, dumps
import types
import urllib
SERVER_ERROR = "err" # Indicates that a non-fatal error occurred on the server
# Usually means an invalid Wave ID
UNKNOWN_ERROR = "unk" # Indicates that an error occurred in the MindstormsyAPI
# Use MindstormsyClient.lastError to ... | mindstormsy-client/mindstormsyapi.py | import httplib
from json import loads, dumps
import types
import urllib
SERVER_ERROR = "err" # Indicates that a non-fatal error occurred on the server
# Usually means an invalid Wave ID
UNKNOWN_ERROR = "unk" # Indicates that an error occurred in the MindstormsyAPI
# Use MindstormsyClient.lastError to ... | 0.328314 | 0.140336 |
import numpy as np
from collections import OrderedDict
from .. import analyze
from ..objects import Signal
from ..enum import Freq
try:
from ..utils.ta1 import MACD, SMA
except:
from ..utils.ta import MACD, SMA
def get_s_single_k(c: analyze.CZSC, di: int = 1) -> OrderedDict:
"""获取倒数第i根K线的单K信号"""
if c... | czsc/signals/ta.py | import numpy as np
from collections import OrderedDict
from .. import analyze
from ..objects import Signal
from ..enum import Freq
try:
from ..utils.ta1 import MACD, SMA
except:
from ..utils.ta import MACD, SMA
def get_s_single_k(c: analyze.CZSC, di: int = 1) -> OrderedDict:
"""获取倒数第i根K线的单K信号"""
if c... | 0.318697 | 0.355495 |
import datetime
from .resources import (
LINK_LIST_URL_TEMPLATE,
CURRENT_YEAR,
DATE_FMT,
ALL_SOURCES,
)
def string_safe_list(obj):
"""
Turn an (iterable) object into a list. If it is a string or not
iterable, put the whole object into a list of length 1.
:param obj:
:return list... | airbase/util.py |
import datetime
from .resources import (
LINK_LIST_URL_TEMPLATE,
CURRENT_YEAR,
DATE_FMT,
ALL_SOURCES,
)
def string_safe_list(obj):
"""
Turn an (iterable) object into a list. If it is a string or not
iterable, put the whole object into a list of length 1.
:param obj:
:return list... | 0.682574 | 0.396711 |
import os
import socket
from mock import mock
from pyngrok import ngrok, installer, conf
from pyngrok.exception import PyngrokNgrokInstallError, PyngrokSecurityError, PyngrokError
from .testcase import NgrokTestCase
__author__ = "<NAME>"
__copyright__ = "Copyright 2020, <NAME>"
__version__ = "4.1.0"
class TestInst... | tests/test_installer.py | import os
import socket
from mock import mock
from pyngrok import ngrok, installer, conf
from pyngrok.exception import PyngrokNgrokInstallError, PyngrokSecurityError, PyngrokError
from .testcase import NgrokTestCase
__author__ = "<NAME>"
__copyright__ = "Copyright 2020, <NAME>"
__version__ = "4.1.0"
class TestInst... | 0.336876 | 0.159217 |
from django.db.backends.signals import connection_created
from django.db.migrations.writer import MigrationWriter
from django.test.utils import modify_settings
from . import PostgreSQLTestCase
try:
from psycopg2.extras import (
DateRange,
DateTimeRange,
DateTimeTZRange,
NumericRang... | tests/postgres_tests/test_apps.py | from django.db.backends.signals import connection_created
from django.db.migrations.writer import MigrationWriter
from django.test.utils import modify_settings
from . import PostgreSQLTestCase
try:
from psycopg2.extras import (
DateRange,
DateTimeRange,
DateTimeTZRange,
NumericRang... | 0.477554 | 0.204144 |
import collections
from collections import OrderedDict
import copy
import pandas as pd
import numpy as np
from datetime import date, timedelta
# Set the float display format
pd.options.display.float_format = '{:.8f}'.format
# DO NOT MODIFY - THE CODE BELOW CONTAINS HELPER CODE TO TEST YOUR PROJECT
def _generate_outpu... | tests.py | import collections
from collections import OrderedDict
import copy
import pandas as pd
import numpy as np
from datetime import date, timedelta
# Set the float display format
pd.options.display.float_format = '{:.8f}'.format
# DO NOT MODIFY - THE CODE BELOW CONTAINS HELPER CODE TO TEST YOUR PROJECT
def _generate_outpu... | 0.592902 | 0.357175 |
##
# Import Modules
#
from Ffs import Ffs
import Section
import subprocess
import Common.LongFilePathOs as os
from GenFdsGlobalVariable import GenFdsGlobalVariable
from CommonDataClass.FdfClass import CompressSectionClassObject
from Common.DataType import *
## generate compress section
#
#
class Compre... | BaseTools/Source/Python/GenFds/CompressSection.py |
##
# Import Modules
#
from Ffs import Ffs
import Section
import subprocess
import Common.LongFilePathOs as os
from GenFdsGlobalVariable import GenFdsGlobalVariable
from CommonDataClass.FdfClass import CompressSectionClassObject
from Common.DataType import *
## generate compress section
#
#
class Compre... | 0.195786 | 0.079175 |
from collections import OrderedDict
from functools import partial
import numpy as np
from numpy.testing import assert_allclose
import pytest
from jax import random
import jax.numpy as jnp
from funsor import Tensor, bint, reals
import numpyro
from numpyro.contrib.control_flow import scan
from numpyro.contrib.funsor ... | test/contrib/test_funsor.py |
from collections import OrderedDict
from functools import partial
import numpy as np
from numpy.testing import assert_allclose
import pytest
from jax import random
import jax.numpy as jnp
from funsor import Tensor, bint, reals
import numpyro
from numpyro.contrib.control_flow import scan
from numpyro.contrib.funsor ... | 0.644337 | 0.455501 |
import fcntl
import json
import logging
import uuid
from multiprocessing import Process
import redis as _redis
import requests
from flask import Flask, Response, request
import settings
from emulation import run_emulation
from tokenization import tokenize
app = Flask(__name__)
process = None # made process a globa... | emulation/app.py | import fcntl
import json
import logging
import uuid
from multiprocessing import Process
import redis as _redis
import requests
from flask import Flask, Response, request
import settings
from emulation import run_emulation
from tokenization import tokenize
app = Flask(__name__)
process = None # made process a globa... | 0.277375 | 0.092647 |
import os, sys, string, math, re, Utils, codecs
class DelayedApply:
def __init__(self, dir, data_or_filename):
self.mSandbox = Utils.FindSandbox(dir)
self.mSmeObjects = self.FindDiscoObjects()
self.mSmeOperations = self.FindOperationObjects()
self.mObjectMap = {}
sel... | delayed_apply_converter.py | import os, sys, string, math, re, Utils, codecs
class DelayedApply:
def __init__(self, dir, data_or_filename):
self.mSandbox = Utils.FindSandbox(dir)
self.mSmeObjects = self.FindDiscoObjects()
self.mSmeOperations = self.FindOperationObjects()
self.mObjectMap = {}
sel... | 0.126057 | 0.142113 |
import ast
import builtins
import re
import token
import tokenize
import os.path
from thonny.assistance import ErrorHelper, Suggestion, name_similarity, add_error_helper
from thonny import assistance
from thonny.misc_utils import running_on_linux, running_on_windows
class SyntaxErrorHelper(ErrorHelper):
def __in... | thonny/plugins/stdlib_error_helpers.py | import ast
import builtins
import re
import token
import tokenize
import os.path
from thonny.assistance import ErrorHelper, Suggestion, name_similarity, add_error_helper
from thonny import assistance
from thonny.misc_utils import running_on_linux, running_on_windows
class SyntaxErrorHelper(ErrorHelper):
def __in... | 0.466116 | 0.203668 |
import sys
from pathlib import Path
import logging
import os
from file_converter_worker import FileConverterWorker
from PyQt6.QtCore import Qt, QThread
from PyQt6.QtWidgets import QApplication, QMainWindow, QFileDialog, QMessageBox
from ui.MainWindow import Ui_MainWindow
logging.basicConfig(level=logging.DEBUG)
c... | tif2pdf.py | import sys
from pathlib import Path
import logging
import os
from file_converter_worker import FileConverterWorker
from PyQt6.QtCore import Qt, QThread
from PyQt6.QtWidgets import QApplication, QMainWindow, QFileDialog, QMessageBox
from ui.MainWindow import Ui_MainWindow
logging.basicConfig(level=logging.DEBUG)
c... | 0.221182 | 0.084871 |
import tg
import time
from mailtemplates.lib import MailTemplatesError
from mailtemplates.lib import TemplateFiller
from mailtemplates.lib import send_email
from tg.util.webtest import test_context
from tgext.asyncjob.queue import AsyncJobQueue
from tgext.mailer import get_mailer
from tgext.pluggable import app_model
... | tests/test_controller.py | import tg
import time
from mailtemplates.lib import MailTemplatesError
from mailtemplates.lib import TemplateFiller
from mailtemplates.lib import send_email
from tg.util.webtest import test_context
from tgext.asyncjob.queue import AsyncJobQueue
from tgext.mailer import get_mailer
from tgext.pluggable import app_model
... | 0.366136 | 0.086825 |
class PID:
""" Simple PID control.
This class implements a simplistic PID control algorithm. When first
instantiated all the gain variables are set to zero, so calling
the method GenOut will just return zero.
"""
def __init__(self):
# initialze gains
self.Kp = 0
... | src/blmc/pid.py |
class PID:
""" Simple PID control.
This class implements a simplistic PID control algorithm. When first
instantiated all the gain variables are set to zero, so calling
the method GenOut will just return zero.
"""
def __init__(self):
# initialze gains
self.Kp = 0
... | 0.747616 | 0.507202 |
from __future__ import print_function
import collections
import logging
import os
from datetime import datetime, timedelta
from glob import glob
from airflow import models
from airflow.operators.bash_operator import BashOperator
from airflow.operators.email_operator import EmailOperator
from airflow.operators.python_... | dags/ethereumetl_airflow/build_parse_dag.py | from __future__ import print_function
import collections
import logging
import os
from datetime import datetime, timedelta
from glob import glob
from airflow import models
from airflow.operators.bash_operator import BashOperator
from airflow.operators.email_operator import EmailOperator
from airflow.operators.python_... | 0.415847 | 0.126003 |
import re
from edgedb.lang import _testbase as tb
from edgedb.lang.graphql import generate_source as gql_to_source
from edgedb.lang.graphql.parser import parser as gql_parser
from edgedb.lang.graphql.parser.errors import (GraphQLParserError,
GraphQLUniquenessError,
... | tests/test_graphql_syntax.py |
import re
from edgedb.lang import _testbase as tb
from edgedb.lang.graphql import generate_source as gql_to_source
from edgedb.lang.graphql.parser import parser as gql_parser
from edgedb.lang.graphql.parser.errors import (GraphQLParserError,
GraphQLUniquenessError,
... | 0.460046 | 0.121895 |
from numpy import s_, array
from numpy.random import normal
from exotk.priors import PriorSet, UP, NP
from .core import *
from .extcore import map_uv_to_qq
from .lpf import CLPF
from .lpfsd import LPFSD
class LPFMD(CLPF):
def __init__(self, passband, lctype='relative', use_ldtk=False, n_threads=1, pipeline='gc'):... | src/lpfmd.py | from numpy import s_, array
from numpy.random import normal
from exotk.priors import PriorSet, UP, NP
from .core import *
from .extcore import map_uv_to_qq
from .lpf import CLPF
from .lpfsd import LPFSD
class LPFMD(CLPF):
def __init__(self, passband, lctype='relative', use_ldtk=False, n_threads=1, pipeline='gc'):... | 0.754734 | 0.198064 |
from pymongo import MongoClient, errors
import sys, datetime
# added for future
params = {
'db_name': 'AWESOME_DS',
'maxSevSelDelay': 1,
'log_fl': "/tmp/mongo_instance.live.log"
}
class mongod_instance:
def __init__(self, conn_cfg=params):
self.client = MongoClient(serverSelectionTimeoutMS=c... | script/mongod_helper.py | from pymongo import MongoClient, errors
import sys, datetime
# added for future
params = {
'db_name': 'AWESOME_DS',
'maxSevSelDelay': 1,
'log_fl': "/tmp/mongo_instance.live.log"
}
class mongod_instance:
def __init__(self, conn_cfg=params):
self.client = MongoClient(serverSelectionTimeoutMS=c... | 0.253584 | 0.113506 |
from __future__ import unicode_literals
from django.template import defaultfilters
from django.db import models
# Create your models here.
CLASIFICACION_CHOICES = (
(0, "Articulo"),
(1, "Presentación"),
(2, "Libro"),
)
# ______________________________________________________________________
class Pais(mo... | home/models.py | from __future__ import unicode_literals
from django.template import defaultfilters
from django.db import models
# Create your models here.
CLASIFICACION_CHOICES = (
(0, "Articulo"),
(1, "Presentación"),
(2, "Libro"),
)
# ______________________________________________________________________
class Pais(mo... | 0.494385 | 0.137851 |
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from chirpstack_api.as_pb.external.api import gatewayProfile_pb2 as chirpstack__api_dot_as__pb_dot_external_dot_api_dot_gatewayProfile__pb2
from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2
class Gateway... | python/src/chirpstack_api/as_pb/external/api/gatewayProfile_pb2_grpc.py | """Client and server classes corresponding to protobuf-defined services."""
import grpc
from chirpstack_api.as_pb.external.api import gatewayProfile_pb2 as chirpstack__api_dot_as__pb_dot_external_dot_api_dot_gatewayProfile__pb2
from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2
class Gateway... | 0.658308 | 0.101056 |
import os
import textwrap
from urllib.parse import urlparse
from ...utils import parse_readable_size
def _remove_nones(cfg):
return dict((k, v) for k, v in cfg.items() if v is not None)
def _get_local_app_module(mod_name):
return __name__.rsplit('.', 1)[0] + '.' + mod_name.rsplit('.', 1)[-1]
class Secur... | mars/deploy/yarn/config.py |
import os
import textwrap
from urllib.parse import urlparse
from ...utils import parse_readable_size
def _remove_nones(cfg):
return dict((k, v) for k, v in cfg.items() if v is not None)
def _get_local_app_module(mod_name):
return __name__.rsplit('.', 1)[0] + '.' + mod_name.rsplit('.', 1)[-1]
class Secur... | 0.449634 | 0.07343 |
from optparse import OptionParser
import numpy as np
import pandas as pd
from scipy.stats import wilcoxon
def main():
usage = "%prog"
parser = OptionParser(usage=usage)
#parser.add_option('--keyword', dest='key', default=None,
# help='Keyword argument: default=%default')
#parser.... | post/do_tests.py | from optparse import OptionParser
import numpy as np
import pandas as pd
from scipy.stats import wilcoxon
def main():
usage = "%prog"
parser = OptionParser(usage=usage)
#parser.add_option('--keyword', dest='key', default=None,
# help='Keyword argument: default=%default')
#parser.... | 0.238196 | 0.237046 |
import numpy as np
import os
from functools import partial
try:
import nibabel as nib
import cifti
except ModuleNotFoundError:
raise Exception('Please install nibabel and cifti in your work station')
def load_brainimg(imgpath, ismask=False):
"""
Load brain image identified by its suffix.
The su... | dnnbrain/brain/io.py | import numpy as np
import os
from functools import partial
try:
import nibabel as nib
import cifti
except ModuleNotFoundError:
raise Exception('Please install nibabel and cifti in your work station')
def load_brainimg(imgpath, ismask=False):
"""
Load brain image identified by its suffix.
The su... | 0.534612 | 0.359955 |
from parcellearning.conv.pairconv import PAIRConv
from parcellearning.conv.gatconv import GATConv
import numpy as np
import dgl
from dgl import data
from dgl.data import DGLDataset
import dgl.function as fn
from dgl.nn.pytorch import edge_softmax
import torch
import torch.nn as nn
import torch.nn.functional as F
from... | parcellearning/pairgat/pairgat.py | from parcellearning.conv.pairconv import PAIRConv
from parcellearning.conv.gatconv import GATConv
import numpy as np
import dgl
from dgl import data
from dgl.data import DGLDataset
import dgl.function as fn
from dgl.nn.pytorch import edge_softmax
import torch
import torch.nn as nn
import torch.nn.functional as F
from... | 0.911967 | 0.499268 |
import networkx as nx
from collections import OrderedDict
from ontology_processing.graph_creation.ontology_processing_utils import (
get_source_types,
)
class ProcessMyths:
"""
Climate Myths are shown to the end user. Some myths are attached to a climate
solution and others are common myths not attach... | ontology_processing/graph_creation/process_myths.py | import networkx as nx
from collections import OrderedDict
from ontology_processing.graph_creation.ontology_processing_utils import (
get_source_types,
)
class ProcessMyths:
"""
Climate Myths are shown to the end user. Some myths are attached to a climate
solution and others are common myths not attach... | 0.705988 | 0.394172 |
import pytest
from dart_fss.fs.extract import find_all_columns
from dart_fss.utils import str_compare
class TestCrp(object):
def __init__(self, corp_code, bgn_de, separate, report_tp, end_de=None):
self.corp = None
if corp_code:
self.corp_code = corp_code
else:
pyte... | dart_fss/tests/test_case/testcrp.py | import pytest
from dart_fss.fs.extract import find_all_columns
from dart_fss.utils import str_compare
class TestCrp(object):
def __init__(self, corp_code, bgn_de, separate, report_tp, end_de=None):
self.corp = None
if corp_code:
self.corp_code = corp_code
else:
pyte... | 0.395018 | 0.294576 |
import random
import boto3
from base import ProxyRotator
class AWSCommand(object):
'''Class encapsulating the aws ec2 API'''
def __init__(self, config=None):
self.ec2 = boto3.resource('ec2')
self.config = config
def create_ec2(self, **params):
return self.ec2.create_instances(MaxC... | aws.py | import random
import boto3
from base import ProxyRotator
class AWSCommand(object):
'''Class encapsulating the aws ec2 API'''
def __init__(self, config=None):
self.ec2 = boto3.resource('ec2')
self.config = config
def create_ec2(self, **params):
return self.ec2.create_instances(MaxC... | 0.525125 | 0.095687 |
from java.io import File
from java.lang import Class
from java.lang import ClassNotFoundException
from java.lang import Double
from java.lang import Long
from java.sql import Connection
from java.sql import DriverManager
from java.sql import ResultSet
from java.sql import SQLException
from java.sql import Statement
fro... | InternalPythonModules/android/browserlocation.py | from java.io import File
from java.lang import Class
from java.lang import ClassNotFoundException
from java.lang import Double
from java.lang import Long
from java.sql import Connection
from java.sql import DriverManager
from java.sql import ResultSet
from java.sql import SQLException
from java.sql import Statement
fro... | 0.653901 | 0.09451 |
import numpy
import imageio
import glob
import sys
import os
import random
from PIL import Image
height = 0
width = 0
def get_subdir(folder):
listDir = None
for root, dirs, files in os.walk(folder):
if not dirs == []:
listDir = dirs
break
listDir.sort()
return listDi... | helpers/convertToMnistFormat/convert_to_mnist_format.py |
import numpy
import imageio
import glob
import sys
import os
import random
from PIL import Image
height = 0
width = 0
def get_subdir(folder):
listDir = None
for root, dirs, files in os.walk(folder):
if not dirs == []:
listDir = dirs
break
listDir.sort()
return listDi... | 0.218253 | 0.257572 |
from package.definition import logger
class Config():
"""
Configuration
Args:
use_bidirectional (bool): if True, becomes a bidirectional listener (default: True)
use_attention (bool): flag indication whether to use attention mechanism or not (default: True)
use_label_smooth (bool)... | package/config.py | from package.definition import logger
class Config():
"""
Configuration
Args:
use_bidirectional (bool): if True, becomes a bidirectional listener (default: True)
use_attention (bool): flag indication whether to use attention mechanism or not (default: True)
use_label_smooth (bool)... | 0.884058 | 0.23793 |
# In[ ]:
# Author : <NAME>
# github link : https://github.com/amirshnll/COVID-19-Surveillance
# dataset link : http://archive.ics.uci.edu/ml/datasets/COVID-19+Surveillance
# email : <EMAIL>
# ### <p style=color:blue>Logestic Regression for Divorce Predictors Data Set</p>
#
# #### The Dataset
# The Dataset is fro... | Logestic Regression.py |
# In[ ]:
# Author : <NAME>
# github link : https://github.com/amirshnll/COVID-19-Surveillance
# dataset link : http://archive.ics.uci.edu/ml/datasets/COVID-19+Surveillance
# email : <EMAIL>
# ### <p style=color:blue>Logestic Regression for Divorce Predictors Data Set</p>
#
# #### The Dataset
# The Dataset is fro... | 0.446495 | 0.560914 |
from os.path import exists
import sqlite3 as sql
import pandas
db_path = './all13f.db'
if exists(db_path):
conn = sql.connect(db_path)
else:
print(db_path + ' does not exist. Exiting.')
exit(1)
# Get funds
funds_df = pandas.read_sql_query('''SELECT * FROM "FUNDS"''', conn, index_col='cik')
funds_dict... | analyze13f.py | from os.path import exists
import sqlite3 as sql
import pandas
db_path = './all13f.db'
if exists(db_path):
conn = sql.connect(db_path)
else:
print(db_path + ' does not exist. Exiting.')
exit(1)
# Get funds
funds_df = pandas.read_sql_query('''SELECT * FROM "FUNDS"''', conn, index_col='cik')
funds_dict... | 0.184217 | 0.158304 |
from avocado_qemu import Test
from avocado_qemu import BUILD_DIR
from avocado_qemu import wait_for_console_pattern
from avocado_qemu import exec_command_and_wait_for_pattern
from avocado_qemu import is_readable_executable_file
from qemu.accel import kvm_available
import os
import socket
import subprocess
ACCEL_NO... | qemu/tests/acceptance/virtio-gpu.py |
from avocado_qemu import Test
from avocado_qemu import BUILD_DIR
from avocado_qemu import wait_for_console_pattern
from avocado_qemu import exec_command_and_wait_for_pattern
from avocado_qemu import is_readable_executable_file
from qemu.accel import kvm_available
import os
import socket
import subprocess
ACCEL_NO... | 0.183411 | 0.063861 |
import mxnet as mx
from mxnet.operator import CustomOp, CustomOpProp
from .util import parse_string_to_tuple
class BroadcastToWithSamplesOp(CustomOp):
def __init__(self, isSamples, shape, **kwargs):
self.isSamples = isSamples
self.shape = shape
super(BroadcastToWithSamplesOp, self).__init_... | mxfusion/util/customop.py | import mxnet as mx
from mxnet.operator import CustomOp, CustomOpProp
from .util import parse_string_to_tuple
class BroadcastToWithSamplesOp(CustomOp):
def __init__(self, isSamples, shape, **kwargs):
self.isSamples = isSamples
self.shape = shape
super(BroadcastToWithSamplesOp, self).__init_... | 0.699357 | 0.480113 |
from concurrent.futures import Future, TimeoutError
from functools import partial
from deprecated import deprecated
from enum import Enum
from ... import RouterClient
from ...NotificationHandler import NotificationHandler
from ... import BitMaskTools
from ..messages import ControlConfig_pb2 as ControlConfigPb # NOQA
... | kortex_api/autogen/client_stubs/ControlConfigClientRpc.py | from concurrent.futures import Future, TimeoutError
from functools import partial
from deprecated import deprecated
from enum import Enum
from ... import RouterClient
from ...NotificationHandler import NotificationHandler
from ... import BitMaskTools
from ..messages import ControlConfig_pb2 as ControlConfigPb # NOQA
... | 0.569733 | 0.132767 |
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import pickle
import pandas as pd
POI_FILENAME = "data/poi-paris.pkl"
parismap = mpimg.imread('data/paris-48.806-2.23--48.916-2.48.jpg')
## coordonnees GPS de la carte
xmin, xmax = 2.23, 2.48 # coord_x min et max
ymin, ymax = 48.806... | S2/ML/TME/TME_dam/tme2/tme2.py |
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import pickle
import pandas as pd
POI_FILENAME = "data/poi-paris.pkl"
parismap = mpimg.imread('data/paris-48.806-2.23--48.916-2.48.jpg')
## coordonnees GPS de la carte
xmin, xmax = 2.23, 2.48 # coord_x min et max
ymin, ymax = 48.806... | 0.403097 | 0.596521 |
import six
from zope.interface import implementer
from zope.interface.verify import verifyObject
from twisted.python.failure import Failure
from twisted.protocols.amp import IBoxReceiver, IBoxSender
from twisted.trial.unittest import TestCase
from epsilon.amprouter import _ROUTE, RouteNotConnected, Router
@implemen... | epsilon/test/test_amprouter.py | import six
from zope.interface import implementer
from zope.interface.verify import verifyObject
from twisted.python.failure import Failure
from twisted.protocols.amp import IBoxReceiver, IBoxSender
from twisted.trial.unittest import TestCase
from epsilon.amprouter import _ROUTE, RouteNotConnected, Router
@implemen... | 0.60054 | 0.260142 |
import re
import unittest
from perfkitbenchmarker import flags_validators
from perfkitbenchmarker import sample
from perfkitbenchmarker import timing_util
class ValidateMeasurementsFlagTestCase(unittest.TestCase):
"""Tests exercising ValidateMeasurementsFlag."""
def testInvalidValue(self):
"""Passing an un... | tests/timing_util_test.py |
import re
import unittest
from perfkitbenchmarker import flags_validators
from perfkitbenchmarker import sample
from perfkitbenchmarker import timing_util
class ValidateMeasurementsFlagTestCase(unittest.TestCase):
"""Tests exercising ValidateMeasurementsFlag."""
def testInvalidValue(self):
"""Passing an un... | 0.787073 | 0.691406 |
import os
import shutil
import unittest
import luigi
import logging
import yaml
from itertools import izip
import ratatosk.lib.align.bwa as BWA
import ratatosk.lib.tools.samtools as SAM
import ratatosk.lib.files.fastq as FASTQ
import ratatosk.lib.tools.picard as PICARD
import ratatosk.lib.tools.gatk as GATK
import rata... | test/test_functions.py | import os
import shutil
import unittest
import luigi
import logging
import yaml
from itertools import izip
import ratatosk.lib.align.bwa as BWA
import ratatosk.lib.tools.samtools as SAM
import ratatosk.lib.files.fastq as FASTQ
import ratatosk.lib.tools.picard as PICARD
import ratatosk.lib.tools.gatk as GATK
import rata... | 0.404507 | 0.146484 |