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 argparse
class Env():
def __init__(self, W, F, K, Dn, Cn, f, dist, pn, pi):
# W 带宽 10 MHz
# F 边缘服务器总计算能力
# K 用户数量
# Dn, Cn 任务量大小，所需cpu周期数, (300~500kb), (900, 1100)兆周期数 1Mhz = 1000khz = 1000*1000hz
# f 用户本地计算能力 1GHz/s | [0.5, 1.5]GHz/s (1000*1000*10... | mec.py | import numpy as np
import argparse
class Env():
def __init__(self, W, F, K, Dn, Cn, f, dist, pn, pi):
# W 带宽 10 MHz
# F 边缘服务器总计算能力
# K 用户数量
# Dn, Cn 任务量大小，所需cpu周期数, (300~500kb), (900, 1100)兆周期数 1Mhz = 1000khz = 1000*1000hz
# f 用户本地计算能力 1GHz/s | [0.5, 1.5]GHz/s (1000*1000*10... | 0.215846 | 0.284635 |
import pytest
import redis
import random
from threading import Thread
from time import sleep
from utils import Env, Refresh_Cluster
from test_helper_classes import _get_series_value, calc_rule, ALLOWED_ERROR, _insert_data, \
_get_ts_info, _insert_agg_data
from includes import *
def testLibmrFail():
env = Env(... | tests/flow/test_ts_libmr_failiure.py | import pytest
import redis
import random
from threading import Thread
from time import sleep
from utils import Env, Refresh_Cluster
from test_helper_classes import _get_series_value, calc_rule, ALLOWED_ERROR, _insert_data, \
_get_ts_info, _insert_agg_data
from includes import *
def testLibmrFail():
env = Env(... | 0.275422 | 0.322873 |
from __future__ import print_function
import unittest
import uuid
from biggraphite import metric as bg_metric
from biggraphite.drivers import _downsampling as bg_ds
from tests import test_utils
test_utils.setup_logging()
class TestDownsampler(unittest.TestCase):
METRIC_NAME_SUM = "test.metric.sum"
METRIC_... | tests/drivers/test_drivers_downsampling.py |
from __future__ import print_function
import unittest
import uuid
from biggraphite import metric as bg_metric
from biggraphite.drivers import _downsampling as bg_ds
from tests import test_utils
test_utils.setup_logging()
class TestDownsampler(unittest.TestCase):
METRIC_NAME_SUM = "test.metric.sum"
METRIC_... | 0.916332 | 0.456289 |
import reframe.utility.sanity as sn
import reframe as rfm
@rfm.parameterized_test(['peerAccess'], ['noPeerAccess'])
class P2pBandwidthCheck(rfm.RegressionTest):
def __init__(self, peerAccess):
self.valid_systems = ['cannon:local-gpu','cannon:gpu_test','fasse:fasse_gpu','test:gpu']
self.valid_prog... | checks/microbenchmarks/gpu/memory_bandwidth/p2p_bandwidth.py |
import reframe.utility.sanity as sn
import reframe as rfm
@rfm.parameterized_test(['peerAccess'], ['noPeerAccess'])
class P2pBandwidthCheck(rfm.RegressionTest):
def __init__(self, peerAccess):
self.valid_systems = ['cannon:local-gpu','cannon:gpu_test','fasse:fasse_gpu','test:gpu']
self.valid_prog... | 0.426799 | 0.227695 |
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import os
import json
import pytest
import sys
if sys.version_info < (2, 7):
pytestmark = pytest.mark.skip("F5 Ansible modules require Python >= 2.7")
from ansible.module_utils.basic import AnsibleModule
from ansible_collec... | venv/lib/python3.6/site-packages/ansible_collections/f5networks/f5_modules/tests/unit/modules/network/f5/test_bigip_dns_cache_resolver.py |
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import os
import json
import pytest
import sys
if sys.version_info < (2, 7):
pytestmark = pytest.mark.skip("F5 Ansible modules require Python >= 2.7")
from ansible.module_utils.basic import AnsibleModule
from ansible_collec... | 0.505859 | 0.226473 |
import subprocess
from charmhelpers.core import hookenv
def generate_selfsigned(keyfile, certfile, keysize="1024", config=None, subject=None, cn=None):
"""Generate selfsigned SSL key pair
You must provide one of the 3 optional arguments:
config, subject or cn
If more than one is provided the leftmos... | charmhelpers/contrib/ssl/__init__.py |
import subprocess
from charmhelpers.core import hookenv
def generate_selfsigned(keyfile, certfile, keysize="1024", config=None, subject=None, cn=None):
"""Generate selfsigned SSL key pair
You must provide one of the 3 optional arguments:
config, subject or cn
If more than one is provided the leftmos... | 0.518546 | 0.134349 |
from __future__ import annotations
from homeassistant.components.sensor import (
DEVICE_CLASS_TEMPERATURE,
STATE_CLASS_MEASUREMENT,
SensorEntity,
)
from homeassistant.const import TEMP_CELSIUS
from homeassistant.core import HomeAssistant
from homeassistant.helpers.entity import DeviceInfo
from homeassistan... | custom_components/senz/sensor.py | from __future__ import annotations
from homeassistant.components.sensor import (
DEVICE_CLASS_TEMPERATURE,
STATE_CLASS_MEASUREMENT,
SensorEntity,
)
from homeassistant.const import TEMP_CELSIUS
from homeassistant.core import HomeAssistant
from homeassistant.helpers.entity import DeviceInfo
from homeassistan... | 0.84572 | 0.119794 |
import json
class InvalidTypeException(Exception):
pass
class ConfigField:
def __init__(self, name, default, type):
self.name = name
self.default = default
self.type = type
self.value = default
@property
def value(self):
return self._value
@value.setter
... | modular_conf/fields.py | import json
class InvalidTypeException(Exception):
pass
class ConfigField:
def __init__(self, name, default, type):
self.name = name
self.default = default
self.type = type
self.value = default
@property
def value(self):
return self._value
@value.setter
... | 0.652795 | 0.124719 |
import argparse
from decomp import main as decomp, _str2bool
from sample import main as sample
from draw import main as draw
from vocab import vocab
def get_parser():
parser = argparse.ArgumentParser(
description=
'tool for analyze (parallel / non-parallel) translation corpus.')
subparsers = ... | textprep.py | import argparse
from decomp import main as decomp, _str2bool
from sample import main as sample
from draw import main as draw
from vocab import vocab
def get_parser():
parser = argparse.ArgumentParser(
description=
'tool for analyze (parallel / non-parallel) translation corpus.')
subparsers = ... | 0.582847 | 0.081813 |
import numpy as np
import glob
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
import warnings
warnings.filterwarnings("ignore")
import matplotlib
mpl.rcParams.update({
"font.size": 34.0,
"axes.titlesize": 34.0,
"axes.labelsize": 34.0,
... | output/python/plot_schwarzschild.py |
import numpy as np
import glob
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
import warnings
warnings.filterwarnings("ignore")
import matplotlib
mpl.rcParams.update({
"font.size": 34.0,
"axes.titlesize": 34.0,
"axes.labelsize": 34.0,
... | 0.402275 | 0.455441 |
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import os
import textwrap
from twitter.common.confluence import Confluence, ConfluenceError
from pants.backend.core.targets.doc import Page
from pants.backend.core.... | src/python/pants/backend/core/tasks/confluence_publish.py |
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import os
import textwrap
from twitter.common.confluence import Confluence, ConfluenceError
from pants.backend.core.targets.doc import Page
from pants.backend.core.... | 0.44553 | 0.140013 |
import tensorflow as tf
import numpy as np
import base64
from tensorflow.saved_model import simple_save
from tensorflow.python.saved_model import builder as saved_model_builder
from tensorflow.python.saved_model.signature_def_utils\
import predict_signature_def
from tensorflow.python.saved_model.tag_constants impo... | face_detector.py | import tensorflow as tf
import numpy as np
import base64
from tensorflow.saved_model import simple_save
from tensorflow.python.saved_model import builder as saved_model_builder
from tensorflow.python.saved_model.signature_def_utils\
import predict_signature_def
from tensorflow.python.saved_model.tag_constants impo... | 0.681409 | 0.288964 |
from . import db
from werkzeug.security import generate_password_hash,check_password_hash
from flask_login import UserMixin
from . import login_manager
from datetime import datetime
from sqlalchemy import desc
@login_manager.user_loader
def load_user(user_id):
return User.query.get(int(user_id))
class User(UserMi... | app/models.py | from . import db
from werkzeug.security import generate_password_hash,check_password_hash
from flask_login import UserMixin
from . import login_manager
from datetime import datetime
from sqlalchemy import desc
@login_manager.user_loader
def load_user(user_id):
return User.query.get(int(user_id))
class User(UserMi... | 0.418459 | 0.053428 |
import json
import os
import time
import threading
from collections import namedtuple
from types import FunctionType
from mindspore import log as logger
from mindspore._c_expression import MSContext, ms_ctx_param
from mindspore._checkparam import args_type_check, Validator, args_unreset_check
from mindspore.parallel._... | mindspore/context.py | import json
import os
import time
import threading
from collections import namedtuple
from types import FunctionType
from mindspore import log as logger
from mindspore._c_expression import MSContext, ms_ctx_param
from mindspore._checkparam import args_type_check, Validator, args_unreset_check
from mindspore.parallel._... | 0.667473 | 0.101456 |
"""Tests for substrate."""
import dataclasses
from absl.testing import absltest
from absl.testing import parameterized
import dm_env
import numpy as np
from meltingpot.python import substrate
REWARD_SPEC = dm_env.specs.Array(shape=[], dtype=np.float64, name='REWARD')
ACTION_SPEC = dm_env.specs.DiscreteArray(
nu... | meltingpot/python/substrate_test.py | """Tests for substrate."""
import dataclasses
from absl.testing import absltest
from absl.testing import parameterized
import dm_env
import numpy as np
from meltingpot.python import substrate
REWARD_SPEC = dm_env.specs.Array(shape=[], dtype=np.float64, name='REWARD')
ACTION_SPEC = dm_env.specs.DiscreteArray(
nu... | 0.641422 | 0.464112 |
import sys
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
import seaborn as sns
PI = 3.1415926535897
def main():
K = int(args[2])
cancer_type_list = load_types(args[1])
cancer_type_num = []
for x in cancer_type_list:
File = open('data/data' + args[1] + '_' + x + '.txt', '... | Drawing/draw_alpha.py | import sys
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
import seaborn as sns
PI = 3.1415926535897
def main():
K = int(args[2])
cancer_type_list = load_types(args[1])
cancer_type_num = []
for x in cancer_type_list:
File = open('data/data' + args[1] + '_' + x + '.txt', '... | 0.075833 | 0.28951 |
import os
import xgboost as xgb
from time_series_detector.feature import feature_service
from time_series_detector.common.tsd_errorcode import *
from time_series_detector.common.tsd_common import *
MODEL_PATH = os.path.join(os.path.dirname(__file__), '../model/')
DEFAULT_MODEL = MODEL_PATH + "xgb_default_model"
class... | time_series_detector/algorithm/xgboosting.py | import os
import xgboost as xgb
from time_series_detector.feature import feature_service
from time_series_detector.common.tsd_errorcode import *
from time_series_detector.common.tsd_common import *
MODEL_PATH = os.path.join(os.path.dirname(__file__), '../model/')
DEFAULT_MODEL = MODEL_PATH + "xgb_default_model"
class... | 0.741112 | 0.461502 |
import torch
"""
checkpoint and state generation
"""
from ..databases.restarter import Restartable
DEFAULT_STRUCTURE_FNAME= 'experiment_structure.pt'
def create_state(model,controller,metric_tracker):
"""
Create an experiment state dictionary.
:param model:
:param controller:
:param metric_tracke... | hippynn/experiment/serialization.py | import torch
"""
checkpoint and state generation
"""
from ..databases.restarter import Restartable
DEFAULT_STRUCTURE_FNAME= 'experiment_structure.pt'
def create_state(model,controller,metric_tracker):
"""
Create an experiment state dictionary.
:param model:
:param controller:
:param metric_tracke... | 0.851459 | 0.472927 |
from collections import defaultdict, deque
import datetime
import logging
import threading
import weakref
import tornado.locks
from tornado import gen
from .core import CommClosedError
from .utils import sync
from .protocol.serialize import to_serialize
logger = logging.getLogger(__name__)
class PubSubSchedulerExt... | distributed/pubsub.py | from collections import defaultdict, deque
import datetime
import logging
import threading
import weakref
import tornado.locks
from tornado import gen
from .core import CommClosedError
from .utils import sync
from .protocol.serialize import to_serialize
logger = logging.getLogger(__name__)
class PubSubSchedulerExt... | 0.487551 | 0.07971 |
import itertools
from typing import Dict, Iterator, Optional, Tuple, Type, TypeVar, Union
from .. import (
SPECIFIED_DIRECTIVES,
Directive,
EnumType,
Field,
GraphQLType,
InputObjectType,
InterfaceType,
ListType,
NamedType,
NonNullType,
ObjectType,
Schema,
UnionType,
... | src/py_gql/schema/differ/__init__.py | import itertools
from typing import Dict, Iterator, Optional, Tuple, Type, TypeVar, Union
from .. import (
SPECIFIED_DIRECTIVES,
Directive,
EnumType,
Field,
GraphQLType,
InputObjectType,
InterfaceType,
ListType,
NamedType,
NonNullType,
ObjectType,
Schema,
UnionType,
... | 0.743727 | 0.224565 |
from __future__ import print_function
import os
import numpy as np
import networkx as nx
from utils import common_utils
def read_graph(dataset, is_weighted, is_directed, num_classes):
'''
Reads the graph structure using networkx.
# Arguments
dataset: Name of the dataset
is_weighted: set ... | src/utils/graph_utils.py | from __future__ import print_function
import os
import numpy as np
import networkx as nx
from utils import common_utils
def read_graph(dataset, is_weighted, is_directed, num_classes):
'''
Reads the graph structure using networkx.
# Arguments
dataset: Name of the dataset
is_weighted: set ... | 0.743634 | 0.486027 |
class InputStream:
def __init__(self, _input):
self.input = _input
self.pos = 0
self.line = 1
self.col = 0
def next(self):
ch = self.input[self.pos]
self.pos += 1
if ch == '\n':
self.line += 1
self.col = 0
else:
... | python/parser.py | class InputStream:
def __init__(self, _input):
self.input = _input
self.pos = 0
self.line = 1
self.col = 0
def next(self):
ch = self.input[self.pos]
self.pos += 1
if ch == '\n':
self.line += 1
self.col = 0
else:
... | 0.529263 | 0.339992 |
import pytest
from bondhon import bijoy_classic
def test_swap_kar_location():
assert bijoy_classic.swap_kar_location('আমি') == 'আিম'
@pytest.mark.parametrize('given,expected', [
('১', '1'),
('২', '2'),
('৩', '3'),
('৪', '4'),
('৫', '5'),
('৬', '6'),
('৭', '7'),
('৮', '8'),
(... | tests/test_bijoy_from_unicode.py | import pytest
from bondhon import bijoy_classic
def test_swap_kar_location():
assert bijoy_classic.swap_kar_location('আমি') == 'আিম'
@pytest.mark.parametrize('given,expected', [
('১', '1'),
('২', '2'),
('৩', '3'),
('৪', '4'),
('৫', '5'),
('৬', '6'),
('৭', '7'),
('৮', '8'),
(... | 0.343562 | 0.402333 |
from dash.dependencies import Input, Output
# Plotly graph objects to render graph plots
import plotly.graph_objects as go
import plotly.express as px
from plotly.subplots import make_subplots
# Import dash html, bootstrap components, and tables for datatables
from dash import html
import dash_bootstrap_components as... | callbacks.py | from dash.dependencies import Input, Output
# Plotly graph objects to render graph plots
import plotly.graph_objects as go
import plotly.express as px
from plotly.subplots import make_subplots
# Import dash html, bootstrap components, and tables for datatables
from dash import html
import dash_bootstrap_components as... | 0.711331 | 0.371707 |
import datetime
from oslo_serialization import jsonutils
import six
from manila.scheduler import scheduler_options
from manila import test
class FakeSchedulerOptions(scheduler_options.SchedulerOptions):
def __init__(self, last_checked, now, file_old, file_now, data, filedata):
super(FakeSchedulerOptions... | manila/tests/scheduler/test_scheduler_options.py | import datetime
from oslo_serialization import jsonutils
import six
from manila.scheduler import scheduler_options
from manila import test
class FakeSchedulerOptions(scheduler_options.SchedulerOptions):
def __init__(self, last_checked, now, file_old, file_now, data, filedata):
super(FakeSchedulerOptions... | 0.511473 | 0.3229 |
from azure.cli.core.commands import CliCommandType
def load_command_table(self, _):
from azext_diskpool.generated._client_factory import cf_disk_pool
diskpool_disk_pool = CliCommandType(
operations_tmpl='azext_diskpool.vendored_sdks.storagepool.operations._disk_pools_operations#DiskPoolsOperations'
... | src/diskpool/azext_diskpool/generated/commands.py |
from azure.cli.core.commands import CliCommandType
def load_command_table(self, _):
from azext_diskpool.generated._client_factory import cf_disk_pool
diskpool_disk_pool = CliCommandType(
operations_tmpl='azext_diskpool.vendored_sdks.storagepool.operations._disk_pools_operations#DiskPoolsOperations'
... | 0.442516 | 0.061904 |
import tinctest
import os
from mpp.models import SQLTestCase
from tinctest.lib import run_shell_command, local_path, Gpdiff
from mpp.lib.PSQL import PSQL
MYD = os.path.abspath(os.path.dirname(__file__))
GPHOME = os.environ['GPHOME']
class EnhancedTableFunctionTest(SQLTestCase):
"""
@description This contai... | src/test/tinc/tincrepo/mpp/gpdb/tests/catalog/schema_topology/test_ST_EnhancedTableFunctionTest.py | import tinctest
import os
from mpp.models import SQLTestCase
from tinctest.lib import run_shell_command, local_path, Gpdiff
from mpp.lib.PSQL import PSQL
MYD = os.path.abspath(os.path.dirname(__file__))
GPHOME = os.environ['GPHOME']
class EnhancedTableFunctionTest(SQLTestCase):
"""
@description This contai... | 0.296756 | 0.185246 |
import argparse
import logging
import os
import sys
import OpenSSL
import zope.component
from letsencrypt import account
from letsencrypt import configuration
from letsencrypt import constants
from letsencrypt import colored_logging
from letsencrypt import cli
from letsencrypt import client
from letsencrypt import cr... | letsencrypt/renewer.py | import argparse
import logging
import os
import sys
import OpenSSL
import zope.component
from letsencrypt import account
from letsencrypt import configuration
from letsencrypt import constants
from letsencrypt import colored_logging
from letsencrypt import cli
from letsencrypt import client
from letsencrypt import cr... | 0.309441 | 0.099426 |
from ..remote import RemoteModel
from infoblox_netmri.utils.utils import check_api_availability
class IfPerfHourlyRemote(RemoteModel):
"""
This table list out the entries of interface hourly performance.
| ``DataSourceID:`` The internal NetMRI identifier for the collector NetMRI that collected this... | infoblox_netmri/api/remote/models/if_perf_hourly_remote.py | from ..remote import RemoteModel
from infoblox_netmri.utils.utils import check_api_availability
class IfPerfHourlyRemote(RemoteModel):
"""
This table list out the entries of interface hourly performance.
| ``DataSourceID:`` The internal NetMRI identifier for the collector NetMRI that collected this... | 0.691289 | 0.582194 |
from lark import Lark, Transformer, Tree, Token
from collections import namedtuple
import typing
import json
BNF = r'''
OCTALDIGIT: "0..7"
IDENT: ( "_" )* LETTER ( LETTER | DECIMALDIGIT | "_" )*
FULLIDENT: IDENT ( "." IDENT )*
MESSAGENAME: IDENT
ENUMNAME: IDENT
FIELDNAME: IDENT
ONEOFNAME: IDENT
MAPNAME: IDENT
SERVICEN... | protoparser/parser.py | from lark import Lark, Transformer, Tree, Token
from collections import namedtuple
import typing
import json
BNF = r'''
OCTALDIGIT: "0..7"
IDENT: ( "_" )* LETTER ( LETTER | DECIMALDIGIT | "_" )*
FULLIDENT: IDENT ( "." IDENT )*
MESSAGENAME: IDENT
ENUMNAME: IDENT
FIELDNAME: IDENT
ONEOFNAME: IDENT
MAPNAME: IDENT
SERVICEN... | 0.562297 | 0.113236 |
from functools import wraps
from itertools import takewhile
class Combinators(object):
def __init__(self, value):
self._value = value
def K(self, f, *args, **kwargs):
"""The Kestrel combinator, invokes a method, and returns the original value"""
if callable(f):
f(self._va... | combinators.py | from functools import wraps
from itertools import takewhile
class Combinators(object):
def __init__(self, value):
self._value = value
def K(self, f, *args, **kwargs):
"""The Kestrel combinator, invokes a method, and returns the original value"""
if callable(f):
f(self._va... | 0.661048 | 0.227255 |
"""Generate pynessie docs script."""
import os
from pathlib import Path
from typing import IO, List, Optional
from click import Group
from click.testing import CliRunner
from pynessie import cli
PATH_DOCS = "docs"
def generate_docs() -> None:
"""Generate all the commands docs."""
print("Generating docs....... | python/tools/generate_docs.py | """Generate pynessie docs script."""
import os
from pathlib import Path
from typing import IO, List, Optional
from click import Group
from click.testing import CliRunner
from pynessie import cli
PATH_DOCS = "docs"
def generate_docs() -> None:
"""Generate all the commands docs."""
print("Generating docs....... | 0.778649 | 0.279122 |
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.mlab import csv2rec
import scipy.stats.distributions as dist
from nitime.timeseries import TimeSeries
from nitime import utils
import nitime.algorithms as alg
import nitime.viz
from nitime.viz import drawmatrix_channels
from nitime.analysis import Cohe... | doc/examples/multi_taper_coh.py | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.mlab import csv2rec
import scipy.stats.distributions as dist
from nitime.timeseries import TimeSeries
from nitime import utils
import nitime.algorithms as alg
import nitime.viz
from nitime.viz import drawmatrix_channels
from nitime.analysis import Cohe... | 0.657209 | 0.741768 |
import logging
from fvcore.common.config import CfgNode as _CfgNode
class CfgNode(_CfgNode):
"""
The same as `fvcore.common.config.CfgNode`, but different in:
1. Use unsafe yaml loading by default.
Note that this may lead to arbitrary code execution: you must not
load a config file from untr... | detectron2/config/config.py |
import logging
from fvcore.common.config import CfgNode as _CfgNode
class CfgNode(_CfgNode):
"""
The same as `fvcore.common.config.CfgNode`, but different in:
1. Use unsafe yaml loading by default.
Note that this may lead to arbitrary code execution: you must not
load a config file from untr... | 0.75101 | 0.192824 |
import pytest
import pybnesian as pbn
from pybnesian import FactorType, Factor
def test_factor_type():
lg1 = pbn.LinearGaussianCPD("a", [])
lg2 = pbn.LinearGaussianCPD("b", ["a"])
lg3 = pbn.LinearGaussianCPD("c", ["b", "a"])
assert lg1.type() == pbn.LinearGaussianCPDType()
assert lg1.type() == lg2... | tests/factors/factor_type_test.py | import pytest
import pybnesian as pbn
from pybnesian import FactorType, Factor
def test_factor_type():
lg1 = pbn.LinearGaussianCPD("a", [])
lg2 = pbn.LinearGaussianCPD("b", ["a"])
lg3 = pbn.LinearGaussianCPD("c", ["b", "a"])
assert lg1.type() == pbn.LinearGaussianCPDType()
assert lg1.type() == lg2... | 0.79166 | 0.844697 |
import argparse
import os
import re
import glob
import shutil
import subprocess as sp
from tempfile import TemporaryDirectory
from contextlib import contextmanager
# YAML imports
try:
import yaml # PyYAML
loader = yaml.load
except ImportError:
try:
import ruamel_yaml as yaml # Ruamel YAML
exce... | devtools/scripts/create_conda_env.py | import argparse
import os
import re
import glob
import shutil
import subprocess as sp
from tempfile import TemporaryDirectory
from contextlib import contextmanager
# YAML imports
try:
import yaml # PyYAML
loader = yaml.load
except ImportError:
try:
import ruamel_yaml as yaml # Ruamel YAML
exce... | 0.446495 | 0.114567 |
from hashlib import sha512
from openprocurement.api.utils import (
json_view,
APIResource,
save_tender,
ROUTE_PREFIX,
context_unpack
)
from openprocurement.tender.openeu.utils import qualifications_resource
from openprocurement.relocation.api.utils import (
extract_transfer, update_ownership, sa... | openprocurement/relocation/api/views/qualification_complaint.py | from hashlib import sha512
from openprocurement.api.utils import (
json_view,
APIResource,
save_tender,
ROUTE_PREFIX,
context_unpack
)
from openprocurement.tender.openeu.utils import qualifications_resource
from openprocurement.relocation.api.utils import (
extract_transfer, update_ownership, sa... | 0.388038 | 0.106784 |
import os
import platform
import shutil
import typer
import flybirds.template as template
import flybirds.utils.flybirds_log as log
from flybirds.utils.file_helper import get_files_from_dir, \
get_paths_from_dir, \
replace_file_content, update, update_json_data
from flybirds.utils.pkg_helper import find_packa... | flybirds/cli/create_project.py | import os
import platform
import shutil
import typer
import flybirds.template as template
import flybirds.utils.flybirds_log as log
from flybirds.utils.file_helper import get_files_from_dir, \
get_paths_from_dir, \
replace_file_content, update, update_json_data
from flybirds.utils.pkg_helper import find_packa... | 0.160595 | 0.077553 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import glob
import os
import re
import librosa
from magenta.models.onsets_frames_transcription import create_dataset_util
from magenta.music import audio_io
from magenta.music import midi_io
from magenta.music... | magenta/models/onsets_frames_transcription/onsets_frames_transcription_create_dataset.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import glob
import os
import re
import librosa
from magenta.models.onsets_frames_transcription import create_dataset_util
from magenta.music import audio_io
from magenta.music import midi_io
from magenta.music... | 0.727685 | 0.124745 |
from __future__ import absolute_import, print_function
import tensorflow as tf
from tensorflow.contrib.layers.python.layers import regularizers
from niftynet.network.vnet import VNet
from tests.niftynet_testcase import NiftyNetTestCase
class VNetTest(NiftyNetTestCase):
def test_3d_shape(self):
input_sha... | tests/vnet_test.py | from __future__ import absolute_import, print_function
import tensorflow as tf
from tensorflow.contrib.layers.python.layers import regularizers
from niftynet.network.vnet import VNet
from tests.niftynet_testcase import NiftyNetTestCase
class VNetTest(NiftyNetTestCase):
def test_3d_shape(self):
input_sha... | 0.537527 | 0.253503 |
import os
import os.path as op
from subprocess import check_output
from six.moves import urllib
from zipfile import ZipFile
import tarfile
import logging
from math import log, ceil
import time
import sys
import shutil
import tempfile
import ftplib
from functools import partial
from tqdm import tqdm
if sys.version_info... | python/download/download.py | import os
import os.path as op
from subprocess import check_output
from six.moves import urllib
from zipfile import ZipFile
import tarfile
import logging
from math import log, ceil
import time
import sys
import shutil
import tempfile
import ftplib
from functools import partial
from tqdm import tqdm
if sys.version_info... | 0.451327 | 0.22595 |
import os
import sys
import pandas as pd
import numpy as np
from sklearn.decomposition import IncrementalPCA, PCA
import random
import pickle
import matplotlib.pyplot as plt
import time
from multiprocessing import Process, Manager
import subprocess
# input_path = "/shares/perception-temp/voxceleb2/facemesh/train/"
# o... | bert/preprocess/convert_pca.py | import os
import sys
import pandas as pd
import numpy as np
from sklearn.decomposition import IncrementalPCA, PCA
import random
import pickle
import matplotlib.pyplot as plt
import time
from multiprocessing import Process, Manager
import subprocess
# input_path = "/shares/perception-temp/voxceleb2/facemesh/train/"
# o... | 0.252016 | 0.189427 |
import dbutils
import htmlutils
import page.utils
def renderSearch(req, db, user):
summary_value = req.getParameter("summary", None)
summary_mode_value = req.getParameter("summarymode", None)
branch_value = req.getParameter("branch", None)
owner_value = req.getParameter("owner", None)
path_value =... | page/search.py |
import dbutils
import htmlutils
import page.utils
def renderSearch(req, db, user):
summary_value = req.getParameter("summary", None)
summary_mode_value = req.getParameter("summarymode", None)
branch_value = req.getParameter("branch", None)
owner_value = req.getParameter("owner", None)
path_value =... | 0.352425 | 0.064212 |
import discord
import os
import traceback
import sys
from discord.ext import commands
from utils import usefull
# Based off of https://github.com/AlexFlipnote/discord_bot.py/blob/master/utils/permissions.py
owners = [os.getenv("OWNER_ID")]
c = usefull.colors
def is_owner(ctx):
return ctx.author.id in owners
# Cus... | utils/permissions.py | import discord
import os
import traceback
import sys
from discord.ext import commands
from utils import usefull
# Based off of https://github.com/AlexFlipnote/discord_bot.py/blob/master/utils/permissions.py
owners = [os.getenv("OWNER_ID")]
c = usefull.colors
def is_owner(ctx):
return ctx.author.id in owners
# Cus... | 0.371707 | 0.258891 |
import json
import sys
import unittest
from contextlib import contextmanager
if sys.version_info[0] < 3:
from StringIO import StringIO
else:
from io import StringIO
from mock import patch
from auth0_client.Auth0Client import Auth0Client as class_to_test
@contextmanager
def captured_output():
new_out, new... | test/test_rules_config.py | import json
import sys
import unittest
from contextlib import contextmanager
if sys.version_info[0] < 3:
from StringIO import StringIO
else:
from io import StringIO
from mock import patch
from auth0_client.Auth0Client import Auth0Client as class_to_test
@contextmanager
def captured_output():
new_out, new... | 0.14069 | 0.065485 |
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.event import listens_for
from indico.core.db import db
from indico.core.db.sqlalchemy import PyIntEnum
from indico.core.db.sqlalchemy.descriptions import DescriptionMixin, RenderMode
from indico.modules.events.surveys.fields import get_field_types
from ... | indico/modules/events/surveys/models/items.py |
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.event import listens_for
from indico.core.db import db
from indico.core.db.sqlalchemy import PyIntEnum
from indico.core.db.sqlalchemy.descriptions import DescriptionMixin, RenderMode
from indico.modules.events.surveys.fields import get_field_types
from ... | 0.743447 | 0.138753 |
import logging
import torch
class Client(object):
"""Simulated federated learning client."""
def __init__(self, client_id):
self.client_id = client_id
def __repr__(self):
return 'Client #{}: {} samples in labels: {}'.format(
self.client_id, len(self.data), set([label for _, l... | simulation/client.py | import logging
import torch
class Client(object):
"""Simulated federated learning client."""
def __init__(self, client_id):
self.client_id = client_id
def __repr__(self):
return 'Client #{}: {} samples in labels: {}'.format(
self.client_id, len(self.data), set([label for _, l... | 0.741861 | 0.243294 |
"""Library of compiler functions for usage in the native execution context."""
from absl import logging
from tensorflow_federated.python.core.api import computation_base
from tensorflow_federated.python.core.impl import computation_impl
from tensorflow_federated.python.core.impl.compiler import building_blocks
from t... | tensorflow_federated/python/core/backends/native/compiler.py | """Library of compiler functions for usage in the native execution context."""
from absl import logging
from tensorflow_federated.python.core.api import computation_base
from tensorflow_federated.python.core.impl import computation_impl
from tensorflow_federated.python.core.impl.compiler import building_blocks
from t... | 0.955569 | 0.520435 |
from collections import Counter
from pathlib import Path
from random import Random
from typing import List, Tuple, Iterable
import tqdm
from dp.model.model import ModelType
from dp.preprocessing.text import Preprocessor
from dp.utils.io import read_config, pickle_binary
from dp.utils.logging import get_logger
logger... | dp/preprocess.py | from collections import Counter
from pathlib import Path
from random import Random
from typing import List, Tuple, Iterable
import tqdm
from dp.model.model import ModelType
from dp.preprocessing.text import Preprocessor
from dp.utils.io import read_config, pickle_binary
from dp.utils.logging import get_logger
logger... | 0.829181 | 0.383786 |
import os.path as osp
from datasets.roidb import Roidb
from datasets.refer import Refer
from opt import parse_opt
import json
import io
opt = parse_opt()
opt = vars(opt)
class Refvg(object):
def __init__(self, split, model_method):
self._dataset = 'refvg'
self._imageset = 'vg'
self._spli... | lib/datasets/refvg.py | import os.path as osp
from datasets.roidb import Roidb
from datasets.refer import Refer
from opt import parse_opt
import json
import io
opt = parse_opt()
opt = vars(opt)
class Refvg(object):
def __init__(self, split, model_method):
self._dataset = 'refvg'
self._imageset = 'vg'
self._spli... | 0.548915 | 0.275094 |
import asyncio
import logging
import voluptuous as vol
from aiohttp import web
from homeassistant.components.climate import ATTR_CURRENT_TEMPERATURE
from homeassistant.components.http import HomeAssistantView
from homeassistant.const import (
EVENT_STATE_CHANGED, TEMP_FAHRENHEIT, CONTENT_TYPE_TEXT_PLAIN,
ATTR... | homeassistant/components/prometheus.py | import asyncio
import logging
import voluptuous as vol
from aiohttp import web
from homeassistant.components.climate import ATTR_CURRENT_TEMPERATURE
from homeassistant.components.http import HomeAssistantView
from homeassistant.const import (
EVENT_STATE_CHANGED, TEMP_FAHRENHEIT, CONTENT_TYPE_TEXT_PLAIN,
ATTR... | 0.609059 | 0.122078 |
from time import time, sleep
from datetime import datetime, timezone, timedelta
import json
import re
import random
import configparser
import telegram
from telegram.error import NetworkError, Unauthorized
import cotoha
class TelegramBot:
def __init__(self):
self.REPLY_SETTINGS = './reply.json'... | autoreply.py | from time import time, sleep
from datetime import datetime, timezone, timedelta
import json
import re
import random
import configparser
import telegram
from telegram.error import NetworkError, Unauthorized
import cotoha
class TelegramBot:
def __init__(self):
self.REPLY_SETTINGS = './reply.json'... | 0.285571 | 0.042029 |
import typing
from typing import List, Optional
from uuid import UUID
from marshmallow import fields
from commercetools import schemas, types
from commercetools.services import abstract
from commercetools.typing import OptionalListStr
__all__ = ["ProductService"]
class ProductDeleteSchema(abstract.AbstractDeleteSc... | src/commercetools/services/products.py | import typing
from typing import List, Optional
from uuid import UUID
from marshmallow import fields
from commercetools import schemas, types
from commercetools.services import abstract
from commercetools.typing import OptionalListStr
__all__ = ["ProductService"]
class ProductDeleteSchema(abstract.AbstractDeleteSc... | 0.791539 | 0.219819 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import time
from absl import app
from absl import flags
import absl.logging as _logging # pylint: disable=unused-import
import tensorflow as tf
import inception_preprocessing
import vgg_preprocessin... | models/experimental/inception/inception_v3.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import time
from absl import app
from absl import flags
import absl.logging as _logging # pylint: disable=unused-import
import tensorflow as tf
import inception_preprocessing
import vgg_preprocessin... | 0.680772 | 0.200812 |
import tensorflow as tf
import awesome_gans.modules as t
tf.set_random_seed(777) # reproducibility
class LSGAN:
def __init__(
self,
s,
batch_size=64,
height=32,
width=32,
channel=3,
n_classes=10,
sample_num=10 * 10,
sample_size=10,
... | awesome_gans/lsgan/lsgan_model.py | import tensorflow as tf
import awesome_gans.modules as t
tf.set_random_seed(777) # reproducibility
class LSGAN:
def __init__(
self,
s,
batch_size=64,
height=32,
width=32,
channel=3,
n_classes=10,
sample_num=10 * 10,
sample_size=10,
... | 0.845113 | 0.328826 |
import numpy as np
import acl
import atlas_utils.utils as utils
from atlas_utils.acl_image import AclImage
from atlas_utils.acl_logger import log_error, log_info
from atlas_utils.resource_list import resource_list
import atlas_utils.constants as constants
class Dvpp(object):
"""
dvpp class
"""
def _... | 3_inference/code/src/atlas_utils/acl_dvpp.py |
import numpy as np
import acl
import atlas_utils.utils as utils
from atlas_utils.acl_image import AclImage
from atlas_utils.acl_logger import log_error, log_info
from atlas_utils.resource_list import resource_list
import atlas_utils.constants as constants
class Dvpp(object):
"""
dvpp class
"""
def _... | 0.683102 | 0.117623 |
from numpy import ndarray
from livia.input.FrameInput import FrameInput
from livia.output.FrameOutput import FrameOutput
from livia.process.FrameProcessor import FrameProcessor
from livia.process.analyzer.FrameAnalyzer import FrameAnalyzer
from livia.process.analyzer.listener.FrameAnalyzerChangeEvent import FrameAnaly... | livia/process/analyzer/AnalyzerFrameProcessor.py | from numpy import ndarray
from livia.input.FrameInput import FrameInput
from livia.output.FrameOutput import FrameOutput
from livia.process.FrameProcessor import FrameProcessor
from livia.process.analyzer.FrameAnalyzer import FrameAnalyzer
from livia.process.analyzer.listener.FrameAnalyzerChangeEvent import FrameAnaly... | 0.768863 | 0.280358 |
from contextlib import suppress
from urllib.parse import quote, urljoin
import pytz
from django.conf import settings
from django.shortcuts import get_object_or_404, redirect, reverse
from django.urls import resolve
from django.utils import timezone, translation
from django.utils.translation.trans_real import (
get... | src/pretalx/common/middleware/event.py | from contextlib import suppress
from urllib.parse import quote, urljoin
import pytz
from django.conf import settings
from django.shortcuts import get_object_or_404, redirect, reverse
from django.urls import resolve
from django.utils import timezone, translation
from django.utils.translation.trans_real import (
get... | 0.563858 | 0.089614 |
import unittest
import shutil
import os
import logging
import pxelinux_cfg
import network_manager
import hw_node
logging.basicConfig(format='%(asctime)s | %(name)s | %(message)s',
level=logging.DEBUG)
tftp_cfg_dir = '/tmp/tftp'
pxelinux_cfg_dir = '/tmp/tftp/pxelinux_cfg'
class PxelinuxCfgTest(un... | test/test_pxelinux_cfg.py | import unittest
import shutil
import os
import logging
import pxelinux_cfg
import network_manager
import hw_node
logging.basicConfig(format='%(asctime)s | %(name)s | %(message)s',
level=logging.DEBUG)
tftp_cfg_dir = '/tmp/tftp'
pxelinux_cfg_dir = '/tmp/tftp/pxelinux_cfg'
class PxelinuxCfgTest(un... | 0.122839 | 0.158467 |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_in... | cmdb_sdk/api/instance/search_total_pb2.py |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_in... | 0.257952 | 0.111895 |
from __future__ import unicode_literals
from snapshottest import GenericRepr, Snapshot
snapshots = Snapshot()
snapshots['TestCreate.test[uvloop-none] 1'] = {
'all_read': True,
'all_write': True,
'created_at': '2015-10-06T20:00:00Z',
'files': [
{
'id': 'test.fq'
}
],
... | tests/samples/snapshots/snap_test_api.py | from __future__ import unicode_literals
from snapshottest import GenericRepr, Snapshot
snapshots = Snapshot()
snapshots['TestCreate.test[uvloop-none] 1'] = {
'all_read': True,
'all_write': True,
'created_at': '2015-10-06T20:00:00Z',
'files': [
{
'id': 'test.fq'
}
],
... | 0.411111 | 0.22213 |
import shutil
from typing import Mapping, Tuple, Optional
from rlbot.parsing.bot_config_bundle import BotConfigBundle
from rlbot.setup_manager import setup_manager_context
from rlbot.training.training import Fail
from rlbottraining.exercise_runner import run_playlist, RenderPolicy
from bots import BotID
from match im... | autoleague/match_runner.py | import shutil
from typing import Mapping, Tuple, Optional
from rlbot.parsing.bot_config_bundle import BotConfigBundle
from rlbot.setup_manager import setup_manager_context
from rlbot.training.training import Fail
from rlbottraining.exercise_runner import run_playlist, RenderPolicy
from bots import BotID
from match im... | 0.68215 | 0.242834 |
import Queue
import logging
import traceback
import threading
import pprint
import os
import ambari_simplejson as json
import time
from AgentException import AgentException
from LiveStatus import LiveStatus
from ActualConfigHandler import ActualConfigHandler
from CommandStatusDict import CommandStatusDict
from Custom... | ambari-agent/src/main/python/ambari_agent/ActionQueue.py | import Queue
import logging
import traceback
import threading
import pprint
import os
import ambari_simplejson as json
import time
from AgentException import AgentException
from LiveStatus import LiveStatus
from ActualConfigHandler import ActualConfigHandler
from CommandStatusDict import CommandStatusDict
from Custom... | 0.25618 | 0.045058 |
import random
import numpy as np
from sklearn.model_selection import train_test_split
def get_square(img, pos):
"""Extract a left or a right square from ndarray shape : (H, W, C))"""
h = img.shape[0]
if pos == 0:
return img[:, :h]
else:
return img[:, -h:]
def split_img_into_squares(img... | models/unet/utils/utils.py | import random
import numpy as np
from sklearn.model_selection import train_test_split
def get_square(img, pos):
"""Extract a left or a right square from ndarray shape : (H, W, C))"""
h = img.shape[0]
if pos == 0:
return img[:, :h]
else:
return img[:, -h:]
def split_img_into_squares(img... | 0.664214 | 0.491029 |
import numpy as np
import matplotlib.pyplot as plt
from .. import fig_to_dict
from numpy.testing import assert_equal
def test_line():
fig, ax = plt.subplots()
ax.plot(np.arange(10), np.random.random(10),
'--k', alpha=0.3, zorder=10, lw=2)
rep = fig_to_dict(fig)
axrep = rep['axes'][0]
l... | mpld3/tests/test_elements.py | import numpy as np
import matplotlib.pyplot as plt
from .. import fig_to_dict
from numpy.testing import assert_equal
def test_line():
fig, ax = plt.subplots()
ax.plot(np.arange(10), np.random.random(10),
'--k', alpha=0.3, zorder=10, lw=2)
rep = fig_to_dict(fig)
axrep = rep['axes'][0]
l... | 0.649245 | 0.786848 |
import unittest
import os
import json
from io import open
import warnings
from pymatgen.electronic_structure.bandstructure import Kpoint
from pymatgen import Lattice
from pymatgen.electronic_structure.core import Spin, Orbital
from pymatgen.io.vasp import BSVasprun
from pymatgen.electronic_structure.bandstructure im... | pymatgen/electronic_structure/tests/test_bandstructure.py |
import unittest
import os
import json
from io import open
import warnings
from pymatgen.electronic_structure.bandstructure import Kpoint
from pymatgen import Lattice
from pymatgen.electronic_structure.core import Spin, Orbital
from pymatgen.io.vasp import BSVasprun
from pymatgen.electronic_structure.bandstructure im... | 0.557845 | 0.570271 |
import requests
import sys
import urllib.parse
class StreamCamel:
def __fetch(self, url):
max_retry = 3
attempt = 1
while True:
try:
print("Fetch URL: {}".format(url))
r = requests.get(url = url, timeout=10)
break
excep... | streamcamel.py | import requests
import sys
import urllib.parse
class StreamCamel:
def __fetch(self, url):
max_retry = 3
attempt = 1
while True:
try:
print("Fetch URL: {}".format(url))
r = requests.get(url = url, timeout=10)
break
excep... | 0.262464 | 0.089654 |
# Import Python libs
import logging
import time
logger = logging.getLogger(__name__)
logging.getLogger('boto').setLevel(logging.INFO)
# Import third party libs
try:
import boto
import boto.dynamodb2
from boto.dynamodb2.fields import HashKey, RangeKey
from boto.dynamodb2.fields import AllIndex, GlobalA... | salt/modules/boto_dynamodb.py | # Import Python libs
import logging
import time
logger = logging.getLogger(__name__)
logging.getLogger('boto').setLevel(logging.INFO)
# Import third party libs
try:
import boto
import boto.dynamodb2
from boto.dynamodb2.fields import HashKey, RangeKey
from boto.dynamodb2.fields import AllIndex, GlobalA... | 0.396419 | 0.113826 |
import numpy as np
import re
import csv
class Data(object):
"""
Class to handle loading and processing of raw datasets.
"""
def __init__(self, data_source,
alphabet="abcdefghijklmnopqrstuvwxyz0123456789-,;.!?:'\"/\\|_@#$%^&*~`+-=<>()[]{}",
input_size=1014, num_of_clas... | data_utils.py | import numpy as np
import re
import csv
class Data(object):
"""
Class to handle loading and processing of raw datasets.
"""
def __init__(self, data_source,
alphabet="abcdefghijklmnopqrstuvwxyz0123456789-,;.!?:'\"/\\|_@#$%^&*~`+-=<>()[]{}",
input_size=1014, num_of_clas... | 0.84556 | 0.489626 |
import logging
from typing import TYPE_CHECKING, Tuple
from synapse.api.errors import Codes, ShadowBanError, SynapseError
from synapse.api.room_versions import KNOWN_ROOM_VERSIONS
from synapse.http.server import HttpServer
from synapse.http.servlet import (
RestServlet,
assert_params_in_dict,
parse_json_o... | synapse/rest/client/room_upgrade_rest_servlet.py |
import logging
from typing import TYPE_CHECKING, Tuple
from synapse.api.errors import Codes, ShadowBanError, SynapseError
from synapse.api.room_versions import KNOWN_ROOM_VERSIONS
from synapse.http.server import HttpServer
from synapse.http.servlet import (
RestServlet,
assert_params_in_dict,
parse_json_o... | 0.652795 | 0.133105 |
# vim: tabstop=4 shiftwidth=4 softtabstop=4
import unittest
import logging
from nose.tools import *
from ryu.base import app_manager
from ryu.controller import ofp_event
from ryu.controller.handler import (
set_ev_cls,
MAIN_DISPATCHER,
)
from ryu.lib.packet import vlan, ethernet, ipv4
from ryu.lib.ofp_pktin... | ryu/tests/unit/lib/test_ofp_pktinfilter.py |
# vim: tabstop=4 shiftwidth=4 softtabstop=4
import unittest
import logging
from nose.tools import *
from ryu.base import app_manager
from ryu.controller import ofp_event
from ryu.controller.handler import (
set_ev_cls,
MAIN_DISPATCHER,
)
from ryu.lib.packet import vlan, ethernet, ipv4
from ryu.lib.ofp_pktin... | 0.494873 | 0.117243 |
import os
from contextlib import contextmanager
from funcy import get_in
from dvc.exceptions import DvcException
class SCMError(DvcException):
"""Base class for source control management errors."""
class FileNotInRepoError(SCMError):
"""Thrown when trying to find .gitignore for a file that is not in a sc... | dvc/scm/base.py |
import os
from contextlib import contextmanager
from funcy import get_in
from dvc.exceptions import DvcException
class SCMError(DvcException):
"""Base class for source control management errors."""
class FileNotInRepoError(SCMError):
"""Thrown when trying to find .gitignore for a file that is not in a sc... | 0.867219 | 0.101947 |
import os
from ruamel import yaml
import great_expectations as ge
from great_expectations.core.batch import BatchRequest
context = ge.get_context()
datasource_yaml = f"""
name: taxi_datasource
class_name: Datasource
module_name: great_expectations.datasource
execution_engine:
module_name: great_expectations.execu... | tests/integration/docusaurus/connecting_to_your_data/how_to_introspect_and_partition_your_data/files/yaml_example.py | import os
from ruamel import yaml
import great_expectations as ge
from great_expectations.core.batch import BatchRequest
context = ge.get_context()
datasource_yaml = f"""
name: taxi_datasource
class_name: Datasource
module_name: great_expectations.datasource
execution_engine:
module_name: great_expectations.execu... | 0.624637 | 0.420838 |
from __future__ import unicode_literals
# Ensure 'pytest.raises' context manager support for Python 2.6
import pytest
import time
import json
import boto3
from botocore.exceptions import ClientError
import sure # noqa
from moto import mock_ec2, mock_iam, mock_cloudformation
def quick_instance_creation():
imag... | tests/test_ec2/test_iam_instance_profile_associations.py | from __future__ import unicode_literals
# Ensure 'pytest.raises' context manager support for Python 2.6
import pytest
import time
import json
import boto3
from botocore.exceptions import ClientError
import sure # noqa
from moto import mock_ec2, mock_iam, mock_cloudformation
def quick_instance_creation():
imag... | 0.606615 | 0.137619 |
import sys, os, os.path, re
__all__ = ['require']
_top = os.path.dirname(os.path.abspath(os.path.normpath(__file__)))
_pkg_cache = None
_import_cache = {}
_pat = re.compile('^([a-z]+)-([0-9]+).([0-9]+)$')
def _load_pkg_cache():
global _pkg_cache
if _pkg_cache is not None:
return _pkg_cache
_pkg_... | python/pkgloader.py | import sys, os, os.path, re
__all__ = ['require']
_top = os.path.dirname(os.path.abspath(os.path.normpath(__file__)))
_pkg_cache = None
_import_cache = {}
_pat = re.compile('^([a-z]+)-([0-9]+).([0-9]+)$')
def _load_pkg_cache():
global _pkg_cache
if _pkg_cache is not None:
return _pkg_cache
_pkg_... | 0.098285 | 0.072538 |
import os
from datetime import datetime, timedelta
import numpy
def salishseacast_paths(timestart, timeend, path, filetype):
"""Generate paths for Salish Seacast forcing
:arg timestart: date from when to start concatenating
:type string: :py:class:'str'
:arg timeend: date at which to stop concatena... | scripts/make-hdf5/forcing_paths.py | import os
from datetime import datetime, timedelta
import numpy
def salishseacast_paths(timestart, timeend, path, filetype):
"""Generate paths for Salish Seacast forcing
:arg timestart: date from when to start concatenating
:type string: :py:class:'str'
:arg timeend: date at which to stop concatena... | 0.647464 | 0.480235 |
import numpy as np
from sklearn.preprocessing import MaxAbsScaler, MinMaxScaler
from sklearn.preprocessing import RobustScaler, StandardScaler
from ..algebra.onnx_ops import OnnxSub, OnnxDiv, OnnxCast
from ..common._registration import register_converter
from ..common.data_types import guess_numpy_type, guess_proto_t... | skl2onnx/operator_converters/scaler_op.py |
import numpy as np
from sklearn.preprocessing import MaxAbsScaler, MinMaxScaler
from sklearn.preprocessing import RobustScaler, StandardScaler
from ..algebra.onnx_ops import OnnxSub, OnnxDiv, OnnxCast
from ..common._registration import register_converter
from ..common.data_types import guess_numpy_type, guess_proto_t... | 0.709019 | 0.262529 |
import numpy as np
from scipy.optimize import curve_fit
def sigmoid_fxn(x, b, r, m):
"""x can be a single value or a numpy array of x_values; b is the steepness; r is the max y_value of the curve; m is the x_value where the curve is at 50% height. The equation has been constrained such that the lower y_bound is al... | navargator_resources/curve_fitting.py | import numpy as np
from scipy.optimize import curve_fit
def sigmoid_fxn(x, b, r, m):
"""x can be a single value or a numpy array of x_values; b is the steepness; r is the max y_value of the curve; m is the x_value where the curve is at 50% height. The equation has been constrained such that the lower y_bound is al... | 0.836988 | 0.771801 |
from typing import Optional, Tuple
import torch
import torch.nn as nn
from kornia.testing import KORNIA_CHECK_SHAPE
def match_nn(
desc1: torch.Tensor, desc2: torch.Tensor, dm: Optional[torch.Tensor] = None
) -> Tuple[torch.Tensor, torch.Tensor]:
r"""Function, which finds nearest neighbors in desc2 for each ... | kornia/feature/matching.py | from typing import Optional, Tuple
import torch
import torch.nn as nn
from kornia.testing import KORNIA_CHECK_SHAPE
def match_nn(
desc1: torch.Tensor, desc2: torch.Tensor, dm: Optional[torch.Tensor] = None
) -> Tuple[torch.Tensor, torch.Tensor]:
r"""Function, which finds nearest neighbors in desc2 for each ... | 0.967884 | 0.782496 |
from django.core.management.base import BaseCommand, CommandError
from api.models import Subject, Course, Campus
import xml.etree.ElementTree as ET
import os
class Command(BaseCommand):
help = 'Populates the subjects table'
def handle(self, *args, **options):
dirr = os.path.dirname(__file__)
f... | api/management/commands/populatedb.py | from django.core.management.base import BaseCommand, CommandError
from api.models import Subject, Course, Campus
import xml.etree.ElementTree as ET
import os
class Command(BaseCommand):
help = 'Populates the subjects table'
def handle(self, *args, **options):
dirr = os.path.dirname(__file__)
f... | 0.257765 | 0.10725 |
import json
import numpy as np
from collections import OrderedDict
from src.evaluation.summary_loader import load_processed_dataset
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
sns.set()
sns.set_style("darkgrid")
videos = {}
x_axis = []
y_axis = []
original_splits = '../../results/TVSum... | src/visualization/visualize_fscores_differences.py | import json
import numpy as np
from collections import OrderedDict
from src.evaluation.summary_loader import load_processed_dataset
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
sns.set()
sns.set_style("darkgrid")
videos = {}
x_axis = []
y_axis = []
original_splits = '../../results/TVSum... | 0.22093 | 0.3217 |
from . import epanet2
from .objectcollection import ObjectCollection
from .baseobject import BaseObject, lazy_property
from .pattern import Pattern
class Node(BaseObject):
""" Base EPANET Node class """
static_properties = {'elevation': epanet2.EN_ELEVATION}
properties = {'head': epanet2.EN_HEAD, 'pressur... | epynet/node.py | from . import epanet2
from .objectcollection import ObjectCollection
from .baseobject import BaseObject, lazy_property
from .pattern import Pattern
class Node(BaseObject):
""" Base EPANET Node class """
static_properties = {'elevation': epanet2.EN_ELEVATION}
properties = {'head': epanet2.EN_HEAD, 'pressur... | 0.722037 | 0.207014 |
import re
import mindspore.nn as nn
from mindspore import context
from mindspore.ops import operations as P
from mindspore.ops import functional as F
from mindspore.ops import composite as C
from mindspore.common.tensor import Tensor
from mindspore.common import dtype as mstype
from mindspore.common.parameter import Pa... | model_zoo/official/nlp/tinybert/src/tinybert_for_gd_td.py | import re
import mindspore.nn as nn
from mindspore import context
from mindspore.ops import operations as P
from mindspore.ops import functional as F
from mindspore.ops import composite as C
from mindspore.common.tensor import Tensor
from mindspore.common import dtype as mstype
from mindspore.common.parameter import Pa... | 0.859251 | 0.328099 |
import netmiko
# configure command line arguements
import argparse
parser=argparse.ArgumentParser(description='Switch on and off preconfigured edge router firewall rules from command line')
parser.add_argument('-t', '--target', type=str, metavar='', required=False, help='The user being targeted')
group = parser.add_mu... | build/lib/venv/fireControlPkg/fireControl.py | import netmiko
# configure command line arguements
import argparse
parser=argparse.ArgumentParser(description='Switch on and off preconfigured edge router firewall rules from command line')
parser.add_argument('-t', '--target', type=str, metavar='', required=False, help='The user being targeted')
group = parser.add_mu... | 0.270769 | 0.108472 |
"""Builder function for image resizing operations."""
import functools
import tensorflow.compat.v1 as tf
from object_detection.core import preprocessor
from object_detection.protos import image_resizer_pb2
def _tf_resize_method(resize_method):
"""Maps image resize method from enumeration type to TensorFlow.
Arg... | src/object_detection/builders/image_resizer_builder.py | """Builder function for image resizing operations."""
import functools
import tensorflow.compat.v1 as tf
from object_detection.core import preprocessor
from object_detection.protos import image_resizer_pb2
def _tf_resize_method(resize_method):
"""Maps image resize method from enumeration type to TensorFlow.
Arg... | 0.946782 | 0.436922 |
from parglare import Parser, Grammar
from utils.rvs.expressions import RVFuncs
### Production rules for outer expressions, inner expressions, and events
expression_terminals = r"""
variable: /[#]?[a-zA-Z_$][a-zA-Z_$0-9]*/;
number: /\d+(\.\d+)?/;
"""
expression_productions = r"""
expr
: term
| expr '+' term
| ... | Python/utils/rvs/parser.py | from parglare import Parser, Grammar
from utils.rvs.expressions import RVFuncs
### Production rules for outer expressions, inner expressions, and events
expression_terminals = r"""
variable: /[#]?[a-zA-Z_$][a-zA-Z_$0-9]*/;
number: /\d+(\.\d+)?/;
"""
expression_productions = r"""
expr
: term
| expr '+' term
| ... | 0.355775 | 0.544922 |
import sys
import os
import glob
import datetime
import time
import yaml
from functools import cmp_to_key
from optparse import OptionParser
from urllib.parse import urlparse, urljoin
from util import CONFIG_YML, \
STANDARD_YML, \
AIRPORTS_YML, \
BADGES_YML, \
... | bin/preprocess.py | import sys
import os
import glob
import datetime
import time
import yaml
from functools import cmp_to_key
from optparse import OptionParser
from urllib.parse import urlparse, urljoin
from util import CONFIG_YML, \
STANDARD_YML, \
AIRPORTS_YML, \
BADGES_YML, \
... | 0.391406 | 0.140189 |
import os
import sys
import json
import pygal
import re
import urllib.request
USER = os.popen('cat ./_user.db').read() # Create _user.db with your username inside
PASS = os.popen('cat ./_pass.db').read() # Create _pass.db with your password inside
SVCGRP ... | api_example_python.py | import os
import sys
import json
import pygal
import re
import urllib.request
USER = os.popen('cat ./_user.db').read() # Create _user.db with your username inside
PASS = os.popen('cat ./_pass.db').read() # Create _pass.db with your password inside
SVCGRP ... | 0.211906 | 0.051774 |
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Provider'
db.create_table('activitysync_provider', (
('name', self.gf('django.db.models.fields.C... | activitysync/migrations/0002_auto__add_provider__add_field_activity_provider.py | import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Provider'
db.create_table('activitysync_provider', (
('name', self.gf('django.db.models.fields.C... | 0.353428 | 0.073897 |
from __future__ import print_function
import numpy as np
from wisdem.commonse.utilities import nodal2sectional
import openmdao.api as om
class CylindricalShellProperties(om.ExplicitComponent):
"""
OpenMDAO wrapper for tube class to obtain cylindrical sheel properties.
Parameters
----------
d : nu... | wisdem/commonse/cross_sections.py | from __future__ import print_function
import numpy as np
from wisdem.commonse.utilities import nodal2sectional
import openmdao.api as om
class CylindricalShellProperties(om.ExplicitComponent):
"""
OpenMDAO wrapper for tube class to obtain cylindrical sheel properties.
Parameters
----------
d : nu... | 0.918475 | 0.467332 |
import os
import re
from testrunner.local import testsuite
from testrunner.objects import testcase
ANY_JS = ".any.js"
WPT_ROOT = "/wasm/jsapi/"
META_SCRIPT_REGEXP = re.compile(r"META:\s*script=(.*)")
META_TIMEOUT_REGEXP = re.compile(r"META:\s*timeout=(.*)")
proposal_flags = [{
'name': 'js-types'... | test/wasm-js/testcfg.py |
import os
import re
from testrunner.local import testsuite
from testrunner.objects import testcase
ANY_JS = ".any.js"
WPT_ROOT = "/wasm/jsapi/"
META_SCRIPT_REGEXP = re.compile(r"META:\s*script=(.*)")
META_TIMEOUT_REGEXP = re.compile(r"META:\s*timeout=(.*)")
proposal_flags = [{
'name': 'js-types'... | 0.444565 | 0.126111 |
import unittest
from collections import OrderedDict
import numpy as np
from test_util import GenArgList, type_name_to_flow_type
import oneflow as flow
import oneflow.unittest
from oneflow.test_utils.automated_test_util import *
def _test_argsort(test_case, data_shape, axis, descending, data_type, device):
inpu... | python/oneflow/test/modules/test_argsort.py | import unittest
from collections import OrderedDict
import numpy as np
from test_util import GenArgList, type_name_to_flow_type
import oneflow as flow
import oneflow.unittest
from oneflow.test_utils.automated_test_util import *
def _test_argsort(test_case, data_shape, axis, descending, data_type, device):
inpu... | 0.54359 | 0.665302 |
import re
class MetaOperation(type):
"""
Metaclasse qui permet l'enregistrement de tous les classes qui héritent de la
classe Operation. À noter qu'il faut les importer avant MetaOperation pour qu'elles
soient disponibles dans le registre
"""
registry = {}
def __new__(cls, clsname, bases... | simulation/kanban.py | import re
class MetaOperation(type):
"""
Metaclasse qui permet l'enregistrement de tous les classes qui héritent de la
classe Operation. À noter qu'il faut les importer avant MetaOperation pour qu'elles
soient disponibles dans le registre
"""
registry = {}
def __new__(cls, clsname, bases... | 0.274838 | 0.166641 |
# Export this package's modules as members:
from ._enums import *
from .afd_custom_domain import *
from .afd_endpoint import *
from .afd_origin import *
from .afd_origin_group import *
from .custom_domain import *
from .endpoint import *
from .get_afd_custom_domain import *
from .get_afd_endpoint import *
from .get_af... | sdk/python/pulumi_azure_native/cdn/v20200901/__init__.py |
# Export this package's modules as members:
from ._enums import *
from .afd_custom_domain import *
from .afd_endpoint import *
from .afd_origin import *
from .afd_origin_group import *
from .custom_domain import *
from .endpoint import *
from .get_afd_custom_domain import *
from .get_afd_endpoint import *
from .get_af... | 0.399577 | 0.042842 |
from collections import OrderedDict
import pytest
from pandas.util._validators import validate_args_and_kwargs
_fname = "func"
def test_invalid_total_length_max_length_one():
compat_args = ("foo",)
kwargs = {"foo": "FOO"}
args = ("FoO", "BaZ")
min_fname_arg_count = 0
max_length = len(compat_ar... | pandas/tests/util/test_validate_args_and_kwargs.py | from collections import OrderedDict
import pytest
from pandas.util._validators import validate_args_and_kwargs
_fname = "func"
def test_invalid_total_length_max_length_one():
compat_args = ("foo",)
kwargs = {"foo": "FOO"}
args = ("FoO", "BaZ")
min_fname_arg_count = 0
max_length = len(compat_ar... | 0.703957 | 0.313906 |
import tifffile
import tqdm
import os
import numpy as np
import sys
from scandir import scandir
from multiprocessing import Pool
def split_image(img, psplit, add_bg):
img_int = img.astype(int)
img_int[img_int<0] = 0
return np.random.binomial(img_int, psplit) + np.random.poisson(add_bg*psplit,size=img.sha... | python/utils/tiff_split_signal_photons.py |
import tifffile
import tqdm
import os
import numpy as np
import sys
from scandir import scandir
from multiprocessing import Pool
def split_image(img, psplit, add_bg):
img_int = img.astype(int)
img_int[img_int<0] = 0
return np.random.binomial(img_int, psplit) + np.random.poisson(add_bg*psplit,size=img.sha... | 0.138491 | 0.157234 |
import sys
from pathlib import Path
from unittest import TestCase
import pytest
import yaml
from click.testing import CliRunner
from peekingduck.cli import cli
DEFAULT_NODES = ["input.visual", "model.yolo", "draw.bbox", "output.screen"]
GOOD_SUBDIR = "custom_nodes"
GOOD_TYPE = "dabble"
GOOD_NAME = "name"
PROJECT_DI... | tests/cli/test_cli_create_node.py |
import sys
from pathlib import Path
from unittest import TestCase
import pytest
import yaml
from click.testing import CliRunner
from peekingduck.cli import cli
DEFAULT_NODES = ["input.visual", "model.yolo", "draw.bbox", "output.screen"]
GOOD_SUBDIR = "custom_nodes"
GOOD_TYPE = "dabble"
GOOD_NAME = "name"
PROJECT_DI... | 0.322099 | 0.212732 |
import urllib3
import json
import nb_log
import decorator_libs
# https://www.cnblogs.com/YrRoom/p/14054282.html
"""
-p 18083 服务器启动端口
-p 1882 TCP端口
-p 8083 WS端口
-p 8084 WSS端口
-p 8883 SSL端口
"""
"""
非常适合 前端订阅唯一uuid的topic 然后表单中带上这个topic名字请求python接口 -> 接口中发布任务到rabbitmq或redis消息队列 ->
后台消费进程执行任务消费,并将结果发布到mqtt的那个唯一uuid的topic... | funboost/utils/mqtt_util.py | import urllib3
import json
import nb_log
import decorator_libs
# https://www.cnblogs.com/YrRoom/p/14054282.html
"""
-p 18083 服务器启动端口
-p 1882 TCP端口
-p 8083 WS端口
-p 8084 WSS端口
-p 8883 SSL端口
"""
"""
非常适合 前端订阅唯一uuid的topic 然后表单中带上这个topic名字请求python接口 -> 接口中发布任务到rabbitmq或redis消息队列 ->
后台消费进程执行任务消费,并将结果发布到mqtt的那个唯一uuid的topic... | 0.199308 | 0.124612 |
import subprocess
from unittest.mock import MagicMock
import pytest
from briefcase.exceptions import BriefcaseCommandError, InvalidDeviceError
from briefcase.integrations.android_sdk import ADB
def test_force_stop_app(mock_sdk, capsys):
"""Invoking `force_stop_app()` calls `run()` with the appropriate
param... | tests/integrations/android_sdk/ADB/test_force_stop_app.py | import subprocess
from unittest.mock import MagicMock
import pytest
from briefcase.exceptions import BriefcaseCommandError, InvalidDeviceError
from briefcase.integrations.android_sdk import ADB
def test_force_stop_app(mock_sdk, capsys):
"""Invoking `force_stop_app()` calls `run()` with the appropriate
param... | 0.823683 | 0.350505 |
import argparse
import sys
import Cerbrutus
banner = """
\t================================================================
\t __ ___ ____ ____ ____ __ __ ______ __ __ _____
\t / ] / _]| \ | \ | \| | || || | |/ ___/
\t / / / [_ | D )| o )| D ) | || || | ... | cerbrutus.py | import argparse
import sys
import Cerbrutus
banner = """
\t================================================================
\t __ ___ ____ ____ ____ __ __ ______ __ __ _____
\t / ] / _]| \ | \ | \| | || || | |/ ___/
\t / / / [_ | D )| o )| D ) | || || | ... | 0.13569 | 0.150809 |