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 torch
import torchvision
class MyReshape(torch.nn.Module):
def __init__(self, *args):
super(MyReshape, self).__init__()
self.shape = args
def forward(self, x):
return x.view(*self.shape)
def one_shot_iterator(dataloader):
while True:
for data in dataloader:
yield data
torch_env = {
't_nn_Res... | lt_torch.py | import torch
import torchvision
class MyReshape(torch.nn.Module):
def __init__(self, *args):
super(MyReshape, self).__init__()
self.shape = args
def forward(self, x):
return x.view(*self.shape)
def one_shot_iterator(dataloader):
while True:
for data in dataloader:
yield data
torch_env = {
't_nn_Res... | 0.909328 | 0.501282 |
"""Tests for grr.lib.timeseries."""
from grr.lib import flags
from grr.lib import test_lib
from grr.lib import timeseries
class TimeseriesTest(test_lib.GRRBaseTest):
def makeSeries(self):
s = timeseries.Timeseries()
for i in range(1, 101):
s.Append(i, (i + 5) * 10000)
return s
def testAppendF... | grr/lib/timeseries_test.py | """Tests for grr.lib.timeseries."""
from grr.lib import flags
from grr.lib import test_lib
from grr.lib import timeseries
class TimeseriesTest(test_lib.GRRBaseTest):
def makeSeries(self):
s = timeseries.Timeseries()
for i in range(1, 101):
s.Append(i, (i + 5) * 10000)
return s
def testAppendF... | 0.700178 | 0.614712 |
import os
import platform
import sys
import traceback
from typing import ClassVar, Optional, Tuple
import pkg_resources
from coverage import CoveragePlugin
from coverage.config import CoverageConfig
from packaging import version
class _PythonVersionExclusionPlugin(CoveragePlugin):
_rules_opt_name: ClassVar[str]... | coverage_conditional_plugin/__init__.py |
import os
import platform
import sys
import traceback
from typing import ClassVar, Optional, Tuple
import pkg_resources
from coverage import CoveragePlugin
from coverage.config import CoverageConfig
from packaging import version
class _PythonVersionExclusionPlugin(CoveragePlugin):
_rules_opt_name: ClassVar[str]... | 0.68679 | 0.204044 |
import numpy as np
from percolate.CompositeSubfns.xmcd_c import Xmcd_c
from percolate.CompositeSubfns.xas_c import Xas_c
# framework imports
from percolate.framework import Port
from percolate.framework import InPort
from percolate.framework import OutPort
from percolate.framework import StreamOutput
from percolate.f... | percolate/Functions/XMCD_SumRules.py | import numpy as np
from percolate.CompositeSubfns.xmcd_c import Xmcd_c
from percolate.CompositeSubfns.xas_c import Xas_c
# framework imports
from percolate.framework import Port
from percolate.framework import InPort
from percolate.framework import OutPort
from percolate.framework import StreamOutput
from percolate.f... | 0.580352 | 0.135204 |
import argparse
import importlib
import os
import re
import config
import yaml
from PyQt5.QtWidgets import QApplication, QDesktopWidget, QFileDialog
from neanno.configuration.colors import DEFAULT_ENTITY_COLORS_PALETTE
from neanno.configuration.definitions import CategoryDefinition, NamedEntityDefinition
from neanno.... | neanno/configuration/configmanager.py | import argparse
import importlib
import os
import re
import config
import yaml
from PyQt5.QtWidgets import QApplication, QDesktopWidget, QFileDialog
from neanno.configuration.colors import DEFAULT_ENTITY_COLORS_PALETTE
from neanno.configuration.definitions import CategoryDefinition, NamedEntityDefinition
from neanno.... | 0.490724 | 0.098252 |
# no-member because module networkx does indeed have a member isomorphism;
# redefined-outer-name because pylint does not like fixtures;
# protected-access because it's tests.
# pylint: disable=no-member, redefined-outer-name, protected-access
from pprint import pprint
from time import perf_counter
from hypothesis im... | vermouth/tests/test_ismags.py | # no-member because module networkx does indeed have a member isomorphism;
# redefined-outer-name because pylint does not like fixtures;
# protected-access because it's tests.
# pylint: disable=no-member, redefined-outer-name, protected-access
from pprint import pprint
from time import perf_counter
from hypothesis im... | 0.633637 | 0.536434 |
from __future__ import absolute_import
import unittest
from exact_sync.v1.api_client import ApiClient as client
from exact_sync.v1.api.images_api import ImagesApi # noqa: E501
from exact_sync.v1.api.teams_api import TeamsApi
from exact_sync.v1.api.image_sets_api import ImageSetsApi
from exact_sync.v1.api.image_regi... | exact_sync/v1/test/test_image_registration_api.py | from __future__ import absolute_import
import unittest
from exact_sync.v1.api_client import ApiClient as client
from exact_sync.v1.api.images_api import ImagesApi # noqa: E501
from exact_sync.v1.api.teams_api import TeamsApi
from exact_sync.v1.api.image_sets_api import ImageSetsApi
from exact_sync.v1.api.image_regi... | 0.494629 | 0.192331 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from enum import Enum
import tensorflow as tf # pylint: disable=g-explicit-tensorflow-version-import
import tensorflow_probability as tfp
from tf_agents.bandits.policies import linalg
from tf_agents.bandits.p... | tf_agents/bandits/policies/linear_bandit_policy.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from enum import Enum
import tensorflow as tf # pylint: disable=g-explicit-tensorflow-version-import
import tensorflow_probability as tfp
from tf_agents.bandits.policies import linalg
from tf_agents.bandits.p... | 0.942055 | 0.475849 |
import importlib
import logging
import numpy as np
import tensorflow as tf
from tensorflow.core.util.event_pb2 import SessionLog
from tensorforce import TensorforceError
epsilon = 1e-6
log_levels = dict(
info=logging.INFO,
debug=logging.DEBUG,
critical=logging.CRITICAL,
warning=logging.WARNING,
... | examples/rec_es/tensorforce/util.py |
import importlib
import logging
import numpy as np
import tensorflow as tf
from tensorflow.core.util.event_pb2 import SessionLog
from tensorforce import TensorforceError
epsilon = 1e-6
log_levels = dict(
info=logging.INFO,
debug=logging.DEBUG,
critical=logging.CRITICAL,
warning=logging.WARNING,
... | 0.806548 | 0.629063 |
from typing import Tuple
import numpy as np
import pybullet as p
import cv2
from scipy import interpolate
# https://sashat.me/2017/01/11/list-of-20-simple-distinct-colors/
RGB_COLOR_255 = [(230, 25, 75), # red
(60, 180, 75), # green
(255, 225, 25), # yellow
(0, 130... | surrol/utils/utils.py | from typing import Tuple
import numpy as np
import pybullet as p
import cv2
from scipy import interpolate
# https://sashat.me/2017/01/11/list-of-20-simple-distinct-colors/
RGB_COLOR_255 = [(230, 25, 75), # red
(60, 180, 75), # green
(255, 225, 25), # yellow
(0, 130... | 0.838614 | 0.339718 |
import json
import unittest
from typing import Iterator
from forte.data.readers import RACEMultiChoiceQAReader
from forte.data.data_pack import DataPack
from ft.onto.race_mutli_choice_qa_ontology import Article, Question
class RACEMultiChoiceQAReaderTest(unittest.TestCase):
def setUp(self):
self.dataset_... | forte/data/readers/tests/race_multi_choice_qa_reader_test.py | import json
import unittest
from typing import Iterator
from forte.data.readers import RACEMultiChoiceQAReader
from forte.data.data_pack import DataPack
from ft.onto.race_mutli_choice_qa_ontology import Article, Question
class RACEMultiChoiceQAReaderTest(unittest.TestCase):
def setUp(self):
self.dataset_... | 0.552057 | 0.412589 |
import argparse
import random
import numpy as np
import joblib
from sklearn.svm import SVC
from sklearn.tree import DecisionTreeClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.naive_bayes import GaussianNB
from sklearn.ensemble import AdaBoostClassifier
from imblearn.combine import SMOTEENN... | Supplemental/A4. Injury prediction module/Detailed_information/train_ML_model.py | import argparse
import random
import numpy as np
import joblib
from sklearn.svm import SVC
from sklearn.tree import DecisionTreeClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.naive_bayes import GaussianNB
from sklearn.ensemble import AdaBoostClassifier
from imblearn.combine import SMOTEENN... | 0.617859 | 0.496643 |
from api.algorithms.PreProcessing.preprocessing import PreProcessing
from api.algorithms.Visualization.Visualization_Functions import Visualization
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn.cluster import DBSCAN
import sys
import io
from sklearn.neighbors import NearestNeighbor... | src/ml/UnsupervisedLearning/DBSCAN.py | from api.algorithms.PreProcessing.preprocessing import PreProcessing
from api.algorithms.Visualization.Visualization_Functions import Visualization
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn.cluster import DBSCAN
import sys
import io
from sklearn.neighbors import NearestNeighbor... | 0.403097 | 0.38798 |
# Django Imports
from django.contrib import admin
# 3rd Party Libraries
from import_export.admin import ImportExportModelAdmin
from .models import (
ActivityType,
AuxServerAddress,
Domain,
DomainNote,
DomainServerConnection,
DomainStatus,
HealthStatus,
History,
ServerHistory,
... | ghostwriter/shepherd/admin.py |
# Django Imports
from django.contrib import admin
# 3rd Party Libraries
from import_export.admin import ImportExportModelAdmin
from .models import (
ActivityType,
AuxServerAddress,
Domain,
DomainNote,
DomainServerConnection,
DomainStatus,
HealthStatus,
History,
ServerHistory,
... | 0.40698 | 0.141786 |
from _py2tmp.ir0 import ir0
from _py2tmp.compiler.stages import type_expr_to_cpp_simple
from typing import Tuple
from _py2tmp.compiler.testing import main
def literal(cpp_type: str):
return ir0.AtomicTypeLiteral.for_nonlocal_type(cpp_type, may_be_alias=False)
def template(cpp_type: str, num_args: int):
retur... | _py2tmp/compiler/tests/test_type_expr_to_cpp.py |
from _py2tmp.ir0 import ir0
from _py2tmp.compiler.stages import type_expr_to_cpp_simple
from typing import Tuple
from _py2tmp.compiler.testing import main
def literal(cpp_type: str):
return ir0.AtomicTypeLiteral.for_nonlocal_type(cpp_type, may_be_alias=False)
def template(cpp_type: str, num_args: int):
retur... | 0.54359 | 0.616099 |
__author__ = '<NAME>'
import heapq
import random
import sys
from functools import total_ordering
from typing import Dict, List
from graph_basics import AbstractGraph, AbstractVertex
from union_find import UnionFind, UnionFindObj
class IllegalArgumentError(ValueError):
pass
@total_ordering
class Vertex(Abstrac... | 3-Greedy Algorithms, Minimum Spanning Tree, and Dynamic Programming/1-Greedy Algorithm/3-Minimum Spanning Tree/Python/undirected_graph.py | __author__ = '<NAME>'
import heapq
import random
import sys
from functools import total_ordering
from typing import Dict, List
from graph_basics import AbstractGraph, AbstractVertex
from union_find import UnionFind, UnionFindObj
class IllegalArgumentError(ValueError):
pass
@total_ordering
class Vertex(Abstrac... | 0.750278 | 0.376107 |
from conans import ConanFile, AutoToolsBuildEnvironment, tools, CMake
import os
class ApacheAPRUtil(ConanFile):
name = "apache-apr-util"
version = "1.6.1"
url = "https://github.com/jgsogo/conan-apache-apr-util"
homepage = "https://apr.apache.org/"
license = "http://www.apache.org/LICENSE.txt"
... | conanfile.py |
from conans import ConanFile, AutoToolsBuildEnvironment, tools, CMake
import os
class ApacheAPRUtil(ConanFile):
name = "apache-apr-util"
version = "1.6.1"
url = "https://github.com/jgsogo/conan-apache-apr-util"
homepage = "https://apr.apache.org/"
license = "http://www.apache.org/LICENSE.txt"
... | 0.302803 | 0.137967 |
import pytest
from importlib import reload
import json
import os
import ale
from ale import util
from ale.drivers import sort_drivers
from ale.base.data_naif import NaifSpice
from ale.base.data_isis import IsisSpice
from conftest import get_image_label, get_image_kernels, convert_kernels
@pytest.fixture()
def mess_k... | tests/pytests/test_load.py | import pytest
from importlib import reload
import json
import os
import ale
from ale import util
from ale.drivers import sort_drivers
from ale.base.data_naif import NaifSpice
from ale.base.data_isis import IsisSpice
from conftest import get_image_label, get_image_kernels, convert_kernels
@pytest.fixture()
def mess_k... | 0.265976 | 0.285936 |
# Licensed under the MIT License <http://opensource.org/licenses/MIT>
# SPDX-License-Identifier: MIT
# Copyright (c) 2020-2021 The Caer Authors <http://github.com/jasmcaus>
# Pulled from Scikit-Learn's official Github Repo (18 Sep 2020) to speed up 'caer' package import speeds (since this was the only method referen... | deprecated/internal/_split.py |
# Licensed under the MIT License <http://opensource.org/licenses/MIT>
# SPDX-License-Identifier: MIT
# Copyright (c) 2020-2021 The Caer Authors <http://github.com/jasmcaus>
# Pulled from Scikit-Learn's official Github Repo (18 Sep 2020) to speed up 'caer' package import speeds (since this was the only method referen... | 0.884838 | 0.542621 |
import logging
import os
from enum import Enum
from typing import Any, Callable, cast, Dict, List, Optional, Tuple
import numpy as np
import torch.utils.data
from sklearn.utils import check_random_state
from torchvision.datasets import VisionDataset
from torchvision.datasets.folder import default_loader, has_file_allo... | kale/loaddata/multi_domain.py | import logging
import os
from enum import Enum
from typing import Any, Callable, cast, Dict, List, Optional, Tuple
import numpy as np
import torch.utils.data
from sklearn.utils import check_random_state
from torchvision.datasets import VisionDataset
from torchvision.datasets.folder import default_loader, has_file_allo... | 0.847511 | 0.376165 |
import time
def main(raw_input):
seats = parse_input(raw_input)
new_seats = update_seats(seats)
while seats != new_seats:
seats = new_seats
new_seats = update_seats(seats)
occupied_count = 0
for row in new_seats:
for seat in row:
if seat == '#':
... | snippets/20201211/lazarus.py | import time
def main(raw_input):
seats = parse_input(raw_input)
new_seats = update_seats(seats)
while seats != new_seats:
seats = new_seats
new_seats = update_seats(seats)
occupied_count = 0
for row in new_seats:
for seat in row:
if seat == '#':
... | 0.321567 | 0.353679 |
import unittest
import os
import json
import pandas as pd
import osmnx as ox
import numpy as np
from bmm.src.tools.edges import graph_edges_gdf
from bmm.src.inference import smc, proposal
from bmm.src.inference.model import ExponentialMapMatchingModel
def read_data(path, nrows=None):
data_reader = pd.read_csv(... | tests/test_smc.py |
import unittest
import os
import json
import pandas as pd
import osmnx as ox
import numpy as np
from bmm.src.tools.edges import graph_edges_gdf
from bmm.src.inference import smc, proposal
from bmm.src.inference.model import ExponentialMapMatchingModel
def read_data(path, nrows=None):
data_reader = pd.read_csv(... | 0.450118 | 0.52902 |
import functools
import re
from itertools import cycle, islice
def replace_dash(name):
if '-' in name:
return re.sub(r'-', '_', name)
elif '_' in name:
return re.sub(r'_', '-', name)
else:
return name
def is_empty(string):
if re.sub(r'\s', '', string) == '':
return Tr... | musurgia/basic_functions.py | import functools
import re
from itertools import cycle, islice
def replace_dash(name):
if '-' in name:
return re.sub(r'-', '_', name)
elif '_' in name:
return re.sub(r'_', '-', name)
else:
return name
def is_empty(string):
if re.sub(r'\s', '', string) == '':
return Tr... | 0.280124 | 0.231234 |
import requests
import subprocess
import time
host = '0.0.0.0'
port = 5000
url = f'http://{host}:{port}'
def setup_module(module):
subprocess.run([f'gunicorn -b {host}:{port} -k eventlet api:app > null &'], shell = True)
time.sleep(0.5)
def teardown_module(module):
subprocess.run(['pkill -f gunicorn'], s... | fiesta-back/tests/test_requests.py | import requests
import subprocess
import time
host = '0.0.0.0'
port = 5000
url = f'http://{host}:{port}'
def setup_module(module):
subprocess.run([f'gunicorn -b {host}:{port} -k eventlet api:app > null &'], shell = True)
time.sleep(0.5)
def teardown_module(module):
subprocess.run(['pkill -f gunicorn'], s... | 0.249905 | 0.192672 |
import os
import shutil
from BaseRunner import BaseRunner
class Verilator(BaseRunner):
def __init__(self):
super().__init__("verilator", "verilator")
self.url = "https://verilator.org"
def prepare_run_cb(self, tmp_dir, params):
mode = params['mode']
conf = os.environ['CONF_... | tools/runners/Verilator.py |
import os
import shutil
from BaseRunner import BaseRunner
class Verilator(BaseRunner):
def __init__(self):
super().__init__("verilator", "verilator")
self.url = "https://verilator.org"
def prepare_run_cb(self, tmp_dir, params):
mode = params['mode']
conf = os.environ['CONF_... | 0.147126 | 0.080213 |
import logging
from minidump.minidumpfile import MinidumpFile
from minidump.common_structs import hexdump
def run():
import argparse
parser = argparse.ArgumentParser(description='A parser for minidumnp files')
parser.add_argument('minidumpfile', help='path to the minidump file of lsass.exe')
parser.add_argument... | minidump/__main__.py |
import logging
from minidump.minidumpfile import MinidumpFile
from minidump.common_structs import hexdump
def run():
import argparse
parser = argparse.ArgumentParser(description='A parser for minidumnp files')
parser.add_argument('minidumpfile', help='path to the minidump file of lsass.exe')
parser.add_argument... | 0.156266 | 0.061283 |
from rest_framework import serializers
from main.models import Service, ServiceImages, File, Function
from main.serializers.files import FileSerializer
class ServiceImageSerializer(serializers.ModelSerializer):
class Meta:
fields = ['image']
model = ServiceImages
def to_representation(self, ... | apps/main/serializers/service.py | from rest_framework import serializers
from main.models import Service, ServiceImages, File, Function
from main.serializers.files import FileSerializer
class ServiceImageSerializer(serializers.ModelSerializer):
class Meta:
fields = ['image']
model = ServiceImages
def to_representation(self, ... | 0.71602 | 0.251616 |
from tkinter import messagebox
import tradlib
import shutil
import sys
import os
active_language = "english" # default on start
def get_resources_path(relative_path):
try:
file_name = relative_path.split("\\")[-1]
base_path = sys._MEIPASS
return os.path.join(base_path + "\\" + file_name)... | diskmth/Utils.py | from tkinter import messagebox
import tradlib
import shutil
import sys
import os
active_language = "english" # default on start
def get_resources_path(relative_path):
try:
file_name = relative_path.split("\\")[-1]
base_path = sys._MEIPASS
return os.path.join(base_path + "\\" + file_name)... | 0.237576 | 0.086555 |
import code_diff as cd
from code_diff.diff_utils import parse_hunks
from code_diff import SStubPattern
# Util --------------------------------------------------------------
def compute_diff_sstub(diff):
hunks = parse_hunks(diff)
hunk = hunks[0]
diff = cd.difference(hunk.before, hunk.after, lang = "pyth... | tests/test_sstubs.py | import code_diff as cd
from code_diff.diff_utils import parse_hunks
from code_diff import SStubPattern
# Util --------------------------------------------------------------
def compute_diff_sstub(diff):
hunks = parse_hunks(diff)
hunk = hunks[0]
diff = cd.difference(hunk.before, hunk.after, lang = "pyth... | 0.346652 | 0.61734 |
# -*- coding: utf-8 -*-
import boto3
import hashlib
import json
import random
import requests
import time
from botocore.config import Config
from botocore.exceptions import ClientError
from unittest2 import TestCase
import env
def random_string(length):
seed = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWX... | docker/s3tests/base.py |
# -*- coding: utf-8 -*-
import boto3
import hashlib
import json
import random
import requests
import time
from botocore.config import Config
from botocore.exceptions import ClientError
from unittest2 import TestCase
import env
def random_string(length):
seed = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWX... | 0.419529 | 0.238647 |
from dataclasses import dataclass
from datetime import date, datetime, time, tzinfo
from typing import Iterable, Set, Union
import pytz
from ._times import AwareDateTime, check_is_aware, make_aware
from .intset import IntegerSetSpecifier
@dataclass
class RecurrenceRule:
timezone: tzinfo
years: IntegerSetSpe... | batchrun/scheduling.py | from dataclasses import dataclass
from datetime import date, datetime, time, tzinfo
from typing import Iterable, Set, Union
import pytz
from ._times import AwareDateTime, check_is_aware, make_aware
from .intset import IntegerSetSpecifier
@dataclass
class RecurrenceRule:
timezone: tzinfo
years: IntegerSetSpe... | 0.846213 | 0.401688 |
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
from tensorflow.keras.datasets import mnist
# MNIST dataset params
n_classes = 10
n_features = 784
# Training params
l_rate = 0.001
epoches = 3000
batch_size = 256
display_steps = 100
# Network param
n_hidden_1 = 128
n_hidden_2 = 256
(X_trai... | tensorflow/neaural_network_low_level.py | import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
from tensorflow.keras.datasets import mnist
# MNIST dataset params
n_classes = 10
n_features = 784
# Training params
l_rate = 0.001
epoches = 3000
batch_size = 256
display_steps = 100
# Network param
n_hidden_1 = 128
n_hidden_2 = 256
(X_trai... | 0.903349 | 0.712226 |
from __future__ import unicode_literals
import re
from .common import InfoExtractor
from ..compat import compat_str
from ..utils import (
float_or_none,
try_get,
unified_timestamp,
)
class CCTVIE(InfoExtractor):
IE_DESC = '央视网'
_VALID_URL = r'https?://(?:(?:[^/]+)\.(?:cntv|cctv)\.(?:com|cn)|(?:w... | yt_dlp/extractor/cctv.py | from __future__ import unicode_literals
import re
from .common import InfoExtractor
from ..compat import compat_str
from ..utils import (
float_or_none,
try_get,
unified_timestamp,
)
class CCTVIE(InfoExtractor):
IE_DESC = '央视网'
_VALID_URL = r'https?://(?:(?:[^/]+)\.(?:cntv|cctv)\.(?:com|cn)|(?:w... | 0.259826 | 0.155719 |
import abc
from typing import Optional
from .const import (ENDIAN, PAGE_REFERENCE_BYTES,
USED_KEY_LENGTH_BYTES, USED_VALUE_LENGTH_BYTES, TreeConf)
# Sentinel value indicating that a lazy loaded attribute is not yet loaded
NOT_LOADED = object()
class Entry(metaclass=abc.ABCMeta):
__slots__ ... | bplustree/entry.py | import abc
from typing import Optional
from .const import (ENDIAN, PAGE_REFERENCE_BYTES,
USED_KEY_LENGTH_BYTES, USED_VALUE_LENGTH_BYTES, TreeConf)
# Sentinel value indicating that a lazy loaded attribute is not yet loaded
NOT_LOADED = object()
class Entry(metaclass=abc.ABCMeta):
__slots__ ... | 0.891141 | 0.253296 |
# -*- coding: iso-8859-15 -*-
import sys
import os.path
from numpy import *
class ReturnValue3(object):
def __init__(self,score,pointer):
self.score = score
self.pointer = pointer
class ReturnValue(object):
def __init__(self,name="",sequen... | AB1/src/OverlapMatches.py |
# -*- coding: iso-8859-15 -*-
import sys
import os.path
from numpy import *
class ReturnValue3(object):
def __init__(self,score,pointer):
self.score = score
self.pointer = pointer
class ReturnValue(object):
def __init__(self,name="",sequen... | 0.281109 | 0.156008 |
import abc
import collections
import io
import logging
import pickle
import types
import typing
import joblib
import forml
LOGGER = logging.getLogger(__name__)
def name(actor: typing.Any, *args, **kwargs) -> str:
"""Infer the task name of given instance or type.
Args:
actor: Type or actor instance... | forml/flow/_task.py | import abc
import collections
import io
import logging
import pickle
import types
import typing
import joblib
import forml
LOGGER = logging.getLogger(__name__)
def name(actor: typing.Any, *args, **kwargs) -> str:
"""Infer the task name of given instance or type.
Args:
actor: Type or actor instance... | 0.869742 | 0.320941 |
from typing import List, Type
import pytest
from hedwig.exceptions import ValidationError
pytest.importorskip('google.protobuf')
from google.protobuf import json_format # noqa
from google.protobuf.message import Message as ProtoMessage # noqa
from hedwig.testing.factories.protobuf import ProtobufMessageFactory #... | tests/test_validators/test_protobuf_json.py | from typing import List, Type
import pytest
from hedwig.exceptions import ValidationError
pytest.importorskip('google.protobuf')
from google.protobuf import json_format # noqa
from google.protobuf.message import Message as ProtoMessage # noqa
from hedwig.testing.factories.protobuf import ProtobufMessageFactory #... | 0.601008 | 0.266809 |
r"""
Compute checksums.
(c) <NAME>, 2021, MIT
"""
import os
import numpy as np
import tqdm
from .relpath import add_prefix
from .yaml import read
def sha256(filename, size=2**10):
r"""
Get sha256 of a file.
"""
import hashlib
h = hashlib.sha256()
with open(filename, "rb") as f:
f... | shelephant/checksum.py | r"""
Compute checksums.
(c) <NAME>, 2021, MIT
"""
import os
import numpy as np
import tqdm
from .relpath import add_prefix
from .yaml import read
def sha256(filename, size=2**10):
r"""
Get sha256 of a file.
"""
import hashlib
h = hashlib.sha256()
with open(filename, "rb") as f:
f... | 0.71889 | 0.416915 |
from hcloud.actions.client import BoundAction
from hcloud.core.client import BoundModelBase, ClientEntityBase, GetEntityByNameMixin
from hcloud.core.domain import add_meta_to_result
from hcloud.images.domain import Image
class BoundImage(BoundModelBase):
model = Image
def __init__(self, client, data):
... | hcloud/images/client.py | from hcloud.actions.client import BoundAction
from hcloud.core.client import BoundModelBase, ClientEntityBase, GetEntityByNameMixin
from hcloud.core.domain import add_meta_to_result
from hcloud.images.domain import Image
class BoundImage(BoundModelBase):
model = Image
def __init__(self, client, data):
... | 0.873956 | 0.329634 |
from numpy import *
def loadDataSet():
postingList=[['my', 'dog', 'has', 'flea', 'problems', 'help', 'please'],
['maybe', 'not', 'take', 'him', 'to', 'dog', 'park', 'stupid'],
['my', 'dalmation', 'is', 'so', 'cute', 'I', 'love', 'him'],
['stop', 'posting', 'stupid'... | naive_Bayes/Naive_Bayesian.py | from numpy import *
def loadDataSet():
postingList=[['my', 'dog', 'has', 'flea', 'problems', 'help', 'please'],
['maybe', 'not', 'take', 'him', 'to', 'dog', 'park', 'stupid'],
['my', 'dalmation', 'is', 'so', 'cute', 'I', 'love', 'him'],
['stop', 'posting', 'stupid'... | 0.241042 | 0.344857 |
from django.db import models
from django.utils.translation import gettext_lazy as _
from django_scopes import ScopedManager
from i18nfield.fields import I18nCharField
from pretalx.common.mixins.models import LogMixin
from pretalx.common.urls import EventUrls
class Room(LogMixin, models.Model):
"""A Room is an ac... | src/pretalx/schedule/models/room.py | from django.db import models
from django.utils.translation import gettext_lazy as _
from django_scopes import ScopedManager
from i18nfield.fields import I18nCharField
from pretalx.common.mixins.models import LogMixin
from pretalx.common.urls import EventUrls
class Room(LogMixin, models.Model):
"""A Room is an ac... | 0.547222 | 0.154153 |
from typing import Optional
import discord
from redbot.core import commands
from redbot.core.utils.chat_formatting import humanize_list
from translatepy import Translator
from translatepy.exceptions import TranslatepyException
from translatepy.translators import *
from .utils import LanguageConverter, send_result
c... | translate/translate.py | from typing import Optional
import discord
from redbot.core import commands
from redbot.core.utils.chat_formatting import humanize_list
from translatepy import Translator
from translatepy.exceptions import TranslatepyException
from translatepy.translators import *
from .utils import LanguageConverter, send_result
c... | 0.856842 | 0.228006 |
import subprocess
import os
import sys
import ctypes
from urllib import quote_plus
def win32_utf8_argv():
"""Uses shell32.GetCommandLineArgvW to get sys.argv as a list of UTF-8
... | linked/for_my/executable_and_ini/tr.py | import subprocess
import os
import sys
import ctypes
from urllib import quote_plus
def win32_utf8_argv():
"""Uses shell32.GetCommandLineArgvW to get sys.argv as a list of UTF-8
... | 0.179999 | 0.068444 |
from bisect import bisect
# type K decades from https://srdata.nist.gov/its90/download/type_k.tab
DEGREES_C = list(range(-270, 1380, 10))
MILLIVOLTS = [-6.458, -6.441, -6.404, -6.344, -6.262, -6.158, -6.035, -5.891,
-5.730, -5.550, -5.354, -5.141, -4.913, -4.669, -4.411, -4.138, -3.852, -3.554,
-3.243, -2.920,... | typek.py |
from bisect import bisect
# type K decades from https://srdata.nist.gov/its90/download/type_k.tab
DEGREES_C = list(range(-270, 1380, 10))
MILLIVOLTS = [-6.458, -6.441, -6.404, -6.344, -6.262, -6.158, -6.035, -5.891,
-5.730, -5.550, -5.354, -5.141, -4.913, -4.669, -4.411, -4.138, -3.852, -3.554,
-3.243, -2.920,... | 0.477554 | 0.299643 |
from django import template
from ..models import Article, Category, Tag, Carousel, FriendLink
from django.db.models.aggregates import Count
from django.utils.html import mark_safe
import re
register = template.Library()
# 文章相关标签函数
@register.simple_tag
def get_article_list(sort=None, num=None):
"""获取指定排序方式和指定数量的... | apps/blog/templatetags/blog_tags.py |
from django import template
from ..models import Article, Category, Tag, Carousel, FriendLink
from django.db.models.aggregates import Count
from django.utils.html import mark_safe
import re
register = template.Library()
# 文章相关标签函数
@register.simple_tag
def get_article_list(sort=None, num=None):
"""获取指定排序方式和指定数量的... | 0.351645 | 0.180612 |
import Rhino # type: ignore
import rhinoscriptsyntax as rs
import scriptcontext as sc
import re
from integral_timber_joints.rhino.load import get_process, get_process_artist, process_is_none
from integral_timber_joints.geometry import JointHalfLap, JointNonPlanarLap
from integral_timber_joints.rhino.assembly_artist im... | src/integral_timber_joints/rhino/debug_change_beam_depth.py | import Rhino # type: ignore
import rhinoscriptsyntax as rs
import scriptcontext as sc
import re
from integral_timber_joints.rhino.load import get_process, get_process_artist, process_is_none
from integral_timber_joints.geometry import JointHalfLap, JointNonPlanarLap
from integral_timber_joints.rhino.assembly_artist im... | 0.180684 | 0.146881 |
from oslo_config import cfg
from ironic.common.i18n import _
opts = [
cfg.IntOpt('command_retry_timeout',
default=60,
mutable=True,
help=_('Maximum time in seconds to retry retryable IPMI '
'operations. (An operation is retryable, for '
... | ironic/conf/ipmi.py |
from oslo_config import cfg
from ironic.common.i18n import _
opts = [
cfg.IntOpt('command_retry_timeout',
default=60,
mutable=True,
help=_('Maximum time in seconds to retry retryable IPMI '
'operations. (An operation is retryable, for '
... | 0.640186 | 0.097048 |
import json
from functools import partial
from os import path
import pandas as pd
import pytest
from pytest_mock import MockFixture
from tests.utils import assert_dataframes_equals
from weaverbird.backends.pandas_executor.pipeline_executor import (
PipelineExecutionFailure,
execute_pipeline,
preview_pipel... | server/tests/test_pipeline_executor.py | import json
from functools import partial
from os import path
import pandas as pd
import pytest
from pytest_mock import MockFixture
from tests.utils import assert_dataframes_equals
from weaverbird.backends.pandas_executor.pipeline_executor import (
PipelineExecutionFailure,
execute_pipeline,
preview_pipel... | 0.588771 | 0.508788 |
import weakref
from wifipumpkin3.core.config.globalimport import *
from wifipumpkin3.core.common.uimodel import *
from wifipumpkin3.core.widgets.default import *
from wifipumpkin3.core.controllers.wirelessmodecontroller import *
from wifipumpkin3.core.controllers.dhcpcontroller import *
from wifipumpkin3.core.controll... | wifipumpkin3/core/controllers/defaultcontroller.py | import weakref
from wifipumpkin3.core.config.globalimport import *
from wifipumpkin3.core.common.uimodel import *
from wifipumpkin3.core.widgets.default import *
from wifipumpkin3.core.controllers.wirelessmodecontroller import *
from wifipumpkin3.core.controllers.dhcpcontroller import *
from wifipumpkin3.core.controll... | 0.533397 | 0.074131 |
import copy
import json
from mock import patch
from cassandra.cqlengine import columns, SizeTieredCompactionStrategy, LeveledCompactionStrategy
from cassandra.cqlengine import CQLEngineException
from cassandra.cqlengine.management import get_compaction_options, drop_table, sync_table, get_table_settings
from cassandr... | tests/integration/cqlengine/management/test_compaction_settings.py |
import copy
import json
from mock import patch
from cassandra.cqlengine import columns, SizeTieredCompactionStrategy, LeveledCompactionStrategy
from cassandra.cqlengine import CQLEngineException
from cassandra.cqlengine.management import get_compaction_options, drop_table, sync_table, get_table_settings
from cassandr... | 0.539469 | 0.329715 |
import numpy as np
import math
import cv2
import pygame
from .sensor import Sensor
from ...utils.definitions import SensorModality
class TopdownSensor(Sensor):
"""
TopdownSensor provides an image from bird's eye view, centered and oriented on the anchor.
The anchor is, by default, visible to the agent.
... | simple_playgrounds/agents/sensors/topdown_sensors.py | import numpy as np
import math
import cv2
import pygame
from .sensor import Sensor
from ...utils.definitions import SensorModality
class TopdownSensor(Sensor):
"""
TopdownSensor provides an image from bird's eye view, centered and oriented on the anchor.
The anchor is, by default, visible to the agent.
... | 0.893562 | 0.537284 |
from typing import Any, Callable, Dict, List, Mapping, Optional, Sequence, Tuple, TYPE_CHECKING, Union
import torch
from pytorch_lightning.trainer.states import RunningStage
from pytorch_lightning.utilities.exceptions import MisconfigurationException
from torch import Tensor
from flash.core.data.callback import Contr... | flash/core/data/batch.py | from typing import Any, Callable, Dict, List, Mapping, Optional, Sequence, Tuple, TYPE_CHECKING, Union
import torch
from pytorch_lightning.trainer.states import RunningStage
from pytorch_lightning.utilities.exceptions import MisconfigurationException
from torch import Tensor
from flash.core.data.callback import Contr... | 0.912811 | 0.523664 |
from django.test import TestCase, override_settings
from model_bakery import baker
from rest_framework.authtoken.models import Token
from rest_framework.test import APIClient
from accounts.models import User
from core.models import CoreSettings
class TacticalTestCase(TestCase):
def authenticate(self):
se... | api/tacticalrmm/tacticalrmm/test.py | from django.test import TestCase, override_settings
from model_bakery import baker
from rest_framework.authtoken.models import Token
from rest_framework.test import APIClient
from accounts.models import User
from core.models import CoreSettings
class TacticalTestCase(TestCase):
def authenticate(self):
se... | 0.504639 | 0.208119 |
import asyncio
from amqtt.mqtt.packet import (
MQTTPacket,
MQTTFixedHeader,
UNSUBSCRIBE,
PacketIdVariableHeader,
MQTTPayload,
MQTTVariableHeader,
)
from amqtt.errors import HBMQTTException, NoDataException
from amqtt.codecs import decode_string, encode_string
class UnubscribePayload(MQTTPaylo... | amqtt/mqtt/unsubscribe.py | import asyncio
from amqtt.mqtt.packet import (
MQTTPacket,
MQTTFixedHeader,
UNSUBSCRIBE,
PacketIdVariableHeader,
MQTTPayload,
MQTTVariableHeader,
)
from amqtt.errors import HBMQTTException, NoDataException
from amqtt.codecs import decode_string, encode_string
class UnubscribePayload(MQTTPaylo... | 0.443841 | 0.092033 |
# Last Change: Wed Sep 24 05:00 PM 2008 J
import numpy as np
import scipy as sp
import scipy.signal as sig
def lpc_ref(signal, order):
"""Compute the Linear Prediction Coefficients.
Return the order + 1 LPC coefficients for the signal. c = lpc(x, k) will
find the k+1 coefficients of a k order linear filt... | src/main/scikit_talkbox_lpc.py |
# Last Change: Wed Sep 24 05:00 PM 2008 J
import numpy as np
import scipy as sp
import scipy.signal as sig
def lpc_ref(signal, order):
"""Compute the Linear Prediction Coefficients.
Return the order + 1 LPC coefficients for the signal. c = lpc(x, k) will
find the k+1 coefficients of a k order linear filt... | 0.824037 | 0.731179 |
from typing import Dict, List, Union
import sqlparse.sql
from sqlparse.tokens import Comment, Name, Number, Punctuation, Wildcard
from sql_metadata.keywords_lists import (
KEYWORDS_BEFORE_COLUMNS,
RELEVANT_KEYWORDS,
QueryType,
TABLE_ADJUSTMENT_KEYWORDS,
)
class SQLToken: # pylint: disable=R0902, R0... | sql_metadata/token.py | from typing import Dict, List, Union
import sqlparse.sql
from sqlparse.tokens import Comment, Name, Number, Punctuation, Wildcard
from sql_metadata.keywords_lists import (
KEYWORDS_BEFORE_COLUMNS,
RELEVANT_KEYWORDS,
QueryType,
TABLE_ADJUSTMENT_KEYWORDS,
)
class SQLToken: # pylint: disable=R0902, R0... | 0.848062 | 0.223822 |
# [START iam_quickstartv2]
import os
from google.oauth2 import service_account
import googleapiclient.discovery
def quickstart(project_id, member):
"""Gets a policy, adds a member, prints their permissions, and removes the member."""
# Role to be granted.
role = "roles/logging.logWriter"
# Initial... | iam/api-client/quickstartv2.py |
# [START iam_quickstartv2]
import os
from google.oauth2 import service_account
import googleapiclient.discovery
def quickstart(project_id, member):
"""Gets a policy, adds a member, prints their permissions, and removes the member."""
# Role to be granted.
role = "roles/logging.logWriter"
# Initial... | 0.496582 | 0.195767 |
from collections import defaultdict
import numpy as np
from fastestimator.architecture.retinanet import _get_fpn_anchor_box
from fastestimator.trace import Trace
from pycocotools import mask as maskUtils
class MeanAvgPrecision(Trace):
"""Calculates mean avg precision for various ios. Based out of cocoapi
""... | fastestimator/trace/metric/mean_avg_precision.py | from collections import defaultdict
import numpy as np
from fastestimator.architecture.retinanet import _get_fpn_anchor_box
from fastestimator.trace import Trace
from pycocotools import mask as maskUtils
class MeanAvgPrecision(Trace):
"""Calculates mean avg precision for various ios. Based out of cocoapi
""... | 0.654895 | 0.290163 |
from typing import *
from rdisq.consts import RECEIVER_SERVICE_NAME
from rdisq.configuration import get_rdisq_config
from rdisq.payload import SessionResult
from rdisq.request.message import RdisqMessage
from rdisq.request.dispatcher import RequestDispatcher
from rdisq.service import RdisqService, remote_method
from ... | rdisq/request/receiver.py | from typing import *
from rdisq.consts import RECEIVER_SERVICE_NAME
from rdisq.configuration import get_rdisq_config
from rdisq.payload import SessionResult
from rdisq.request.message import RdisqMessage
from rdisq.request.dispatcher import RequestDispatcher
from rdisq.service import RdisqService, remote_method
from ... | 0.831998 | 0.09645 |
import argparse
import numpy as np
import pandas as pd
import os
import time
from matplotlib import pyplot as plt
import scipy.io
from utils.model import load_pool, load_lenet
from models.athena import Ensemble, ENSEMBLE_STRATEGY
from utils.file import load_from_json
from utils.metrics import error_rate, get_correctio... | src/scripts/whitebox_attack.py | import argparse
import numpy as np
import pandas as pd
import os
import time
from matplotlib import pyplot as plt
import scipy.io
from utils.model import load_pool, load_lenet
from models.athena import Ensemble, ENSEMBLE_STRATEGY
from utils.file import load_from_json
from utils.metrics import error_rate, get_correctio... | 0.69285 | 0.446676 |
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
def df_entry_vec(df, env, rep, obs, action, reward, t):
# Appending entry to the dataframe
series = pd.Series(
[t, obs[0][0], action[0][0], reward[0], rep], index=df.columns
)
return df.append(series, ignore_index=True)
d... | rl-toolkit/sb3/simulate_vec.py | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
def df_entry_vec(df, env, rep, obs, action, reward, t):
# Appending entry to the dataframe
series = pd.Series(
[t, obs[0][0], action[0][0], reward[0], rep], index=df.columns
)
return df.append(series, ignore_index=True)
d... | 0.729905 | 0.675082 |
import copy
import numpy.linalg
from data_models.memory_data_models import GainTable, BlockVisibility, QA, assert_vis_gt_compatible
from data_models.memory_data_models import ReceptorFrame
from ..visibility.iterators import vis_timeslice_iter
import logging
log = logging.getLogger(__name__)
def gaintable_summary... | processing_components/calibration/operations.py | import copy
import numpy.linalg
from data_models.memory_data_models import GainTable, BlockVisibility, QA, assert_vis_gt_compatible
from data_models.memory_data_models import ReceptorFrame
from ..visibility.iterators import vis_timeslice_iter
import logging
log = logging.getLogger(__name__)
def gaintable_summary... | 0.746046 | 0.547827 |
import sys
from pathlib import Path
from setuptools import setup
assert sys.version_info >= (3, 6), "unimport requires Python 3.6+"
CURRENT_DIR = Path(__file__).parent
def get_long_description():
readme_md = CURRENT_DIR / "README.md"
with open(readme_md, encoding="utf8") as ld_file:
return ld_file.... | setup.py | import sys
from pathlib import Path
from setuptools import setup
assert sys.version_info >= (3, 6), "unimport requires Python 3.6+"
CURRENT_DIR = Path(__file__).parent
def get_long_description():
readme_md = CURRENT_DIR / "README.md"
with open(readme_md, encoding="utf8") as ld_file:
return ld_file.... | 0.208421 | 0.276684 |
import signal
from base64 import b64encode, b64decode
from subprocess import Popen, PIPE
import numpy as np
import struct
import time
from collections import namedtuple
import os
Response = namedtuple('Response', [
'best_value',
'steps',
'reward',
'is_terminal',
'is_failure',
'num_nodes',
'... | python/pomcpow/environment.py | import signal
from base64 import b64encode, b64decode
from subprocess import Popen, PIPE
import numpy as np
import struct
import time
from collections import namedtuple
import os
Response = namedtuple('Response', [
'best_value',
'steps',
'reward',
'is_terminal',
'is_failure',
'num_nodes',
'... | 0.401101 | 0.137706 |
import os
import sys
import itertools
import argparse
def list_fa_files(path_to_dir):
""" Return list of .fa files """
return [f for f in os.listdir(path_to_dir) if f.endswith(".fa") and not f.startswith("longest")]
def fasta_iter(fasta_filehandle):
""" Yield tuples of header, sequence """
faite... | evolution_analysis/code/gene_expansion_contraction/complementary_scripts/cafetutorial_longest_iso.py | import os
import sys
import itertools
import argparse
def list_fa_files(path_to_dir):
""" Return list of .fa files """
return [f for f in os.listdir(path_to_dir) if f.endswith(".fa") and not f.startswith("longest")]
def fasta_iter(fasta_filehandle):
""" Yield tuples of header, sequence """
faite... | 0.250454 | 0.142948 |
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from itertools import product, combinations, combinations_with_replacement
import math
import re
import vtk_visualizer as vv
import numpy as np
import sys
from PyQt5.QtWidgets import *
##http://mathworld.wolfram.com/t... | calculated-solids.py | import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from itertools import product, combinations, combinations_with_replacement
import math
import re
import vtk_visualizer as vv
import numpy as np
import sys
from PyQt5.QtWidgets import *
##http://mathworld.wolfram.com/t... | 0.106807 | 0.319161 |
import json
from django.views.generic.edit import CreateView
from django.views.generic.list import ListView
from django.urls import reverse_lazy
from django.http import HttpResponse
from django.views import View
from django.contrib.contenttypes.models import ContentType
from social_network.forms import SignUpForm
fro... | src/social_network/views.py | import json
from django.views.generic.edit import CreateView
from django.views.generic.list import ListView
from django.urls import reverse_lazy
from django.http import HttpResponse
from django.views import View
from django.contrib.contenttypes.models import ContentType
from social_network.forms import SignUpForm
fro... | 0.356223 | 0.085633 |
import mock
from magnum.common.rpc_service import CONF
from magnum import objects
from magnum.servicegroup import magnum_service_periodic as periodic
from magnum.tests import base
class MagnumServicePeriodicTestCase(base.TestCase):
def setUp(self):
super(MagnumServicePeriodicTestCase, self).setUp()
... | magnum/tests/unit/servicegroup/test_magnum_service.py |
import mock
from magnum.common.rpc_service import CONF
from magnum import objects
from magnum.servicegroup import magnum_service_periodic as periodic
from magnum.tests import base
class MagnumServicePeriodicTestCase(base.TestCase):
def setUp(self):
super(MagnumServicePeriodicTestCase, self).setUp()
... | 0.752559 | 0.161485 |
from typing import Type
from src.main.serialization.codec.codec import Codec
from src.main.serialization.codec.object.noneCodec import NoneCodec
from src.main.serialization.codec.utils.bytes import *
class CodecCache:
"""Codec cache, in charge of registering and managing codecs"""
__NONE_CODEC: Codec[None] ... | src/main/serialization/codec/codecCache.py | from typing import Type
from src.main.serialization.codec.codec import Codec
from src.main.serialization.codec.object.noneCodec import NoneCodec
from src.main.serialization.codec.utils.bytes import *
class CodecCache:
"""Codec cache, in charge of registering and managing codecs"""
__NONE_CODEC: Codec[None] ... | 0.892287 | 0.247033 |
from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401
from oci.decorators import init_model_state_from_kwargs
@init_model_state_from_kwargs
class ConfigurationVariables(object):
"""
User controllable service variables.
"""
#: A constant which can... | darling_ansible/python_venv/lib/python3.7/site-packages/oci/mysql/models/configuration_variables.py |
from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401
from oci.decorators import init_model_state_from_kwargs
@init_model_state_from_kwargs
class ConfigurationVariables(object):
"""
User controllable service variables.
"""
#: A constant which can... | 0.840062 | 0.187077 |
import os
import requests
from src.config import CONFIG
from src.utils import Utils
from src.ejbca.thing import Thing
from src.mqtt_locust.redis_client import RedisClient
LOGGER = Utils.create_logger("cert_utils")
class CertUtils:
"""
Handles certificate-related operations.
"""
@staticmethod
d... | connector/mqtt/locust/src/ejbca/cert_utils.py | import os
import requests
from src.config import CONFIG
from src.utils import Utils
from src.ejbca.thing import Thing
from src.mqtt_locust.redis_client import RedisClient
LOGGER = Utils.create_logger("cert_utils")
class CertUtils:
"""
Handles certificate-related operations.
"""
@staticmethod
d... | 0.53607 | 0.189953 |
from flask_wtf import Form
from wtforms import StringField, PasswordField, BooleanField, SubmitField, ValidationError
from wtforms.validators import Length, Email, EqualTo
from wtforms.validators import Required
from ..models import User
__author__ = 'archer'
# -*- coding : utf-8 -*-
class LoginForm(Form):
user... | application/auth/forms.py | from flask_wtf import Form
from wtforms import StringField, PasswordField, BooleanField, SubmitField, ValidationError
from wtforms.validators import Length, Email, EqualTo
from wtforms.validators import Required
from ..models import User
__author__ = 'archer'
# -*- coding : utf-8 -*-
class LoginForm(Form):
user... | 0.314893 | 0.116991 |
from contextlib import contextmanager
import logging
import shutil
import os
import json
import jinja2
import subprocess
from pathlib import Path
from betka.constants import HOME
logger = logging.getLogger(__name__)
def run_cmd(cmd, return_output=False, ignore_error=False, shell=False, **kwargs):
"""
Run... | betka/utils.py |
from contextlib import contextmanager
import logging
import shutil
import os
import json
import jinja2
import subprocess
from pathlib import Path
from betka.constants import HOME
logger = logging.getLogger(__name__)
def run_cmd(cmd, return_output=False, ignore_error=False, shell=False, **kwargs):
"""
Run... | 0.597843 | 0.157266 |
import os
import shutil
import pytest
from flask import render_template, render_template_string, request
from jinja2.exceptions import TemplateNotFound
from jinja2.sandbox import SecurityError
from werkzeug.test import Client
from CTFd.config import TestingConfig
from CTFd.utils import get_config, set_config
from te... | tests/test_themes.py |
import os
import shutil
import pytest
from flask import render_template, render_template_string, request
from jinja2.exceptions import TemplateNotFound
from jinja2.sandbox import SecurityError
from werkzeug.test import Client
from CTFd.config import TestingConfig
from CTFd.utils import get_config, set_config
from te... | 0.460774 | 0.19498 |
import optparse, os, re, setup, sys
from build_util import *
__id__ = '$Id$'
UPLOAD_HOST = 'groovie.org'
UPLOAD_HOST_DIR = '/usr/local/www/hellanzb.com/distfiles/'
try:
parser = optparse.OptionParser()
parser.add_option('-l', '--local', action='store_true', dest='local',
help='Do a ... | build.py | import optparse, os, re, setup, sys
from build_util import *
__id__ = '$Id$'
UPLOAD_HOST = 'groovie.org'
UPLOAD_HOST_DIR = '/usr/local/www/hellanzb.com/distfiles/'
try:
parser = optparse.OptionParser()
parser.add_option('-l', '--local', action='store_true', dest='local',
help='Do a ... | 0.308398 | 0.149625 |
import sys, os, glob
def strdict_to_dict(sstr, ttype):
'''
'{"1": 0.04, "2": 0.04, "4": 0.03, "5": 0.02, "7": 0.03, }'
'''
out = {}
if '{' in sstr:
sstr = sstr.split("{")[1].split("}")[0]
else:
sstr = sstr.strip()
for x in sstr.split(','):
x = x.strip()
... | change_log_project_name.py | import sys, os, glob
def strdict_to_dict(sstr, ttype):
'''
'{"1": 0.04, "2": 0.04, "4": 0.03, "5": 0.02, "7": 0.03, }'
'''
out = {}
if '{' in sstr:
sstr = sstr.split("{")[1].split("}")[0]
else:
sstr = sstr.strip()
for x in sstr.split(','):
x = x.strip()
... | 0.081589 | 0.137156 |
from __future__ import print_function
from docxtpl import DocxTemplate, R
from LessonPlanWriters.LessonPlanWriter import LessonPlanWriter
from LessonPlanComponents.ActivityType import ActivityType
__author__ = 'Quinton'
class WesthovenWriter(LessonPlanWriter):
def __init__(self):
super().__init__()
de... | LessonPlanWriters/WesthovenWriter.py | from __future__ import print_function
from docxtpl import DocxTemplate, R
from LessonPlanWriters.LessonPlanWriter import LessonPlanWriter
from LessonPlanComponents.ActivityType import ActivityType
__author__ = 'Quinton'
class WesthovenWriter(LessonPlanWriter):
def __init__(self):
super().__init__()
de... | 0.469763 | 0.127517 |
import collections
import warnings
from copy import deepcopy
from itertools import chain
from typing import Any, Callable, Dict, Union
from oneflow.framework.tensor import Tensor
from oneflow.nn.parameter import Parameter
from oneflow.nn.utils.clip_grad import clip_grad_norm_
class ParamGroup(object):
def __init... | python/oneflow/nn/optimizer/optimizer.py | import collections
import warnings
from copy import deepcopy
from itertools import chain
from typing import Any, Callable, Dict, Union
from oneflow.framework.tensor import Tensor
from oneflow.nn.parameter import Parameter
from oneflow.nn.utils.clip_grad import clip_grad_norm_
class ParamGroup(object):
def __init... | 0.899253 | 0.376709 |
import datetime
import pandas
import pytest
@pytest.fixture
def module_under_test():
import pandas_gbq.schema
return pandas_gbq.schema
@pytest.mark.parametrize(
"original_fields,dataframe_fields",
[
(
[
{"name": "A", "type": "FLOAT"},
{"name": "B... | tests/unit/test_schema.py | import datetime
import pandas
import pytest
@pytest.fixture
def module_under_test():
import pandas_gbq.schema
return pandas_gbq.schema
@pytest.mark.parametrize(
"original_fields,dataframe_fields",
[
(
[
{"name": "A", "type": "FLOAT"},
{"name": "B... | 0.283385 | 0.686692 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, xavier_init
from ..builder import NECKS
@NECKS.register_module()
class MULTISEC(nn.Module):
def __init__(self,
in_channels,
num_levels,
conv_cfg=None,
... | mmdet/models/necks/multi_sec.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, xavier_init
from ..builder import NECKS
@NECKS.register_module()
class MULTISEC(nn.Module):
def __init__(self,
in_channels,
num_levels,
conv_cfg=None,
... | 0.834171 | 0.257923 |
import pytest
from urlshortener import create_app
from urlshortener.models import URLEntry
@pytest.fixture
def client():
yield create_app(testing=True).test_client()
# make sure we clear the database when we're done
URLEntry.objects.delete()
def test_home(client):
res = client.get('/')
assert re... | tests/test_urlshortener.py | import pytest
from urlshortener import create_app
from urlshortener.models import URLEntry
@pytest.fixture
def client():
yield create_app(testing=True).test_client()
# make sure we clear the database when we're done
URLEntry.objects.delete()
def test_home(client):
res = client.get('/')
assert re... | 0.483405 | 0.328328 |
from oslo_config import cfg
watcher_decision_engine = cfg.OptGroup(name='watcher_decision_engine',
title='Defines the parameters of '
'the module decision engine')
WATCHER_DECISION_ENGINE_OPTS = [
cfg.StrOpt('conductor_topic',
... | watcher/conf/decision_engine.py |
from oslo_config import cfg
watcher_decision_engine = cfg.OptGroup(name='watcher_decision_engine',
title='Defines the parameters of '
'the module decision engine')
WATCHER_DECISION_ENGINE_OPTS = [
cfg.StrOpt('conductor_topic',
... | 0.516595 | 0.090655 |
import datetime
import time
import RPi.GPIO as GPIO
class PlantWateringSystem(object):
def __init__(self):
GPIO.setmode(GPIO.BOARD) # Broadcom pin-numbering scheme
self.high_runner_moisture_sensor_pin = 8
self.low_runner_moisture_sensor_pin = 10
self.high_runner_pump_pin = 7
... | plant_watering_web_app/hardware_control.py | import datetime
import time
import RPi.GPIO as GPIO
class PlantWateringSystem(object):
def __init__(self):
GPIO.setmode(GPIO.BOARD) # Broadcom pin-numbering scheme
self.high_runner_moisture_sensor_pin = 8
self.low_runner_moisture_sensor_pin = 10
self.high_runner_pump_pin = 7
... | 0.469034 | 0.194043 |
from typing import List
import django_filters
from django.db.models import Q
from django.utils import timezone
from ...discount import DiscountValueType
from ...discount.models import Sale, Voucher, VoucherQueryset
from ..core.filters import ListObjectTypeFilter, ObjectTypeFilter
from ..core.types.common import DateT... | saleor/graphql/discount/filters.py | from typing import List
import django_filters
from django.db.models import Q
from django.utils import timezone
from ...discount import DiscountValueType
from ...discount.models import Sale, Voucher, VoucherQueryset
from ..core.filters import ListObjectTypeFilter, ObjectTypeFilter
from ..core.types.common import DateT... | 0.623721 | 0.22113 |
import enum
import os
import ssl
import tempfile
from typing import Sequence
from urllib import request
from lxml import etree
import zipfile
from pathlib import Path
from collections import OrderedDict
#udhr_folder = str(Path(Path(__file__).parent, '..', 'data', 'udhr'))
#SOURCE = 'https://unicode.org/udhr/'
#outpath... | tools/update_from_official_udhr.py | import enum
import os
import ssl
import tempfile
from typing import Sequence
from urllib import request
from lxml import etree
import zipfile
from pathlib import Path
from collections import OrderedDict
#udhr_folder = str(Path(Path(__file__).parent, '..', 'data', 'udhr'))
#SOURCE = 'https://unicode.org/udhr/'
#outpath... | 0.515376 | 0.125977 |
import torch
import numpy as np
from scipy.misc import imread, imresize
from torchvision import datasets, transforms
from datasets.utils import binarize, create_loader
class FashionMNISTLoader(object):
def __init__(self, path, batch_size, train_sampler=None, test_sampler=None,
transform=None, ta... | fashion_mnist.py | import torch
import numpy as np
from scipy.misc import imread, imresize
from torchvision import datasets, transforms
from datasets.utils import binarize, create_loader
class FashionMNISTLoader(object):
def __init__(self, path, batch_size, train_sampler=None, test_sampler=None,
transform=None, ta... | 0.844601 | 0.501038 |
import binascii
import calendar
import datetime
from logging import Logger
from typing import Optional
from eth_account import Account
from eth_utils import from_wei, to_bytes
from web3 import Web3, HTTPProvider
from sto.ethereum.utils import check_good_node_url, check_good_private_key, create_web3
class NodeNotSync... | sto/ethereum/diagnostics.py | import binascii
import calendar
import datetime
from logging import Logger
from typing import Optional
from eth_account import Account
from eth_utils import from_wei, to_bytes
from web3 import Web3, HTTPProvider
from sto.ethereum.utils import check_good_node_url, check_good_private_key, create_web3
class NodeNotSync... | 0.809389 | 0.244916 |
# Import Python libs
from __future__ import absolute_import, print_function, unicode_literals
import salt.modules.at as at
# Import Salt Libs
import salt.utils.path
# Import Salt Testing Libs
from tests.support.mixins import LoaderModuleMockMixin
from tests.support.mock import MagicMock, patch
from tests.support.uni... | tests/unit/modules/test_at.py | # Import Python libs
from __future__ import absolute_import, print_function, unicode_literals
import salt.modules.at as at
# Import Salt Libs
import salt.utils.path
# Import Salt Testing Libs
from tests.support.mixins import LoaderModuleMockMixin
from tests.support.mock import MagicMock, patch
from tests.support.uni... | 0.751648 | 0.434461 |
import logging
import os
import shutil
import subprocess
from appimagebuilder.utils.finder import Finder
from .base_helper import BaseHelper
from ..environment import Environment
class GStreamer(BaseHelper):
def configure(self, env: Environment, preserve_files):
self._set_gst_plugins_path(env)
se... | appimagebuilder/modules/setup/helpers/gstreamer.py | import logging
import os
import shutil
import subprocess
from appimagebuilder.utils.finder import Finder
from .base_helper import BaseHelper
from ..environment import Environment
class GStreamer(BaseHelper):
def configure(self, env: Environment, preserve_files):
self._set_gst_plugins_path(env)
se... | 0.241132 | 0.073264 |
from __future__ import absolute_import, division, print_function
__all__ = [
'extract_photons',
'parse_args'
]
__author__ = '<NAME>, <NAME>'
__license__ = '''Copyright 2017 <NAME> and <NAME>
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this i3_file except in compliance with... | retro/i3processing/extract_photons.py | from __future__ import absolute_import, division, print_function
__all__ = [
'extract_photons',
'parse_args'
]
__author__ = '<NAME>, <NAME>'
__license__ = '''Copyright 2017 <NAME> and <NAME>
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this i3_file except in compliance with... | 0.672547 | 0.205018 |
from schemaobject.option import SchemaOption
from schemaobject.table import TableSchemaBuilder
from schemaobject.procedure import ProcedureSchemaBuilder
from schemaobject.collections import OrderedDict
def DatabaseSchemaBuilder(instance):
"""
Returns a dictionary loaded with all of the databases availale on
... | schemaobject/database.py | from schemaobject.option import SchemaOption
from schemaobject.table import TableSchemaBuilder
from schemaobject.procedure import ProcedureSchemaBuilder
from schemaobject.collections import OrderedDict
def DatabaseSchemaBuilder(instance):
"""
Returns a dictionary loaded with all of the databases availale on
... | 0.809841 | 0.172625 |
import os
import sys
import base64
import logging
import textwrap
from . import config as ibmcf_config
from lithops.utils import version_str
from lithops.version import __version__
from lithops.utils import is_lithops_worker
from lithops.libs.openwhisk.client import OpenWhiskClient
from lithops.serverless.utils import... | lithops/serverless/backends/ibm_cf/ibm_cf.py |
import os
import sys
import base64
import logging
import textwrap
from . import config as ibmcf_config
from lithops.utils import version_str
from lithops.version import __version__
from lithops.utils import is_lithops_worker
from lithops.libs.openwhisk.client import OpenWhiskClient
from lithops.serverless.utils import... | 0.372049 | 0.07843 |
from pyexpat import model
import cv2
import numpy as np
import time
import yaml
from openvino.runtime import Core # the version of openvino >= 2022.1
# 载入COCO Label
with open('./coco.yaml','r', encoding='utf-8') as f:
result = yaml.load(f.read(),Loader=yaml.FullLoader)
class_list = result['names']
# ... | infer_by_openvino2022.py | from pyexpat import model
import cv2
import numpy as np
import time
import yaml
from openvino.runtime import Core # the version of openvino >= 2022.1
# 载入COCO Label
with open('./coco.yaml','r', encoding='utf-8') as f:
result = yaml.load(f.read(),Loader=yaml.FullLoader)
class_list = result['names']
# ... | 0.240685 | 0.153359 |
import os.path
import configparser
import feedparser
import sqlite3
import re
import requests
import urllib
import time
__auth_cookies = None
__config = None
class Entry:
def __init__(self, guid, name):
self.guid = guid
self.name = name
self.date = time.strftime("%Y/%m/%d")
def main():... | main.py | import os.path
import configparser
import feedparser
import sqlite3
import re
import requests
import urllib
import time
__auth_cookies = None
__config = None
class Entry:
def __init__(self, guid, name):
self.guid = guid
self.name = name
self.date = time.strftime("%Y/%m/%d")
def main():... | 0.387111 | 0.063164 |
# standard library
import unittest
# first party
from delphi.epidata.acquisition.covid_hosp.state_timeseries.database import Database
from delphi.epidata.client.delphi_epidata import Epidata
import delphi.operations.secrets as secrets
class ServerTests(unittest.TestCase):
"""Tests the `covid_hosp` endpoint."""
... | integrations/server/test_covid_hosp.py |
# standard library
import unittest
# first party
from delphi.epidata.acquisition.covid_hosp.state_timeseries.database import Database
from delphi.epidata.client.delphi_epidata import Epidata
import delphi.operations.secrets as secrets
class ServerTests(unittest.TestCase):
"""Tests the `covid_hosp` endpoint."""
... | 0.724968 | 0.407392 |
import logging
import pathlib
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.asymmetric import dsa
from cryptography.hazmat.primitives import serialization
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogg... | python-signatures/generate-verify-signature.py | import logging
import pathlib
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.asymmetric import dsa
from cryptography.hazmat.primitives import serialization
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogg... | 0.545044 | 0.11385 |
'''__main__.py'''
# Internal Libraries
import os
import sys
import tempfile
from shutil import rmtree
version = '21w11a dev'
def file_type(file: str) -> str:
if(not os.path.isfile(file)):
print('Auto-Editor could not find the file: ' + file, file=sys.stderr)
sys.exit(1)
return file
def float... | auto_editor/__main__.py | '''__main__.py'''
# Internal Libraries
import os
import sys
import tempfile
from shutil import rmtree
version = '21w11a dev'
def file_type(file: str) -> str:
if(not os.path.isfile(file)):
print('Auto-Editor could not find the file: ' + file, file=sys.stderr)
sys.exit(1)
return file
def float... | 0.334263 | 0.13489 |
import os
import pandas as pd
from utils_nlp.dataset.url_utils import extract_zip, maybe_download
from utils_nlp.dataset.preprocess import convert_to_unicode
URL_XNLI = "https://cims.nyu.edu/~sbowman/xnli/XNLI-1.0.zip"
URL_XNLI_MT = "https://cims.nyu.edu/~sbowman/xnli/XNLI-MT-1.0.zip"
def load_pandas_df(local_cache... | utils_nlp/dataset/xnli.py | import os
import pandas as pd
from utils_nlp.dataset.url_utils import extract_zip, maybe_download
from utils_nlp.dataset.preprocess import convert_to_unicode
URL_XNLI = "https://cims.nyu.edu/~sbowman/xnli/XNLI-1.0.zip"
URL_XNLI_MT = "https://cims.nyu.edu/~sbowman/xnli/XNLI-MT-1.0.zip"
def load_pandas_df(local_cache... | 0.609408 | 0.423518 |
from math import sqrt
import unittest
from numpy import array, abs, tile
from pyspark.mllib.linalg import SparseVector, DenseVector, Vectors
from pyspark.mllib.linalg.distributed import RowMatrix
from pyspark.mllib.feature import HashingTF, IDF, StandardScaler, ElementwiseProduct, Word2Vec
from pyspark.testing.mllib... | python/pyspark/mllib/tests/test_feature.py |
from math import sqrt
import unittest
from numpy import array, abs, tile
from pyspark.mllib.linalg import SparseVector, DenseVector, Vectors
from pyspark.mllib.linalg.distributed import RowMatrix
from pyspark.mllib.feature import HashingTF, IDF, StandardScaler, ElementwiseProduct, Word2Vec
from pyspark.testing.mllib... | 0.763572 | 0.764738 |
# Import Python libs
from __future__ import absolute_import
import os
# Import Salt Testing libs
from salttesting import TestCase
from salttesting.helpers import ensure_in_syspath
# Import Salt libs
import salt.modules.cmdmod
ensure_in_syspath('../')
class DocTestCase(TestCase):
'''
Unit test case for test... | tests/unit/doc_test.py | # Import Python libs
from __future__ import absolute_import
import os
# Import Salt Testing libs
from salttesting import TestCase
from salttesting.helpers import ensure_in_syspath
# Import Salt libs
import salt.modules.cmdmod
ensure_in_syspath('../')
class DocTestCase(TestCase):
'''
Unit test case for test... | 0.502197 | 0.160562 |