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f7f23bdb20754a464e4e503f005161be4a936b44 | 1,431 | py | Python | tests/test_basicfit.py | FaustinCarter/lmfit-py | 7fbb75b2fd3f383e78692fd85c9a646793d4b071 | [
"BSD-3-Clause"
] | null | null | null | tests/test_basicfit.py | FaustinCarter/lmfit-py | 7fbb75b2fd3f383e78692fd85c9a646793d4b071 | [
"BSD-3-Clause"
] | null | null | null | tests/test_basicfit.py | FaustinCarter/lmfit-py | 7fbb75b2fd3f383e78692fd85c9a646793d4b071 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
from lmfit import minimize, Parameters, Parameter, report_fit
from lmfit_testutils import assert_paramval, assert_paramattr
def test_basic():
# create data to be fitted
x = np.linspace(0, 15, 301)
data = (5. * np.sin(2 * x - 0.1) * np.exp(-x*x*0.025) +
np.random.normal(size=... | 29.8125 | 68 | 0.61775 | import numpy as np
from lmfit import minimize, Parameters, Parameter, report_fit
from lmfit_testutils import assert_paramval, assert_paramattr
def test_basic():
x = np.linspace(0, 15, 301)
data = (5. * np.sin(2 * x - 0.1) * np.exp(-x*x*0.025) +
np.random.normal(size=len(x), scale=0.2) )
... | true | true |
f7f23be0328782031ec2f4cad70681a82e68a8d8 | 1,963 | py | Python | tests/test_PrettyDuration.py | ryanharvey1/nelpy | 403759eb4e43e5e6eb9f77d6904c72cf28c9e550 | [
"MIT"
] | 30 | 2017-11-09T14:58:11.000Z | 2022-02-27T14:35:47.000Z | tests/test_PrettyDuration.py | ryanharvey1/nelpy | 403759eb4e43e5e6eb9f77d6904c72cf28c9e550 | [
"MIT"
] | 112 | 2017-08-13T20:05:15.000Z | 2020-02-02T21:00:03.000Z | tests/test_PrettyDuration.py | ryanharvey1/nelpy | 403759eb4e43e5e6eb9f77d6904c72cf28c9e550 | [
"MIT"
] | 20 | 2017-08-12T20:26:32.000Z | 2021-12-10T13:50:42.000Z | from nelpy.utils import PrettyDuration
class TestPrettyDuration:
def test_1(self):
t = PrettyDuration(180)
assert str(t) == '3:00 minutes'
def test_2(self):
t = PrettyDuration(179.999999)
assert str(t) == '3:00 minutes'
def test_3(self):
t = PrettyDur... | 32.180328 | 66 | 0.606215 | from nelpy.utils import PrettyDuration
class TestPrettyDuration:
def test_1(self):
t = PrettyDuration(180)
assert str(t) == '3:00 minutes'
def test_2(self):
t = PrettyDuration(179.999999)
assert str(t) == '3:00 minutes'
def test_3(self):
t = PrettyDur... | true | true |
f7f23cb9c23c2ac6d49f446b2e0b09006550a74d | 8,294 | py | Python | run.py | kflu/benchmark | 4bf35cf7034a5319d402fa046558cb1a8c6d1a11 | [
"BSD-3-Clause"
] | null | null | null | run.py | kflu/benchmark | 4bf35cf7034a5319d402fa046558cb1a8c6d1a11 | [
"BSD-3-Clause"
] | null | null | null | run.py | kflu/benchmark | 4bf35cf7034a5319d402fa046558cb1a8c6d1a11 | [
"BSD-3-Clause"
] | null | null | null | """
A lightweight runner that just sets up a model and runs one of its functions in a particular configuration.
Intended for debugging/exploration/profiling use cases, where the test/measurement harness is overhead.
DANGER: make sure to `python install.py` first or otherwise make sure the benchmark you are going to r... | 43.197917 | 118 | 0.652158 | import argparse
import time
import numpy as np
import torch.profiler as profiler
from torchbenchmark import load_model_by_name
import torch
WARMUP_ROUNDS = 3
def run_one_step_with_cudastreams(func, streamcount):
print("Running Utilization Scaling Using Cuda Streams")
streamlist = []
for i in range(1, s... | true | true |
f7f23ce45472e6bafb587feea606a8faa304f63c | 2,299 | py | Python | wolfbot.py | brrr2/lykos | 40f9d9c04a4e7ae46236a0334bc4a3169c66961d | [
"BSD-2-Clause"
] | null | null | null | wolfbot.py | brrr2/lykos | 40f9d9c04a4e7ae46236a0334bc4a3169c66961d | [
"BSD-2-Clause"
] | null | null | null | wolfbot.py | brrr2/lykos | 40f9d9c04a4e7ae46236a0334bc4a3169c66961d | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2011 Jimmy Cao
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, mer... | 39.637931 | 96 | 0.662462 |
import sys
if sys.version_info < (3, 2):
print('Python 3.2 or newer is required to run the bot.')
sys.exit(1)
from oyoyo.client import IRCClient
import botconfig
import time
import traceback
import modules.common
import tools
def main():
cli = IRCClient(
{"privmsg... | true | true |
f7f23dca501f902672d8fe401d1a90139b2b6279 | 56,982 | py | Python | cinder/volume/drivers/hitachi/vsp_horcm.py | mail2nsrajesh/cinder | a688b872bec6d1abd4dcd852bdb8e8a921369d2e | [
"Apache-2.0"
] | null | null | null | cinder/volume/drivers/hitachi/vsp_horcm.py | mail2nsrajesh/cinder | a688b872bec6d1abd4dcd852bdb8e8a921369d2e | [
"Apache-2.0"
] | null | null | null | cinder/volume/drivers/hitachi/vsp_horcm.py | mail2nsrajesh/cinder | a688b872bec6d1abd4dcd852bdb8e8a921369d2e | [
"Apache-2.0"
] | null | null | null | # Copyright (C) 2016, Hitachi, Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 39.653445 | 79 | 0.585957 |
import functools
import math
import os
import re
from oslo_config import cfg
from oslo_config import types
from oslo_log import log as logging
from oslo_service import loopingcall
from oslo_utils import excutils
from oslo_utils import timeutils
from oslo_utils import units
import six
from six.moves impo... | true | true |
f7f23e08baeb1b6df2f645d23d7639a4ef3b319a | 6,961 | py | Python | tools/make_test_data.py | shahbazn/ceilometer | 6308a46f14b21fb39c0e728c150ab4efde5b532a | [
"Apache-2.0"
] | null | null | null | tools/make_test_data.py | shahbazn/ceilometer | 6308a46f14b21fb39c0e728c150ab4efde5b532a | [
"Apache-2.0"
] | null | null | null | tools/make_test_data.py | shahbazn/ceilometer | 6308a46f14b21fb39c0e728c150ab4efde5b532a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# Copyright 2012 New Dream Network, LLC (DreamHost)
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | 29.621277 | 79 | 0.604367 |
import argparse
import datetime
import logging
import random
import sys
import uuid
from oslo_config import cfg
from oslo_utils import timeutils
from ceilometer.publisher import utils
from ceilometer import sample
from ceilometer import storage
def make_test_data(name, meter_type, unit, volume, rand... | true | true |
f7f23ea7e5d6e6ecd8c99aa2105e4565c869fcdd | 583 | py | Python | python/underscore.py | mythnc/lab | 9f69482a063e3cfce2ce8832c2ef1425658c31b9 | [
"MIT"
] | null | null | null | python/underscore.py | mythnc/lab | 9f69482a063e3cfce2ce8832c2ef1425658c31b9 | [
"MIT"
] | null | null | null | python/underscore.py | mythnc/lab | 9f69482a063e3cfce2ce8832c2ef1425658c31b9 | [
"MIT"
] | null | null | null | class Test:
def __init__(self):
self.foo = 11
self._bar = 23
self.__baz = 42
def get_gg(self):
return __gg
class ExtendedTest(Test):
def __init__(self):
super().__init__()
self.foo = 'overridden foo'
self._bar = 'overridden _bar'
self.__baz ... | 18.806452 | 39 | 0.576329 | class Test:
def __init__(self):
self.foo = 11
self._bar = 23
self.__baz = 42
def get_gg(self):
return __gg
class ExtendedTest(Test):
def __init__(self):
super().__init__()
self.foo = 'overridden foo'
self._bar = 'overridden _bar'
self.__baz ... | true | true |
f7f23ec1d5ab54c48d9f1fcf05a1540569f0d9d6 | 116 | py | Python | next_burger_house/__init__.py | ayushsubedi/next_burger_house | 269064a01b621e91807043c64927f0398a099002 | [
"MIT"
] | null | null | null | next_burger_house/__init__.py | ayushsubedi/next_burger_house | 269064a01b621e91807043c64927f0398a099002 | [
"MIT"
] | 7 | 2022-01-07T01:20:10.000Z | 2022-01-09T08:07:49.000Z | next_burger_house/__init__.py | ayushsubedi/next_burger_house | 269064a01b621e91807043c64927f0398a099002 | [
"MIT"
] | 2 | 2022-01-07T20:07:01.000Z | 2022-01-09T08:21:21.000Z | from flask import Flask
from os import environ
application = Flask(__name__)
from next_burger_house import routes | 16.571429 | 36 | 0.827586 | from flask import Flask
from os import environ
application = Flask(__name__)
from next_burger_house import routes | true | true |
f7f23f7f6980b2d4cde6d92c1dd66c86ffebccd0 | 1,917 | py | Python | Miscellaneous/findbookleave.py | jan25/code_sorted | f405fd0898f72eb3d5428f9e10aefb4a009d5089 | [
"Unlicense"
] | 2 | 2018-01-18T11:01:36.000Z | 2021-12-20T18:14:48.000Z | Miscellaneous/findbookleave.py | jan25/code_sorted | f405fd0898f72eb3d5428f9e10aefb4a009d5089 | [
"Unlicense"
] | null | null | null | Miscellaneous/findbookleave.py | jan25/code_sorted | f405fd0898f72eb3d5428f9e10aefb4a009d5089 | [
"Unlicense"
] | null | null | null |
class Solution:
def __init__(self, N):
self.n = N
# Auxilary DS to store left/right occupied room for a given occupied room
# Useful in updating heap when book() or leave() is called
self.left_occupied = {}
self.right_occupied = {}
# root element stores longest fre... | 31.42623 | 81 | 0.548774 |
class Solution:
def __init__(self, N):
self.n = N
self.left_occupied = {}
self.right_occupied = {}
self._heap = []
def find_place(self):
optimal_slot = self._heap.top()
l, r = optimal_slot.left_occupied, optimal... | true | true |
f7f23ff7fd8b83e4f5de53a156a46493c8be3216 | 4,973 | py | Python | DataStructures-Algorithms/Udacity-Python-DSA/Projects/Project1-Data-Structures/problem-1-lru-cache.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | 1 | 2020-11-14T18:28:13.000Z | 2020-11-14T18:28:13.000Z | DataStructures-Algorithms/Udacity-Python-DSA/Projects/Project1-Data-Structures/problem-1-lru-cache.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | null | null | null | DataStructures-Algorithms/Udacity-Python-DSA/Projects/Project1-Data-Structures/problem-1-lru-cache.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | null | null | null | class LRUcache:
def __init__(self, capacity=5):
self.cache_size = capacity
self.cache_maps = {}
# Idea for get/put operations: keys of the python dict are
# stored in the order at which they were added, e.g. first
# added key is dict.keys()[0], and so on.
def get(self, ... | 42.144068 | 66 | 0.617736 | class LRUcache:
def __init__(self, capacity=5):
self.cache_size = capacity
self.cache_maps = {}
def get(self, key):
if key in self.cache_maps:
value = self.cache_maps[key]
self.cache_maps.pop(key)
... | true | true |
f7f23ffe95a824cee3976ffc90b61775b525c44a | 2,657 | py | Python | binding_operations.py | tommccoy1/tpdn | a4ea54030056a49e5fd00a700eb71790157bc697 | [
"MIT"
] | 18 | 2018-12-25T21:03:02.000Z | 2022-01-07T17:56:20.000Z | binding_operations.py | tommccoy1/tpdn | a4ea54030056a49e5fd00a700eb71790157bc697 | [
"MIT"
] | null | null | null | binding_operations.py | tommccoy1/tpdn | a4ea54030056a49e5fd00a700eb71790157bc697 | [
"MIT"
] | 3 | 2019-02-15T17:55:30.000Z | 2022-01-31T19:10:06.000Z | import torch
import torch.nn as nn
from torch.autograd import Variable
from torch import optim
import torch.nn.functional as F
import numpy as np
import pickle
# Defines various functions for binding fillers and roles
# Defines the tensor product, used in tensor product representations
class SumFlattenedOuterProduct... | 27.677083 | 93 | 0.640196 | import torch
import torch.nn as nn
from torch.autograd import Variable
from torch import optim
import torch.nn.functional as F
import numpy as np
import pickle
class SumFlattenedOuterProduct(nn.Module):
def __init__(self):
super(SumFlattenedOuterProduct, self).__init__()
def forward(sel... | true | true |
f7f2400e2e5bba9f91e67397c371b842b5d9093c | 23,515 | py | Python | sdk/network/azure-mgmt-network/azure/mgmt/network/v2018_10_01/operations/_network_profiles_operations.py | vbarbaresi/azure-sdk-for-python | 397ba46c51d001ff89c66b170f5576cf8f49c05f | [
"MIT"
] | 8 | 2021-01-13T23:44:08.000Z | 2021-03-17T10:13:36.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2018_10_01/operations/_network_profiles_operations.py | vbarbaresi/azure-sdk-for-python | 397ba46c51d001ff89c66b170f5576cf8f49c05f | [
"MIT"
] | null | null | null | sdk/network/azure-mgmt-network/azure/mgmt/network/v2018_10_01/operations/_network_profiles_operations.py | vbarbaresi/azure-sdk-for-python | 397ba46c51d001ff89c66b170f5576cf8f49c05f | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 47.892057 | 190 | 0.66043 |
from typing import TYPE_CHECKING
import warnings
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.paging import ItemPaged
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport impor... | true | true |
f7f2403f7c14bbff69a3358808010d60ecbedfe0 | 90,218 | py | Python | openmdao/core/tests/test_approx_derivs.py | naylor-b/blue | d7d7e8d63212c047a7a9b0625da98aa29ddc39b4 | [
"Apache-2.0"
] | null | null | null | openmdao/core/tests/test_approx_derivs.py | naylor-b/blue | d7d7e8d63212c047a7a9b0625da98aa29ddc39b4 | [
"Apache-2.0"
] | null | null | null | openmdao/core/tests/test_approx_derivs.py | naylor-b/blue | d7d7e8d63212c047a7a9b0625da98aa29ddc39b4 | [
"Apache-2.0"
] | null | null | null | """ Testing for group finite differencing."""
import itertools
import unittest
from six import iterkeys
from six.moves import range
try:
from parameterized import parameterized
except ImportError:
from openmdao.utils.assert_utils import SkipParameterized as parameterized
import numpy as np
import openmdao.ap... | 39.259356 | 110 | 0.556829 | import itertools
import unittest
from six import iterkeys
from six.moves import range
try:
from parameterized import parameterized
except ImportError:
from openmdao.utils.assert_utils import SkipParameterized as parameterized
import numpy as np
import openmdao.api as om
from openmdao.test_suite.components.im... | true | true |
f7f240a1b71d81d7d59b7e5389bce15e1c151430 | 1,097 | py | Python | exeteraeval/execute_hdf_pandas_t_to_p_join_scenario.py | KCL-BMEIS/ExeTeraEval | c6ef1485aff08fba17cd328a76fcc398c757255d | [
"Apache-2.0"
] | null | null | null | exeteraeval/execute_hdf_pandas_t_to_p_join_scenario.py | KCL-BMEIS/ExeTeraEval | c6ef1485aff08fba17cd328a76fcc398c757255d | [
"Apache-2.0"
] | null | null | null | exeteraeval/execute_hdf_pandas_t_to_p_join_scenario.py | KCL-BMEIS/ExeTeraEval | c6ef1485aff08fba17cd328a76fcc398c757255d | [
"Apache-2.0"
] | null | null | null | import resource
import sys
import time
import numpy as np
import pandas as pd
def go(l_filename, r_filename):
t0 = time.time()
l_df = pd.read_hdf(l_filename)
left_read = time.time() - t0
print("left dataframe read in {}".format(left_read))
t0 = time.time()
r_df = pd.read_hdf(r_filename)
right_read = t... | 26.756098 | 78 | 0.669098 | import resource
import sys
import time
import numpy as np
import pandas as pd
def go(l_filename, r_filename):
t0 = time.time()
l_df = pd.read_hdf(l_filename)
left_read = time.time() - t0
print("left dataframe read in {}".format(left_read))
t0 = time.time()
r_df = pd.read_hdf(r_filename)
right_read = t... | true | true |
f7f240a45ff750fd9e9ebe2c3f538c32d8d1bfc7 | 1,483 | py | Python | tests/nemo_text_processing/vi/test_money.py | hamjam/NeMo | b3484d32e1317666151f931bfa39867d88ed8658 | [
"Apache-2.0"
] | 4,145 | 2019-09-13T08:29:43.000Z | 2022-03-31T18:31:44.000Z | tests/nemo_text_processing/vi/test_money.py | hamjam/NeMo | b3484d32e1317666151f931bfa39867d88ed8658 | [
"Apache-2.0"
] | 2,031 | 2019-09-17T16:51:39.000Z | 2022-03-31T23:52:41.000Z | tests/nemo_text_processing/vi/test_money.py | hamjam/NeMo | b3484d32e1317666151f931bfa39867d88ed8658 | [
"Apache-2.0"
] | 1,041 | 2019-09-13T10:08:21.000Z | 2022-03-30T06:37:38.000Z | # Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | 40.081081 | 111 | 0.769386 |
import pytest
from nemo_text_processing.inverse_text_normalization.inverse_normalize import InverseNormalizer
from parameterized import parameterized
from ..utils import CACHE_DIR, PYNINI_AVAILABLE, parse_test_case_file
class TestMoney:
inverse_normalizer = (
InverseNormalizer(lang='vi', c... | true | true |
f7f2414ce470b4aab74e32d6123d3fb03da763a4 | 572 | py | Python | CommonTools/ParticleFlow/python/pfJets_cff.py | SWuchterl/cmssw | 769b4a7ef81796579af7d626da6039dfa0347b8e | [
"Apache-2.0"
] | 6 | 2017-09-08T14:12:56.000Z | 2022-03-09T23:57:01.000Z | CommonTools/ParticleFlow/python/pfJets_cff.py | SWuchterl/cmssw | 769b4a7ef81796579af7d626da6039dfa0347b8e | [
"Apache-2.0"
] | 545 | 2017-09-19T17:10:19.000Z | 2022-03-07T16:55:27.000Z | CommonTools/ParticleFlow/python/pfJets_cff.py | SWuchterl/cmssw | 769b4a7ef81796579af7d626da6039dfa0347b8e | [
"Apache-2.0"
] | 14 | 2017-10-04T09:47:21.000Z | 2019-10-23T18:04:45.000Z | import FWCore.ParameterSet.Config as cms
from CommonTools.ParticleFlow.ParticleSelectors.ptMinPFJetSelector_cfi import ptMinPFJets as pfJets
from CommonTools.ParticleFlow.Tools.jetTools import jetAlgo
#allPfJets = RecoJets.JetProducers.ic5PFJets_cfi.iterativeCone5PFJets.clone()
pfJets = jetAlgo('AK4')
pfJetsPtrs = ... | 26 | 99 | 0.706294 | import FWCore.ParameterSet.Config as cms
from CommonTools.ParticleFlow.ParticleSelectors.ptMinPFJetSelector_cfi import ptMinPFJets as pfJets
from CommonTools.ParticleFlow.Tools.jetTools import jetAlgo
pfJets = jetAlgo('AK4')
pfJetsPtrs = cms.EDProducer("PFJetFwdPtrProducer",
src=cms.Inp... | true | true |
f7f241b2e2c82afe730693a925b15982e7324e40 | 4,380 | py | Python | cap2/extensions/experimental/covid/align_to_covid_genome.py | jsam356/CAP2 | a76661b089de96b86511d1b0bd86e17680a4db20 | [
"MIT"
] | 9 | 2020-07-10T15:45:12.000Z | 2022-01-19T10:44:13.000Z | cap2/extensions/experimental/covid/align_to_covid_genome.py | jsam356/CAP2 | a76661b089de96b86511d1b0bd86e17680a4db20 | [
"MIT"
] | 14 | 2020-06-15T16:04:54.000Z | 2022-03-12T01:05:47.000Z | cap2/extensions/experimental/covid/align_to_covid_genome.py | jsam356/CAP2 | a76661b089de96b86511d1b0bd86e17680a4db20 | [
"MIT"
] | 5 | 2021-01-05T01:26:48.000Z | 2022-01-23T11:20:49.000Z |
import luigi
import logging
import subprocess
import logging
from os.path import join, dirname, basename
from .covid_genome_db import CovidGenomeDb
from ....pipeline.utils.cap_task import CapTask
from ....pipeline.config import PipelineConfig
from ....pipeline.utils.conda import CondaPackage
from ....pipeline.prepro... | 28.441558 | 90 | 0.563699 |
import luigi
import logging
import subprocess
import logging
from os.path import join, dirname, basename
from .covid_genome_db import CovidGenomeDb
from ....pipeline.utils.cap_task import CapTask
from ....pipeline.config import PipelineConfig
from ....pipeline.utils.conda import CondaPackage
from ....pipeline.prepro... | true | true |
f7f241c462f4c50f742ad6928be08cb003594561 | 1,148 | py | Python | leetcode/85.Maximal-Rectangle.py | sogapalag/problems | 0ea7d65448e1177f8b3f81124a82d187980d659c | [
"MIT"
] | 1 | 2020-04-04T14:56:12.000Z | 2020-04-04T14:56:12.000Z | leetcode/85.Maximal-Rectangle.py | sogapalag/problems | 0ea7d65448e1177f8b3f81124a82d187980d659c | [
"MIT"
] | null | null | null | leetcode/85.Maximal-Rectangle.py | sogapalag/problems | 0ea7d65448e1177f8b3f81124a82d187980d659c | [
"MIT"
] | null | null | null | class Solution(object):
def maximalRectangle(self, matrix):
"""
:type matrix: List[List[str]]
:rtype: int
"""
# related to 84.py
if not matrix:
return 0
m, n = len(matrix), len(matrix[0])
max_area = 0
for i in range(m):
... | 33.764706 | 59 | 0.398084 | class Solution(object):
def maximalRectangle(self, matrix):
if not matrix:
return 0
m, n = len(matrix), len(matrix[0])
max_area = 0
for i in range(m):
stack = [(0, 0)]
res = 0
for j in range(n):
... | true | true |
f7f241e298822475e8fab99ac95f631377b3423c | 1,467 | py | Python | peek/es_api_spec/spec_json.py | ywangd/peek | 25d196b614acaf9c2f9fe4b8fea36a06554950cd | [
"MIT"
] | 16 | 2020-08-31T02:06:23.000Z | 2022-01-31T23:56:44.000Z | peek/es_api_spec/spec_json.py | ywangd/peek | 25d196b614acaf9c2f9fe4b8fea36a06554950cd | [
"MIT"
] | 97 | 2020-08-27T14:51:32.000Z | 2021-10-21T00:19:31.000Z | peek/es_api_spec/spec_json.py | ywangd/peek | 25d196b614acaf9c2f9fe4b8fea36a06554950cd | [
"MIT"
] | 1 | 2021-02-07T13:10:38.000Z | 2021-02-07T13:10:38.000Z | import json
import logging
import os
_logger = logging.getLogger(__name__)
def load_json_specs(kibana_dir):
oss_path = os.path.join(
kibana_dir, 'src', 'plugins', 'console', 'server', 'lib', 'spec_definitions')
xpack_path = os.path.join(
kibana_dir, 'x-pack', 'plugins', 'console_extensions', ... | 34.116279 | 99 | 0.534424 | import json
import logging
import os
_logger = logging.getLogger(__name__)
def load_json_specs(kibana_dir):
oss_path = os.path.join(
kibana_dir, 'src', 'plugins', 'console', 'server', 'lib', 'spec_definitions')
xpack_path = os.path.join(
kibana_dir, 'x-pack', 'plugins', 'console_extensions', ... | true | true |
f7f242f0149fa5808354cc9208e1c86808418e15 | 1,731 | py | Python | Classification/attack_algo.py | VITA-Group/CV_A-FAN | d5cc54bfea4636868b192ac2a628ac74446db88f | [
"MIT"
] | 13 | 2021-03-24T02:13:39.000Z | 2022-02-07T11:08:43.000Z | Classification/attack_algo.py | VITA-Group/CV_A-FAN | d5cc54bfea4636868b192ac2a628ac74446db88f | [
"MIT"
] | 1 | 2022-01-10T22:08:49.000Z | 2022-01-10T22:08:49.000Z | Classification/attack_algo.py | VITA-Group/CV_A-FAN | d5cc54bfea4636868b192ac2a628ac74446db88f | [
"MIT"
] | 1 | 2021-06-21T17:18:06.000Z | 2021-06-21T17:18:06.000Z | import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.functional as F
import pdb
import numpy as np
def tensor_clamp(t, min, max, in_place=True):
if not in_place:
res = t.clone()
else:
res = t
idx = res.data < min
res.data[idx] = min[idx]
... | 29.338983 | 133 | 0.614096 | import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.functional as F
import pdb
import numpy as np
def tensor_clamp(t, min, max, in_place=True):
if not in_place:
res = t.clone()
else:
res = t
idx = res.data < min
res.data[idx] = min[idx]
... | true | true |
f7f243b4aad7ee0dd1c2d586c81aa4edc8a2ce1e | 99,669 | py | Python | custom/ckan/ckan/logic/action/get.py | lynxlab/ckanext-lait | baee73a89ca587c391befaf9a95f070ff77f49ec | [
"Apache-2.0"
] | null | null | null | custom/ckan/ckan/logic/action/get.py | lynxlab/ckanext-lait | baee73a89ca587c391befaf9a95f070ff77f49ec | [
"Apache-2.0"
] | null | null | null | custom/ckan/ckan/logic/action/get.py | lynxlab/ckanext-lait | baee73a89ca587c391befaf9a95f070ff77f49ec | [
"Apache-2.0"
] | null | null | null | '''API functions for searching for and getting data from CKAN.'''
import uuid
import logging
import json
import datetime
import socket
from pylons import config
import sqlalchemy
import ckan.lib.dictization
import ckan.logic as logic
import ckan.logic.action
import ckan.logic.schema
import ckan.lib.dictization.model... | 33.660588 | 95 | 0.659583 |
import uuid
import logging
import json
import datetime
import socket
from pylons import config
import sqlalchemy
import ckan.lib.dictization
import ckan.logic as logic
import ckan.logic.action
import ckan.logic.schema
import ckan.lib.dictization.model_dictize as model_dictize
import ckan.lib.navl.dictization_functio... | true | true |
f7f243d30ae5741f7a3087f6b4ed4aea4312a32c | 1,980 | py | Python | bot.py | Vaughan-Esports/MovieTime | 00979f0a629e9b0f358115b9a2e22e93b186f1d1 | [
"MIT"
] | null | null | null | bot.py | Vaughan-Esports/MovieTime | 00979f0a629e9b0f358115b9a2e22e93b186f1d1 | [
"MIT"
] | 2 | 2022-01-13T03:42:41.000Z | 2022-03-12T00:57:15.000Z | bot.py | Vaughan-Esports/MovieTime | 00979f0a629e9b0f358115b9a2e22e93b186f1d1 | [
"MIT"
] | null | null | null | import asyncio
import os
from os.path import join, dirname
import discord
from discord.ext import commands
from dotenv import load_dotenv
from movietime import tiktok_blur
from imgur import upload
from settings import *
# discord gateway intents
intents = discord.Intents.default()
allowed_mentions = discord.Allowed... | 29.552239 | 81 | 0.629293 | import asyncio
import os
from os.path import join, dirname
import discord
from discord.ext import commands
from dotenv import load_dotenv
from movietime import tiktok_blur
from imgur import upload
from settings import *
intents = discord.Intents.default()
allowed_mentions = discord.AllowedMentions(everyone=False,
... | true | true |
f7f2447383b6d5424b406f256b73745ed1124af7 | 1,426 | py | Python | api/lcp/hash.py | tdilauro/simplified-circulation | f52d333616f63e2bff0cf1de98ef301bf152fba1 | [
"Apache-2.0"
] | null | null | null | api/lcp/hash.py | tdilauro/simplified-circulation | f52d333616f63e2bff0cf1de98ef301bf152fba1 | [
"Apache-2.0"
] | null | null | null | api/lcp/hash.py | tdilauro/simplified-circulation | f52d333616f63e2bff0cf1de98ef301bf152fba1 | [
"Apache-2.0"
] | null | null | null | import hashlib
from abc import ABCMeta, abstractmethod
from enum import Enum
from core.exceptions import BaseError
class HashingAlgorithm(Enum):
SHA256 = 'http://www.w3.org/2001/04/xmlenc#sha256'
SHA512 = 'http://www.w3.org/2001/04/xmlenc#sha512'
class HashingError(BaseError):
"""Raised in the case of... | 29.102041 | 97 | 0.715989 | import hashlib
from abc import ABCMeta, abstractmethod
from enum import Enum
from core.exceptions import BaseError
class HashingAlgorithm(Enum):
SHA256 = 'http://www.w3.org/2001/04/xmlenc#sha256'
SHA512 = 'http://www.w3.org/2001/04/xmlenc#sha512'
class HashingError(BaseError):
class Hasher(object):
... | true | true |
f7f2453dabdf230e3a6155d11ae3f271523c4ede | 1,506 | py | Python | users/factories.py | mitodl/mitxonline | adf6084b1f4addd57473153ed6bd08ea09bc4685 | [
"BSD-3-Clause"
] | null | null | null | users/factories.py | mitodl/mitxonline | adf6084b1f4addd57473153ed6bd08ea09bc4685 | [
"BSD-3-Clause"
] | 420 | 2021-07-13T14:58:52.000Z | 2022-03-31T20:50:10.000Z | users/factories.py | mitodl/mitx-online | adf6084b1f4addd57473153ed6bd08ea09bc4685 | [
"BSD-3-Clause"
] | 1 | 2021-07-25T21:28:32.000Z | 2021-07-25T21:28:32.000Z | """Factory for Users"""
from factory import (
Faker,
RelatedFactory,
SubFactory,
Trait,
fuzzy,
)
from factory.django import DjangoModelFactory
from factory.fuzzy import FuzzyText
from social_django.models import UserSocialAuth
from users.models import GENDER_CHOICES, LegalAddress, Profile, User
c... | 22.818182 | 81 | 0.699867 | from factory import (
Faker,
RelatedFactory,
SubFactory,
Trait,
fuzzy,
)
from factory.django import DjangoModelFactory
from factory.fuzzy import FuzzyText
from social_django.models import UserSocialAuth
from users.models import GENDER_CHOICES, LegalAddress, Profile, User
class UserFactory(DjangoM... | true | true |
f7f2453e3fd0cb0d8b70c8946adcafea187684b7 | 5,651 | py | Python | hider/timegan/modules/model_utils.py | mcps5601/TimeGAN-tensorflow2 | 6f68f9ae9d9eb6f7f9e0992a5dde75c697fc0655 | [
"MIT"
] | 1 | 2021-04-16T07:20:05.000Z | 2021-04-16T07:20:05.000Z | hider/timegan/modules/model_utils.py | mcps5601/TimeGAN-tensorflow2 | 6f68f9ae9d9eb6f7f9e0992a5dde75c697fc0655 | [
"MIT"
] | 1 | 2021-08-09T10:52:25.000Z | 2021-08-09T10:52:25.000Z | hider/timegan/modules/model_utils.py | mcps5601/TimeGAN-tensorflow2 | 6f68f9ae9d9eb6f7f9e0992a5dde75c697fc0655 | [
"MIT"
] | null | null | null | import tensorflow as tf
import numpy as np
from .layer_norm_module import LSTMLNCell, LSTMLN
import json
def train_test_divide(data_x, data_x_hat, data_t, data_t_hat, train_rate = 0.8):
"""Divide train and test data for both original and synthetic data.
Args:
data_x: original_data
data_x_hat: ... | 30.711957 | 98 | 0.61989 | import tensorflow as tf
import numpy as np
from .layer_norm_module import LSTMLNCell, LSTMLN
import json
def train_test_divide(data_x, data_x_hat, data_t, data_t_hat, train_rate = 0.8):
total_num = len(data)
idx = np.random.permutation(total_num)
train_idx = idx[:int(total_num * train_rate)]
test... | true | true |
f7f245d9d8f587ad190758590eff1aa48eff5d94 | 64,027 | py | Python | tests/test_activate.py | areading314/conda | c9aa50360af308048f57bc2d1c9ae5707e057e3b | [
"BSD-3-Clause"
] | null | null | null | tests/test_activate.py | areading314/conda | c9aa50360af308048f57bc2d1c9ae5707e057e3b | [
"BSD-3-Clause"
] | null | null | null | tests/test_activate.py | areading314/conda | c9aa50360af308048f57bc2d1c9ae5707e057e3b | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
from datetime import datetime
from logging import getLogger
import os
from os.path import dirname, isdir, join
import sys
from tempfile import gettempdir
from unittest import TestCase
from uuid import uuid4
from... | 41.929928 | 176 | 0.573102 |
from __future__ import absolute_import, division, print_function, unicode_literals
from datetime import datetime
from logging import getLogger
import os
from os.path import dirname, isdir, join
import sys
from tempfile import gettempdir
from unittest import TestCase
from uuid import uuid4
from conda import CONDA_PAC... | false | true |
f7f247fd37ffe50adacab011773fea744f484d95 | 284,947 | py | Python | tests/admin_views/tests.py | mackong/django | 40ff93310f03dc89a6281a846b1a1ec4cb672bd0 | [
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null | tests/admin_views/tests.py | mackong/django | 40ff93310f03dc89a6281a846b1a1ec4cb672bd0 | [
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null | tests/admin_views/tests.py | mackong/django | 40ff93310f03dc89a6281a846b1a1ec4cb672bd0 | [
"PSF-2.0",
"BSD-3-Clause"
] | 1 | 2018-05-22T10:10:35.000Z | 2018-05-22T10:10:35.000Z | import datetime
import os
import re
import unittest
from urllib.parse import parse_qsl, urljoin, urlparse
import pytz
from django.contrib.admin import AdminSite, ModelAdmin
from django.contrib.admin.helpers import ACTION_CHECKBOX_NAME
from django.contrib.admin.models import ADDITION, DELETION, LogEntry
from django.co... | 46.92803 | 119 | 0.651739 | import datetime
import os
import re
import unittest
from urllib.parse import parse_qsl, urljoin, urlparse
import pytz
from django.contrib.admin import AdminSite, ModelAdmin
from django.contrib.admin.helpers import ACTION_CHECKBOX_NAME
from django.contrib.admin.models import ADDITION, DELETION, LogEntry
from django.co... | true | true |
f7f24888cbf5774159dca6b716915c6b0a40f292 | 15,922 | py | Python | hessen/trainingdb/views_show.py | shagun30/djambala-2 | 06f14e3dd237d7ebf535c62172cfe238c3934f4d | [
"BSD-3-Clause"
] | null | null | null | hessen/trainingdb/views_show.py | shagun30/djambala-2 | 06f14e3dd237d7ebf535c62172cfe238c3934f4d | [
"BSD-3-Clause"
] | null | null | null | hessen/trainingdb/views_show.py | shagun30/djambala-2 | 06f14e3dd237d7ebf535c62172cfe238c3934f4d | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
/dms/hessen/trainingdb/views_show.py
.. zeigt die Inhalte der Fortbildungsdatenbank an
Django content Management System
Hans Rauch
hans.rauch@gmx.net
Die Programme des dms-Systems koennen frei genutzt und den spezifischen
Beduerfnissen entsprechend angepasst werden.
0.01 18.02.... | 46.967552 | 106 | 0.656199 |
from django.template.loader import get_template
from django.template import Context
from django import newforms as forms
from django.shortcuts import render_to_response
from django.utils.safestring import mark_safe
from django.utils.translation import ugettext as _
from dms.utils_form import g... | true | true |
f7f24955f40ac5563db1a93ea62b63e7c2029d1a | 66,793 | py | Python | robot/Cumulus/resources/NPSP.py | jtconrad/NPSP | a91e66e6bfdf55ce0e3d3dedbe770ec3483dee3f | [
"BSD-3-Clause"
] | null | null | null | robot/Cumulus/resources/NPSP.py | jtconrad/NPSP | a91e66e6bfdf55ce0e3d3dedbe770ec3483dee3f | [
"BSD-3-Clause"
] | null | null | null | robot/Cumulus/resources/NPSP.py | jtconrad/NPSP | a91e66e6bfdf55ce0e3d3dedbe770ec3483dee3f | [
"BSD-3-Clause"
] | null | null | null | import logging
import warnings
import time
import random
import string
from datetime import datetime
from robot.libraries.BuiltIn import RobotNotRunningError
from selenium.common.exceptions import ElementNotInteractableException
from selenium.common.exceptions import StaleElementReferenceException
from selenium.commo... | 46.77381 | 145 | 0.626907 | import logging
import warnings
import time
import random
import string
from datetime import datetime
from robot.libraries.BuiltIn import RobotNotRunningError
from selenium.common.exceptions import ElementNotInteractableException
from selenium.common.exceptions import StaleElementReferenceException
from selenium.commo... | true | true |
f7f2495c72f7c5580b91bfdafaa18b25dca9e5e8 | 2,590 | py | Python | recognize_faces_image.py | Selva-Subramanian/FaceRecognition-FaceDetection | 6c6439cf080ac254e1dbf4f1ad034696fca6dad8 | [
"MIT"
] | null | null | null | recognize_faces_image.py | Selva-Subramanian/FaceRecognition-FaceDetection | 6c6439cf080ac254e1dbf4f1ad034696fca6dad8 | [
"MIT"
] | null | null | null | recognize_faces_image.py | Selva-Subramanian/FaceRecognition-FaceDetection | 6c6439cf080ac254e1dbf4f1ad034696fca6dad8 | [
"MIT"
] | null | null | null | # import the necessary packages
import face_recognition
import argparse
import pickle
import cv2
# construct the argument parser and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-e", "--encodings", required=True,
help="path to serialized db of facial encodings")
ap.add_argument("-i", "-... | 35.972222 | 70 | 0.702703 |
import face_recognition
import argparse
import pickle
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-e", "--encodings", required=True,
help="path to serialized db of facial encodings")
ap.add_argument("-i", "--image", required=True,
help="path to input image")
ap.add_argument("-d", "--detectio... | true | true |
f7f249d4c1d9c2ac480da1f39e73b4abb2ea30f9 | 5,996 | py | Python | continuity/cli/utils.py | jzempel/continuity | a42a78c3961d8a0e51a2ff7ddffcc10c958c2923 | [
"BSD-3-Clause"
] | 13 | 2015-02-25T18:03:09.000Z | 2019-10-23T09:01:53.000Z | continuity/cli/utils.py | jzempel/continuity | a42a78c3961d8a0e51a2ff7ddffcc10c958c2923 | [
"BSD-3-Clause"
] | 15 | 2015-01-21T17:22:30.000Z | 2017-12-16T01:42:17.000Z | continuity/cli/utils.py | jzempel/continuity | a42a78c3961d8a0e51a2ff7ddffcc10c958c2923 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
continuity.cli.utils
~~~~~~~~~~~~~~~~~~~~
Continuity command line utilities.
:copyright: 2015 by Jonathan Zempel.
:license: BSD, see LICENSE for more details.
"""
from clint.textui import puts as _puts
from curses.ascii import ctrl, CR, EOT, ETX, isctrl, LF
from getch.... | 29.24878 | 79 | 0.59473 |
"""
continuity.cli.utils
~~~~~~~~~~~~~~~~~~~~
Continuity command line utilities.
:copyright: 2015 by Jonathan Zempel.
:license: BSD, see LICENSE for more details.
"""
from clint.textui import puts as _puts
from curses.ascii import ctrl, CR, EOT, ETX, isctrl, LF
from getch.getch import getch
from... | false | true |
f7f24a57d706bf636f7a9a7cb21bd926c665729d | 7,130 | py | Python | fastreid/solver/optim/ranger.py | SZLSP/reid2020NAIC | d0eaee768e0be606417a27ce5ea2b3071b5a9bc2 | [
"Apache-2.0"
] | 2 | 2021-05-12T13:36:46.000Z | 2021-08-15T10:35:08.000Z | fastreid/solver/optim/ranger.py | SZLSP/reid2020NAIC | d0eaee768e0be606417a27ce5ea2b3071b5a9bc2 | [
"Apache-2.0"
] | 1 | 2021-12-28T12:49:49.000Z | 2021-12-28T12:49:49.000Z | fastreid/solver/optim/ranger.py | SZLSP/reid2020NAIC | d0eaee768e0be606417a27ce5ea2b3071b5a9bc2 | [
"Apache-2.0"
] | null | null | null | # Ranger deep learning optimizer - RAdam + Lookahead combined.
# https://github.com/lessw2020/Ranger-Deep-Learning-Optimizer
# Ranger has now been used to capture 12 records on the FastAI leaderboard.
# This version = 9.3.19
# Credits:
# RAdam --> https://github.com/LiyuanLucasLiu/RAdam
# Lookahead --> rewritten by... | 42.694611 | 132 | 0.566059 |
import math
import torch
from torch.optim.optimizer import Optimizer
class Ranger(Optimizer):
def __init__(self, params, lr=1e-3, alpha=0.5, k=6, N_sma_threshhold=5, betas=(.95, 0.999), eps=1e-5,
weight_decay=0):
if not 0.0 <= alpha <= 1.0:
raise V... | true | true |
f7f24bbc044d0bb485d699842b427231f9ec1c3e | 4,475 | py | Python | python/v3_0/dfareporting_utils.py | Ankan1991/googleads-dfa-reporting-samples | 73ba89f329012d4792b7592d8d964cb3a6f76801 | [
"Apache-2.0"
] | 1 | 2019-04-18T13:52:22.000Z | 2019-04-18T13:52:22.000Z | python/v3_0/dfareporting_utils.py | Ankan1991/googleads-dfa-reporting-samples | 73ba89f329012d4792b7592d8d964cb3a6f76801 | [
"Apache-2.0"
] | null | null | null | python/v3_0/dfareporting_utils.py | Ankan1991/googleads-dfa-reporting-samples | 73ba89f329012d4792b7592d8d964cb3a6f76801 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
#
# Copyright 2015 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | 33.646617 | 80 | 0.750615 |
import argparse
import os
from googleapiclient import discovery
import httplib2
from oauth2client import client
from oauth2client import file as oauthFile
from oauth2client import tools
API_NAME = 'dfareporting'
API_VERSION = 'v3.0'
API_SCOPES = ['https://www.googleapis.com/auth/dfareporting',
... | true | true |
f7f24c2a0a105b99f5907716e0fd64cc995ce904 | 3,245 | py | Python | pyserve/big_server.py | ShenDezhou/CASE | 346b38bd8a7b8003953640df86d74da4294b4e4f | [
"Apache-2.0"
] | null | null | null | pyserve/big_server.py | ShenDezhou/CASE | 346b38bd8a7b8003953640df86d74da4294b4e4f | [
"Apache-2.0"
] | null | null | null | pyserve/big_server.py | ShenDezhou/CASE | 346b38bd8a7b8003953640df86d74da4294b4e4f | [
"Apache-2.0"
] | null | null | null | import codecs
import logging
import os
import falcon
from falcon_cors import CORS
import json
import waitress
logging.basicConfig(level=logging.INFO, format='%(asctime)-18s %(message)s')
l = logging.getLogger()
cors_allow_all = CORS(allow_all_origins=True,
allow_origins_list=['http://localhost:... | 37.732558 | 83 | 0.579661 | import codecs
import logging
import os
import falcon
from falcon_cors import CORS
import json
import waitress
logging.basicConfig(level=logging.INFO, format='%(asctime)-18s %(message)s')
l = logging.getLogger()
cors_allow_all = CORS(allow_all_origins=True,
allow_origins_list=['http://localhost:... | true | true |
f7f24da8ba4029a6d3c34b8b09c8a94b84ec02bc | 960 | py | Python | setup.py | willandskill/bacman | c80470f6f25de66033618bb345377834de1b97f1 | [
"BSD-3-Clause"
] | 1 | 2020-09-01T15:00:20.000Z | 2020-09-01T15:00:20.000Z | setup.py | willandskill/bacman | c80470f6f25de66033618bb345377834de1b97f1 | [
"BSD-3-Clause"
] | null | null | null | setup.py | willandskill/bacman | c80470f6f25de66033618bb345377834de1b97f1 | [
"BSD-3-Clause"
] | 1 | 2020-09-01T15:00:23.000Z | 2020-09-01T15:00:23.000Z | # -*- coding: utf-8 -*-
from distutils.core import setup
from setuptools import find_packages
# Read the contents of your README file
from os import path
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
set... | 32 | 94 | 0.692708 |
from distutils.core import setup
from setuptools import find_packages
from os import path
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='bacman',
version='0.3',
author=u'Will & ... | true | true |
f7f24dc7a02b155817445b42c4aa3f4ecb2a48cf | 3,185 | py | Python | accounts/models.py | Manasranjanpati/Jobpost | e5654129538e70cedf8aafc65c1b0289a01535e5 | [
"MIT"
] | 20 | 2018-05-04T18:42:35.000Z | 2021-03-18T07:15:12.000Z | src/accounts/models.py | fleepgeek/django-jobsite | d9547c4ee85751677ba6458380b609973c3b4a8d | [
"MIT"
] | 5 | 2020-02-11T22:22:33.000Z | 2021-06-10T20:18:05.000Z | accounts/models.py | Manasranjanpati/Jobpost | e5654129538e70cedf8aafc65c1b0289a01535e5 | [
"MIT"
] | 8 | 2018-05-04T19:03:23.000Z | 2020-09-23T00:24:46.000Z | from django.db import models
from django.contrib.auth.models import AbstractBaseUser, PermissionsMixin
from django.utils.translation import gettext_lazy as _
from django.template.defaultfilters import slugify
from .managers import UserManager
class User(AbstractBaseUser, PermissionsMixin):
full_name ... | 35 | 121 | 0.661852 | from django.db import models
from django.contrib.auth.models import AbstractBaseUser, PermissionsMixin
from django.utils.translation import gettext_lazy as _
from django.template.defaultfilters import slugify
from .managers import UserManager
class User(AbstractBaseUser, PermissionsMixin):
full_name ... | true | true |
f7f25070887e008421d350614d56e80e42dd6456 | 11,872 | py | Python | core/dbt/task/runnable.py | tjengel/dbt | f985902a002fba36f6f709c6aacf9ae20778e58c | [
"Apache-2.0"
] | null | null | null | core/dbt/task/runnable.py | tjengel/dbt | f985902a002fba36f6f709c6aacf9ae20778e58c | [
"Apache-2.0"
] | null | null | null | core/dbt/task/runnable.py | tjengel/dbt | f985902a002fba36f6f709c6aacf9ae20778e58c | [
"Apache-2.0"
] | null | null | null | import os
import time
from datetime import datetime
from multiprocessing.dummy import Pool as ThreadPool
from dbt.task.base import ConfiguredTask
from dbt.adapters.factory import get_adapter
from dbt.logger import (
GLOBAL_LOGGER as logger,
DbtProcessState,
TextOnly,
UniqueID,
TimestampNamed,
D... | 33.162011 | 79 | 0.620199 | import os
import time
from datetime import datetime
from multiprocessing.dummy import Pool as ThreadPool
from dbt.task.base import ConfiguredTask
from dbt.adapters.factory import get_adapter
from dbt.logger import (
GLOBAL_LOGGER as logger,
DbtProcessState,
TextOnly,
UniqueID,
TimestampNamed,
D... | true | true |
f7f25077e4a9f1055f30e6e528e28c9a98cbffc6 | 18,586 | py | Python | tests/base/managers/entity.py | Br3nda/pontoon | f8749dcb25c75954761e67344a21d19f70900e70 | [
"BSD-3-Clause"
] | null | null | null | tests/base/managers/entity.py | Br3nda/pontoon | f8749dcb25c75954761e67344a21d19f70900e70 | [
"BSD-3-Clause"
] | null | null | null | tests/base/managers/entity.py | Br3nda/pontoon | f8749dcb25c75954761e67344a21d19f70900e70 | [
"BSD-3-Clause"
] | 1 | 2019-07-17T21:21:41.000Z | 2019-07-17T21:21:41.000Z | # -*- coding: utf-8 -*-
import pytest
from pontoon.base.models import Entity, Translation
@pytest.mark.django_db
def test_mgr_entity_filter_translated(resource0, locale0):
entities = [
Entity.objects.create(
resource=resource0,
string="testentity%s" % i)
for i in range(0,... | 28.246201 | 83 | 0.592812 |
import pytest
from pontoon.base.models import Entity, Translation
@pytest.mark.django_db
def test_mgr_entity_filter_translated(resource0, locale0):
entities = [
Entity.objects.create(
resource=resource0,
string="testentity%s" % i)
for i in range(0, 3)]
Translation.ob... | true | true |
f7f251b7a487a7170ef149046966129f085d25ed | 4,971 | py | Python | env/lib/python3.8/site-packages/plotly/validators/heatmap/__init__.py | acrucetta/Chicago_COVI_WebApp | a37c9f492a20dcd625f8647067394617988de913 | [
"MIT",
"Unlicense"
] | 2 | 2021-07-07T20:16:23.000Z | 2021-07-14T14:03:09.000Z | env/lib/python3.8/site-packages/plotly/validators/heatmap/__init__.py | acrucetta/Chicago_COVI_WebApp | a37c9f492a20dcd625f8647067394617988de913 | [
"MIT",
"Unlicense"
] | 5 | 2020-06-05T20:56:21.000Z | 2021-09-22T19:12:42.000Z | env/lib/python3.8/site-packages/plotly/validators/heatmap/__init__.py | acrucetta/Chicago_COVI_WebApp | a37c9f492a20dcd625f8647067394617988de913 | [
"MIT",
"Unlicense"
] | 2 | 2020-07-05T12:57:14.000Z | 2020-07-05T12:58:00.000Z | import sys
if sys.version_info < (3, 7):
from ._zsrc import ZsrcValidator
from ._zsmooth import ZsmoothValidator
from ._zmin import ZminValidator
from ._zmid import ZmidValidator
from ._zmax import ZmaxValidator
from ._zhoverformat import ZhoverformatValidator
from ._zauto import ZautoValid... | 39.768 | 60 | 0.678133 | import sys
if sys.version_info < (3, 7):
from ._zsrc import ZsrcValidator
from ._zsmooth import ZsmoothValidator
from ._zmin import ZminValidator
from ._zmid import ZmidValidator
from ._zmax import ZmaxValidator
from ._zhoverformat import ZhoverformatValidator
from ._zauto import ZautoValid... | true | true |
f7f2520005caea91a1eb3d8572acf05754741856 | 8,540 | py | Python | payment_lib_examples/alipay-sdk-python/virtual_environment/lib/python3.4/site-packages/alipay/aop/api/domain/KoubeiMarketingCampaignMemberTemplateCreateModel.py | cuhk-mobitec/S3KVetter | 9ae79a242afbe6edae27c17065a88feca2896cf6 | [
"Apache-2.0"
] | null | null | null | payment_lib_examples/alipay-sdk-python/virtual_environment/lib/python3.4/site-packages/alipay/aop/api/domain/KoubeiMarketingCampaignMemberTemplateCreateModel.py | cuhk-mobitec/S3KVetter | 9ae79a242afbe6edae27c17065a88feca2896cf6 | [
"Apache-2.0"
] | null | null | null | payment_lib_examples/alipay-sdk-python/virtual_environment/lib/python3.4/site-packages/alipay/aop/api/domain/KoubeiMarketingCampaignMemberTemplateCreateModel.py | cuhk-mobitec/S3KVetter | 9ae79a242afbe6edae27c17065a88feca2896cf6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.MemberActionModel import MemberActionModel
from alipay.aop.api.domain.MemberAssetModel import MemberAssetModel
from alipay.aop.api.domain.MemberBenefitModel import MemberBenefitMode... | 37.45614 | 88 | 0.601522 |
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.MemberActionModel import MemberActionModel
from alipay.aop.api.domain.MemberAssetModel import MemberAssetModel
from alipay.aop.api.domain.MemberBenefitModel import MemberBenefitModel
from alipay.aop.api.domain.MemberLevelMode... | true | true |
f7f25205a41e4e77c95260258ee5ad3e737f2e23 | 3,928 | py | Python | src/pymgrit/heat/vector_heat_1d_2pts.py | jbschroder/pymgrit | 5c866c633dea3ebccf812550e0303f47771c4faf | [
"MIT"
] | null | null | null | src/pymgrit/heat/vector_heat_1d_2pts.py | jbschroder/pymgrit | 5c866c633dea3ebccf812550e0303f47771c4faf | [
"MIT"
] | null | null | null | src/pymgrit/heat/vector_heat_1d_2pts.py | jbschroder/pymgrit | 5c866c633dea3ebccf812550e0303f47771c4faf | [
"MIT"
] | null | null | null | """
Vector class for 1D heat problem
Note: values at two consecutive time points are grouped as pairs
"""
import numpy as np
from pymgrit.core.vector import Vector
class VectorHeat1D2Pts(Vector):
"""
Vector class for grouping values at two consecutive time points
"""
def __init__(self, size, dtau)... | 30.449612 | 111 | 0.640784 |
import numpy as np
from pymgrit.core.vector import Vector
class VectorHeat1D2Pts(Vector):
def __init__(self, size, dtau):
super().__init__()
self.size = size
self.dtau = dtau
self.values_first_time_point = np.zeros(size)
self.values_second_time_point = np.zeros(size)
... | true | true |
f7f25321c7fb98483ef64fc3682ca2fa6ba71acc | 627 | py | Python | rconweb/manage.py | mkuehn87/hll_rcon_tool | c380b21bbbd5645fd04637b992f1ffb2556ce6fc | [
"MIT"
] | 49 | 2020-03-07T13:09:21.000Z | 2022-03-19T14:24:13.000Z | rconweb/manage.py | mkuehn87/hll_rcon_tool | c380b21bbbd5645fd04637b992f1ffb2556ce6fc | [
"MIT"
] | 48 | 2020-03-26T22:19:40.000Z | 2021-12-12T17:31:06.000Z | rconweb/manage.py | mkuehn87/hll_rcon_tool | c380b21bbbd5645fd04637b992f1ffb2556ce6fc | [
"MIT"
] | 48 | 2020-03-03T09:44:36.000Z | 2022-03-18T07:33:39.000Z | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'rconweb.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise Import... | 28.5 | 73 | 0.682616 |
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'rconweb.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's installed and "
... | true | true |
f7f25341e310536f58e543a46b93d71ad0d1503a | 2,429 | py | Python | huaweicloud-sdk-cpts/huaweicloudsdkcpts/v1/model/delete_project_response.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 64 | 2020-06-12T07:05:07.000Z | 2022-03-30T03:32:50.000Z | huaweicloud-sdk-cpts/huaweicloudsdkcpts/v1/model/delete_project_response.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 11 | 2020-07-06T07:56:54.000Z | 2022-01-11T11:14:40.000Z | huaweicloud-sdk-cpts/huaweicloudsdkcpts/v1/model/delete_project_response.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 24 | 2020-06-08T11:42:13.000Z | 2022-03-04T06:44:08.000Z | # coding: utf-8
import re
import six
from huaweicloudsdkcore.sdk_response import SdkResponse
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class DeleteProjectResponse(SdkResponse):
"""
Attributes:
openapi_types (dict): The key is attribute name
... | 28.244186 | 79 | 0.550021 |
import re
import six
from huaweicloudsdkcore.sdk_response import SdkResponse
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class DeleteProjectResponse(SdkResponse):
sensitive_list = []
openapi_types = {
}
attribute_map = {
}
def __init__(self):
... | true | true |
f7f254c364ccc23525182eb749aecda2c2112992 | 23,197 | py | Python | nova/api/ec2/__init__.py | vmthunder/nova | baf05caab705c5778348d9f275dc541747b7c2de | [
"Apache-2.0"
] | null | null | null | nova/api/ec2/__init__.py | vmthunder/nova | baf05caab705c5778348d9f275dc541747b7c2de | [
"Apache-2.0"
] | null | null | null | nova/api/ec2/__init__.py | vmthunder/nova | baf05caab705c5778348d9f275dc541747b7c2de | [
"Apache-2.0"
] | null | null | null | # Copyright 2010 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a ... | 39.316949 | 79 | 0.5965 |
from eventlet.green import httplib
from oslo.config import cfg
from oslo.utils import importutils
from oslo.utils import timeutils
import six
import six.moves.urllib.parse as urlparse
import webob
import webob.dec
import webob.exc
from nova.api.ec2 import apirequest
from nova.api.ec2 import ec2utils
fr... | true | true |
f7f25571a52fe73b3147ab2d87628a8ff80ddb94 | 12,981 | py | Python | train/jfda/detector.py | jasongwq/MTCNN | 168d346461fd7e7c59e4f911296cfa6133dc2ea5 | [
"MIT"
] | 431 | 2017-09-27T07:46:23.000Z | 2022-03-31T14:01:51.000Z | train/jfda/detector.py | jasongwq/MTCNN | 168d346461fd7e7c59e4f911296cfa6133dc2ea5 | [
"MIT"
] | 18 | 2017-10-08T16:46:40.000Z | 2022-01-24T12:38:08.000Z | train/jfda/detector.py | jasongwq/MTCNN | 168d346461fd7e7c59e4f911296cfa6133dc2ea5 | [
"MIT"
] | 131 | 2017-10-11T06:57:30.000Z | 2022-03-13T06:47:17.000Z | # pylint: disable=bad-indentation, no-member, invalid-name, line-too-long
import math
import cv2
import caffe
import numpy as np
from utils import crop_face, Timer
class JfdaDetector:
'''JfdaDetector
'''
def __init__(self, nets):
assert len(nets) in [2, 4, 6, 8], 'wrong number of nets'
self.pnet, self.... | 33.030534 | 111 | 0.582082 |
import math
import cv2
import caffe
import numpy as np
from utils import crop_face, Timer
class JfdaDetector:
def __init__(self, nets):
assert len(nets) in [2, 4, 6, 8], 'wrong number of nets'
self.pnet, self.rnet, self.onet, self.lnet = None, None, None, None
if len(nets) >= 2:
self.pnet = caff... | true | true |
f7f25661f221f5e969c6b585f193a907fcba86f9 | 8,296 | py | Python | examples/fitspec.py | dmargala/qusp | 3b08e8bea321f7083f00756f558c1d0af0eddd07 | [
"MIT"
] | null | null | null | examples/fitspec.py | dmargala/qusp | 3b08e8bea321f7083f00756f558c1d0af0eddd07 | [
"MIT"
] | null | null | null | examples/fitspec.py | dmargala/qusp | 3b08e8bea321f7083f00756f558c1d0af0eddd07 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import argparse
import random
import numpy as np
import h5py
import qusp
import bossdata.path
import bossdata.remote
from astropy.io import fits
def main():
# parse command-line arguments
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter)... | 37.035714 | 122 | 0.636331 |
import argparse
import random
import numpy as np
import h5py
import qusp
import bossdata.path
import bossdata.remote
from astropy.io import fits
def main():
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument("--verbose", action="store... | false | true |
f7f256ce9fa9d92bc65eacff9916a1dcbfcbeb1c | 761 | py | Python | minicom.py | mtibbett67/pymodules | 9a7dcd16fb2107029edaabde766c1dbdb769713c | [
"MIT"
] | null | null | null | minicom.py | mtibbett67/pymodules | 9a7dcd16fb2107029edaabde766c1dbdb769713c | [
"MIT"
] | null | null | null | minicom.py | mtibbett67/pymodules | 9a7dcd16fb2107029edaabde766c1dbdb769713c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
NAME:
minicom.py
DESCRIPTION:
Use MiniComm to connect to a USB to Serial adapter
CREATED:
Tue Mar 17 21:51:42 2015
VERSION:
0.1
AUTHOR:
Mark Tibbett
AUTHOR_EMAIL:
mtibbett67@gmail.com
URL:
N/A
DOWNLOAD_URL:
N/A
INSTALL_REQUIRES:
[nose]
PACKAGES:
[NAME]
SCRIPT... | 11.358209 | 59 | 0.695138 |
"""
NAME:
minicom.py
DESCRIPTION:
Use MiniComm to connect to a USB to Serial adapter
CREATED:
Tue Mar 17 21:51:42 2015
VERSION:
0.1
AUTHOR:
Mark Tibbett
AUTHOR_EMAIL:
mtibbett67@gmail.com
URL:
N/A
DOWNLOAD_URL:
N/A
INSTALL_REQUIRES:
[nose]
PACKAGES:
[NAME]
SCRIPTS:
[]
"""
import os
import subprocess
... | false | true |
f7f256e878da0fbe90addce1fbba95b296292863 | 1,987 | py | Python | alipay/aop/api/domain/AlipayOpenMiniAmpeMiniappUnbindModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/AlipayOpenMiniAmpeMiniappUnbindModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/AlipayOpenMiniAmpeMiniappUnbindModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipayOpenMiniAmpeMiniappUnbindModel(object):
def __init__(self):
self._mini_app_id = None
self._mobile_app_id = None
self._scene_code = None
@property
def mini_a... | 27.985915 | 77 | 0.608455 |
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipayOpenMiniAmpeMiniappUnbindModel(object):
def __init__(self):
self._mini_app_id = None
self._mobile_app_id = None
self._scene_code = None
@property
def mini_app_id(self):
return self._mini_app_i... | true | true |
f7f257077da7f852e45ce6539b0706c50cafbb11 | 12,820 | bzl | Python | apple/internal/resource_actions/plist.bzl | c-parsons/rules_apple | f75c4b1be219cb32704d900bd1a42ab200eab445 | [
"Apache-2.0"
] | 1 | 2021-06-06T11:34:58.000Z | 2021-06-06T11:34:58.000Z | apple/internal/resource_actions/plist.bzl | c-parsons/rules_apple | f75c4b1be219cb32704d900bd1a42ab200eab445 | [
"Apache-2.0"
] | null | null | null | apple/internal/resource_actions/plist.bzl | c-parsons/rules_apple | f75c4b1be219cb32704d900bd1a42ab200eab445 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The Bazel Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 36.214689 | 81 | 0.679329 |
load(
"@bazel_skylib//lib:paths.bzl",
"paths",
)
load(
"@build_bazel_rules_apple//apple:utils.bzl",
"apple_action",
)
load(
"@build_bazel_rules_apple//apple:providers.bzl",
"AppleBundleVersionInfo",
)
load(
"@build_bazel_rules_apple//common:attrs.bzl",
"attrs",
)
load(
... | true | true |
f7f257ae3acd8d625da30f603975ead28a62348e | 4,620 | py | Python | sg_jira/handlers/enable_syncing_handler.py | studiowildcard/sg-jira-bridge | 8f06f7b6b7786e7d840f3d50d18db394c0021d4d | [
"MIT"
] | 14 | 2019-05-18T15:58:40.000Z | 2021-11-27T05:45:10.000Z | sg_jira/handlers/enable_syncing_handler.py | studiowildcard/sg-jira-bridge | 8f06f7b6b7786e7d840f3d50d18db394c0021d4d | [
"MIT"
] | 19 | 2019-09-02T03:01:33.000Z | 2022-03-04T21:32:20.000Z | sg_jira/handlers/enable_syncing_handler.py | studiowildcard/sg-jira-bridge | 8f06f7b6b7786e7d840f3d50d18db394c0021d4d | [
"MIT"
] | 18 | 2019-05-24T17:19:08.000Z | 2021-11-09T20:49:49.000Z | # Copyright 2018 Autodesk, Inc. All rights reserved.
#
# Use of this software is subject to the terms of the Autodesk license agreement
# provided at the time of installation or download, or which otherwise accompanies
# this software in either electronic or hard copy form.
#
from ..constants import SHOTGUN_SYNC_IN_J... | 38.181818 | 84 | 0.658442 |
from ..constants import SHOTGUN_SYNC_IN_JIRA_FIELD
from .sync_handler import SyncHandler
class EnableSyncingHandler(SyncHandler):
def __init__(self, syncer, handlers):
super(EnableSyncingHandler, self).__init__(syncer)
if not handlers:
raise ValueError("At least one handler nee... | true | true |
f7f257f3115bad5ac482d7053894afd5d5533bdb | 4,903 | py | Python | examples/tutorial/allpairs_example.py | chemlove/radical.ensemblemd | 0ec4b127760d2fee88d4eae1768fecec4bdd6b21 | [
"MIT"
] | null | null | null | examples/tutorial/allpairs_example.py | chemlove/radical.ensemblemd | 0ec4b127760d2fee88d4eae1768fecec4bdd6b21 | [
"MIT"
] | null | null | null | examples/tutorial/allpairs_example.py | chemlove/radical.ensemblemd | 0ec4b127760d2fee88d4eae1768fecec4bdd6b21 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
__author__ = "Ioannis Paraskevakos <i.parask@rutgers.edu>"
__copyright__ = "Copyright 2014, http://radical.rutgers.edu"
__license__ = "MIT"
__example_name__ = "All Pairs Example (generic)"
import math
import sys
import os
import json
from radical.ensemblemd import Kernel
from radi... | 38.007752 | 118 | 0.611666 |
__author__ = "Ioannis Paraskevakos <i.parask@rutgers.edu>"
__copyright__ = "Copyright 2014, http://radical.rutgers.edu"
__license__ = "MIT"
__example_name__ = "All Pairs Example (generic)"
import math
import sys
import os
import json
from radical.ensemblemd import Kernel
from radical.ensemblemd import... | false | true |
f7f258df8c86452e678adb98b216f44bb8750e25 | 2,088 | py | Python | get_Call_instr_neighbor.py | yangshouguo/Graph-based_Bug_Search | 41f1e14f49e9f107508eb98c89d2333fb14630e4 | [
"MIT"
] | 9 | 2017-09-12T09:16:50.000Z | 2021-11-10T14:46:08.000Z | get_Call_instr_neighbor.py | yangshouguo/Graph-based_Bug_Search | 41f1e14f49e9f107508eb98c89d2333fb14630e4 | [
"MIT"
] | null | null | null | get_Call_instr_neighbor.py | yangshouguo/Graph-based_Bug_Search | 41f1e14f49e9f107508eb98c89d2333fb14630e4 | [
"MIT"
] | 8 | 2017-08-21T15:46:30.000Z | 2020-02-23T03:20:25.000Z | #get the instructions nearby call
from idautils import *
from idc import *
from idaapi import *
#get all functions of their address
# return generator
def get_funcs():
return Functions()
#get the address of the instructions which call the functions
def get_call_instr(addr):
return [addr for addr in list(CodeRefsT... | 24 | 99 | 0.716475 |
from idautils import *
from idc import *
from idaapi import *
def get_funcs():
return Functions()
def get_call_instr(addr):
return [addr for addr in list(CodeRefsTo(addr, 0)) if is_call_insn(addr)]
def get_bb_to_ea(inst_ea):
ea = inst_ea
func = get_func(inst_ea)
if not func:
print 'get wrong address '... | false | true |
f7f25990f8a31ff6476fc74a21adfd7b3f57a3c9 | 52,254 | py | Python | tensorflow/python/framework/test_util.py | leon1330/Tensorflow | b9f548d041ba8d66102c6d195e645051f1bee52f | [
"Apache-2.0"
] | 2 | 2022-01-11T19:16:02.000Z | 2022-01-11T19:47:35.000Z | tensorflow/python/framework/test_util.py | leon1330/Tensorflow | b9f548d041ba8d66102c6d195e645051f1bee52f | [
"Apache-2.0"
] | null | null | null | tensorflow/python/framework/test_util.py | leon1330/Tensorflow | b9f548d041ba8d66102c6d195e645051f1bee52f | [
"Apache-2.0"
] | 2 | 2019-09-05T06:43:24.000Z | 2019-09-07T07:58:34.000Z | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 35.643929 | 83 | 0.667451 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import contextlib
import gc
import math
import random
import re
import tempfile
import threading
import numpy as np
import six
_portpicker_import_error = None
try:
import portpicker
except... | true | true |
f7f25a773667abf8eabd1605b3325a84114a0d8b | 423 | py | Python | django_project/app/forms.py | ryoma-jp/AI_DashBoard | ee7eb2f4a52f4909a80df8553a53fdcb494af8d4 | [
"MIT"
] | null | null | null | django_project/app/forms.py | ryoma-jp/AI_DashBoard | ee7eb2f4a52f4909a80df8553a53fdcb494af8d4 | [
"MIT"
] | null | null | null | django_project/app/forms.py | ryoma-jp/AI_DashBoard | ee7eb2f4a52f4909a80df8553a53fdcb494af8d4 | [
"MIT"
] | null | null | null | from django import forms
from app.models import DatasetFile, DatasetSelection
class DatasetFileForm(forms.ModelForm):
class Meta:
model = DatasetFile
fields = ('train_zip', 'train_csv',
'valid_zip', 'valid_csv',
'test_zip', 'test_csv', )
class DatasetSelectionFo... | 28.2 | 52 | 0.63357 | from django import forms
from app.models import DatasetFile, DatasetSelection
class DatasetFileForm(forms.ModelForm):
class Meta:
model = DatasetFile
fields = ('train_zip', 'train_csv',
'valid_zip', 'valid_csv',
'test_zip', 'test_csv', )
class DatasetSelectionFo... | true | true |
f7f25a9119ea4b7cf13895104f5608f7b73361f5 | 3,648 | gyp | Python | gin/gin.gyp | Acidburn0zzz/chromium-1 | 4c08f442d2588a2c7cfaa117a55bd87d2ac32f9a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | gin/gin.gyp | Acidburn0zzz/chromium-1 | 4c08f442d2588a2c7cfaa117a55bd87d2ac32f9a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | gin/gin.gyp | Acidburn0zzz/chromium-1 | 4c08f442d2588a2c7cfaa117a55bd87d2ac32f9a | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | # Copyright 2013 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
{
'variables': {
'chromium_code': 1,
},
'targets': [
{
'target_name': 'gin',
'type': '<(component)',
'dependencies': [
... | 26.057143 | 94 | 0.5233 |
{
'variables': {
'chromium_code': 1,
},
'targets': [
{
'target_name': 'gin',
'type': '<(component)',
'dependencies': [
'../base/base.gyp:base',
'../base/third_party/dynamic_annotations/dynamic_annotations.gyp:dynamic_annotations',
'../v8/tools/gyp/v8.gyp:v8',
... | true | true |
f7f25b5f24524f90a7bf05b1d7587ac7bd2be722 | 2,296 | py | Python | spikeinterface/sortingcomponents/motion_correction.py | lkeegan/spikeinterface | 237cc6f6119a5365be1d9e1c235d8410ceb482d3 | [
"MIT"
] | null | null | null | spikeinterface/sortingcomponents/motion_correction.py | lkeegan/spikeinterface | 237cc6f6119a5365be1d9e1c235d8410ceb482d3 | [
"MIT"
] | null | null | null | spikeinterface/sortingcomponents/motion_correction.py | lkeegan/spikeinterface | 237cc6f6119a5365be1d9e1c235d8410ceb482d3 | [
"MIT"
] | null | null | null | import numpy as np
import scipy.interpolate
from tqdm import tqdm
def correct_motion_on_peaks(peaks, peak_locations, times,
motion, temporal_bins, spatial_bins,
direction='y', progress_bar=False):
"""
Given the output of estimate_motion() apply inverse motion on peak location.
Parameters... | 33.275362 | 111 | 0.658972 | import numpy as np
import scipy.interpolate
from tqdm import tqdm
def correct_motion_on_peaks(peaks, peak_locations, times,
motion, temporal_bins, spatial_bins,
direction='y', progress_bar=False):
corrected_peak_locations = peak_locations.copy()
if spatial_bins is None:
cent... | true | true |
f7f25ca808642c4a8543bdd464b4748c421653e8 | 5,692 | py | Python | core/metrics/precision_recall.py | overlordmax/PaddleRec | ddf6ec25b228ffde83e6592163d88c3ace9069f0 | [
"Apache-2.0"
] | 1 | 2020-09-29T01:14:22.000Z | 2020-09-29T01:14:22.000Z | core/metrics/precision_recall.py | Qdriving/PaddleRec | b4d6ac77450d98a935c6a5d0eba6abbb21b9d06a | [
"Apache-2.0"
] | null | null | null | core/metrics/precision_recall.py | Qdriving/PaddleRec | b4d6ac77450d98a935c6a5d0eba6abbb21b9d06a | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 36.254777 | 79 | 0.605938 |
import math
import numpy as np
import paddle.fluid as fluid
from paddlerec.core.metric import Metric
from paddle.fluid.initializer import Constant
from paddle.fluid.layer_helper import LayerHelper
from paddle.fluid.layers.tensor import Variable
class PrecisionRecall(Metric):
def __init__(self, in... | true | true |
f7f25d648ca07590b904edef105f5e4041a4b929 | 4,837 | py | Python | test/functional/mempool_reorg.py | cryptonecoin/cryptonecoin | c80c35ebce9d253541c7cbe7383b775ccfaa62bb | [
"MIT"
] | null | null | null | test/functional/mempool_reorg.py | cryptonecoin/cryptonecoin | c80c35ebce9d253541c7cbe7383b775ccfaa62bb | [
"MIT"
] | null | null | null | test/functional/mempool_reorg.py | cryptonecoin/cryptonecoin | c80c35ebce9d253541c7cbe7383b775ccfaa62bb | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2014-2018 The Cryptonecoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test mempool re-org scenarios.
Test re-org scenarios with a mempool that contains transactions
th... | 47.891089 | 122 | 0.704155 |
from test_framework.blocktools import create_raw_transaction
from test_framework.test_framework import CryptonecoinTestFramework
from test_framework.util import assert_equal, assert_raises_rpc_error
class MempoolCoinbaseTest(CryptonecoinTestFramework):
def set_test_params(self):
self.num_nodes = 2
... | true | true |
f7f25dd95af95e2e287b3a1e74ae0e0152ada043 | 28,954 | py | Python | venv/lib/python3.6/site-packages/numpy/core/numerictypes.py | Seifar/ChitAnalysis | 0580802c78b11766ba21e3929b8fa96f8f6a17f0 | [
"MIT"
] | 69 | 2020-03-31T06:40:17.000Z | 2022-02-25T11:48:18.000Z | venv/lib/python3.7/site-packages/numpy/core/numerictypes.py | John1001Song/Big-Data-Robo-Adviser | 9444dce96954c546333d5aecc92a06c3bfd19aa5 | [
"MIT"
] | 12 | 2018-12-06T22:06:49.000Z | 2022-02-25T17:40:44.000Z | venv/lib/python3.7/site-packages/numpy/core/numerictypes.py | John1001Song/Big-Data-Robo-Adviser | 9444dce96954c546333d5aecc92a06c3bfd19aa5 | [
"MIT"
] | 28 | 2019-03-22T01:07:13.000Z | 2022-02-21T16:38:27.000Z | """
numerictypes: Define the numeric type objects
This module is designed so "from numerictypes import \\*" is safe.
Exported symbols include:
Dictionary with all registered number types (including aliases):
typeDict
Type objects (not all will be available, depends on platform):
see variable sctypes fo... | 28.30303 | 88 | 0.572909 | from __future__ import division, absolute_import, print_function
import types as _types
import sys
import numbers
import warnings
from numpy.compat import bytes, long
from numpy.core.multiarray import (
typeinfo, ndarray, array, empty, dtype, datetime_data,
datetime_as_string, busday_offset, busday_co... | true | true |
f7f25f0f43277a856d8023f3a1ecfd516a2e0fde | 2,879 | py | Python | app/users/migrations/0001_initial.py | esdevop/mymodb | 392f1024d32cb1e19f39841a7811a4b990813909 | [
"MIT"
] | null | null | null | app/users/migrations/0001_initial.py | esdevop/mymodb | 392f1024d32cb1e19f39841a7811a4b990813909 | [
"MIT"
] | 3 | 2021-08-13T10:10:21.000Z | 2021-08-16T10:10:04.000Z | app/users/migrations/0001_initial.py | esdevop/mymodb | 392f1024d32cb1e19f39841a7811a4b990813909 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.5 on 2021-08-13 14:38
import django.contrib.auth.models
import django.contrib.auth.validators
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0012_alter_user_first_name_m... | 63.977778 | 329 | 0.664467 |
import django.contrib.auth.models
import django.contrib.auth.validators
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0012_alter_user_first_name_max_length'),
]
operations = [
... | true | true |
f7f25f4ca0025b833aab63153c2ef6c067d3fef8 | 7,456 | py | Python | python/lib/cloudutils/utilities.py | redbridge/cloudstack | 2218053fb11d501950e4beb80e9bee4ae472b5b4 | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2015-05-19T05:04:30.000Z | 2016-09-07T00:33:17.000Z | python/lib/cloudutils/utilities.py | redbridge/cloudstack | 2218053fb11d501950e4beb80e9bee4ae472b5b4 | [
"ECL-2.0",
"Apache-2.0"
] | 6 | 2020-11-16T20:46:14.000Z | 2022-02-01T01:06:16.000Z | python/lib/cloudutils/utilities.py | redbridge/cloudstack | 2218053fb11d501950e4beb80e9bee4ae472b5b4 | [
"ECL-2.0",
"Apache-2.0"
] | 4 | 2015-05-25T15:53:52.000Z | 2018-05-23T14:08:07.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 35.004695 | 222 | 0.603407 |
from cloudException import CloudRuntimeException, formatExceptionInfo
import logging
from subprocess import PIPE, Popen
from signal import alarm, signal, SIGALRM, SIGKILL
import sys
import os
class bash:
def __init__(self, args, timeout=600):
self.args = args
logging.debug("execute:%... | true | true |
f7f25fe19190169e2c45d1f6dc2f332cdfe35441 | 6,176 | py | Python | CorpusUtil.py | SfS-unsupervisedCL/project-translation_meaning_clustering | a3b4d194daecb88edc9f3dd4a81333e2661eec30 | [
"MIT"
] | null | null | null | CorpusUtil.py | SfS-unsupervisedCL/project-translation_meaning_clustering | a3b4d194daecb88edc9f3dd4a81333e2661eec30 | [
"MIT"
] | 1 | 2018-02-02T13:14:17.000Z | 2018-02-02T13:14:17.000Z | CorpusUtil.py | SfS-unsupervisedCL/project-translation_meaning_clustering | a3b4d194daecb88edc9f3dd4a81333e2661eec30 | [
"MIT"
] | null | null | null | from collections import Counter
import nltk
from nltk import *
import numpy as np
import xml.etree.ElementTree as ET
import tmx
trigram_measures = nltk.collocations.TrigramAssocMeasures()
bigram_measures = nltk.collocations.BigramAssocMeasures()
class CorpusUtil(object):
__slots__ = 'tokenFrequencies', 'nGr... | 34.502793 | 116 | 0.555538 | from collections import Counter
import nltk
from nltk import *
import numpy as np
import xml.etree.ElementTree as ET
import tmx
trigram_measures = nltk.collocations.TrigramAssocMeasures()
bigram_measures = nltk.collocations.BigramAssocMeasures()
class CorpusUtil(object):
__slots__ = 'tokenFrequencies', 'nGr... | true | true |
f7f260e9d517c5ebcaa04cf6f7b06ec0942c2dc2 | 3,985 | py | Python | src/model_autoencoders_chromagram.py | JDonini/Stacking-Audio-Tagging | a827a803dc140138d7a24ffc6fc8eda21672703e | [
"MIT"
] | 1 | 2018-12-14T18:16:24.000Z | 2018-12-14T18:16:24.000Z | src/model_autoencoders_chromagram.py | JDonini/Stacking-Audio-Tagging | a827a803dc140138d7a24ffc6fc8eda21672703e | [
"MIT"
] | 4 | 2019-01-21T02:00:09.000Z | 2019-01-21T13:12:31.000Z | src/model_autoencoders_chromagram.py | JDonini/Stacking-Audio-Tagging | a827a803dc140138d7a24ffc6fc8eda21672703e | [
"MIT"
] | null | null | null | import sys
import os
import pandas as pd
import tensorflow as tf
import numpy as np
from keras.utils import multi_gpu_model
from keras.models import Model
from keras.layers import Input, Activation
from keras.layers.convolutional import Conv2D, MaxPooling2D, UpSampling2D
from keras.layers.normalization import BatchNorm... | 32.398374 | 110 | 0.727478 | import sys
import os
import pandas as pd
import tensorflow as tf
import numpy as np
from keras.utils import multi_gpu_model
from keras.models import Model
from keras.layers import Input, Activation
from keras.layers.convolutional import Conv2D, MaxPooling2D, UpSampling2D
from keras.layers.normalization import BatchNorm... | true | true |
f7f26231177c4d336e1ef074189402d665576b1d | 825 | py | Python | babyrobot/emorec/client.py | babyrobot-eu/core-modules | 7e8c006c40153fb649208c9a78fc71aa70243f69 | [
"MIT"
] | 1 | 2019-02-07T15:32:06.000Z | 2019-02-07T15:32:06.000Z | babyrobot/emorec/client.py | babyrobot-eu/core-modules | 7e8c006c40153fb649208c9a78fc71aa70243f69 | [
"MIT"
] | 9 | 2020-01-28T22:09:41.000Z | 2022-03-11T23:39:17.000Z | babyrobot/emorec/client.py | babyrobot-eu/core-modules | 7e8c006c40153fb649208c9a78fc71aa70243f69 | [
"MIT"
] | null | null | null | import uuid
import rospy
from babyrobot.emorec import config as emorec_config
from babyrobot_msgs.msg import AudioSegment
from babyrobot_msgs.srv import SpeechEmotionRecognition
def emorec(clip):
try:
rospy.wait_for_service(emorec_config.ROS_CONFIG.SERVICE_NAME)
emo_recognition = rospy.ServicePro... | 34.375 | 69 | 0.72 | import uuid
import rospy
from babyrobot.emorec import config as emorec_config
from babyrobot_msgs.msg import AudioSegment
from babyrobot_msgs.srv import SpeechEmotionRecognition
def emorec(clip):
try:
rospy.wait_for_service(emorec_config.ROS_CONFIG.SERVICE_NAME)
emo_recognition = rospy.ServicePro... | false | true |
f7f2625c17e8c53e3ec817918cc8096bb2e830fd | 2,495 | py | Python | src/amuse/rfi/tools/create_python_worker.py | joshuawall/amuse | c2034074ee76c08057c4faa96c32044ab40952e9 | [
"Apache-2.0"
] | 1 | 2019-04-09T09:06:08.000Z | 2019-04-09T09:06:08.000Z | src/amuse/rfi/tools/create_python_worker.py | joshuawall/amuse | c2034074ee76c08057c4faa96c32044ab40952e9 | [
"Apache-2.0"
] | null | null | null | src/amuse/rfi/tools/create_python_worker.py | joshuawall/amuse | c2034074ee76c08057c4faa96c32044ab40952e9 | [
"Apache-2.0"
] | 2 | 2021-11-19T04:41:37.000Z | 2021-11-20T02:11:17.000Z | from amuse.support.core import late, print_out
from amuse.support.options import option
from amuse.support.options import OptionalAttributes
import os
import inspect
import sys
class CreateAPythonWorker(OptionalAttributes):
@option(sections=['data'])
def amuse_root_dir(self):
if 'AMUSE... | 28.678161 | 85 | 0.602806 | from amuse.support.core import late, print_out
from amuse.support.options import option
from amuse.support.options import OptionalAttributes
import os
import inspect
import sys
class CreateAPythonWorker(OptionalAttributes):
@option(sections=['data'])
def amuse_root_dir(self):
if 'AMUSE... | false | true |
f7f262fb5ae4a0f2374587382f3255f6da7cf9aa | 3,288 | py | Python | settings/custom_settings.py | shubhMaheshwari/NeuralTracking | c47c2e0b0f1a654e3e53fabaa898b3b8a2649381 | [
"MIT"
] | 1 | 2022-02-18T07:11:18.000Z | 2022-02-18T07:11:18.000Z | settings/custom_settings.py | shubhMaheshwari/NeuralTracking | c47c2e0b0f1a654e3e53fabaa898b3b8a2649381 | [
"MIT"
] | 5 | 2022-03-08T07:00:12.000Z | 2022-03-08T07:07:29.000Z | settings/custom_settings.py | shubhMaheshwari/NeuralTracking | c47c2e0b0f1a654e3e53fabaa898b3b8a2649381 | [
"MIT"
] | null | null | null | #####################################################################################################################
# GENERAL OPTIONS
#####################################################################################################################
# Do validation?
do_validation = True
# Freeze parts of the model... | 37.793103 | 119 | 0.501825 | true | true | |
f7f2631280862571dd98fee32f5ace5c04abd6ea | 2,256 | py | Python | deepclaw/sim2real/simulation/tasks/BlueArm_simulation/ktest.py | bionicdl-sustech/DeepClaw | 5cc61289e6088adc03d502f07ec970d221e05857 | [
"MIT"
] | 5 | 2020-06-24T03:47:00.000Z | 2021-10-13T03:35:38.000Z | deepclaw/sim2real/simulation/tasks/BlueArm_simulation/ktest.py | bionicdl-sustech/DeepClaw | 5cc61289e6088adc03d502f07ec970d221e05857 | [
"MIT"
] | null | null | null | deepclaw/sim2real/simulation/tasks/BlueArm_simulation/ktest.py | bionicdl-sustech/DeepClaw | 5cc61289e6088adc03d502f07ec970d221e05857 | [
"MIT"
] | 3 | 2020-06-18T09:25:39.000Z | 2021-04-18T03:51:08.000Z | from os.path import dirname, abspath
from os import system, environ
sim_path = dirname(dirname(dirname(dirname(abspath(__file__)))))
scene_path = sim_path + '/simulation/scene/'
import sys
sys.path.append(sim_path)
from simulation.src.camera import Camera
from simulation.src.env import Env
from pyrep.robots.arms.arm im... | 33.671642 | 145 | 0.643617 | from os.path import dirname, abspath
from os import system, environ
sim_path = dirname(dirname(dirname(dirname(abspath(__file__)))))
scene_path = sim_path + '/simulation/scene/'
import sys
sys.path.append(sim_path)
from simulation.src.camera import Camera
from simulation.src.env import Env
from pyrep.robots.arms.arm im... | true | true |
f7f2667846553c585c0cac5a0bd777268aa0944e | 2,772 | py | Python | src/server/master/web_ui/application/web_ui/main/views/dashboard_billing.py | dpaola2/djangy | 4b10e681cb49e5c16aba4429dfbfadfd9b512463 | [
"NCSA"
] | 15 | 2015-02-14T02:39:04.000Z | 2021-12-13T14:17:15.000Z | src/server/master/web_ui/application/web_ui/main/views/dashboard_billing.py | ojengwa/djangy | 4b10e681cb49e5c16aba4429dfbfadfd9b512463 | [
"NCSA"
] | null | null | null | src/server/master/web_ui/application/web_ui/main/views/dashboard_billing.py | ojengwa/djangy | 4b10e681cb49e5c16aba4429dfbfadfd9b512463 | [
"NCSA"
] | 11 | 2015-08-07T11:47:02.000Z | 2021-04-29T08:08:24.000Z | from shared import *
from master_api import update_billing_info as do_update_billing_info
# XXX - CSRF
@http_methods('GET', 'POST')
@auth_required
def update_billing_info(request):
email = request.session.get('email')
user = User.get_by_email(email)
REQUIRED_KEYS = [
'first_name',
'last_nam... | 33 | 90 | 0.522006 | from shared import *
from master_api import update_billing_info as do_update_billing_info
@http_methods('GET', 'POST')
@auth_required
def update_billing_info(request):
email = request.session.get('email')
user = User.get_by_email(email)
REQUIRED_KEYS = [
'first_name',
'last_name',
... | true | true |
f7f266babc88b95c763764202b2947e8a015abfb | 724 | py | Python | tests/test_future/test_future_result/test_future_result_decorator.py | ftruzzi/returns | 42fbb70ffe68e01a848908021cf8ed1a6704b13d | [
"BSD-2-Clause"
] | 1 | 2020-12-19T07:34:19.000Z | 2020-12-19T07:34:19.000Z | tests/test_future/test_future_result/test_future_result_decorator.py | ftruzzi/returns | 42fbb70ffe68e01a848908021cf8ed1a6704b13d | [
"BSD-2-Clause"
] | 1 | 2020-07-13T23:12:58.000Z | 2020-07-13T23:12:58.000Z | tests/test_future/test_future_result/test_future_result_decorator.py | ftruzzi/returns | 42fbb70ffe68e01a848908021cf8ed1a6704b13d | [
"BSD-2-Clause"
] | null | null | null | import pytest
from returns.future import FutureResult, future_safe
from returns.io import IOResult, IOSuccess
@future_safe
async def _coro(arg: int) -> float:
return 1 / arg
@pytest.mark.anyio
async def test_future_safe_decorator():
"""Ensure that coroutine marked with ``@future_safe``."""
future_insta... | 25.857143 | 67 | 0.754144 | import pytest
from returns.future import FutureResult, future_safe
from returns.io import IOResult, IOSuccess
@future_safe
async def _coro(arg: int) -> float:
return 1 / arg
@pytest.mark.anyio
async def test_future_safe_decorator():
future_instance = _coro(2)
assert isinstance(future_instance, FutureR... | true | true |
f7f2691b105d323b0a252c9056f82a11cf06b4d3 | 19,319 | py | Python | je_web_runner/selenium_wrapper/webdriver_wrapper.py | JE-Chen/SeleniumWrapper_JE | 192c457ad5b3b7e1e8aa0316a461f4dd532f5ffd | [
"MIT"
] | null | null | null | je_web_runner/selenium_wrapper/webdriver_wrapper.py | JE-Chen/SeleniumWrapper_JE | 192c457ad5b3b7e1e8aa0316a461f4dd532f5ffd | [
"MIT"
] | null | null | null | je_web_runner/selenium_wrapper/webdriver_wrapper.py | JE-Chen/SeleniumWrapper_JE | 192c457ad5b3b7e1e8aa0316a461f4dd532f5ffd | [
"MIT"
] | null | null | null | from typing import List
from selenium.common.exceptions import NoAlertPresentException
from selenium.webdriver import ActionChains
from selenium.webdriver.remote.webdriver import WebDriver
from selenium import webdriver
from selenium.webdriver.remote.webelement import WebElement
from selenium.webdriver.support.wait im... | 44.616628 | 120 | 0.737771 | from typing import List
from selenium.common.exceptions import NoAlertPresentException
from selenium.webdriver import ActionChains
from selenium.webdriver.remote.webdriver import WebDriver
from selenium import webdriver
from selenium.webdriver.remote.webelement import WebElement
from selenium.webdriver.support.wait im... | true | true |
f7f269cba9071e419c997107e0b8da43d0259c2a | 961 | py | Python | tests/callbacks/test_grad_cam.py | tongni1975/tf-explain | 1d13fbac19389630f4d25473fda10687635dcd6a | [
"MIT"
] | null | null | null | tests/callbacks/test_grad_cam.py | tongni1975/tf-explain | 1d13fbac19389630f4d25473fda10687635dcd6a | [
"MIT"
] | 3 | 2021-01-05T21:57:08.000Z | 2021-06-25T15:36:38.000Z | tests/callbacks/test_grad_cam.py | tongni1975/tf-explain | 1d13fbac19389630f4d25473fda10687635dcd6a | [
"MIT"
] | null | null | null | import numpy as np
from tf_explain.callbacks.grad_cam import GradCAMCallback
def test_should_call_grad_cam_callback(
random_data, convolutional_model, output_dir, mocker
):
mock_explainer = mocker.MagicMock(explain=mocker.MagicMock(return_value=0))
mocker.patch("tf_explain.callbacks.grad_cam.GradCAM", ret... | 33.137931 | 88 | 0.728408 | import numpy as np
from tf_explain.callbacks.grad_cam import GradCAMCallback
def test_should_call_grad_cam_callback(
random_data, convolutional_model, output_dir, mocker
):
mock_explainer = mocker.MagicMock(explain=mocker.MagicMock(return_value=0))
mocker.patch("tf_explain.callbacks.grad_cam.GradCAM", ret... | true | true |
f7f26a4ae92f9f0fecfee2bad53dca2b1edbb476 | 2,210 | py | Python | model/unet.py | wgcban/spin_roadmapper | 2c1c8f22073d989753dc6f95d1f547198a76414b | [
"Apache-2.0"
] | 24 | 2021-09-15T00:20:52.000Z | 2022-03-27T05:01:23.000Z | model/unet.py | wgcban/spin_roadmapper | 2c1c8f22073d989753dc6f95d1f547198a76414b | [
"Apache-2.0"
] | 2 | 2021-12-27T13:45:02.000Z | 2022-03-25T13:33:20.000Z | model/unet.py | wgcban/spin_roadmapper | 2c1c8f22073d989753dc6f95d1f547198a76414b | [
"Apache-2.0"
] | 3 | 2021-12-27T03:11:56.000Z | 2022-03-10T10:24:42.000Z | import torch
import torchvision
from torch import nn
from torchvision.utils import save_image
import torch.nn.functional as F
class unet(nn.Module):
def __init__(self, in_channels=3, num_classes=2):
super(unet, self).__init__()
self.encoder1 = nn.Conv2d(in_channels, 32, 3, stride=1, paddin... | 42.5 | 91 | 0.589593 | import torch
import torchvision
from torch import nn
from torchvision.utils import save_image
import torch.nn.functional as F
class unet(nn.Module):
def __init__(self, in_channels=3, num_classes=2):
super(unet, self).__init__()
self.encoder1 = nn.Conv2d(in_channels, 32, 3, stride=1, paddin... | true | true |
f7f26aa13a7462aba520d3375305cbbd91a915df | 1,320 | py | Python | examples/grid_example.py | Daiver/np_draw_tools | 091f09aba090263aee29b941b91bb7c96600018f | [
"MIT"
] | null | null | null | examples/grid_example.py | Daiver/np_draw_tools | 091f09aba090263aee29b941b91bb7c96600018f | [
"MIT"
] | null | null | null | examples/grid_example.py | Daiver/np_draw_tools | 091f09aba090263aee29b941b91bb7c96600018f | [
"MIT"
] | null | null | null | import numpy as np
import cv2
import np_draw_tools
def main():
img1 = np.zeros((256, 128, 3), dtype=np.uint8)
img2 = np.zeros((256, 128, 3), dtype=np.uint8)
img3 = np.zeros((256, 128, 3), dtype=np.uint8)
cv2.circle(img1, (64, 40), radius=10, color=(0, 255, 0), thickness=-1)
img2[:] = 255
cv2... | 27.5 | 116 | 0.609091 | import numpy as np
import cv2
import np_draw_tools
def main():
img1 = np.zeros((256, 128, 3), dtype=np.uint8)
img2 = np.zeros((256, 128, 3), dtype=np.uint8)
img3 = np.zeros((256, 128, 3), dtype=np.uint8)
cv2.circle(img1, (64, 40), radius=10, color=(0, 255, 0), thickness=-1)
img2[:] = 255
cv2... | true | true |
f7f26bd6a6e2f76d3445ff269279783fdc8db490 | 2,407 | py | Python | phillydata/arcgisrest/reader.py | ebrelsford/django-phillydata | 444a3ff9d436cd276530534642dd092402278ba5 | [
"BSD-3-Clause"
] | null | null | null | phillydata/arcgisrest/reader.py | ebrelsford/django-phillydata | 444a3ff9d436cd276530534642dd092402278ba5 | [
"BSD-3-Clause"
] | null | null | null | phillydata/arcgisrest/reader.py | ebrelsford/django-phillydata | 444a3ff9d436cd276530534642dd092402278ba5 | [
"BSD-3-Clause"
] | 1 | 2020-01-23T04:59:36.000Z | 2020-01-23T04:59:36.000Z | import json
import logging
from urllib import urlencode
from urllib2 import urlopen, URLError
logger = logging.getLogger(__name__)
class ArcGISRestServerReader(object):
"""
A simple class for iterating over objects stored in an ArcGIS server.
"""
default_params = {
'f': 'json',
}
i... | 26.744444 | 89 | 0.559618 | import json
import logging
from urllib import urlencode
from urllib2 import urlopen, URLError
logger = logging.getLogger(__name__)
class ArcGISRestServerReader(object):
default_params = {
'f': 'json',
}
ids_params = {
'returnIdsOnly': 'true'
}
objects_params = {
'outFie... | true | true |
f7f26c9fa653cb1d326e7346ca2e5ff9de7eec62 | 1,037 | py | Python | tests/test_gpu_mpdist.py | SaVoAMP/stumpy | d63963caaf6a8b64448953f638c1d3345e05a36a | [
"BSD-3-Clause"
] | null | null | null | tests/test_gpu_mpdist.py | SaVoAMP/stumpy | d63963caaf6a8b64448953f638c1d3345e05a36a | [
"BSD-3-Clause"
] | null | null | null | tests/test_gpu_mpdist.py | SaVoAMP/stumpy | d63963caaf6a8b64448953f638c1d3345e05a36a | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import numpy.testing as npt
from stumpy import gpu_mpdist, config
from numba import cuda
try:
from numba.errors import NumbaPerformanceWarning
except ModuleNotFoundError:
from numba.core.errors import NumbaPerformanceWarning
import pytest
import naive
config.THREADS_PER_BLOCK = 10
if not c... | 26.589744 | 76 | 0.701061 | import numpy as np
import numpy.testing as npt
from stumpy import gpu_mpdist, config
from numba import cuda
try:
from numba.errors import NumbaPerformanceWarning
except ModuleNotFoundError:
from numba.core.errors import NumbaPerformanceWarning
import pytest
import naive
config.THREADS_PER_BLOCK = 10
if not c... | true | true |
f7f26cc2d25f3d4da8df0267bf7220d2a68f24f3 | 2,209 | py | Python | FusionIIIT/applications/academic_procedures/urls.py | ssaksham9/Fusion | f1e405b457dba399411a2ddb79a9068746c05057 | [
"bzip2-1.0.6"
] | 2 | 2020-01-24T16:34:54.000Z | 2020-08-01T05:09:24.000Z | FusionIIIT/applications/academic_procedures/urls.py | ssaksham9/Fusion | f1e405b457dba399411a2ddb79a9068746c05057 | [
"bzip2-1.0.6"
] | null | null | null | FusionIIIT/applications/academic_procedures/urls.py | ssaksham9/Fusion | f1e405b457dba399411a2ddb79a9068746c05057 | [
"bzip2-1.0.6"
] | 5 | 2020-01-21T11:27:06.000Z | 2020-02-07T13:53:49.000Z | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.academic_procedures_redirect, name='redirect'),
url(r'^main/', views.academic_procedures, name='procedures'),
url(r'^register/', views.register, name='register'),
url(r'^pre_registration/', views.pre_registration, na... | 53.878049 | 94 | 0.725215 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.academic_procedures_redirect, name='redirect'),
url(r'^main/', views.academic_procedures, name='procedures'),
url(r'^register/', views.register, name='register'),
url(r'^pre_registration/', views.pre_registration, na... | true | true |
f7f26d04ebf0c4d001e1082cd615baec439617d1 | 2,361 | py | Python | lib/galaxy/tools/linters/stdio.py | emily101-gif/immport-galaxy | 8f353d1f9b4e0d044e1a9d0b1f928b440df78b8c | [
"CC-BY-3.0"
] | 4 | 2018-10-29T18:34:38.000Z | 2021-09-29T23:30:42.000Z | lib/galaxy/tools/linters/stdio.py | emily101-gif/immport-galaxy | 8f353d1f9b4e0d044e1a9d0b1f928b440df78b8c | [
"CC-BY-3.0"
] | 30 | 2016-10-20T15:35:12.000Z | 2018-10-02T15:59:54.000Z | lib/galaxy/tools/linters/stdio.py | emily101-gif/immport-galaxy | 8f353d1f9b4e0d044e1a9d0b1f928b440df78b8c | [
"CC-BY-3.0"
] | 7 | 2016-11-03T19:11:01.000Z | 2020-05-11T14:23:52.000Z | """This module contains a linting functions for tool error detection."""
from .command import get_command
def lint_stdio(tool_source, lint_ctx):
tool_xml = getattr(tool_source, "xml_tree", None)
stdios = tool_xml.findall("./stdio") if tool_xml else []
if not stdios:
command = get_command(tool_xml... | 35.772727 | 122 | 0.600169 | from .command import get_command
def lint_stdio(tool_source, lint_ctx):
tool_xml = getattr(tool_source, "xml_tree", None)
stdios = tool_xml.findall("./stdio") if tool_xml else []
if not stdios:
command = get_command(tool_xml) if tool_xml else None
if command is None or not command.get("de... | true | true |
f7f26d485d1fa9d51ce376dad5f61fcf0a7778af | 1,397 | py | Python | interviews/is_palindrome/linked_list.py | zarkle/data-structures-and-algorithms | 0485b95f5aabc0ee255cd7e50b48a6ccec851e00 | [
"MIT"
] | 1 | 2021-01-28T07:32:17.000Z | 2021-01-28T07:32:17.000Z | interviews/is_palindrome/linked_list.py | zarkle/data-structures-and-algorithms | 0485b95f5aabc0ee255cd7e50b48a6ccec851e00 | [
"MIT"
] | null | null | null | interviews/is_palindrome/linked_list.py | zarkle/data-structures-and-algorithms | 0485b95f5aabc0ee255cd7e50b48a6ccec851e00 | [
"MIT"
] | 1 | 2020-04-10T08:01:50.000Z | 2020-04-10T08:01:50.000Z | from .node import Node
class LinkedList:
"""
create a linked list
"""
def __init__(self, iterable=[]):
"""Constructor for the LinkedList object"""
self.head = None
self._size = 0
if type(iterable) is not list:
raise TypeError('Invalid iterable')
for... | 25.4 | 58 | 0.519685 | from .node import Node
class LinkedList:
def __init__(self, iterable=[]):
self.head = None
self._size = 0
if type(iterable) is not list:
raise TypeError('Invalid iterable')
for item in iterable:
self.insert(item)
def __repr__(self):
return ... | true | true |
f7f26e57008918cc19a21d89ec5f7142d075b28e | 1,350 | py | Python | garda_stations.py | VoyTechnology/safer-place | 10276d4859d8b2aeae68ada554f98619345e6474 | [
"MIT"
] | 3 | 2017-02-11T09:03:15.000Z | 2017-03-21T02:33:24.000Z | garda_stations.py | VoyTechnology/safer-place | 10276d4859d8b2aeae68ada554f98619345e6474 | [
"MIT"
] | 24 | 2017-03-18T18:18:52.000Z | 2018-02-14T19:37:08.000Z | garda_stations.py | SaferPlace/original | c34165420624e1073ec0c583c775a53efe817c39 | [
"MIT"
] | 4 | 2017-02-11T20:06:16.000Z | 2020-06-06T23:41:37.000Z | import math
class Station:
def __init__(self, csv_line_tup, lat=0, lng=0):
self.station_name = csv_line_tup[1]
self.division = csv_line_tup[2] if 'D.M.R' not in csv_line_tup[2] else 'Dublin'
self.x = csv_line_tup[3]
self.y = csv_line_tup[4]
self.murders = list(map(int, csv_l... | 33.75 | 87 | 0.599259 | import math
class Station:
def __init__(self, csv_line_tup, lat=0, lng=0):
self.station_name = csv_line_tup[1]
self.division = csv_line_tup[2] if 'D.M.R' not in csv_line_tup[2] else 'Dublin'
self.x = csv_line_tup[3]
self.y = csv_line_tup[4]
self.murders = list(map(int, csv_l... | true | true |
f7f26ec1b00927bd84149194a46fd7020d3bfca7 | 83,212 | py | Python | bindings/python/cntk/tests/onnx_op_test.py | ashiqimran/CNTK | 22c7c3cbf95f5bcb239d3d956f08efdf43253ab2 | [
"MIT"
] | null | null | null | bindings/python/cntk/tests/onnx_op_test.py | ashiqimran/CNTK | 22c7c3cbf95f5bcb239d3d956f08efdf43253ab2 | [
"MIT"
] | null | null | null | bindings/python/cntk/tests/onnx_op_test.py | ashiqimran/CNTK | 22c7c3cbf95f5bcb239d3d956f08efdf43253ab2 | [
"MIT"
] | 1 | 2018-12-29T20:52:30.000Z | 2018-12-29T20:52:30.000Z | # Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
import os
import numpy as np
import cntk as C
import pytest
onnx = pytest.importorsk... | 40.991133 | 247 | 0.643922 |
import os
import numpy as np
import cntk as C
import pytest
onnx = pytest.importorskip("onnx")
from copy import deepcopy
from cntk.ops.tests.ops_test_utils import cntk_device
from itertools import product
from .onnx_test_helper import transpose_dynamic_axis, create_and_populate_onnx_test_case_with_model_conversion... | true | true |
f7f270661758e1fbbefe5c9a7e621eca88fa3db8 | 305 | py | Python | data/multilingual/Latn.PAM/Serif_12/pdf_to_json_test_Latn.PAM_Serif_12.py | antoinecarme/pdf_to_json_tests | d57a024fde862e698d916a1178f285883d7a3b2f | [
"BSD-3-Clause"
] | 1 | 2021-09-19T19:47:35.000Z | 2021-09-19T19:47:35.000Z | data/multilingual/Latn.PAM/Serif_12/pdf_to_json_test_Latn.PAM_Serif_12.py | antoinecarme/pdf_to_json_tests | d57a024fde862e698d916a1178f285883d7a3b2f | [
"BSD-3-Clause"
] | null | null | null | data/multilingual/Latn.PAM/Serif_12/pdf_to_json_test_Latn.PAM_Serif_12.py | antoinecarme/pdf_to_json_tests | d57a024fde862e698d916a1178f285883d7a3b2f | [
"BSD-3-Clause"
] | null | null | null | import pdf_to_json as p2j
import json
url = "file:data/multilingual/Latn.PAM/Serif_12/udhr_Latn.PAM_Serif_12.pdf"
lConverter = p2j.pdf_to_json.pdf_to_json_converter()
lConverter.mImageHashOnly = True
lDict = lConverter.convert(url)
print(json.dumps(lDict, indent=4, ensure_ascii=False, sort_keys=True))
| 30.5 | 75 | 0.813115 | import pdf_to_json as p2j
import json
url = "file:data/multilingual/Latn.PAM/Serif_12/udhr_Latn.PAM_Serif_12.pdf"
lConverter = p2j.pdf_to_json.pdf_to_json_converter()
lConverter.mImageHashOnly = True
lDict = lConverter.convert(url)
print(json.dumps(lDict, indent=4, ensure_ascii=False, sort_keys=True))
| true | true |
f7f2716f26f601cb707ba4502be685122850d164 | 6,087 | py | Python | suites/DatabaseApi/Globals/GetConfig.py | dbulka/pytests | d2658cff3832293cb1b8abcd970f7df83a2b5035 | [
"MIT"
] | null | null | null | suites/DatabaseApi/Globals/GetConfig.py | dbulka/pytests | d2658cff3832293cb1b8abcd970f7df83a2b5035 | [
"MIT"
] | null | null | null | suites/DatabaseApi/Globals/GetConfig.py | dbulka/pytests | d2658cff3832293cb1b8abcd970f7df83a2b5035 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import lemoncheesecake.api as lcc
from lemoncheesecake.matching import check_that_in, check_that, has_length, has_entry, is_str
from common.base_test import BaseTest
from project import BASE_ASSET_SYMBOL
SUITE = {
"description": "Method 'get_config'"
}
@lcc.prop("main", "type")
@lcc.prop... | 55.336364 | 119 | 0.662395 |
import lemoncheesecake.api as lcc
from lemoncheesecake.matching import check_that_in, check_that, has_length, has_entry, is_str
from common.base_test import BaseTest
from project import BASE_ASSET_SYMBOL
SUITE = {
"description": "Method 'get_config'"
}
@lcc.prop("main", "type")
@lcc.prop("negative", "type")
@l... | true | true |
f7f2728883cd3773c84e6cfc688efec8db35a59b | 323 | py | Python | backend/food/admin.py | kimsunghyun1995/- | fda7e1e0744a0518433ef8414510329895b19eda | [
"MIT"
] | 2 | 2020-12-31T05:23:12.000Z | 2020-12-31T05:44:47.000Z | backend/food/admin.py | kimsunghyun1995/- | fda7e1e0744a0518433ef8414510329895b19eda | [
"MIT"
] | null | null | null | backend/food/admin.py | kimsunghyun1995/- | fda7e1e0744a0518433ef8414510329895b19eda | [
"MIT"
] | 1 | 2020-12-31T05:23:13.000Z | 2020-12-31T05:23:13.000Z | from django.contrib import admin
from .models import Food
# Register your models here.
class FoodAdmin(admin.ModelAdmin):
#식품이름, 총내용량, 열량, 탄수화물, 단백질, 지방
list_display = ('DESC_KOR', 'SERVING_SIZE', 'NUTR_CONT1',
'NUTR_CONT2', 'NUTR_CONT3', 'NUTR_CONT4')
admin.site.register(Food, FoodAdmi... | 23.071429 | 61 | 0.681115 | from django.contrib import admin
from .models import Food
class FoodAdmin(admin.ModelAdmin):
list_display = ('DESC_KOR', 'SERVING_SIZE', 'NUTR_CONT1',
'NUTR_CONT2', 'NUTR_CONT3', 'NUTR_CONT4')
admin.site.register(Food, FoodAdmin)
| true | true |
f7f27421d4cf1c31ef114331b864ce3038948c80 | 4,998 | py | Python | AutotestWebD/apps/myadmin/views/moduleManage.py | yangjourney/sosotest | 2e88099a829749910ca325253c9b1a2e368d21a0 | [
"MIT"
] | 422 | 2019-08-18T05:04:20.000Z | 2022-03-31T06:49:19.000Z | AutotestWebD/apps/myadmin/views/moduleManage.py | LinSongJian1985/sosotest | 091863dee531b5726650bb63efd6f169267cbeb4 | [
"MIT"
] | 10 | 2019-10-24T09:55:38.000Z | 2021-09-29T17:28:43.000Z | AutotestWebD/apps/myadmin/views/moduleManage.py | LinSongJian1985/sosotest | 091863dee531b5726650bb63efd6f169267cbeb4 | [
"MIT"
] | 202 | 2019-08-18T05:04:27.000Z | 2022-03-30T05:57:18.000Z | from urllib import parse
# Create your views here.
from all_models.models import *
from apps.common.config import commonWebConfig
from apps.common.func.WebFunc import *
# from apps.myadmin.service.InterfaceModuleService import InterfaceModuleService
from apps.myadmin.service.InterfacePermissionService import Interface... | 39.984 | 112 | 0.686074 | from urllib import parse
from all_models.models import *
from apps.common.config import commonWebConfig
from apps.common.func.WebFunc import *
from apps.myadmin.service.InterfacePermissionService import InterfacePermissionService
from apps.myadmin.service.ModuleService import ModuleService
from apps.myadmin.service.... | true | true |
f7f274ce7d2ff2ea783e6f4e98a2435bdbeac04c | 3,406 | py | Python | photo_album_server/user/views.py | Pu-Yongjun/photo-album | 6ba662c243802e53b5df5548a36c27cc31c5cede | [
"Apache-2.0"
] | 1 | 2020-12-11T05:46:37.000Z | 2020-12-11T05:46:37.000Z | photo_album_server/user/views.py | Pu-Yongjun/photo-album | 6ba662c243802e53b5df5548a36c27cc31c5cede | [
"Apache-2.0"
] | 19 | 2020-06-05T19:51:11.000Z | 2022-03-11T23:44:47.000Z | photo_album_server/user/views.py | parker-pu/photo-album | 6ba662c243802e53b5df5548a36c27cc31c5cede | [
"Apache-2.0"
] | null | null | null | # Create your views here.
import datetime
from django.contrib.auth.hashers import make_password
from django.contrib.auth.models import User
from rest_framework import viewsets, status
from rest_framework.authtoken.views import ObtainAuthToken
from rest_framework.response import Response
from rest_framework.authtoken.mo... | 34.06 | 89 | 0.633294 |
import datetime
from django.contrib.auth.hashers import make_password
from django.contrib.auth.models import User
from rest_framework import viewsets, status
from rest_framework.authtoken.views import ObtainAuthToken
from rest_framework.response import Response
from rest_framework.authtoken.models import Token
from cu... | true | true |
f7f27746e77464615b26f4232488e3f4caf2d687 | 3,782 | py | Python | strikethrough_identification/src/utils.py | RaphaelaHeil/strikethrough-removal-cyclegans | 91555b22cac6b6a379597aa94c23bdf02c9970a7 | [
"MIT"
] | 3 | 2021-08-30T12:37:14.000Z | 2022-02-09T16:07:14.000Z | strikethrough_identification/src/utils.py | RaphaelaHeil/strikethrough-removal-cyclegans | 91555b22cac6b6a379597aa94c23bdf02c9970a7 | [
"MIT"
] | null | null | null | strikethrough_identification/src/utils.py | RaphaelaHeil/strikethrough-removal-cyclegans | 91555b22cac6b6a379597aa94c23bdf02c9970a7 | [
"MIT"
] | 1 | 2021-08-30T12:17:31.000Z | 2021-08-30T12:17:31.000Z | """
Utility module.
"""
from math import ceil
import torch
from PIL import Image, ImageOps
from torchvision import models
from torchvision.transforms import Resize, Grayscale, ToTensor, Compose
from .configuration import Configuration, ModelName
class PadToSize:
"""
Custom transformation that maintains the ... | 37.445545 | 119 | 0.636171 | from math import ceil
import torch
from PIL import Image, ImageOps
from torchvision import models
from torchvision.transforms import Resize, Grayscale, ToTensor, Compose
from .configuration import Configuration, ModelName
class PadToSize:
def __init__(self, height: int, width: int, padWith: int = 1):
s... | true | true |
f7f27791b4271c7c2f63eccc709c82638bec71dc | 5,013 | py | Python | rich/logging.py | cnheider/rich | 579a29c82081aa74437d9e2483ac9862c048415d | [
"MIT"
] | null | null | null | rich/logging.py | cnheider/rich | 579a29c82081aa74437d9e2483ac9862c048415d | [
"MIT"
] | 1 | 2022-03-30T12:38:51.000Z | 2022-03-30T12:38:51.000Z | rich/logging.py | cnheider/rich | 579a29c82081aa74437d9e2483ac9862c048415d | [
"MIT"
] | null | null | null | import logging
from datetime import datetime
from logging import Handler, LogRecord
from pathlib import Path
from typing import ClassVar, List, Optional, Type
from rich._log_render import LogRender
from rich.console import Console
from rich.highlighter import Highlighter, ReprHighlighter
from rich.text import Text
fr... | 35.055944 | 129 | 0.621384 | import logging
from datetime import datetime
from logging import Handler, LogRecord
from pathlib import Path
from typing import ClassVar, List, Optional, Type
from rich._log_render import LogRender
from rich.console import Console
from rich.highlighter import Highlighter, ReprHighlighter
from rich.text import Text
fr... | true | true |
f7f277c54cccdecfd593bae20f0540a1d2d1c87b | 780 | py | Python | TexSoup/tex.py | bpiwowar/TexSoup | e0a659251c5a81b29352a29985d5af8cc28422ad | [
"BSD-2-Clause"
] | 190 | 2016-09-26T08:38:31.000Z | 2022-02-10T23:18:00.000Z | TexSoup/tex.py | bpiwowar/TexSoup | e0a659251c5a81b29352a29985d5af8cc28422ad | [
"BSD-2-Clause"
] | 127 | 2016-05-20T07:31:06.000Z | 2022-02-16T14:48:09.000Z | TexSoup/tex.py | bpiwowar/TexSoup | e0a659251c5a81b29352a29985d5af8cc28422ad | [
"BSD-2-Clause"
] | 44 | 2017-07-23T19:58:00.000Z | 2021-12-03T12:57:48.000Z | from TexSoup.reader import read_expr, read_tex
from TexSoup.data import *
from TexSoup.utils import *
from TexSoup.tokens import tokenize
from TexSoup.category import categorize
import itertools
def read(tex, skip_envs=(), tolerance=0):
"""Read and parse all LaTeX source.
:param Union[str,iterable] tex: LaTe... | 33.913043 | 70 | 0.710256 | from TexSoup.reader import read_expr, read_tex
from TexSoup.data import *
from TexSoup.utils import *
from TexSoup.tokens import tokenize
from TexSoup.category import categorize
import itertools
def read(tex, skip_envs=(), tolerance=0):
if not isinstance(tex, str):
tex = ''.join(itertools.chain(*tex))
... | true | true |
f7f278ac2aa851adf19f760c8e867588b2593fa5 | 668 | py | Python | server/manage.py | katergin/agfzb-CloudAppDevelopment_Capstone | e30e0ded61bf838c44650fbdef39d77b6c765344 | [
"Apache-2.0"
] | null | null | null | server/manage.py | katergin/agfzb-CloudAppDevelopment_Capstone | e30e0ded61bf838c44650fbdef39d77b6c765344 | [
"Apache-2.0"
] | null | null | null | server/manage.py | katergin/agfzb-CloudAppDevelopment_Capstone | e30e0ded61bf838c44650fbdef39d77b6c765344 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'djangobackend.settings')
try:
from django.core.management import execute_from_command_line
excep... | 30.363636 | 77 | 0.682635 |
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'djangobackend.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's installed and "... | true | true |
f7f2790c5ab380528253e7975d061500522323f1 | 397 | py | Python | imagewrite/asgi.py | elyak123/imagewrite | 973c6e5c940cffcc7f906f7c1dea32166fc51be0 | [
"MIT"
] | null | null | null | imagewrite/asgi.py | elyak123/imagewrite | 973c6e5c940cffcc7f906f7c1dea32166fc51be0 | [
"MIT"
] | null | null | null | imagewrite/asgi.py | elyak123/imagewrite | 973c6e5c940cffcc7f906f7c1dea32166fc51be0 | [
"MIT"
] | null | null | null | """
ASGI config for imagewrite project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SE... | 23.352941 | 78 | 0.788413 |
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'imagewrite.settings')
application = get_asgi_application()
| true | true |
f7f2795083e70ecbfa8ca1e2c02bf2a4160c502d | 400 | py | Python | food_manage/wsgi.py | gordy2015/food_manage | 730fc88f97925bd250c0450df2da3e61e31e2530 | [
"FSFAP"
] | null | null | null | food_manage/wsgi.py | gordy2015/food_manage | 730fc88f97925bd250c0450df2da3e61e31e2530 | [
"FSFAP"
] | null | null | null | food_manage/wsgi.py | gordy2015/food_manage | 730fc88f97925bd250c0450df2da3e61e31e2530 | [
"FSFAP"
] | null | null | null | """
WSGI config for food_manage project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_... | 23.529412 | 78 | 0.79 |
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "food_manage.settings")
application = get_wsgi_application()
| true | true |
f7f279df33f74849d366ccd4acb09c4c8ae065aa | 9,780 | py | Python | tfmiss/text/unicode_transform.py | shkarupa-alex/tfmiss | 4fe1bb3a47327c07711f910ee53319167032b6af | [
"MIT"
] | 1 | 2019-06-25T15:58:20.000Z | 2019-06-25T15:58:20.000Z | tfmiss/text/unicode_transform.py | shkarupa-alex/tfmiss | 4fe1bb3a47327c07711f910ee53319167032b6af | [
"MIT"
] | 1 | 2021-11-11T12:56:51.000Z | 2021-11-11T12:56:51.000Z | tfmiss/text/unicode_transform.py | shkarupa-alex/tfmiss | 4fe1bb3a47327c07711f910ee53319167032b6af | [
"MIT"
] | 2 | 2020-02-11T15:46:58.000Z | 2021-11-21T02:47:36.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from tensorflow.python.ops.ragged import ragged_tensor
from tfmiss.ops import tfmiss_ops
def char_category(source, first=True, skip=None, name=None):
"""Get first/last character ca... | 35.306859 | 108 | 0.6409 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from tensorflow.python.ops.ragged import ragged_tensor
from tfmiss.ops import tfmiss_ops
def char_category(source, first=True, skip=None, name=None):
with tf.name_scope(name or 'ch... | true | true |
f7f27a353faf5bd5604b7e7e532bffaa371e701e | 17,822 | py | Python | sdk/network/azure-mgmt-network/azure/mgmt/network/v2017_08_01/operations/_express_route_circuit_peerings_operations.py | iscai-msft/azure-sdk-for-python | 83715b95c41e519d5be7f1180195e2fba136fc0f | [
"MIT"
] | 1 | 2021-06-02T08:01:35.000Z | 2021-06-02T08:01:35.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2017_08_01/operations/_express_route_circuit_peerings_operations.py | iscai-msft/azure-sdk-for-python | 83715b95c41e519d5be7f1180195e2fba136fc0f | [
"MIT"
] | 226 | 2019-07-24T07:57:21.000Z | 2019-10-15T01:07:24.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2017_08_01/operations/_express_route_circuit_peerings_operations.py | iscai-msft/azure-sdk-for-python | 83715b95c41e519d5be7f1180195e2fba136fc0f | [
"MIT"
] | 1 | 2019-06-17T22:18:23.000Z | 2019-06-17T22:18:23.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 47.780161 | 195 | 0.676467 |
import uuid
from msrest.pipeline import ClientRawResponse
from msrestazure.azure_exceptions import CloudError
from msrest.polling import LROPoller, NoPolling
from msrestazure.polling.arm_polling import ARMPolling
from .. import models
class ExpressRouteCircuitPeeringsOperations(object):
models = mode... | true | true |
f7f27a4456f17023f481f09eaf68cf69a116aa6e | 8,974 | py | Python | code/dgrechka/train_mobileNetV2_bottleneck.py | dgrechka/bengaliai-cv19 | 9ef15c5b140628337ae6efe0d76e7ec5d291dc17 | [
"MIT"
] | null | null | null | code/dgrechka/train_mobileNetV2_bottleneck.py | dgrechka/bengaliai-cv19 | 9ef15c5b140628337ae6efe0d76e7ec5d291dc17 | [
"MIT"
] | null | null | null | code/dgrechka/train_mobileNetV2_bottleneck.py | dgrechka/bengaliai-cv19 | 9ef15c5b140628337ae6efe0d76e7ec5d291dc17 | [
"MIT"
] | null | null | null | import tensorflow as tf
import sys
import os
sys.path.append(os.path.join(__file__,'..','..'))
from tfDataIngest import tfDataSetParquet as tfDsParquet
from tfDataIngest import tfDataSetParquetAnnotateTrain as tfDsParquetAnnotation
import os
import pandas as pd
from tqdm import tqdm
from glob import glob
from models.... | 39.359649 | 130 | 0.642077 | import tensorflow as tf
import sys
import os
sys.path.append(os.path.join(__file__,'..','..'))
from tfDataIngest import tfDataSetParquet as tfDsParquet
from tfDataIngest import tfDataSetParquetAnnotateTrain as tfDsParquetAnnotation
import os
import pandas as pd
from tqdm import tqdm
from glob import glob
from models.... | true | true |
f7f27cbb2a2fa17f5784febd2cb69d1587ce3d8e | 2,919 | py | Python | Toolkits/VCS/repology__repology-api/repology/fetcher/git.py | roscopecoltran/SniperKit-Core | 4600dffe1cddff438b948b6c22f586d052971e04 | [
"MIT"
] | null | null | null | Toolkits/VCS/repology__repology-api/repology/fetcher/git.py | roscopecoltran/SniperKit-Core | 4600dffe1cddff438b948b6c22f586d052971e04 | [
"MIT"
] | null | null | null | Toolkits/VCS/repology__repology-api/repology/fetcher/git.py | roscopecoltran/SniperKit-Core | 4600dffe1cddff438b948b6c22f586d052971e04 | [
"MIT"
] | null | null | null | # Copyright (C) 2016-2017 Dmitry Marakasov <amdmi3@amdmi3.ru>
#
# This file is part of repology
#
# repology is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your optio... | 48.65 | 135 | 0.673518 |
import os
from repology.logger import NoopLogger
from repology.subprocess import RunSubprocess
class GitFetcher():
def __init__(self, url, branch='master', sparse_checkout=None):
self.url = url
self.branch = branch
self.sparse_checkout = sparse_checkout
def __SetupSp... | true | true |
f7f27cc7d9f95c75d79b112559f1be5f9fc2094b | 57,035 | py | Python | Python27/Lib/test/test_codecs.py | xuyue1998/Json2Lua_Tools | 539c4e52cb8ac1257f660bf902d964e1a476257c | [
"MIT"
] | 66 | 2015-01-17T23:13:44.000Z | 2018-04-20T21:44:35.000Z | Python27/Lib/test/test_codecs.py | xuyue1998/Json2Lua_Tools | 539c4e52cb8ac1257f660bf902d964e1a476257c | [
"MIT"
] | 20 | 2015-04-20T12:09:12.000Z | 2022-03-12T01:25:04.000Z | Python27/Lib/test/test_codecs.py | xuyue1998/Json2Lua_Tools | 539c4e52cb8ac1257f660bf902d964e1a476257c | [
"MIT"
] | 24 | 2015-07-22T08:08:54.000Z | 2021-12-28T06:56:09.000Z | from test import test_support
import unittest
import codecs
import sys, StringIO, _testcapi
class Queue(object):
"""
queue: write bytes at one end, read bytes from the other end
"""
def __init__(self):
self._buffer = ""
def write(self, chars):
self._buffer += chars
def read(se... | 35.315789 | 115 | 0.554396 | from test import test_support
import unittest
import codecs
import sys, StringIO, _testcapi
class Queue(object):
"""
queue: write bytes at one end, read bytes from the other end
"""
def __init__(self):
self._buffer = ""
def write(self, chars):
self._buffer += chars
def read(se... | false | true |
f7f27d0911af6911935ffc658b9dc43919c7d924 | 244 | py | Python | tests/apps/app1/models/__init__.py | coboyoshi/uvicore | 9cfdeeac83000b156fe48f068b4658edaf51c8de | [
"MIT"
] | 11 | 2021-03-22T22:07:49.000Z | 2022-03-08T16:18:33.000Z | tests/apps/app1/models/__init__.py | coboyoshi/uvicore | 9cfdeeac83000b156fe48f068b4658edaf51c8de | [
"MIT"
] | 12 | 2021-03-04T05:51:24.000Z | 2021-09-22T05:16:18.000Z | tests/apps/app1/models/__init__.py | coboyoshi/uvicore | 9cfdeeac83000b156fe48f068b4658edaf51c8de | [
"MIT"
] | 2 | 2021-03-25T14:49:56.000Z | 2021-11-17T23:20:29.000Z | from .attribute import Attribute
from .comment import Comment
from .contact import Contact
from .hashtag import Hashtag
from .image import Image
from .post import Post
from .tag import Tag
from .user_info import UserInfo
from .user import User
| 24.4 | 32 | 0.815574 | from .attribute import Attribute
from .comment import Comment
from .contact import Contact
from .hashtag import Hashtag
from .image import Image
from .post import Post
from .tag import Tag
from .user_info import UserInfo
from .user import User
| true | true |
f7f280483ffaf8a232b1b13cefd82bf0fba202a9 | 8,717 | py | Python | httpresplog/httpresplog.py | beebyte/httpresplog | f71b84308bf23390ffc8b481fe5aaa73dc5299f4 | [
"MIT"
] | null | null | null | httpresplog/httpresplog.py | beebyte/httpresplog | f71b84308bf23390ffc8b481fe5aaa73dc5299f4 | [
"MIT"
] | null | null | null | httpresplog/httpresplog.py | beebyte/httpresplog | f71b84308bf23390ffc8b481fe5aaa73dc5299f4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""httpresplog - HTTP response time logging.
Similar to https://github.com/sii/httpresptime except it logs to a database,
and a lot of options have been stripped out.
THIS IS THE WORK OF JUST A FEW HOURS, it needs a lot of polishing and
cleaning, but it works. The goal was speed of development ... | 29.449324 | 127 | 0.636572 |
import time
import argparse
import pymysql
import pymysql.cursors
import datetime
import requests
from urllib.parse import urlparse
import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
CHROME_USER_AGENT = "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome... | true | true |
f7f28076cb9b777dffa2614d60f1e3cbb9bfb55c | 258 | py | Python | nezzle/widgets/dockwidget.py | dwgoon/nezzle | c69d111ae5e57ee2a7db85e14299c23d3b98a6d5 | [
"MIT"
] | 2 | 2021-10-06T08:54:02.000Z | 2021-10-06T16:17:18.000Z | nezzle/widgets/dockwidget.py | dwgoon/nezzle | c69d111ae5e57ee2a7db85e14299c23d3b98a6d5 | [
"MIT"
] | null | null | null | nezzle/widgets/dockwidget.py | dwgoon/nezzle | c69d111ae5e57ee2a7db85e14299c23d3b98a6d5 | [
"MIT"
] | null | null | null | from qtpy.QtCore import Signal
from qtpy.QtWidgets import QDockWidget
class DockWidget(QDockWidget):
closeEventOccured = Signal(bool)
def closeEvent(self, event):
self.closeEventOccured.emit(False)
return super().closeEvent(event)
| 23.454545 | 42 | 0.74031 | from qtpy.QtCore import Signal
from qtpy.QtWidgets import QDockWidget
class DockWidget(QDockWidget):
closeEventOccured = Signal(bool)
def closeEvent(self, event):
self.closeEventOccured.emit(False)
return super().closeEvent(event)
| true | true |
f7f28081d44188bdf0e1b8a3901d340031293b27 | 4,267 | py | Python | tests/test_app.py | uSpike/raspberry-api | 5f855463b2ff0dca13188ddcc0dab9440bbac484 | [
"MIT"
] | 2 | 2016-04-05T04:17:44.000Z | 2019-03-21T07:52:04.000Z | tests/test_app.py | uSpike/raspberry-api-server | 5f855463b2ff0dca13188ddcc0dab9440bbac484 | [
"MIT"
] | null | null | null | tests/test_app.py | uSpike/raspberry-api-server | 5f855463b2ff0dca13188ddcc0dab9440bbac484 | [
"MIT"
] | null | null | null |
from contextlib import contextmanager
import tempfile
from flask_testing import TestCase
from raspberry_api.server.app import app
# monkey patch
from raspberry_api.server.spi import _flashrom
from raspberry_api.server.gpio import GPIO
class Base(TestCase):
def create_app(self):
app.config['TESTING'] = ... | 28.831081 | 81 | 0.547692 |
from contextlib import contextmanager
import tempfile
from flask_testing import TestCase
from raspberry_api.server.app import app
from raspberry_api.server.spi import _flashrom
from raspberry_api.server.gpio import GPIO
class Base(TestCase):
def create_app(self):
app.config['TESTING'] = True
r... | true | true |
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