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classes | is_sharp_comment_removed bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1c4086c300846640ff43fa76f34d9aae7872760c | 68 | py | Python | 7 kyu/Exes and Ohs/Exes and Ohs.py | anthonyjatoba/codewars | 76b0d66dd1ba76a4d136b658920cdf85fd5c4b06 | [
"MIT"
] | null | null | null | 7 kyu/Exes and Ohs/Exes and Ohs.py | anthonyjatoba/codewars | 76b0d66dd1ba76a4d136b658920cdf85fd5c4b06 | [
"MIT"
] | null | null | null | 7 kyu/Exes and Ohs/Exes and Ohs.py | anthonyjatoba/codewars | 76b0d66dd1ba76a4d136b658920cdf85fd5c4b06 | [
"MIT"
] | null | null | null | def xo(s):
s = s.lower()
return s.count('x') == s.count('o') | 22.666667 | 39 | 0.485294 | def xo(s):
s = s.lower()
return s.count('x') == s.count('o') | true | true |
1c4087d8a8fde9d7ae8bc928220890c1cc009ddf | 8,421 | py | Python | tools/data_converter/image_classification/image_classification_data.py | matarof/tpu | d2e3b810134b200214f42cb004f20fe6b8e2cab4 | [
"Apache-2.0"
] | 5,098 | 2018-02-09T16:56:49.000Z | 2022-03-31T13:50:40.000Z | tools/data_converter/image_classification/image_classification_data.py | matarof/tpu | d2e3b810134b200214f42cb004f20fe6b8e2cab4 | [
"Apache-2.0"
] | 550 | 2018-02-07T05:30:06.000Z | 2022-03-13T22:00:09.000Z | tools/data_converter/image_classification/image_classification_data.py | matarof/tpu | d2e3b810134b200214f42cb004f20fe6b8e2cab4 | [
"Apache-2.0"
] | 1,920 | 2018-02-07T23:44:49.000Z | 2022-03-29T03:11:08.000Z | # Copyright 2019 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... | 30.400722 | 80 | 0.641135 |
import abc
import os
import six
import tensorflow.compat.v1 as tf
import tensorflow_datasets.public_api as tfds
import image_utils as image
_REQUIRED_INPUTS = [
'image_fobj',
'label',
]
_VERSION = '0.1.0'
class ImageClassificationBuilder(tfds.core.GeneratorBasedBuilder):
VERSION = tfds.core.... | true | true |
1c4089e21b7947affd5d4e0335cbd83bde92af9f | 10,435 | py | Python | blueoil/generate_lmnet_config.py | msakai/blueoil | 0c9160b524b17482d59ae48a0c11384f1d26dccc | [
"Apache-2.0"
] | 248 | 2018-10-19T01:48:42.000Z | 2022-01-31T02:34:24.000Z | blueoil/generate_lmnet_config.py | oatawa1/blueoil | 6a5f1cc1fb78c86423338f99cb9dbf506a76f3d6 | [
"Apache-2.0"
] | 1,102 | 2018-10-19T04:50:34.000Z | 2021-08-02T04:22:10.000Z | blueoil/generate_lmnet_config.py | oatawa1/blueoil | 6a5f1cc1fb78c86423338f99cb9dbf506a76f3d6 | [
"Apache-2.0"
] | 110 | 2018-10-19T01:49:02.000Z | 2022-01-31T02:34:26.000Z | # -*- coding: utf-8 -*-
# Copyright 2018 The Blueoil 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
#
# Unles... | 34.438944 | 101 | 0.653378 |
import importlib
import os
from tempfile import NamedTemporaryFile
from jinja2 import Environment, FileSystemLoader
_TASK_TYPE_TEMPLATE_FILE = {
"classification": "classification.tpl.py",
"object_detection": "object_detection.tpl.py",
"semantic_segmentation": "semantic_segmentation.tpl.py"... | true | true |
1c408a451ce19687080e53396a1ce9bc991b7b7d | 8,822 | py | Python | batchgenerators/examples/brats2017/brats2017_dataloader_2D.py | ramesh152/batchgenerators | 709a46a96333fd1b36205feb74059781b730b18b | [
"Apache-2.0"
] | null | null | null | batchgenerators/examples/brats2017/brats2017_dataloader_2D.py | ramesh152/batchgenerators | 709a46a96333fd1b36205feb74059781b730b18b | [
"Apache-2.0"
] | null | null | null | batchgenerators/examples/brats2017/brats2017_dataloader_2D.py | ramesh152/batchgenerators | 709a46a96333fd1b36205feb74059781b730b18b | [
"Apache-2.0"
] | 1 | 2019-10-19T02:20:16.000Z | 2019-10-19T02:20:16.000Z | from time import time
from batchgenerators.augmentations.crop_and_pad_augmentations import crop
from batchgenerators.dataloading import MultiThreadedAugmenter
from batchgenerators.examples.brats2017.brats2017_dataloader_3D import get_list_of_patients, BraTS2017DataLoader3D, \
get_train_transform
from batchgenerator... | 51.590643 | 131 | 0.710383 | from time import time
from batchgenerators.augmentations.crop_and_pad_augmentations import crop
from batchgenerators.dataloading import MultiThreadedAugmenter
from batchgenerators.examples.brats2017.brats2017_dataloader_3D import get_list_of_patients, BraTS2017DataLoader3D, \
get_train_transform
from batchgenerator... | true | true |
1c408a9aee927765791ec0f8397a13865a1b4e1a | 599 | py | Python | jaxlib/version.py | tomhennigan/jax | fb6c9f64e49880e3c3d0ff9a2ef7345fc9bbe717 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | jaxlib/version.py | tomhennigan/jax | fb6c9f64e49880e3c3d0ff9a2ef7345fc9bbe717 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | jaxlib/version.py | tomhennigan/jax | fb6c9f64e49880e3c3d0ff9a2ef7345fc9bbe717 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 37.4375 | 74 | 0.75793 |
__version__ = "0.1.36"
| true | true |
1c408b947d5026f58a30e2878874e81d9390a574 | 20,386 | py | Python | waymo_open_dataset/utils/range_image_utils.py | kprohith/waymo-open-dataset | 9c519584cb95c6e2d3c909722298978668075542 | [
"Apache-2.0"
] | 3 | 2019-09-19T02:09:09.000Z | 2019-10-05T11:50:47.000Z | waymo_open_dataset/utils/range_image_utils.py | kprohith/waymo-open-dataset | 9c519584cb95c6e2d3c909722298978668075542 | [
"Apache-2.0"
] | null | null | null | waymo_open_dataset/utils/range_image_utils.py | kprohith/waymo-open-dataset | 9c519584cb95c6e2d3c909722298978668075542 | [
"Apache-2.0"
] | 1 | 2020-03-28T16:50:05.000Z | 2020-03-28T16:50:05.000Z | # Copyright 2019 The Waymo Open Dataset 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... | 39.128599 | 80 | 0.629304 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import tensorflow as tf
__all__ = [
'compute_range_image_polar', 'compute_range_image_cartesian',
'build_range_image_from_point_cloud', 'build_camera_depth_image',
... | true | true |
1c408bf453d235e6774b1819db465cf99a3624f6 | 1,053 | py | Python | qa/rpc-tests/reindex.py | mirzaei-ce/core-goldbit | cc957d795f7af032967943208171acee8a527441 | [
"MIT"
] | null | null | null | qa/rpc-tests/reindex.py | mirzaei-ce/core-goldbit | cc957d795f7af032967943208171acee8a527441 | [
"MIT"
] | null | null | null | qa/rpc-tests/reindex.py | mirzaei-ce/core-goldbit | cc957d795f7af032967943208171acee8a527441 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
# Copyright (c) 2014-2015 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
#
# Test -reindex with CheckBlockIndex
#
from test_framework.test_framework import GoldbitTestFramework
f... | 31.909091 | 102 | 0.698955 |
from test_framework.test_framework import GoldbitTestFramework
from test_framework.util import *
class ReindexTest(GoldbitTestFramework):
def setup_chain(self):
print("Initializing test directory "+self.options.tmpdir)
initialize_chain_clean(self.options.tmpdir, 1)
def setup_network(s... | false | true |
1c408c36b6bdfcbced5d5fa89616a441e1a3f104 | 417 | py | Python | Semester2/ShapeTester/Box.py | ConstantineLinardakis/Programming1Portfolio | 9062590de87e495ecf19b759a5d7a132a6982e3b | [
"MIT"
] | 1 | 2020-11-23T19:02:21.000Z | 2020-11-23T19:02:21.000Z | Semester2/ShapeTester/Box.py | ConstantineLinardakis/Programming1Portfolio | 9062590de87e495ecf19b759a5d7a132a6982e3b | [
"MIT"
] | null | null | null | Semester2/ShapeTester/Box.py | ConstantineLinardakis/Programming1Portfolio | 9062590de87e495ecf19b759a5d7a132a6982e3b | [
"MIT"
] | null | null | null | class Box:
l = 0
w = 0
h = 0
def __init__(self,l,w,h):
self.l = l
self.w = w
self.h = h
def calcvolume(self):
l = self.l
w = self.w
h = self.h
print("The volume equals:", str(w*l*h))
def calcsurface(self):
l = self.l
w ... | 18.130435 | 68 | 0.441247 | class Box:
l = 0
w = 0
h = 0
def __init__(self,l,w,h):
self.l = l
self.w = w
self.h = h
def calcvolume(self):
l = self.l
w = self.w
h = self.h
print("The volume equals:", str(w*l*h))
def calcsurface(self):
l = self.l
w ... | true | true |
1c408c442e1e807f5d4ecb8193daa5b1f4184032 | 6,167 | py | Python | IO/radiation.py | storage4grid/PROFESS-PROFEV | adf4e26488225206c249938c9eecc394a06f9677 | [
"Apache-2.0"
] | null | null | null | IO/radiation.py | storage4grid/PROFESS-PROFEV | adf4e26488225206c249938c9eecc394a06f9677 | [
"Apache-2.0"
] | null | null | null | IO/radiation.py | storage4grid/PROFESS-PROFEV | adf4e26488225206c249938c9eecc394a06f9677 | [
"Apache-2.0"
] | null | null | null | import configparser
import datetime
import json
from math import floor, ceil
import requests
from IO.locationData import LocationData
from utils_intern.messageLogger import MessageLogger
logger = MessageLogger.get_logger_parent()
# Date = Date & time (UTC)
# EPV = PV power output if requested (W)
# Bi = In-pl... | 41.113333 | 118 | 0.574185 | import configparser
import datetime
import json
from math import floor, ceil
import requests
from IO.locationData import LocationData
from utils_intern.messageLogger import MessageLogger
logger = MessageLogger.get_logger_parent()
class RadiationData:
def __init__(self, date=datetime.datetime.now(), pv_... | true | true |
1c408e8e8f9bc32650dab15d276e34f5c4975c7f | 5,268 | py | Python | sscutils/validation_functions.py | papsebestyen/sscutils | dff8b62ab31c9dfe1494264f9319e287945762bc | [
"MIT"
] | null | null | null | sscutils/validation_functions.py | papsebestyen/sscutils | dff8b62ab31c9dfe1494264f9319e287945762bc | [
"MIT"
] | 21 | 2021-09-15T15:31:22.000Z | 2022-03-20T17:10:50.000Z | sscutils/validation_functions.py | papsebestyen/sscutils | dff8b62ab31c9dfe1494264f9319e287945762bc | [
"MIT"
] | 2 | 2021-09-08T14:12:00.000Z | 2021-09-29T10:58:08.000Z | import re
from functools import partial
from pathlib import Path
from dvc.repo import Repo
from structlog import get_logger
from .artifact_context import ArtifactContext
from .config_loading import DataEnvSpecification, DatasetConfig, ProjectConfig
from .exceptions import DatasetSetupException
from .helpers import im... | 29.104972 | 78 | 0.699696 | import re
from functools import partial
from pathlib import Path
from dvc.repo import Repo
from structlog import get_logger
from .artifact_context import ArtifactContext
from .config_loading import DataEnvSpecification, DatasetConfig, ProjectConfig
from .exceptions import DatasetSetupException
from .helpers import im... | true | true |
1c40908184a82d7860927bce9404708df87a428f | 3,111 | py | Python | cctbx/maptbx/resolution_from_map_and_model.py | rimmartin/cctbx_project | 644090f9432d9afc22cfb542fc3ab78ca8e15e5d | [
"BSD-3-Clause-LBNL"
] | null | null | null | cctbx/maptbx/resolution_from_map_and_model.py | rimmartin/cctbx_project | 644090f9432d9afc22cfb542fc3ab78ca8e15e5d | [
"BSD-3-Clause-LBNL"
] | null | null | null | cctbx/maptbx/resolution_from_map_and_model.py | rimmartin/cctbx_project | 644090f9432d9afc22cfb542fc3ab78ca8e15e5d | [
"BSD-3-Clause-LBNL"
] | null | null | null | from __future__ import division
from cctbx.array_family import flex
from cctbx import maptbx
from libtbx import group_args
from cctbx import miller
class run_loop(object):
def __init__(self, fc, f_obs, b_iso, d_mins, d_spacings, ss):
result = maptbx.cc_complex_complex(
f_1 = f_obs.data(),
f_2 ... | 33.095745 | 77 | 0.660881 | from __future__ import division
from cctbx.array_family import flex
from cctbx import maptbx
from libtbx import group_args
from cctbx import miller
class run_loop(object):
def __init__(self, fc, f_obs, b_iso, d_mins, d_spacings, ss):
result = maptbx.cc_complex_complex(
f_1 = f_obs.data(),
f_2 ... | false | true |
1c4090dcb2015b0c5a4cc7088154f7ca9e7c6fc2 | 27,882 | py | Python | gedl/RPCGenerator.py | gaps-closure/capo | 894d2f6d291ff79e18c77e0ca7073531147cbee8 | [
"BSD-3-Clause"
] | 1 | 2021-04-20T18:43:44.000Z | 2021-04-20T18:43:44.000Z | gedl/RPCGenerator.py | gaps-closure/capo | 894d2f6d291ff79e18c77e0ca7073531147cbee8 | [
"BSD-3-Clause"
] | 1 | 2021-09-23T14:55:43.000Z | 2021-09-23T18:09:35.000Z | gedl/RPCGenerator.py | gaps-closure/capo | 894d2f6d291ff79e18c77e0ca7073531147cbee8 | [
"BSD-3-Clause"
] | 1 | 2020-05-21T03:12:16.000Z | 2020-05-21T03:12:16.000Z | import json
import sys
import copy
import os
from argparse import ArgumentParser
def argparser(enclaveList, enclaveMap):
parser = ArgumentParser(description='CLOSURE RPC File and Wrapper Generator')
parser.add_argument('-o','--odir', required=True, type=str, help='Output Directory')
parser.add_argument('-g... | 75.560976 | 238 | 0.551718 | import json
import sys
import copy
import os
from argparse import ArgumentParser
def argparser(enclaveList, enclaveMap):
parser = ArgumentParser(description='CLOSURE RPC File and Wrapper Generator')
parser.add_argument('-o','--odir', required=True, type=str, help='Output Directory')
parser.add_argument('-g... | true | true |
1c40916eb433571c4cd4fc33eb695f5113d7ecfa | 9,370 | py | Python | snips_nlu/dataset.py | ddorian/snips-nlu | 0934d386bb138ebb34764446416856cfac664e65 | [
"Apache-2.0"
] | null | null | null | snips_nlu/dataset.py | ddorian/snips-nlu | 0934d386bb138ebb34764446416856cfac664e65 | [
"Apache-2.0"
] | null | null | null | snips_nlu/dataset.py | ddorian/snips-nlu | 0934d386bb138ebb34764446416856cfac664e65 | [
"Apache-2.0"
] | null | null | null | from __future__ import division, unicode_literals
import json
from builtins import str
from collections import Counter
from copy import deepcopy
from future.utils import iteritems, itervalues
from snips_nlu_ontology import get_all_languages
from snips_nlu.constants import (AUTOMATICALLY_EXTENSIBLE, CAPITALIZE, DATA,... | 39.369748 | 79 | 0.673212 | from __future__ import division, unicode_literals
import json
from builtins import str
from collections import Counter
from copy import deepcopy
from future.utils import iteritems, itervalues
from snips_nlu_ontology import get_all_languages
from snips_nlu.constants import (AUTOMATICALLY_EXTENSIBLE, CAPITALIZE, DATA,... | true | true |
1c409292ee3ecf1d4fccae874588048198c4f948 | 3,185 | py | Python | b_stage_deployment_test/testing_infrastructure.py | ignaloidas/B.StageDeployment | 951af38e675e7d469e70d3460836d1e70bc1f63b | [
"Apache-2.0"
] | null | null | null | b_stage_deployment_test/testing_infrastructure.py | ignaloidas/B.StageDeployment | 951af38e675e7d469e70d3460836d1e70bc1f63b | [
"Apache-2.0"
] | null | null | null | b_stage_deployment_test/testing_infrastructure.py | ignaloidas/B.StageDeployment | 951af38e675e7d469e70d3460836d1e70bc1f63b | [
"Apache-2.0"
] | 1 | 2021-02-01T10:28:32.000Z | 2021-02-01T10:28:32.000Z | from aws_cdk.aws_apigatewayv2 import CfnApi, CfnStage, CfnRoute, CfnIntegration
from aws_cdk.aws_lambda import Function, Code, Runtime
from aws_cdk.core import Construct
from b_aws_testing_framework.tools.cdk_testing.testing_manager import TestingManager
from b_aws_testing_framework.tools.cdk_testing.testing_stack impo... | 36.609195 | 108 | 0.595918 | from aws_cdk.aws_apigatewayv2 import CfnApi, CfnStage, CfnRoute, CfnIntegration
from aws_cdk.aws_lambda import Function, Code, Runtime
from aws_cdk.core import Construct
from b_aws_testing_framework.tools.cdk_testing.testing_manager import TestingManager
from b_aws_testing_framework.tools.cdk_testing.testing_stack impo... | true | true |
1c4093d7d9b58530b9b92d6b80208734e55bb251 | 2,498 | py | Python | CircleciScripts/framework_list.py | code-surf/aws-sdk-ios | 7d2d99691419e8aaaf70911cd9c34eece79c0a02 | [
"Apache-2.0"
] | null | null | null | CircleciScripts/framework_list.py | code-surf/aws-sdk-ios | 7d2d99691419e8aaaf70911cd9c34eece79c0a02 | [
"Apache-2.0"
] | null | null | null | CircleciScripts/framework_list.py | code-surf/aws-sdk-ios | 7d2d99691419e8aaaf70911cd9c34eece79c0a02 | [
"Apache-2.0"
] | null | null | null | # A list of frameworks/packages for the AWS iOS SDK. As of now, order on these
# packages is important, since we don't model dependencies in code that we
# consume for the release process. Packages toward the bottom of the list
# depend on packages toward the top of the list.
# Note that this list isn't a comprehensiv... | 26.860215 | 83 | 0.618094 |
# consume for the release process. Packages toward the bottom of the list
# depend on packages toward the top of the list.
# Note that this list isn't a comprehensive list of Xcode schemas or targets
grouped_frameworks = [
[
'AWSCore',
'AWSCognitoIdentityProviderASF',
],
[
... | true | true |
1c4094387a9d3f0cd170326eb874c55e90798d9e | 9,919 | py | Python | tests/components/modbus/test_modbus_sensor.py | jlvaillant/core | ae37f9a1d9c5067957854b3c25dcc73fe9a10bee | [
"Apache-2.0"
] | 2 | 2019-11-20T20:56:59.000Z | 2021-01-03T08:52:18.000Z | tests/components/modbus/test_modbus_sensor.py | jlvaillant/core | ae37f9a1d9c5067957854b3c25dcc73fe9a10bee | [
"Apache-2.0"
] | 5 | 2020-04-26T10:50:01.000Z | 2021-03-16T21:19:46.000Z | tests/components/modbus/test_modbus_sensor.py | winterscar/core | 5a55d508791aae65f16396691d014c73fb2095f0 | [
"Apache-2.0"
] | 1 | 2021-04-18T19:36:34.000Z | 2021-04-18T19:36:34.000Z | """The tests for the Modbus sensor component."""
from datetime import timedelta
from unittest import mock
import pytest
from homeassistant.components.modbus.const import (
CALL_TYPE_REGISTER_HOLDING,
CALL_TYPE_REGISTER_INPUT,
CONF_COUNT,
CONF_DATA_TYPE,
CONF_OFFSET,
CONF_PRECISION,
CONF_RE... | 27.940845 | 92 | 0.654401 | from datetime import timedelta
from unittest import mock
import pytest
from homeassistant.components.modbus.const import (
CALL_TYPE_REGISTER_HOLDING,
CALL_TYPE_REGISTER_INPUT,
CONF_COUNT,
CONF_DATA_TYPE,
CONF_OFFSET,
CONF_PRECISION,
CONF_REGISTER,
CONF_REGISTER_TYPE,
CONF_REGISTER... | true | true |
1c40946627caba4610fd0f0f0091de2790b9ccf1 | 1,018 | py | Python | tests/rules/test_cp_create_destination.py | HiteshMah-Jan/thefuck | 132c62262246824470934c2c6f46919ef6f00203 | [
"MIT"
] | 75,504 | 2015-04-08T18:22:19.000Z | 2022-03-31T23:59:52.000Z | tests/rules/test_cp_create_destination.py | HiteshMah-Jan/thefuck | 132c62262246824470934c2c6f46919ef6f00203 | [
"MIT"
] | 1,160 | 2015-04-17T18:47:12.000Z | 2022-03-30T20:42:26.000Z | tests/rules/test_cp_create_destination.py | HiteshMah-Jan/thefuck | 132c62262246824470934c2c6f46919ef6f00203 | [
"MIT"
] | 4,399 | 2015-04-17T18:36:04.000Z | 2022-03-31T07:01:03.000Z | import pytest
from thefuck.rules.cp_create_destination import match, get_new_command
from thefuck.types import Command
@pytest.mark.parametrize(
"script, output",
[("cp", "cp: directory foo does not exist\n"), ("mv", "No such file or directory")],
)
def test_match(script, output):
assert match(Command(scr... | 32.83871 | 106 | 0.654224 | import pytest
from thefuck.rules.cp_create_destination import match, get_new_command
from thefuck.types import Command
@pytest.mark.parametrize(
"script, output",
[("cp", "cp: directory foo does not exist\n"), ("mv", "No such file or directory")],
)
def test_match(script, output):
assert match(Command(scr... | true | true |
1c409472d8cb1e03d6991c52aa165e63f057563c | 505 | py | Python | week2/scripts/publisher2.py | manasdesai/Robotics-Automation-QSTP-2021 | a51e01dd9fcbae106f618d82737e01e279ba0ff2 | [
"MIT"
] | 1 | 2021-09-19T03:34:35.000Z | 2021-09-19T03:34:35.000Z | week2/scripts/publisher2.py | manasdesai/Robotics-Automation-QSTP-2021 | a51e01dd9fcbae106f618d82737e01e279ba0ff2 | [
"MIT"
] | null | null | null | week2/scripts/publisher2.py | manasdesai/Robotics-Automation-QSTP-2021 | a51e01dd9fcbae106f618d82737e01e279ba0ff2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import rospy
from std_msgs.msg import String
def publisher():
pub=rospy.Publisher('World',String,queue_size=10)
rospy.init_node('publish2',anonymous=True)
rate=rospy.Rate(10)
while not rospy.is_shutdown():
pub.publish('World')
publishstring='World is being pub... | 25.25 | 53 | 0.649505 |
import rospy
from std_msgs.msg import String
def publisher():
pub=rospy.Publisher('World',String,queue_size=10)
rospy.init_node('publish2',anonymous=True)
rate=rospy.Rate(10)
while not rospy.is_shutdown():
pub.publish('World')
publishstring='World is being published'
rospy... | true | true |
1c409484510aab17d13a436173f168f6acfe19e1 | 889 | py | Python | api/responders/grafana/__init__.py | korenlev/calipso-cvim | 39278a5cf09c40b26a8a143ccc0c8d437961abc2 | [
"Apache-2.0"
] | null | null | null | api/responders/grafana/__init__.py | korenlev/calipso-cvim | 39278a5cf09c40b26a8a143ccc0c8d437961abc2 | [
"Apache-2.0"
] | null | null | null | api/responders/grafana/__init__.py | korenlev/calipso-cvim | 39278a5cf09c40b26a8a143ccc0c8d437961abc2 | [
"Apache-2.0"
] | null | null | null | ###############################################################################
# Copyright (c) 2017-2020 Koren Lev (Cisco Systems), #
# Yaron Yogev (Cisco Systems), Ilia Abashin (Cisco Systems) and others #
# #
... | 55.5625 | 79 | 0.460067 | true | true | |
1c4095e149b03c67d4661ad4fca4684d6028a5e9 | 318 | py | Python | rastervision/evaluation/api.py | carderne/raster-vision | 915fbcd3263d8f2193e65c2cd0eb53e050a47a01 | [
"Apache-2.0"
] | 4 | 2019-03-11T12:38:15.000Z | 2021-04-06T14:57:52.000Z | rastervision/evaluation/api.py | carderne/raster-vision | 915fbcd3263d8f2193e65c2cd0eb53e050a47a01 | [
"Apache-2.0"
] | null | null | null | rastervision/evaluation/api.py | carderne/raster-vision | 915fbcd3263d8f2193e65c2cd0eb53e050a47a01 | [
"Apache-2.0"
] | 1 | 2021-12-02T08:07:21.000Z | 2021-12-02T08:07:21.000Z | # flake8: noqa
# Registry keys
EVALUATOR = 'EVALUATOR'
OBJECT_DETECTION_EVALUATOR = 'OBJECT_DETECTION_EVALUATOR'
CHIP_CLASSIFICATION_EVALUATOR = 'CHIP_CLASSIFICATION_EVALUATOR'
SEMANTIC_SEGMENTATION_EVALUATOR = 'SEMANTIC_SEGMENTATION_EVALUATOR'
from rastervision.evaluation.evaluator_config import EvaluatorConfig
| 26.5 | 68 | 0.86478 |
EVALUATOR = 'EVALUATOR'
OBJECT_DETECTION_EVALUATOR = 'OBJECT_DETECTION_EVALUATOR'
CHIP_CLASSIFICATION_EVALUATOR = 'CHIP_CLASSIFICATION_EVALUATOR'
SEMANTIC_SEGMENTATION_EVALUATOR = 'SEMANTIC_SEGMENTATION_EVALUATOR'
from rastervision.evaluation.evaluator_config import EvaluatorConfig
| true | true |
1c40969107ea62c91965c9ee8aec48640843570c | 1,251 | py | Python | tests.py | MasterOdin/LogicalEquivalency | c1f4e053c4c18b8fc23a5842944bbd9ef9f37843 | [
"MIT"
] | 1 | 2018-02-02T17:11:24.000Z | 2018-02-02T17:11:24.000Z | tests.py | MasterOdin/LogicalEquivalency | c1f4e053c4c18b8fc23a5842944bbd9ef9f37843 | [
"MIT"
] | null | null | null | tests.py | MasterOdin/LogicalEquivalency | c1f4e053c4c18b8fc23a5842944bbd9ef9f37843 | [
"MIT"
] | 1 | 2019-01-16T21:11:52.000Z | 2019-01-16T21:11:52.000Z | import copy
from forseti.formula import Symbol, Or, And, Not
from nose import runmodule
from nose.tools import assert_equal, assert_true
import util
from extra_formulas import GeneralizedAnd, GeneralizedOr
def test_helper():
statement = Or(Or(Symbol("B"), Symbol("C")), Symbol("A"))
new_statement, change = uti... | 37.909091 | 98 | 0.677058 | import copy
from forseti.formula import Symbol, Or, And, Not
from nose import runmodule
from nose.tools import assert_equal, assert_true
import util
from extra_formulas import GeneralizedAnd, GeneralizedOr
def test_helper():
statement = Or(Or(Symbol("B"), Symbol("C")), Symbol("A"))
new_statement, change = uti... | true | true |
1c40979d9fa04f5d63f1a60a08cb903ed94e2d4b | 1,652 | py | Python | exe/load_spiketimes_subsampled.py | Priesemann-Group/historydependence | e1adc5eea8cb05cc686bfda0b979244b34d63bb4 | [
"BSD-3-Clause"
] | 1 | 2022-03-25T21:56:53.000Z | 2022-03-25T21:56:53.000Z | exe/load_spiketimes_subsampled.py | Priesemann-Group/historydependence | e1adc5eea8cb05cc686bfda0b979244b34d63bb4 | [
"BSD-3-Clause"
] | null | null | null | exe/load_spiketimes_subsampled.py | Priesemann-Group/historydependence | e1adc5eea8cb05cc686bfda0b979244b34d63bb4 | [
"BSD-3-Clause"
] | null | null | null | from sys import stderr, exit, argv
from os.path import isfile, isdir, realpath, dirname, exists
import numpy as np
from scipy.io import loadmat
# Loading spiketimes for entorhinal cortex recording
recorded_system = argv[1]
run_index = int(argv[2])
rec_length = argv[3]
if len(argv) > 4:
data_path = argv[4]
else:
... | 31.169811 | 108 | 0.710048 | from sys import stderr, exit, argv
from os.path import isfile, isdir, realpath, dirname, exists
import numpy as np
from scipy.io import loadmat
recorded_system = argv[1]
run_index = int(argv[2])
rec_length = argv[3]
if len(argv) > 4:
data_path = argv[4]
else:
CODE_DIR = '{}/..'.format(dirname(realpath(__file... | true | true |
1c4097f0c6e4c010cfebeb8ec84a06cd6e86692b | 42,266 | py | Python | util/genIncJS.py | ahmedmrefaat/lang | 68e962ada2ab3d81398cb2651fead30205f01c20 | [
"Apache-2.0"
] | null | null | null | util/genIncJS.py | ahmedmrefaat/lang | 68e962ada2ab3d81398cb2651fead30205f01c20 | [
"Apache-2.0"
] | null | null | null | util/genIncJS.py | ahmedmrefaat/lang | 68e962ada2ab3d81398cb2651fead30205f01c20 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright 2017 Yoav Seginer, Theo Vosse, Gil Harari, and Uri Kolodny.
# 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... | 32.738962 | 139 | 0.654403 |
# javascript files. Changes to the run-time javascript files take affect
# with but a reload of the browser, while changes to typescript files require
# compiling typescript to javascript (but not cdl recompilation or
# re-generation of the .html file by this ... | true | true |
1c40984042dd5944e2952e5085793718543a185e | 464 | py | Python | setup.py | rohansurve212/Black_Friday_Data_Hack | 83e536db35383b7e5266cf8370405b20aa4641b0 | [
"MIT"
] | null | null | null | setup.py | rohansurve212/Black_Friday_Data_Hack | 83e536db35383b7e5266cf8370405b20aa4641b0 | [
"MIT"
] | null | null | null | setup.py | rohansurve212/Black_Friday_Data_Hack | 83e536db35383b7e5266cf8370405b20aa4641b0 | [
"MIT"
] | 1 | 2019-11-20T20:52:32.000Z | 2019-11-20T20:52:32.000Z | from setuptools import find_packages, setup
setup(
name='src',
packages=find_packages(),
version='0.1.0',
description='A retail company "ABC Private Limited" wants to understand the customer purchase behaviour (specifically, purchase amount) against various products of different categories. They have s... | 42.181818 | 297 | 0.760776 | from setuptools import find_packages, setup
setup(
name='src',
packages=find_packages(),
version='0.1.0',
description='A retail company "ABC Private Limited" wants to understand the customer purchase behaviour (specifically, purchase amount) against various products of different categories. They have s... | true | true |
1c4098c795f2d81b7286028374fdf10586f51fe0 | 149 | py | Python | application/rustLab/src/saySMTH.py | pianoft/subStringSearchUsingRust | 722ec006d54614b61708a804ed0f658d1b64841d | [
"MIT"
] | null | null | null | application/rustLab/src/saySMTH.py | pianoft/subStringSearchUsingRust | 722ec006d54614b61708a804ed0f658d1b64841d | [
"MIT"
] | null | null | null | application/rustLab/src/saySMTH.py | pianoft/subStringSearchUsingRust | 722ec006d54614b61708a804ed0f658d1b64841d | [
"MIT"
] | null | null | null | import subprocess
import sys
def say(files):
subprocess.run(['spd-say -w -r 50 -i 100 "'+files+'";'], shell=True)
return
say(sys.argv[1])
| 14.9 | 72 | 0.630872 | import subprocess
import sys
def say(files):
subprocess.run(['spd-say -w -r 50 -i 100 "'+files+'";'], shell=True)
return
say(sys.argv[1])
| true | true |
1c4098d9a3e1c3fcf7b89358aabcf4cc56825e04 | 417 | py | Python | src/dataset/dataset_factory.py | lupvasile/keypoint-mot | e185f150e5ea5f234c06402b8ea5db30487d16cc | [
"Apache-2.0"
] | null | null | null | src/dataset/dataset_factory.py | lupvasile/keypoint-mot | e185f150e5ea5f234c06402b8ea5db30487d16cc | [
"Apache-2.0"
] | 1 | 2020-10-06T13:17:41.000Z | 2020-10-06T17:38:47.000Z | src/dataset/dataset_factory.py | lupvasile/keypoint-mot | e185f150e5ea5f234c06402b8ea5db30487d16cc | [
"Apache-2.0"
] | 2 | 2020-09-01T05:48:25.000Z | 2021-12-27T18:34:51.000Z | from config import config
from dataset import generic_dataset, nuscenes_dataset
DATASETS = {'nuscenes': nuscenes_dataset.NuscenesDataset}
def get_dataset(dataset_name: str, subset: str, opts: generic_dataset.DatasetOptions, mini_version: bool):
return DATASETS[dataset_name](subset=subset, dataset_root=config.get... | 41.7 | 107 | 0.757794 | from config import config
from dataset import generic_dataset, nuscenes_dataset
DATASETS = {'nuscenes': nuscenes_dataset.NuscenesDataset}
def get_dataset(dataset_name: str, subset: str, opts: generic_dataset.DatasetOptions, mini_version: bool):
return DATASETS[dataset_name](subset=subset, dataset_root=config.get... | true | true |
1c40996853a1bb6f37c0af088d55832404461e76 | 1,232 | py | Python | external/workload-automation/wa/workloads/homescreen/__init__.py | qais-yousef/lisa | 8343e26bf0565589928a69ccbe67b1be03403db7 | [
"Apache-2.0"
] | 159 | 2016-01-25T11:08:39.000Z | 2022-03-28T05:20:41.000Z | external/workload-automation/wa/workloads/homescreen/__init__.py | qais-yousef/lisa | 8343e26bf0565589928a69ccbe67b1be03403db7 | [
"Apache-2.0"
] | 656 | 2016-01-25T11:16:56.000Z | 2022-03-23T16:03:28.000Z | external/workload-automation/wa/workloads/homescreen/__init__.py | qais-yousef/lisa | 8343e26bf0565589928a69ccbe67b1be03403db7 | [
"Apache-2.0"
] | 127 | 2015-03-11T16:36:17.000Z | 2022-02-15T02:26:43.000Z | # Copyright 2013-2017 ARM Limited
#
# 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 agreed to in w... | 29.333333 | 87 | 0.696429 |
from wa import Workload, Parameter
class HomeScreen(Workload):
name = 'homescreen'
description = """
A workload that goes to the home screen and idles for the the
specified duration.
"""
supported_platforms = ['android']
parameters = [
Parameter('duration', kind... | true | true |
1c409a06ca2bbf206d7c22c10aa1a7a8e7d67207 | 715 | py | Python | eeggan/pytorch/modules/modify/noise.py | kahartma/eeggan | 1fd5b45938ea6f1033f301430a5c7fb3b9bf4fb4 | [
"BSD-3-Clause"
] | 3 | 2020-08-04T08:54:55.000Z | 2021-02-19T14:17:46.000Z | eeggan/pytorch/modules/modify/noise.py | kahartma/eeggan | 1fd5b45938ea6f1033f301430a5c7fb3b9bf4fb4 | [
"BSD-3-Clause"
] | 2 | 2020-10-08T14:14:20.000Z | 2021-06-11T07:08:42.000Z | eeggan/pytorch/modules/modify/noise.py | kahartma/eeggan | 1fd5b45938ea6f1033f301430a5c7fb3b9bf4fb4 | [
"BSD-3-Clause"
] | 2 | 2020-07-06T11:00:36.000Z | 2020-08-10T20:48:43.000Z | # Author: Kay Hartmann <kg.hartma@gmail.com>
import torch
from torch import nn
from eeggan.pytorch.modules.module import Module
from eeggan.pytorch.utils.weights import fill_weights_normal
class WeightedNoise(Module):
def __init__(self, n_features, n_time):
super().__init__()
self.weight_conv =... | 28.6 | 68 | 0.667133 |
import torch
from torch import nn
from eeggan.pytorch.modules.module import Module
from eeggan.pytorch.utils.weights import fill_weights_normal
class WeightedNoise(Module):
def __init__(self, n_features, n_time):
super().__init__()
self.weight_conv = nn.Conv1d(1, n_features, 1, bias=False)
... | true | true |
1c409ab22a09222efa40721215f153389109b31f | 2,408 | py | Python | python/docs/file_handling.py | caleberi/LeetCode | fa170244648f73e76d316a6d7fc0e813adccaa82 | [
"MIT"
] | 1 | 2021-08-10T20:00:24.000Z | 2021-08-10T20:00:24.000Z | python/docs/file_handling.py | caleberi/LeetCode | fa170244648f73e76d316a6d7fc0e813adccaa82 | [
"MIT"
] | null | null | null | python/docs/file_handling.py | caleberi/LeetCode | fa170244648f73e76d316a6d7fc0e813adccaa82 | [
"MIT"
] | 3 | 2021-06-11T11:56:39.000Z | 2021-08-10T08:50:49.000Z | import sys
from random import randint
import pickle
_file_object = None
def count_file_lines(path):
file = open("input.txt","r")
count = 0
# while file.readline()!='':
# count+=1
#OR
for line in file:
count+=1
file.close();
return count
def set_stdout(path,mode):
... | 21.122807 | 65 | 0.656977 | import sys
from random import randint
import pickle
_file_object = None
def count_file_lines(path):
file = open("input.txt","r")
count = 0
for line in file:
count+=1
file.close();
return count
def set_stdout(path,mode):
global _file_object
_file_object = open(... | true | true |
1c409ad508c1eae122b7a06a9bacbc2b829b4b63 | 1,283 | py | Python | homework/hw07/editor/primitives.py | zltshadow/CS61A-2019-summer | 0f5dd0be5f51927364aec1bc974526837328b695 | [
"MIT"
] | 3 | 2021-11-21T06:09:39.000Z | 2022-03-12T08:05:27.000Z | project/pro4-scheme/editor/primitives.py | zltshadow/CS61A-2019-summer | 0f5dd0be5f51927364aec1bc974526837328b695 | [
"MIT"
] | null | null | null | project/pro4-scheme/editor/primitives.py | zltshadow/CS61A-2019-summer | 0f5dd0be5f51927364aec1bc974526837328b695 | [
"MIT"
] | null | null | null | from typing import List
from helper import verify_exact_callable_length
from log import Holder
from datamodel import Expression
from evaluate_apply import Frame, evaluate_all, Applicable
class BuiltIn(Applicable):
def execute(self, operands: List[Expression], frame: Frame, gui_holder: Holder, eval_operands=True... | 32.075 | 118 | 0.718628 | from typing import List
from helper import verify_exact_callable_length
from log import Holder
from datamodel import Expression
from evaluate_apply import Frame, evaluate_all, Applicable
class BuiltIn(Applicable):
def execute(self, operands: List[Expression], frame: Frame, gui_holder: Holder, eval_operands=True... | true | true |
1c409b1d5977d47078785e85a8ed5dcc6bda98ef | 17,700 | py | Python | azure-mgmt-network/azure/mgmt/network/v2017_08_01/operations/local_network_gateways_operations.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 4 | 2016-06-17T23:25:29.000Z | 2022-03-30T22:37:45.000Z | azure-mgmt-network/azure/mgmt/network/v2017_08_01/operations/local_network_gateways_operations.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 2 | 2016-09-30T21:40:24.000Z | 2017-11-10T18:16:18.000Z | azure-mgmt-network/azure/mgmt/network/v2017_08_01/operations/local_network_gateways_operations.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 3 | 2016-05-03T20:49:46.000Z | 2017-10-05T21:05:27.000Z | # 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 ... | 45.153061 | 157 | 0.669096 |
import uuid
from msrest.pipeline import ClientRawResponse
from msrestazure.azure_exceptions import CloudError
from msrest.exceptions import DeserializationError
from msrestazure.azure_operation import AzureOperationPoller
from .. import models
class LocalNetworkGatewaysOperations(object):
models = mo... | true | true |
1c409d645821398acbf2c2725c69932ce4d91f2b | 5,431 | py | Python | data/external/repositories_2to3/137656/blundercheck-master/combine/contest_20150303a/modeling/fit_errorchunk_models.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | null | null | null | data/external/repositories_2to3/137656/blundercheck-master/combine/contest_20150303a/modeling/fit_errorchunk_models.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | null | null | null | data/external/repositories_2to3/137656/blundercheck-master/combine/contest_20150303a/modeling/fit_errorchunk_models.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | 1 | 2019-12-04T08:23:33.000Z | 2019-12-04T08:23:33.000Z | #!/usr/bin/env python
import os, code
import pickle as pickle
from djeval import *
import numpy as np
from pandas import read_pickle, cut, concat, Series, get_dummies
from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier, ExtraTreesClassifier
from sklearn.cross_validation import Strat... | 42.100775 | 226 | 0.669674 |
import os, code
import pickle as pickle
from djeval import *
import numpy as np
from pandas import read_pickle, cut, concat, Series, get_dummies
from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier, ExtraTreesClassifier
from sklearn.cross_validation import StratifiedKFold, cross_val_... | true | true |
1c409e3d1e5473d1df3c2d6d1260a8eddbe059ab | 30,300 | py | Python | framework/JobHandler.py | bonifak/raven | 666978e8546d1f948b2ad55a4c3b0fce5cc8533c | [
"Apache-2.0"
] | null | null | null | framework/JobHandler.py | bonifak/raven | 666978e8546d1f948b2ad55a4c3b0fce5cc8533c | [
"Apache-2.0"
] | null | null | null | framework/JobHandler.py | bonifak/raven | 666978e8546d1f948b2ad55a4c3b0fce5cc8533c | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Battelle Energy Alliance, LLC
#
# 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 agreed t... | 41.678129 | 226 | 0.651518 |
from __future__ import division, print_function, unicode_literals, absolute_import
import warnings
warnings.simplefilter('default',DeprecationWarning)
import time
import collections
import subprocess
import os
import copy
import sys
import abc
import threading
import random
import socket
from utils... | true | true |
1c409e9156c0eb16b725cac2a4f067e9d329c65f | 2,047 | py | Python | chia/server/start_full_node.py | ForestCrazy/chia-blockchain-remote-plot | 0ba838b7a8ea2b5410d438ac70295df699a30dae | [
"Apache-2.0"
] | 11,902 | 2019-12-05T00:14:29.000Z | 2022-03-31T23:25:37.000Z | chia/server/start_full_node.py | ForestCrazy/chia-blockchain-remote-plot | 0ba838b7a8ea2b5410d438ac70295df699a30dae | [
"Apache-2.0"
] | 5,246 | 2019-12-05T04:00:03.000Z | 2022-03-31T21:33:30.000Z | chia/server/start_full_node.py | Devh4ox4d/silishitcoin | 4372d06aa4a54220f2bde29c8081410503679a82 | [
"Apache-2.0"
] | 2,149 | 2019-12-05T11:12:53.000Z | 2022-03-31T06:08:34.000Z | import logging
import pathlib
from multiprocessing import freeze_support
from typing import Dict
from chia.consensus.constants import ConsensusConstants
from chia.consensus.default_constants import DEFAULT_CONSTANTS
from chia.full_node.full_node import FullNode
from chia.full_node.full_node_api import FullNodeAPI
from... | 31.015152 | 87 | 0.741085 | import logging
import pathlib
from multiprocessing import freeze_support
from typing import Dict
from chia.consensus.constants import ConsensusConstants
from chia.consensus.default_constants import DEFAULT_CONSTANTS
from chia.full_node.full_node import FullNode
from chia.full_node.full_node_api import FullNodeAPI
from... | true | true |
1c409eb65c6a92e583e1f42208d95c66824f1c7f | 449 | py | Python | env/Lib/site-packages/plotly/validators/scattergl/marker/colorbar/title/_text.py | andresgreen-byte/Laboratorio-1--Inversion-de-Capital | 8a4707301d19c3826c31026c4077930bcd6a8182 | [
"MIT"
] | 11,750 | 2015-10-12T07:03:39.000Z | 2022-03-31T20:43:15.000Z | venv/Lib/site-packages/plotly/validators/scattergl/marker/colorbar/title/_text.py | wakisalvador/constructed-misdirection | 74779e9ec640a11bc08d5d1967c85ac4fa44ea5e | [
"Unlicense"
] | 2,951 | 2015-10-12T00:41:25.000Z | 2022-03-31T22:19:26.000Z | venv/Lib/site-packages/plotly/validators/scattergl/marker/colorbar/title/_text.py | wakisalvador/constructed-misdirection | 74779e9ec640a11bc08d5d1967c85ac4fa44ea5e | [
"Unlicense"
] | 2,623 | 2015-10-15T14:40:27.000Z | 2022-03-28T16:05:50.000Z | import _plotly_utils.basevalidators
class TextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="text",
parent_name="scattergl.marker.colorbar.title",
**kwargs
):
super(TextValidator, self).__init__(
plotly_name=plotly_... | 26.411765 | 66 | 0.621381 | import _plotly_utils.basevalidators
class TextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="text",
parent_name="scattergl.marker.colorbar.title",
**kwargs
):
super(TextValidator, self).__init__(
plotly_name=plotly_... | true | true |
1c409f00899ab1c7539a27e717468362b2df8d14 | 2,500 | py | Python | demos/person_detect.py | altest-com/dnfal | d1fb15508c5583aeaa0957fcc3e37634d36bf237 | [
"MIT"
] | null | null | null | demos/person_detect.py | altest-com/dnfal | d1fb15508c5583aeaa0957fcc3e37634d36bf237 | [
"MIT"
] | 1 | 2020-03-31T17:04:09.000Z | 2020-03-31T17:04:09.000Z | demos/person_detect.py | altest-com/dnfal | d1fb15508c5583aeaa0957fcc3e37634d36bf237 | [
"MIT"
] | null | null | null | import argparse
import sys
from os import path
from time import time
import cv2 as cv
from cvtlib.drawing import Drawer
from cvtlib.image import resize
from utils import list_images, DEMOS_DIR, MODELS_DIR
from dnfal.persons import BodyDetector
from dnfal.loggers import logger, config_logger
def run(image_path: str,... | 26.041667 | 79 | 0.6248 | import argparse
import sys
from os import path
from time import time
import cv2 as cv
from cvtlib.drawing import Drawer
from cvtlib.image import resize
from utils import list_images, DEMOS_DIR, MODELS_DIR
from dnfal.persons import BodyDetector
from dnfal.loggers import logger, config_logger
def run(image_path: str,... | true | true |
1c409f237c768935f49616c6f9bf5539055aaee2 | 19,269 | py | Python | datasets/siam_rpn_dataset.py | ywang-37/EnhancedSiamShipTracking | 0b25cf02b6088268a6c374cb20a7f0355bc65b2e | [
"Apache-2.0"
] | 3 | 2022-03-03T09:14:50.000Z | 2022-03-28T13:46:29.000Z | datasets/siam_rpn_dataset.py | ywang-37/EnhancedSiamShipTracking | 0b25cf02b6088268a6c374cb20a7f0355bc65b2e | [
"Apache-2.0"
] | null | null | null | datasets/siam_rpn_dataset.py | ywang-37/EnhancedSiamShipTracking | 0b25cf02b6088268a6c374cb20a7f0355bc65b2e | [
"Apache-2.0"
] | null | null | null | from __future__ import division
from torch.utils.data import Dataset
import numpy as np
import json
import random
import logging
from os.path import join
from utils.bbox_helper import *
from utils.anchors import Anchors
import math
import sys
pyv = sys.version[0]
import cv2
if pyv[0] == '3':
cv2.ocl.setUseOpenCL(Fa... | 33.165232 | 117 | 0.539104 | from __future__ import division
from torch.utils.data import Dataset
import numpy as np
import json
import random
import logging
from os.path import join
from utils.bbox_helper import *
from utils.anchors import Anchors
import math
import sys
pyv = sys.version[0]
import cv2
if pyv[0] == '3':
cv2.ocl.setUseOpenCL(Fa... | true | true |
1c409f3486947fc3583859ea467e7541e363dce0 | 1,873 | py | Python | classifier.py | adithyasunil26/LID-Excitation-Features | ae15e3f24016723ddbb832421746d2c0ef64fd03 | [
"MIT"
] | null | null | null | classifier.py | adithyasunil26/LID-Excitation-Features | ae15e3f24016723ddbb832421746d2c0ef64fd03 | [
"MIT"
] | null | null | null | classifier.py | adithyasunil26/LID-Excitation-Features | ae15e3f24016723ddbb832421746d2c0ef64fd03 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn import preprocessing
from sklearn.metrics import classification_report
print("Loading data...")
df=pd.read_csv('ge... | 40.717391 | 118 | 0.744794 | import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn import preprocessing
from sklearn.metrics import classification_report
print("Loading data...")
df=pd.read_csv('ge... | true | true |
1c40a0eadbf9d3c24d1cbe180d9dda2ca9e5488c | 249 | py | Python | molmodmt/lib/__init__.py | LMMV/MolModMT | 5725d6d5627b07edcbbd5e55318345a136b28c35 | [
"MIT"
] | null | null | null | molmodmt/lib/__init__.py | LMMV/MolModMT | 5725d6d5627b07edcbbd5e55318345a136b28c35 | [
"MIT"
] | null | null | null | molmodmt/lib/__init__.py | LMMV/MolModMT | 5725d6d5627b07edcbbd5e55318345a136b28c35 | [
"MIT"
] | null | null | null | from .libbox import module_box as box
from .libgeometry import module_geometry as geometry
from .libmath import module_math as math
from .libcom import module_com as com
from .libpbc import module_pbc as pbc
from .librmsd import module_rmsd as rmsd
| 35.571429 | 52 | 0.831325 | from .libbox import module_box as box
from .libgeometry import module_geometry as geometry
from .libmath import module_math as math
from .libcom import module_com as com
from .libpbc import module_pbc as pbc
from .librmsd import module_rmsd as rmsd
| true | true |
1c40a12cbe2a34082679b984edcde861e85f515c | 2,167 | py | Python | clinicadl/train/tasks/reconstruction_cli.py | sophieloiz/clinicadl | d26a1c6ce4f6da9de59e3d15c27ae3be2d33bc9d | [
"MIT"
] | null | null | null | clinicadl/train/tasks/reconstruction_cli.py | sophieloiz/clinicadl | d26a1c6ce4f6da9de59e3d15c27ae3be2d33bc9d | [
"MIT"
] | null | null | null | clinicadl/train/tasks/reconstruction_cli.py | sophieloiz/clinicadl | d26a1c6ce4f6da9de59e3d15c27ae3be2d33bc9d | [
"MIT"
] | null | null | null | import click
from .. import train_option
from .task_utils import task_launcher
@click.command(name="reconstruction", no_args_is_help=True)
# Mandatory arguments
@train_option.caps_directory
@train_option.preprocessing_json
@train_option.tsv_directory
@train_option.output_maps
# Options
@train_option.config_file
# Co... | 30.521127 | 101 | 0.820951 | import click
from .. import train_option
from .task_utils import task_launcher
@click.command(name="reconstruction", no_args_is_help=True)
@train_option.caps_directory
@train_option.preprocessing_json
@train_option.tsv_directory
@train_option.output_maps
@train_option.config_file
@train_option.gpu
@train_option.n... | true | true |
1c40a1338382a36ef22891301005bcea31b2b08f | 644 | py | Python | src/apis/text/text/similarities/all-MiniLM-L6-v2/all-MiniLM-L6-v2.py | theunifai/unifai-apis-core | 1f2a9051c1e3df1bd19a96f22e4a07767ef3973a | [
"MIT"
] | 2 | 2021-11-09T07:18:06.000Z | 2022-01-04T19:37:17.000Z | src/apis/text/text/similarities/all-MiniLM-L6-v2/all-MiniLM-L6-v2.py | theunifai/unifai-apis-core | 1f2a9051c1e3df1bd19a96f22e4a07767ef3973a | [
"MIT"
] | 4 | 2021-11-04T08:28:59.000Z | 2021-11-07T05:59:59.000Z | src/apis/text/text/similarities/all-MiniLM-L6-v2/all-MiniLM-L6-v2.py | theunifai/unifai-apis-core | 1f2a9051c1e3df1bd19a96f22e4a07767ef3973a | [
"MIT"
] | 1 | 2022-01-07T09:12:22.000Z | 2022-01-07T09:12:22.000Z |
def predict(sentence_1: str, sentence_2: str) -> str:
"""
For two given sentences, say whether they are similar or not.
:param sentence_1: first sentence to compare
:param sentence_2: second sentence to compare
:return: similarity score (between 0 and 1)
"""
from sentence_transformers imp... | 30.666667 | 65 | 0.728261 |
def predict(sentence_1: str, sentence_2: str) -> str:
from sentence_transformers import SentenceTransformer, util
model = SentenceTransformer('all-MiniLM-L6-v2')
embedding1 = model.encode(sentence_1, convert_to_tensor=True)
embedding2 = model.encode(sentence_2, convert_to_tensor=True)
cosin... | true | true |
1c40a179b5c9b26cca7c57dde90dfa09fa7626b7 | 13,221 | py | Python | newsletter/tests/test_admin.py | vikrantsingh-vs53/Final-Senior-Year-Project- | 94f2786956ebaad08711701ef03071d1051e368c | [
"MIT"
] | 68 | 2019-05-02T06:54:59.000Z | 2022-03-08T07:54:06.000Z | newsletter/tests/test_admin.py | arjunkr123/Final-Senior-Year-Project- | 12b65915dbd9bf5a4a2ae7e3c56c7eaedcb8646b | [
"MIT"
] | 4 | 2019-12-26T16:41:30.000Z | 2022-01-18T22:02:03.000Z | newsletter/tests/test_admin.py | arjunkr123/Final-Senior-Year-Project- | 12b65915dbd9bf5a4a2ae7e3c56c7eaedcb8646b | [
"MIT"
] | 40 | 2019-03-08T20:21:05.000Z | 2022-03-15T03:48:46.000Z | import os
from django.contrib.auth import get_user_model
from django.contrib.auth.models import Permission
from django.core.urlresolvers import reverse
from django.test import TestCase
from django.test.utils import patch_logger
from newsletter import admin # Triggers model admin registration
from newsletter.admin_ut... | 35.540323 | 110 | 0.625596 | import os
from django.contrib.auth import get_user_model
from django.contrib.auth.models import Permission
from django.core.urlresolvers import reverse
from django.test import TestCase
from django.test.utils import patch_logger
from newsletter import admin
from newsletter.admin_utils import make_subscription
from n... | true | true |
1c40a1b821d8871c7412044d06a39c3001541806 | 7,979 | py | Python | azure/train_landcover.py | mjevans26/Satellite_ComputerVision | 013c69c5cf6f86126e6ad2d715f8b13b300e29a8 | [
"BSD-2-Clause"
] | 10 | 2020-04-06T04:51:27.000Z | 2022-02-23T16:00:43.000Z | azure/train_landcover.py | mjevans26/Satellite_ComputerVision | 013c69c5cf6f86126e6ad2d715f8b13b300e29a8 | [
"BSD-2-Clause"
] | 2 | 2020-04-06T06:25:35.000Z | 2021-03-22T21:55:41.000Z | azure/train_landcover.py | mjevans26/Satellite_ComputerVision | 013c69c5cf6f86126e6ad2d715f8b13b300e29a8 | [
"BSD-2-Clause"
] | 5 | 2020-04-18T16:44:44.000Z | 2021-08-31T00:10:08.000Z | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 21 12:13:11 2021
@author: MEvans
"""
from utils import model_tools, processing
from utils.prediction_tools import makePredDataset, callback_predictions, plot_to_image
from matplotlib import pyplot as plt
import argparse
import os
import glob
import json
import math
impor... | 37.995238 | 404 | 0.691816 |
from utils import model_tools, processing
from utils.prediction_tools import makePredDataset, callback_predictions, plot_to_image
from matplotlib import pyplot as plt
import argparse
import os
import glob
import json
import math
import tensorflow as tf
from datetime import datetime
from azureml.core import Run, Works... | true | true |
1c40a1ea96587cb8301d06fdf671f5dd84c4a694 | 2,219 | py | Python | config/_base_/models/retinanet_mydartsnet_fpn.py | automlresearch/autodetector | e959baf589fb329509cd25edcab11c7d22ea5e7e | [
"Apache-2.0"
] | null | null | null | config/_base_/models/retinanet_mydartsnet_fpn.py | automlresearch/autodetector | e959baf589fb329509cd25edcab11c7d22ea5e7e | [
"Apache-2.0"
] | null | null | null | config/_base_/models/retinanet_mydartsnet_fpn.py | automlresearch/autodetector | e959baf589fb329509cd25edcab11c7d22ea5e7e | [
"Apache-2.0"
] | 1 | 2021-12-08T08:28:16.000Z | 2021-12-08T08:28:16.000Z | # model settings
model = dict(
type='RetinaNet',
# pretrained='torchvision://resnet50',
# backbone=dict(
# type='ResNet',
# depth=50,
# num_stages=4,
# out_indices=(0, 1, 2, 3),
# frozen_stages=1,
# norm_cfg=dict(type='BN', requires_grad=True),
# norm_... | 29.986486 | 124 | 0.566021 |
model = dict(
type='RetinaNet',
pretrained="/home/p/Documents/experiment/experiment/Classification/PC-DARTS/pretained/0608_selected/model_best.pth.tar",
backbone=dict(
type='MyNetworkImageNet_FPN',
C=48,
n... | true | true |
1c40a20e9676da219f65a2279c95dfe0c266c1d7 | 1,009 | py | Python | FaceRecog/LiveFaceJudge.py | lnblanke/DL | 4d2631e27a1a5c6de1f7239c2979af63c4019e34 | [
"MIT"
] | null | null | null | FaceRecog/LiveFaceJudge.py | lnblanke/DL | 4d2631e27a1a5c6de1f7239c2979af63c4019e34 | [
"MIT"
] | null | null | null | FaceRecog/LiveFaceJudge.py | lnblanke/DL | 4d2631e27a1a5c6de1f7239c2979af63c4019e34 | [
"MIT"
] | null | null | null | # Judge whether the face in the camera is the person in the dataset
# @Time: 8/17/2020
# @Author: lnblanke
# @Email: fjh314.84@gmail.com
# @File: LiveFaceJudge.py
import cv2, dlib, numpy, time
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
model =... | 22.422222 | 83 | 0.704658 |
import cv2, dlib, numpy, time
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
model = dlib.face_recognition_model_v1("dlib_face_recognition_resnet_model_v1.dat")
global desp
pic = cv2.imread("Dataset/obama.jpg")
faces = detector(pic, 1)
for... | true | true |
1c40a2125b76ad4cc2545126d2abffb8b1786211 | 9,525 | py | Python | Time_Series/mainTestOfTSModels.py | ZGChung/P2E_FreqPred | 79544e9547a94b0d492d14af43ccf271cb175c47 | [
"MIT"
] | 2 | 2021-06-12T10:29:44.000Z | 2022-01-01T13:01:34.000Z | Time_Series/mainTestOfTSModels.py | ZGChung/P2E_FreqPred | 79544e9547a94b0d492d14af43ccf271cb175c47 | [
"MIT"
] | null | null | null | Time_Series/mainTestOfTSModels.py | ZGChung/P2E_FreqPred | 79544e9547a94b0d492d14af43ccf271cb175c47 | [
"MIT"
] | null | null | null | from warnings import simplefilter
import warnings
from statsmodels.tools.sm_exceptions import ConvergenceWarning
import pandas as pd
import numpy as np
from datetime import datetime
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import time
import sklearn as sk
import sklearn.metrics as metrics
from s... | 35.943396 | 118 | 0.758215 | from warnings import simplefilter
import warnings
from statsmodels.tools.sm_exceptions import ConvergenceWarning
import pandas as pd
import numpy as np
from datetime import datetime
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import time
import sklearn as sk
import sklearn.metrics as metrics
from s... | true | true |
1c40a23989ae80e4473f4505e19980540d22119f | 621 | py | Python | samples/websocket/web/app.py | Algorab/examples | c89c24876ac329ebdf2caef578a283a1249546bc | [
"Apache-2.0"
] | 17 | 2018-08-16T09:55:03.000Z | 2021-03-29T00:49:39.000Z | samples/websocket/web/app.py | Algorab/examples | c89c24876ac329ebdf2caef578a283a1249546bc | [
"Apache-2.0"
] | 14 | 2018-09-18T10:52:10.000Z | 2021-12-09T22:38:09.000Z | samples/websocket/web/app.py | Algorab/examples | c89c24876ac329ebdf2caef578a283a1249546bc | [
"Apache-2.0"
] | 17 | 2020-09-21T07:40:08.000Z | 2022-03-25T16:36:59.000Z | import os.path
import logging
from flask import request
def root_dir(): # pragma: no cover
return os.path.abspath(os.path.dirname(__file__))
def get_file(filename): # pragma: no cover
try:
src = os.path.join(root_dir(), filename)
# Figure out how flask returns static files
# Tried:
... | 25.875 | 61 | 0.639291 | import os.path
import logging
from flask import request
def root_dir():
return os.path.abspath(os.path.dirname(__file__))
def get_file(filename):
try:
src = os.path.join(root_dir(), filename)
return open(src).read()
except IOError as exc:
... | true | true |
1c40a30f099c634f5772a9978641a432fdc3189e | 6,661 | py | Python | networkx_mod/generators/tests/test_threshold.py | movingpictures83/MATria | d3dbd0d15e00dbc26db39ace0663868180fdc471 | [
"BSD-3-Clause",
"MIT"
] | null | null | null | networkx_mod/generators/tests/test_threshold.py | movingpictures83/MATria | d3dbd0d15e00dbc26db39ace0663868180fdc471 | [
"BSD-3-Clause",
"MIT"
] | null | null | null | networkx_mod/generators/tests/test_threshold.py | movingpictures83/MATria | d3dbd0d15e00dbc26db39ace0663868180fdc471 | [
"BSD-3-Clause",
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Threshold Graphs
================
"""
from nose.tools import *
from nose import SkipTest
from nose.plugins.attrib import attr
import networkx_mod as nx
import networkx_mod.generators.threshold as nxt
from networkx_mod.algorithms.isomorphism.isomorph import graph_could_be_isomorphic
cnlti = n... | 36.005405 | 82 | 0.607717 |
from nose.tools import *
from nose import SkipTest
from nose.plugins.attrib import attr
import networkx_mod as nx
import networkx_mod.generators.threshold as nxt
from networkx_mod.algorithms.isomorphism.isomorph import graph_could_be_isomorphic
cnlti = nx.convert_node_labels_to_integers
class TestGeneratorThresho... | true | true |
1c40a31df74207678516ba146b07306ed68ed2cb | 10,511 | py | Python | tx/tx_builder/bitcoin_v3_cpfp/merch_close_with_cpfp.py | fakecoinbase/boltlabs-incslashlibzkchannels | c0b43790c637f4ffd2956193b16f9ddcea94a3a4 | [
"MIT"
] | 68 | 2020-01-18T22:07:57.000Z | 2022-02-03T02:30:55.000Z | tx/tx_builder/bitcoin_v3_cpfp/merch_close_with_cpfp.py | fakecoinbase/boltlabs-incslashlibzkchannels | c0b43790c637f4ffd2956193b16f9ddcea94a3a4 | [
"MIT"
] | 2 | 2020-04-29T02:02:49.000Z | 2021-04-08T11:23:48.000Z | tx/tx_builder/bitcoin_v3_cpfp/merch_close_with_cpfp.py | fakecoinbase/boltlabs-incslashlibzkchannels | c0b43790c637f4ffd2956193b16f9ddcea94a3a4 | [
"MIT"
] | 3 | 2021-04-04T05:04:16.000Z | 2022-01-26T10:14:46.000Z | # Based on tutorial from:
# https://github.com/zeltsi/segwit_tutorial/tree/master/transactions
import argparse
import hashlib
import ecdsa
import sys
def dSHA256(data):
hash_1 = hashlib.sha256(data).digest()
hash_2 = hashlib.sha256(hash_1).digest()
return hash_2
def hash160(s):
'''sha256 followed by ... | 33.368254 | 122 | 0.694035 |
import argparse
import hashlib
import ecdsa
import sys
def dSHA256(data):
hash_1 = hashlib.sha256(data).digest()
hash_2 = hashlib.sha256(hash_1).digest()
return hash_2
def hash160(s):
return hashlib.new('ripemd160', hashlib.sha256(s).digest()).digest()
def privkey_to_pubkey(privkey):
signing_k... | true | true |
1c40a342679a1eaa8322cfbd8ecbc8309bb09213 | 390 | py | Python | openstack_dashboard/enabled/_1720_project_databases_panel.py | xinwu/horizon | 0e984a2c75d253dd35ab92e7926021b82d730b26 | [
"Apache-2.0"
] | null | null | null | openstack_dashboard/enabled/_1720_project_databases_panel.py | xinwu/horizon | 0e984a2c75d253dd35ab92e7926021b82d730b26 | [
"Apache-2.0"
] | null | null | null | openstack_dashboard/enabled/_1720_project_databases_panel.py | xinwu/horizon | 0e984a2c75d253dd35ab92e7926021b82d730b26 | [
"Apache-2.0"
] | null | null | null | # The slug of the panel to be added to HORIZON_CONFIG. Required.
PANEL = 'databases'
# The slug of the dashboard the PANEL associated with. Required.
PANEL_DASHBOARD = 'project'
# The slug of the panel group the PANEL is associated with.
PANEL_GROUP = 'database'
# Python panel class of the PANEL to be added.
ADD_PANEL... | 39 | 78 | 0.782051 |
PANEL = 'databases'
PANEL_DASHBOARD = 'project'
PANEL_GROUP = 'database'
ADD_PANEL = 'openstack_dashboard.dashboards.project.databases.panel.Databases'
| true | true |
1c40a48e830b627ca1d05cdbf1fc61968e871c4a | 22,637 | py | Python | tensorflow/python/keras/distribute/keras_correctness_test_base.py | leike666666/tensorflow | a3fd0ddfcb716be124e95b51e96e6c1e4507ef64 | [
"Apache-2.0"
] | 12 | 2020-12-28T18:42:10.000Z | 2022-03-24T17:34:21.000Z | tensorflow/python/keras/distribute/keras_correctness_test_base.py | leike666666/tensorflow | a3fd0ddfcb716be124e95b51e96e6c1e4507ef64 | [
"Apache-2.0"
] | 2 | 2021-08-25T15:58:11.000Z | 2022-02-10T01:47:24.000Z | tensorflow/python/keras/distribute/keras_correctness_test_base.py | leike666666/tensorflow | a3fd0ddfcb716be124e95b51e96e6c1e4507ef64 | [
"Apache-2.0"
] | 3 | 2020-03-09T19:17:02.000Z | 2020-06-26T23:14:31.000Z | # Copyright 2018 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... | 35.481191 | 105 | 0.688342 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
from absl.testing import parameterized
import numpy as np
import six
from tensorflow.python import keras
from tensorflow.python.data.ops import dataset_ops
from tensorflow.python... | true | true |
1c40a6eb8a3fb152356c57421c00424f19f98a0a | 8,302 | py | Python | gym-link/gym_link/envs/link_env.py | ivukotic/rl_examples | b6ca1a01429934cc936baa94753b3e08677e0fae | [
"MIT"
] | null | null | null | gym-link/gym_link/envs/link_env.py | ivukotic/rl_examples | b6ca1a01429934cc936baa94753b3e08677e0fae | [
"MIT"
] | null | null | null | gym-link/gym_link/envs/link_env.py | ivukotic/rl_examples | b6ca1a01429934cc936baa94753b3e08677e0fae | [
"MIT"
] | null | null | null | """
One network link environment.
Link has changing base load.
Actions: start 0 to 4 more transfers
Reward: percentage of free rate used. Gets negative if link fully saturated
Files sizes are normally distributed (absolute values).
"""
import math
from collections import deque
import gym
from gym import error, spaces... | 38.258065 | 114 | 0.593471 |
import math
from collections import deque
import gym
from gym import error, spaces, utils
from gym.utils import seeding
from gym.envs.classic_control import rendering
import numpy as np
class LinkEnv(gym.Env):
metadata = {
'render.modes': ['human', 'rgb_array'],
'video.frames_per_second': 50
... | true | true |
1c40a712b217d3224d9cbc01756f60232fa675ad | 691 | py | Python | web/news/migrations/0001_initial.py | NeumannSven/pyshb_web | e4df67dd2550fc8dccf84f26c28894eb86ffc31f | [
"MIT"
] | null | null | null | web/news/migrations/0001_initial.py | NeumannSven/pyshb_web | e4df67dd2550fc8dccf84f26c28894eb86ffc31f | [
"MIT"
] | null | null | null | web/news/migrations/0001_initial.py | NeumannSven/pyshb_web | e4df67dd2550fc8dccf84f26c28894eb86ffc31f | [
"MIT"
] | null | null | null | # Generated by Django 4.0.3 on 2022-03-15 19:28
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='news',
fields=[
('newsid', models.IntegerFi... | 26.576923 | 102 | 0.54848 |
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='news',
fields=[
('newsid', models.IntegerField(auto_created=True, primary_key=True, serial... | true | true |
1c40a7fc94e37aa860e57e22b861ba268c37050c | 1,392 | py | Python | Python Fundamentals/P2M5MatthewLane.py | mlane52/pythonteachingcode | 46f007a94dfc6afcc22b41952f9c486d5c4c145e | [
"MIT"
] | null | null | null | Python Fundamentals/P2M5MatthewLane.py | mlane52/pythonteachingcode | 46f007a94dfc6afcc22b41952f9c486d5c4c145e | [
"MIT"
] | null | null | null | Python Fundamentals/P2M5MatthewLane.py | mlane52/pythonteachingcode | 46f007a94dfc6afcc22b41952f9c486d5c4c145e | [
"MIT"
] | null | null | null | #MatthewLaneP2M5Final
import os
os.system ("curl https://raw.githubusercontent.com/MicrosoftLearning/intropython/master/elements1_20.txt -o ""elements1_20.txt")
def get_names() :
while True :
if(len(ele_list) < 5):
ele_input = input("Enter the name of an element: ").strip().lower()
... | 29.617021 | 129 | 0.635776 |
import os
os.system ("curl https://raw.githubusercontent.com/MicrosoftLearning/intropython/master/elements1_20.txt -o ""elements1_20.txt")
def get_names() :
while True :
if(len(ele_list) < 5):
ele_input = input("Enter the name of an element: ").strip().lower()
if not ele_input :... | true | true |
1c40a8057efc4770ba41bb544ae07945fc992d08 | 203 | py | Python | penerimaan_biji/penerimaan_biji/doctype/id_alat/test_id_alat.py | bobzz-zone/Biji | 02bf9001c7bd505041de57c4b952733421b80815 | [
"MIT"
] | null | null | null | penerimaan_biji/penerimaan_biji/doctype/id_alat/test_id_alat.py | bobzz-zone/Biji | 02bf9001c7bd505041de57c4b952733421b80815 | [
"MIT"
] | null | null | null | penerimaan_biji/penerimaan_biji/doctype/id_alat/test_id_alat.py | bobzz-zone/Biji | 02bf9001c7bd505041de57c4b952733421b80815 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2018, PT DAS and Contributors
# See license.txt
from __future__ import unicode_literals
import frappe
import unittest
class TestIDAlat(unittest.TestCase):
pass
| 18.454545 | 45 | 0.758621 |
from __future__ import unicode_literals
import frappe
import unittest
class TestIDAlat(unittest.TestCase):
pass
| true | true |
1c40a8a592ca0b34897e5b34e6106314ee52f7fb | 3,039 | py | Python | 6.006 Introduction to Algorithms MIT OCW/Lecture Notes/lec06_code/avl.py | SiyuIsaacParkerTian/self_learning | 662b27c60cbfad94d80bd40f46e9f2d0f4270826 | [
"MIT"
] | 2 | 2020-02-09T18:06:02.000Z | 2020-04-19T07:30:58.000Z | 6.006 Introduction to Algorithms MIT OCW/Lecture Notes/lec06_code/avl.py | SiyuIsaacParkerTian/self_learning | 662b27c60cbfad94d80bd40f46e9f2d0f4270826 | [
"MIT"
] | null | null | null | 6.006 Introduction to Algorithms MIT OCW/Lecture Notes/lec06_code/avl.py | SiyuIsaacParkerTian/self_learning | 662b27c60cbfad94d80bd40f46e9f2d0f4270826 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import bst
def height(node):
if node is None:
return -1
else:
return node.height
def update_height(node):
node.height = max(height(node.left), height(node.right)) + 1
class AVL(bst.BST):
"""
AVL binary search tree implementation.
Supports insert, delete, find, f... | 29.504854 | 75 | 0.529121 |
import bst
def height(node):
if node is None:
return -1
else:
return node.height
def update_height(node):
node.height = max(height(node.left), height(node.right)) + 1
class AVL(bst.BST):
def left_rotate(self, x):
y = x.right
y.parent = x.parent
if y.parent is... | true | true |
1c40a9449567adf10ec4b9ff383c65fec24d5def | 326 | py | Python | bioluigi/tasks/samtools.py | PavlidisLab/luigi-biotasks | fec1c247752278518b2906a2ce968477349fee45 | [
"Apache-2.0"
] | 5 | 2019-11-14T18:41:46.000Z | 2020-03-21T17:56:32.000Z | bioluigi/tasks/samtools.py | PavlidisLab/luigi-biotasks | fec1c247752278518b2906a2ce968477349fee45 | [
"Apache-2.0"
] | 8 | 2019-11-13T21:40:32.000Z | 2022-03-04T20:31:37.000Z | bioluigi/tasks/samtools.py | PavlidisLab/luigi-biotasks | fec1c247752278518b2906a2ce968477349fee45 | [
"Apache-2.0"
] | null | null | null | import luigi
from luigi.contrib.external_program import ExternalProgramTask
import os
class IndexBam(ExternalProgramTask):
bam_file = luigi.Parameter()
def program_args(self):
return ['samtools', 'index', self.bam_file]
def output(self):
return luigi.LocalTarget('{}.bai'.format(self.bam_f... | 25.076923 | 64 | 0.723926 | import luigi
from luigi.contrib.external_program import ExternalProgramTask
import os
class IndexBam(ExternalProgramTask):
bam_file = luigi.Parameter()
def program_args(self):
return ['samtools', 'index', self.bam_file]
def output(self):
return luigi.LocalTarget('{}.bai'.format(self.bam_f... | true | true |
1c40a9c5cbc74726c8fb2a338490323f64adc489 | 700 | py | Python | C/Matcher.py | aleksandr-gordeiko/mathlogic-itmo | 824b8942d487c0c112304fe7fa8e43f2a8aefa13 | [
"MIT"
] | null | null | null | C/Matcher.py | aleksandr-gordeiko/mathlogic-itmo | 824b8942d487c0c112304fe7fa8e43f2a8aefa13 | [
"MIT"
] | null | null | null | C/Matcher.py | aleksandr-gordeiko/mathlogic-itmo | 824b8942d487c0c112304fe7fa8e43f2a8aefa13 | [
"MIT"
] | null | null | null | # Copyright: Aleksandr Gordeiko 2020
from A.Node import Node
class Matcher:
def __init__(self):
self.node_schema_expressions = {}
def matches(self, node: Node, schema: Node):
if schema.sign is None:
try:
ex = self.node_schema_expressions[schema.expr]
except KeyError:
self.node_schema_expression... | 21.875 | 57 | 0.682857 |
from A.Node import Node
class Matcher:
def __init__(self):
self.node_schema_expressions = {}
def matches(self, node: Node, schema: Node):
if schema.sign is None:
try:
ex = self.node_schema_expressions[schema.expr]
except KeyError:
self.node_schema_expressions[schema.expr] = node.expr
retur... | true | true |
1c40aa2e8d5ea536a91163f1c124b06a75adf8d9 | 1,541 | py | Python | stdlib/time_qs.py | bpuderer/python-snippets27 | 8d51ff34c48bee1247575536d8ed506eafde8631 | [
"MIT"
] | 3 | 2015-11-20T14:30:53.000Z | 2015-12-19T05:55:19.000Z | stdlib/time_qs.py | bpuderer/python-snippets27 | 8d51ff34c48bee1247575536d8ed506eafde8631 | [
"MIT"
] | null | null | null | stdlib/time_qs.py | bpuderer/python-snippets27 | 8d51ff34c48bee1247575536d8ed506eafde8631 | [
"MIT"
] | 1 | 2016-01-05T20:54:49.000Z | 2016-01-05T20:54:49.000Z | import time
print "snoozing 300 ms...zzzzzzz"
time.sleep(0.3)
# precision is platform dependent but a float is always returned
print "seconds since epoch as a float:", time.time()
# returns string for a tuple/struct_time in format "%a %b %d %H:%M:%S %Y"
# if no arg is provided it uses localtime()
print "current loc... | 39.512821 | 96 | 0.717067 | import time
print "snoozing 300 ms...zzzzzzz"
time.sleep(0.3)
print "seconds since epoch as a float:", time.time()
print "current local time string:", time.asctime()
print "when is epoch?", time.asctime(time.gmtime(0))
print "current local time string:", time.ctime()
print "10 minutes ago from current local t... | false | true |
1c40aaa4ea80053d21168df03ff0c474bffc67b9 | 20,317 | py | Python | cinder/volume/drivers/hitachi/hbsd_fc.py | alexpilotti/cinder-ci-fixes | c0ed2ab8cc6b1197e426cd6c58c3b582624d1cfd | [
"Apache-2.0"
] | null | null | null | cinder/volume/drivers/hitachi/hbsd_fc.py | alexpilotti/cinder-ci-fixes | c0ed2ab8cc6b1197e426cd6c58c3b582624d1cfd | [
"Apache-2.0"
] | null | null | null | cinder/volume/drivers/hitachi/hbsd_fc.py | alexpilotti/cinder-ci-fixes | c0ed2ab8cc6b1197e426cd6c58c3b582624d1cfd | [
"Apache-2.0"
] | null | null | null | # Copyright (C) 2014, 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... | 38.18985 | 79 | 0.592361 |
import os
import threading
from oslo_config import cfg
from oslo_log import log as logging
from oslo_utils import excutils
import six
from cinder import exception
from cinder.i18n import _LW
from cinder import utils
import cinder.volume.driver
from cinder.volume.drivers.hitachi import hbsd_basiclib as b... | true | true |
1c40ab0516aea0f0690c56eb78806e7e66a6259f | 1,098 | py | Python | sdk/python/pulumi_azure_native/dbforpostgresql/v20200214preview/_enums.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | 31 | 2020-09-21T09:41:01.000Z | 2021-02-26T13:21:59.000Z | sdk/python/pulumi_azure_native/dbforpostgresql/v20200214preview/_enums.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | 231 | 2020-09-21T09:38:45.000Z | 2021-03-01T11:16:03.000Z | sdk/python/pulumi_azure_native/dbforpostgresql/v20200214preview/_enums.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | 4 | 2020-09-29T14:14:59.000Z | 2021-02-10T20:38:16.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
from enum import Enum
__all__ = [
'CreateMode',
'HAEnabledEnum',
'ResourceIdentityType',
'ServerVersion',
'SkuTier',
]
class Cre... | 20.333333 | 80 | 0.644809 |
from enum import Enum
__all__ = [
'CreateMode',
'HAEnabledEnum',
'ResourceIdentityType',
'ServerVersion',
'SkuTier',
]
class CreateMode(str, Enum):
DEFAULT = "Default"
POINT_IN_TIME_RESTORE = "PointInTimeRestore"
class HAEnabledEnum(str, Enum):
ENABLED = "Enabled"
DISABLED =... | true | true |
1c40adf6a5577fca192d80e8d7e46f9de991112e | 46,384 | py | Python | hummingbot/strategy/perpetual_market_making/perpetual_market_making.py | BGTCapital/hummingbot | 2c50f50d67cedccf0ef4d8e3f4c8cdce3dc87242 | [
"Apache-2.0"
] | 2 | 2022-03-03T10:00:27.000Z | 2022-03-08T13:57:56.000Z | hummingbot/strategy/perpetual_market_making/perpetual_market_making.py | BGTCapital/hummingbot | 2c50f50d67cedccf0ef4d8e3f4c8cdce3dc87242 | [
"Apache-2.0"
] | 6 | 2022-01-31T15:44:54.000Z | 2022-03-06T04:27:12.000Z | hummingbot/strategy/perpetual_market_making/perpetual_market_making.py | BGTCapital/hummingbot | 2c50f50d67cedccf0ef4d8e3f4c8cdce3dc87242 | [
"Apache-2.0"
] | 1 | 2022-02-03T19:51:26.000Z | 2022-02-03T19:51:26.000Z | import logging
import time
from decimal import Decimal
from itertools import chain
from math import ceil, floor
from typing import Dict, List
import numpy as np
import pandas as pd
from hummingbot.connector.derivative.position import Position
from hummingbot.connector.exchange_base import ExchangeBase
from hummingbot... | 46.570281 | 144 | 0.623491 | import logging
import time
from decimal import Decimal
from itertools import chain
from math import ceil, floor
from typing import Dict, List
import numpy as np
import pandas as pd
from hummingbot.connector.derivative.position import Position
from hummingbot.connector.exchange_base import ExchangeBase
from hummingbot... | true | true |
1c40aeff2a010938c435dea825268ce34f9171c9 | 3,317 | py | Python | tensorflow_datasets/scripts/documentation/document_datasets_test.py | harsh020/datasets | b4ad3617b279ec65356e696c4c860458621976f6 | [
"Apache-2.0"
] | 1 | 2020-12-10T06:37:27.000Z | 2020-12-10T06:37:27.000Z | tensorflow_datasets/scripts/documentation/document_datasets_test.py | Jinwook-shim/datasets | 815037e87150e3c8a557d91a68b07e8ffb6a2a86 | [
"Apache-2.0"
] | null | null | null | tensorflow_datasets/scripts/documentation/document_datasets_test.py | Jinwook-shim/datasets | 815037e87150e3c8a557d91a68b07e8ffb6a2a86 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2020 The TensorFlow Datasets Authors.
#
# 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 appl... | 34.915789 | 104 | 0.737112 |
import functools
import pytest
import tensorflow_datasets as tfds
from tensorflow_datasets.scripts.documentation import doc_utils
from tensorflow_datasets.scripts.documentation import document_datasets
class DummyDatasetConfigs(tfds.testing.DummyDataset):
MANUAL_DOWNLOAD_INSTRUCTIONS = """Some man... | true | true |
1c40af161c7b42ead2f0f09971dbedcc1442595c | 6,044 | py | Python | pysnmp-with-texts/Chromatis-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/Chromatis-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/Chromatis-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module Chromatis-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/Chromatis-MIB
# Produced by pysmi-0.3.4 at Wed May 1 12:34:31 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 201... | 97.483871 | 1,308 | 0.741727 |
Integer, OctetString, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueSizeConstraint, ValueRangeConstraint, ConstraintsUnion, SingleValueConstraint, ConstraintsIntersection = mibBuild... | true | true |
1c40afb51f9b020b46acfa7b2254c38faade74bb | 660 | py | Python | app/src/short_urls/tasks.py | gustavodsf/blue-code-be-test | 26b14639ab12fdccb840b8cdaf2f4386ec965bc6 | [
"Apache-2.0"
] | 1 | 2022-02-10T01:57:31.000Z | 2022-02-10T01:57:31.000Z | app/src/short_urls/tasks.py | gustavodsf/blue-code-be-test | 26b14639ab12fdccb840b8cdaf2f4386ec965bc6 | [
"Apache-2.0"
] | null | null | null | app/src/short_urls/tasks.py | gustavodsf/blue-code-be-test | 26b14639ab12fdccb840b8cdaf2f4386ec965bc6 | [
"Apache-2.0"
] | null | null | null | import time
import sqlite3
import requests
from bs4 import BeautifulSoup
def threaded_task(shorterObj):
title = get_title_from_page(shorterObj.original_url)
add_title_to_database(shorterObj.id, title)
def add_title_to_database(id, title):
con = sqlite3.connect('app/src/core/flask_boilerplate_main.db')
cur... | 27.5 | 101 | 0.719697 | import time
import sqlite3
import requests
from bs4 import BeautifulSoup
def threaded_task(shorterObj):
title = get_title_from_page(shorterObj.original_url)
add_title_to_database(shorterObj.id, title)
def add_title_to_database(id, title):
con = sqlite3.connect('app/src/core/flask_boilerplate_main.db')
cur... | true | true |
1c40afca3bc43ba6bb32c9ef1a343d7db2bc9737 | 4,390 | py | Python | contrib/seeds/generate-seeds.py | genteshare-project/genteshare | b1407e7977c52bac52326cec9c7243877d0b273d | [
"MIT"
] | 3 | 2018-05-04T01:33:30.000Z | 2018-08-08T14:54:21.000Z | contrib/seeds/generate-seeds.py | genteshare-project/genteshare | b1407e7977c52bac52326cec9c7243877d0b273d | [
"MIT"
] | null | null | null | contrib/seeds/generate-seeds.py | genteshare-project/genteshare | b1407e7977c52bac52326cec9c7243877d0b273d | [
"MIT"
] | 1 | 2019-08-18T00:42:19.000Z | 2019-08-18T00:42:19.000Z | #!/usr/bin/python
# Copyright (c) 2014 Wladimir J. van der Laan
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
'''
Script to generate list of seed nodes for chainparams.cpp.
This script expects two text files in the directory tha... | 31.582734 | 98 | 0.583599 |
from __future__ import print_function, division
from base64 import b32decode
from binascii import a2b_hex
import sys, os
import re
pchIPv4 = bytearray([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0xff, 0xff])
pchOnionCat = bytearray([0xFD,0x87,0xD8,0x7E,0xEB,0x43])
def name_to_ipv6(addr):
if len(addr)>6 and addr.endswith... | true | true |
1c40b03a78b4dd52d0c701603722180fc0d2466c | 568 | py | Python | esphomeflasher/const.py | mozzwald/esphome-flasher | 419b180845352cce92b94766c8af777d0ddf9d0b | [
"MIT"
] | null | null | null | esphomeflasher/const.py | mozzwald/esphome-flasher | 419b180845352cce92b94766c8af777d0ddf9d0b | [
"MIT"
] | null | null | null | esphomeflasher/const.py | mozzwald/esphome-flasher | 419b180845352cce92b94766c8af777d0ddf9d0b | [
"MIT"
] | 1 | 2020-07-05T13:40:52.000Z | 2020-07-05T13:40:52.000Z | import re
__version__ = "1.2.0"
ESP32_DEFAULT_BOOTLOADER_FORMAT = 'https://fujinet.online/firmware/bootloader.bin'
ESP32_DEFAULT_OTA_DATA = 'https://fujinet.online/firmware/boot_app0.bin'
ESP32_DEFAULT_PARTITIONS = 'https://fujinet.online/firmware/partitions.bin'
ESP32_DEFAULT_FIRMWARE = 'https://fujinet.online/firmw... | 43.692308 | 114 | 0.732394 | import re
__version__ = "1.2.0"
ESP32_DEFAULT_BOOTLOADER_FORMAT = 'https://fujinet.online/firmware/bootloader.bin'
ESP32_DEFAULT_OTA_DATA = 'https://fujinet.online/firmware/boot_app0.bin'
ESP32_DEFAULT_PARTITIONS = 'https://fujinet.online/firmware/partitions.bin'
ESP32_DEFAULT_FIRMWARE = 'https://fujinet.online/firmw... | true | true |
1c40b043448434c4bb46287fef9905573f19eb92 | 13,765 | py | Python | mycroft/enclosure/api.py | chrisveilleux/mycroft-core | 32557365daf69d6a5a3cb6fcf3d748abe58b6261 | [
"Apache-2.0"
] | 1 | 2020-09-03T22:33:42.000Z | 2020-09-03T22:33:42.000Z | mycroft/enclosure/api.py | xeddmc/mycroft-core | d6cbccc0cbfbf6b540830aab4c15a32adf67b9bf | [
"Apache-2.0"
] | 2 | 2021-09-08T01:43:29.000Z | 2022-01-13T02:20:19.000Z | mycroft/enclosure/api.py | felipehmsilveira/mycroft-ai | 8b1997e9444d0d672eded29de63bee54c7933b08 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Mycroft AI Inc.
#
# 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 agreed to in writin... | 42.094801 | 79 | 0.532655 |
from .display_manager import DisplayManager
from mycroft.messagebus.message import Message
class EnclosureAPI:
def __init__(self, bus, name=""):
self.bus = bus
self.name = name
self.display_manager = DisplayManager(self.name)
def register(self, skill_name=""):
... | true | true |
1c40b10981b4e2f7eb853180abe5bc8bdf77cde1 | 416 | py | Python | Project Πολυδιάστατες Δομές Δεδομένων/KD_Tree/rebalance.py | DimosthenisMich/UndergraduateCeidProjects | 9f99f2c44e41d06020f3a5e9aacc0cd4357ee833 | [
"MIT"
] | 6 | 2021-02-10T18:31:22.000Z | 2022-03-03T17:49:30.000Z | Project Πολυδιάστατες Δομές Δεδομένων/KD_Tree/rebalance.py | DimosthenisMich/UndergraduateCeidProjects | 9f99f2c44e41d06020f3a5e9aacc0cd4357ee833 | [
"MIT"
] | 1 | 2020-09-30T19:16:39.000Z | 2020-09-30T19:16:39.000Z | Project Πολυδιάστατες Δομές Δεδομένων/KD_Tree/rebalance.py | DimitrisKostorrizos/UndergraduateCeidProjects | 9f99f2c44e41d06020f3a5e9aacc0cd4357ee833 | [
"MIT"
] | 5 | 2021-11-24T21:34:15.000Z | 2022-01-23T22:37:35.000Z | import medianBuild
rebuildPoints = []
dimensions = 2
def gatherTreeNodes(node):
if node is None:
return False
rebuildPoints.append(node.node)
return gatherTreeNodes(node.leftChild), gatherTreeNodes(node.rightChild)
def balanceKdTree(node):
gatherTreeNodes(node) # Gather all the nodes of th... | 23.111111 | 76 | 0.733173 | import medianBuild
rebuildPoints = []
dimensions = 2
def gatherTreeNodes(node):
if node is None:
return False
rebuildPoints.append(node.node)
return gatherTreeNodes(node.leftChild), gatherTreeNodes(node.rightChild)
def balanceKdTree(node):
gatherTreeNodes(node)
root = medianBuild.kdTr... | true | true |
1c40b10c25701cd181b5ae1f090d71667f6b3c12 | 9,289 | py | Python | f5_cccl/service/test/test_service_manager.py | f5yacobucci/f5-cccl | 64e7fa0a6d4ead9b5209b5b46bf4ed1b6cef036a | [
"Apache-2.0"
] | null | null | null | f5_cccl/service/test/test_service_manager.py | f5yacobucci/f5-cccl | 64e7fa0a6d4ead9b5209b5b46bf4ed1b6cef036a | [
"Apache-2.0"
] | null | null | null | f5_cccl/service/test/test_service_manager.py | f5yacobucci/f5-cccl | 64e7fa0a6d4ead9b5209b5b46bf4ed1b6cef036a | [
"Apache-2.0"
] | 1 | 2019-11-02T05:22:48.000Z | 2019-11-02T05:22:48.000Z | #!/usr/bin/env python
# Copyright 2017 F5 Networks Inc.
#
# 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... | 37.156 | 76 | 0.668533 |
import json
import pickle
import pytest
from f5_cccl.test.conftest import bigip_proxy
from f5_cccl.resource.ltm.app_service import ApplicationService
from f5_cccl.resource.ltm.virtual import VirtualServer
from f5_cccl.resource.ltm.pool import Pool
from f5_cccl.resource.ltm.monitor.http_monitor impor... | true | true |
1c40b187ffe264ce102883fdd6f745650f5432a9 | 549 | py | Python | tests/functional_tests/to_constant_tests/test_definition.py | lycantropos/lz | 632baaffc1c62cd644f6e67f0bcd7971ae6580da | [
"MIT"
] | 7 | 2019-05-26T15:30:03.000Z | 2022-03-07T16:00:31.000Z | tests/functional_tests/to_constant_tests/test_definition.py | lycantropos/lz | 632baaffc1c62cd644f6e67f0bcd7971ae6580da | [
"MIT"
] | 29 | 2018-11-12T11:45:56.000Z | 2021-05-04T17:24:45.000Z | tests/functional_tests/to_constant_tests/test_definition.py | lycantropos/lz | 632baaffc1c62cd644f6e67f0bcd7971ae6580da | [
"MIT"
] | null | null | null | from typing import (Any,
Dict,
Tuple)
from hypothesis import given
from lz.functional import to_constant
from tests import strategies
@given(strategies.scalars,
strategies.positionals_arguments,
strategies.keywords_arguments)
def test_basic(object_: Any,
... | 24.954545 | 65 | 0.672131 | from typing import (Any,
Dict,
Tuple)
from hypothesis import given
from lz.functional import to_constant
from tests import strategies
@given(strategies.scalars,
strategies.positionals_arguments,
strategies.keywords_arguments)
def test_basic(object_: Any,
... | true | true |
1c40b19329458681621f933a54d265735457c0f6 | 863 | py | Python | metecho/api/management/commands/tests/truncate_data.py | VaccineCloud/Metecho-Vax | 48762a2b5bb53d0d5633d1871e4f1451f5e3e91c | [
"BSD-3-Clause"
] | 1 | 2021-12-09T20:39:01.000Z | 2021-12-09T20:39:01.000Z | metecho/api/management/commands/tests/truncate_data.py | VaccineCloud/Metecho-Vax | 48762a2b5bb53d0d5633d1871e4f1451f5e3e91c | [
"BSD-3-Clause"
] | 1,613 | 2020-03-26T16:39:57.000Z | 2022-03-07T14:54:16.000Z | metecho/api/management/commands/tests/truncate_data.py | VaccineCloud/Metecho-Vax | 48762a2b5bb53d0d5633d1871e4f1451f5e3e91c | [
"BSD-3-Clause"
] | 2 | 2021-04-09T18:51:10.000Z | 2022-01-04T20:32:48.000Z | import pytest
from django.core.management import call_command
from ....models import Epic, Project, ProjectSlug, Task
@pytest.mark.django_db
def test_truncate_data(project_factory, epic_factory, task_factory):
project_factory(repo_owner="test", repo_name="repo")
project_factory(repo_owner="test", repo_name="... | 31.962963 | 68 | 0.735805 | import pytest
from django.core.management import call_command
from ....models import Epic, Project, ProjectSlug, Task
@pytest.mark.django_db
def test_truncate_data(project_factory, epic_factory, task_factory):
project_factory(repo_owner="test", repo_name="repo")
project_factory(repo_owner="test", repo_name="... | true | true |
1c40b1a24e52abaf9b0af9bee3f8f61e57faf9fb | 965 | py | Python | setup.py | kaniak274/pytest_django_dotenv | fb79ccd0ea2228ebdfeddca942fb2827cd5ebdc8 | [
"MIT"
] | 1 | 2021-02-16T09:21:20.000Z | 2021-02-16T09:21:20.000Z | setup.py | kaniak274/pytest_django_dotenv | fb79ccd0ea2228ebdfeddca942fb2827cd5ebdc8 | [
"MIT"
] | null | null | null | setup.py | kaniak274/pytest_django_dotenv | fb79ccd0ea2228ebdfeddca942fb2827cd5ebdc8 | [
"MIT"
] | null | null | null | from setuptools import setup
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='pytest-django-dotenv',
version='0.1.2',
author='Kamil Kucharski',
author_email... | 33.275862 | 87 | 0.687047 | from setuptools import setup
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='pytest-django-dotenv',
version='0.1.2',
author='Kamil Kucharski',
author_email... | true | true |
1c40b28275563c9bcc37a95e98c3c5e5403a8490 | 3,226 | py | Python | src/express-route-cross-connection/azext_expressroutecrossconnection/vendored_sdks/v2018_04_01/models/hub_virtual_network_connection.py | Mannan2812/azure-cli-extensions | e2b34efe23795f6db9c59100534a40f0813c3d95 | [
"MIT"
] | 207 | 2017-11-29T06:59:41.000Z | 2022-03-31T10:00:53.000Z | src/express-route-cross-connection/azext_expressroutecrossconnection/vendored_sdks/v2018_04_01/models/hub_virtual_network_connection.py | Mannan2812/azure-cli-extensions | e2b34efe23795f6db9c59100534a40f0813c3d95 | [
"MIT"
] | 4,061 | 2017-10-27T23:19:56.000Z | 2022-03-31T23:18:30.000Z | src/express-route-cross-connection/azext_expressroutecrossconnection/vendored_sdks/v2018_04_01/models/hub_virtual_network_connection.py | Mannan2812/azure-cli-extensions | e2b34efe23795f6db9c59100534a40f0813c3d95 | [
"MIT"
] | 802 | 2017-10-11T17:36:26.000Z | 2022-03-31T22:24:32.000Z | # 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 ... | 43.013333 | 128 | 0.657161 |
from .resource import Resource
class HubVirtualNetworkConnection(Resource):
_validation = {
'name': {'readonly': True},
'type': {'readonly': True},
'etag': {'readonly': True},
}
_attribute_map = {
'id': {'key': 'id', 'type': 'str'},
'name': {'key': 'nam... | true | true |
1c40b2b1cacdd7a0bd6c256ff4ba3c37fa555251 | 618 | py | Python | var/spack/repos/builtin/packages/py-portalocker/package.py | player1537-forks/spack | 822b7632222ec5a91dc7b7cda5fc0e08715bd47c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 11 | 2015-10-04T02:17:46.000Z | 2018-02-07T18:23:00.000Z | var/spack/repos/builtin/packages/py-portalocker/package.py | player1537-forks/spack | 822b7632222ec5a91dc7b7cda5fc0e08715bd47c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 22 | 2017-08-01T22:45:10.000Z | 2022-03-10T07:46:31.000Z | var/spack/repos/builtin/packages/py-portalocker/package.py | player1537-forks/spack | 822b7632222ec5a91dc7b7cda5fc0e08715bd47c | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 4 | 2016-06-10T17:57:39.000Z | 2018-09-11T04:59:38.000Z | # Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyPortalocker(PythonPackage):
"""Portalocker is a library to provide an easy API to file
... | 32.526316 | 95 | 0.734628 |
from spack import *
class PyPortalocker(PythonPackage):
homepage = "https://github.com/WoLpH/portalocker"
url = "https://github.com/WoLpH/portalocker/archive/v1.6.0.tar.gz"
version('1.6.0', sha256='084ff315ccb9fb38a7c06155d409da5df29647da7c6d2bc2b24637f9f79001ff')
depends_on('py-setuptool... | true | true |
1c40b4cc87f97cf71ca30d992fb54a0db8b1047d | 1,095 | py | Python | wildlifecompliance/migrations/0561_wildcarespeciestype.py | mintcoding/wildlifecompliance | 28f5bb4ce3116fb62d836a39612c72a052e54ae1 | [
"Apache-2.0"
] | null | null | null | wildlifecompliance/migrations/0561_wildcarespeciestype.py | mintcoding/wildlifecompliance | 28f5bb4ce3116fb62d836a39612c72a052e54ae1 | [
"Apache-2.0"
] | 3 | 2020-03-12T00:45:31.000Z | 2022-03-02T10:37:23.000Z | wildlifecompliance/migrations/0561_wildcarespeciestype.py | mintcoding/wildlifecompliance | 28f5bb4ce3116fb62d836a39612c72a052e54ae1 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.29 on 2021-11-25 02:33
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('wildlifecompliance', '0560_callemail_baby_kangaroo'),
... | 36.5 | 186 | 0.6 |
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('wildlifecompliance', '0560_callemail_baby_kangaroo'),
]
operations = [
migrations.CreateModel(
name='... | true | true |
1c40b56d028600725c2cf60e6f97d08757f6e869 | 265 | py | Python | networking/packet_capture.py | ddubson/code-dojo-py | 31a1f6289672c45dc45a49a45ccc1a4326410b4b | [
"MIT"
] | 1 | 2017-03-27T00:21:01.000Z | 2017-03-27T00:21:01.000Z | networking/packet_capture.py | ddubson/code-dojo-py | 31a1f6289672c45dc45a49a45ccc1a4326410b4b | [
"MIT"
] | null | null | null | networking/packet_capture.py | ddubson/code-dojo-py | 31a1f6289672c45dc45a49a45ccc1a4326410b4b | [
"MIT"
] | null | null | null | import pcapy
devs = pcapy.findalldevs()
print(devs)
try:
cap = pcapy.open_live("en0", 65536, 1, 0)
count = 1
while count:
(header, payload) = cap.next()
print(count)
count += 1
except KeyboardInterrupt:
print("Exiting.")
| 15.588235 | 45 | 0.592453 | import pcapy
devs = pcapy.findalldevs()
print(devs)
try:
cap = pcapy.open_live("en0", 65536, 1, 0)
count = 1
while count:
(header, payload) = cap.next()
print(count)
count += 1
except KeyboardInterrupt:
print("Exiting.")
| true | true |
1c40b647a9ebb9057beb8c754620f9cd633a69da | 2,418 | py | Python | uflow/data/dataset_size_test.py | egonrian/google-research | 8177adbe9ca0d7e5a9463b54581fe6dd27be0974 | [
"Apache-2.0"
] | 3 | 2021-01-18T04:46:49.000Z | 2021-03-05T09:21:40.000Z | uflow/data/dataset_size_test.py | Alfaxad/google-research | 2c0043ecd507e75e2df9973a3015daf9253e1467 | [
"Apache-2.0"
] | 25 | 2020-07-25T08:53:09.000Z | 2022-03-12T00:43:02.000Z | uflow/data/dataset_size_test.py | Alfaxad/google-research | 2c0043ecd507e75e2df9973a3015daf9253e1467 | [
"Apache-2.0"
] | 4 | 2021-02-08T10:25:45.000Z | 2021-04-17T14:46:26.000Z | # coding=utf-8
# Copyright 2020 The Google Research Authors.
#
# 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 applicab... | 33.123288 | 79 | 0.707196 |
from absl.testing import absltest
from uflow.data import generic_flow_dataset
from uflow.data import kitti
from uflow.data import sintel
from uflow.data.dataset_locations import dataset_locations
DATASETS_AND_SIZE = {
'sintel-test-clean': 552,
'sintel-test-final': 552,
... | true | true |
1c40b8c8b43cf840740df919cace841d79a604e2 | 2,398 | py | Python | Stereo-Vision-System/farzad/Project/Cameras/StereoCameras.py | tonybeltramelli/Graphics-And-Vision | a1dbeada8e907b119ecce1fe421ae91e64ff3371 | [
"Apache-2.0"
] | 12 | 2017-05-26T12:04:38.000Z | 2021-07-11T04:42:19.000Z | Stereo-Vision-System/farzad/Project/Cameras/StereoCameras.py | tonybeltramelli/Graphics-And-Vision | a1dbeada8e907b119ecce1fe421ae91e64ff3371 | [
"Apache-2.0"
] | null | null | null | Stereo-Vision-System/farzad/Project/Cameras/StereoCameras.py | tonybeltramelli/Graphics-And-Vision | a1dbeada8e907b119ecce1fe421ae91e64ff3371 | [
"Apache-2.0"
] | 4 | 2017-05-09T08:26:44.000Z | 2018-04-23T03:16:01.000Z | #<!--------------------------------------------------------------------------->
#<!-- ITU - IT University of Copenhagen -->
#<!-- SSS - Software and Systems Section -->
#<!-- File : StereoCameras.py -... | 55.767442 | 80 | 0.330275 |
__version__ = '$Revision: 2015040501 $'
| true | true |
1c40b91e04029a84ae33cbabeb5831f5f3e1d38e | 9,216 | py | Python | scripts/ased_search_inversion1_cifar100.py | anton-muravev/ased | 16ddb70ac3e46556cf49569915df0165a6fb7d16 | [
"Apache-2.0"
] | null | null | null | scripts/ased_search_inversion1_cifar100.py | anton-muravev/ased | 16ddb70ac3e46556cf49569915df0165a6fb7d16 | [
"Apache-2.0"
] | null | null | null | scripts/ased_search_inversion1_cifar100.py | anton-muravev/ased | 16ddb70ac3e46556cf49569915df0165a6fb7d16 | [
"Apache-2.0"
] | 1 | 2021-12-06T08:42:59.000Z | 2021-12-06T08:42:59.000Z | # -*- coding: utf-8 -*-
## INVERSION1 EXPERIMENT ON CIFAR100
import utorch
import ased
import ased_util
import sys
import time
import numpy as np
from astore import Astore
from sklearn.model_selection import StratifiedShuffleSplit
import argparse
import torch
import torch.multiprocessing as mp
import torch.nn as nn
i... | 39.384615 | 91 | 0.604601 |
ased_util
import sys
import time
import numpy as np
from astore import Astore
from sklearn.model_selection import StratifiedShuffleSplit
import argparse
import torch
import torch.multiprocessing as mp
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim
import torch.u... | true | true |
1c40b93725b4401b90eeef6d41c467d228a3c3e7 | 21 | py | Python | damCalculator/force/__init__.py | YingnanXuUCB/damCalculator | c2c7d1b57d87033f41e24fad1cececd96ec7c388 | [
"MIT"
] | null | null | null | damCalculator/force/__init__.py | YingnanXuUCB/damCalculator | c2c7d1b57d87033f41e24fad1cececd96ec7c388 | [
"MIT"
] | null | null | null | damCalculator/force/__init__.py | YingnanXuUCB/damCalculator | c2c7d1b57d87033f41e24fad1cececd96ec7c388 | [
"MIT"
] | null | null | null | from .forces import * | 21 | 21 | 0.761905 | from .forces import * | true | true |
1c40b967e9798ce772656204f94ecfee89c38b0e | 2,947 | py | Python | djangosaml2/cache.py | chander/djangosaml2 | edeef7e529769e5f7f99801a6a78c53ea7067198 | [
"Apache-2.0"
] | 5,079 | 2015-01-01T03:39:46.000Z | 2022-03-31T07:38:22.000Z | djangosaml2/cache.py | chander/djangosaml2 | edeef7e529769e5f7f99801a6a78c53ea7067198 | [
"Apache-2.0"
] | 1,623 | 2015-01-01T08:06:24.000Z | 2022-03-30T19:48:52.000Z | djangosaml2/cache.py | chander/djangosaml2 | edeef7e529769e5f7f99801a6a78c53ea7067198 | [
"Apache-2.0"
] | 2,033 | 2015-01-04T07:18:02.000Z | 2022-03-28T19:55:47.000Z | # Copyright (C) 2011-2012 Yaco Sistemas (http://www.yaco.es)
# Copyright (C) 2010 Lorenzo Gil Sanchez <lorenzo.gil.sanchez@gmail.com>
#
# 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
#
# ... | 32.744444 | 93 | 0.695283 |
from saml2.cache import Cache
class DjangoSessionCacheAdapter(dict):
key_prefix = '_saml2'
def __init__(self, django_session, key_suffix):
self.session = django_session
self.key = self.key_prefix + key_suffix
super(DjangoSessionCacheAdapter, self).__init__(self._get_o... | true | true |
1c40b99599236f6163dc5f14cd48f334f09c239c | 1,891 | py | Python | tutorials/tunable_xception_cifar10/tunable_xception_cifar10.py | Gonaz/keras-tuner | f8264811d4744abb4f0fdab480e8a4e6ddf91c4e | [
"Apache-2.0"
] | 1 | 2020-11-08T17:04:21.000Z | 2020-11-08T17:04:21.000Z | tutorials/tunable_xception_cifar10/tunable_xception_cifar10.py | Gonaz/keras-tuner | f8264811d4744abb4f0fdab480e8a4e6ddf91c4e | [
"Apache-2.0"
] | null | null | null | tutorials/tunable_xception_cifar10/tunable_xception_cifar10.py | Gonaz/keras-tuner | f8264811d4744abb4f0fdab480e8a4e6ddf91c4e | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The Keras Tuner Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 32.603448 | 74 | 0.773665 |
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.datasets import cifar10
from kerastuner.applications import HyperXception
from kerastuner import RandomSearch
NUM_CLASSES = 10
(x_train, y_train), (x_test, y_test) = cifar10.load_data()
y_train = to_categorical(y_train, NUM_CLASSES... | true | true |
1c40b9c3406064309f1ba271b8940f616aec18fa | 1,936 | py | Python | scripts/pipeline_main.py | rnk/llvm-premerge-checks | 859df4066fc06d9151e22530fce3309174cb5470 | [
"Apache-2.0"
] | null | null | null | scripts/pipeline_main.py | rnk/llvm-premerge-checks | 859df4066fc06d9151e22530fce3309174cb5470 | [
"Apache-2.0"
] | null | null | null | scripts/pipeline_main.py | rnk/llvm-premerge-checks | 859df4066fc06d9151e22530fce3309174cb5470 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Copyright 2020 Google LLC
#
# Licensed under the the Apache License v2.0 with LLVM Exceptions (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://llvm.org/LICENSE.txt
#
# Unless required by applicable law ... | 39.510204 | 120 | 0.722107 |
import os
from steps import generic_linux, generic_windows, from_shell_output
import yaml
steps_generators = [
'${BUILDKITE_BUILD_CHECKOUT_PATH}/libcxx/utils/ci/buildkite-pipeline-snapshot.sh',
]
if __name__ == '__main__':
scripts_refspec = os.getenv("ph_scripts_refspec", "main")
no_cache ... | true | true |
1c40b9fa431618695234cae3495c1fe3816040dd | 7,589 | py | Python | losantrest/instance_member.py | Losant/losant-rest-python | 50a6ce13dfef7acefb930fe45893c7bae862f784 | [
"MIT"
] | 5 | 2016-06-16T20:18:11.000Z | 2022-03-09T11:41:59.000Z | losantrest/instance_member.py | Losant/losant-rest-python | 50a6ce13dfef7acefb930fe45893c7bae862f784 | [
"MIT"
] | 4 | 2021-07-13T06:09:16.000Z | 2022-03-07T14:24:49.000Z | losantrest/instance_member.py | Losant/losant-rest-python | 50a6ce13dfef7acefb930fe45893c7bae862f784 | [
"MIT"
] | 6 | 2016-11-18T03:19:17.000Z | 2022-03-09T11:41:47.000Z | """
The MIT License (MIT)
Copyright (c) 2021 Losant IoT, Inc.
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, me... | 41.244565 | 119 | 0.646594 |
import json
class InstanceMember(object):
def __init__(self, client):
self.client = client
def delete(self, **kwargs):
query_params = {"_actions": "false", "_links": "true", "_embedded": "true"}
path_params = {}
headers = {}
body = None
if "instanceId" in... | true | true |
1c40ba4a9a02a64d3a26fef8c84e71080aba1669 | 3,894 | py | Python | similarity/eval_iter.py | jtraviesor/alfred-tf-trainer | 9747d24bef418415a31abfe0c9982d2f1d9d8298 | [
"MIT"
] | 3 | 2017-11-18T11:41:46.000Z | 2020-02-13T19:22:28.000Z | similarity/eval_iter.py | jtraviesor/alfred-tf-trainer | 9747d24bef418415a31abfe0c9982d2f1d9d8298 | [
"MIT"
] | 4 | 2017-09-01T05:28:49.000Z | 2017-11-20T05:27:49.000Z | similarity/eval_iter.py | jtraviesor/alfred-tf-trainer | 9747d24bef418415a31abfe0c9982d2f1d9d8298 | [
"MIT"
] | 1 | 2018-06-08T03:55:32.000Z | 2018-06-08T03:55:32.000Z | #! /usr/bin/env python
import tensorflow as tf
import numpy as np
from input_helpers import InputHelper
from time import sleep
# Parameters
# ==================================================
run_id = 'runs/1503723018'
model_file = run_id + "/checkpoints/model-72000"
# Eval Parameters
tf.flags.DEFINE_integer("batch... | 40.14433 | 120 | 0.638418 |
import tensorflow as tf
import numpy as np
from input_helpers import InputHelper
from time import sleep
run_id = 'runs/1503723018'
model_file = run_id + "/checkpoints/model-72000"
tf.flags.DEFINE_integer("batch_size", 64, "Batch Size (default: 64)")
tf.flags.DEFINE_string("checkpoint_dir", "", "Checkpoint direct... | true | true |
1c40bb05eba11a640cfaf481908902a09ba25371 | 4,534 | py | Python | tests/unit_tests/test_core/test_pin_node.py | henzh/piniverse | 77dce494cefc9e8051bb32298a5b32e2397c1634 | [
"MIT"
] | null | null | null | tests/unit_tests/test_core/test_pin_node.py | henzh/piniverse | 77dce494cefc9e8051bb32298a5b32e2397c1634 | [
"MIT"
] | 1 | 2019-11-11T00:25:44.000Z | 2019-11-11T00:25:44.000Z | tests/unit_tests/test_core/test_pin_node.py | henzh/piniverse | 77dce494cefc9e8051bb32298a5b32e2397c1634 | [
"MIT"
] | null | null | null | # The MIT License (MIT)
#
# Copyright (c) 2019 Henry Zhao
#
# 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... | 42.373832 | 113 | 0.671592 |
import pytest
import inspect
from piniverse.core.pin_node import PinNode, PinGraph
from piniverse.common.exceptions.pin_exception import PinException
from tests.unit_tests.test_core.my_package.my_file import foo, another_foo
def test_pin_node():
pin_node_1 = PinNode('1', '2', arguments={'ar... | true | true |
1c40bb46c037ce1e6e7e93b3825f8451e5627eab | 7,024 | py | Python | examples/pwr_run/checkpointing/nonpc_short/knn/job12.py | boringlee24/keras_old | 1e1176c45c4952ba1b9b9e58e9cc4df027ab111d | [
"MIT"
] | null | null | null | examples/pwr_run/checkpointing/nonpc_short/knn/job12.py | boringlee24/keras_old | 1e1176c45c4952ba1b9b9e58e9cc4df027ab111d | [
"MIT"
] | null | null | null | examples/pwr_run/checkpointing/nonpc_short/knn/job12.py | boringlee24/keras_old | 1e1176c45c4952ba1b9b9e58e9cc4df027ab111d | [
"MIT"
] | null | null | null | """
#Trains a ResNet on the CIFAR10 dataset.
"""
from __future__ import print_function
import keras
from keras.layers import Dense, Conv2D, BatchNormalization, Activation
from keras.layers import AveragePooling2D, Input, Flatten
from keras.optimizers import Adam
from keras.callbacks import ModelCheckpoint, LearningRa... | 31.217778 | 118 | 0.703303 |
from __future__ import print_function
import keras
from keras.layers import Dense, Conv2D, BatchNormalization, Activation
from keras.layers import AveragePooling2D, Input, Flatten
from keras.optimizers import Adam
from keras.callbacks import ModelCheckpoint, LearningRateScheduler
from keras.callbacks import ReduceLROn... | true | true |
1c40bbef9d0c743ca08be761b688558d1d2052cb | 294 | py | Python | zadanie5.py | djdanto/Python100 | 524188233a966b12cf6bdfb9c14cf6bf25bf5205 | [
"MIT"
] | null | null | null | zadanie5.py | djdanto/Python100 | 524188233a966b12cf6bdfb9c14cf6bf25bf5205 | [
"MIT"
] | null | null | null | zadanie5.py | djdanto/Python100 | 524188233a966b12cf6bdfb9c14cf6bf25bf5205 | [
"MIT"
] | null | null | null |
celsiusz = float(input('Wprowadz temeperature w stopniach celsiusza: '))
fahrenheit = (celsiusz * 1.8) + 32
print('%0.1f Celsiusz = %0.1f Fahrenheit'%(celsiusz,fahrenheit))
kw = float(input('Wprowadz ilość koni mechanicznych: '))
kM = (kw * 1,36)
print(' kw = kM'%(kw,kM)) | 26.727273 | 74 | 0.639456 |
celsiusz = float(input('Wprowadz temeperature w stopniach celsiusza: '))
fahrenheit = (celsiusz * 1.8) + 32
print('%0.1f Celsiusz = %0.1f Fahrenheit'%(celsiusz,fahrenheit))
kw = float(input('Wprowadz ilość koni mechanicznych: '))
kM = (kw * 1,36)
print(' kw = kM'%(kw,kM)) | true | true |
1c40bcbda0e67afd5b32077d733c0afca144bac1 | 6,871 | py | Python | pytorch_lightning/accelerators/ddp2_backend.py | willprice/pytorch-lightning | 94bba4059ce3dc13799d0fd59592f3bcfbbf19c4 | [
"Apache-2.0"
] | null | null | null | pytorch_lightning/accelerators/ddp2_backend.py | willprice/pytorch-lightning | 94bba4059ce3dc13799d0fd59592f3bcfbbf19c4 | [
"Apache-2.0"
] | null | null | null | pytorch_lightning/accelerators/ddp2_backend.py | willprice/pytorch-lightning | 94bba4059ce3dc13799d0fd59592f3bcfbbf19c4 | [
"Apache-2.0"
] | null | null | null | # Copyright The PyTorch Lightning team.
#
# 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 agreed to i... | 34.70202 | 116 | 0.666715 |
import os
import torch
from pytorch_lightning import _logger as log
from pytorch_lightning.utilities import AMPType
from pytorch_lightning.utilities.distributed import rank_zero_only
from pytorch_lightning.utilities.exceptions import MisconfigurationException
from pytorch_lightning.core.step_result impo... | true | true |
1c40bcbdb7fedbbc9fe9758b4d3e9afb831d15ce | 279 | py | Python | tests/bkprecision_test.py | mrkmedvedev/python-bkprecision2831e | 01961db620d9c26650b655ff6ba70b82da57c7d9 | [
"Apache-2.0"
] | 2 | 2017-03-06T07:46:28.000Z | 2021-04-07T23:30:37.000Z | tests/bkprecision_test.py | mrkmedvedev/python-bkprecision2831e | 01961db620d9c26650b655ff6ba70b82da57c7d9 | [
"Apache-2.0"
] | null | null | null | tests/bkprecision_test.py | mrkmedvedev/python-bkprecision2831e | 01961db620d9c26650b655ff6ba70b82da57c7d9 | [
"Apache-2.0"
] | 1 | 2018-10-08T20:54:31.000Z | 2018-10-08T20:54:31.000Z | from bkprecision.bkprecision import BKPrecisionMultimeter
import time
mult = BKPrecisionMultimeter(serial_port='COM10')
mult.configure_connection()
try:
while True:
print mult.measure()
time.sleep(0.1)
except KeyboardInterrupt:
mult.close_connection()
| 19.928571 | 57 | 0.752688 | from bkprecision.bkprecision import BKPrecisionMultimeter
import time
mult = BKPrecisionMultimeter(serial_port='COM10')
mult.configure_connection()
try:
while True:
print mult.measure()
time.sleep(0.1)
except KeyboardInterrupt:
mult.close_connection()
| false | true |
1c40bd1f8437ddf4868c4190e8316bf496f69d27 | 520 | py | Python | src/flaskFormRequest/validators/float.py | edcilo/flaskFormRequest | 5d346ab8821bdc6653dab9607f8a5d3d992b59d9 | [
"MIT"
] | null | null | null | src/flaskFormRequest/validators/float.py | edcilo/flaskFormRequest | 5d346ab8821bdc6653dab9607f8a5d3d992b59d9 | [
"MIT"
] | null | null | null | src/flaskFormRequest/validators/float.py | edcilo/flaskFormRequest | 5d346ab8821bdc6653dab9607f8a5d3d992b59d9 | [
"MIT"
] | null | null | null | from typing import Union
from .validator import Validator, ValidationError, StopValidation
class Float(Validator):
def __init__(self, message: Union[str, None] = None, parse: bool = True) -> None:
self.parse = parse
self.message = message or 'This field must be an float number.'
def parse_dat... | 28.888889 | 85 | 0.648077 | from typing import Union
from .validator import Validator, ValidationError, StopValidation
class Float(Validator):
def __init__(self, message: Union[str, None] = None, parse: bool = True) -> None:
self.parse = parse
self.message = message or 'This field must be an float number.'
def parse_dat... | true | true |
1c40be8ea064575dc414f4074b3d5a872bc46e73 | 243 | py | Python | chainer_mask_rcnn/functions/__init__.py | m3at/chainer-mask-rcnn | fa491663675cdc97974008becc99454d5e6e1d09 | [
"MIT"
] | 61 | 2018-04-04T07:09:32.000Z | 2021-11-12T19:54:23.000Z | chainer_mask_rcnn/functions/__init__.py | Swall0w/chainer-mask-rcnn | 83366fc77e52aa6a29cfac4caa697d8b45dcffc6 | [
"MIT"
] | 15 | 2018-04-10T10:48:47.000Z | 2021-05-20T10:00:42.000Z | chainer_mask_rcnn/functions/__init__.py | Swall0w/chainer-mask-rcnn | 83366fc77e52aa6a29cfac4caa697d8b45dcffc6 | [
"MIT"
] | 18 | 2018-07-06T10:13:56.000Z | 2022-03-02T12:25:31.000Z | # flake8: noqa
from .affine_channel_2d import affine_channel_2d
from .affine_channel_2d import AffineChannel2DFunction
from .crop_and_resize import crop_and_resize
from .roi_align_2d import roi_align_2d
from .roi_align_2d import ROIAlign2D
| 24.3 | 54 | 0.864198 |
from .affine_channel_2d import affine_channel_2d
from .affine_channel_2d import AffineChannel2DFunction
from .crop_and_resize import crop_and_resize
from .roi_align_2d import roi_align_2d
from .roi_align_2d import ROIAlign2D
| true | true |
1c40beeed5dbae5ac4bcf3d3ba9bff6de8b12127 | 3,988 | py | Python | examples/ad_manager/v202011/forecast_service/get_traffic_data.py | siilats/googleads-python-lib | d82a9cb75a4b2d602d02039536443f5b30157a43 | [
"Apache-2.0"
] | null | null | null | examples/ad_manager/v202011/forecast_service/get_traffic_data.py | siilats/googleads-python-lib | d82a9cb75a4b2d602d02039536443f5b30157a43 | [
"Apache-2.0"
] | null | null | null | examples/ad_manager/v202011/forecast_service/get_traffic_data.py | siilats/googleads-python-lib | d82a9cb75a4b2d602d02039536443f5b30157a43 | [
"Apache-2.0"
] | 1 | 2021-06-23T09:15:34.000Z | 2021-06-23T09:15:34.000Z | #!/usr/bin/env python
#
# Copyright 2020, Google LLC
#
# 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 ... | 32.16129 | 80 | 0.701354 |
import datetime
from googleads import ad_manager
def main(client):
forecast_service = client.GetService('ForecastService', version='v202011')
network_service = client.GetService('NetworkService', version='v202011')
root_ad_unit_id = network_service.getCurrentNetwork()['effectiveRootAd... | true | true |
1c40bf9d2019a68825eb40f035446d1a2fc35654 | 35,667 | py | Python | tests/translator/test_translator.py | Buffer0x7cd/serverless-application-model | 805cc85bc26cfda16e9611c047e38f78560ad6e6 | [
"Apache-2.0"
] | 2 | 2019-04-13T16:57:10.000Z | 2019-12-13T08:32:16.000Z | tests/translator/test_translator.py | Buffer0x7cd/serverless-application-model | 805cc85bc26cfda16e9611c047e38f78560ad6e6 | [
"Apache-2.0"
] | 3 | 2021-06-08T22:29:43.000Z | 2022-01-13T03:21:16.000Z | tests/translator/test_translator.py | Buffer0x7cd/serverless-application-model | 805cc85bc26cfda16e9611c047e38f78560ad6e6 | [
"Apache-2.0"
] | 1 | 2021-08-05T13:35:20.000Z | 2021-08-05T13:35:20.000Z | import json
import itertools
import os.path
import hashlib
import sys
from functools import reduce, cmp_to_key
from samtranslator.translator.translator import Translator, prepare_plugins, make_policy_template_for_function_plugin
from samtranslator.parser.parser import Parser
from samtranslator.model.exceptions import ... | 40.530682 | 131 | 0.672386 | import json
import itertools
import os.path
import hashlib
import sys
from functools import reduce, cmp_to_key
from samtranslator.translator.translator import Translator, prepare_plugins, make_policy_template_for_function_plugin
from samtranslator.parser.parser import Parser
from samtranslator.model.exceptions import ... | true | true |
1c40c09085b1619ad3fd24e72cfb2121973620e9 | 21,060 | py | Python | pypy/module/micronumpy/ctors.py | wdv4758h/mu-client-pypy | d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | pypy/module/micronumpy/ctors.py | wdv4758h/mu-client-pypy | d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | pypy/module/micronumpy/ctors.py | wdv4758h/mu-client-pypy | d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | from pypy.interpreter.error import OperationError, oefmt
from pypy.interpreter.gateway import unwrap_spec, WrappedDefault
from rpython.rlib.buffer import SubBuffer
from rpython.rlib.rstring import strip_spaces
from rpython.rlib.rawstorage import RAW_STORAGE_PTR
from rpython.rtyper.lltypesystem import lltype, rffi
from... | 41.538462 | 122 | 0.627493 | from pypy.interpreter.error import OperationError, oefmt
from pypy.interpreter.gateway import unwrap_spec, WrappedDefault
from rpython.rlib.buffer import SubBuffer
from rpython.rlib.rstring import strip_spaces
from rpython.rlib.rawstorage import RAW_STORAGE_PTR
from rpython.rtyper.lltypesystem import lltype, rffi
from... | false | true |
1c40c0d4965fe7922c46178338e7efc5b2a3a77c | 7,754 | py | Python | class_nn/embeddings_google.py | jmhernan/NIreland_NLP | c360c4978452e80575db2e0eed9ef540ed83b5c6 | [
"MIT"
] | null | null | null | class_nn/embeddings_google.py | jmhernan/NIreland_NLP | c360c4978452e80575db2e0eed9ef540ed83b5c6 | [
"MIT"
] | null | null | null | class_nn/embeddings_google.py | jmhernan/NIreland_NLP | c360c4978452e80575db2e0eed9ef540ed83b5c6 | [
"MIT"
] | null | null | null | ######################################################
### Builds NN using google embeddings, parameters ###
### Uses: justifications_clean_text_ohe.csv ###
###### Collapses justifications to 6 categories. ###
###### Stems and tokenizes words ###
### Next step: Sarah needs to talk through w ... | 34.7713 | 173 | 0.716404 | true | true | |
1c40c13ce9a777a4ab812a86483389edbb71d4ec | 867 | py | Python | myapp/urls.py | srikar7777/Malicious-Urlv5 | a3a231d60cb6ffc44fdc297bf73683872decd435 | [
"MIT"
] | 33 | 2020-02-16T08:08:36.000Z | 2022-03-31T01:01:45.000Z | myapp/urls.py | Kabeer-Ahmed11/Malicious-Urlv5 | 617b319bfd9a7ed6320abd9e7b90c518064b66cb | [
"MIT"
] | 6 | 2020-02-12T06:24:55.000Z | 2022-02-10T08:21:55.000Z | myapp/urls.py | Kabeer-Ahmed11/Malicious-Urlv5 | 617b319bfd9a7ed6320abd9e7b90c518064b66cb | [
"MIT"
] | 22 | 2020-04-11T07:19:46.000Z | 2022-03-02T16:59:53.000Z | from django.urls import path
from . import views
urlpatterns = [
path('',views.index,name='index'),
path('getuserfeedbackform',views.getuserfeedbackform,name="getuserfeedbackform"),
path('saveuserfeedbackform',views.saveuserfeedbackform,name="saveuserfeedbackform"),
path('api',views.api,name='api'),
... | 39.409091 | 88 | 0.71511 | from django.urls import path
from . import views
urlpatterns = [
path('',views.index,name='index'),
path('getuserfeedbackform',views.getuserfeedbackform,name="getuserfeedbackform"),
path('saveuserfeedbackform',views.saveuserfeedbackform,name="saveuserfeedbackform"),
path('api',views.api,name='api'),
... | true | true |
1c40c470aff28eeaa8d9b1f7fa0b8a20f0302121 | 10,796 | py | Python | gpiozero/pins/local.py | NotBobTheBuilder/gpiozero | aeb9d30056ec97e6bf896152e71a870bd0099b4e | [
"BSD-3-Clause"
] | 1 | 2021-01-27T21:46:52.000Z | 2021-01-27T21:46:52.000Z | gpiozero/pins/local.py | NotBobTheBuilder/gpiozero | aeb9d30056ec97e6bf896152e71a870bd0099b4e | [
"BSD-3-Clause"
] | null | null | null | gpiozero/pins/local.py | NotBobTheBuilder/gpiozero | aeb9d30056ec97e6bf896152e71a870bd0099b4e | [
"BSD-3-Clause"
] | null | null | null | # GPIO Zero: a library for controlling the Raspberry Pi's GPIO pins
# Copyright (c) 2016-2019 Dave Jones <dave@waveform.org.uk>
# Copyright (c) 2019 Andrew Scheller <github@loowis.durge.org>
# Copyright (c) 2018 Martchus <martchus@gmx.net>
#
# Redistribution and use in source and binary forms, with or without
# modific... | 34.602564 | 96 | 0.648388 |
# Copyright (c) 2016-2019 Dave Jones <dave@waveform.org.uk>
# Copyright (c) 2019 Andrew Scheller <github@loowis.durge.org>
# Copyright (c) 2018 Martchus <martchus@gmx.net>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met... | true | true |
1c40c520d6f4c68d536b05f273f32c0e7d73d9c8 | 2,265 | py | Python | hatsploit/modules/exploit/linux/dlink/dcs_credentials_disclosure.py | enty8080/HatSplo | 57ea81c2bc73838cbf7d7062d7e665eda1143d18 | [
"MIT"
] | 139 | 2021-02-17T15:52:30.000Z | 2022-03-30T14:50:42.000Z | hatsploit/modules/exploit/linux/dlink/dcs_credentials_disclosure.py | enty8080/HatSplo | 57ea81c2bc73838cbf7d7062d7e665eda1143d18 | [
"MIT"
] | 27 | 2021-03-24T17:14:30.000Z | 2022-03-02T18:50:43.000Z | hatsploit/modules/exploit/linux/dlink/dcs_credentials_disclosure.py | enty8080/HatSplo | 57ea81c2bc73838cbf7d7062d7e665eda1143d18 | [
"MIT"
] | 85 | 2021-02-17T15:39:03.000Z | 2022-03-07T09:08:58.000Z | #!/usr/bin/env python3
#
# This module requires HatSploit: https://hatsploit.netlify.app
# Current source: https://github.com/EntySec/HatSploit
#
from hatsploit.lib.module import Module
from hatsploit.utils.http import HTTPClient
class HatSploitModule(Module, HTTPClient):
details = {
'Name': "D-Link DCS... | 29.415584 | 106 | 0.568212 |
from hatsploit.lib.module import Module
from hatsploit.utils.http import HTTPClient
class HatSploitModule(Module, HTTPClient):
details = {
'Name': "D-Link DCS Credentials Disclosure",
'Module': "exploit/linux/dlink/dcs_credentials_disclosure",
'Authors': [
'Ivan Nikolsky... | true | true |
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