hexsha stringlengths 40 40 | size int64 1 1.03M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 239 | max_stars_repo_name stringlengths 5 130 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 239 | max_issues_repo_name stringlengths 5 130 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 239 | max_forks_repo_name stringlengths 5 130 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 1 1.03M | avg_line_length float64 1 958k | max_line_length int64 1 1.03M | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7988244c1b8a8dbe7c92fd753ab01d5dd0f9b4bb | 5,227 | py | Python | src/oci/monitoring/models/post_metric_data_details.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/oci/monitoring/models/post_metric_data_details.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | src/oci/monitoring/models/post_metric_data_details.py | LaudateCorpus1/oci-python-sdk | b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
# Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... | 39.300752 | 245 | 0.690645 |
79882465f91ba46b1f014050d9c41023f568d8d8 | 546 | py | Python | viberio/handlers/users/__init__.py | bostud/Viber_bot | 076113433837aab942f86a0f73275c50037ed8f9 | [
"MIT"
] | null | null | null | viberio/handlers/users/__init__.py | bostud/Viber_bot | 076113433837aab942f86a0f73275c50037ed8f9 | [
"MIT"
] | null | null | null | viberio/handlers/users/__init__.py | bostud/Viber_bot | 076113433837aab942f86a0f73275c50037ed8f9 | [
"MIT"
] | null | null | null | from .help import dp
from .debuge import dp
from .users_count import dp
from .send_phone import dp
# from .cach_photo import dp
from .start import dp
from .cancel_button import dp
from .main_menu_uk import dp
from .get_location import dp
from .my_parcels_in import dp
from .my_parcels_out import dp
from .my_parcels_arch... | 26 | 37 | 0.815018 |
79882533b6dd377af4cd86a1cfe1760cfa16392d | 7,035 | py | Python | Code/src/Server.py | blynotes/CS6301_SDN | 7db92b6273222ddce28aaa238678a40fbd435b25 | [
"Apache-2.0"
] | 1 | 2020-02-26T08:33:08.000Z | 2020-02-26T08:33:08.000Z | Code/src/Server.py | blynotes/CS6301_SDN | 7db92b6273222ddce28aaa238678a40fbd435b25 | [
"Apache-2.0"
] | null | null | null | Code/src/Server.py | blynotes/CS6301_SDN | 7db92b6273222ddce28aaa238678a40fbd435b25 | [
"Apache-2.0"
] | 7 | 2019-03-30T03:37:17.000Z | 2022-02-03T20:40:41.000Z | #!/usr/bin/python3
# Copyright 2018 Stephen Blystone, Taniya Riar, Juhi Bhandari, & Ishwank Singh
# 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-... | 51.350365 | 3,158 | 0.763042 |
7988270b761de6ea52f70275755429eabd65671d | 603 | py | Python | prepare/migrations/0009_auto_20210808_1324.py | engelsmann/bedom | eeb7eea5c5e908b8a0c744e36a4f9806105c3eb2 | [
"CC0-1.0"
] | 1 | 2020-10-01T06:40:32.000Z | 2020-10-01T06:40:32.000Z | prepare/migrations/0009_auto_20210808_1324.py | engelsmann/bedom | eeb7eea5c5e908b8a0c744e36a4f9806105c3eb2 | [
"CC0-1.0"
] | 17 | 2020-10-01T11:49:30.000Z | 2022-03-04T16:07:45.000Z | prepare/migrations/0009_auto_20210808_1324.py | engelsmann/bedom | eeb7eea5c5e908b8a0c744e36a4f9806105c3eb2 | [
"CC0-1.0"
] | null | null | null | # Generated by Django 3.2.5 on 2021-08-08 11:24
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('prepare', '0008_auto_20210808_1245'),
]
operations = [
migrations.RemoveField(
model_name='foku... | 25.125 | 125 | 0.615257 |
798827263d852170a1f3eff045410b7f233701a3 | 1,454 | py | Python | P1/p5_blockchain.py | bondxue/Data-Structure-and-Algorithm | 5c8ea309bdef8f6409d82f2391be20f1410d027c | [
"MIT"
] | 1 | 2020-06-22T11:10:22.000Z | 2020-06-22T11:10:22.000Z | P1/p5_blockchain.py | bondxue/Data-Structure-and-Algorithm | 5c8ea309bdef8f6409d82f2391be20f1410d027c | [
"MIT"
] | null | null | null | P1/p5_blockchain.py | bondxue/Data-Structure-and-Algorithm | 5c8ea309bdef8f6409d82f2391be20f1410d027c | [
"MIT"
] | null | null | null | import hashlib
import datetime
class Block:
def __init__(self, timestamp, data, previous_hash):
self.timestamp = timestamp
self.data = data
self.previous_hash = previous_hash
self.hash = self.calc_hash()
self.next = None
def calc_hash(self):
sha = hashlib.sha2... | 21.382353 | 78 | 0.620358 |
79882784160ead1a19b6fbfebc54ccafb6b6982c | 1,576 | py | Python | src/command_modules/vsts-cli-build/setup.py | ds-ms/vsts-cli | 5cb0f452f3256fbeb2e0b6b23ca84b576620db08 | [
"MIT"
] | null | null | null | src/command_modules/vsts-cli-build/setup.py | ds-ms/vsts-cli | 5cb0f452f3256fbeb2e0b6b23ca84b576620db08 | [
"MIT"
] | null | null | null | src/command_modules/vsts-cli-build/setup.py | ds-ms/vsts-cli | 5cb0f452f3256fbeb2e0b6b23ca84b576620db08 | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 30.307692 | 94 | 0.591371 |
798827f32794b40eebd75474cea624105f4dd490 | 1,402 | py | Python | ngsutils/bed/overlap.py | bgruening/ngsutils | 417e90dc1918fb553dd84990f2c54bd8cea8f44d | [
"BSD-3-Clause"
] | 57 | 2015-03-09T01:26:45.000Z | 2022-02-22T07:26:01.000Z | ngsutils/bed/overlap.py | bgruening/ngsutils | 417e90dc1918fb553dd84990f2c54bd8cea8f44d | [
"BSD-3-Clause"
] | 33 | 2015-02-03T23:24:46.000Z | 2022-03-16T20:08:10.000Z | ngsutils/bed/overlap.py | bgruening/ngsutils | 417e90dc1918fb553dd84990f2c54bd8cea8f44d | [
"BSD-3-Clause"
] | 33 | 2015-01-18T16:47:47.000Z | 2022-02-22T07:28:09.000Z | #!/usr/bin/env python
#!/usr/bin/env python
## category General
## desc Find overlapping BED regions from a query and target file
'''
Finds BED regions from the query file that overlap with regions from the target file.
'''
import os
import sys
from ngsutils.bed import BedStreamer, BedFile
def usage():
print __d... | 26.45283 | 121 | 0.616976 |
798829c3d1ff007834accb4d5f5e36348c87519e | 173 | py | Python | preprocessors/preprocessor.py | TheLocust3/FRC-Field-Vision-System | 356243de64279d76ed18a43393d124493f82d7a1 | [
"MIT"
] | 1 | 2017-01-12T15:04:38.000Z | 2017-01-12T15:04:38.000Z | preprocessors/preprocessor.py | TheLocust3/FRC-Field-Vision-System | 356243de64279d76ed18a43393d124493f82d7a1 | [
"MIT"
] | null | null | null | preprocessors/preprocessor.py | TheLocust3/FRC-Field-Vision-System | 356243de64279d76ed18a43393d124493f82d7a1 | [
"MIT"
] | null | null | null | from abc import ABCMeta, abstractmethod
class Preprocessor(object):
__metaclass__ = ABCMeta
@abstractmethod
def preprocess_image(self, image):
pass | 21.625 | 39 | 0.710983 |
79882a25e8eb41f0fe8115ce2882d0cde9b215c2 | 637 | py | Python | backend/manage.py | crowdbotics-apps/muddy-cloud-30262 | 538326b9271dd6435af8a018fca416adfb1068c9 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/manage.py | crowdbotics-apps/muddy-cloud-30262 | 538326b9271dd6435af8a018fca416adfb1068c9 | [
"FTL",
"AML",
"RSA-MD"
] | 26 | 2021-09-02T02:24:27.000Z | 2021-12-19T17:21:10.000Z | backend/manage.py | crowdbotics-apps/muddy-cloud-30262 | 538326b9271dd6435af8a018fca416adfb1068c9 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'muddy_cloud_30262.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
ra... | 28.954545 | 81 | 0.687598 |
79882b999151459dfb022a398adeb0537622bd3b | 13,396 | py | Python | battle-for-indent/engine/units.py | ficrus/battle-for-indent | 54a9750e3e2ea09d233647918aa7b5cb4586fa4e | [
"MIT"
] | null | null | null | battle-for-indent/engine/units.py | ficrus/battle-for-indent | 54a9750e3e2ea09d233647918aa7b5cb4586fa4e | [
"MIT"
] | 9 | 2019-03-26T20:29:48.000Z | 2022-03-12T00:53:50.000Z | battle-for-indent/engine/units.py | ficrus/battle-for-indent | 54a9750e3e2ea09d233647918aa7b5cb4586fa4e | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
from interface import Leaf
import arcade
class BaseUnit(Leaf):
def __init__(self, sprite=None, x=0, y=0, scale=1, mirrored=False):
self.sprite = None
if sprite is not None:
self.sprite = sprite(scale=scale, mirrored=mirrored)
self.fraction = ... | 36.601093 | 117 | 0.571812 |
79882c20bd692916cbdcc5e4c20f6f5fc50898bf | 1,601 | py | Python | demo/PCA_demo_without_label.py | abmas/loglizer | 6f5216c9bc48ced7d3dd0eba8fabcf2ffb987f3e | [
"MIT"
] | null | null | null | demo/PCA_demo_without_label.py | abmas/loglizer | 6f5216c9bc48ced7d3dd0eba8fabcf2ffb987f3e | [
"MIT"
] | null | null | null | demo/PCA_demo_without_label.py | abmas/loglizer | 6f5216c9bc48ced7d3dd0eba8fabcf2ffb987f3e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
sys.path.append('../')
from loglizer.models import PCA
from loglizer import dataloader, preprocessing
struct_log = '../data/HDFS/HDFS_100k.log_structured.csv' # The structured log file
if __name__ == '__main__':
## 1. Load strutured log file and extract fe... | 41.051282 | 99 | 0.700187 |
79882c5d13907182bb3e3bf510945e116ed25003 | 2,747 | py | Python | PythonScripts/get_dTrdzProfiles.py | UBC-MOAD/outputanalysisnotebooks | 50839cde3832d26bac6641427fed03c818fbe170 | [
"Apache-2.0"
] | null | null | null | PythonScripts/get_dTrdzProfiles.py | UBC-MOAD/outputanalysisnotebooks | 50839cde3832d26bac6641427fed03c818fbe170 | [
"Apache-2.0"
] | null | null | null | PythonScripts/get_dTrdzProfiles.py | UBC-MOAD/outputanalysisnotebooks | 50839cde3832d26bac6641427fed03c818fbe170 | [
"Apache-2.0"
] | null | null | null | from netCDF4 import Dataset
import numpy as np
import pandas as pd
import canyon_tools.readout_tools as rout
#from MITgcmutils import rdmds # cant make it work
CGrid = '/data/kramosmu/results/TracerExperiments/3DVISC_REALISTIC/run29/gridGlob.nc' # Smallest volume grid, closed bdy, no canyon.
CGridOut = Dataset(CGrid)
... | 32.317647 | 145 | 0.589734 |
79882d456ec7b1366e8f8b19bd3ec13a67f1257c | 942 | py | Python | supervised_learning/0x01-classification/1-neuron.py | cbarros7/holbertonschool-machine_learning | 1edb4c253441f6319b86c9c590d1e7dd3fc32bf4 | [
"MIT"
] | 1 | 2022-03-09T19:12:22.000Z | 2022-03-09T19:12:22.000Z | supervised_learning/0x01-classification/1-neuron.py | cbarros7/holbertonschool-machine_learning | 1edb4c253441f6319b86c9c590d1e7dd3fc32bf4 | [
"MIT"
] | null | null | null | supervised_learning/0x01-classification/1-neuron.py | cbarros7/holbertonschool-machine_learning | 1edb4c253441f6319b86c9c590d1e7dd3fc32bf4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""Classification"""
import numpy as np
class Neuron():
"""Single neuron performing binary classification"""
def __init__(self, nx):
"""Constructor"""
if not isinstance(nx, int):
raise TypeError("nx must be an integer")
if nx < 1:
raise V... | 20.478261 | 62 | 0.519108 |
79882d7eee3336e1457319347086b511ad04a910 | 21,431 | py | Python | serial_scripts/rbac/base.py | atsgen/tf-test | 2748fcd81491450c75dadc71849d2a1c11061029 | [
"Apache-2.0"
] | 5 | 2020-09-29T00:36:57.000Z | 2022-02-16T06:51:32.000Z | serial_scripts/rbac/base.py | atsgen/tf-test | 2748fcd81491450c75dadc71849d2a1c11061029 | [
"Apache-2.0"
] | 27 | 2019-11-02T02:18:34.000Z | 2022-02-24T18:49:08.000Z | serial_scripts/rbac/base.py | atsgen/tf-test | 2748fcd81491450c75dadc71849d2a1c11061029 | [
"Apache-2.0"
] | 20 | 2019-11-28T16:02:25.000Z | 2022-01-06T05:56:58.000Z | import test_v1
from rbac_test import RbacFixture
from vn_test import VNFixture
from vm_test import VMFixture
from port_fixture import PortFixture
from security_group import SecurityGroupFixture
from svc_template_fixture import SvcTemplateFixture
from project_test import ProjectFixture
from floating_ip import FloatingIP... | 44.278926 | 92 | 0.587093 |
79882d8bc4e6c3a4f85605e327904bde96956d49 | 18,128 | py | Python | Python3.8/deepROC.py | Big-Life-Lab/deepROC | a36711205b2f5cc6091e20a8ae56dda1e3e9ae08 | [
"Apache-2.0"
] | 1 | 2021-09-16T22:07:52.000Z | 2021-09-16T22:07:52.000Z | Python3.8/deepROC.py | Big-Life-Lab/deepROC | a36711205b2f5cc6091e20a8ae56dda1e3e9ae08 | [
"Apache-2.0"
] | 2 | 2022-02-10T05:52:57.000Z | 2022-02-10T05:58:58.000Z | Python3.8/deepROC.py | Big-Life-Lab/deepROC | a36711205b2f5cc6091e20a8ae56dda1e3e9ae08 | [
"Apache-2.0"
] | 1 | 2022-02-09T22:03:27.000Z | 2022-02-09T22:03:27.000Z | # deepROC.py
#
# Copyright 2021 Ottawa Hospital Research Institute
#
# 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... | 38.40678 | 111 | 0.60823 |
79882e150d0c16229915747795982d06260aa38e | 6,081 | py | Python | heat/cluster/kmedoids.py | shssf/heat | 9db0a936c92491fa5aa862f558cb385c9916216b | [
"MIT"
] | 105 | 2018-05-18T11:34:03.000Z | 2022-03-29T06:37:23.000Z | heat/cluster/kmedoids.py | shssf/heat | 9db0a936c92491fa5aa862f558cb385c9916216b | [
"MIT"
] | 909 | 2018-05-18T07:50:26.000Z | 2022-03-31T20:16:30.000Z | heat/cluster/kmedoids.py | shssf/heat | 9db0a936c92491fa5aa862f558cb385c9916216b | [
"MIT"
] | 28 | 2018-05-24T14:39:18.000Z | 2022-03-31T19:18:47.000Z | """
Module Implementing the Kmedoids Algorithm
"""
import heat as ht
from heat.cluster._kcluster import _KCluster
from heat.core.dndarray import DNDarray
from typing import Optional, Union, TypeVar
class KMedoids(_KCluster):
"""
This is not the original implementation of k-medoids using PAM as originally prop... | 40.271523 | 193 | 0.583621 |
79882eda384cd05808f7f9951c3a623c20540a02 | 2,195 | py | Python | cuegui/setup.py | prOOrc/OpenCue | 02cb67f50b90e69f8494b931f5e7fefea296fd09 | [
"Apache-2.0"
] | 334 | 2019-01-23T13:48:08.000Z | 2019-06-10T06:58:49.000Z | cuegui/setup.py | prOOrc/OpenCue | 02cb67f50b90e69f8494b931f5e7fefea296fd09 | [
"Apache-2.0"
] | 564 | 2019-06-11T15:31:48.000Z | 2022-03-31T19:53:03.000Z | cuegui/setup.py | prOOrc/OpenCue | 02cb67f50b90e69f8494b931f5e7fefea296fd09 | [
"Apache-2.0"
] | 155 | 2019-06-13T11:42:00.000Z | 2022-03-16T18:31:24.000Z | # Copyright Contributors to the OpenCue Project
#
# 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... | 30.915493 | 75 | 0.659681 |
79882f21b94719f4de9be7b20b23060e279cecb3 | 2,126 | py | Python | envs/dev/bin/player.py | Aleksey-Hugo/Avtoservis-Ulyanovsk-one- | 073cf02eda5efc7ed7598a39bcf62815f2bfeebb | [
"Apache-2.0"
] | 1 | 2021-06-29T13:28:44.000Z | 2021-06-29T13:28:44.000Z | envs/dev/bin/player.py | Aleksey-Hugo/Avtoservis-Ulyanovsk-one- | 073cf02eda5efc7ed7598a39bcf62815f2bfeebb | [
"Apache-2.0"
] | null | null | null | envs/dev/bin/player.py | Aleksey-Hugo/Avtoservis-Ulyanovsk-one- | 073cf02eda5efc7ed7598a39bcf62815f2bfeebb | [
"Apache-2.0"
] | null | null | null | #!/home/pinachet/PROJECTS/car_service/envs/dev/bin/python3.5
#
# The Python Imaging Library
# $Id$
#
from __future__ import print_function
import sys
if sys.version_info[0] > 2:
import tkinter
else:
import Tkinter as tkinter
from PIL import Image, ImageTk
# ------------------------------------------------... | 21.693878 | 80 | 0.497178 |
79882f990a16d96612c51b83b31c8f44de85a3f8 | 9,591 | py | Python | helmet_assignment/score.py | rmulla-biocorellc/helmet-assignment | 9e806468aed127e9e1e77d36a5e56fa654aa2ea1 | [
"Apache-2.0"
] | null | null | null | helmet_assignment/score.py | rmulla-biocorellc/helmet-assignment | 9e806468aed127e9e1e77d36a5e56fa654aa2ea1 | [
"Apache-2.0"
] | null | null | null | helmet_assignment/score.py | rmulla-biocorellc/helmet-assignment | 9e806468aed127e9e1e77d36a5e56fa654aa2ea1 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import pandas as pd
from sklearn.metrics import accuracy_score
"""
Helper functions for scoring accoring to the competition evaluation metric.
https://www.kaggle.com/c/nfl-health-and-safety-helmet-assignment/overview/evaluation
"""
def check_submission(sub):
"""
Checks that the submission ... | 36.60687 | 120 | 0.599208 |
79882ff5a2172301a7cd0da2cf8c3fcd5a288c40 | 2,473 | py | Python | docs/gallery/grib_scatterplot.py | ecmwf/metview-docs | cfde15232834c2d2a8393e7e6ba67ba95acd51e0 | [
"Apache-2.0"
] | 2 | 2021-07-19T09:02:33.000Z | 2021-09-01T14:29:50.000Z | docs/gallery/grib_scatterplot.py | ecmwf/metview-docs | cfde15232834c2d2a8393e7e6ba67ba95acd51e0 | [
"Apache-2.0"
] | 1 | 2021-10-14T11:53:08.000Z | 2021-12-01T10:07:34.000Z | docs/gallery/grib_scatterplot.py | ecmwf/metview-docs | cfde15232834c2d2a8393e7e6ba67ba95acd51e0 | [
"Apache-2.0"
] | null | null | null | """
GRIB Scatterplot
"""
# (C) Copyright 2017- ECMWF.
#
# This software is licensed under the terms of the Apache Licence Version 2.0
# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
#
# In applying this licence, ECMWF does not waive the privileges and immunities
# granted to it by virtue of its ... | 24.245098 | 87 | 0.690659 |
79883051404f7ab3aa87fce3e0ffd7976e3245d4 | 529 | py | Python | benchmarks/distributed/rpc/parameter_server/metrics/CPUMetric.py | Hacky-DH/pytorch | 80dc4be615854570aa39a7e36495897d8a040ecc | [
"Intel"
] | 60,067 | 2017-01-18T17:21:31.000Z | 2022-03-31T21:37:45.000Z | benchmarks/distributed/rpc/parameter_server/metrics/CPUMetric.py | Hacky-DH/pytorch | 80dc4be615854570aa39a7e36495897d8a040ecc | [
"Intel"
] | 66,955 | 2017-01-18T17:21:38.000Z | 2022-03-31T23:56:11.000Z | benchmarks/distributed/rpc/parameter_server/metrics/CPUMetric.py | Hacky-DH/pytorch | 80dc4be615854570aa39a7e36495897d8a040ecc | [
"Intel"
] | 19,210 | 2017-01-18T17:45:04.000Z | 2022-03-31T23:51:56.000Z | import time
from .MetricBase import MetricBase
class CPUMetric(MetricBase):
def __init__(self, name: str):
self.name = name
self.start = None
self.end = None
def record_start(self):
self.start = time.time()
def record_end(self):
self.end = time.time()
def el... | 22.041667 | 47 | 0.599244 |
79883053b39243c3198b52a2c889f40cc1d293ed | 31,638 | py | Python | openmdao/core/tests/test_discrete.py | relf/OpenMDAO | e96aa063d04330ed0aedece365b7f0b8717aad3b | [
"Apache-2.0"
] | null | null | null | openmdao/core/tests/test_discrete.py | relf/OpenMDAO | e96aa063d04330ed0aedece365b7f0b8717aad3b | [
"Apache-2.0"
] | null | null | null | openmdao/core/tests/test_discrete.py | relf/OpenMDAO | e96aa063d04330ed0aedece365b7f0b8717aad3b | [
"Apache-2.0"
] | 1 | 2021-04-15T13:33:39.000Z | 2021-04-15T13:33:39.000Z | """ Unit tests for discrete variables."""
import sys
import unittest
import copy
from io import StringIO
import numpy as np
import openmdao.api as om
from openmdao.core.driver import Driver
from openmdao.visualization.n2_viewer.n2_viewer import _get_viewer_data
from openmdao.test_suite.components.sellar import State... | 32.819502 | 132 | 0.577944 |
79883059a66ed94f5480aa85171b7943229e7851 | 688 | py | Python | google/ads/googleads/v6/services/services/feed_item_set_service/__init__.py | wxxlouisa/google-ads-python | f24137966f6bfcb765a9b1fae79f2d23041825fe | [
"Apache-2.0"
] | null | null | null | google/ads/googleads/v6/services/services/feed_item_set_service/__init__.py | wxxlouisa/google-ads-python | f24137966f6bfcb765a9b1fae79f2d23041825fe | [
"Apache-2.0"
] | null | null | null | google/ads/googleads/v6/services/services/feed_item_set_service/__init__.py | wxxlouisa/google-ads-python | f24137966f6bfcb765a9b1fae79f2d23041825fe | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# 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 o... | 32.761905 | 74 | 0.75436 |
7988319648dde12f1f3498184e7c6930b3a65a24 | 535 | py | Python | src/study_keras/1_hello_mnist/hello_mnist.py | iascchen/ai_study_notes | 03f46c5e37670c10bd99000d979940db8878f36c | [
"MIT"
] | 4 | 2019-08-08T09:39:01.000Z | 2019-08-08T09:44:58.000Z | src/study_keras/1_hello_mnist/hello_mnist.py | iascchen/ai_study_notes | 03f46c5e37670c10bd99000d979940db8878f36c | [
"MIT"
] | 5 | 2020-01-28T22:54:31.000Z | 2021-12-13T20:07:11.000Z | src/study_keras/1_hello_mnist/hello_mnist.py | iascchen/ai_study_notes | 03f46c5e37670c10bd99000d979940db8878f36c | [
"MIT"
] | null | null | null | from tensorflow.keras import datasets, layers, models
mnist = datasets.mnist
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0
model = models.Sequential([
layers.Flatten(input_shape=(28, 28)),
layers.Dense(128, activation='relu'),
layers.Dropout(0.... | 28.157895 | 93 | 0.725234 |
798832046ef2d07da35dddfac44c0a9c323e5241 | 5,551 | py | Python | practice/chatbot/practice.py | ohahohah/basketball-chatbot | 1154942fe38749eba58f7f45766a597540f1658e | [
"MIT"
] | 4 | 2020-05-03T02:54:50.000Z | 2021-07-23T15:10:34.000Z | practice/chatbot/practice.py | ohahohah/basketball-chatbot | 1154942fe38749eba58f7f45766a597540f1658e | [
"MIT"
] | 6 | 2020-04-29T14:24:31.000Z | 2020-06-03T12:54:43.000Z | practice/chatbot/practice.py | ohahohah/basketball-chatbot | 1154942fe38749eba58f7f45766a597540f1658e | [
"MIT"
] | 1 | 2020-05-31T12:50:45.000Z | 2020-05-31T12:50:45.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# This program is dedicated to the public domain under the CC0 license.
"""
First, a few callback functions are defined. Then, those functions are passed to
the Dispatcher and registered at their respective places.
Then, the bot is started and runs until we press Ctrl-C on... | 32.846154 | 99 | 0.667808 |
7988332af1b3588c38ea99bcc129436cef521930 | 1,534 | py | Python | examples/getfile.py | susmit85/ndn-python-repo | 45a76bd3e78b0157e364413d62d3aaa51cd20353 | [
"Apache-2.0"
] | 5 | 2019-10-07T00:01:54.000Z | 2019-12-03T18:28:59.000Z | examples/getfile.py | susmit85/ndn-python-repo | 45a76bd3e78b0157e364413d62d3aaa51cd20353 | [
"Apache-2.0"
] | 48 | 2020-01-24T04:29:14.000Z | 2020-12-11T09:08:50.000Z | examples/getfile.py | susmit85/ndn-python-repo | 45a76bd3e78b0157e364413d62d3aaa51cd20353 | [
"Apache-2.0"
] | 6 | 2020-02-20T00:05:33.000Z | 2020-11-27T05:27:14.000Z | #!/usr/bin/env python3
"""
NDN Repo getfile example.
@Author jonnykong@cs.ucla.edu
"""
import argparse
import asyncio as aio
import logging
from ndn.app import NDNApp
from ndn.encoding import Name
from ndn.security import KeychainDigest
from ndn_python_repo.clients import GetfileClient
async def run_getfile... | 29.5 | 90 | 0.619948 |
79883382efbbbdbc0d0901ddaaa5739701d4eb74 | 5,684 | py | Python | deeplab_Mobile/nets/mobilenetV2.py | Ice833/Semantic-Segmentation | 23d23f6da3b34884c044a2253d65a1e4097adb2d | [
"MIT"
] | 1 | 2020-12-16T08:29:13.000Z | 2020-12-16T08:29:13.000Z | deeplab_Mobile/nets/mobilenetV2.py | Ice833/Semantic-Segmentation | 23d23f6da3b34884c044a2253d65a1e4097adb2d | [
"MIT"
] | null | null | null | deeplab_Mobile/nets/mobilenetV2.py | Ice833/Semantic-Segmentation | 23d23f6da3b34884c044a2253d65a1e4097adb2d | [
"MIT"
] | null | null | null | from keras.models import Model
from keras import layers
from keras.layers import Input
from keras.layers import Lambda
from keras.layers import Activation
from keras.layers import Concatenate
from keras.layers import Add
from keras.layers import Dropout
from keras.layers import BatchNormalization
from keras.la... | 46.211382 | 103 | 0.603976 |
798833cbeb459edbac5b858afc22546c4e36d26e | 25,557 | py | Python | sdk/appplatform/azure-mgmt-appplatform/azure/mgmt/appplatform/v2020_07_01/aio/operations/_config_servers_operations.py | JianpingChen/azure-sdk-for-python | 3072fc8c0366287fbaea1b02493a50259c3248a2 | [
"MIT"
] | 3 | 2020-06-23T02:25:27.000Z | 2021-09-07T18:48:11.000Z | sdk/appplatform/azure-mgmt-appplatform/azure/mgmt/appplatform/v2020_07_01/aio/operations/_config_servers_operations.py | JianpingChen/azure-sdk-for-python | 3072fc8c0366287fbaea1b02493a50259c3248a2 | [
"MIT"
] | 510 | 2019-07-17T16:11:19.000Z | 2021-08-02T08:38:32.000Z | sdk/appplatform/azure-mgmt-appplatform/azure/mgmt/appplatform/v2020_07_01/aio/operations/_config_servers_operations.py | JianpingChen/azure-sdk-for-python | 3072fc8c0366287fbaea1b02493a50259c3248a2 | [
"MIT"
] | 5 | 2019-09-04T12:51:37.000Z | 2020-09-16T07:28:40.000Z | # 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 may ... | 52.157143 | 205 | 0.686348 |
7988344ed8e2dcc42a4385c612b595283ed527b1 | 26,416 | py | Python | test/unit/test_vm.py | sturmianseq/vcdriver | 2af612fd7dfef4fb691bc1c3cbe612269c27f3de | [
"MIT"
] | 3 | 2019-04-20T04:34:52.000Z | 2020-05-13T01:41:46.000Z | test/unit/test_vm.py | sturmianseq/vcdriver | 2af612fd7dfef4fb691bc1c3cbe612269c27f3de | [
"MIT"
] | 8 | 2017-09-29T15:31:56.000Z | 2021-08-03T15:49:21.000Z | test/unit/test_vm.py | sturmianseq/vcdriver | 2af612fd7dfef4fb691bc1c3cbe612269c27f3de | [
"MIT"
] | 10 | 2017-08-17T09:28:13.000Z | 2021-08-10T02:45:09.000Z | import datetime
import mock
import os
import pytest
from pyVmomi import vim
import winrm
from vcdriver.exceptions import (
NoObjectFound,
TooManyObjectsFound,
SshError,
DownloadError,
UploadError,
WinRmError,
TimeoutError,
NotEnoughDiskSpace,
)
from vcdriver.vm import (
VirtualMach... | 33.953728 | 79 | 0.729596 |
79883470a408b51b840dc907f08fe9f116074857 | 1,358 | py | Python | sparksession.py | tsevans/EmoViz | f1b679c96551ec169e996cf68dd46825ba8a5fa3 | [
"MIT"
] | null | null | null | sparksession.py | tsevans/EmoViz | f1b679c96551ec169e996cf68dd46825ba8a5fa3 | [
"MIT"
] | null | null | null | sparksession.py | tsevans/EmoViz | f1b679c96551ec169e996cf68dd46825ba8a5fa3 | [
"MIT"
] | null | null | null | from pyspark.sql import SparkSession as SS
from pyspark.conf import SparkConf
from pyspark.sql import SQLContext
import multiprocessing as mp
def csv_to_spark_dataframe(file_path, sesh):
"""
Convert a csv file to a spark dataframe.
:param file_path: File path object of the csv to convert.
:param sesh:... | 32.333333 | 105 | 0.717231 |
798834795d7d28815c16c819a8bc518268901457 | 410 | py | Python | h/migrations/versions/c739ee2ae59c_add_refresh_token_column_to_token_table.py | tgiardina/rpp-h | fece590f901b052a59c19a24acfeba52cee33c84 | [
"BSD-2-Clause"
] | 1 | 2020-06-19T01:49:39.000Z | 2020-06-19T01:49:39.000Z | h/migrations/versions/c739ee2ae59c_add_refresh_token_column_to_token_table.py | tgiardina/rpp-h | fece590f901b052a59c19a24acfeba52cee33c84 | [
"BSD-2-Clause"
] | 5 | 2019-10-31T14:23:18.000Z | 2019-11-15T19:24:27.000Z | h/migrations/versions/c739ee2ae59c_add_refresh_token_column_to_token_table.py | tgiardina/rpp-h | fece590f901b052a59c19a24acfeba52cee33c84 | [
"BSD-2-Clause"
] | null | null | null | """
add refresh_token column to token table
Revision ID: c739ee2ae59c
Revises: 9f5e274b202c
Create Date: 2017-01-24 19:00:07.493002
"""
import sqlalchemy as sa
from alembic import op
revision = "c739ee2ae59c"
down_revision = "9f5e274b202c"
def upgrade():
op.add_column("token", sa.Column("refresh_token", sa.Uni... | 18.636364 | 85 | 0.743902 |
798834d9abcf448238caf0ddafe983bc38f5bcd3 | 6,567 | py | Python | azure/scripts/azureutils.py | f5devcentral/f5-big-iq-trial | 0bc3a28b08bc7ce9b161fea4a649d79571f7ca89 | [
"Apache-2.0"
] | 10 | 2018-07-26T03:57:11.000Z | 2020-04-27T07:20:13.000Z | azure/scripts/azureutils.py | f5devcentral/f5-big-iq-trial | 0bc3a28b08bc7ce9b161fea4a649d79571f7ca89 | [
"Apache-2.0"
] | 6 | 2018-08-17T02:34:48.000Z | 2019-03-22T19:47:25.000Z | azure/scripts/azureutils.py | f5devcentral/f5-big-iq-trial | 0bc3a28b08bc7ce9b161fea4a649d79571f7ca89 | [
"Apache-2.0"
] | 7 | 2018-08-20T07:12:59.000Z | 2021-12-26T23:04:30.000Z | #! /usr/local/bin/python2.7
import argparse
import subprocess
import os
from azure.mgmt.resource import ResourceManagementClient
from azure.common.credentials import ServicePrincipalCredentials
api_version = "2018-10-01"
subscription_holder = "{subscription}"
resource_group_holder = "{resourceGroupName}"
public_ip_hol... | 42.921569 | 147 | 0.743109 |
798834ee49dd196e9f6a627e0901f2add975e62b | 6,161 | py | Python | trainer/get_realtime_mbta_feed.py | amalrkrishna/subway_time_prediction | 11d3b82dfdba84ed0953b8f38e0c13bd2124b885 | [
"MIT"
] | 3 | 2020-12-18T09:06:51.000Z | 2021-06-01T07:58:09.000Z | trainer/get_realtime_mbta_feed.py | amalrkrishna/subway_time_prediction | 11d3b82dfdba84ed0953b8f38e0c13bd2124b885 | [
"MIT"
] | null | null | null | trainer/get_realtime_mbta_feed.py | amalrkrishna/subway_time_prediction | 11d3b82dfdba84ed0953b8f38e0c13bd2124b885 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Dec 9 10:35:12 2018
@author: amal
"""
import time
import task
import model
import helpers
import numpy as np
import pandas as pd
from geopy.distance import vincenty
import threading
VEHICLE_POSITIONS = "https://cdn.mbta.com/realtime/VehiclePositions... | 40.006494 | 109 | 0.531245 |
7988355e1161af457fdb9dd0d8f38d94c7a0a8a9 | 10,726 | py | Python | isi_sdk_8_0/isi_sdk_8_0/models/quota_notification_create_params.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 24 | 2018-06-22T14:13:23.000Z | 2022-03-23T01:21:26.000Z | isi_sdk_8_0/isi_sdk_8_0/models/quota_notification_create_params.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 46 | 2018-04-30T13:28:22.000Z | 2022-03-21T21:11:07.000Z | isi_sdk_8_0/isi_sdk_8_0/models/quota_notification_create_params.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 29 | 2018-06-19T00:14:04.000Z | 2022-02-08T17:51:19.000Z | # coding: utf-8
"""
Isilon SDK
Isilon SDK - Language bindings for the OneFS API # noqa: E501
OpenAPI spec version: 3
Contact: sdk@isilon.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
from isi_sdk_8_0.models.quota_not... | 32.801223 | 190 | 0.629312 |
7988365ee70d0970b14fde1db9f62bbee6b9e9b6 | 184 | py | Python | examples/account1/scam.py | Atheridis/aptbot | ee4372b6f0878fe3678e6a67d44494cc92437856 | [
"MIT"
] | null | null | null | examples/account1/scam.py | Atheridis/aptbot | ee4372b6f0878fe3678e6a67d44494cc92437856 | [
"MIT"
] | null | null | null | examples/account1/scam.py | Atheridis/aptbot | ee4372b6f0878fe3678e6a67d44494cc92437856 | [
"MIT"
] | null | null | null | from aptbot.bot import Message, Commands, Bot
def main(bot: Bot, message: Message):
msg = message.nick + " you have been scammed KEKW"
bot.send_privmsg(message.channel, msg)
| 26.285714 | 54 | 0.717391 |
79883a938827fab94b10ab9f71637d87c3fba9f6 | 129 | py | Python | utils.py | alextitonis/Simple-GPT3-Chat-Bot | 267eba9609448bb6f7346e72743c951f242391a2 | [
"MIT"
] | null | null | null | utils.py | alextitonis/Simple-GPT3-Chat-Bot | 267eba9609448bb6f7346e72743c951f242391a2 | [
"MIT"
] | null | null | null | utils.py | alextitonis/Simple-GPT3-Chat-Bot | 267eba9609448bb6f7346e72743c951f242391a2 | [
"MIT"
] | null | null | null | def read_file(filename):
print(filename)
with open(filename, 'r') as infile:
text = infile.read()
return text | 25.8 | 39 | 0.635659 |
79883abd1c46ab4dc93c7b763746993dd083c458 | 897 | py | Python | fedlab_benchmarks/fedasync/cross_machine.py/server.py | williamium3000/FedLab-benchmarks | 9c2c49c95da6c2d464140769b913a28ea48e08f7 | [
"Apache-2.0"
] | 46 | 2021-09-05T11:49:53.000Z | 2022-03-30T07:11:22.000Z | fedlab_benchmarks/fedasync/cross_machine.py/server.py | williamium3000/FedLab-benchmarks | 9c2c49c95da6c2d464140769b913a28ea48e08f7 | [
"Apache-2.0"
] | 7 | 2021-11-17T08:45:14.000Z | 2022-03-28T12:39:57.000Z | fedlab_benchmarks/fedasync/cross_machine.py/server.py | williamium3000/FedLab-benchmarks | 9c2c49c95da6c2d464140769b913a28ea48e08f7 | [
"Apache-2.0"
] | 14 | 2021-09-06T02:21:38.000Z | 2022-03-31T15:10:40.000Z | import os
import sys
from fedlab.core.network import DistNetwork
from fedlab.core.server.handler import AsyncParameterServerHandler
from fedlab.core.server.manager import ServerAsynchronousManager
sys.path.append("../../../")
from models.cnn import CNN_MNIST
import argparse
if __name__ == "__main__":
parser = arg... | 32.035714 | 79 | 0.701226 |
79883c45d6defebb46494a74e55f2893b6d88010 | 500 | py | Python | home/migrations/0068_auto_20181114_2237.py | gjergjk71/Attendence | 9e9370125bfc4958de02171a3ae4c8e16bf10913 | [
"MIT"
] | null | null | null | home/migrations/0068_auto_20181114_2237.py | gjergjk71/Attendence | 9e9370125bfc4958de02171a3ae4c8e16bf10913 | [
"MIT"
] | null | null | null | home/migrations/0068_auto_20181114_2237.py | gjergjk71/Attendence | 9e9370125bfc4958de02171a3ae4c8e16bf10913 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.3 on 2018-11-14 17:07
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('home', '0067_auto_20181114_2237'),
]
operations = [
migrations.AlterField(
model_name='add_stud... | 25 | 112 | 0.654 |
79883caa5b75915d0cfc0a43d25bc631c2ffd19b | 311 | py | Python | Proyecto/tester/test2.py | arnel-sanchez/IA-Sim-Com | 22023342f20202b260caa759af9cce71d803663e | [
"MIT"
] | 2 | 2021-11-20T23:35:20.000Z | 2021-12-10T17:45:56.000Z | Proyecto/tester/test2.py | arnel-sanchez/IA-Sim-Com | 22023342f20202b260caa759af9cce71d803663e | [
"MIT"
] | null | null | null | Proyecto/tester/test2.py | arnel-sanchez/IA-Sim-Com | 22023342f20202b260caa759af9cce71d803663e | [
"MIT"
] | 1 | 2022-02-11T07:24:50.000Z | 2022-02-11T07:24:50.000Z | from os.path import dirname, abspath
from sys import path
SCRIPT_DIR = dirname(abspath(__file__))
path[0] = dirname(SCRIPT_DIR)
path[1] = dirname(SCRIPT_DIR)
from main import main
if __name__ == '__main__':
main("Prueba2 ,#Error al querer comparar expresiones que tienen tipos inducidos diferentes.pys")
| 25.916667 | 100 | 0.765273 |
79883cb52ff533062c658f02e3999974a7d25651 | 24,107 | py | Python | pymantic/rdf.py | dnswd/blazegraph-python | 046a6b47406b0f56d71abc6039f4d7586a1708d2 | [
"BSD-3-Clause"
] | null | null | null | pymantic/rdf.py | dnswd/blazegraph-python | 046a6b47406b0f56d71abc6039f4d7586a1708d2 | [
"BSD-3-Clause"
] | null | null | null | pymantic/rdf.py | dnswd/blazegraph-python | 046a6b47406b0f56d71abc6039f4d7586a1708d2 | [
"BSD-3-Clause"
] | 1 | 2021-12-27T07:42:32.000Z | 2021-12-27T07:42:32.000Z | """Provides common classes and functions for modelling an RDF graph using
Python objects."""
import sys
import os.path
import urlparse
import re
import logging
from io import StringIO
from string import Template
import pymantic.util as util
from pymantic.primitives import *
log = logging.getLogger(__name__)
if sys.... | 42.97148 | 110 | 0.628614 |
79883cbc4c8d5ecef0ccee1f1f05396bc6df552b | 10,994 | py | Python | ilorest/extensions/COMMANDS/LoginCommand.py | thomasgoirand/python-redfish-utility | 96e879df231c5be7b1a23d1242e42d9b12e3d9b1 | [
"Apache-2.0"
] | null | null | null | ilorest/extensions/COMMANDS/LoginCommand.py | thomasgoirand/python-redfish-utility | 96e879df231c5be7b1a23d1242e42d9b12e3d9b1 | [
"Apache-2.0"
] | null | null | null | ilorest/extensions/COMMANDS/LoginCommand.py | thomasgoirand/python-redfish-utility | 96e879df231c5be7b1a23d1242e42d9b12e3d9b1 | [
"Apache-2.0"
] | null | null | null | ###
# Copyright 2016-2021 Hewlett Packard Enterprise, Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | 42.284615 | 139 | 0.585774 |
79883cf024637514baec1220e174ffb59ac14788 | 2,405 | py | Python | every_election/apps/organisations/boundaries/management/base.py | DemocracyClub/EveryElection | da8a561cb4a84d9b432b1508a68f8cfada3d9515 | [
"BSD-3-Clause"
] | 8 | 2017-06-29T10:11:33.000Z | 2019-12-16T16:17:51.000Z | every_election/apps/organisations/boundaries/management/base.py | DemocracyClub/EveryElection | da8a561cb4a84d9b432b1508a68f8cfada3d9515 | [
"BSD-3-Clause"
] | 1,300 | 2017-01-08T14:02:24.000Z | 2022-03-31T09:11:30.000Z | every_election/apps/organisations/boundaries/management/base.py | DemocracyClub/EveryElection | da8a561cb4a84d9b432b1508a68f8cfada3d9515 | [
"BSD-3-Clause"
] | 11 | 2017-02-04T10:48:04.000Z | 2021-01-27T15:07:55.000Z | import shutil
from django.core.management.base import BaseCommand
from core.mixins import ReadFromFileMixin
from organisations.models import (
DivisionGeography,
OrganisationDivision,
OrganisationGeography,
)
from storage.zipfile import unzip
class BaseBoundaryLineCommand(ReadFromFileMixin, BaseCommand):... | 34.357143 | 88 | 0.626195 |
79883ed225e08b8422290636a2b993d11abdb8f7 | 4,989 | py | Python | tests/python/relay/test_ir_nodes.py | fegin/tvm | 493fc040287cd79410539b65886cf06efbb2e927 | [
"Apache-2.0"
] | 1 | 2021-05-09T01:38:04.000Z | 2021-05-09T01:38:04.000Z | tests/python/relay/test_ir_nodes.py | KeDengMS/tvm | 259e350aabfc86c1a0ce1a22036de3bd34c6d16c | [
"Apache-2.0"
] | 1 | 2019-03-19T21:02:32.000Z | 2019-03-19T21:02:32.000Z | tests/python/relay/test_ir_nodes.py | fegin/tvm | 493fc040287cd79410539b65886cf06efbb2e927 | [
"Apache-2.0"
] | null | null | null | """ test ir"""
import tvm
from tvm import relay
from tvm.expr import *
def test_bad_constructor():
try:
x = relay.ty.TensorType("xx", "xx")
except tvm.TVMError:
pass
# Span
def test_span():
span = relay.Span(None, 1, 1)
assert span.source == None
assert span.lineno == 1
assert... | 24.576355 | 80 | 0.627781 |
79884048f52ac02cbf97bb0ba5a19e8d9570dc65 | 2,570 | py | Python | examples/lstm.py | hotpxl/minpy-jit | fdf968ebe526f1e3f1d7fd7b5c3595d70a4b851d | [
"Apache-2.0"
] | 1 | 2019-09-13T20:23:14.000Z | 2019-09-13T20:23:14.000Z | examples/lstm.py | hotpxl/minpy-jit | fdf968ebe526f1e3f1d7fd7b5c3595d70a4b851d | [
"Apache-2.0"
] | null | null | null | examples/lstm.py | hotpxl/minpy-jit | fdf968ebe526f1e3f1d7fd7b5c3595d70a4b851d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import time
import sys
import functools
import mxnet as mx
import mxnet.ndarray as nd
sys.path.append('../')
from minpy import atomic, jit
context = mx.cpu()
@atomic
def linear(X, W, bias):
return nd.dot(X, W) + bias
@atomic
def sigmoid(x):
return .5 * (nd.tanh... | 26.22449 | 85 | 0.589494 |
7988425ad45a3616b8f75a95d763e39fde48928a | 6,955 | py | Python | drf_spectacular/utils.py | jayvdb/drf-spectacular | bca26d3a731b0b16543d854a118aaa6a6d11bdc5 | [
"BSD-3-Clause"
] | null | null | null | drf_spectacular/utils.py | jayvdb/drf-spectacular | bca26d3a731b0b16543d854a118aaa6a6d11bdc5 | [
"BSD-3-Clause"
] | null | null | null | drf_spectacular/utils.py | jayvdb/drf-spectacular | bca26d3a731b0b16543d854a118aaa6a6d11bdc5 | [
"BSD-3-Clause"
] | null | null | null | import inspect
from rest_framework.settings import api_settings
class PolymorphicProxySerializer:
"""
This class is to be used with :func:`@extend_schema <.extend_schema>` to
signal a request/response might be polymorphic (accepts/returns data
possibly from different serializers)
Beware that thi... | 36.994681 | 116 | 0.640259 |
7988428672336771fa8808a6295bbc6953676c45 | 6,999 | py | Python | 36-ratios/eval/voc_eval.py | Yu-Nie/YOLOV3 | 09db1d551d293dcfa7a638fd6693920840d28a74 | [
"MIT"
] | null | null | null | 36-ratios/eval/voc_eval.py | Yu-Nie/YOLOV3 | 09db1d551d293dcfa7a638fd6693920840d28a74 | [
"MIT"
] | null | null | null | 36-ratios/eval/voc_eval.py | Yu-Nie/YOLOV3 | 09db1d551d293dcfa7a638fd6693920840d28a74 | [
"MIT"
] | null | null | null | # --------------------------------------------------------
# Fast/er R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Bharath Hariharan
# --------------------------------------------------------
import xml.etree.ElementTree as ET
import os
import pickle
import numpy as np
def parse_rec(fi... | 34.648515 | 78 | 0.524504 |
798842d72b873617d613089bdca1f86eae28cb05 | 14,395 | py | Python | vocoder/models/fatchord_version.py | mgerhards/Real-Time-Voice-Cloning | c7defceed16fc7c3e0798331c740d121e2a76129 | [
"MIT"
] | 305 | 2019-09-02T19:59:03.000Z | 2022-03-27T09:44:42.000Z | vocoder/models/fatchord_version.py | mgerhards/Real-Time-Voice-Cloning | c7defceed16fc7c3e0798331c740d121e2a76129 | [
"MIT"
] | 28 | 2019-09-10T18:00:32.000Z | 2021-10-01T07:24:27.000Z | vocoder/models/fatchord_version.py | mgerhards/Real-Time-Voice-Cloning | c7defceed16fc7c3e0798331c740d121e2a76129 | [
"MIT"
] | 88 | 2019-08-27T07:14:53.000Z | 2022-03-27T09:37:35.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
from vocoder.distribution import sample_from_discretized_mix_logistic
from vocoder.display import *
from vocoder.audio import *
class ResBlock(nn.Module):
def __init__(self, dims):
super().__init__()
self.conv1 = nn.Conv1d(dims, di... | 34.770531 | 113 | 0.553039 |
798842ea4982e9e20fe739f9b253dca894076373 | 800 | py | Python | tests/benchmarks/bm_subdivide_meshes.py | janEbert/pytorch3d | accdac80fb29e82f72d4e8e73135ba8fd790b6c0 | [
"MIT",
"BSD-3-Clause"
] | 1 | 2022-01-24T20:51:16.000Z | 2022-01-24T20:51:16.000Z | tests/benchmarks/bm_subdivide_meshes.py | janEbert/pytorch3d | accdac80fb29e82f72d4e8e73135ba8fd790b6c0 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | tests/benchmarks/bm_subdivide_meshes.py | janEbert/pytorch3d | accdac80fb29e82f72d4e8e73135ba8fd790b6c0 | [
"MIT",
"BSD-3-Clause"
] | 1 | 2022-03-29T04:29:06.000Z | 2022-03-29T04:29:06.000Z | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from itertools import product
from fvcore.common.benchmark import benchmark
from test_subdivide_meshes import... | 25 | 71 | 0.69125 |
7988438b0d467fc1f1f8a61e15a730f93319b203 | 6,066 | py | Python | ote/ote/utils/misc.py | dqawami/openvino_training_extensions | dddda1dfd651eaae2d59cecda84275b1b03bd0ad | [
"Apache-2.0"
] | 256 | 2020-09-09T03:27:57.000Z | 2022-03-30T10:06:06.000Z | ote/ote/utils/misc.py | dqawami/openvino_training_extensions | dddda1dfd651eaae2d59cecda84275b1b03bd0ad | [
"Apache-2.0"
] | 604 | 2020-09-08T12:29:49.000Z | 2022-03-31T21:51:08.000Z | ote/ote/utils/misc.py | dqawami/openvino_training_extensions | dddda1dfd651eaae2d59cecda84275b1b03bd0ad | [
"Apache-2.0"
] | 160 | 2020-09-09T14:06:07.000Z | 2022-03-30T14:50:48.000Z | """
Copyright (c) 2020-2021 Intel Corporation
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... | 33.7 | 113 | 0.620343 |
798843e5f75b1d18716a8140b43cf52a08213708 | 732 | py | Python | airline/migrations/0004_airlineroutewaypoints.py | RobertPastor/flight-profile | bdc3bb9defeb347db26f96f7accd4d06cad1e33b | [
"MIT"
] | null | null | null | airline/migrations/0004_airlineroutewaypoints.py | RobertPastor/flight-profile | bdc3bb9defeb347db26f96f7accd4d06cad1e33b | [
"MIT"
] | null | null | null | airline/migrations/0004_airlineroutewaypoints.py | RobertPastor/flight-profile | bdc3bb9defeb347db26f96f7accd4d06cad1e33b | [
"MIT"
] | null | null | null | # Generated by Django 2.2.11 on 2022-03-16 21:02
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('airline', '0003_airlineaircraft'),
]
operations = [
migrations.CreateModel(
name='AirlineRoute... | 30.5 | 117 | 0.60929 |
79884460e772f40a607203371c61d714639d6bc0 | 7,548 | py | Python | setup.py | Narsil/sympy | 4d837e074b871af351b42591697fe126411a910f | [
"BSD-3-Clause"
] | null | null | null | setup.py | Narsil/sympy | 4d837e074b871af351b42591697fe126411a910f | [
"BSD-3-Clause"
] | null | null | null | setup.py | Narsil/sympy | 4d837e074b871af351b42591697fe126411a910f | [
"BSD-3-Clause"
] | 1 | 2022-03-21T09:07:27.000Z | 2022-03-21T09:07:27.000Z | #!/usr/bin/env python
"""Distutils based setup script for SymPy.
This uses Distutils (http://python.org/sigs/distutils-sig/) the standard
python mechanism for installing packages. For the easiest installation
just type the command (you'll probably need root privileges for that):
python setup.py install
This will... | 29.952381 | 134 | 0.626391 |
798844a45f158dc0a70cc882e9716ccb0ee3bfaa | 4,300 | py | Python | PythonWeb/example/App/views.py | JimouChen/python-application | b7b16506a17e2c304d1c5fabd6385e96be211c56 | [
"Apache-2.0"
] | 1 | 2020-08-09T12:47:27.000Z | 2020-08-09T12:47:27.000Z | PythonWeb/example/App/views.py | JimouChen/Python_Application | b7b16506a17e2c304d1c5fabd6385e96be211c56 | [
"Apache-2.0"
] | null | null | null | PythonWeb/example/App/views.py | JimouChen/Python_Application | b7b16506a17e2c304d1c5fabd6385e96be211c56 | [
"Apache-2.0"
] | null | null | null | from django.core.paginator import Paginator, PageNotAnInteger, EmptyPage
from django.http import HttpResponse
from django.shortcuts import render
# Create your views here.
from App.models import User, Movie
def home(request):
return render(request, 'app01/home.html')
def handle_data(request):
# 增加记录
# ... | 22.751323 | 72 | 0.594419 |
798846d2f7dce2efa4ce4622941cb7677b42b21c | 1,522 | py | Python | RiverToys/ConceptDriftExample.py | PenHsuanWang/IncrementalLearningE2EPlayground | c22708bdf4dd4ba8770dafe6e85f0481b34030fd | [
"Apache-2.0"
] | null | null | null | RiverToys/ConceptDriftExample.py | PenHsuanWang/IncrementalLearningE2EPlayground | c22708bdf4dd4ba8770dafe6e85f0481b34030fd | [
"Apache-2.0"
] | null | null | null | RiverToys/ConceptDriftExample.py | PenHsuanWang/IncrementalLearningE2EPlayground | c22708bdf4dd4ba8770dafe6e85f0481b34030fd | [
"Apache-2.0"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from matplotlib import gridspec
from river import drift
#Auxiliary function to plot the data
def plot_data(dist_a, dist_b, dist_c, drifts=None):
fig = plt.figure(figsize=(7,3), tight_layout=True)
gs = gridspec.GridSpec(1, 2, width_ratios=[3, 1])
ax1, ax2 ... | 34.590909 | 88 | 0.701708 |
798846f98de74b429e9b99efa3e673195388fa33 | 3,169 | py | Python | tensorflow/lite/testing/op_tests/pool3d.py | wainshine/tensorflow | dc7a8dc8546c679b9c7b3df7494ce4506bfc1a6d | [
"Apache-2.0"
] | 54 | 2017-06-17T14:07:48.000Z | 2022-03-29T02:11:20.000Z | tensorflow/lite/testing/op_tests/pool3d.py | wainshine/tensorflow | dc7a8dc8546c679b9c7b3df7494ce4506bfc1a6d | [
"Apache-2.0"
] | 19 | 2021-12-28T12:44:55.000Z | 2022-01-13T08:11:28.000Z | tensorflow/lite/testing/op_tests/pool3d.py | wainshine/tensorflow | dc7a8dc8546c679b9c7b3df7494ce4506bfc1a6d | [
"Apache-2.0"
] | 11 | 2018-04-19T22:36:01.000Z | 2021-08-02T08:44:43.000Z | # Copyright 2021 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... | 35.211111 | 80 | 0.665825 |
798847af364915a7bfadb576b79e1c56a6fada42 | 1,037 | py | Python | window/oneImage.py | DragonGongY/mmdet-ui | 41582b0ee2b3d9c631ee48540ca8a6d87be362e0 | [
"Apache-2.0"
] | 1 | 2021-12-24T05:28:20.000Z | 2021-12-24T05:28:20.000Z | window/oneImage.py | DragonGongY/mmdet-ui | 41582b0ee2b3d9c631ee48540ca8a6d87be362e0 | [
"Apache-2.0"
] | null | null | null | window/oneImage.py | DragonGongY/mmdet-ui | 41582b0ee2b3d9c631ee48540ca8a6d87be362e0 | [
"Apache-2.0"
] | null | null | null | from argparse import ArgumentParser
from mmdet.apis import inference_detector, init_detector, show_result_pyplot
def one_image(img, config, checkpoint, score_thr, score_bbox):
parser = ArgumentParser()
parser.add_argument('--img', default=img, help='Image file')
parser.add_argument('--config', default=c... | 37.035714 | 83 | 0.720347 |
7988499e1e4c05ecc94fcf4fa4f284e83a132799 | 3,033 | py | Python | utils/warmup_scheduler.py | Outflier/nerf_pl | b8d97627f68138437b42fe6751b7817020cf0f55 | [
"MIT"
] | null | null | null | utils/warmup_scheduler.py | Outflier/nerf_pl | b8d97627f68138437b42fe6751b7817020cf0f55 | [
"MIT"
] | null | null | null | utils/warmup_scheduler.py | Outflier/nerf_pl | b8d97627f68138437b42fe6751b7817020cf0f55 | [
"MIT"
] | null | null | null | from torch.optim.lr_scheduler import _LRScheduler
from torch.optim.lr_scheduler import ReduceLROnPlateau
class GradualWarmupScheduler(_LRScheduler):
""" Gradually warm-up(increasing) learning rate in optimizer.
Proposed in 'Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour'.
Args:
optimiz... | 40.986486 | 143 | 0.594131 |
79884a3f3ea4edb291a9598dbc5efb7138132f7f | 4,916 | py | Python | synchrophasor/utils.py | aleneus/pypmu | 66e6c495a91efb8a6018061ff7955a6654b1404d | [
"BSD-3-Clause"
] | 50 | 2016-03-30T18:48:34.000Z | 2022-03-11T01:41:37.000Z | synchrophasor/utils.py | aleneus/pypmu | 66e6c495a91efb8a6018061ff7955a6654b1404d | [
"BSD-3-Clause"
] | 32 | 2017-10-20T06:52:38.000Z | 2022-03-18T14:13:03.000Z | synchrophasor/utils.py | aleneus/pypmu | 66e6c495a91efb8a6018061ff7955a6654b1404d | [
"BSD-3-Clause"
] | 36 | 2016-05-17T19:43:14.000Z | 2022-03-17T18:37:22.000Z | ##############################################################################
#
# Copyright (C) Gennady Trafimenkov, 2011
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, ei... | 42.017094 | 84 | 0.644426 |
79884b16dbb390267bcc5b10e8d5070c1b40c1c6 | 119 | py | Python | plume/__init__.py | mcflugen/plume | 7fc65ba9461fece372eef4b2bee9ba6e72f42d19 | [
"MIT"
] | null | null | null | plume/__init__.py | mcflugen/plume | 7fc65ba9461fece372eef4b2bee9ba6e72f42d19 | [
"MIT"
] | null | null | null | plume/__init__.py | mcflugen/plume | 7fc65ba9461fece372eef4b2bee9ba6e72f42d19 | [
"MIT"
] | 1 | 2018-08-30T17:32:26.000Z | 2018-08-30T17:32:26.000Z | from .plume import Plume
from ._version import get_versions
__version__ = get_versions()['version']
del get_versions
| 17 | 39 | 0.798319 |
79884b5ef60c42fabfd502214dd6428f09179300 | 934 | py | Python | test/test_modify_group_by_index.py | OlgaZtv/python_training | 661165613ef4b9545345a8a2c61a894571ded703 | [
"Apache-2.0"
] | null | null | null | test/test_modify_group_by_index.py | OlgaZtv/python_training | 661165613ef4b9545345a8a2c61a894571ded703 | [
"Apache-2.0"
] | null | null | null | test/test_modify_group_by_index.py | OlgaZtv/python_training | 661165613ef4b9545345a8a2c61a894571ded703 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from model.group import Group
from random import randrange
def test_modify_group_name(app):
if app.group.count() == 0:
app.group.create(Group(name="test"))
old_groups = app.group.get_group_list()
index = randrange(len(old_groups))
group = Group(name="New group")
grou... | 33.357143 | 93 | 0.691649 |
79884ba3c98372f7e047d18ff1a22fd1a798344e | 14,340 | py | Python | tests/test_cross_section.py | karldw/conleySE | 4fb680106896786a6068b7f347f98ce97a08197e | [
"BSD-3-Clause"
] | null | null | null | tests/test_cross_section.py | karldw/conleySE | 4fb680106896786a6068b7f347f98ce97a08197e | [
"BSD-3-Clause"
] | null | null | null | tests/test_cross_section.py | karldw/conleySE | 4fb680106896786a6068b7f347f98ce97a08197e | [
"BSD-3-Clause"
] | null | null | null |
# coding: utf-8
import numpy as np
from distance import great_circle
from core import cross_section as conley_cross_section
from core import (CutoffError, get_kernel_fn,
_neighbors_to_sparse_uniform, _neighbors_to_sparse_nonuniform)
from numpy.testing import assert_allclose
from hypothesis import giv... | 42.551929 | 100 | 0.658159 |
79884c92749657cfe9421271a756963ab9572eeb | 3,049 | py | Python | python/pytest/test_dataset.py | bbayukari/abess | 3b21b0a58cac6c1464ec9403ffbe4902fee7b890 | [
"Intel"
] | null | null | null | python/pytest/test_dataset.py | bbayukari/abess | 3b21b0a58cac6c1464ec9403ffbe4902fee7b890 | [
"Intel"
] | null | null | null | python/pytest/test_dataset.py | bbayukari/abess | 3b21b0a58cac6c1464ec9403ffbe4902fee7b890 | [
"Intel"
] | null | null | null | import pytest
import numpy as np
import abess
from utilities import assert_shape
@pytest.mark.filterwarnings("ignore")
class TestOther:
"""
Test for other modules in abess package.
Include: `abess.datasets`
"""
@staticmethod
def test_glm():
np.random.seed(123)
n = 100
... | 28.764151 | 78 | 0.465726 |
79884cfaa2939435cf3d57d5d0e519e18c0c1311 | 2,599 | py | Python | plugins/commands.py | robin2255/aryastark | 6f90ae32a1a5af893ccb73ee326462d8e2dfaf7e | [
"MIT"
] | null | null | null | plugins/commands.py | robin2255/aryastark | 6f90ae32a1a5af893ccb73ee326462d8e2dfaf7e | [
"MIT"
] | null | null | null | plugins/commands.py | robin2255/aryastark | 6f90ae32a1a5af893ccb73ee326462d8e2dfaf7e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @trojanzhex
from pyrogram import Client, filters
from pyrogram.types import InlineKeyboardMarkup, InlineKeyboardButton
from script import script
@Client.on_message(filters.command(["start"]) & filters.private)
async def start(client, message):
try:
await ... | 32.898734 | 90 | 0.504425 |
79884e9fb5cf3377524abeecd05a070793054ccf | 23,842 | py | Python | sdk/network/azure-mgmt-network/azure/mgmt/network/v2019_12_01/operations/_express_route_circuit_connections_operations.py | beltr0n/azure-sdk-for-python | 2f7fb8bee881b0fc0386a0ad5385755ceedd0453 | [
"MIT"
] | 2 | 2021-03-24T06:26:11.000Z | 2021-04-18T15:55:59.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2019_12_01/operations/_express_route_circuit_connections_operations.py | beltr0n/azure-sdk-for-python | 2f7fb8bee881b0fc0386a0ad5385755ceedd0453 | [
"MIT"
] | 4 | 2019-04-17T17:57:49.000Z | 2020-04-24T21:11:22.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2019_12_01/operations/_express_route_circuit_connections_operations.py | beltr0n/azure-sdk-for-python | 2f7fb8bee881b0fc0386a0ad5385755ceedd0453 | [
"MIT"
] | 2 | 2021-05-23T16:46:31.000Z | 2021-05-26T23:51:09.000Z | # 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 may ... | 51.16309 | 249 | 0.671252 |
79884f0588e80ccd434daae62f37d83b97063cd2 | 516 | py | Python | ticketing/migrations/0006_auto_20180731_0015.py | autlamps/tessera-backend | 1d02e8e3651c1ad75bdf4e5d0e61765a2a6de0c2 | [
"MIT"
] | null | null | null | ticketing/migrations/0006_auto_20180731_0015.py | autlamps/tessera-backend | 1d02e8e3651c1ad75bdf4e5d0e61765a2a6de0c2 | [
"MIT"
] | 1 | 2018-08-14T03:15:00.000Z | 2018-08-21T00:33:34.000Z | ticketing/migrations/0006_auto_20180731_0015.py | autlamps/tessera-backend | 1d02e8e3651c1ad75bdf4e5d0e61765a2a6de0c2 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.4 on 2018-07-31 00:15
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('ticketing', '0005_merge_20180717_0134'),
]
operations = [
migrations.AlterField(
model_name='ba... | 25.8 | 136 | 0.660853 |
79884f21a6fa544a43fdbe8b8901812f024c127c | 736 | py | Python | Lib/idlelib/idle_test/test_calltips.py | Flowerowl/Python2.7.6 | b1f762257a643ee7ad2abae8ac351054ee57498f | [
"PSF-2.0"
] | 36 | 2015-02-12T06:44:29.000Z | 2021-08-08T06:07:15.000Z | BitmessageKit/Vendor/static-python/Lib/idlelib/idle_test/test_calltips.py | VoluntaryLabs/BitmessageKit | dd634977a629ab4dec184e12bb6324cc01149ba3 | [
"MIT"
] | 1 | 2019-09-24T13:09:22.000Z | 2019-09-24T13:09:22.000Z | BitmessageKit/Vendor/static-python/Lib/idlelib/idle_test/test_calltips.py | VoluntaryLabs/BitmessageKit | dd634977a629ab4dec184e12bb6324cc01149ba3 | [
"MIT"
] | 5 | 2016-01-26T23:52:02.000Z | 2022-01-26T21:10:11.000Z | import unittest
import idlelib.CallTips as ct
CTi = ct.CallTips()
class Get_entityTest(unittest.TestCase):
# In 3.x, get_entity changed from 'instance method' to module function
# since 'self' not used. Use dummy instance until change 2.7 also.
def test_bad_entity(self):
self.assertIsNone(CTi.get_e... | 35.047619 | 77 | 0.682065 |
79884f60e6c993aeae39d4e87202728f8558de0c | 2,948 | py | Python | implementation/datasetloader.py | DKuva/projclfimg1819 | 58f799b69f50edfff651b789287a33ef9a0477b8 | [
"MIT"
] | null | null | null | implementation/datasetloader.py | DKuva/projclfimg1819 | 58f799b69f50edfff651b789287a33ef9a0477b8 | [
"MIT"
] | null | null | null | implementation/datasetloader.py | DKuva/projclfimg1819 | 58f799b69f50edfff651b789287a33ef9a0477b8 | [
"MIT"
] | null | null | null | import os
import matplotlib.pyplot as plt
import numpy as np
import cv2
import csv
def get_images_and_labels(datadir,train_data,imtype=-1,bgr2rgb=False,resolution=(0,0),crop=False):
'''
Reads traffic sign data for German Traffic Sign Recognition Benchmark.
Arguments:
datadir -- path to the tra... | 32.755556 | 98 | 0.546811 |
79884f765025ba1f38fef6c090e688c99c551c07 | 124 | py | Python | test_package/conanfile.py | ccaughie/conan-yasm_installer | 0ef1efba018526212a376ffa42434bc0e73be0cb | [
"MIT"
] | null | null | null | test_package/conanfile.py | ccaughie/conan-yasm_installer | 0ef1efba018526212a376ffa42434bc0e73be0cb | [
"MIT"
] | null | null | null | test_package/conanfile.py | ccaughie/conan-yasm_installer | 0ef1efba018526212a376ffa42434bc0e73be0cb | [
"MIT"
] | 2 | 2019-02-08T16:18:16.000Z | 2019-07-18T19:24:55.000Z | from conans import ConanFile
import os
class TestPackage(ConanFile):
def test(self):
self.run("yasm --help")
| 13.777778 | 31 | 0.677419 |
798850a498bf03b73d9706702ed5c14e1fce99ab | 213 | py | Python | app/task.py | FromZeus/sample-task | 2ddb00a260496918d9807c7556d533a5e1c577cf | [
"Apache-2.0"
] | 1 | 2017-11-02T11:37:03.000Z | 2017-11-02T11:37:03.000Z | app/task.py | FromZeus/drweb | 2ddb00a260496918d9807c7556d533a5e1c577cf | [
"Apache-2.0"
] | null | null | null | app/task.py | FromZeus/drweb | 2ddb00a260496918d9807c7556d533a5e1c577cf | [
"Apache-2.0"
] | null | null | null | from datetime import datetime
import time
import random
def run(task_model):
time.sleep(random.randint(0, task_model.difficulty))
return task_model, {"end_time": datetime.utcnow(), "status": "Complete"}
| 23.666667 | 76 | 0.746479 |
79885127eca547999d8dddec25197569e777dfae | 1,487 | py | Python | server/apps/main/urls.py | badgermind/AutSPACEs | 26968ffc6304d9868eb85ad9bdd28a440ec11692 | [
"MIT"
] | 13 | 2021-04-03T12:40:19.000Z | 2021-12-29T09:03:11.000Z | server/apps/main/urls.py | badgermind/AutSPACEs | 26968ffc6304d9868eb85ad9bdd28a440ec11692 | [
"MIT"
] | 112 | 2021-04-01T20:55:52.000Z | 2022-03-02T09:25:58.000Z | server/apps/main/urls.py | mridubhatnagar/AutSPACEs | 05f67b39a355c4796c2e174152fe98e5d157b904 | [
"MIT"
] | 8 | 2021-03-11T13:50:31.000Z | 2021-03-29T17:20:38.000Z | from django.conf.urls import url
from django.urls import path
from server.apps.main import views
app_name = 'main'
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^signup/?$', views.signup, name='signup'),
url(r'^signup1/?$', views.signup_frame4_test, name='signup_frame4_test'),
url(r'^l... | 39.131579 | 78 | 0.667115 |
798852a4c4c2a111a56ecf45a88a814c5fc031ed | 35,669 | py | Python | airflow/configuration.py | Pverheijen/airflow | 13a827d80fef738e25f30ea20c095ad4dbd401f6 | [
"Apache-2.0"
] | 1 | 2020-08-20T02:00:27.000Z | 2020-08-20T02:00:27.000Z | airflow/configuration.py | Pverheijen/airflow | 13a827d80fef738e25f30ea20c095ad4dbd401f6 | [
"Apache-2.0"
] | 9 | 2021-03-01T21:20:13.000Z | 2022-03-29T22:28:14.000Z | airflow/configuration.py | vuppalli/airflow | dfe8337ca2d3ed173d9ecc112938271519792c40 | [
"Apache-2.0"
] | 2 | 2020-03-08T14:12:55.000Z | 2020-06-10T10:17:32.000Z |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not ... | 40.077528 | 110 | 0.626875 |
798852ad56fc4225b24490b48083abec144f8b75 | 3,815 | py | Python | geomstats/geometry/product_riemannian_metric.py | opeltre/geomstats | 135d5bb6f19e29dd453c68399e04100a9e2c76bf | [
"MIT"
] | null | null | null | geomstats/geometry/product_riemannian_metric.py | opeltre/geomstats | 135d5bb6f19e29dd453c68399e04100a9e2c76bf | [
"MIT"
] | null | null | null | geomstats/geometry/product_riemannian_metric.py | opeltre/geomstats | 135d5bb6f19e29dd453c68399e04100a9e2c76bf | [
"MIT"
] | null | null | null | """
Product of Riemannian metrics.
"""
import geomstats.backend as gs
from geomstats.geometry.riemannian_metric import RiemannianMetric
EPSILON = 1e-5
# TODO(nina): unit tests
class ProductRiemannianMetric(RiemannianMetric):
"""
Class for product of Riemannian metrics.
"""
def __init__(self, metri... | 33.761062 | 76 | 0.569332 |
798853d5ca7ffede58a4af0f2edf565768d84610 | 14,172 | py | Python | salt/states/win_wua.py | olivier-mauras/salt | a6483b1b39705401fc6143a7abab13d046bd55de | [
"Apache-2.0"
] | null | null | null | salt/states/win_wua.py | olivier-mauras/salt | a6483b1b39705401fc6143a7abab13d046bd55de | [
"Apache-2.0"
] | null | null | null | salt/states/win_wua.py | olivier-mauras/salt | a6483b1b39705401fc6143a7abab13d046bd55de | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Installation of Windows Updates using the Windows Update Agent
.. versionadded:: 2017.7.0
Salt can manage Windows updates via the "wua" state module. Updates can be
installed and removed. Update management declarations are as follows:
For installation:
.. code-block:: yaml
# Install... | 28.063366 | 122 | 0.583051 |
798854b8cf97e656cb9f90d7823ac7f40e9e8cfd | 4,475 | py | Python | atm/checks/poi_based.py | gina-alaska/arctic_thermokarst_model | 7a3dbedb72b133670bb6e476fc3f5788bbcdbca4 | [
"MIT"
] | null | null | null | atm/checks/poi_based.py | gina-alaska/arctic_thermokarst_model | 7a3dbedb72b133670bb6e476fc3f5788bbcdbca4 | [
"MIT"
] | null | null | null | atm/checks/poi_based.py | gina-alaska/arctic_thermokarst_model | 7a3dbedb72b133670bb6e476fc3f5788bbcdbca4 | [
"MIT"
] | null | null | null | """
POI Based transition
--------------------
Transition functions for POI based changes in area
"""
import numpy as np
import functions
# import matplotlib.pyplot as plt
def transition (name, year, grids, control):
"""This checks for any area in the cohort 'name' that should be transitioned
to the next cohor... | 35.23622 | 96 | 0.643128 |
7988553d1f7df9cfcb87108776aac0771e40061b | 15,845 | py | Python | web/portal/views.py | LSSTDESC/desc-data-portal | 7e88452f8f69d4a1a3b0eb50f5ef947b5c41a272 | [
"BSD-3-Clause"
] | 7 | 2021-01-13T15:50:41.000Z | 2022-01-31T18:36:35.000Z | web/portal/views.py | LSSTDESC/desc-data-portal | 7e88452f8f69d4a1a3b0eb50f5ef947b5c41a272 | [
"BSD-3-Clause"
] | 66 | 2021-01-12T16:39:12.000Z | 2022-03-30T23:06:21.000Z | web/portal/views.py | LSSTDESC/desc-data-portal | 7e88452f8f69d4a1a3b0eb50f5ef947b5c41a272 | [
"BSD-3-Clause"
] | 2 | 2021-01-21T15:41:43.000Z | 2021-06-24T19:00:42.000Z | import requests
from flask import (abort, flash, redirect, render_template, request, session,
url_for)
from globus_sdk import (RefreshTokenAuthorizer, TransferAPIError,
TransferClient, TransferData)
from portal import app, database, datasets
from portal.decorators import auth... | 36.425287 | 168 | 0.620827 |
798855f22ca9c84c64fd3656d17f3fc76a942f5b | 624 | py | Python | src/data/normalize_column.py | steffen-jung/movie-mining | d49a6d6b9a6c632ea748fc582c2576b71fab9074 | [
"MIT"
] | 13 | 2017-12-02T11:09:35.000Z | 2021-12-19T10:23:20.000Z | src/data/normalize_column.py | steffen-jung/movie-mining | d49a6d6b9a6c632ea748fc582c2576b71fab9074 | [
"MIT"
] | 9 | 2017-11-09T09:12:48.000Z | 2017-11-26T15:34:42.000Z | src/data/normalize_column.py | yOoMarvin/movie-mining | d49a6d6b9a6c632ea748fc582c2576b71fab9074 | [
"MIT"
] | 4 | 2017-11-30T18:34:40.000Z | 2020-10-15T07:30:11.000Z | import pandas as pd
from sklearn import preprocessing
import numpy as np
# this method removes the initial column and replaces it with the normalized column
def normalize_column_data(df, column_name):
x = df[column_name].astype(np.float64)
x = x.values.reshape(-1, 1)
# Create a minimum and maximum proce... | 29.714286 | 83 | 0.748397 |
7988562f1be6df9986df15c3aee596a85cc5ded3 | 74,662 | py | Python | apps/questionnaire/utils.py | baggids/qcat | 2a4a826b3f78c279c88b5bc9282deabb565a7aba | [
"Apache-2.0"
] | null | null | null | apps/questionnaire/utils.py | baggids/qcat | 2a4a826b3f78c279c88b5bc9282deabb565a7aba | [
"Apache-2.0"
] | null | null | null | apps/questionnaire/utils.py | baggids/qcat | 2a4a826b3f78c279c88b5bc9282deabb565a7aba | [
"Apache-2.0"
] | null | null | null | import ast
import json
import logging
from uuid import UUID
from django.apps import apps
from django.contrib import messages
from django.db import IntegrityError
from django.db.models import Q
from django.db.models.signals import pre_save
from django.template.loader import render_to_string
from django.shortcuts import... | 39.357934 | 111 | 0.580684 |
798856e6f4c37ee1aad912e701a7eac942c1639e | 3,205 | py | Python | tests/print_qstats_test.py | julesmuhizi/qkeras | eec5a4a9f1930d0ee51319ab7363dd038a6e68c5 | [
"Apache-2.0"
] | 388 | 2019-08-06T22:16:48.000Z | 2022-03-30T17:17:47.000Z | tests/print_qstats_test.py | julesmuhizi/qkeras | eec5a4a9f1930d0ee51319ab7363dd038a6e68c5 | [
"Apache-2.0"
] | 76 | 2019-08-21T19:25:58.000Z | 2022-03-31T09:07:07.000Z | tests/print_qstats_test.py | julesmuhizi/qkeras | eec5a4a9f1930d0ee51319ab7363dd038a6e68c5 | [
"Apache-2.0"
] | 79 | 2019-08-15T03:00:02.000Z | 2022-03-31T09:05:11.000Z | # 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 28.362832 | 80 | 0.663339 |
798857a03f0151949b20ec52a7b1c2f193ff8070 | 14,953 | py | Python | BitTornado/Meta/Info.py | alahoo/BitTornado | 02a25579e83d907623b5451473de41d1e01ce150 | [
"MIT"
] | 116 | 2015-01-24T23:29:05.000Z | 2022-02-06T11:05:55.000Z | BitTornado/Meta/Info.py | alahoo/BitTornado | 02a25579e83d907623b5451473de41d1e01ce150 | [
"MIT"
] | 39 | 2015-02-09T15:26:01.000Z | 2019-01-11T07:14:21.000Z | BitTornado/Meta/Info.py | alahoo/BitTornado | 02a25579e83d907623b5451473de41d1e01ce150 | [
"MIT"
] | 44 | 2015-02-07T08:47:46.000Z | 2021-05-17T13:22:54.000Z | """Generate metafile data for use in BitTorrent applications
These data structures are generalizations of the original BitTorrent and
BitTornado makemetafile.py behaviors.
"""
import os
import re
import time
import hashlib
from ..Types import TypedDict, TypedList, SplitList
from .bencode import BencodedFile
def get... | 35.349882 | 78 | 0.557413 |
79885895beaf8ee00f0004da7f1232c1f5be9db5 | 32,919 | py | Python | firmware_tools/vxhunter_r2_py3.py | FiniteStateInc/vxhunter | aaacf453dc77180012da8de13e25a2ebb6688fab | [
"BSD-2-Clause"
] | null | null | null | firmware_tools/vxhunter_r2_py3.py | FiniteStateInc/vxhunter | aaacf453dc77180012da8de13e25a2ebb6688fab | [
"BSD-2-Clause"
] | null | null | null | firmware_tools/vxhunter_r2_py3.py | FiniteStateInc/vxhunter | aaacf453dc77180012da8de13e25a2ebb6688fab | [
"BSD-2-Clause"
] | 2 | 2020-03-23T19:12:46.000Z | 2020-12-22T17:08:32.000Z | # !/usr/bin/env python3
# coding=utf-8
import logging
import struct
import r2pipe
import sys
default_check_count = 100
known_address = [0x80002000, 0x10000, 0x1000, 0xf2003fe4, 0x100000, 0x107fe0]
function_name_key_words = [b'bzero', b'usrInit', b'bfill']
# VxWorks 5.5
vx_5_sym_types = [
# 0x00, # Undefine... | 38.277907 | 152 | 0.566876 |
798859088cb7e27912d71ca5f3d16d0c115f5edb | 413 | py | Python | letraspotengienses/wsgi.py | PedrinaBrasil/PortalLetrasPotengienses | 89e12200a626583d938352859cabc2aff914bbc9 | [
"Apache-2.0"
] | null | null | null | letraspotengienses/wsgi.py | PedrinaBrasil/PortalLetrasPotengienses | 89e12200a626583d938352859cabc2aff914bbc9 | [
"Apache-2.0"
] | null | null | null | letraspotengienses/wsgi.py | PedrinaBrasil/PortalLetrasPotengienses | 89e12200a626583d938352859cabc2aff914bbc9 | [
"Apache-2.0"
] | null | null | null | """
WSGI config for LetrasPotengienses project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('D... | 24.294118 | 78 | 0.79661 |
798859f2b9415e5d9cc2919a28bc123af61f034e | 214 | py | Python | jharyo/present.py | grnydawn/jharyo | 2b66bb79995d5ebb1ceaeaa3fbb07f133ec8b8b3 | [
"BSD-3-Clause"
] | null | null | null | jharyo/present.py | grnydawn/jharyo | 2b66bb79995d5ebb1ceaeaa3fbb07f133ec8b8b3 | [
"BSD-3-Clause"
] | null | null | null | jharyo/present.py | grnydawn/jharyo | 2b66bb79995d5ebb1ceaeaa3fbb07f133ec8b8b3 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""Jharyo data presentor module."""
from __future__ import absolute_import, division, print_function
# TODO: present_data is a factory function
def present_data(data, ns, args):
pass
| 21.4 | 64 | 0.724299 |
79885b78bc957092c07bcdf528c87a1b20a4fab1 | 435 | py | Python | Cell.py | belous-dp/Conways-Game-of-Life | 6f729fa809c1784891ac16ccc811e51ff5e6d9c0 | [
"MIT"
] | null | null | null | Cell.py | belous-dp/Conways-Game-of-Life | 6f729fa809c1784891ac16ccc811e51ff5e6d9c0 | [
"MIT"
] | null | null | null | Cell.py | belous-dp/Conways-Game-of-Life | 6f729fa809c1784891ac16ccc811e51ff5e6d9c0 | [
"MIT"
] | null | null | null | from dataclasses import dataclass # чтобы не писать __init__
@dataclass
class Cell:
val: bool = False
sum: int = 0
# В принципе мало какие из этих методов нужны, но раз уж создавать отдельный класс для bool'а, то давайте как-нибудь
# пафосно назовём их
def is_alive(self):
return self.val... | 22.894737 | 120 | 0.664368 |
79885b78ce6aaeadbad5976e8dc1e05aa75080f8 | 4,658 | py | Python | kubernetes/client/models/v1_role_ref.py | redjohn/python | 5e512ff564c244c50cab780d821542ed56aa965a | [
"Apache-2.0"
] | 1 | 2019-04-14T23:51:35.000Z | 2019-04-14T23:51:35.000Z | kubernetes/client/models/v1_role_ref.py | redjohn/python | 5e512ff564c244c50cab780d821542ed56aa965a | [
"Apache-2.0"
] | null | null | null | kubernetes/client/models/v1_role_ref.py | redjohn/python | 5e512ff564c244c50cab780d821542ed56aa965a | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.14.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re... | 25.043011 | 105 | 0.542293 |
79885b7e66131a65d58c5ac6d24e1f3f5972bbaa | 156 | py | Python | virtual/bin/django-admin.py | iankabugi/instaclone | c1948fce71881a4e8004cfe117f6c48ba49faf53 | [
"MIT"
] | null | null | null | virtual/bin/django-admin.py | iankabugi/instaclone | c1948fce71881a4e8004cfe117f6c48ba49faf53 | [
"MIT"
] | null | null | null | virtual/bin/django-admin.py | iankabugi/instaclone | c1948fce71881a4e8004cfe117f6c48ba49faf53 | [
"MIT"
] | null | null | null | #!/home/ian/Desktop/instaclone/virtual/bin/python
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| 26 | 49 | 0.788462 |
79885bb4570c4b4de8e950ca2988860f4eb9440b | 11,578 | py | Python | modelseedpy/fbapkg/flexiblebiomasspkg.py | freiburgermsu/ModelSEEDpy | f368354f99ddfe0b9f5ac0c8b2de72a89ccb6016 | [
"MIT"
] | 5 | 2021-06-22T18:22:29.000Z | 2022-03-02T02:17:49.000Z | modelseedpy/fbapkg/flexiblebiomasspkg.py | freiburgermsu/ModelSEEDpy | f368354f99ddfe0b9f5ac0c8b2de72a89ccb6016 | [
"MIT"
] | 8 | 2021-06-18T07:12:48.000Z | 2022-03-30T15:35:06.000Z | modelseedpy/fbapkg/flexiblebiomasspkg.py | freiburgermsu/ModelSEEDpy | f368354f99ddfe0b9f5ac0c8b2de72a89ccb6016 | [
"MIT"
] | 7 | 2021-05-05T22:54:01.000Z | 2022-03-11T10:18:43.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import
import logging
from optlang.symbolics import Zero, add
from cobra import Model, Reaction, Metabolite
from modelseedpy.fbapkg.basefbapkg import BaseFBAPkg
from modelseedpy.core.fbahelper import FBAHelper
classes = {
"rna":{"cpd00052":-1,"cpd00038":-1,... | 59.989637 | 296 | 0.564778 |
79885c4bf73c6c2612110671dbd81764308f3025 | 6,704 | py | Python | common/des.py | garrickvan/blog | e7b9a729327f2a858b6380ed6b81eeb2980766ff | [
"Apache-2.0"
] | 1 | 2020-05-25T23:02:44.000Z | 2020-05-25T23:02:44.000Z | common/des.py | garrickvan/blog | e7b9a729327f2a858b6380ed6b81eeb2980766ff | [
"Apache-2.0"
] | null | null | null | common/des.py | garrickvan/blog | e7b9a729327f2a858b6380ed6b81eeb2980766ff | [
"Apache-2.0"
] | null | null | null | #coding=utf-8
from functools import partial
class DES(object):
"""
DES加密算法
interface: input_key(s, base=10), encode(s), decode(s)
"""
__ip = [
58,50,42,34,26,18,10,2,60,52,44,36,28,20,12,4,
62,54,46,38,30,22,14,6,64,56,48,40,32,24,16,8,
57,49,41,33,25,17, 9,1,59,51,43,35,27,... | 35.284211 | 91 | 0.520286 |
79885c8bbd34701020746469486aaa3e94c20700 | 1,084 | py | Python | 05_face_verification/evaluation.py | yeodongbin/2020AIChallengeCode | 776c686b65a67bc0d71eed1118eed6cf45ea17c6 | [
"MIT"
] | null | null | null | 05_face_verification/evaluation.py | yeodongbin/2020AIChallengeCode | 776c686b65a67bc0d71eed1118eed6cf45ea17c6 | [
"MIT"
] | null | null | null | 05_face_verification/evaluation.py | yeodongbin/2020AIChallengeCode | 776c686b65a67bc0d71eed1118eed6cf45ea17c6 | [
"MIT"
] | null | null | null | import argparse
import numpy as np
import sklearn.metrics
def evaluate(prediction_labels, gt_labels):
f1 = sklearn.metrics.f1_score(gt_labels,prediction_labels, pos_label='0')
return f1
def read_prediction_pt(file_name):
with open(file_name) as f:
lines = f.readlines()
pt = [list(l.replace("\... | 27.794872 | 77 | 0.706642 |
79885daf98163c4785486cb74bae91e6a2898270 | 11,554 | py | Python | vidgear/tests/writer_tests/test_compression_mode.py | enarche-ahn/vidgear | 6900fd9f607b8216f9328d1d8877c2c9c1b470b5 | [
"Apache-2.0"
] | null | null | null | vidgear/tests/writer_tests/test_compression_mode.py | enarche-ahn/vidgear | 6900fd9f607b8216f9328d1d8877c2c9c1b470b5 | [
"Apache-2.0"
] | null | null | null | vidgear/tests/writer_tests/test_compression_mode.py | enarche-ahn/vidgear | 6900fd9f607b8216f9328d1d8877c2c9c1b470b5 | [
"Apache-2.0"
] | null | null | null | """
===============================================
vidgear library source-code is deployed under the Apache 2.0 License:
Copyright (c) 2019 Abhishek Thakur(@abhiTronix) <abhi.una12@gmail.com>
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with th... | 31.05914 | 107 | 0.565605 |
79885de73e0d2d212ed362383adce02b5c61d6b7 | 492 | py | Python | tests/test_data/tilesets/image_background_color/expected.py | Beefy-Swain/pytiled_parser | ba959ded16749136563fe6aafbdcdf2129c04eb0 | [
"MIT"
] | 13 | 2019-05-01T01:22:08.000Z | 2020-11-12T05:37:59.000Z | tests/test_data/tilesets/image_background_color/expected.py | pythonarcade/pytiled_parser | 2308428a5e87ae8de8946c62961ceb6cba9162ec | [
"MIT"
] | 30 | 2019-05-27T20:07:08.000Z | 2021-06-12T20:52:31.000Z | tests/test_data/tilesets/image_background_color/expected.py | pythonarcade/pytiled_parser | 2308428a5e87ae8de8946c62961ceb6cba9162ec | [
"MIT"
] | 15 | 2019-05-02T17:57:42.000Z | 2021-04-12T01:56:26.000Z | from pathlib import Path
from pytiled_parser import tileset
from pytiled_parser.common_types import Color
EXPECTED = tileset.Tileset(
columns=8,
image=Path("../../images/tmw_desert_spacing.png"),
image_height=199,
image_width=265,
firstgid=1,
margin=1,
spacing=1,
name="tile_set_image",... | 21.391304 | 54 | 0.676829 |
79885debc655a4d2531913903a3be5cb8542b21f | 7,092 | py | Python | mush/tests/test_dependencies.py | cjw296/mush | 909d6bf7575ac2b778653b8eedc768f9962f0a56 | [
"MIT"
] | null | null | null | mush/tests/test_dependencies.py | cjw296/mush | 909d6bf7575ac2b778653b8eedc768f9962f0a56 | [
"MIT"
] | null | null | null | mush/tests/test_dependencies.py | cjw296/mush | 909d6bf7575ac2b778653b8eedc768f9962f0a56 | [
"MIT"
] | null | null | null | from unittest import TestCase
from mock import Mock, call
from testfixtures import ShouldRaise, compare
from mush import Runner, requires, first, last, attr, item, after
class RunnerTests(TestCase):
def test_simple_chain(self):
m = Mock()
class T1(object): pass
class T2(object): ... | 24.040678 | 65 | 0.433446 |
79885e4f616c900d78328f0b6c7f1955c49a238c | 9,340 | py | Python | openmdao.lib/src/openmdao/lib/drivers/test/test_opt_genetic.py | Kenneth-T-Moore/OpenMDAO-Framework | 76e0ebbd6f424a03b547ff7b6039dea73d8d44dc | [
"Apache-2.0"
] | 3 | 2015-06-02T00:36:28.000Z | 2018-11-03T00:35:21.000Z | openmdao.lib/src/openmdao/lib/drivers/test/test_opt_genetic.py | JustinSGray/OpenMDAO-Framework | 7ebd7fda0b10fbe8a86ae938dc4f135396dd9759 | [
"Apache-2.0"
] | null | null | null | openmdao.lib/src/openmdao/lib/drivers/test/test_opt_genetic.py | JustinSGray/OpenMDAO-Framework | 7ebd7fda0b10fbe8a86ae938dc4f135396dd9759 | [
"Apache-2.0"
] | null | null | null | """
Test the genetic optimizer driver
"""
import logging
import pkg_resources
import sys
import unittest
import random
from openmdao.lib.datatypes.api import Float, Array, Enum, Int, Str
from pyevolve import Selectors
from openmdao.main.api import Assembly, Component, set_as_top
from openmdao.lib.drivers.genetic im... | 33.84058 | 114 | 0.599572 |
79885f26a50f3c3b11f73452e5dcd28670f601c8 | 1,323 | py | Python | mmdet/core/core/bbox/geometry.py | qgh1223/SLRDet | f63335e9626067b462ad548c98f986e0d33addf9 | [
"Apache-2.0"
] | 27 | 2019-11-20T07:34:15.000Z | 2022-03-04T01:02:33.000Z | mmdet/core/core/bbox/geometry.py | qgh1223/SLRDet | f63335e9626067b462ad548c98f986e0d33addf9 | [
"Apache-2.0"
] | 5 | 2019-12-03T13:16:02.000Z | 2020-01-16T08:59:53.000Z | mmdet/core/core/bbox/geometry.py | LUCKMOONLIGHT/SLRDet | f63335e9626067b462ad548c98f986e0d33addf9 | [
"Apache-2.0"
] | 5 | 2019-12-03T12:21:36.000Z | 2021-12-17T12:37:08.000Z | import torch
# from mmdet.ops.nms.rotated_overlap import get_iou_matrix
from mmdet.ops.rotated.rotate_nms import rotate_iou as get_iou_matrix
def bbox_overlaps(bboxes1, bboxes2, mode='iou', is_aligned=False):
"""Calculate overlap between two set of bboxes.
If ``is_aligned`` is ``False``, then calculate t... | 33.923077 | 80 | 0.624339 |
79885f9713f3c171cccb01dfb3d8e465370020e8 | 385 | py | Python | luna/asgi.py | avrilmaomao/lunakeeper | 95c55007e703edea0bc39455b4bf0ff60d4914d8 | [
"MIT"
] | 1 | 2021-09-01T01:29:20.000Z | 2021-09-01T01:29:20.000Z | luna/asgi.py | avrilmaomao/lunakeeper | 95c55007e703edea0bc39455b4bf0ff60d4914d8 | [
"MIT"
] | 1 | 2021-09-01T03:27:13.000Z | 2021-09-01T03:27:13.000Z | luna/asgi.py | avrilmaomao/lunakeeper | 95c55007e703edea0bc39455b4bf0ff60d4914d8 | [
"MIT"
] | null | null | null | """
ASGI config for luna project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTINGS... | 22.647059 | 78 | 0.781818 |
79885fc2b900544e0df68bb7212feeda80547552 | 20,335 | py | Python | chiadoge/wallet/wallet.py | Jsewill/chiadogecoin | 55511228301a0b4d00c8f4da270be8b434777470 | [
"Apache-2.0"
] | null | null | null | chiadoge/wallet/wallet.py | Jsewill/chiadogecoin | 55511228301a0b4d00c8f4da270be8b434777470 | [
"Apache-2.0"
] | null | null | null | chiadoge/wallet/wallet.py | Jsewill/chiadogecoin | 55511228301a0b4d00c8f4da270be8b434777470 | [
"Apache-2.0"
] | null | null | null | import logging
import time
from typing import Any, Dict, List, Optional, Set
from blspy import G1Element
from chiadoge.consensus.cost_calculator import calculate_cost_of_program, NPCResult
from chiadoge.full_node.bundle_tools import simple_solution_generator
from chiadoge.full_node.mempool_check_conditions import get... | 42.720588 | 117 | 0.662749 |
7988601892ccd4b8138f7f2cc2b2c1003dd009a7 | 3,047 | bzl | Python | config/custom_rules.bzl | pondok-programmer/swift-algorithm-club | 3a8d419b614bbe2ae1492dfb234dd656cddd58ce | [
"MIT"
] | null | null | null | config/custom_rules.bzl | pondok-programmer/swift-algorithm-club | 3a8d419b614bbe2ae1492dfb234dd656cddd58ce | [
"MIT"
] | null | null | null | config/custom_rules.bzl | pondok-programmer/swift-algorithm-club | 3a8d419b614bbe2ae1492dfb234dd656cddd58ce | [
"MIT"
] | null | null | null | load(
"@build_bazel_rules_apple//apple:ios.bzl",
"ios_application",
"ios_unit_test",
)
load(
"@build_bazel_rules_apple//apple:apple.bzl",
"apple_dynamic_framework_import",
"apple_static_framework_import",
)
load(
"@build_bazel_rules_swift//swift:swift.bzl",
"swift_library",
)
load(
... | 22.240876 | 106 | 0.571053 |
798860dc1deba43066f1c29dcbe132eca11accef | 1,441 | py | Python | wagtailsharing/tests/shareable_routable_testapp/migrations/0001_initial.py | spapas/wagtail-sharing | 2576dd7303328cf004d609b3b774dee43a864ead | [
"CC0-1.0"
] | 43 | 2017-01-10T17:26:02.000Z | 2022-03-23T08:09:50.000Z | wagtailsharing/tests/shareable_routable_testapp/migrations/0001_initial.py | spapas/wagtail-sharing | 2576dd7303328cf004d609b3b774dee43a864ead | [
"CC0-1.0"
] | 25 | 2017-01-13T20:27:56.000Z | 2022-03-10T15:55:51.000Z | wagtailsharing/tests/shareable_routable_testapp/migrations/0001_initial.py | spapas/wagtail-sharing | 2576dd7303328cf004d609b3b774dee43a864ead | [
"CC0-1.0"
] | 12 | 2017-01-31T20:47:50.000Z | 2021-11-03T09:38:06.000Z | # Generated by Django 2.2.17 on 2021-02-22 12:17
from django.db import migrations, models
import django.db.models.deletion
import wagtail.contrib.routable_page.models
import wagtailsharing.models
class Migration(migrations.Migration):
initial = True
dependencies = [
('wagtailcore', '0041_group_coll... | 35.146341 | 191 | 0.619709 |
798861907bbe6b15f9d122c889f4c9b49c600813 | 7,872 | py | Python | SwedishSources.py | dis-maja/gr-SwedishSources | da647102873862b3c3215adb56bb14b9b57f76cc | [
"BSD-3-Clause"
] | null | null | null | SwedishSources.py | dis-maja/gr-SwedishSources | da647102873862b3c3215adb56bb14b9b57f76cc | [
"BSD-3-Clause"
] | null | null | null | SwedishSources.py | dis-maja/gr-SwedishSources | da647102873862b3c3215adb56bb14b9b57f76cc | [
"BSD-3-Clause"
] | null | null | null | # Gramps - a GTK+/GNOME based genealogy program
#
# Copyright (C) 2018 Mats O Jansson
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your optio... | 32.937238 | 92 | 0.567073 |
798861ada0b7d868ae77152754ae09648496a336 | 6,325 | py | Python | pirates/piratesbase/UniqueIdManager.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | 3 | 2021-02-25T06:38:13.000Z | 2022-03-22T07:00:15.000Z | pirates/piratesbase/UniqueIdManager.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | null | null | null | pirates/piratesbase/UniqueIdManager.py | itsyaboyrocket/pirates | 6ca1e7d571c670b0d976f65e608235707b5737e3 | [
"BSD-3-Clause"
] | 1 | 2021-02-25T06:38:17.000Z | 2021-02-25T06:38:17.000Z | # uncompyle6 version 3.2.0
# Python bytecode 2.4 (62061)
# Decompiled from: Python 2.7.14 (v2.7.14:84471935ed, Sep 16 2017, 20:19:30) [MSC v.1500 32 bit (Intel)]
# Embedded file name: pirates.piratesbase.UniqueIdManager
from direct.task import Task
class UniqueIdManager:
__module__ = __name__
def __init__(sel... | 35.9375 | 125 | 0.572016 |
798862054629a1dec249e77076c1cdcd247a718d | 2,510 | py | Python | TinyAutoML/builders.py | thomktz/TinyAutoML | 74d9d806ac31795dbf1c4fd60755b0bf9a7c4124 | [
"MIT"
] | null | null | null | TinyAutoML/builders.py | thomktz/TinyAutoML | 74d9d806ac31795dbf1c4fd60755b0bf9a7c4124 | [
"MIT"
] | null | null | null | TinyAutoML/builders.py | thomktz/TinyAutoML | 74d9d806ac31795dbf1c4fd60755b0bf9a7c4124 | [
"MIT"
] | null | null | null | from typing import Union
import numpy as np
import pandas as pd
from sklearn.base import BaseEstimator
from sklearn.compose import ColumnTransformer
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import (
FunctionTransformer,
MinMaxScaler,
OneHotEncoder,
StandardScaler,
)
from .Prepr... | 30.240964 | 89 | 0.630677 |
798862f4dba0483b7c9cfe23b0ea272e130db90d | 14,245 | py | Python | Providers/nxOMSAutomationWorker/automationworker/worker/hybridworker.py | assing/PowerShell-DSC-for-Linux-1 | 2747634e5e82fbbfcc87fff5e2c1cb0b91187d47 | [
"MIT"
] | 1 | 2020-05-23T11:56:52.000Z | 2020-05-23T11:56:52.000Z | Providers/nxOMSAutomationWorker/automationworker/worker/hybridworker.py | assing/PowerShell-DSC-for-Linux-1 | 2747634e5e82fbbfcc87fff5e2c1cb0b91187d47 | [
"MIT"
] | null | null | null | Providers/nxOMSAutomationWorker/automationworker/worker/hybridworker.py | assing/PowerShell-DSC-for-Linux-1 | 2747634e5e82fbbfcc87fff5e2c1cb0b91187d47 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
#
# Copyright (C) Microsoft Corporation, All rights reserved.
import ConfigParser
import os
import platform
import shutil
import subprocess
import sys
import threading
import time
import traceback
# import worker module after linuxutil.daemonize() call
sandboxes_root_folder_name = "sandboxes"
... | 41.774194 | 119 | 0.660091 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.