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c0b3a1dd34d4af3e41ec71b11a5b0c0289b6b2cb | 1,527 | py | Python | partname_resolver/components/test_inductor.py | sakoPO/partname-resolver | ad881eb147b005f0e833a1c78fa9fc4b8b7a33bb | [
"BSD-3-Clause"
] | null | null | null | partname_resolver/components/test_inductor.py | sakoPO/partname-resolver | ad881eb147b005f0e833a1c78fa9fc4b8b7a33bb | [
"BSD-3-Clause"
] | null | null | null | partname_resolver/components/test_inductor.py | sakoPO/partname-resolver | ad881eb147b005f0e833a1c78fa9fc4b8b7a33bb | [
"BSD-3-Clause"
] | null | null | null | import unittest
from partname_resolver.components.inductor import Inductor
from partname_resolver.units.temperature import TemperatureRange
| 41.27027 | 78 | 0.513425 | import unittest
from partname_resolver.components.inductor import Inductor
from partname_resolver.units.temperature import TemperatureRange
class InductorTestCase(unittest.TestCase):
def test_equality(self):
A = Inductor(inductor_type=Inductor.Type.MultilayerInductor,
manufacturer="Mu... | 1,316 | 21 | 49 |
05d44356b2346be5b170ee2ffa3cfc38f895d3ff | 3,433 | py | Python | setup.py | oarepo/cesnet-openid-remote | 4ca46fc94801e51267b7676e0c212a024e3af3a1 | [
"MIT"
] | null | null | null | setup.py | oarepo/cesnet-openid-remote | 4ca46fc94801e51267b7676e0c212a024e3af3a1 | [
"MIT"
] | 4 | 2021-02-19T10:53:28.000Z | 2021-04-09T17:15:56.000Z | setup.py | oarepo/cesnet-openid-remote | 4ca46fc94801e51267b7676e0c212a024e3af3a1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2021 CESNET.
#
# CESNET-OpenID-Remote is free software; you can redistribute it and/or
# modify it under the terms of the MIT License; see LICENSE file for more
# details.
"""CESNET OIDC Auth backend for OARepo"""
import os
from setuptools import find_packages, setup
readme... | 29.594828 | 77 | 0.630061 | # -*- coding: utf-8 -*-
#
# Copyright (C) 2021 CESNET.
#
# CESNET-OpenID-Remote is free software; you can redistribute it and/or
# modify it under the terms of the MIT License; see LICENSE file for more
# details.
"""CESNET OIDC Auth backend for OARepo"""
import os
from setuptools import find_packages, setup
readme... | 0 | 0 | 0 |
0098e30c2ef9ea5e88b69f0c7ac211522ab302b6 | 476 | py | Python | src/pos/utils.py | ExplorerFreda/sub2-augmentation | 3f43e72a1b4eb5201472938ede8ea0fbe97be7c3 | [
"MIT"
] | 6 | 2021-07-14T22:49:32.000Z | 2021-08-22T14:32:17.000Z | src/pos/utils.py | ExplorerFreda/sub2-augmentation | 3f43e72a1b4eb5201472938ede8ea0fbe97be7c3 | [
"MIT"
] | null | null | null | src/pos/utils.py | ExplorerFreda/sub2-augmentation | 3f43e72a1b4eb5201472938ede8ea0fbe97be7c3 | [
"MIT"
] | 1 | 2021-07-15T03:19:39.000Z | 2021-07-15T03:19:39.000Z | high_resource_language_list = [
'bg', 'cs', 'da', 'de', 'en', 'es', 'eu', 'fa', 'fi', 'fr', 'he', 'hi',
'hr', 'id', 'it', 'nl', 'no', 'pl', 'pt', 'sl', 'sv'
]
low_resource_language_list = [
'el', 'et', 'ga', 'hu', 'ro', 'ta'
]
extra_language_list_ud12 = [
'ar', 'cu', 'fi_ftb', 'got', 'grc', 'grc_proie... | 31.733333 | 76 | 0.539916 | high_resource_language_list = [
'bg', 'cs', 'da', 'de', 'en', 'es', 'eu', 'fa', 'fi', 'fr', 'he', 'hi',
'hr', 'id', 'it', 'nl', 'no', 'pl', 'pt', 'sl', 'sv'
]
low_resource_language_list = [
'el', 'et', 'ga', 'hu', 'ro', 'ta'
]
extra_language_list_ud12 = [
'ar', 'cu', 'fi_ftb', 'got', 'grc', 'grc_proie... | 0 | 0 | 0 |
6a05f2d56018956a4ac6c006679c41bfd597e952 | 7,071 | py | Python | cirq/ion/ion_device.py | joshp112358/Cirq | c4fac27a9849e589ee05b4f702f2d7c9049aaeea | [
"Apache-2.0"
] | 15 | 2020-06-29T08:33:39.000Z | 2022-02-12T00:28:51.000Z | cirq/ion/ion_device.py | joshp112358/Cirq | c4fac27a9849e589ee05b4f702f2d7c9049aaeea | [
"Apache-2.0"
] | 4 | 2020-11-27T09:34:13.000Z | 2021-04-30T21:13:41.000Z | cirq/ion/ion_device.py | joshp112358/Cirq | c4fac27a9849e589ee05b4f702f2d7c9049aaeea | [
"Apache-2.0"
] | 11 | 2020-06-29T08:40:24.000Z | 2022-02-24T17:39:16.000Z | # Copyright 2018 The Cirq Developers
#
# 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 ... | 39.949153 | 80 | 0.623391 | # Copyright 2018 The Cirq Developers
#
# 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 ... | 4,274 | 0 | 374 |
4ab3bb9ddd1da5119cd9c519636fbb494ba987ad | 10,910 | py | Python | examples/tts/ljspeech/local/prepare_data.py | wgfi110/athena | e704884ec6a3a947769d892aa267578038e49ecb | [
"Apache-2.0"
] | 791 | 2019-12-22T03:09:04.000Z | 2022-03-26T01:57:42.000Z | examples/tts/ljspeech/local/prepare_data.py | wgfi110/athena | e704884ec6a3a947769d892aa267578038e49ecb | [
"Apache-2.0"
] | 198 | 2019-12-22T03:06:27.000Z | 2022-03-29T02:57:59.000Z | examples/tts/ljspeech/local/prepare_data.py | wgfi110/athena | e704884ec6a3a947769d892aa267578038e49ecb | [
"Apache-2.0"
] | 194 | 2019-12-24T03:59:29.000Z | 2022-03-25T02:44:51.000Z | #coding=utf-8
# Copyright (C) 2020 ATHENA AUTHORS; LanYu;
# 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 ... | 35.537459 | 153 | 0.628873 | #coding=utf-8
# Copyright (C) 2020 ATHENA AUTHORS; LanYu;
# 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 ... | 2,812 | 0 | 192 |
09b04334000e84dd407ae506dce11f9969eacf3d | 666 | py | Python | yossarian/book_groups/migrations/0003_auto_20151231_1605.py | avinassh/yossarian | b485da0669d87ad29f57ba2a4a446131aaf820a6 | [
"MIT"
] | null | null | null | yossarian/book_groups/migrations/0003_auto_20151231_1605.py | avinassh/yossarian | b485da0669d87ad29f57ba2a4a446131aaf820a6 | [
"MIT"
] | null | null | null | yossarian/book_groups/migrations/0003_auto_20151231_1605.py | avinassh/yossarian | b485da0669d87ad29f57ba2a4a446131aaf820a6 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2015-12-31 16:05
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
| 25.615385 | 101 | 0.62012 | # -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2015-12-31 16:05
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('book_groups', '0002_progress'),
]
operations = [
... | 0 | 457 | 23 |
f3f8f0663273ae09a08d463054d3e72903562007 | 1,347 | py | Python | transactions/accounts/migrations/0001_initial.py | akash-dev-github/Transactions | 7f1b8897d914a1cf297aeff750c197d21ce98ca8 | [
"MIT"
] | null | null | null | transactions/accounts/migrations/0001_initial.py | akash-dev-github/Transactions | 7f1b8897d914a1cf297aeff750c197d21ce98ca8 | [
"MIT"
] | null | null | null | transactions/accounts/migrations/0001_initial.py | akash-dev-github/Transactions | 7f1b8897d914a1cf297aeff750c197d21ce98ca8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2016-10-09 19:24
from __future__ import unicode_literals
import datetime
import django.db.models.deletion
from django.conf import settings
from django.db import migrations, models
| 35.447368 | 130 | 0.614699 | # -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2016-10-09 19:24
from __future__ import unicode_literals
import datetime
import django.db.models.deletion
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [... | 0 | 1,085 | 23 |
3d1c5ee77973eec7eef67ddca34a8343a0cf3724 | 6,691 | py | Python | custom_components/edgeos/clients/web_socket.py | kcleong/homeassistant-config | 15b7bc75f5d1055d8620ced87eed9d563475296d | [
"MIT"
] | null | null | null | custom_components/edgeos/clients/web_socket.py | kcleong/homeassistant-config | 15b7bc75f5d1055d8620ced87eed9d563475296d | [
"MIT"
] | null | null | null | custom_components/edgeos/clients/web_socket.py | kcleong/homeassistant-config | 15b7bc75f5d1055d8620ced87eed9d563475296d | [
"MIT"
] | null | null | null | """
This component provides support for Home Automation Manager (HAM).
For more details about this component, please refer to the documentation at
https://home-assistant.io/components/edgeos/
"""
import asyncio
import json
import logging
import re
from typing import Optional
from urllib.parse import urlparse
import ai... | 28.47234 | 87 | 0.606337 | """
This component provides support for Home Automation Manager (HAM).
For more details about this component, please refer to the documentation at
https://home-assistant.io/components/edgeos/
"""
import asyncio
import json
import logging
import re
from typing import Optional
from urllib.parse import urlparse
import ai... | 5,670 | 452 | 23 |
9ca3fcb4f36e750dc158f22eee6d8701f2799cd8 | 1,918 | py | Python | venv/lib/python3.8/site-packages/azureml/_base_sdk_common/workspace/models/linked_service_props.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/azureml/_base_sdk_common/workspace/models/linked_service_props.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/azureml/_base_sdk_common/workspace/models/linked_service_props.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"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 2.3.3... | 40.808511 | 107 | 0.637643 | # 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 2.3.3... | 325 | 0 | 29 |
626ab922c10d3f79f86d1f22251f5d6b2a46edfe | 963 | py | Python | notebooks/1.0-vg-runtime-simulation/timing.py | v715/py-U-Rerf | d1821ce95a3ccc3345faa673371f7a8e9a797f72 | [
"FTL"
] | 2 | 2018-09-18T00:06:46.000Z | 2018-09-18T12:59:38.000Z | notebooks/1.0-vg-runtime-simulation/timing.py | v715/py-U-Rerf | d1821ce95a3ccc3345faa673371f7a8e9a797f72 | [
"FTL"
] | 17 | 2018-09-17T23:50:25.000Z | 2018-10-12T19:30:21.000Z | notebooks/1.0-vg-runtime-simulation/timing.py | v715/py-U-Rerf | d1821ce95a3ccc3345faa673371f7a8e9a797f72 | [
"FTL"
] | null | null | null | #!/usr/bin/env python
# graph.py
# Created by Vivek Gopalakrishnan on 2018-11-13.
# Email: vgopala4@jhu.edu
# Copyright (c) 2018. All rights reserved.
import timeit
from src.features.summary import Stats
from src.random.bernoulli import RandomGraph
def measure_runtime(n, p, number=5):
"""
Calculates the ru... | 26.027027 | 79 | 0.686397 | #!/usr/bin/env python
# graph.py
# Created by Vivek Gopalakrishnan on 2018-11-13.
# Email: vgopala4@jhu.edu
# Copyright (c) 2018. All rights reserved.
import timeit
from src.features.summary import Stats
from src.random.bernoulli import RandomGraph
def measure_runtime(n, p, number=5):
"""
Calculates the ru... | 0 | 0 | 0 |
8d1f18ed4554971d39a164bbe0c71bd5477eddf5 | 1,360 | py | Python | NodeClassification/ADMM/ADMM/main_admm_auto_tune.py | x-zho14/Unified-LTH-GNN | edbb2f9aaa7cb363424dcfcb2ce198cfb66f3d55 | [
"MIT"
] | 29 | 2021-02-17T02:46:54.000Z | 2022-03-18T02:09:03.000Z | NodeClassification/ADMM/ADMM/main_admm_auto_tune.py | x-zho14/Unified-LTH-GNN | edbb2f9aaa7cb363424dcfcb2ce198cfb66f3d55 | [
"MIT"
] | 1 | 2021-09-03T13:30:50.000Z | 2021-09-03T13:30:50.000Z | NodeClassification/ADMM/ADMM/main_admm_auto_tune.py | x-zho14/Unified-LTH-GNN | edbb2f9aaa7cb363424dcfcb2ce198cfb66f3d55 | [
"MIT"
] | 10 | 2021-04-01T16:27:03.000Z | 2022-03-07T09:20:38.000Z | import os
import numpy as np
learning_rate = [0.01, 0.001]
prune_ratio = 30
ADMM_times = [2,3,4,5,6,7]
Total_epochs = [10,30,40,50,60]
target_accuracy = 0.76
count = 0
highest_acc = 0
for i in range(len(learning_rate)):
for j in range(len(ADMM_times)):
for k in range(len(Total_epochs)):
lr = le... | 35.789474 | 83 | 0.491912 | import os
import numpy as np
learning_rate = [0.01, 0.001]
prune_ratio = 30
ADMM_times = [2,3,4,5,6,7]
Total_epochs = [10,30,40,50,60]
target_accuracy = 0.76
count = 0
highest_acc = 0
for i in range(len(learning_rate)):
for j in range(len(ADMM_times)):
for k in range(len(Total_epochs)):
lr = le... | 0 | 0 | 0 |
7dc23fe92ba79adcfc96da36352928d104bdba79 | 490 | py | Python | apps/users/admin.py | Mozilla-GitHub-Standards/93f18f14efcf5fdfc0e04f9bf247f66baf46663f37b1d2087ab8d850abc90803 | 4e374b4d52dfb9039ebe543e7f27682189022307 | [
"BSD-3-Clause"
] | 2 | 2015-04-06T15:20:29.000Z | 2016-12-30T12:25:11.000Z | apps/users/admin.py | Mozilla-GitHub-Standards/93f18f14efcf5fdfc0e04f9bf247f66baf46663f37b1d2087ab8d850abc90803 | 4e374b4d52dfb9039ebe543e7f27682189022307 | [
"BSD-3-Clause"
] | 2 | 2019-02-17T17:38:02.000Z | 2019-03-28T03:49:16.000Z | apps/users/admin.py | Mozilla-GitHub-Standards/93f18f14efcf5fdfc0e04f9bf247f66baf46663f37b1d2087ab8d850abc90803 | 4e374b4d52dfb9039ebe543e7f27682189022307 | [
"BSD-3-Clause"
] | 1 | 2019-03-28T03:49:18.000Z | 2019-03-28T03:49:18.000Z | from django.contrib import admin
from tower import ugettext_lazy as _
from users.models import Profile, Link
username = lambda u: u.user.username
username.short_description = _('Username')
admin.site.register(Profile, ProfileAdmin)
admin.site.register(Link, LinkAdmin)
| 21.304348 | 42 | 0.734694 | from django.contrib import admin
from tower import ugettext_lazy as _
from users.models import Profile, Link
username = lambda u: u.user.username
username.short_description = _('Username')
class ProfileAdmin(admin.ModelAdmin):
list_display = (username, 'name')
search_fields = ('name',)
class LinkAdmin(a... | 0 | 168 | 46 |
324d309f43981206af584f6bc12c55d7e3d30736 | 4,574 | py | Python | IMU/VTK-6.2.0/Filters/General/Testing/Python/TestMultiBlockStreamer.py | timkrentz/SunTracker | 9a189cc38f45e5fbc4e4c700d7295a871d022795 | [
"MIT"
] | 4 | 2016-03-30T14:31:52.000Z | 2019-02-02T05:01:32.000Z | IMU/VTK-6.2.0/Filters/General/Testing/Python/TestMultiBlockStreamer.py | timkrentz/SunTracker | 9a189cc38f45e5fbc4e4c700d7295a871d022795 | [
"MIT"
] | null | null | null | IMU/VTK-6.2.0/Filters/General/Testing/Python/TestMultiBlockStreamer.py | timkrentz/SunTracker | 9a189cc38f45e5fbc4e4c700d7295a871d022795 | [
"MIT"
] | 2 | 2019-08-30T23:36:13.000Z | 2019-11-08T16:52:01.000Z | #!/usr/bin/env python
import vtk
from vtk.test import Testing
from vtk.util.misc import vtkGetDataRoot
VTK_DATA_ROOT = vtkGetDataRoot()
# we need to use composite data pipeline with multiblock datasets
alg = vtk.vtkAlgorithm()
pip = vtk.vtkCompositeDataPipeline()
alg.SetDefaultExecutivePrototype(pip)
#del pi... | 30.291391 | 78 | 0.776782 | #!/usr/bin/env python
import vtk
from vtk.test import Testing
from vtk.util.misc import vtkGetDataRoot
VTK_DATA_ROOT = vtkGetDataRoot()
# we need to use composite data pipeline with multiblock datasets
alg = vtk.vtkAlgorithm()
pip = vtk.vtkCompositeDataPipeline()
alg.SetDefaultExecutivePrototype(pip)
#del pi... | 0 | 0 | 0 |
716976b200135720854972a197428b45a78f6344 | 207 | py | Python | pdbuddy/formatters/simple.py | emou/pdbuddy | 5708c44803e46d06aca02a0402ebaec0c5ae4634 | [
"MIT"
] | null | null | null | pdbuddy/formatters/simple.py | emou/pdbuddy | 5708c44803e46d06aca02a0402ebaec0c5ae4634 | [
"MIT"
] | null | null | null | pdbuddy/formatters/simple.py | emou/pdbuddy | 5708c44803e46d06aca02a0402ebaec0c5ae4634 | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from pdbuddy.formatters.base import BaseFormatter
| 20.7 | 49 | 0.772947 | from __future__ import absolute_import
from pdbuddy.formatters.base import BaseFormatter
class SimpleFormatter(BaseFormatter):
def __call__(self, frame, event, arg):
return str(frame.f_code)
| 50 | 16 | 50 |
26e8cceb26d881c4c50d1907d6a8246ef169ec29 | 786 | py | Python | Search_4_letter-webApp/vsearch4web.py | dlouima/python_project | 2f84c5131efccfa04a633a608605b957b20b5f7e | [
"Apache-2.0"
] | null | null | null | Search_4_letter-webApp/vsearch4web.py | dlouima/python_project | 2f84c5131efccfa04a633a608605b957b20b5f7e | [
"Apache-2.0"
] | null | null | null | Search_4_letter-webApp/vsearch4web.py | dlouima/python_project | 2f84c5131efccfa04a633a608605b957b20b5f7e | [
"Apache-2.0"
] | null | null | null | import vsearch as vsearch
from flask import Flask, render_template, request, redirect
app= Flask(__name__)
#
# @app.route('/')
# def hello() -> str:
# return redirect('/entry')
@app.route('/search4', methods=['POST'])
@app.route('/')
@app.route('/entry')
if __name__ == '__main__0':
app.run(debug=True)
| 22.457143 | 90 | 0.653944 | import vsearch as vsearch
from flask import Flask, render_template, request, redirect
app= Flask(__name__)
#
# @app.route('/')
# def hello() -> str:
# return redirect('/entry')
@app.route('/search4', methods=['POST'])
def do_search():
phrase = request.form['phrase']
letters= request.form['letters']
... | 423 | 0 | 44 |
a0f8dba11d5c9d23036254d6bc2c8e4009334ab5 | 580 | py | Python | src/tree/0669.trim-a-binary-search-tree/trim-a-binary-search-tree.py | lyphui/Just-Code | e0c3c3ecb67cb805080ff686e88522b2bffe7741 | [
"MIT"
] | 782 | 2019-11-19T08:20:49.000Z | 2022-03-25T06:59:09.000Z | src/0669.trim-a-binary-search-tree/trim-a-binary-search-tree.py | Heitao5200/Just-Code | 5bb3ee485a103418e693b7ec8e26dc84f3691c79 | [
"MIT"
] | 1 | 2021-03-04T12:21:01.000Z | 2021-03-05T01:23:54.000Z | src/0669.trim-a-binary-search-tree/trim-a-binary-search-tree.py | Heitao5200/Just-Code | 5bb3ee485a103418e693b7ec8e26dc84f3691c79 | [
"MIT"
] | 155 | 2019-11-20T08:20:42.000Z | 2022-03-19T07:28:09.000Z | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None | 27.619048 | 66 | 0.532759 | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def trimBST(self, root: TreeNode, L: int, R: int) -> TreeNode:
if not root:
return None
if root.val<... | 376 | -6 | 49 |
2d982d9e3ea381e0c12055f558db9cd1ac20e3d2 | 9,925 | py | Python | set_up_grasp_models/check_models/thermodynamics_checks.py | martamatos/set_up_grasp_models | 0028f063c41104e3c0404956aa225e76aa6ac983 | [
"MIT"
] | null | null | null | set_up_grasp_models/check_models/thermodynamics_checks.py | martamatos/set_up_grasp_models | 0028f063c41104e3c0404956aa225e76aa6ac983 | [
"MIT"
] | 5 | 2019-05-14T17:05:41.000Z | 2019-05-29T13:17:11.000Z | set_up_grasp_models/check_models/thermodynamics_checks.py | martamatos/set_up_grasp_models | 0028f063c41104e3c0404956aa225e76aa6ac983 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
def calculate_dG(data_dict: dict, gas_constant: float, temperature: float, rxn_order: list = None) -> tuple:
"""
Given a dictionary representing a GRASP input file, calculates the minimum and maximum reaction dGs based on the
standard dGs in thermoRxns and metabolit... | 38.173077 | 120 | 0.643829 | import numpy as np
import pandas as pd
def _get_dG_list(rxn_names: list, stoic_matrix: np.ndarray, sub_conc: np.ndarray, prod_conc: np.ndarray,
dG_std: np.ndarray, gas_constant: float, temperature: float) -> tuple:
dG_list = []
dG_Q_list = []
ma_ratio_list = []
for rxn_i in range(le... | 4,055 | 0 | 92 |
d194ea8db0f61bff0f8a955602ce8f2eb76abe18 | 8,432 | py | Python | src/synthetic_data.py | tomogwen/fpdcluster | afbb16ce1e0e428304867084fb59d62ae3931b81 | [
"MIT"
] | 10 | 2020-06-05T12:46:21.000Z | 2021-04-19T10:46:46.000Z | src/synthetic_data.py | tomogwen/fpdcluster | afbb16ce1e0e428304867084fb59d62ae3931b81 | [
"MIT"
] | null | null | null | src/synthetic_data.py | tomogwen/fpdcluster | afbb16ce1e0e428304867084fb59d62ae3931b81 | [
"MIT"
] | null | null | null |
import clustering
import numpy as np
from sklearn import datasets
import matplotlib.pyplot as plt
import dionysus as dion
import random
if __name__ == '__main__':
seed = 0
dataset = gen_data2(seed, noise=0.1, n_samples=100)
diagrams = compute_diagrams(dataset)
diagrams_cluster = clusterin... | 27.736842 | 115 | 0.607448 |
import clustering
import numpy as np
from sklearn import datasets
import matplotlib.pyplot as plt
import dionysus as dion
import random
def plot_all(data, diagrams):
fig = plt.figure(figsize=(20, 10))
for i in range(len(data)):
num = 241 + i
ax = plt.subplot(num)
plt.scatter(data[i... | 7,457 | 0 | 230 |
2e69f73189a3759642774829299275d95d3f03ef | 3,821 | py | Python | controllers/pathfinder.py | endymecy/NDIToolbox | f7a0a642b4a778d9d0c131871f4bfb9822ecb3da | [
"BSD-4-Clause"
] | 5 | 2017-02-28T16:16:06.000Z | 2020-07-13T06:49:34.000Z | controllers/pathfinder.py | endymecy/NDIToolbox | f7a0a642b4a778d9d0c131871f4bfb9822ecb3da | [
"BSD-4-Clause"
] | 1 | 2018-08-19T19:08:14.000Z | 2018-08-19T19:08:14.000Z | controllers/pathfinder.py | endymecy/NDIToolbox | f7a0a642b4a778d9d0c131871f4bfb9822ecb3da | [
"BSD-4-Clause"
] | 4 | 2017-10-25T20:17:15.000Z | 2021-07-26T11:39:50.000Z | """pathfinder.py - specifies paths and common filenames"""
__author__ = 'Chris R. Coughlin'
from models import config
import os.path
import sys
def normalized(path_fn):
"""Decorator to normalize (os.path.normcase) paths"""
return normalize
@normalized
def app_path():
"""Returns the base application pat... | 25.993197 | 99 | 0.690395 | """pathfinder.py - specifies paths and common filenames"""
__author__ = 'Chris R. Coughlin'
from models import config
import os.path
import sys
def normalized(path_fn):
"""Decorator to normalize (os.path.normcase) paths"""
def normalize():
return os.path.normcase(path_fn())
return normalize
@n... | 38 | 0 | 27 |
1572db60c45a7a3e80068f389efcd4692bc26899 | 338 | py | Python | djapi/api/constants.py | dgouldin/djangocon-eu-2015 | 890057a3451231f96d15c65011d867dedfd5f9fa | [
"MIT"
] | null | null | null | djapi/api/constants.py | dgouldin/djangocon-eu-2015 | 890057a3451231f96d15c65011d867dedfd5f9fa | [
"MIT"
] | null | null | null | djapi/api/constants.py | dgouldin/djangocon-eu-2015 | 890057a3451231f96d15c65011d867dedfd5f9fa | [
"MIT"
] | null | null | null | TRANSACTION_STATUS_PENDING = 'pending'
TRANSACTION_STATUS_COMPLETE = 'complete'
TRANSACTION_STATUS_REFUNDED = 'refunded'
TRANSACTION_STATUSES = (
(TRANSACTION_STATUS_PENDING, TRANSACTION_STATUS_PENDING),
(TRANSACTION_STATUS_COMPLETE, TRANSACTION_STATUS_COMPLETE),
(TRANSACTION_STATUS_REFUNDED, TRANSACTION_ST... | 37.555556 | 63 | 0.837278 | TRANSACTION_STATUS_PENDING = 'pending'
TRANSACTION_STATUS_COMPLETE = 'complete'
TRANSACTION_STATUS_REFUNDED = 'refunded'
TRANSACTION_STATUSES = (
(TRANSACTION_STATUS_PENDING, TRANSACTION_STATUS_PENDING),
(TRANSACTION_STATUS_COMPLETE, TRANSACTION_STATUS_COMPLETE),
(TRANSACTION_STATUS_REFUNDED, TRANSACTION_ST... | 0 | 0 | 0 |
e81e348e3912f9783df345478bd8ba60a40bfcc1 | 2,040 | py | Python | test/test_minmax.py | shoaibmahmod7/Turbomachinery-Rotors-Balancing | 8bb4c1ec97c4646bcd69ed3398aafc7f985bc96d | [
"MIT"
] | 1 | 2022-02-03T17:14:16.000Z | 2022-02-03T17:14:16.000Z | test/test_minmax.py | shoaibmahmod7/Turbomachinery-Rotors-Balancing | 8bb4c1ec97c4646bcd69ed3398aafc7f985bc96d | [
"MIT"
] | null | null | null | test/test_minmax.py | shoaibmahmod7/Turbomachinery-Rotors-Balancing | 8bb4c1ec97c4646bcd69ed3398aafc7f985bc96d | [
"MIT"
] | null | null | null | import numpy as np
import sys
import yaml
import pytest
import test_tools
import hsbalance as hs
'''This module is for testing Min_Max model solver'''
# Reading the test cases from config.yaml file, to add more tests follow the rules on the file
tests, tests_id, timeout = test_tools.get_tests_from_yaml('Min_max')
@p... | 37.090909 | 118 | 0.673039 | import numpy as np
import sys
import yaml
import pytest
import test_tools
import hsbalance as hs
'''This module is for testing Min_Max model solver'''
# Reading the test cases from config.yaml file, to add more tests follow the rules on the file
tests, tests_id, timeout = test_tools.get_tests_from_yaml('Min_max')
@p... | 0 | 0 | 0 |
fc71471e251cfc681a314a5d4c50edf2f39c8b52 | 8,471 | py | Python | pymatex/search/IndexSearchVisitor.py | Gawaboumga/PyMatex | 3ccc0aa23211a064aa31a9b509b108cd606a4992 | [
"MIT"
] | 1 | 2019-03-05T09:45:04.000Z | 2019-03-05T09:45:04.000Z | pymatex/search/IndexSearchVisitor.py | Gawaboumga/PyMatex | 3ccc0aa23211a064aa31a9b509b108cd606a4992 | [
"MIT"
] | null | null | null | pymatex/search/IndexSearchVisitor.py | Gawaboumga/PyMatex | 3ccc0aa23211a064aa31a9b509b108cd606a4992 | [
"MIT"
] | null | null | null | from pymatex.listener import MatexASTVisitor
from pymatex.node import *
| 35.894068 | 98 | 0.67678 | from pymatex.listener import MatexASTVisitor
from pymatex.node import *
class IndexSearchVisitor(MatexASTVisitor.MatexASTVisitor):
def __init__(self, data: dict):
self.data = data
self.results = {}
self.seen_constants = {}
self.seen_variables = {}
self.bound_variables = se... | 7,663 | 37 | 698 |
8c6e39a2577187b6a1f33f6467e3fe9575d74f83 | 1,157 | py | Python | server/DbHourlyTask.py | chuckablack/quokka-prime | 6429c09039f37887f4b0d5a196f1df2712136de7 | [
"MIT"
] | 5 | 2021-05-29T20:15:16.000Z | 2021-11-01T18:35:55.000Z | server/DbHourlyTask.py | chuckablack/quokka-prime | 6429c09039f37887f4b0d5a196f1df2712136de7 | [
"MIT"
] | null | null | null | server/DbHourlyTask.py | chuckablack/quokka-prime | 6429c09039f37887f4b0d5a196f1df2712136de7 | [
"MIT"
] | 4 | 2021-05-18T06:50:34.000Z | 2021-09-23T10:23:09.000Z | from datetime import datetime, timedelta
import time
from db_apis import trim_tables, create_summaries
| 30.447368 | 74 | 0.638721 | from datetime import datetime, timedelta
import time
from db_apis import trim_tables, create_summaries
class DbHourlyTask:
def __init__(self):
self.terminate = False
self.current_hour = str(datetime.now())[:13]
print("---> starting background db hourly task")
def set_terminate(self):... | 951 | -2 | 104 |
ecc51e60591a3f817b2262a421173a5caf35191e | 591 | py | Python | src/sequence/quick_sort.py | JadielTeofilo/General-Algorithms | dfcf86c6ecd727573079f8971187c47bdb7a37bb | [
"MIT"
] | null | null | null | src/sequence/quick_sort.py | JadielTeofilo/General-Algorithms | dfcf86c6ecd727573079f8971187c47bdb7a37bb | [
"MIT"
] | null | null | null | src/sequence/quick_sort.py | JadielTeofilo/General-Algorithms | dfcf86c6ecd727573079f8971187c47bdb7a37bb | [
"MIT"
] | null | null | null | ##################### QuickSort ###################
from typing import List
def quick_sort(nums: List[int]) -> List[int]:
""" Does recursive sorting using quick sort """
if len(nums) < 2:
return nums
mid: int = (len(nums) - 1)//2
smaller_values: List[int] = [num for i, num in enumerate(nums)
... | 36.9375 | 79 | 0.509306 | ##################### QuickSort ###################
from typing import List
def quick_sort(nums: List[int]) -> List[int]:
""" Does recursive sorting using quick sort """
if len(nums) < 2:
return nums
mid: int = (len(nums) - 1)//2
smaller_values: List[int] = [num for i, num in enumerate(nums)
... | 0 | 0 | 0 |
65f87122c687e34d582f25f7881fa6227314080c | 192 | py | Python | Lesson 2 - Neural Networks/softmax.py | Yasir323/PyTorch-Course | 18fdc866738b4f3dd9022cfe62863697c594b54c | [
"MIT"
] | null | null | null | Lesson 2 - Neural Networks/softmax.py | Yasir323/PyTorch-Course | 18fdc866738b4f3dd9022cfe62863697c594b54c | [
"MIT"
] | null | null | null | Lesson 2 - Neural Networks/softmax.py | Yasir323/PyTorch-Course | 18fdc866738b4f3dd9022cfe62863697c594b54c | [
"MIT"
] | null | null | null | import numpy as np | 21.333333 | 38 | 0.604167 | import numpy as np
def softmax(arr):
expL = np.exp(arr) # Broadcasting
sumExpL = sum(expL)
result = []
for i in expL:
result.append(i * 1.0/sumExpL)
return result | 151 | 0 | 23 |
421dca101f5521f89f68b7427dd0c0fbbe13d896 | 590 | py | Python | tests/test_end_to_end.py | MetroStar/bitnest | a8d9cef5a17a5366e088a774ae951a0f06f97ae7 | [
"MIT"
] | 4 | 2021-09-16T21:33:13.000Z | 2022-01-18T22:05:57.000Z | tests/test_end_to_end.py | MetroStar/bitnest | a8d9cef5a17a5366e088a774ae951a0f06f97ae7 | [
"MIT"
] | 1 | 2021-12-02T03:47:45.000Z | 2021-12-02T03:47:45.000Z | tests/test_end_to_end.py | MetroStar/bitnest | a8d9cef5a17a5366e088a774ae951a0f06f97ae7 | [
"MIT"
] | null | null | null | import pytest
from models.test import StructA
from models.simple import MILSTD_1553_Message
from models.chapter10 import MILSTD_1553_Data_Packet_Format_1
@pytest.mark.parametrize(
"struct", [StructA, MILSTD_1553_Message, MILSTD_1553_Data_Packet_Format_1]
)
| 28.095238 | 78 | 0.733898 | import pytest
from models.test import StructA
from models.simple import MILSTD_1553_Message
from models.chapter10 import MILSTD_1553_Data_Packet_Format_1
@pytest.mark.parametrize(
"struct", [StructA, MILSTD_1553_Message, MILSTD_1553_Data_Packet_Format_1]
)
def test_realize_paths(struct):
expression = struct.... | 304 | 0 | 22 |
67c0fe84b4a431512636cf8da382dec2c62878d2 | 280 | py | Python | actions/servers_list.py | nzlosh/stackstorm-powerdns | f554376af25dbdfa6c0df5e376a7a02287cee1cf | [
"Apache-2.0"
] | null | null | null | actions/servers_list.py | nzlosh/stackstorm-powerdns | f554376af25dbdfa6c0df5e376a7a02287cee1cf | [
"Apache-2.0"
] | null | null | null | actions/servers_list.py | nzlosh/stackstorm-powerdns | f554376af25dbdfa6c0df5e376a7a02287cee1cf | [
"Apache-2.0"
] | null | null | null | from lib.base import PowerDNSClientAction
class ServerListAction(PowerDNSClientAction):
"""
List available PowerDNS servers.
"""
| 23.333333 | 53 | 0.703571 | from lib.base import PowerDNSClientAction
class ServerListAction(PowerDNSClientAction):
"""
List available PowerDNS servers.
"""
def run(self, response_timeout=5):
super(ServerList, self).run(response_timeout)
return (True, self.servers_list())
| 110 | 0 | 27 |
6ed442ecc79bec374b4c5e3179ec155f952e0f3e | 14,122 | py | Python | tests/test_results.py | SuadeLabs/rattr | 22b82d31d4cebf0a7107fa1fb496a070b2e1f4ad | [
"MIT"
] | 6 | 2021-11-10T11:13:37.000Z | 2022-01-19T16:15:17.000Z | tests/test_results.py | SuadeLabs/ratter | 22b82d31d4cebf0a7107fa1fb496a070b2e1f4ad | [
"MIT"
] | 13 | 2021-11-10T11:39:12.000Z | 2022-03-01T10:27:49.000Z | tests/test_results.py | SuadeLabs/rattr | 22b82d31d4cebf0a7107fa1fb496a070b2e1f4ad | [
"MIT"
] | null | null | null | from unittest import mock
from rattr.analyser.context import Call, Func, Import, Name
from rattr.analyser.context.symbol import Class
from rattr.analyser.results import generate_results_from_ir
| 29.117526 | 82 | 0.361139 | from unittest import mock
from rattr.analyser.context import Call, Func, Import, Name
from rattr.analyser.context.symbol import Class
from rattr.analyser.results import generate_results_from_ir
class TestResults:
def test_generate_results_from_ir_no_calls(self):
# No calls
fn_ir = {
"... | 13,664 | -3 | 265 |
1ee8b3b441e3e386e5383b05e72b69bbd71f1a7d | 15,586 | py | Python | noname.py | sxnxhxrxkx/nonamechan | 4830ee9852b790ae46d66bc1ed356b3f1b0a8404 | [
"MIT"
] | 1 | 2018-11-04T14:19:14.000Z | 2018-11-04T14:19:14.000Z | noname.py | sxnxhxrxkx/nonamechan | 4830ee9852b790ae46d66bc1ed356b3f1b0a8404 | [
"MIT"
] | null | null | null | noname.py | sxnxhxrxkx/nonamechan | 4830ee9852b790ae46d66bc1ed356b3f1b0a8404 | [
"MIT"
] | null | null | null | # Work with Python 3.6
import discord
import numpy as np
import pandas as pd
import random
import subprocess
import weather as wt
from nlu_yahoo import nluservice
from MorseCode import morse
# from wc import noname_wc
#import softalk as sf
from calender import getCalender, getCalLink, getCommandList
from news import ge... | 40.801047 | 171 | 0.588926 | # Work with Python 3.6
import discord
import numpy as np
import pandas as pd
import random
import subprocess
import weather as wt
from nlu_yahoo import nluservice
from MorseCode import morse
# from wc import noname_wc
#import softalk as sf
from calender import getCalender, getCalLink, getCommandList
from news import ge... | 16,119 | 0 | 67 |
e033047e653a5d284cd1d9c31bd1fb747d758d2a | 5,522 | py | Python | tensorflow_federated/python/core/backends/iree/compiler.py | truthiswill/federated | d25eeac036dfc2a485120a195fd904223cfc823a | [
"Apache-2.0"
] | 1 | 2022-02-08T01:11:14.000Z | 2022-02-08T01:11:14.000Z | tensorflow_federated/python/core/backends/iree/compiler.py | truthiswill/federated | d25eeac036dfc2a485120a195fd904223cfc823a | [
"Apache-2.0"
] | null | null | null | tensorflow_federated/python/core/backends/iree/compiler.py | truthiswill/federated | d25eeac036dfc2a485120a195fd904223cfc823a | [
"Apache-2.0"
] | null | null | null | # Copyright 2020, The TensorFlow Federated 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 applicable law o... | 39.726619 | 80 | 0.74828 | # Copyright 2020, The TensorFlow Federated 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 applicable law o... | 0 | 0 | 0 |
39571e94baa89811230fb0af0126de9bc9159675 | 911 | py | Python | legacy/apps/smokegen_blob.py | tailintalent/PDE-Control | 7031909188e7ce217da2b1628236011d1dff161a | [
"MIT"
] | 22 | 2020-04-27T12:48:32.000Z | 2022-03-23T10:41:48.000Z | legacy/apps/smokegen_blob.py | tailintalent/PDE-Control | 7031909188e7ce217da2b1628236011d1dff161a | [
"MIT"
] | 5 | 2020-12-18T14:19:23.000Z | 2022-01-22T18:29:27.000Z | legacy/apps/smokegen_blob.py | tailintalent/PDE-Control | 7031909188e7ce217da2b1628236011d1dff161a | [
"MIT"
] | 3 | 2021-05-29T23:30:53.000Z | 2022-02-14T06:30:32.000Z | from phi.fluidformat import *
# for scene in scenes("~/data/control/squares"):
# scene.remove()
scenecount = 1000
for scene_index in range(scenecount):
scene = new_scene("~/data/control/squares")
start_x, start_y, end_x, end_y = np.random.randint(10, 110, 4)
print(scene)
scenelength = 32
vx =... | 37.958333 | 92 | 0.614709 | from phi.fluidformat import *
# for scene in scenes("~/data/control/squares"):
# scene.remove()
scenecount = 1000
for scene_index in range(scenecount):
scene = new_scene("~/data/control/squares")
start_x, start_y, end_x, end_y = np.random.randint(10, 110, 4)
print(scene)
scenelength = 32
vx =... | 0 | 0 | 0 |
59c7971bdd0fbc42647fd2f3df68d614494ae493 | 12,561 | py | Python | mango/marketmaking/modelstatebuilderfactory.py | bednie/mango-explorer | 4575395488e97a1f8cb52cc567e3307f11a28932 | [
"MIT"
] | null | null | null | mango/marketmaking/modelstatebuilderfactory.py | bednie/mango-explorer | 4575395488e97a1f8cb52cc567e3307f11a28932 | [
"MIT"
] | null | null | null | mango/marketmaking/modelstatebuilderfactory.py | bednie/mango-explorer | 4575395488e97a1f8cb52cc567e3307f11a28932 | [
"MIT"
] | null | null | null | # # ⚠ Warning
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT
# LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
# NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIA... | 33.857143 | 124 | 0.670727 | # # ⚠ Warning
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT
# LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
# NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIA... | 10,922 | 190 | 183 |
5d4633ef46069b638eb4cd14d524fd4a344a3b49 | 2,753 | py | Python | backend/tomato/lib/cmd/bittorrent.py | dswd/ToMaTo | 355fd3a8c7f95dc72c62383b3edfa8f6c0396bf4 | [
"BSD-4-Clause-UC"
] | 2 | 2016-11-10T06:12:05.000Z | 2016-11-10T06:12:10.000Z | hostmanager/tomato/lib/cmd/bittorrent.py | dswd/ToMaTo | 355fd3a8c7f95dc72c62383b3edfa8f6c0396bf4 | [
"BSD-4-Clause-UC"
] | 2 | 2015-01-19T16:00:24.000Z | 2015-01-20T11:33:56.000Z | backend/tomato/lib/cmd/bittorrent.py | dswd/ToMaTo | 355fd3a8c7f95dc72c62383b3edfa8f6c0396bf4 | [
"BSD-4-Clause-UC"
] | 1 | 2016-11-10T06:12:15.000Z | 2016-11-10T06:12:15.000Z | # -*- coding: utf-8 -*-
# ToMaTo (Topology management software)
# Copyright (C) 2010 Dennis Schwerdel, University of Kaiserslautern
#
# 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 vers... | 30.588889 | 155 | 0.726843 | # -*- coding: utf-8 -*-
# ToMaTo (Topology management software)
# Copyright (C) 2010 Dennis Schwerdel, University of Kaiserslautern
#
# 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 vers... | 1,641 | 0 | 185 |
d12742fbf604ea579708c7757f0f38ebaac260d8 | 667 | py | Python | hackathons/migrations/0014_auto_20190703_0453.py | Tookmund/hackerforce | d757910db1631e26e489a10a99fa67cd74292c4e | [
"Apache-2.0"
] | 11 | 2019-11-11T23:27:21.000Z | 2021-07-19T16:41:44.000Z | hackathons/migrations/0014_auto_20190703_0453.py | Tookmund/hackerforce | d757910db1631e26e489a10a99fa67cd74292c4e | [
"Apache-2.0"
] | 11 | 2019-12-24T17:10:05.000Z | 2021-06-09T18:22:59.000Z | hackathons/migrations/0014_auto_20190703_0453.py | hackumass/hackerforce | dfb6ac1304a7db21853765de9da795e8e9ef20bf | [
"Apache-2.0"
] | 7 | 2019-11-21T03:32:06.000Z | 2021-07-18T15:30:29.000Z | # Generated by Django 2.1.9 on 2019-07-03 04:53
from django.db import migrations, models
| 27.791667 | 161 | 0.593703 | # Generated by Django 2.1.9 on 2019-07-03 04:53
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('hackathons', '0013_auto_20190702_0649'),
]
operations = [
migrations.AddField(
model_name='lead',
name='times_contac... | 0 | 553 | 23 |
ed9008157534fcd41bdd7451e2a5f8dc32ad3e1a | 7,450 | py | Python | oidv6/samples/run.py | chuangzhu/OIDv6 | e46e66770c520c02e268f0b021fa72451c79ad1e | [
"MIT"
] | null | null | null | oidv6/samples/run.py | chuangzhu/OIDv6 | e46e66770c520c02e268f0b021fa72451c79ad1e | [
"MIT"
] | null | null | null | oidv6/samples/run.py | chuangzhu/OIDv6 | e46e66770c520c02e268f0b021fa72451c79ad1e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Массовая загрузка набора данных Open Images Dataset V6
python oidv6/samples/run.py <command> --classes названия_классов_или_текстовый_файл
[--dataset Dataset --type_data train --limit 0 --multi_classes --yes --no_labels --hide_metadata --no_clear_shell]
"""
# ##... | 45.426829 | 120 | 0.468725 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Массовая загрузка набора данных Open Images Dataset V6
python oidv6/samples/run.py <command> --classes названия_классов_или_текстовый_файл
[--dataset Dataset --type_data train --limit 0 --multi_classes --yes --no_labels --hide_metadata --no_clear_shell]
"""
# ##... | 359 | 0 | 77 |
fe4004b04e6ea7f0d42e97de6ac9ec98151e1cda | 4,585 | py | Python | tests/_internal/test_auth_handling.py | unparalleled-js/py42 | 8c6b054ddd8c2bfea92bf77b0d648af76f1efcf1 | [
"MIT"
] | 1 | 2020-08-18T22:00:22.000Z | 2020-08-18T22:00:22.000Z | tests/_internal/test_auth_handling.py | unparalleled-js/py42 | 8c6b054ddd8c2bfea92bf77b0d648af76f1efcf1 | [
"MIT"
] | null | null | null | tests/_internal/test_auth_handling.py | unparalleled-js/py42 | 8c6b054ddd8c2bfea92bf77b0d648af76f1efcf1 | [
"MIT"
] | 1 | 2021-05-10T23:33:34.000Z | 2021-05-10T23:33:34.000Z | import pytest
from requests import Response
from py42._internal.auth_handling import AuthHandler
from py42._internal.auth_handling import HeaderModifier
from py42._internal.auth_handling import TokenProvider
ORIGINAL_VALUE = "test-original-value"
UPDATED_VALUE = "test-updated-value"
CUSTOM_NAME = "Custom-Name"
DEFAUL... | 38.208333 | 116 | 0.844711 | import pytest
from requests import Response
from py42._internal.auth_handling import AuthHandler
from py42._internal.auth_handling import HeaderModifier
from py42._internal.auth_handling import TokenProvider
ORIGINAL_VALUE = "test-original-value"
UPDATED_VALUE = "test-updated-value"
CUSTOM_NAME = "Custom-Name"
DEFAUL... | 3,793 | 0 | 366 |
a879ae95f3a28053a492d4080bbb2ca055bd192d | 5,058 | py | Python | python/tensor/tensor_new.py | BenOsborn/Cerci | 5785ae0c9db8a88a5ac8d91aed29cdf0c0c7854a | [
"Apache-2.0"
] | null | null | null | python/tensor/tensor_new.py | BenOsborn/Cerci | 5785ae0c9db8a88a5ac8d91aed29cdf0c0c7854a | [
"Apache-2.0"
] | null | null | null | python/tensor/tensor_new.py | BenOsborn/Cerci | 5785ae0c9db8a88a5ac8d91aed29cdf0c0c7854a | [
"Apache-2.0"
] | null | null | null |
# There is probably a more efficient way to do this
# Now I need to do the actual backwards function | 38.318182 | 124 | 0.619217 | class AddElementwise:
@staticmethod
def forward(matrix_left, matrix_right, backwards=False):
assert(matrix_left.shape == matrix_right.shape)
new_tensor = [a+b for a, b in zip(matrix_left.tensor, matrix_right.tensor)]
if (not backwards):
return Tensor(new_tensor, matrix_left... | 4,366 | 275 | 307 |
467c004ada7353bc4bb87367e3774a1bba52e193 | 3,027 | py | Python | dfu/host/hex2dfu.py | LeHonk/usb-stack | 3869706a951eb00bf9ab630f0adb27c5676c3426 | [
"MIT"
] | null | null | null | dfu/host/hex2dfu.py | LeHonk/usb-stack | 3869706a951eb00bf9ab630f0adb27c5676c3426 | [
"MIT"
] | null | null | null | dfu/host/hex2dfu.py | LeHonk/usb-stack | 3869706a951eb00bf9ab630f0adb27c5676c3426 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2.7
# TODO: Actual values
devid = { 'p24fj256gb106': 0xFFFF
, 'p18f2550': 0x1234
}
targetmem = { 'int_flash': 0
, 'int_eeprom': 1
# , 'ext_flash': 2
# , 'ext_eeprom': 3
}
# TODO: Actual values
maxmem = { 'p24fj256gb106': {'int_flash':255*1024, 'int_eeprom':2048}
, 'p18f... | 36.914634 | 164 | 0.682524 | #!/usr/bin/env python2.7
# TODO: Actual values
devid = { 'p24fj256gb106': 0xFFFF
, 'p18f2550': 0x1234
}
targetmem = { 'int_flash': 0
, 'int_eeprom': 1
# , 'ext_flash': 2
# , 'ext_eeprom': 3
}
# TODO: Actual values
maxmem = { 'p24fj256gb106': {'int_flash':255*1024, 'int_eeprom':2048}
, 'p18f... | 0 | 0 | 0 |
43d92d931d95fafab64fab33655d9809b86351cf | 2,098 | py | Python | plots/midterm/FR_illustration.py | jokteur/ASMA | 25ac8a0455c680232d56c18d31de62c3188b7153 | [
"MIT"
] | 2 | 2021-11-01T09:13:17.000Z | 2022-03-08T14:34:16.000Z | plots/midterm/FR_illustration.py | jokteur/ASMA | 25ac8a0455c680232d56c18d31de62c3188b7153 | [
"MIT"
] | null | null | null | plots/midterm/FR_illustration.py | jokteur/ASMA | 25ac8a0455c680232d56c18d31de62c3188b7153 | [
"MIT"
] | null | null | null | import time
import copy
import os
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from matplotlib import gridspec
from matplotlib.animation import FuncAnimation
import matplotlib.animation as animation
import flowrect
from flowrect.simulations.util import calculate_age, calculate_mt, eta_SRM
fro... | 22.804348 | 87 | 0.64204 | import time
import copy
import os
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from matplotlib import gridspec
from matplotlib.animation import FuncAnimation
import matplotlib.animation as animation
import flowrect
from flowrect.simulations.util import calculate_age, calculate_mt, eta_SRM
fro... | 0 | 0 | 0 |
29d451b8dd8c0ba5e18591eb336cbb335fe1a3fb | 3,311 | py | Python | tk_recoder/tab_text_converter.py | anton-pribora/py-recoder | ee3cd3a6dc9ff78081ed963a16d765d0a004f4d6 | [
"MIT"
] | null | null | null | tk_recoder/tab_text_converter.py | anton-pribora/py-recoder | ee3cd3a6dc9ff78081ed963a16d765d0a004f4d6 | [
"MIT"
] | null | null | null | tk_recoder/tab_text_converter.py | anton-pribora/py-recoder | ee3cd3a6dc9ff78081ed963a16d765d0a004f4d6 | [
"MIT"
] | null | null | null | import tkinter as tk
from tkinter import ttk
import tkinter.scrolledtext as st
from tkinter import filedialog
from functools import partial
"""
Вкладка "перекодировать текст"
"""
def init_frame(self, frame: tk.Frame):
"""
Инициализация вкладки "Перекодировать текст"
:param tk_recoder.gui.Gui self: Осно... | 38.952941 | 116 | 0.598309 | import tkinter as tk
from tkinter import ttk
import tkinter.scrolledtext as st
from tkinter import filedialog
from functools import partial
"""
Вкладка "перекодировать текст"
"""
def init_frame(self, frame: tk.Frame):
"""
Инициализация вкладки "Перекодировать текст"
:param tk_recoder.gui.Gui self: Осно... | 1,297 | 0 | 54 |
e35513963af5102e6dfdfe622a13488cd9004a55 | 595 | py | Python | biggee.py | simretmengesha/PublicNLPA | eb62b32a3eb3f7db6fc03579c36f252b72266b65 | [
"MIT"
] | null | null | null | biggee.py | simretmengesha/PublicNLPA | eb62b32a3eb3f7db6fc03579c36f252b72266b65 | [
"MIT"
] | null | null | null | biggee.py | simretmengesha/PublicNLPA | eb62b32a3eb3f7db6fc03579c36f252b72266b65 | [
"MIT"
] | null | null | null |
# Bigram formation
# using list comprehension + enumerate() + split()
# initializing list
test_list = ['በሙቀት ጀምሮ በቅዝቃዜ መጨረስ የዚህ ዓለም መገለጫ ሆኗል እልልታ በኡኡታ፣ ሠርግ በግልግል፣ ማሬ የሚለው ቃል እሬቴ በሚልይለወጣል', 'ጨርሰው የማይሰሩ አሳሳቢ አይደሉም፣ አይሠሩምና። ብልሽት ያለባቸው ማሞቂያዎች ግን ሰውዬው ሲሞክራቸው ይሠራሉ ']
# printing the original list
print ("The original list ... | 33.055556 | 171 | 0.692437 |
# Bigram formation
# using list comprehension + enumerate() + split()
# initializing list
test_list = ['በሙቀት ጀምሮ በቅዝቃዜ መጨረስ የዚህ ዓለም መገለጫ ሆኗል እልልታ በኡኡታ፣ ሠርግ በግልግል፣ ማሬ የሚለው ቃል እሬቴ በሚልይለወጣል', 'ጨርሰው የማይሰሩ አሳሳቢ አይደሉም፣ አይሠሩምና። ብልሽት ያለባቸው ማሞቂያዎች ግን ሰውዬው ሲሞክራቸው ይሠራሉ ']
# printing the original list
print ("The original list ... | 0 | 0 | 0 |
be1ca7378afd4819c2e9608b28938a17a267e2d1 | 2,342 | py | Python | chia/consensus/coinbase.py | Hydrangea-Network/hydrangea-blockchain | d15662329958dbdaa9cbd99733ba729f0e74ce54 | [
"Apache-2.0"
] | 1 | 2022-03-15T06:41:49.000Z | 2022-03-15T06:41:49.000Z | chia/consensus/coinbase.py | Hydrangea-Network/hydrangea-blockchain | d15662329958dbdaa9cbd99733ba729f0e74ce54 | [
"Apache-2.0"
] | null | null | null | chia/consensus/coinbase.py | Hydrangea-Network/hydrangea-blockchain | d15662329958dbdaa9cbd99733ba729f0e74ce54 | [
"Apache-2.0"
] | null | null | null | from blspy import G1Element
from chia.types.blockchain_format.coin import Coin
from chia.types.blockchain_format.sized_bytes import bytes32
from chia.util.ints import uint32, uint64
from chia.wallet.puzzles.p2_delegated_puzzle_or_hidden_puzzle import puzzle_for_pk
| 45.038462 | 114 | 0.799744 | from blspy import G1Element
from chia.types.blockchain_format.coin import Coin
from chia.types.blockchain_format.sized_bytes import bytes32
from chia.util.ints import uint32, uint64
from chia.wallet.puzzles.p2_delegated_puzzle_or_hidden_puzzle import puzzle_for_pk
def create_puzzlehash_for_pk(pub_key: G1Element) -> ... | 1,816 | 0 | 253 |
7190d4a76e2659164c8852533d26134a504bdea3 | 1,524 | py | Python | apps/dcl/mdl/m_mdl.py | yt7589/cvep | 1f77169bdbb614ea32a30d98eba87b028b19890b | [
"Apache-2.0"
] | null | null | null | apps/dcl/mdl/m_mdl.py | yt7589/cvep | 1f77169bdbb614ea32a30d98eba87b028b19890b | [
"Apache-2.0"
] | null | null | null | apps/dcl/mdl/m_mdl.py | yt7589/cvep | 1f77169bdbb614ea32a30d98eba87b028b19890b | [
"Apache-2.0"
] | 1 | 2020-09-24T04:28:20.000Z | 2020-09-24T04:28:20.000Z | #
#
from os import stat
import pymongo
from apps.wxs.model.m_mongodb import MMongoDb
| 33.130435 | 83 | 0.599738 | #
#
from os import stat
import pymongo
from apps.wxs.model.m_mongodb import MMongoDb
class MMdl(object):
def __init__(self):
self.name = 'apps.wxs.model.MModel'
@staticmethod
def is_model_exists(model_name):
query_cond = {'model_name': model_name}
fields = {'model_id'... | 919 | 515 | 24 |
04031ae8151added17a1d39405820110dd82354f | 661 | py | Python | dags/book_data.py | blue-yonder/airflow-plugin-demo | c7044f97532c2f2a3d674762498cb6e58c3e1a1c | [
"CC0-1.0"
] | 55 | 2016-07-23T21:09:43.000Z | 2021-05-26T23:48:55.000Z | dags/book_data.py | blue-yonder/airflow-plugin-demo | c7044f97532c2f2a3d674762498cb6e58c3e1a1c | [
"CC0-1.0"
] | null | null | null | dags/book_data.py | blue-yonder/airflow-plugin-demo | c7044f97532c2f2a3d674762498cb6e58c3e1a1c | [
"CC0-1.0"
] | 21 | 2016-10-24T17:15:32.000Z | 2021-07-02T10:38:25.000Z | """
Workflow definition to book data
"""
from __future__ import division, absolute_import, print_function
from datetime import datetime, timedelta
from airflow import DAG
from airflow.operators import (
BookData
)
dag_id = "book_data"
schedule_interval = None
default_args = {
'owner': 'europython',
'de... | 19.441176 | 64 | 0.709531 | """
Workflow definition to book data
"""
from __future__ import division, absolute_import, print_function
from datetime import datetime, timedelta
from airflow import DAG
from airflow.operators import (
BookData
)
dag_id = "book_data"
schedule_interval = None
default_args = {
'owner': 'europython',
'de... | 0 | 0 | 0 |
8e453bcd4f0e7baa3c63a6cdd373f14f6c2a93bc | 1,103 | py | Python | alex/components/tts/test_voicerss.py | oplatek/alex | 73af644ec35c8a1cd0c37cd478c2afc1db717e0b | [
"Apache-2.0"
] | 184 | 2015-02-11T04:14:41.000Z | 2022-03-24T21:43:58.000Z | alex/components/tts/test_voicerss.py | oplatek/alex | 73af644ec35c8a1cd0c37cd478c2afc1db717e0b | [
"Apache-2.0"
] | 69 | 2015-01-11T04:57:22.000Z | 2019-04-24T10:25:56.000Z | alex/components/tts/test_voicerss.py | oplatek/alex | 73af644ec35c8a1cd0c37cd478c2afc1db717e0b | [
"Apache-2.0"
] | 61 | 2015-03-04T10:52:13.000Z | 2022-03-04T12:14:06.000Z | from unittest import TestCase
from alex.components.tts.voicerss import VoiceRssTTS
import alex.utils.audio as audio
import wave
from alex.utils.config import as_project_path
__author__ = 'm2rtin'
| 30.638889 | 91 | 0.56029 | from unittest import TestCase
from alex.components.tts.voicerss import VoiceRssTTS
import alex.utils.audio as audio
import wave
from alex.utils.config import as_project_path
__author__ = 'm2rtin'
class TestVoiceRssTTS(TestCase):
def test_synthesise_en(self):
text = 'Hello, this is alex, the call is reco... | 845 | 11 | 49 |
1639b5d6c5f1c18d8197d2c4d3ba9d689afeb72f | 2,096 | py | Python | tests/test_cpu_ins_txa.py | hspaans/6502-emulator | 02b802c43caf8a04833dd1f3d48077f9e2175e7e | [
"MIT"
] | null | null | null | tests/test_cpu_ins_txa.py | hspaans/6502-emulator | 02b802c43caf8a04833dd1f3d48077f9e2175e7e | [
"MIT"
] | null | null | null | tests/test_cpu_ins_txa.py | hspaans/6502-emulator | 02b802c43caf8a04833dd1f3d48077f9e2175e7e | [
"MIT"
] | null | null | null | """
TXA - Transfer Register X to Accumulator.
A = X
Copies the current contents of the X register into the accumulator and sets
the zero and negative flags as appropriate.
Processor Status after use:
+------+-------------------+--------------------------+
| Flag | Description | State |
+===... | 30.823529 | 75 | 0.380725 | """
TXA - Transfer Register X to Accumulator.
A = X
Copies the current contents of the X register into the accumulator and sets
the zero and negative flags as appropriate.
Processor Status after use:
+------+-------------------+--------------------------+
| Flag | Description | State |
+===... | 0 | 0 | 0 |
68da65c7b02b2e46698372cf6c71f0e9a96ad209 | 392 | py | Python | HSCTF/crypto/Randomization 1/solve.py | deut-erium/WriteUps | 36b4193f5fab9f95527a48626ecba631d5a03796 | [
"MIT"
] | 11 | 2020-06-06T05:28:27.000Z | 2022-01-09T00:42:49.000Z | 2020/HSCTF/crypto/Randomization 1/solve.py | CSEA-IITB/WriteUps | 46e7f36b0c4ef182cbaf375fd10fda954b6667a0 | [
"MIT"
] | 1 | 2020-09-06T18:19:55.000Z | 2020-09-06T18:19:55.000Z | HSCTF/crypto/Randomization 1/solve.py | deut-erium/WriteUps | 36b4193f5fab9f95527a48626ecba631d5a03796 | [
"MIT"
] | 6 | 2020-06-06T05:36:43.000Z | 2021-08-11T10:17:18.000Z | import pwn
HOST, PORT = "crypto.hsctf.com", 6001
rem = pwn.remote(HOST, PORT)
rem.recvline()
data = rem.recvline()
initial = data.decode().strip().split(':')[-1]
print(initial)
initial = int(initial)
for i in range(10):
rem.sendline(str(nextval(initial)).encode())
print(rem.recvline().decode())
initial ... | 19.6 | 48 | 0.668367 | import pwn
HOST, PORT = "crypto.hsctf.com", 6001
rem = pwn.remote(HOST, PORT)
rem.recvline()
data = rem.recvline()
def nextval(num):
return (num*0x25 + 0x41)&0xff
initial = data.decode().strip().split(':')[-1]
print(initial)
initial = int(initial)
for i in range(10):
rem.sendline(str(nextval(initial)).enco... | 30 | 0 | 23 |
f43edadce6082236a716b23df8d2ddde42461d1b | 4,086 | py | Python | camply/utils/yaml_utils.py | juftin/camply | d365ed10a62248edc428a68a8ee96743c4b8fa98 | [
"MIT"
] | 123 | 2021-05-19T04:56:47.000Z | 2022-03-23T19:04:45.000Z | camply/utils/yaml_utils.py | juftin/camply | d365ed10a62248edc428a68a8ee96743c4b8fa98 | [
"MIT"
] | 11 | 2021-05-25T20:22:14.000Z | 2022-03-05T16:31:32.000Z | camply/utils/yaml_utils.py | juftin/camply | 62d1a4423710a5e0f0366b5e9204b3639b358070 | [
"MIT"
] | 21 | 2021-05-24T05:53:24.000Z | 2022-03-31T02:03:41.000Z | #!/usr/bin/env python3
# Author:: Justin Flannery (mailto:juftin@juftin.com)
"""
YAML Utilities for Camply
"""
from datetime import datetime
import logging
import os
from pathlib import Path
from re import compile
from typing import Dict, Tuple
from yaml import load, SafeLoader
from camply.config import Search... | 34.627119 | 95 | 0.659325 | #!/usr/bin/env python3
# Author:: Justin Flannery (mailto:juftin@juftin.com)
"""
YAML Utilities for Camply
"""
from datetime import datetime
import logging
import os
from pathlib import Path
from re import compile
from typing import Dict, Tuple
from yaml import load, SafeLoader
from camply.config import Search... | 0 | 0 | 0 |
b31ed0506aad94a74db97c7798537089fe97130a | 9,136 | py | Python | TD/src/plots_nips2016.py | lucasgit/rl | 1c4bbfad0b11c040ece2b9a384f3781de2c729ca | [
"MIT"
] | 1 | 2022-01-21T13:52:50.000Z | 2022-01-21T13:52:50.000Z | TD/src/plots_nips2016.py | lucaslehnert/pgq | 1c4bbfad0b11c040ece2b9a384f3781de2c729ca | [
"MIT"
] | null | null | null | TD/src/plots_nips2016.py | lucaslehnert/pgq | 1c4bbfad0b11c040ece2b9a384f3781de2c729ca | [
"MIT"
] | null | null | null | '''
Created on May 23, 2016
@author: Lucas Lehnert (lucas.lehnert@mail.mcgill.ca)
Script to generate all plots from the NIPS 2016 paper.
'''
import matplotlib
matplotlib.use( 'agg' )
matplotlib.rcParams['text.usetex'] = True
matplotlib.rcParams['text.latex.preamble'] = [r'\usepackage{amsmath}']
import matplotlib.p... | 38.225941 | 118 | 0.611208 | '''
Created on May 23, 2016
@author: Lucas Lehnert (lucas.lehnert@mail.mcgill.ca)
Script to generate all plots from the NIPS 2016 paper.
'''
import matplotlib
matplotlib.use( 'agg' )
matplotlib.rcParams['text.usetex'] = True
matplotlib.rcParams['text.latex.preamble'] = [r'\usepackage{amsmath}']
import matplotlib.p... | 8,361 | 0 | 206 |
7685a9c20c104421e0db1cc9e039a8d431b744a3 | 852 | py | Python | project/Support/Code/actions/_accounts/account_group/edit/basic.py | fael07/Blog-Django-with-CBV | 269747b2e663a34b99acae6368db49c6ad37c2b8 | [
"MIT"
] | null | null | null | project/Support/Code/actions/_accounts/account_group/edit/basic.py | fael07/Blog-Django-with-CBV | 269747b2e663a34b99acae6368db49c6ad37c2b8 | [
"MIT"
] | null | null | null | project/Support/Code/actions/_accounts/account_group/edit/basic.py | fael07/Blog-Django-with-CBV | 269747b2e663a34b99acae6368db49c6ad37c2b8 | [
"MIT"
] | null | null | null | from Support.Code.actions.Support.utils.functions_dict import get_name
from django.utils.text import slugify
| 38.727273 | 97 | 0.681925 | from Support.Code.actions.Support.utils.functions_dict import get_name
from django.utils.text import slugify
def save_user_basic_and_update_user_save(request):
user = request.user
name: str = request.POST.get('name')
new_file = request.FILES.get('photo')
if new_file:
user.photo = new_file
... | 720 | 0 | 23 |
434db8b2f563775855ef95e274774e84780d15b1 | 5,444 | py | Python | tests/aggregate/elements.py | nadirhamid/protean | d31bc634e05c9221e82136bf18c2ceaa0982c1c8 | [
"BSD-3-Clause"
] | null | null | null | tests/aggregate/elements.py | nadirhamid/protean | d31bc634e05c9221e82136bf18c2ceaa0982c1c8 | [
"BSD-3-Clause"
] | null | null | null | tests/aggregate/elements.py | nadirhamid/protean | d31bc634e05c9221e82136bf18c2ceaa0982c1c8 | [
"BSD-3-Clause"
] | null | null | null | # Standard Library Imports
from datetime import datetime
from typing import List
# Protean
from protean.core.aggregate import BaseAggregate
from protean.core.entity import BaseEntity
from protean.core.field.association import HasMany, HasOne, Reference
from protean.core.field.basic import Auto, DateTime, Integer, Stri... | 25.203704 | 88 | 0.722998 | # Standard Library Imports
from datetime import datetime
from typing import List
# Protean
from protean.core.aggregate import BaseAggregate
from protean.core.entity import BaseEntity
from protean.core.field.association import HasMany, HasOne, Reference
from protean.core.field.basic import Auto, DateTime, Integer, Stri... | 78 | 3,899 | 711 |
852e2170c0125511f1261888c3694601b5d7bab3 | 10,455 | py | Python | bert_senteval.py | heartcored98/Trasnformer_Anatomy | 2100f690947abe513d9e5fef9df0dd9e44e17a43 | [
"MIT"
] | 16 | 2020-07-05T20:50:23.000Z | 2021-04-26T20:13:27.000Z | bert_senteval.py | heartcored98/Trasnformer_Anatomy | 2100f690947abe513d9e5fef9df0dd9e44e17a43 | [
"MIT"
] | null | null | null | bert_senteval.py | heartcored98/Trasnformer_Anatomy | 2100f690947abe513d9e5fef9df0dd9e44e17a43 | [
"MIT"
] | 3 | 2020-11-02T14:32:07.000Z | 2021-12-15T13:20:15.000Z | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
#%load_ext autoreload
#%autoreload 2
# In[ ]:
import sys
import torch
import numpy as np
import time
import hashlib
from os import listdir
from os.path import isfile, join
import pickle
import argparse
import json
from tqdm import tqdm
from copy import deepcopy
impo... | 33.402556 | 190 | 0.616069 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
#%load_ext autoreload
#%autoreload 2
# In[ ]:
import sys
import torch
import numpy as np
import time
import hashlib
from os import listdir
from os.path import isfile, join
import pickle
import argparse
import json
from tqdm import tqdm
from copy import deepcopy
impo... | 6,340 | 0 | 115 |
0668d699300db3de6998a525c2564293163ee37d | 2,963 | py | Python | sensors_test.py | kipkemoimayor/Traffic_control_system | 840c01b8c031d613524b87b91c8d938a33348b3c | [
"MIT"
] | 2 | 2019-06-15T09:58:08.000Z | 2020-08-24T09:51:37.000Z | sensors_test.py | kipkemoimayor/Traffic_control_system | 840c01b8c031d613524b87b91c8d938a33348b3c | [
"MIT"
] | null | null | null | sensors_test.py | kipkemoimayor/Traffic_control_system | 840c01b8c031d613524b87b91c8d938a33348b3c | [
"MIT"
] | 2 | 2019-06-26T07:30:05.000Z | 2020-08-24T09:51:42.000Z | import RPi.GPIO as GPIO
import time
dis=0
while True:
# Setup triggers and Echos of all sensors
GPIO.setmode(GPIO.BOARD)
TRIG=11
ECHO=13
GPIO.setup(TRIG,GPIO.OUT)
GPIO.setup(3,GPIO.OUT)
GPIO.setup(ECHO,GPIO.IN)
GPIO.setup(5,GPIO.IN)
GPIO.setup(35,GPIO.OUT)
GPIO.setup(31,GPIO.OU... | 20.576389 | 45 | 0.552143 | import RPi.GPIO as GPIO
import time
dis=0
while True:
# Setup triggers and Echos of all sensors
GPIO.setmode(GPIO.BOARD)
TRIG=11
ECHO=13
GPIO.setup(TRIG,GPIO.OUT)
GPIO.setup(3,GPIO.OUT)
GPIO.setup(ECHO,GPIO.IN)
GPIO.setup(5,GPIO.IN)
GPIO.setup(35,GPIO.OUT)
GPIO.setup(31,GPIO.OU... | 1,922 | 0 | 162 |
d7a3717a0624d7d45c29409cb86a2357bad037fd | 2,829 | py | Python | xbrlparser.py | emhlaos/bmv-scrapper | 70df08cddae4c2b3e472c3c22e639fca07a14c86 | [
"MIT"
] | 4 | 2018-03-01T03:22:45.000Z | 2021-09-25T02:44:51.000Z | xbrlparser.py | emhlaos/bmv-scrapper | 70df08cddae4c2b3e472c3c22e639fca07a14c86 | [
"MIT"
] | null | null | null | xbrlparser.py | emhlaos/bmv-scrapper | 70df08cddae4c2b3e472c3c22e639fca07a14c86 | [
"MIT"
] | 3 | 2020-04-22T15:10:29.000Z | 2021-06-23T03:45:08.000Z | """
Copyright C.C.:
Emiliano Hernandez Laos
https://github.com/emhlaos/
28/02/2018
"""
from urllib.request import urlopen
import os
from io import BytesIO
from zipfile import ZipFile
#LOAD FUNCTION:
currentdirectory = os.getcwd()
xbrldirectory = currentdirectory+"/xbrl"
if not os.path.exist... | 36.74026 | 112 | 0.487098 | """
Copyright C.C.:
Emiliano Hernandez Laos
https://github.com/emhlaos/
28/02/2018
"""
from urllib.request import urlopen
import os
from io import BytesIO
from zipfile import ZipFile
#LOAD FUNCTION:
currentdirectory = os.getcwd()
xbrldirectory = currentdirectory+"/xbrl"
if not os.path.exist... | 0 | 0 | 0 |
b56ad7a7bc1fe9805d9331eef23690d49bce762e | 2,351 | py | Python | hpedockerplugin/cmd/cmd_createshare.py | renovate-bot/python-hpedockerplugin | b7fa6b3193fa6dd42574585b4c621ff6a16babc9 | [
"Apache-2.0"
] | 49 | 2016-06-14T22:25:40.000Z | 2021-04-05T05:00:59.000Z | hpedockerplugin/cmd/cmd_createshare.py | imran-ansari/python-hpedockerplugin | e2726f48ac793dc894100e3772c40ce89bfe9bb8 | [
"Apache-2.0"
] | 550 | 2016-07-25T12:01:12.000Z | 2021-11-15T17:52:40.000Z | hpedockerplugin/cmd/cmd_createshare.py | imran-ansari/python-hpedockerplugin | e2726f48ac793dc894100e3772c40ce89bfe9bb8 | [
"Apache-2.0"
] | 96 | 2016-06-01T22:07:03.000Z | 2021-06-22T09:05:05.000Z | import six
from oslo_log import log as logging
from hpedockerplugin.cmd import cmd
from hpedockerplugin import exception
LOG = logging.getLogger(__name__)
| 40.534483 | 78 | 0.633348 | import six
from oslo_log import log as logging
from hpedockerplugin.cmd import cmd
from hpedockerplugin import exception
LOG = logging.getLogger(__name__)
class CreateShareCmd(cmd.Cmd):
def __init__(self, file_mgr, share_args):
self._file_mgr = file_mgr
self._etcd = file_mgr.get_etcd()
... | 2,080 | 9 | 103 |
fd444aca0dbc53e3b47c5e154be553cc2f88d847 | 156 | py | Python | tests/asp/cautious/sum.example11.cautious.asp.test.py | bernardocuteri/wasp | 05c8f961776dbdbf7afbf905ee00fc262eba51ad | [
"Apache-2.0"
] | 19 | 2015-12-03T08:53:45.000Z | 2022-03-31T02:09:43.000Z | tests/asp/cautious/sum.example11.cautious.asp.test.py | bernardocuteri/wasp | 05c8f961776dbdbf7afbf905ee00fc262eba51ad | [
"Apache-2.0"
] | 80 | 2017-11-25T07:57:32.000Z | 2018-06-10T19:03:30.000Z | tests/asp/cautious/sum.example11.cautious.asp.test.py | bernardocuteri/wasp | 05c8f961776dbdbf7afbf905ee00fc262eba51ad | [
"Apache-2.0"
] | 6 | 2015-01-15T07:51:48.000Z | 2020-06-18T14:47:48.000Z | input = """
1 2 3 2 3 4 5
1 3 3 2 2 4 5
1 4 3 2 2 3 5
1 5 0 0
5 6 4 3 0 2 3 4 2 2 2
1 1 1 1 6
0
4 c
3 b
2 a
0
B+
0
B-
1
0
1
"""
output = """
INCOHERENT
"""
| 6.782609 | 21 | 0.487179 | input = """
1 2 3 2 3 4 5
1 3 3 2 2 4 5
1 4 3 2 2 3 5
1 5 0 0
5 6 4 3 0 2 3 4 2 2 2
1 1 1 1 6
0
4 c
3 b
2 a
0
B+
0
B-
1
0
1
"""
output = """
INCOHERENT
"""
| 0 | 0 | 0 |
a7a70d0fc999c0ac172fafb16600e4829015a6d0 | 1,660 | py | Python | code4step2/register_images.py | yukeyi/MCDS-Capstone | f7ce48fc5d3f5f96c1f29556585ed2338683c7d2 | [
"MIT"
] | null | null | null | code4step2/register_images.py | yukeyi/MCDS-Capstone | f7ce48fc5d3f5f96c1f29556585ed2338683c7d2 | [
"MIT"
] | null | null | null | code4step2/register_images.py | yukeyi/MCDS-Capstone | f7ce48fc5d3f5f96c1f29556585ed2338683c7d2 | [
"MIT"
] | null | null | null | import os
import shutil
import pickle as pkl
import numpy as np
import SimpleITK as sitk
from data_registration import RegHearts
LOAD_DIR = '/pylon5/ac5616p/Data/HeartSegmentationProject/CAP_challenge/CAP_challenge_training_set/test2/brain/total/'
'''
Generator function to get one pair of fixed and moving image at a ... | 31.923077 | 118 | 0.655422 | import os
import shutil
import pickle as pkl
import numpy as np
import SimpleITK as sitk
from data_registration import RegHearts
LOAD_DIR = '/pylon5/ac5616p/Data/HeartSegmentationProject/CAP_challenge/CAP_challenge_training_set/test2/brain/total/'
'''
Generator function to get one pair of fixed and moving image at a ... | 1,109 | 0 | 44 |
d2dda46de2a802ec9a1d557c8bb1545bff13d2d7 | 4,235 | py | Python | octoprint_LCD1602/__init__.py | Marien1993/LCD-octoprint | eae8fd9b2ab5a5799b25b6f0684b081c77cc0aad | [
"MIT"
] | null | null | null | octoprint_LCD1602/__init__.py | Marien1993/LCD-octoprint | eae8fd9b2ab5a5799b25b6f0684b081c77cc0aad | [
"MIT"
] | null | null | null | octoprint_LCD1602/__init__.py | Marien1993/LCD-octoprint | eae8fd9b2ab5a5799b25b6f0684b081c77cc0aad | [
"MIT"
] | null | null | null | # coding=utf-8
"""
LCD1602 Plugin for Octoprint
"""
from __future__ import absolute_import
from octoprint.printer.estimation import PrintTimeEstimator
import octoprint.plugin
import octoprint.events
from RPLCD.i2c import CharLCD
import time
import datetime
import os
import sys
from fake_rpi import printf
import fak... | 27.147436 | 120 | 0.651948 | # coding=utf-8
"""
LCD1602 Plugin for Octoprint
"""
from __future__ import absolute_import
from octoprint.printer.estimation import PrintTimeEstimator
import octoprint.plugin
import octoprint.events
from RPLCD.i2c import CharLCD
import time
import datetime
import os
import sys
from fake_rpi import printf
import fak... | 3,542 | 141 | 179 |
f282ae2d0aacafe56cfc3e396879274fc628595a | 4,876 | py | Python | assignment2/PythonApplication1.py | JungChaeMoon/room_escape | 1417caf6b9cc6228b2f1faf533d73c986cc04704 | [
"MIT"
] | null | null | null | assignment2/PythonApplication1.py | JungChaeMoon/room_escape | 1417caf6b9cc6228b2f1faf533d73c986cc04704 | [
"MIT"
] | null | null | null | assignment2/PythonApplication1.py | JungChaeMoon/room_escape | 1417caf6b9cc6228b2f1faf533d73c986cc04704 | [
"MIT"
] | null | null | null | from bangtal import *
import random
import copy
import time
setGameOption(GameOption.INVENTORY_BUTTON, False)
setGameOption(GameOption.MESSAGE_BOX_BUTTON, False)
main_scene = Scene("퍼즐게임", "images/backgroud.PNG")
scene1 = Scene("Loopy 퍼즐", "images/backgroud.PNG")
scene2 ... | 14.426036 | 209 | 0.561116 | from bangtal import *
import random
import copy
import time
setGameOption(GameOption.INVENTORY_BUTTON, False)
setGameOption(GameOption.MESSAGE_BOX_BUTTON, False)
main_scene = Scene("퍼즐게임", "images/backgroud.PNG")
scene1 = Scene("Loopy 퍼즐", "images/backgroud.PNG")
scene2 ... | 3,310 | 0 | 250 |
40b5fd4c0ce2924a38851bdad6bd0745fb2bd736 | 349 | py | Python | akeydo/plugins/__init__.py | dangle/vfio-kvm | 13ed6f6b2ebbc2e23afe267866e321a2fd51a337 | [
"MIT"
] | 30 | 2021-01-15T18:22:26.000Z | 2021-06-02T14:10:40.000Z | akeydo/plugins/__init__.py | dangle/vfio-kvm | 13ed6f6b2ebbc2e23afe267866e321a2fd51a337 | [
"MIT"
] | 11 | 2021-01-23T05:37:06.000Z | 2021-04-21T21:50:37.000Z | akeydo/plugins/__init__.py | dangle/vfio-kvm | 13ed6f6b2ebbc2e23afe267866e321a2fd51a337 | [
"MIT"
] | null | null | null | import sys
if sys.version_info < (3, 10):
from importlib_metadata import entry_points
else:
from importlib.metadata import entry_points
from . import (
cpu,
devices,
gpu,
memory,
)
__all__ = (
"cpu",
"devices",
"gpu",
"installed_plugins",
"memory",
)
installed_plugins = ... | 13.96 | 48 | 0.647564 | import sys
if sys.version_info < (3, 10):
from importlib_metadata import entry_points
else:
from importlib.metadata import entry_points
from . import (
cpu,
devices,
gpu,
memory,
)
__all__ = (
"cpu",
"devices",
"gpu",
"installed_plugins",
"memory",
)
installed_plugins = ... | 0 | 0 | 0 |
5d36cde055910519c7a52a7522ef39460d4a9945 | 3,888 | py | Python | pltools/train/module.py | PhoenixDL/PytorchLightningTools | 86185062d4792e6d5eae002a5594bb7b900106a1 | [
"MIT"
] | 3 | 2020-05-18T06:34:52.000Z | 2020-07-17T07:11:57.000Z | pltools/train/module.py | PhoenixDL/PytorchLightningTools | 86185062d4792e6d5eae002a5594bb7b900106a1 | [
"MIT"
] | 6 | 2021-06-25T18:21:06.000Z | 2021-06-25T18:21:32.000Z | pltools/train/module.py | PhoenixDL/PytorchLightningTools | 86185062d4792e6d5eae002a5594bb7b900106a1 | [
"MIT"
] | 1 | 2020-05-18T06:34:56.000Z | 2020-05-18T06:34:56.000Z | from __future__ import annotations
import typing
import torch
from torch.utils.data import DataLoader
import pytorch_lightning as pl
from pltools.config import Config
transform_type = typing.Iterable[typing.Callable]
| 31.354839 | 72 | 0.590021 | from __future__ import annotations
import typing
import torch
from torch.utils.data import DataLoader
import pytorch_lightning as pl
from pltools.config import Config
transform_type = typing.Iterable[typing.Callable]
class Module(pl.LightningModule):
def __init__(self,
hparams: Config,
... | 3,126 | 493 | 46 |
5be2c7014a6a8285c9a8486e36cad38accdcfdce | 959 | py | Python | postprocessors.py | ahmetb/simplegauges | c5a1e809f4534f72c436141f3c506b252ebb6b40 | [
"Apache-2.0"
] | 2 | 2015-02-14T22:26:36.000Z | 2015-06-22T12:01:16.000Z | postprocessors.py | ahmetalpbalkan/simplegauges | c5a1e809f4534f72c436141f3c506b252ebb6b40 | [
"Apache-2.0"
] | null | null | null | postprocessors.py | ahmetalpbalkan/simplegauges | c5a1e809f4534f72c436141f3c506b252ebb6b40 | [
"Apache-2.0"
] | 1 | 2019-04-15T13:45:11.000Z | 2019-04-15T13:45:11.000Z | # coding: utf-8
from datetime import timedelta
from helpers import make_record
def day_fill(data, fill_value=None):
"""Given a data set with missing day values sorted by day, adds records
with value of `fill_value`
"""
return generic_day_fill(1, data, fill_value)
def week_fill(data, fill_value=None... | 28.205882 | 75 | 0.630865 | # coding: utf-8
from datetime import timedelta
from helpers import make_record
def day_fill(data, fill_value=None):
"""Given a data set with missing day values sorted by day, adds records
with value of `fill_value`
"""
return generic_day_fill(1, data, fill_value)
def week_fill(data, fill_value=None... | 456 | 0 | 23 |
ac8a99e9b1eb5584ca24c2aca70dd9be5d5154e8 | 2,373 | py | Python | Examples/AppKit/FieldGraph/CGraphModel.py | Khan/pyobjc-framework-Cocoa | f8b015ea2a72d8d78be6084fb12925c4785b8f1f | [
"MIT"
] | 132 | 2015-01-01T10:02:42.000Z | 2022-03-09T12:51:01.000Z | mac/pyobjc-framework-Cocoa/Examples/AppKit/FieldGraph/CGraphModel.py | mba811/music-player | 7998986b34cfda2244ef622adefb839331b81a81 | [
"BSD-2-Clause"
] | 6 | 2015-01-06T08:23:19.000Z | 2019-03-14T12:22:06.000Z | mac/pyobjc-framework-Cocoa/Examples/AppKit/FieldGraph/CGraphModel.py | mba811/music-player | 7998986b34cfda2244ef622adefb839331b81a81 | [
"BSD-2-Clause"
] | 27 | 2015-02-23T11:51:43.000Z | 2022-03-07T02:34:18.000Z | from Foundation import NSObject
from objc import *
from AppKit import NSBezierPath
from fieldMath import *
#____________________________________________________________
| 28.939024 | 122 | 0.572693 | from Foundation import NSObject
from objc import *
from AppKit import NSBezierPath
from fieldMath import *
#____________________________________________________________
class CGraphModel(NSObject):
def init(self):
self.field = [1.0, 1.12, 0.567]
self.phase = [degToRad(0), degToRad(152.6), degToRa... | 1,902 | 7 | 292 |
e8a306946d3872aaea3b9a534d70503e4797fe01 | 1,549 | py | Python | opticspy/ray_tracing/tests/test1_spotdiagram.py | benJephunneh/opticspy | a0b841f60f7c053b05444c0e8886cd4a99c4d082 | [
"MIT"
] | null | null | null | opticspy/ray_tracing/tests/test1_spotdiagram.py | benJephunneh/opticspy | a0b841f60f7c053b05444c0e8886cd4a99c4d082 | [
"MIT"
] | null | null | null | opticspy/ray_tracing/tests/test1_spotdiagram.py | benJephunneh/opticspy | a0b841f60f7c053b05444c0e8886cd4a99c4d082 | [
"MIT"
] | null | null | null | from __future__ import division as division
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import field
import traceray
import surface
import cal_tools
# test ray.py and traceray.py
# define rays
l1 = np.linspace(-5,5,10)
Pos1 = []
for i in l1:
for j in l1:
if i**2+j**... | 19.123457 | 95 | 0.684312 | from __future__ import division as division
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import field
import traceray
import surface
import cal_tools
# test ray.py and traceray.py
# define rays
l1 = np.linspace(-5,5,10)
Pos1 = []
for i in l1:
for j in l1:
if i**2+j**... | 0 | 0 | 0 |
0584d6f43da520c5c77daa1e83965714f77af218 | 2,050 | py | Python | core/test/mime/test_mime_codec_register.py | bogonets/answer | 57f892a9841980bcbc35fa1e27521b34cd94bc25 | [
"MIT"
] | 3 | 2021-06-20T02:24:10.000Z | 2022-01-26T23:55:33.000Z | core/test/mime/test_mime_codec_register.py | bogonets/answer | 57f892a9841980bcbc35fa1e27521b34cd94bc25 | [
"MIT"
] | null | null | null | core/test/mime/test_mime_codec_register.py | bogonets/answer | 57f892a9841980bcbc35fa1e27521b34cd94bc25 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from unittest import TestCase, main
from recc.mime.mime_codec_register import get_global_mime_register
if __name__ == "__main__":
main()
| 36.607143 | 71 | 0.692683 | # -*- coding: utf-8 -*-
from unittest import TestCase, main
from recc.mime.mime_codec_register import get_global_mime_register
class _ComplexObject:
def __init__(self):
self.test_data1 = "text"
self.test_data2 = 100
self.test_data3 = 3.14
class MimeCodecRegisterTestCase(TestCase):
d... | 1,680 | 21 | 179 |
59330cfcf5414e3f86a1a7f10c339aa1302b5819 | 4,186 | py | Python | concise_fanyi.py | Yo-gurts/dict | 86e662ba9b7599473332c61de05635e8dce24f83 | [
"MIT"
] | null | null | null | concise_fanyi.py | Yo-gurts/dict | 86e662ba9b7599473332c61de05635e8dce24f83 | [
"MIT"
] | null | null | null | concise_fanyi.py | Yo-gurts/dict | 86e662ba9b7599473332c61de05635e8dce24f83 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3.7
import sys
import json
import signal
import urllib.request as urllib
import threading
import pyperclip
import time
if __name__ == '__main__':
exitflag = False
try:
signal.signal(signal.SIGINT, quit)
signal.signal(signal.SIGTERM, quit)
thread1 = Cli... | 29.272727 | 115 | 0.4742 | #!/usr/bin/env python3.7
import sys
import json
import signal
import urllib.request as urllib
import threading
import pyperclip
import time
class Dict:
key = '716426270'
keyFrom = 'wufeifei'
api = 'http://fanyi.youdao.com/openapi.do?keyfrom=wufeifei&key=716426270&type=data&doctype=json&version=1.1&q='
... | 3,147 | 280 | 198 |
ce0cef8e0251b3e6085357fac68c61249be16c60 | 2,512 | py | Python | wikipedia_fetch.py | nik7273/computational-medical-knowledge | 03357fc63382bed49509d7860f87a3d010f03018 | [
"Apache-2.0"
] | null | null | null | wikipedia_fetch.py | nik7273/computational-medical-knowledge | 03357fc63382bed49509d7860f87a3d010f03018 | [
"Apache-2.0"
] | null | null | null | wikipedia_fetch.py | nik7273/computational-medical-knowledge | 03357fc63382bed49509d7860f87a3d010f03018 | [
"Apache-2.0"
] | 1 | 2019-09-17T18:38:44.000Z | 2019-09-17T18:38:44.000Z | # -*- coding: utf-8 -*-
#Search Wikipedia for Heart Attack
import wikipedia, codecs, itertools, os, time
from pprint import pprint
relevant_categories = {'medical','emergencies','disease'}
conditions = ["heart attack","palpitations"] #Search all related pages?
make_filename = lambda aStr: aStr.replace(' ','_'... | 55.822222 | 143 | 0.615844 | # -*- coding: utf-8 -*-
#Search Wikipedia for Heart Attack
import wikipedia, codecs, itertools, os, time
from pprint import pprint
relevant_categories = {'medical','emergencies','disease'}
def findRelevantArticles(term,data_path='.'):
articleList = []
articles = wikipedia.search(term) #Setting suggestion = Fa... | 2,033 | 0 | 23 |
dd59d853dc65578a9c1c4b63d4f2b0e492d54f61 | 14,741 | py | Python | accounts/views.py | witty-technologies-empowerment/codeupblood | a0aa1725e5776d80e083b6d4e9e67476bb97e983 | [
"MIT"
] | null | null | null | accounts/views.py | witty-technologies-empowerment/codeupblood | a0aa1725e5776d80e083b6d4e9e67476bb97e983 | [
"MIT"
] | null | null | null | accounts/views.py | witty-technologies-empowerment/codeupblood | a0aa1725e5776d80e083b6d4e9e67476bb97e983 | [
"MIT"
] | 1 | 2022-01-19T11:09:13.000Z | 2022-01-19T11:09:13.000Z | from django.shortcuts import render
from django.contrib.auth.models import User
from django.contrib.auth import authenticate, login, logout
from django.http import HttpResponseRedirect
from django.urls import reverse
from django.contrib.auth.decorators import login_required
from datetime import datetime, timedelta
from... | 35.86618 | 114 | 0.521606 | from django.shortcuts import render
from django.contrib.auth.models import User
from django.contrib.auth import authenticate, login, logout
from django.http import HttpResponseRedirect
from django.urls import reverse
from django.contrib.auth.decorators import login_required
from datetime import datetime, timedelta
from... | 13,692 | 0 | 228 |
6bdd6d4d7f38f692c96a75ae5e82669cba9cf73b | 1,036 | py | Python | programs_tutorial_2/direct_disks_multirun.py | golu-golu/statistcal-mechanics | 8ff66280ee5a6a816e6ca70934e92001e624dfad | [
"MIT"
] | null | null | null | programs_tutorial_2/direct_disks_multirun.py | golu-golu/statistcal-mechanics | 8ff66280ee5a6a816e6ca70934e92001e624dfad | [
"MIT"
] | null | null | null | programs_tutorial_2/direct_disks_multirun.py | golu-golu/statistcal-mechanics | 8ff66280ee5a6a816e6ca70934e92001e624dfad | [
"MIT"
] | null | null | null | import random, math
N = 16
eta = 0.26
sigma = math.sqrt(eta / N / math.pi)
n_runs = 100
print 'Note that this program might take a while!'
for run in range(n_runs):
iterations, config = direct_disks(N, sigma)
print 'run',run
print iterations - 1, 'tabula rasa wipe-outs before producing the following confi... | 26.564103 | 94 | 0.542471 | import random, math
def dist(x,y):
d_x = abs(x[0] - y[0]) % 1.0
d_x = min(d_x, 1.0 - d_x)
d_y = abs(x[1] - y[1]) % 1.0
d_y = min(d_y, 1.0 - d_y)
return math.sqrt(d_x**2 + d_y**2)
def direct_disks(N, sigma):
n_iter = 0
condition = False
while condition == False:
n_iter += 1... | 628 | 0 | 50 |
9ae56ae95d290db134f2e153096fa8dd43af143f | 190 | py | Python | Python/Topics/Regexp functions in Python/Matching username requirements/main.py | drtierney/hyperskill-problems | b74da993f0ac7bcff1cbd5d89a3a1b06b05f33e0 | [
"MIT"
] | 5 | 2020-08-29T15:15:31.000Z | 2022-03-01T18:22:34.000Z | Python/Topics/Regexp functions in Python/Matching username requirements/main.py | drtierney/hyperskill-problems | b74da993f0ac7bcff1cbd5d89a3a1b06b05f33e0 | [
"MIT"
] | null | null | null | Python/Topics/Regexp functions in Python/Matching username requirements/main.py | drtierney/hyperskill-problems | b74da993f0ac7bcff1cbd5d89a3a1b06b05f33e0 | [
"MIT"
] | 1 | 2020-12-02T11:13:14.000Z | 2020-12-02T11:13:14.000Z | import re
template = r"[a-zA-Z]"
username = input()
match = re.match(template, username)
if match:
print("Thank you!")
else:
print("Oops! The username has to start with a letter.")
| 19 | 59 | 0.668421 | import re
template = r"[a-zA-Z]"
username = input()
match = re.match(template, username)
if match:
print("Thank you!")
else:
print("Oops! The username has to start with a letter.")
| 0 | 0 | 0 |
ac03251cb2681eb1fe70b4d5e22c86a343b0173e | 1,428 | py | Python | tools/get_comm.py | hfingler/ava | 8ade884d82dc1465a24fd1ab682a54afe1765f6e | [
"BSD-2-Clause"
] | null | null | null | tools/get_comm.py | hfingler/ava | 8ade884d82dc1465a24fd1ab682a54afe1765f6e | [
"BSD-2-Clause"
] | null | null | null | tools/get_comm.py | hfingler/ava | 8ade884d82dc1465a24fd1ab682a54afe1765f6e | [
"BSD-2-Clause"
] | 1 | 2021-06-17T16:13:27.000Z | 2021-06-17T16:13:27.000Z | import argparse
import numpy as np
if __name__ == '__main__':
main()
| 29.75 | 85 | 0.553221 | import argparse
import numpy as np
def load_stats(file_name, stats):
with open(file_name, 'r') as fin:
for line in fin:
sp = line.strip().split(",")
time = sp[1].strip()
namesp = sp[0].split(" ")
name = namesp[1]
if name not in stats:
... | 1,305 | 0 | 46 |
6f33ee5e698e01170b6449db0fd472335c766d53 | 814 | py | Python | src/livecoding/pythonreloader.py | ashwoods/python-qt-live-coding | b87e6fed021c5a9af72dee3b7b32f9c799816b8e | [
"MIT"
] | 37 | 2018-07-08T04:53:12.000Z | 2022-03-17T07:33:21.000Z | src/livecoding/pythonreloader.py | ashwoods/python-qt-live-coding | b87e6fed021c5a9af72dee3b7b32f9c799816b8e | [
"MIT"
] | 2 | 2020-01-07T22:03:29.000Z | 2020-09-28T12:15:57.000Z | src/livecoding/pythonreloader.py | ashwoods/python-qt-live-coding | b87e6fed021c5a9af72dee3b7b32f9c799816b8e | [
"MIT"
] | 6 | 2020-02-12T18:55:13.000Z | 2021-12-31T03:54:40.000Z | # -*- coding: utf-8 -*-
import os
import sys
import signal
import inspect
from qtpy.QtCore import QObject, Slot
| 30.148148 | 84 | 0.638821 | # -*- coding: utf-8 -*-
import os
import sys
import signal
import inspect
from qtpy.QtCore import QObject, Slot
class PythonReloader(QObject):
def __init__(self, main, parent=None):
super(PythonReloader, self).__init__(parent)
self._main = main
@Slot()
def restart(self):
import_d... | 603 | 74 | 23 |
28dbf580557251c65f5af58073dd31f05369dcdd | 482 | py | Python | sla_cli/src/db/accessors/abbreviations.py | DavidWalshe93/SL-CLI | c92ca8a6e57eb51bf9c9433013ce16d443f8d152 | [
"MIT"
] | 2 | 2022-01-07T09:59:32.000Z | 2022-01-25T12:04:06.000Z | sla_cli/src/db/accessors/abbreviations.py | DavidWalshe93/SL-CLI | c92ca8a6e57eb51bf9c9433013ce16d443f8d152 | [
"MIT"
] | null | null | null | sla_cli/src/db/accessors/abbreviations.py | DavidWalshe93/SL-CLI | c92ca8a6e57eb51bf9c9433013ce16d443f8d152 | [
"MIT"
] | 1 | 2021-04-07T17:14:37.000Z | 2021-04-07T17:14:37.000Z | """
Author: David Walshe
Date: 08 April 2021
"""
import logging
from tabulate import tabulate
from sla_cli.src.db.accessors.base import Accessor
logger = logging.getLogger(__name__)
| 24.1 | 143 | 0.69917 | """
Author: David Walshe
Date: 08 April 2021
"""
import logging
from tabulate import tabulate
from sla_cli.src.db.accessors.base import Accessor
logger = logging.getLogger(__name__)
class Abbreviations(Accessor):
def abbreviations(self, tablefmt: str = "simple") -> str:
"""Returns the abbre... | 0 | 262 | 23 |
2ef452770876cc4be160a58e302e2efdc1a66543 | 20,528 | py | Python | tia/analysis/model/ret.py | lsternlicht/tia | fe74d1876260a946e52bd733bc32da0698749f2c | [
"BSD-3-Clause"
] | null | null | null | tia/analysis/model/ret.py | lsternlicht/tia | fe74d1876260a946e52bd733bc32da0698749f2c | [
"BSD-3-Clause"
] | null | null | null | tia/analysis/model/ret.py | lsternlicht/tia | fe74d1876260a946e52bd733bc32da0698749f2c | [
"BSD-3-Clause"
] | null | null | null | from collections import OrderedDict
import pandas as pd
import numpy as np
from tia.util.decorator import lazy_property
from tia.analysis.model.interface import TxnPlColumns as TPL
from tia.analysis.perf import drawdown_info, drawdowns, guess_freq, downside_deviation, periodicity
from tia.analysis.plots import plot_r... | 42.589212 | 120 | 0.610581 | from collections import OrderedDict
import pandas as pd
import numpy as np
from tia.util.decorator import lazy_property
from tia.analysis.model.interface import TxnPlColumns as TPL
from tia.analysis.perf import drawdown_info, drawdowns, guess_freq, downside_deviation, periodicity
from tia.analysis.plots import plot_r... | 10,461 | 8,768 | 270 |
90edd1b0fcff1bcb117d544390d61e218a49058d | 158 | py | Python | lib/solutions/HLO/hello_solution.py | DPNT-Sourcecode/FIZ-rsof01 | a1820f2122c122dbf574077f08014967f83fbd9b | [
"Apache-2.0"
] | null | null | null | lib/solutions/HLO/hello_solution.py | DPNT-Sourcecode/FIZ-rsof01 | a1820f2122c122dbf574077f08014967f83fbd9b | [
"Apache-2.0"
] | null | null | null | lib/solutions/HLO/hello_solution.py | DPNT-Sourcecode/FIZ-rsof01 | a1820f2122c122dbf574077f08014967f83fbd9b | [
"Apache-2.0"
] | null | null | null |
# noinspection PyUnusedLocal
# friend_name = unicode string
#print(hello("Mike"))
| 15.8 | 39 | 0.664557 |
# noinspection PyUnusedLocal
# friend_name = unicode string
def hello(friend_name):
return("Hello, %s!" %friend_name )
#print(hello("Mike"))
| 42 | 0 | 25 |
bd98f8d6beada389f1d1528af29830037c5efe1e | 3,535 | py | Python | sketch/srft.py | wangshusen/PyRLA | 066876545c8501dca8ec857676465553a0ebb822 | [
"MIT"
] | 12 | 2018-06-15T09:49:36.000Z | 2020-05-08T12:42:06.000Z | sketch/srft.py | wangshusen/PyRLA | 066876545c8501dca8ec857676465553a0ebb822 | [
"MIT"
] | 1 | 2020-06-09T11:46:05.000Z | 2020-06-09T12:24:59.000Z | sketch/srft.py | wangshusen/PyRLA | 066876545c8501dca8ec857676465553a0ebb822 | [
"MIT"
] | 3 | 2018-11-05T19:14:21.000Z | 2019-10-23T02:41:10.000Z | import numpy
# Remark:
# Real FFT with even n is faster than real FFT with odd n.
# I do not know why.
def realfft_col(a_mat):
'''
Real Fast Fourier Transform (FFT) Independently Applied to Each Column of A
Input
a_mat: n-by-d dense NumPy matrix.
Output
c_mat: n-by-d matr... | 31.008772 | 79 | 0.604809 | import numpy
# Remark:
# Real FFT with even n is faster than real FFT with odd n.
# I do not know why.
def realfft_col(a_mat):
'''
Real Fast Fourier Transform (FFT) Independently Applied to Each Column of A
Input
a_mat: n-by-d dense NumPy matrix.
Output
c_mat: n-by-d matr... | 0 | 0 | 0 |
72f88fd1c8c07e12acd9c900a420a669aa067518 | 1,162 | py | Python | ifsp2019/publication_plot.py | andrekorol/flare-hunter | 530d29275429b934d0ee8a20e21ed3ccc514e40c | [
"MIT"
] | null | null | null | ifsp2019/publication_plot.py | andrekorol/flare-hunter | 530d29275429b934d0ee8a20e21ed3ccc514e40c | [
"MIT"
] | 1 | 2021-08-31T19:17:19.000Z | 2021-08-31T19:17:19.000Z | ifsp2019/publication_plot.py | andrekorol/flare-hunter | 530d29275429b934d0ee8a20e21ed3ccc514e40c | [
"MIT"
] | null | null | null | from urldl import download
from pycallisto import fitsfile
callisto_archives = 'http://soleil80.cs.technik.fhnw.ch/' \
'solarradio/data/2002-20yy_Callisto/'
filelist = [
"BLEN7M_20110216_133009_24.fit.gz", "BLEN7M_20110216_134510_24.fit.gz",
"BLEN7M_20110216_140011_24.fit.gz", "BLEN7M_2011... | 41.5 | 76 | 0.634251 | from urldl import download
from pycallisto import fitsfile
callisto_archives = 'http://soleil80.cs.technik.fhnw.ch/' \
'solarradio/data/2002-20yy_Callisto/'
filelist = [
"BLEN7M_20110216_133009_24.fit.gz", "BLEN7M_20110216_134510_24.fit.gz",
"BLEN7M_20110216_140011_24.fit.gz", "BLEN7M_2011... | 0 | 0 | 0 |
81ae7822a3dffbe5464ea6afa6466f1447ad89c3 | 420 | py | Python | script.py | aptmess/detectime | 8e0eac3c93a984448731b3311741ee22a7e881f4 | [
"MIT"
] | 2 | 2021-07-04T16:08:04.000Z | 2021-08-03T08:42:03.000Z | script.py | aptmess/detectime | 8e0eac3c93a984448731b3311741ee22a7e881f4 | [
"MIT"
] | null | null | null | script.py | aptmess/detectime | 8e0eac3c93a984448731b3311741ee22a7e881f4 | [
"MIT"
] | null | null | null | import logging
import yaml
from detectime.detectime import detectron
from definitions import ROOT_DIR
from detectime.utils import convert_dict_to_tuple
log = logging.getLogger(__name__)
CONFIG_PATH = 'config.yml'
if __name__ == '__main__':
main()
| 20 | 51 | 0.747619 | import logging
import yaml
from detectime.detectime import detectron
from definitions import ROOT_DIR
from detectime.utils import convert_dict_to_tuple
log = logging.getLogger(__name__)
CONFIG_PATH = 'config.yml'
def main():
with open(ROOT_DIR / CONFIG_PATH) as f:
data = yaml.safe_load(f)
config = c... | 141 | 0 | 23 |
3fe7567364e0b02ea873d5bd1fc31a5761c15b2e | 2,090 | py | Python | CloneWars.py | hallba/UnicornWrightFisher | 9ed4cc5e21b47cee7f2c70dc8638d031169a4b9c | [
"MIT"
] | 4 | 2021-04-09T19:45:47.000Z | 2021-04-29T11:04:19.000Z | CloneWars.py | hallba/UnicornWrightFisher | 9ed4cc5e21b47cee7f2c70dc8638d031169a4b9c | [
"MIT"
] | null | null | null | CloneWars.py | hallba/UnicornWrightFisher | 9ed4cc5e21b47cee7f2c70dc8638d031169a4b9c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Clone wars simulator.
Simulates the growth of clones in a 2D space.
Mutations are induced by button presses.
Currently untested.
"""
import splash
splash.splashScreen("CloneWars!",rotation=270)
import signal
import sys
import RPi.GPIO as GPIO
try:
import numpy as np
... | 29.027778 | 83 | 0.688517 | #!/usr/bin/env python
"""Clone wars simulator.
Simulates the growth of clones in a 2D space.
Mutations are induced by button presses.
Currently untested.
"""
import splash
splash.splashScreen("CloneWars!",rotation=270)
import signal
import sys
import RPi.GPIO as GPIO
try:
import numpy as np
... | 156 | 0 | 104 |
0d008bce694ff1d6c230937c72eb568aa96b7de2 | 3,146 | py | Python | policy/migrations/0001_initial.py | agnihotri7/demo-api | ffccd7e7a21b99cb8282045b4c3343ff5888c527 | [
"RSA-MD"
] | null | null | null | policy/migrations/0001_initial.py | agnihotri7/demo-api | ffccd7e7a21b99cb8282045b4c3343ff5888c527 | [
"RSA-MD"
] | null | null | null | policy/migrations/0001_initial.py | agnihotri7/demo-api | ffccd7e7a21b99cb8282045b4c3343ff5888c527 | [
"RSA-MD"
] | null | null | null | # Generated by Django 4.0.2 on 2022-02-06 09:41
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| 47.666667 | 219 | 0.579148 | # Generated by Django 4.0.2 on 2022-02-06 09:41
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | 0 | 2,966 | 23 |
3b6a9325a976409cce0829d84577cbe4814d5ff2 | 2,660 | py | Python | ann/neuralnetwork.py | manoloesparta/logicnet | 97c6ee9be9bce9060c9cc4b51d0344df246500f9 | [
"MIT"
] | 2 | 2020-07-15T01:41:41.000Z | 2020-12-10T03:19:40.000Z | ann/neuralnetwork.py | manoloesparta/logicnet | 97c6ee9be9bce9060c9cc4b51d0344df246500f9 | [
"MIT"
] | null | null | null | ann/neuralnetwork.py | manoloesparta/logicnet | 97c6ee9be9bce9060c9cc4b51d0344df246500f9 | [
"MIT"
] | null | null | null | import numpy as np | 45.862069 | 113 | 0.687594 | import numpy as np
class NeuralNetwork:
def __init__(self, inputs_nodes, hidden_layer1, hidden_layer2, output_nodes, learning_rate):
self.inputs_nodes = inputs_nodes
self.hidden_layer1 = hidden_layer1
self.hidden_layer2 = hidden_layer2
self.output_nodes = output_nodes
self... | 2,493 | 126 | 23 |
17ff2db4a4ef5d618281004b11bf14de2106dc58 | 885 | py | Python | lh/tdd.py | skyf0cker/Statistical_learning_method | 8151f3b8595ac086f08d161dc0cb961946f4b7fc | [
"MIT"
] | 3 | 2019-03-25T14:15:30.000Z | 2019-08-29T15:02:47.000Z | lh/tdd.py | skyf0cker/Statistical_learning_method | 8151f3b8595ac086f08d161dc0cb961946f4b7fc | [
"MIT"
] | null | null | null | lh/tdd.py | skyf0cker/Statistical_learning_method | 8151f3b8595ac086f08d161dc0cb961946f4b7fc | [
"MIT"
] | null | null | null | from EMAlgorithm import EmAlgorithm
import numpy as np
def create_data(mu0, sigma0, mu1, sigma1, alpha0, alpha1):
'''
初始化数据集
这里通过服从高斯分布的随机函数来伪造数据集
:param mu0: 高斯0的均值
:param sigma0: 高斯0的方差
:param mu1: 高斯1的均值
:param sigma1: 高斯1的方差
:param alpha0: 高斯0的系数
:param alpha1: 高斯1的系数
:retu... | 21.071429 | 63 | 0.656497 | from EMAlgorithm import EmAlgorithm
import numpy as np
def create_data(mu0, sigma0, mu1, sigma1, alpha0, alpha1):
'''
初始化数据集
这里通过服从高斯分布的随机函数来伪造数据集
:param mu0: 高斯0的均值
:param sigma0: 高斯0的方差
:param mu1: 高斯1的均值
:param sigma1: 高斯1的方差
:param alpha0: 高斯0的系数
:param alpha1: 高斯1的系数
:retu... | 0 | 0 | 0 |
df7dd05fd77b54c6bccf40f3142f23f5cd3af718 | 662 | py | Python | fcos_core/data/datasets/create_eccv_index.py | touchylk/fcoseccv | f9141bf98ffed6bd1292779ac022742c15d4555d | [
"BSD-2-Clause"
] | null | null | null | fcos_core/data/datasets/create_eccv_index.py | touchylk/fcoseccv | f9141bf98ffed6bd1292779ac022742c15d4555d | [
"BSD-2-Clause"
] | null | null | null | fcos_core/data/datasets/create_eccv_index.py | touchylk/fcoseccv | f9141bf98ffed6bd1292779ac022742c15d4555d | [
"BSD-2-Clause"
] | 1 | 2020-10-04T13:23:33.000Z | 2020-10-04T13:23:33.000Z | import os
xmldir = '/media/e813/E/dataset/eccv/eccv/VisDrone2018-VID-val/xmlannotations'
# datasetdir = '/media/e813/E/dataset/eccv/eccv/VisDrone2018-VID-train'
# file = os.path.join(datasetdir,'index.txt')
# f = open(file,'w')
count=0
for seq in os.listdir(xmldir):
seqpath = os.path.join(xmldir,seq)
for n,xml_... | 30.090909 | 78 | 0.610272 | import os
xmldir = '/media/e813/E/dataset/eccv/eccv/VisDrone2018-VID-val/xmlannotations'
# datasetdir = '/media/e813/E/dataset/eccv/eccv/VisDrone2018-VID-train'
# file = os.path.join(datasetdir,'index.txt')
# f = open(file,'w')
count=0
for seq in os.listdir(xmldir):
seqpath = os.path.join(xmldir,seq)
for n,xml_... | 0 | 0 | 0 |
176c7ac46bee6e48a191724b39af0f412b02198f | 3,298 | py | Python | pepys_admin/maintenance/dialogs/add_dialog.py | debrief/pepys-import | 12d29c0e0f69e1119400334983947893e7679b6b | [
"Apache-2.0"
] | 4 | 2021-05-14T08:22:47.000Z | 2022-02-04T19:48:25.000Z | pepys_admin/maintenance/dialogs/add_dialog.py | debrief/pepys-import | 12d29c0e0f69e1119400334983947893e7679b6b | [
"Apache-2.0"
] | 1,083 | 2019-11-06T17:01:07.000Z | 2022-03-25T10:26:51.000Z | pepys_admin/maintenance/dialogs/add_dialog.py | debrief/pepys-import | 12d29c0e0f69e1119400334983947893e7679b6b | [
"Apache-2.0"
] | 4 | 2019-11-06T12:00:45.000Z | 2021-06-09T04:18:28.000Z | import textwrap
from asyncio import Future
from prompt_toolkit.layout.containers import HSplit
from prompt_toolkit.layout.dimension import D
from prompt_toolkit.widgets import Button, Label
from prompt_toolkit.widgets.dialogs import Dialog
from pepys_admin.maintenance.utils import get_system_name_mappings
from pepys_... | 35.462366 | 97 | 0.650091 | import textwrap
from asyncio import Future
from prompt_toolkit.layout.containers import HSplit
from prompt_toolkit.layout.dimension import D
from prompt_toolkit.widgets import Button, Label
from prompt_toolkit.widgets.dialogs import Dialog
from pepys_admin.maintenance.utils import get_system_name_mappings
from pepys_... | 1,180 | 1,707 | 23 |
bf0caeb72b9942c65f74bec1e761950a9b7f6e2d | 624 | py | Python | array/mergeTwoSortedArray.py | saai/LeetcodePythonSolutions | 201f2054dda3f303ae6a376b40cbc7f98688322c | [
"MIT"
] | null | null | null | array/mergeTwoSortedArray.py | saai/LeetcodePythonSolutions | 201f2054dda3f303ae6a376b40cbc7f98688322c | [
"MIT"
] | null | null | null | array/mergeTwoSortedArray.py | saai/LeetcodePythonSolutions | 201f2054dda3f303ae6a376b40cbc7f98688322c | [
"MIT"
] | null | null | null | # @param {integer[]} nums1
# @param {integer} m
# @param {integer[]} nums2
# @param {integer} n
# @return {void} Do not return anything, modify nums1 in-place instead. | 28.363636 | 75 | 0.421474 | class Solution:
# @param {integer[]} nums1
# @param {integer} m
# @param {integer[]} nums2
# @param {integer} n
# @return {void} Do not return anything, modify nums1 in-place instead.
def merge(self, nums1, m, nums2, n):
p1 = m-1
p2 = n-1
p3 = m+n-1
while(p1>=0 an... | 395 | -6 | 48 |
b9200d72886d859c7087fdff26f823fe6a74a941 | 4,928 | py | Python | molecule/default/tests/test_default.py | chas0amx/ansible-postfix | b129c57fdddf00447a715cccea0758878de22d0b | [
"Apache-2.0"
] | 1 | 2022-02-28T10:22:07.000Z | 2022-02-28T10:22:07.000Z | molecule/default/tests/test_default.py | chas0amx/ansible-postfix | b129c57fdddf00447a715cccea0758878de22d0b | [
"Apache-2.0"
] | 7 | 2021-11-18T07:25:50.000Z | 2022-03-31T12:25:24.000Z | molecule/default/tests/test_default.py | chas0amx/ansible-postfix | b129c57fdddf00447a715cccea0758878de22d0b | [
"Apache-2.0"
] | 1 | 2022-03-02T10:17:23.000Z | 2022-03-02T10:17:23.000Z |
from ansible.parsing.dataloader import DataLoader
from ansible.template import Templar
import json
import pytest
import os
import testinfra.utils.ansible_runner
testinfra_hosts = testinfra.utils.ansible_runner.AnsibleRunner(
os.environ['MOLECULE_INVENTORY_FILE']).get_hosts('all')
@pytest.fixture()
def get_... | 26.494624 | 114 | 0.656859 |
from ansible.parsing.dataloader import DataLoader
from ansible.template import Templar
import json
import pytest
import os
import testinfra.utils.ansible_runner
testinfra_hosts = testinfra.utils.ansible_runner.AnsibleRunner(
os.environ['MOLECULE_INVENTORY_FILE']).get_hosts('all')
def pp_json(json_thing, sort... | 528 | 0 | 46 |
c7055528d28431a2d229dc6240bb39f42df97a2f | 42,845 | py | Python | tests/pydevtest/test_chunkydevtest.py | PlantandFoodResearch/irods | 9dfe7ffe5aa0760b7493bd9392ea1270df9335d4 | [
"BSD-3-Clause"
] | null | null | null | tests/pydevtest/test_chunkydevtest.py | PlantandFoodResearch/irods | 9dfe7ffe5aa0760b7493bd9392ea1270df9335d4 | [
"BSD-3-Clause"
] | null | null | null | tests/pydevtest/test_chunkydevtest.py | PlantandFoodResearch/irods | 9dfe7ffe5aa0760b7493bd9392ea1270df9335d4 | [
"BSD-3-Clause"
] | null | null | null | import sys
if (sys.version_info >= (2,7)):
import unittest
else:
import unittest2 as unittest
import pydevtest_sessions as s
from pydevtest_common import assertiCmd, assertiCmdFail, interruptiCmd
from resource_suite import ResourceBase
import commands
import os, stat
import datetime
import time
import shutil
im... | 49.474596 | 180 | 0.61328 | import sys
if (sys.version_info >= (2,7)):
import unittest
else:
import unittest2 as unittest
import pydevtest_sessions as s
from pydevtest_common import assertiCmd, assertiCmdFail, interruptiCmd
from resource_suite import ResourceBase
import commands
import os, stat
import datetime
import time
import shutil
im... | 41,733 | 13 | 297 |
df366a12904a7d087fb699c3ddcbd77bc7584ac9 | 1,920 | py | Python | app/models/trade_models.py | VaughnDV/instrument-trader | 1d4d4b8a36ee834c7111768e9f0d8bc15d027893 | [
"MIT"
] | null | null | null | app/models/trade_models.py | VaughnDV/instrument-trader | 1d4d4b8a36ee834c7111768e9f0d8bc15d027893 | [
"MIT"
] | null | null | null | app/models/trade_models.py | VaughnDV/instrument-trader | 1d4d4b8a36ee834c7111768e9f0d8bc15d027893 | [
"MIT"
] | null | null | null | from sqlalchemy import Column, ForeignKey, Integer, String, Enum, Float, DateTime, func
from sqlalchemy.orm import relationship
import enum
from app.database import Base
| 31.47541 | 87 | 0.717708 | from sqlalchemy import Column, ForeignKey, Integer, String, Enum, Float, DateTime, func
from sqlalchemy.orm import relationship
import enum
from app.database import Base
class Trader(Base):
__tablename__ = "trader"
id = Column(Integer, primary_key=True, index=True)
name = Column(String, unique=True, index... | 0 | 1,606 | 138 |
15c2fef63b2d4ac40cf07d490bc31012681666a9 | 7,940 | py | Python | APC400000/MelodicComponent.py | martinpechmann/APC400000 | 0783dd2f7c3846684f785b15e651c61edf95e27c | [
"BSD-Source-Code"
] | 6 | 2019-09-15T18:46:49.000Z | 2021-09-10T06:36:10.000Z | APC400000/MelodicComponent.py | martinpechmann/APC400000 | 0783dd2f7c3846684f785b15e651c61edf95e27c | [
"BSD-Source-Code"
] | 3 | 2015-06-14T22:47:01.000Z | 2015-06-17T14:24:47.000Z | APC400000/MelodicComponent.py | martinpechmann/APC400000 | 0783dd2f7c3846684f785b15e651c61edf95e27c | [
"BSD-Source-Code"
] | 1 | 2016-12-21T12:18:14.000Z | 2016-12-21T12:18:14.000Z | # Embedded file name: c:\Jenkins\live\output\win_32_static\Release\midi-remote-scripts\Push\MelodicComponent.py
from __future__ import with_statement
from _Framework.Util import forward_property, find_if
from _Framework.SubjectSlot import subject_slot
from _Framework.ModesComponent import ModesComponent, LayerMode
from... | 44.111111 | 233 | 0.693955 | # Embedded file name: c:\Jenkins\live\output\win_32_static\Release\midi-remote-scripts\Push\MelodicComponent.py
from __future__ import with_statement
from _Framework.Util import forward_property, find_if
from _Framework.SubjectSlot import subject_slot
from _Framework.ModesComponent import ModesComponent, LayerMode
from... | 5,891 | 1,276 | 23 |
1b385350022d77771f9fd2a0d89d1eb2b4a50830 | 2,917 | py | Python | coral_deeplab/pretrained.py | xadrianzetx/coral-deeplab | aa685a9b694339685d3fc7510296ecbe513838bb | [
"MIT"
] | 5 | 2021-03-15T10:26:14.000Z | 2022-03-03T14:33:07.000Z | coral_deeplab/pretrained.py | xadrianzetx/coral-deeplab | aa685a9b694339685d3fc7510296ecbe513838bb | [
"MIT"
] | 3 | 2021-06-28T22:07:29.000Z | 2021-10-16T17:48:31.000Z | coral_deeplab/pretrained.py | xadrianzetx/coral-deeplab | aa685a9b694339685d3fc7510296ecbe513838bb | [
"MIT"
] | 2 | 2021-06-29T08:06:02.000Z | 2021-09-30T08:15:08.000Z | # MIT License
# Copyright (c) 2021 xadrianzetx
# 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, merge, pu... | 39.418919 | 80 | 0.731231 | # MIT License
# Copyright (c) 2021 xadrianzetx
# 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, merge, pu... | 0 | 1,720 | 69 |
73296fabb1841f8ea0d871204567b5801050b15c | 1,619 | py | Python | metalprot/database/database_download.py | lonelu/Metalprot | e51bee472c975aa171bdb6ee426a07ca69f110ee | [
"MIT"
] | null | null | null | metalprot/database/database_download.py | lonelu/Metalprot | e51bee472c975aa171bdb6ee426a07ca69f110ee | [
"MIT"
] | null | null | null | metalprot/database/database_download.py | lonelu/Metalprot | e51bee472c975aa171bdb6ee426a07ca69f110ee | [
"MIT"
] | null | null | null | import os
import prody as pr
# Manipulate rcsb file
def organize_rcsb_file(workdir = "/mnt/e/DesignData/ligands/NI_rcsb/"):
'''
The .csv files downloaded from rcsb database will be combined first,
then generate tab deliminated txt file.
'''
all_lines = []
for file in os.listdir(workdir):
... | 30.54717 | 91 | 0.551575 | import os
import prody as pr
# Manipulate rcsb file
def organize_rcsb_file(workdir = "/mnt/e/DesignData/ligands/NI_rcsb/"):
'''
The .csv files downloaded from rcsb database will be combined first,
then generate tab deliminated txt file.
'''
all_lines = []
for file in os.listdir(workdir):
... | 879 | 0 | 23 |
0ce7701a7823d8739f05f92a5128f0b1ff249404 | 2,146 | py | Python | config.py | jackgibson2/lambda-cleaner | 433fbf7b7393a6d49771346e5b48939428ed663a | [
"MIT"
] | null | null | null | config.py | jackgibson2/lambda-cleaner | 433fbf7b7393a6d49771346e5b48939428ed663a | [
"MIT"
] | null | null | null | config.py | jackgibson2/lambda-cleaner | 433fbf7b7393a6d49771346e5b48939428ed663a | [
"MIT"
] | null | null | null | import os
import json
import boto3
REGION = 'us-east-2'
session = boto3.session.Session(profile_name='sandbox')
#iam = boto3.resource('iam', region_name=REGION)
policy = {
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": "ec2:DeleteVolume",
"... | 26.825 | 75 | 0.536813 | import os
import json
import boto3
REGION = 'us-east-2'
session = boto3.session.Session(profile_name='sandbox')
#iam = boto3.resource('iam', region_name=REGION)
policy = {
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": "ec2:DeleteVolume",
"... | 0 | 0 | 0 |
35ad11a063628120bac86d92a7d8d61ab2e3bf24 | 11,098 | py | Python | python_modules/dagster-graphql/dagster_graphql/dauphin_registry.py | ericct/dagster | dd2c9f05751e1bae212a30dbc54381167a14f6c5 | [
"Apache-2.0"
] | 1 | 2021-04-30T00:19:20.000Z | 2021-04-30T00:19:20.000Z | python_modules/dagster-graphql/dagster_graphql/dauphin_registry.py | ericct/dagster | dd2c9f05751e1bae212a30dbc54381167a14f6c5 | [
"Apache-2.0"
] | null | null | null | python_modules/dagster-graphql/dagster_graphql/dauphin_registry.py | ericct/dagster | dd2c9f05751e1bae212a30dbc54381167a14f6c5 | [
"Apache-2.0"
] | null | null | null | """
Dauphin is wrapper module around graphene meant to provide a couple additional
features. Most importantly is a type registry. Instead of referring to
the class that corresponds to the GraphQL type everywhere, you are instead
allows to use the GraphQL string. This solves an immediate short term problem
in that it is... | 35.915858 | 100 | 0.67769 | """
Dauphin is wrapper module around graphene meant to provide a couple additional
features. Most importantly is a type registry. Instead of referring to
the class that corresponds to the GraphQL type everywhere, you are instead
allows to use the GraphQL string. This solves an immediate short term problem
in that it is... | 8,463 | 34 | 674 |
434f9a60d0158ff1d591eee55a9eecd875a4fe07 | 155 | py | Python | 10/00/7.py | pylangstudy/201708 | 126b1af96a1d1f57522d5a1d435b58597bea2e57 | [
"CC0-1.0"
] | null | null | null | 10/00/7.py | pylangstudy/201708 | 126b1af96a1d1f57522d5a1d435b58597bea2e57 | [
"CC0-1.0"
] | 39 | 2017-07-31T22:54:01.000Z | 2017-08-31T00:19:03.000Z | 10/00/7.py | pylangstudy/201708 | 126b1af96a1d1f57522d5a1d435b58597bea2e57 | [
"CC0-1.0"
] | null | null | null | #!python3.6
print("int: {0:d}; hex: {0:x}; oct: {0:o}; bin: {0:b}".format(42))
print("int: {0:d}; hex: {0:#x}; oct: {0:#o}; bin: {0:#b}".format(42))
| 38.75 | 72 | 0.477419 | #!python3.6
print("int: {0:d}; hex: {0:x}; oct: {0:o}; bin: {0:b}".format(42))
print("int: {0:d}; hex: {0:#x}; oct: {0:#o}; bin: {0:#b}".format(42))
| 0 | 0 | 0 |
aa2b998413ca4e625b5b5ade9809014351a9b998 | 1,592 | py | Python | server.py | nagasudhirpulla/grafana_smscountry_webhook | d8ab182b8f5ec12f00eaf966ec15a234782154e0 | [
"MIT"
] | null | null | null | server.py | nagasudhirpulla/grafana_smscountry_webhook | d8ab182b8f5ec12f00eaf966ec15a234782154e0 | [
"MIT"
] | null | null | null | server.py | nagasudhirpulla/grafana_smscountry_webhook | d8ab182b8f5ec12f00eaf966ec15a234782154e0 | [
"MIT"
] | null | null | null | from flask import Flask, request
from waitress import serve
from src.config.appConfig import loadAppConfig
from src.logs.loggerFactory import getFileLogger
from src.services.smsSender import SmsApi
# get application config
appConf = loadAppConfig()
# setup logging based on application config
backUpCount = appConf["b... | 29.481481 | 76 | 0.702261 | from flask import Flask, request
from waitress import serve
from src.config.appConfig import loadAppConfig
from src.logs.loggerFactory import getFileLogger
from src.services.smsSender import SmsApi
# get application config
appConf = loadAppConfig()
# setup logging based on application config
backUpCount = appConf["b... | 358 | 0 | 44 |
2b3d9561450c764cc9dff63f42c7c64befb8dd30 | 1,213 | py | Python | gans/CGAN/loader.py | IvLabs/Variational-DL | cd431564ae77ba42a485db17416a6033b32c48fb | [
"MIT"
] | 37 | 2020-12-24T10:03:16.000Z | 2022-01-18T05:37:07.000Z | gans/CGAN/loader.py | vignesh-creator/Variational-DL | cd431564ae77ba42a485db17416a6033b32c48fb | [
"MIT"
] | 1 | 2021-10-03T20:04:36.000Z | 2021-10-04T17:21:51.000Z | gans/CGAN/loader.py | vignesh-creator/Variational-DL | cd431564ae77ba42a485db17416a6033b32c48fb | [
"MIT"
] | 36 | 2020-12-27T16:38:27.000Z | 2022-03-21T17:20:22.000Z | import torch
from torchvision import transforms, datasets
from torch.utils.data import DataLoader
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
training_data = datasets.CIFAR10(root="data", train=True, download=True,
transform=transforms.Compose([
... | 44.925926 | 96 | 0.575433 | import torch
from torchvision import transforms, datasets
from torch.utils.data import DataLoader
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
training_data = datasets.CIFAR10(root="data", train=True, download=True,
transform=transforms.Compose([
... | 0 | 0 | 0 |
cc96cf4d5225718933a96ae5b76fe27a222e3d90 | 11,003 | py | Python | eservice/pdo/sservice/block_store_manager.py | sambacha/private-data-objects | 635049918b362ba81ad74469cbea6b2c53380d9e | [
"Apache-2.0"
] | 84 | 2018-05-04T15:07:53.000Z | 2022-03-23T09:38:17.000Z | eservice/pdo/sservice/block_store_manager.py | sambacha/private-data-objects | 635049918b362ba81ad74469cbea6b2c53380d9e | [
"Apache-2.0"
] | 218 | 2018-05-07T20:10:25.000Z | 2022-03-23T17:27:44.000Z | eservice/pdo/sservice/block_store_manager.py | sambacha/private-data-objects | 635049918b362ba81ad74469cbea6b2c53380d9e | [
"Apache-2.0"
] | 33 | 2018-03-02T20:32:18.000Z | 2021-09-17T07:07:57.000Z | # Copyright 2019 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 in wri... | 37.42517 | 103 | 0.624375 | # Copyright 2019 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 in wri... | 631 | 0 | 133 |
c47aef6a568a84a910fe9d901ba372f17176b9e3 | 1,435 | py | Python | pymc/examples/gp/PyMCmodel.py | rsumner31/pymc3-23 | 539c0fc04c196679a1cdcbf4bc2dbea4dee10080 | [
"Apache-2.0"
] | 1 | 2019-03-01T02:47:20.000Z | 2019-03-01T02:47:20.000Z | pymc/examples/gp/PyMCmodel.py | rsumner31/pymc3-23 | 539c0fc04c196679a1cdcbf4bc2dbea4dee10080 | [
"Apache-2.0"
] | 1 | 2019-08-17T06:58:38.000Z | 2019-08-17T06:58:38.000Z | pymc/examples/gp/PyMCmodel.py | rsumner31/pymc3-23 | 539c0fc04c196679a1cdcbf4bc2dbea4dee10080 | [
"Apache-2.0"
] | null | null | null | import pymc as pm
import pymc.gp as gp
from pymc.gp.cov_funs import matern
import numpy as np
import matplotlib.pyplot as pl
from numpy.random import normal
x = np.arange(-1.,1.,.1)
# Prior parameters of C
diff_degree = pm.Uniform('diff_degree', .1, 3)
amp = pm.Lognormal('amp', mu=.4, tau=1.)
scale = pm.Lognormal(... | 25.625 | 89 | 0.65993 | import pymc as pm
import pymc.gp as gp
from pymc.gp.cov_funs import matern
import numpy as np
import matplotlib.pyplot as pl
from numpy.random import normal
x = np.arange(-1.,1.,.1)
# Prior parameters of C
diff_degree = pm.Uniform('diff_degree', .1, 3)
amp = pm.Lognormal('amp', mu=.4, tau=1.)
scale = pm.Lognormal(... | 275 | 0 | 66 |
1ff0470a82f8e325dec69db737d3ded8bf488a17 | 734 | py | Python | HW4/PyMaxflow-master/examples/simple.py | ardaduz/math-cgv | bc89c0ce9beca9a9f02ca23bcf4a9116be187882 | [
"MIT"
] | null | null | null | HW4/PyMaxflow-master/examples/simple.py | ardaduz/math-cgv | bc89c0ce9beca9a9f02ca23bcf4a9116be187882 | [
"MIT"
] | null | null | null | HW4/PyMaxflow-master/examples/simple.py | ardaduz/math-cgv | bc89c0ce9beca9a9f02ca23bcf4a9116be187882 | [
"MIT"
] | 1 | 2021-02-14T10:41:17.000Z | 2021-02-14T10:41:17.000Z | import maxflow
# Create a graph with integer capacities.
g = maxflow.Graph[int](2, 2)
# Add two (non-terminal) nodes. Get the index to the first one.
nodes = g.add_nodes(2)
# Create two edges (forwards and backwards) with the given capacities.
# The indices of the nodes are always consecutive.
g.add_edge(nodes[0], nod... | 31.913043 | 70 | 0.701635 | import maxflow
# Create a graph with integer capacities.
g = maxflow.Graph[int](2, 2)
# Add two (non-terminal) nodes. Get the index to the first one.
nodes = g.add_nodes(2)
# Create two edges (forwards and backwards) with the given capacities.
# The indices of the nodes are always consecutive.
g.add_edge(nodes[0], nod... | 0 | 0 | 0 |
bb753e65a660ad6b0da4c898f341c53f5a413d54 | 395 | py | Python | storm_analysis/diagnostics/frc/analyze_data.py | oxfordni/storm-analysis | 835a5c17497c563c3632db561ae7e7c9144a8dd1 | [
"CNRI-Python"
] | null | null | null | storm_analysis/diagnostics/frc/analyze_data.py | oxfordni/storm-analysis | 835a5c17497c563c3632db561ae7e7c9144a8dd1 | [
"CNRI-Python"
] | null | null | null | storm_analysis/diagnostics/frc/analyze_data.py | oxfordni/storm-analysis | 835a5c17497c563c3632db561ae7e7c9144a8dd1 | [
"CNRI-Python"
] | null | null | null | #!/usr/bin/env python
"""
Analyze FRC data.
Hazen 01/18
"""
import glob
import storm_analysis.frc.frc_calc2d as frcCalc2d
dirs = sorted(glob.glob("test*"))
total_time = 0.0
for a_dir in dirs:
print()
print("Analyzing:", a_dir)
print()
hdf5 = a_dir + "/test.hdf5"
frc_text = a_dir + "/frc.txt"... | 15.8 | 49 | 0.643038 | #!/usr/bin/env python
"""
Analyze FRC data.
Hazen 01/18
"""
import glob
import storm_analysis.frc.frc_calc2d as frcCalc2d
dirs = sorted(glob.glob("test*"))
total_time = 0.0
for a_dir in dirs:
print()
print("Analyzing:", a_dir)
print()
hdf5 = a_dir + "/test.hdf5"
frc_text = a_dir + "/frc.txt"... | 0 | 0 | 0 |